id	sid	tid	token	lemma	pos
brj-22082	1	1	peer	peer	NOUN
brj-22082	1	2	-	-	PUNCT
brj-22082	1	3	review	review	NOUN
brj-22082	1	4	article	article	NOUN
brj-22082	1	5	peer	peer	NOUN
brj-22082	1	6	-	-	PUNCT
brj-22082	1	7	reviewed	review	VERB
brj-22082	1	8	article	article	NOUN
brj-22082	1	9	bioresources.com	bioresources.com	X
brj-22082	1	10	li	li	PROPN
brj-22082	1	11	et	et	PROPN
brj-22082	1	12	al	al	PROPN
brj-22082	1	13	.	.	PROPN
brj-22082	1	14	(	(	PUNCT
brj-22082	1	15	2022	2022	NUM
brj-22082	1	16	)	)	PUNCT
brj-22082	1	17	.	.	PUNCT
brj-22082	2	1	“	"	PUNCT
brj-22082	2	2	3d	3d	NUM
brj-22082	2	3	reconstruction	reconstruction	NOUN
brj-22082	2	4	of	of	ADP
brj-22082	2	5	tree	tree	NOUN
brj-22082	2	6	decay	decay	NOUN
brj-22082	2	7	,	,	PUNCT
brj-22082	2	8	”	"	PUNCT
brj-22082	2	9	bioresources	bioresource	NOUN
brj-22082	2	10	17(4	17(4	NUM
brj-22082	2	11	)	)	PUNCT
brj-22082	2	12	,	,	PUNCT
brj-22082	2	13	6277	6277	NUM
brj-22082	2	14	-	-	SYM
brj-22082	2	15	6292	6292	NUM
brj-22082	2	16	.	.	PUNCT
brj-22082	3	1	6277	6277	NUM
brj-22082	3	2	3d	3d	NUM
brj-22082	3	3	reconstruction	reconstruction	NOUN
brj-22082	3	4	of	of	ADP
brj-22082	3	5	the	the	DET
brj-22082	3	6	tree	tree	NOUN
brj-22082	3	7	internal	internal	ADJ
brj-22082	3	8	decay	decay	NOUN
brj-22082	3	9	based	base	VERB
brj-22082	3	10	on	on	ADP
brj-22082	3	11	radar	radar	NOUN
brj-22082	3	12	waves	wave	NOUN
brj-22082	3	13	meng	meng	PROPN
brj-22082	3	14	li	li	PROPN
brj-22082	3	15	,	,	PUNCT
brj-22082	3	16	a	a	DET
brj-22082	3	17	yong	yong	PROPN
brj-22082	3	18	xiang	xiang	PROPN
brj-22082	3	19	kang	kang	PROPN
brj-22082	3	20	,	,	PUNCT
brj-22082	3	21	a	a	PRON
brj-22082	3	22	,	,	PUNCT
brj-22082	3	23	*	*	PUNCT
brj-22082	3	24	van	van	PROPN
brj-22082	3	25	quy	quy	PROPN
brj-22082	3	26	nguyen	nguyen	PROPN
brj-22082	3	27	,	,	PUNCT
brj-22082	3	28	a	a	DET
brj-22082	3	29	,	,	PUNCT
brj-22082	3	30	b	b	PROPN
brj-22082	3	31	xu	xu	PROPN
brj-22082	3	32	zhen	zhen	PROPN
brj-22082	3	33	gao	gao	PROPN
brj-22082	3	34	,	,	PUNCT
brj-22082	3	35	c	c	PROPN
brj-22082	3	36	li	li	PROPN
brj-22082	3	37	li	li	PROPN
brj-22082	3	38	zhang	zhang	PROPN
brj-22082	3	39	,	,	PUNCT
brj-22082	3	40	a	a	DET
brj-22082	3	41	jin	jin	NOUN
brj-22082	3	42	ling	ling	PROPN
brj-22082	3	43	wang	wang	PROPN
brj-22082	3	44	,	,	PUNCT
brj-22082	3	45	a	a	PRON
brj-22082	3	46	,	,	PUNCT
brj-22082	3	47	d	d	PROPN
brj-22082	3	48	xiao	xiao	PROPN
brj-22082	3	49	qiang	qiang	PROPN
brj-22082	3	50	zhou	zhou	PROPN
brj-22082	3	51	,	,	PUNCT
brj-22082	3	52	a	a	PRON
brj-22082	3	53	and	and	CCONJ
brj-22082	3	54	gang	gang	NOUN
brj-22082	3	55	zhen	zhen	PROPN
brj-22082	3	56	ma	ma	PROPN
brj-22082	3	57	a	a	DET
brj-22082	3	58	tru	tru	PROPN
brj-22082	3	59	tree	tree	NOUN
brj-22082	3	60	radar	radar	NOUN
brj-22082	3	61	is	be	AUX
brj-22082	3	62	a	a	DET
brj-22082	3	63	new	new	ADJ
brj-22082	3	64	tool	tool	NOUN
brj-22082	3	65	for	for	ADP
brj-22082	3	66	the	the	DET
brj-22082	3	67	non	non	ADJ
brj-22082	3	68	-	-	ADJ
brj-22082	3	69	destructive	destructive	ADJ
brj-22082	3	70	testing	testing	NOUN
brj-22082	3	71	of	of	ADP
brj-22082	3	72	trees	tree	NOUN
brj-22082	3	73	.	.	PUNCT
brj-22082	4	1	in	in	ADP
brj-22082	4	2	this	this	DET
brj-22082	4	3	work	work	NOUN
brj-22082	4	4	,	,	PUNCT
brj-22082	4	5	two	two	NUM
brj-22082	4	6	-	-	PUNCT
brj-22082	4	7	dimensional	dimensional	ADJ
brj-22082	4	8	images	image	NOUN
brj-22082	4	9	of	of	ADP
brj-22082	4	10	the	the	DET
brj-22082	4	11	internal	internal	ADJ
brj-22082	4	12	defect	defect	NOUN
brj-22082	4	13	cross	cross	NOUN
brj-22082	4	14	-	-	NOUN
brj-22082	4	15	section	section	NOUN
brj-22082	4	16	of	of	ADP
brj-22082	4	17	a	a	DET
brj-22082	4	18	tree	tree	NOUN
brj-22082	4	19	were	be	AUX
brj-22082	4	20	reconstructed	reconstruct	VERB
brj-22082	4	21	to	to	PART
brj-22082	4	22	provide	provide	VERB
brj-22082	4	23	a	a	DET
brj-22082	4	24	theoretical	theoretical	ADJ
brj-22082	4	25	basis	basis	NOUN
brj-22082	4	26	for	for	ADP
brj-22082	4	27	accurately	accurately	ADV
brj-22082	4	28	judging	judge	VERB
brj-22082	4	29	the	the	DET
brj-22082	4	30	shape	shape	NOUN
brj-22082	4	31	and	and	CCONJ
brj-22082	4	32	position	position	NOUN
brj-22082	4	33	of	of	ADP
brj-22082	4	34	the	the	DET
brj-22082	4	35	internal	internal	ADJ
brj-22082	4	36	decay	decay	NOUN
brj-22082	4	37	,	,	PUNCT
brj-22082	4	38	rationally	rationally	ADV
brj-22082	4	39	using	use	VERB
brj-22082	4	40	wood	wood	NOUN
brj-22082	4	41	,	,	PUNCT
brj-22082	4	42	and	and	CCONJ
brj-22082	4	43	improving	improve	VERB
brj-22082	4	44	the	the	DET
brj-22082	4	45	utilization	utilization	NOUN
brj-22082	4	46	rate	rate	NOUN
brj-22082	4	47	of	of	ADP
brj-22082	4	48	wood	wood	NOUN
brj-22082	4	49	.	.	PUNCT
brj-22082	5	1	two	two	NUM
brj-22082	5	2	-	-	PUNCT
brj-22082	5	3	dimensional	dimensional	ADJ
brj-22082	5	4	images	image	NOUN
brj-22082	5	5	of	of	ADP
brj-22082	5	6	different	different	ADJ
brj-22082	5	7	height	height	NOUN
brj-22082	5	8	defect	defect	NOUN
brj-22082	5	9	sequences	sequence	NOUN
brj-22082	5	10	of	of	ADP
brj-22082	5	11	tree	tree	NOUN
brj-22082	5	12	trunk	trunk	NOUN
brj-22082	5	13	obtained	obtain	VERB
brj-22082	5	14	by	by	ADP
brj-22082	5	15	tru	tru	PROPN
brj-22082	5	16	tree	tree	NOUN
brj-22082	5	17	radar	radar	NOUN
brj-22082	5	18	were	be	AUX
brj-22082	5	19	preprocessed	preprocesse	VERB
brj-22082	5	20	and	and	CCONJ
brj-22082	5	21	interpolated	interpolate	VERB
brj-22082	5	22	.	.	PUNCT
brj-22082	6	1	finally	finally	ADV
brj-22082	6	2	,	,	PUNCT
brj-22082	6	3	the	the	DET
brj-22082	6	4	three	three	NUM
brj-22082	6	5	-	-	PUNCT
brj-22082	6	6	dimensional	dimensional	ADJ
brj-22082	6	7	reconstruction	reconstruction	NOUN
brj-22082	6	8	of	of	ADP
brj-22082	6	9	internal	internal	ADJ
brj-22082	6	10	defects	defect	NOUN
brj-22082	6	11	of	of	ADP
brj-22082	6	12	tree	tree	NOUN
brj-22082	6	13	trunk	trunk	NOUN
brj-22082	6	14	was	be	AUX
brj-22082	6	15	realized	realize	VERB
brj-22082	6	16	by	by	ADP
brj-22082	6	17	the	the	DET
brj-22082	6	18	surface	surface	NOUN
brj-22082	6	19	rendering	rendering	NOUN
brj-22082	6	20	method	method	NOUN
brj-22082	6	21	and	and	CCONJ
brj-22082	6	22	volume	volume	NOUN
brj-22082	6	23	rendering	rendering	NOUN
brj-22082	6	24	method	method	NOUN
brj-22082	6	25	under	under	ADP
brj-22082	6	26	the	the	DET
brj-22082	6	27	matlab	matlab	PROPN
brj-22082	6	28	environment	environment	NOUN
brj-22082	6	29	.	.	PUNCT
brj-22082	7	1	the	the	DET
brj-22082	7	2	surface	surface	NOUN
brj-22082	7	3	rendering	rendering	NOUN
brj-22082	7	4	displayed	display	VERB
brj-22082	7	5	the	the	DET
brj-22082	7	6	rough	rough	ADJ
brj-22082	7	7	3d	3d	NUM
brj-22082	7	8	model	model	NOUN
brj-22082	7	9	quickly	quickly	ADV
brj-22082	7	10	and	and	CCONJ
brj-22082	7	11	effectively	effectively	ADV
brj-22082	7	12	.	.	PUNCT
brj-22082	8	1	however	however	ADV
brj-22082	8	2	,	,	PUNCT
brj-22082	8	3	the	the	DET
brj-22082	8	4	important	important	ADJ
brj-22082	8	5	internal	internal	ADJ
brj-22082	8	6	information	information	NOUN
brj-22082	8	7	was	be	AUX
brj-22082	8	8	incomplete	incomplete	ADJ
brj-22082	8	9	,	,	PUNCT
brj-22082	8	10	and	and	CCONJ
brj-22082	8	11	the	the	DET
brj-22082	8	12	reconstructed	reconstructed	ADJ
brj-22082	8	13	model	model	NOUN
brj-22082	8	14	was	be	AUX
brj-22082	8	15	not	not	PART
brj-22082	8	16	intuitive	intuitive	ADJ
brj-22082	8	17	.	.	PUNCT
brj-22082	9	1	volume	volume	NOUN
brj-22082	9	2	rendering	rendering	NOUN
brj-22082	9	3	was	be	AUX
brj-22082	9	4	used	use	VERB
brj-22082	9	5	to	to	PART
brj-22082	9	6	process	process	VERB
brj-22082	9	7	each	each	DET
brj-22082	9	8	voxel	voxel	PROPN
brj-22082	9	9	in	in	ADP
brj-22082	9	10	the	the	DET
brj-22082	9	11	data	datum	NOUN
brj-22082	9	12	set	set	VERB
brj-22082	9	13	,	,	PUNCT
brj-22082	9	14	so	so	SCONJ
brj-22082	9	15	as	as	SCONJ
brj-22082	9	16	to	to	PART
brj-22082	9	17	describe	describe	VERB
brj-22082	9	18	the	the	DET
brj-22082	9	19	physical	physical	ADJ
brj-22082	9	20	reality	reality	NOUN
brj-22082	9	21	of	of	ADP
brj-22082	9	22	the	the	DET
brj-22082	9	23	internal	internal	ADJ
brj-22082	9	24	defects	defect	NOUN
brj-22082	9	25	of	of	ADP
brj-22082	9	26	the	the	DET
brj-22082	9	27	tree	tree	NOUN
brj-22082	9	28	relatively	relatively	ADV
brj-22082	9	29	accurately	accurately	ADV
brj-22082	9	30	.	.	PUNCT
brj-22082	10	1	an	an	DET
brj-22082	10	2	algorithm	algorithm	NOUN
brj-22082	10	3	was	be	AUX
brj-22082	10	4	proposed	propose	VERB
brj-22082	10	5	to	to	PART
brj-22082	10	6	improve	improve	VERB
brj-22082	10	7	the	the	DET
brj-22082	10	8	visualization	visualization	NOUN
brj-22082	10	9	level	level	NOUN
brj-22082	10	10	of	of	ADP
brj-22082	10	11	internal	internal	ADJ
brj-22082	10	12	defects	defect	NOUN
brj-22082	10	13	,	,	PUNCT
brj-22082	10	14	which	which	PRON
brj-22082	10	15	can	can	AUX
brj-22082	10	16	enhance	enhance	VERB
brj-22082	10	17	the	the	DET
brj-22082	10	18	understanding	understanding	NOUN
brj-22082	10	19	of	of	ADP
brj-22082	10	20	the	the	DET
brj-22082	10	21	three	three	NUM
brj-22082	10	22	-	-	PUNCT
brj-22082	10	23	dimensional	dimensional	ADJ
brj-22082	10	24	image	image	NOUN
brj-22082	10	25	.	.	PUNCT
brj-22082	11	1	doi	doi	NOUN
brj-22082	11	2	:	:	PUNCT
brj-22082	11	3	10.15376	10.15376	NUM
brj-22082	11	4	/	/	SYM
brj-22082	11	5	biores.17.4.6277	biores.17.4.6277	NOUN
brj-22082	11	6	-	-	PUNCT
brj-22082	11	7	6292	6292	NUM
brj-22082	11	8	keywords	keyword	NOUN
brj-22082	11	9	:	:	PUNCT
brj-22082	11	10	tree	tree	NOUN
brj-22082	11	11	decay	decay	NOUN
brj-22082	11	12	;	;	PUNCT
brj-22082	11	13	tru	tru	PROPN
brj-22082	11	14	tree	tree	PROPN
brj-22082	11	15	radar	radar	NOUN
brj-22082	11	16	;	;	PUNCT
brj-22082	11	17	surface	surface	NOUN
brj-22082	11	18	rendering	rendering	NOUN
brj-22082	11	19	;	;	PUNCT
brj-22082	11	20	volume	volume	NOUN
brj-22082	11	21	rendering	rendering	NOUN
brj-22082	11	22	;	;	PUNCT
brj-22082	11	23	3d	3d	NUM
brj-22082	11	24	reconstruction	reconstruction	NOUN
brj-22082	11	25	contact	contact	NOUN
brj-22082	11	26	information	information	NOUN
brj-22082	11	27	:	:	PUNCT
brj-22082	11	28	a	a	X
brj-22082	11	29	:	:	PUNCT
brj-22082	11	30	college	college	NOUN
brj-22082	11	31	of	of	ADP
brj-22082	11	32	forestry	forestry	NOUN
brj-22082	11	33	,	,	PUNCT
brj-22082	11	34	northwest	northwest	PROPN
brj-22082	11	35	a&f	a&f	PROPN
brj-22082	11	36	university	university	NOUN
brj-22082	11	37	,	,	PUNCT
brj-22082	11	38	yangling	yangling	NOUN
brj-22082	11	39	,	,	PUNCT
brj-22082	11	40	shaanxi	shaanxi	PROPN
brj-22082	11	41	712100	712100	NUM
brj-22082	11	42	,	,	PUNCT
brj-22082	11	43	china	china	PROPN
brj-22082	11	44	;	;	PUNCT
brj-22082	11	45	b	b	X
brj-22082	11	46	:	:	PUNCT
brj-22082	11	47	vietnam	vietnam	PROPN
brj-22082	11	48	national	national	PROPN
brj-22082	11	49	university	university	PROPN
brj-22082	11	50	of	of	ADP
brj-22082	11	51	forestry	forestry	NOUN
brj-22082	11	52	–	–	PUNCT
brj-22082	11	53	southern	southern	ADJ
brj-22082	11	54	campus	campus	NOUN
brj-22082	11	55	,	,	PUNCT
brj-22082	11	56	trang	trang	PROPN
brj-22082	11	57	bom	bom	PROPN
brj-22082	11	58	,	,	PUNCT
brj-22082	11	59	dong	dong	PROPN
brj-22082	11	60	nai	nai	PROPN
brj-22082	11	61	810000	810000	NUM
brj-22082	11	62	,	,	PUNCT
brj-22082	11	63	vietnam	vietnam	PROPN
brj-22082	11	64	;	;	PUNCT
brj-22082	11	65	c	c	X
brj-22082	11	66	:	:	PUNCT
brj-22082	11	67	taiyuan	taiyuan	PROPN
brj-22082	11	68	institute	institute	PROPN
brj-22082	11	69	of	of	ADP
brj-22082	11	70	cultural	cultural	ADJ
brj-22082	11	71	relics	relic	NOUN
brj-22082	11	72	protection	protection	PROPN
brj-22082	11	73	,	,	PUNCT
brj-22082	11	74	taiyuan	taiyuan	PROPN
brj-22082	11	75	,	,	PUNCT
brj-22082	11	76	shanxi	shanxi	PROPN
brj-22082	11	77	030025	030025	NUM
brj-22082	11	78	,	,	PUNCT
brj-22082	11	79	china	china	PROPN
brj-22082	11	80	;	;	PUNCT
brj-22082	11	81	d	d	X
brj-22082	11	82	:	:	PUNCT
brj-22082	11	83	college	college	NOUN
brj-22082	11	84	of	of	ADP
brj-22082	11	85	forestry	forestry	PROPN
brj-22082	11	86	,	,	PUNCT
brj-22082	11	87	beihua	beihua	PROPN
brj-22082	11	88	university	university	PROPN
brj-22082	11	89	,	,	PUNCT
brj-22082	11	90	jilin	jilin	PROPN
brj-22082	11	91	,	,	PUNCT
brj-22082	11	92	jilin	jilin	PROPN
brj-22082	11	93	132013	132013	NUM
brj-22082	11	94	,	,	PUNCT
brj-22082	11	95	china	china	PROPN
brj-22082	11	96	;	;	PUNCT
brj-22082	11	97	*	*	PUNCT
brj-22082	11	98	corresponding	correspond	VERB
brj-22082	11	99	author	author	NOUN
brj-22082	11	100	:	:	PUNCT
brj-22082	11	101	yxkang@nwsuaf.edu.cn	yxkang@nwsuaf.edu.cn	NOUN
brj-22082	11	102	introduction	introduction	NOUN
brj-22082	11	103	the	the	DET
brj-22082	11	104	internal	internal	ADJ
brj-22082	11	105	decay	decay	NOUN
brj-22082	11	106	of	of	ADP
brj-22082	11	107	trees	tree	NOUN
brj-22082	11	108	is	be	AUX
brj-22082	11	109	a	a	DET
brj-22082	11	110	common	common	ADJ
brj-22082	11	111	natural	natural	ADJ
brj-22082	11	112	phenomenon	phenomenon	NOUN
brj-22082	11	113	.	.	PUNCT
brj-22082	12	1	trees	tree	NOUN
brj-22082	12	2	are	be	AUX
brj-22082	12	3	affected	affect	VERB
brj-22082	12	4	by	by	ADP
brj-22082	12	5	adverse	adverse	ADJ
brj-22082	12	6	environmental	environmental	ADJ
brj-22082	12	7	factors	factor	NOUN
brj-22082	12	8	or	or	CCONJ
brj-22082	12	9	attacked	attack	VERB
brj-22082	12	10	by	by	ADP
brj-22082	12	11	various	various	ADJ
brj-22082	12	12	diseases	disease	NOUN
brj-22082	12	13	and	and	CCONJ
brj-22082	12	14	insect	insect	VERB
brj-22082	12	15	pests	pest	NOUN
brj-22082	12	16	in	in	ADP
brj-22082	12	17	the	the	DET
brj-22082	12	18	natural	natural	ADJ
brj-22082	12	19	environment	environment	NOUN
brj-22082	12	20	;	;	PUNCT
brj-22082	12	21	also	also	ADV
brj-22082	12	22	,	,	PUNCT
brj-22082	12	23	there	there	PRON
brj-22082	12	24	are	be	VERB
brj-22082	12	25	physiological	physiological	ADJ
brj-22082	12	26	reasons	reason	NOUN
brj-22082	12	27	for	for	ADP
brj-22082	12	28	decay	decay	NOUN
brj-22082	12	29	(	(	PUNCT
brj-22082	12	30	li	li	PROPN
brj-22082	12	31	et	et	PROPN
brj-22082	12	32	al	al	PROPN
brj-22082	12	33	.	.	PROPN
brj-22082	12	34	2017	2017	NUM
brj-22082	12	35	;	;	PUNCT
brj-22082	12	36	xiao	xiao	PROPN
brj-22082	12	37	et	et	PROPN
brj-22082	12	38	al	al	PROPN
brj-22082	12	39	.	.	PROPN
brj-22082	12	40	2018	2018	NUM
brj-22082	12	41	)	)	PUNCT
brj-22082	12	42	.	.	PUNCT
brj-22082	13	1	this	this	DET
brj-22082	13	2	early	early	ADJ
brj-22082	13	3	stage	stage	NOUN
brj-22082	13	4	of	of	ADP
brj-22082	13	5	the	the	DET
brj-22082	13	6	process	process	NOUN
brj-22082	13	7	usually	usually	ADV
brj-22082	13	8	starts	start	VERB
brj-22082	13	9	from	from	ADP
brj-22082	13	10	the	the	DET
brj-22082	13	11	inside	inside	NOUN
brj-22082	13	12	.	.	PUNCT
brj-22082	14	1	although	although	SCONJ
brj-22082	14	2	some	some	DET
brj-22082	14	3	trees	tree	NOUN
brj-22082	14	4	still	still	ADV
brj-22082	14	5	grow	grow	VERB
brj-22082	14	6	typically	typically	ADV
brj-22082	14	7	,	,	PUNCT
brj-22082	14	8	their	their	PRON
brj-22082	14	9	xylem	xylem	NOUN
brj-22082	14	10	may	may	AUX
brj-22082	14	11	have	have	AUX
brj-22082	14	12	become	become	VERB
brj-22082	14	13	hollow	hollow	ADJ
brj-22082	14	14	or	or	CCONJ
brj-22082	14	15	decayed	decayed	ADJ
brj-22082	14	16	(	(	PUNCT
brj-22082	14	17	kang	kang	PROPN
brj-22082	14	18	2019	2019	NUM
brj-22082	14	19	)	)	PUNCT
brj-22082	14	20	.	.	PUNCT
brj-22082	15	1	interior	interior	ADJ
brj-22082	15	2	defects	defect	NOUN
brj-22082	15	3	reduce	reduce	VERB
brj-22082	15	4	the	the	DET
brj-22082	15	5	quality	quality	NOUN
brj-22082	15	6	of	of	ADP
brj-22082	15	7	wood	wood	NOUN
brj-22082	15	8	,	,	PUNCT
brj-22082	15	9	resulting	result	VERB
brj-22082	15	10	in	in	ADP
brj-22082	15	11	loss	loss	NOUN
brj-22082	15	12	and	and	CCONJ
brj-22082	15	13	waste	waste	NOUN
brj-22082	15	14	of	of	ADP
brj-22082	15	15	forest	forest	NOUN
brj-22082	15	16	resources	resource	NOUN
brj-22082	15	17	.	.	PUNCT
brj-22082	16	1	there	there	PRON
brj-22082	16	2	are	be	VERB
brj-22082	16	3	many	many	ADJ
brj-22082	16	4	methods	method	NOUN
brj-22082	16	5	for	for	ADP
brj-22082	16	6	non	non	ADJ
brj-22082	16	7	-	-	ADJ
brj-22082	16	8	destructive	destructive	ADJ
brj-22082	16	9	testing	testing	NOUN
brj-22082	16	10	of	of	ADP
brj-22082	16	11	wood	wood	NOUN
brj-22082	16	12	,	,	PUNCT
brj-22082	16	13	including	include	VERB
brj-22082	16	14	the	the	DET
brj-22082	16	15	computed	computed	ADJ
brj-22082	16	16	tomography	tomography	NOUN
brj-22082	16	17	(	(	PUNCT
brj-22082	16	18	ct	ct	NOUN
brj-22082	16	19	)	)	PUNCT
brj-22082	16	20	scanning	scanning	NOUN
brj-22082	16	21	method	method	NOUN
brj-22082	16	22	,	,	PUNCT
brj-22082	16	23	infrared	infrared	ADJ
brj-22082	16	24	method	method	NOUN
brj-22082	16	25	,	,	PUNCT
brj-22082	16	26	ultrasonic	ultrasonic	ADJ
brj-22082	16	27	method	method	NOUN
brj-22082	16	28	,	,	PUNCT
brj-22082	16	29	mechanical	mechanical	ADJ
brj-22082	16	30	stress	stress	NOUN
brj-22082	16	31	wave	wave	NOUN
brj-22082	16	32	,	,	PUNCT
brj-22082	16	33	shock	shock	NOUN
brj-22082	16	34	stress	stress	NOUN
brj-22082	16	35	wave	wave	NOUN
brj-22082	16	36	,	,	PUNCT
brj-22082	16	37	vibration	vibration	NOUN
brj-22082	16	38	method	method	NOUN
brj-22082	16	39	,	,	PUNCT
brj-22082	16	40	radar	radar	NOUN
brj-22082	16	41	wave	wave	NOUN
brj-22082	16	42	method	method	NOUN
brj-22082	16	43	,	,	PUNCT
brj-22082	16	44	and	and	CCONJ
brj-22082	16	45	impedance	impedance	NOUN
brj-22082	16	46	method	method	NOUN
brj-22082	16	47	(	(	PUNCT
brj-22082	16	48	schad	schad	VERB
brj-22082	16	49	et	et	PROPN
brj-22082	16	50	al	al	PROPN
brj-22082	16	51	.	.	PROPN
brj-22082	16	52	1996	1996	NUM
brj-22082	16	53	;	;	PUNCT
brj-22082	16	54	nicolotti	nicolotti	VERB
brj-22082	16	55	et	et	PROPN
brj-22082	16	56	al	al	PROPN
brj-22082	16	57	.	.	PROPN
brj-22082	16	58	2003	2003	NUM
brj-22082	16	59	;	;	PUNCT
brj-22082	16	60	deflorio	deflorio	PROPN
brj-22082	16	61	et	et	PROPN
brj-22082	16	62	al	al	PROPN
brj-22082	16	63	.	.	PROPN
brj-22082	16	64	2008	2008	NUM
brj-22082	16	65	;	;	PUNCT
brj-22082	16	66	arciniegas	arciniegas	NOUN
brj-22082	16	67	et	et	PROPN
brj-22082	16	68	al	al	PROPN
brj-22082	16	69	.	.	PROPN
brj-22082	16	70	2014	2014	NUM
brj-22082	16	71	;	;	PUNCT
brj-22082	16	72	allison	allison	PROPN
brj-22082	16	73	and	and	CCONJ
brj-22082	16	74	wang	wang	PROPN
brj-22082	16	75	2015	2015	NUM
brj-22082	16	76	;	;	PUNCT
brj-22082	16	77	wu	wu	PROPN
brj-22082	16	78	et	et	PROPN
brj-22082	16	79	al	al	PROPN
brj-22082	16	80	.	.	PROPN
brj-22082	16	81	2018	2018	NUM
brj-22082	16	82	)	)	PUNCT
brj-22082	16	83	.	.	PUNCT
brj-22082	17	1	tru	tru	PROPN
brj-22082	17	2	tree	tree	NOUN
brj-22082	17	3	radar	radar	NOUN
brj-22082	17	4	is	be	AUX
brj-22082	17	5	a	a	DET
brj-22082	17	6	new	new	ADJ
brj-22082	17	7	non	non	ADJ
brj-22082	17	8	-	-	ADJ
brj-22082	17	9	destructive	destructive	ADJ
brj-22082	17	10	testing	testing	NOUN
brj-22082	17	11	tool	tool	NOUN
brj-22082	17	12	with	with	ADP
brj-22082	17	13	many	many	ADJ
brj-22082	17	14	advantages	advantage	NOUN
brj-22082	17	15	such	such	ADJ
brj-22082	17	16	as	as	ADP
brj-22082	17	17	no	no	DET
brj-22082	17	18	damage	damage	NOUN
brj-22082	17	19	,	,	PUNCT
brj-22082	17	20	high	high	ADJ
brj-22082	17	21	safety	safety	NOUN
brj-22082	17	22	,	,	PUNCT
brj-22082	17	23	convenient	convenient	ADJ
brj-22082	17	24	operation	operation	NOUN
brj-22082	17	25	,	,	PUNCT
brj-22082	17	26	and	and	CCONJ
brj-22082	17	27	simple	simple	ADJ
brj-22082	17	28	analysis	analysis	NOUN
brj-22082	17	29	.	.	PUNCT
brj-22082	18	1	liu	liu	PROPN
brj-22082	18	2	(	(	PUNCT
brj-22082	18	3	2017	2017	NUM
brj-22082	18	4	)	)	PUNCT
brj-22082	18	5	used	use	VERB
brj-22082	18	6	tree	tree	NOUN
brj-22082	18	7	radar	radar	NOUN
brj-22082	18	8	to	to	PART
brj-22082	18	9	investigate	investigate	VERB
brj-22082	18	10	the	the	DET
brj-22082	18	11	internal	internal	ADJ
brj-22082	18	12	defects	defect	NOUN
brj-22082	18	13	of	of	ADP
brj-22082	18	14	platycladus	platycladus	ADJ
brj-22082	18	15	orientalis	orientali	NOUN
brj-22082	18	16	in	in	ADP
brj-22082	18	17	the	the	DET
brj-22082	18	18	huangdi	huangdi	NOUN
brj-22082	18	19	mausoleum	mausoleum	NOUN
brj-22082	18	20	and	and	CCONJ
brj-22082	18	21	studied	study	VERB
brj-22082	18	22	the	the	DET
brj-22082	18	23	law	law	NOUN
brj-22082	18	24	of	of	ADP
brj-22082	18	25	defects	defect	NOUN
brj-22082	18	26	.	.	PUNCT
brj-22082	19	1	li	li	PROPN
brj-22082	19	2	et	et	PROPN
brj-22082	19	3	al	al	PROPN
brj-22082	19	4	.	.	PROPN
brj-22082	20	1	(	(	PUNCT
brj-22082	20	2	2018	2018	NUM
brj-22082	20	3	)	)	PUNCT
brj-22082	20	4	peer	peer	NOUN
brj-22082	20	5	-	-	PUNCT
brj-22082	20	6	reviewed	review	VERB
brj-22082	20	7	article	article	NOUN
brj-22082	20	8	bioresources.com	bioresources.com	X
brj-22082	20	9	li	li	PROPN
brj-22082	20	10	et	et	PROPN
brj-22082	20	11	al	al	PROPN
brj-22082	20	12	.	.	PROPN
brj-22082	20	13	(	(	PUNCT
brj-22082	20	14	2022	2022	NUM
brj-22082	20	15	)	)	PUNCT
brj-22082	20	16	.	.	PUNCT
brj-22082	21	1	“	"	PUNCT
brj-22082	21	2	3d	3d	NUM
brj-22082	21	3	reconstruction	reconstruction	NOUN
brj-22082	21	4	of	of	ADP
brj-22082	21	5	tree	tree	NOUN
brj-22082	21	6	decay	decay	NOUN
brj-22082	21	7	,	,	PUNCT
brj-22082	21	8	”	"	PUNCT
brj-22082	21	9	bioresources	bioresource	NOUN
brj-22082	21	10	17(4	17(4	NUM
brj-22082	21	11	)	)	PUNCT
brj-22082	21	12	,	,	PUNCT
brj-22082	21	13	6277	6277	NUM
brj-22082	21	14	-	-	SYM
brj-22082	21	15	6292	6292	NUM
brj-22082	21	16	.	.	PUNCT
brj-22082	22	1	6278	6278	NUM
brj-22082	22	2	estimated	estimate	VERB
brj-22082	22	3	the	the	DET
brj-22082	22	4	relative	relative	ADJ
brj-22082	22	5	dielectric	dielectric	ADJ
brj-22082	22	6	constant	constant	ADJ
brj-22082	22	7	using	use	VERB
brj-22082	22	8	hilbert	hilbert	NOUN
brj-22082	22	9	transform	transform	NOUN
brj-22082	22	10	algorithm	algorithm	NOUN
brj-22082	22	11	and	and	CCONJ
brj-22082	22	12	reflection	reflection	NOUN
brj-22082	22	13	amplitude	amplitude	NOUN
brj-22082	22	14	based	base	VERB
brj-22082	22	15	on	on	ADP
brj-22082	22	16	radar	radar	NOUN
brj-22082	22	17	wave	wave	NOUN
brj-22082	22	18	detection	detection	NOUN
brj-22082	22	19	;	;	PUNCT
brj-22082	22	20	they	they	PRON
brj-22082	22	21	extracted	extract	VERB
brj-22082	22	22	the	the	DET
brj-22082	22	23	trunk	trunk	NOUN
brj-22082	22	24	profile	profile	NOUN
brj-22082	22	25	data	datum	NOUN
brj-22082	22	26	by	by	ADP
brj-22082	22	27	point	point	NOUN
brj-22082	22	28	cloud	cloud	NOUN
brj-22082	22	29	data	datum	NOUN
brj-22082	22	30	technology	technology	NOUN
brj-22082	22	31	,	,	PUNCT
brj-22082	22	32	which	which	PRON
brj-22082	22	33	significantly	significantly	ADV
brj-22082	22	34	improved	improve	VERB
brj-22082	22	35	the	the	DET
brj-22082	22	36	accuracy	accuracy	NOUN
brj-22082	22	37	of	of	ADP
brj-22082	22	38	radar	radar	NOUN
brj-22082	22	39	wave	wave	NOUN
brj-22082	22	40	detection	detection	NOUN
brj-22082	22	41	.	.	PUNCT
brj-22082	23	1	chen	chen	PROPN
brj-22082	23	2	et	et	PROPN
brj-22082	23	3	al	al	PROPN
brj-22082	23	4	.	.	PROPN
brj-22082	24	1	(	(	PUNCT
brj-22082	24	2	2017	2017	NUM
brj-22082	24	3	)	)	PUNCT
brj-22082	24	4	used	use	VERB
brj-22082	24	5	radar	radar	NOUN
brj-22082	24	6	waves	wave	NOUN
brj-22082	24	7	to	to	PART
brj-22082	24	8	detect	detect	VERB
brj-22082	24	9	and	and	CCONJ
brj-22082	24	10	quantitatively	quantitatively	ADV
brj-22082	24	11	evaluate	evaluate	VERB
brj-22082	24	12	the	the	DET
brj-22082	24	13	internal	internal	ADJ
brj-22082	24	14	cavity	cavity	NOUN
brj-22082	24	15	of	of	ADP
brj-22082	24	16	pinus	pinus	PROPN
brj-22082	24	17	massoniana	massoniana	PROPN
brj-22082	24	18	.	.	PUNCT
brj-22082	25	1	alani	alani	PROPN
brj-22082	25	2	et	et	PROPN
brj-22082	25	3	al	al	PROPN
brj-22082	25	4	.	.	PROPN
brj-22082	26	1	(	(	PUNCT
brj-22082	26	2	2020	2020	NUM
brj-22082	26	3	)	)	PUNCT
brj-22082	26	4	used	use	VERB
brj-22082	26	5	radar	radar	NOUN
brj-22082	26	6	waves	wave	NOUN
brj-22082	26	7	to	to	PART
brj-22082	26	8	evaluate	evaluate	VERB
brj-22082	26	9	the	the	DET
brj-22082	26	10	internal	internal	ADJ
brj-22082	26	11	structure	structure	NOUN
brj-22082	26	12	of	of	ADP
brj-22082	26	13	the	the	DET
brj-22082	26	14	trunk	trunk	NOUN
brj-22082	26	15	and	and	CCONJ
brj-22082	26	16	proposed	propose	VERB
brj-22082	26	17	a	a	DET
brj-22082	26	18	new	new	ADJ
brj-22082	26	19	method	method	NOUN
brj-22082	26	20	for	for	ADP
brj-22082	26	21	locating	locate	VERB
brj-22082	26	22	internal	internal	ADJ
brj-22082	26	23	defects	defect	NOUN
brj-22082	26	24	.	.	PUNCT
brj-22082	27	1	three	three	NUM
brj-22082	27	2	-	-	PUNCT
brj-22082	27	3	dimensional	dimensional	ADJ
brj-22082	27	4	reconstruction	reconstruction	NOUN
brj-22082	27	5	technology	technology	NOUN
brj-22082	27	6	can	can	AUX
brj-22082	27	7	help	help	VERB
brj-22082	27	8	to	to	PART
brj-22082	27	9	obtain	obtain	VERB
brj-22082	27	10	three	three	NUM
brj-22082	27	11	-	-	PUNCT
brj-22082	27	12	dimensional	dimensional	ADJ
brj-22082	27	13	structure	structure	NOUN
brj-22082	27	14	information	information	NOUN
brj-22082	27	15	from	from	ADP
brj-22082	27	16	the	the	DET
brj-22082	27	17	two	two	NUM
brj-22082	27	18	-	-	PUNCT
brj-22082	27	19	dimensional	dimensional	ADJ
brj-22082	27	20	sequence	sequence	NOUN
brj-22082	27	21	images	image	NOUN
brj-22082	27	22	of	of	ADP
brj-22082	27	23	trunk	trunk	NOUN
brj-22082	27	24	defects	defect	NOUN
brj-22082	27	25	and	and	CCONJ
brj-22082	27	26	presents	present	VERB
brj-22082	27	27	a	a	DET
brj-22082	27	28	realistic	realistic	ADJ
brj-22082	27	29	three	three	NUM
brj-22082	27	30	-	-	PUNCT
brj-22082	27	31	dimensional	dimensional	ADJ
brj-22082	27	32	graph	graph	NOUN
brj-22082	27	33	(	(	PUNCT
brj-22082	27	34	dong	dong	NOUN
brj-22082	27	35	and	and	CCONJ
brj-22082	27	36	ke	ke	NOUN
brj-22082	27	37	2019	2019	NUM
brj-22082	27	38	)	)	PUNCT
brj-22082	27	39	.	.	PUNCT
brj-22082	28	1	observing	observe	VERB
brj-22082	28	2	and	and	CCONJ
brj-22082	28	3	analyzing	analyze	VERB
brj-22082	28	4	the	the	DET
brj-22082	28	5	trunk	trunk	NOUN
brj-22082	28	6	's	's	PART
brj-22082	28	7	internal	internal	ADJ
brj-22082	28	8	defects	defect	NOUN
brj-22082	28	9	from	from	ADP
brj-22082	28	10	multi	multi	ADJ
brj-22082	28	11	-	-	ADJ
brj-22082	28	12	angles	angle	NOUN
brj-22082	28	13	and	and	CCONJ
brj-22082	28	14	levels	level	NOUN
brj-22082	28	15	is	be	AUX
brj-22082	28	16	convenient	convenient	ADJ
brj-22082	28	17	,	,	PUNCT
brj-22082	28	18	which	which	PRON
brj-22082	28	19	improves	improve	VERB
brj-22082	28	20	the	the	DET
brj-22082	28	21	accuracy	accuracy	NOUN
brj-22082	28	22	and	and	CCONJ
brj-22082	28	23	scientific	scientific	ADJ
brj-22082	28	24	validity	validity	NOUN
brj-22082	28	25	of	of	ADP
brj-22082	28	26	the	the	DET
brj-22082	28	27	study	study	NOUN
brj-22082	28	28	and	and	CCONJ
brj-22082	28	29	its	its	PRON
brj-22082	28	30	practical	practical	ADJ
brj-22082	28	31	application	application	NOUN
brj-22082	28	32	.	.	PUNCT
brj-22082	29	1	bhandarkar	bhandarkar	NOUN
brj-22082	29	2	et	et	PROPN
brj-22082	29	3	al	al	PROPN
brj-22082	29	4	.	.	PUNCT
brj-22082	29	5	(	(	PUNCT
brj-22082	29	6	1999	1999	NUM
brj-22082	29	7	,	,	PUNCT
brj-22082	29	8	2006	2006	NUM
brj-22082	29	9	)	)	PUNCT
brj-22082	29	10	proposed	propose	VERB
brj-22082	29	11	a	a	DET
brj-22082	29	12	catalog	catalog	NOUN
brj-22082	29	13	system	system	NOUN
brj-22082	29	14	that	that	PRON
brj-22082	29	15	detects	detect	NOUN
brj-22082	29	16	and	and	CCONJ
brj-22082	29	17	classifies	classify	VERB
brj-22082	29	18	critical	critical	ADJ
brj-22082	29	19	defects	defect	NOUN
brj-22082	29	20	in	in	ADP
brj-22082	29	21	logs	log	NOUN
brj-22082	29	22	and	and	CCONJ
brj-22082	29	23	reconstructs	reconstruct	VERB
brj-22082	29	24	them	they	PRON
brj-22082	29	25	by	by	ADP
brj-22082	29	26	analyzing	analyze	VERB
brj-22082	29	27	ct	ct	PRON
brj-22082	29	28	or	or	CCONJ
brj-22082	29	29	computerized	computerized	ADJ
brj-22082	29	30	axial	axial	ADJ
brj-22082	29	31	tomography	tomography	NOUN
brj-22082	29	32	(	(	PUNCT
brj-22082	29	33	cat	cat	NOUN
brj-22082	29	34	)	)	PUNCT
brj-22082	29	35	images	image	NOUN
brj-22082	29	36	.	.	PUNCT
brj-22082	30	1	after	after	ADP
brj-22082	30	2	that	that	PRON
brj-22082	30	3	,	,	PUNCT
brj-22082	30	4	a	a	DET
brj-22082	30	5	new	new	ADJ
brj-22082	30	6	feature	feature	NOUN
brj-22082	30	7	-	-	PUNCT
brj-22082	30	8	based	base	VERB
brj-22082	30	9	tracking	tracking	NOUN
brj-22082	30	10	method	method	NOUN
brj-22082	30	11	was	be	AUX
brj-22082	30	12	proposed	propose	VERB
brj-22082	30	13	for	for	ADP
brj-22082	30	14	ct	ct	NUM
brj-22082	30	15	images	image	NOUN
brj-22082	30	16	to	to	PART
brj-22082	30	17	detect	detect	VERB
brj-22082	30	18	,	,	PUNCT
brj-22082	30	19	locate	locate	VERB
brj-22082	30	20	and	and	CCONJ
brj-22082	30	21	reconstruct	reconstruct	VERB
brj-22082	30	22	internal	internal	ADJ
brj-22082	30	23	defects	defect	NOUN
brj-22082	30	24	in	in	ADP
brj-22082	30	25	logs	log	NOUN
brj-22082	30	26	.	.	PUNCT
brj-22082	31	1	zhang	zhang	PROPN
brj-22082	31	2	and	and	CCONJ
brj-22082	31	3	sun	sun	PROPN
brj-22082	31	4	(	(	PUNCT
brj-22082	31	5	2008	2008	NUM
brj-22082	31	6	)	)	PUNCT
brj-22082	31	7	used	use	VERB
brj-22082	31	8	ct	ct	PROPN
brj-22082	31	9	scanned	scan	VERB
brj-22082	31	10	tree	tree	NOUN
brj-22082	31	11	sectional	sectional	ADJ
brj-22082	31	12	images	image	NOUN
brj-22082	31	13	to	to	PART
brj-22082	31	14	perform	perform	VERB
brj-22082	31	15	3d	3d	NUM
brj-22082	31	16	reconstruction	reconstruction	NOUN
brj-22082	31	17	of	of	ADP
brj-22082	31	18	the	the	DET
brj-22082	31	19	tree	tree	NOUN
brj-22082	31	20	internal	internal	ADJ
brj-22082	31	21	decay	decay	NOUN
brj-22082	31	22	structure	structure	NOUN
brj-22082	31	23	through	through	ADP
brj-22082	31	24	the	the	DET
brj-22082	31	25	matlab	matlab	PROPN
brj-22082	31	26	toolbox	toolbox	NOUN
brj-22082	31	27	.	.	PUNCT
brj-22082	32	1	zhang	zhang	PROPN
brj-22082	32	2	et	et	PROPN
brj-22082	32	3	al	al	PROPN
brj-22082	32	4	.	.	PROPN
brj-22082	32	5	(	(	PUNCT
brj-22082	32	6	2010	2010	NUM
brj-22082	32	7	)	)	PUNCT
brj-22082	32	8	realized	realize	VERB
brj-22082	32	9	the	the	DET
brj-22082	32	10	3d	3d	PROPN
brj-22082	32	11	reconstruction	reconstruction	NOUN
brj-22082	32	12	of	of	ADP
brj-22082	32	13	log	log	NOUN
brj-22082	32	14	defect	defect	NOUN
brj-22082	32	15	ct	ct	NUM
brj-22082	32	16	image	image	NOUN
brj-22082	32	17	and	and	CCONJ
brj-22082	32	18	implemented	implement	VERB
brj-22082	32	19	virtual	virtual	ADJ
brj-22082	32	20	processing	processing	NOUN
brj-22082	32	21	.	.	PUNCT
brj-22082	33	1	researchers	researcher	NOUN
brj-22082	33	2	tried	try	VERB
brj-22082	33	3	a	a	DET
brj-22082	33	4	more	more	ADV
brj-22082	33	5	efficient	efficient	ADJ
brj-22082	33	6	non	non	ADJ
brj-22082	33	7	-	-	ADJ
brj-22082	33	8	contact	contact	ADJ
brj-22082	33	9	remote	remote	NOUN
brj-22082	33	10	and	and	CCONJ
brj-22082	33	11	near	near	ADJ
brj-22082	33	12	-	-	PUNCT
brj-22082	33	13	end	end	NOUN
brj-22082	33	14	sensing	sense	VERB
brj-22082	33	15	method	method	NOUN
brj-22082	33	16	to	to	PART
brj-22082	33	17	reconstruct	reconstruct	VERB
brj-22082	33	18	tree	tree	NOUN
brj-22082	33	19	trunks	trunk	NOUN
brj-22082	33	20	and	and	CCONJ
brj-22082	33	21	their	their	PRON
brj-22082	33	22	internal	internal	ADJ
brj-22082	33	23	defects	defect	NOUN
brj-22082	33	24	in	in	ADP
brj-22082	33	25	recent	recent	ADJ
brj-22082	33	26	years	year	NOUN
brj-22082	33	27	.	.	PUNCT
brj-22082	34	1	for	for	ADP
brj-22082	34	2	example	example	NOUN
brj-22082	34	3	,	,	PUNCT
brj-22082	34	4	berveglieri	berveglieri	PROPN
brj-22082	34	5	et	et	PROPN
brj-22082	34	6	al	al	PROPN
brj-22082	34	7	.	.	PROPN
brj-22082	35	1	(	(	PUNCT
brj-22082	35	2	2017	2017	NUM
brj-22082	35	3	)	)	PUNCT
brj-22082	35	4	used	use	VERB
brj-22082	35	5	vertical	vertical	ADJ
brj-22082	35	6	optical	optical	ADJ
brj-22082	35	7	scanning	scanning	NOUN
brj-22082	35	8	and	and	CCONJ
brj-22082	35	9	panoramic	panoramic	ADJ
brj-22082	35	10	vision	vision	NOUN
brj-22082	35	11	to	to	PART
brj-22082	35	12	reconstruct	reconstruct	VERB
brj-22082	35	13	the	the	DET
brj-22082	35	14	tree	tree	NOUN
brj-22082	35	15	trunk	trunk	NOUN
brj-22082	35	16	.	.	PUNCT
brj-22082	36	1	putman	putman	PROPN
brj-22082	36	2	et	et	PROPN
brj-22082	36	3	al	al	PROPN
brj-22082	36	4	.	.	PROPN
brj-22082	37	1	(	(	PUNCT
brj-22082	37	2	2018	2018	NUM
brj-22082	37	3	)	)	PUNCT
brj-22082	37	4	used	use	VERB
brj-22082	37	5	voxelized	voxelize	VERB
brj-22082	37	6	terrestrial	terrestrial	ADJ
brj-22082	37	7	lidar	lidar	NOUN
brj-22082	37	8	data	datum	NOUN
brj-22082	37	9	to	to	PART
brj-22082	37	10	reconstruct	reconstruct	VERB
brj-22082	37	11	the	the	DET
brj-22082	37	12	tree	tree	NOUN
brj-22082	37	13	model	model	NOUN
brj-22082	37	14	to	to	PART
brj-22082	37	15	detect	detect	VERB
brj-22082	37	16	and	and	CCONJ
brj-22082	37	17	quantify	quantify	VERB
brj-22082	37	18	the	the	DET
brj-22082	37	19	structural	structural	ADJ
brj-22082	37	20	loss	loss	NOUN
brj-22082	37	21	of	of	ADP
brj-22082	37	22	standing	stand	VERB
brj-22082	37	23	dead	dead	ADJ
brj-22082	37	24	trees	tree	NOUN
brj-22082	37	25	.	.	PUNCT
brj-22082	38	1	zhang	zhang	PROPN
brj-22082	38	2	and	and	CCONJ
brj-22082	38	3	khoshelham	khoshelham	PROPN
brj-22082	38	4	(	(	PUNCT
brj-22082	38	5	2020	2020	NUM
brj-22082	38	6	)	)	PUNCT
brj-22082	38	7	proposed	propose	VERB
brj-22082	38	8	a	a	DET
brj-22082	38	9	reconstruction	reconstruction	NOUN
brj-22082	38	10	method	method	NOUN
brj-22082	38	11	by	by	ADP
brj-22082	38	12	combining	combine	VERB
brj-22082	38	13	structure	structure	NOUN
brj-22082	38	14	from	from	ADP
brj-22082	38	15	motion	motion	NOUN
brj-22082	38	16	(	(	PUNCT
brj-22082	38	17	sfm	sfm	NOUN
brj-22082	38	18	)	)	PUNCT
brj-22082	38	19	photogrammetry	photogrammetry	NOUN
brj-22082	38	20	and	and	CCONJ
brj-22082	38	21	acoustic	acoustic	ADJ
brj-22082	38	22	tomography	tomography	NOUN
brj-22082	38	23	to	to	PART
brj-22082	38	24	determine	determine	VERB
brj-22082	38	25	the	the	DET
brj-22082	38	26	internal	internal	ADJ
brj-22082	38	27	wood	wood	NOUN
brj-22082	38	28	quality	quality	NOUN
brj-22082	38	29	.	.	PUNCT
brj-22082	39	1	puxeddu	puxeddu	VERB
brj-22082	39	2	et	et	PROPN
brj-22082	39	3	al	al	PROPN
brj-22082	39	4	.	.	PROPN
brj-22082	40	1	(	(	PUNCT
brj-22082	40	2	2021	2021	NUM
brj-22082	40	3	)	)	PUNCT
brj-22082	40	4	used	use	VERB
brj-22082	40	5	close	close	ADJ
brj-22082	40	6	photogrammetry	photogrammetry	NOUN
brj-22082	40	7	(	(	PUNCT
brj-22082	40	8	cpr	cpr	PROPN
brj-22082	40	9	)	)	PUNCT
brj-22082	40	10	and	and	CCONJ
brj-22082	40	11	three	three	NUM
brj-22082	40	12	-	-	PUNCT
brj-22082	40	13	dimensional	dimensional	ADJ
brj-22082	40	14	ultrasound	ultrasound	NOUN
brj-22082	40	15	to	to	PART
brj-22082	40	16	reconstruct	reconstruct	VERB
brj-22082	40	17	the	the	DET
brj-22082	40	18	internal	internal	ADJ
brj-22082	40	19	decay	decay	NOUN
brj-22082	40	20	of	of	ADP
brj-22082	40	21	a	a	DET
brj-22082	40	22	living	live	VERB
brj-22082	40	23	adult	adult	NOUN
brj-22082	40	24	holm	holm	PROPN
brj-22082	40	25	oak	oak	NOUN
brj-22082	40	26	.	.	PUNCT
brj-22082	41	1	these	these	DET
brj-22082	41	2	methods	method	NOUN
brj-22082	41	3	can	can	AUX
brj-22082	41	4	directly	directly	ADV
brj-22082	41	5	show	show	VERB
brj-22082	41	6	the	the	DET
brj-22082	41	7	volume	volume	NOUN
brj-22082	41	8	of	of	ADP
brj-22082	41	9	wood	wood	NOUN
brj-22082	41	10	defects	defect	NOUN
brj-22082	41	11	and	and	CCONJ
brj-22082	41	12	quantitatively	quantitatively	ADV
brj-22082	41	13	understand	understand	VERB
brj-22082	41	14	the	the	DET
brj-22082	41	15	three	three	NUM
brj-22082	41	16	-	-	PUNCT
brj-22082	41	17	dimensional	dimensional	ADJ
brj-22082	41	18	distribution	distribution	NOUN
brj-22082	41	19	of	of	ADP
brj-22082	41	20	attenuation	attenuation	NOUN
brj-22082	41	21	.	.	PUNCT
brj-22082	42	1	fig	fig	NOUN
brj-22082	42	2	.	.	PUNCT
brj-22082	43	1	1	1	X
brj-22082	43	2	.	.	X
brj-22082	43	3	the	the	DET
brj-22082	43	4	research	research	NOUN
brj-22082	43	5	framework	framework	NOUN
brj-22082	43	6	of	of	ADP
brj-22082	43	7	the	the	DET
brj-22082	43	8	3d	3d	PROPN
brj-22082	43	9	reconstruction	reconstruction	NOUN
brj-22082	43	10	process	process	NOUN
brj-22082	43	11	3d	3d	NOUN
brj-22082	43	12	reconstruction	reconstruction	NOUN
brj-22082	43	13	technology	technology	NOUN
brj-22082	43	14	is	be	AUX
brj-22082	43	15	relatively	relatively	ADV
brj-22082	43	16	mature	mature	ADJ
brj-22082	43	17	,	,	PUNCT
brj-22082	43	18	and	and	CCONJ
brj-22082	43	19	there	there	PRON
brj-22082	43	20	has	have	AUX
brj-22082	43	21	been	be	AUX
brj-22082	43	22	much	much	ADJ
brj-22082	43	23	research	research	NOUN
brj-22082	43	24	in	in	ADP
brj-22082	43	25	reconstruction	reconstruction	NOUN
brj-22082	43	26	algorithms	algorithm	NOUN
brj-22082	43	27	,	,	PUNCT
brj-22082	43	28	image	image	NOUN
brj-22082	43	29	processing	processing	NOUN
brj-22082	43	30	,	,	PUNCT
brj-22082	43	31	etc	etc	X
brj-22082	43	32	.	.	X
brj-22082	44	1	the	the	DET
brj-22082	44	2	research	research	NOUN
brj-22082	44	3	relates	relate	VERB
brj-22082	44	4	to	to	ADP
brj-22082	44	5	threedimensional	threedimensional	ADJ
brj-22082	44	6	reconstruction	reconstruction	NOUN
brj-22082	44	7	of	of	ADP
brj-22082	44	8	sectional	sectional	ADJ
brj-22082	44	9	images	image	NOUN
brj-22082	44	10	of	of	ADP
brj-22082	44	11	internal	internal	ADJ
brj-22082	44	12	defects	defect	NOUN
brj-22082	44	13	in	in	ADP
brj-22082	44	14	tree	tree	NOUN
brj-22082	44	15	trunks	trunk	NOUN
brj-22082	44	16	and	and	CCONJ
brj-22082	44	17	is	be	AUX
brj-22082	44	18	mainly	mainly	ADV
brj-22082	44	19	focused	focus	VERB
brj-22082	44	20	on	on	ADP
brj-22082	44	21	ct	ct	NUM
brj-22082	44	22	scanning	scan	VERB
brj-22082	44	23	images	image	NOUN
brj-22082	44	24	.	.	PUNCT
brj-22082	45	1	however	however	ADV
brj-22082	45	2	,	,	PUNCT
brj-22082	45	3	from	from	ADP
brj-22082	45	4	the	the	DET
brj-22082	45	5	reconstruction	reconstruction	NOUN
brj-22082	45	6	,	,	PUNCT
brj-22082	45	7	the	the	DET
brj-22082	45	8	peer	peer	NOUN
brj-22082	45	9	-	-	PUNCT
brj-22082	45	10	reviewed	review	VERB
brj-22082	45	11	article	article	NOUN
brj-22082	45	12	bioresources.com	bioresources.com	X
brj-22082	45	13	li	li	PROPN
brj-22082	45	14	et	et	PROPN
brj-22082	45	15	al	al	PROPN
brj-22082	45	16	.	.	PROPN
brj-22082	45	17	(	(	PUNCT
brj-22082	45	18	2022	2022	NUM
brj-22082	45	19	)	)	PUNCT
brj-22082	45	20	.	.	PUNCT
brj-22082	46	1	“	"	PUNCT
brj-22082	46	2	3d	3d	NUM
brj-22082	46	3	reconstruction	reconstruction	NOUN
brj-22082	46	4	of	of	ADP
brj-22082	46	5	tree	tree	NOUN
brj-22082	46	6	decay	decay	NOUN
brj-22082	46	7	,	,	PUNCT
brj-22082	46	8	”	"	PUNCT
brj-22082	46	9	bioresources	bioresource	NOUN
brj-22082	46	10	17(4	17(4	NUM
brj-22082	46	11	)	)	PUNCT
brj-22082	46	12	,	,	PUNCT
brj-22082	46	13	6277	6277	NUM
brj-22082	46	14	-	-	SYM
brj-22082	46	15	6292	6292	NUM
brj-22082	46	16	.	.	PUNCT
brj-22082	47	1	6279	6279	NUM
brj-22082	47	2	performance	performance	NOUN
brj-22082	47	3	of	of	ADP
brj-22082	47	4	the	the	DET
brj-22082	47	5	internal	internal	ADJ
brj-22082	47	6	defect	defect	NOUN
brj-22082	47	7	areas	area	NOUN
brj-22082	47	8	is	be	AUX
brj-22082	47	9	not	not	PART
brj-22082	47	10	intuitive	intuitive	ADJ
brj-22082	47	11	,	,	PUNCT
brj-22082	47	12	and	and	CCONJ
brj-22082	47	13	sometimes	sometimes	ADV
brj-22082	47	14	it	it	PRON
brj-22082	47	15	is	be	AUX
brj-22082	47	16	necessary	necessary	ADJ
brj-22082	47	17	to	to	PART
brj-22082	47	18	go	go	VERB
brj-22082	47	19	through	through	ADP
brj-22082	47	20	further	further	ADJ
brj-22082	47	21	image	image	NOUN
brj-22082	47	22	segmentation	segmentation	NOUN
brj-22082	47	23	to	to	PART
brj-22082	47	24	observe	observe	VERB
brj-22082	47	25	the	the	DET
brj-22082	47	26	internal	internal	ADJ
brj-22082	47	27	decay	decay	NOUN
brj-22082	47	28	areas	area	NOUN
brj-22082	47	29	,	,	PUNCT
brj-22082	47	30	which	which	PRON
brj-22082	47	31	dramatically	dramatically	ADV
brj-22082	47	32	increases	increase	VERB
brj-22082	47	33	the	the	DET
brj-22082	47	34	workload	workload	NOUN
brj-22082	47	35	.	.	PUNCT
brj-22082	48	1	at	at	ADP
brj-22082	48	2	present	present	ADJ
brj-22082	48	3	,	,	PUNCT
brj-22082	48	4	research	research	NOUN
brj-22082	48	5	on	on	ADP
brj-22082	48	6	tru	tru	PROPN
brj-22082	48	7	tree	tree	NOUN
brj-22082	48	8	radar	radar	NOUN
brj-22082	48	9	is	be	AUX
brj-22082	48	10	focused	focus	VERB
brj-22082	48	11	on	on	ADP
brj-22082	48	12	the	the	DET
brj-22082	48	13	identification	identification	NOUN
brj-22082	48	14	and	and	CCONJ
brj-22082	48	15	evaluation	evaluation	NOUN
brj-22082	48	16	of	of	ADP
brj-22082	48	17	defects	defect	NOUN
brj-22082	48	18	and	and	CCONJ
brj-22082	48	19	the	the	DET
brj-22082	48	20	improvement	improvement	NOUN
brj-22082	48	21	of	of	ADP
brj-22082	48	22	detection	detection	NOUN
brj-22082	48	23	accuracy	accuracy	NOUN
brj-22082	48	24	.	.	PUNCT
brj-22082	49	1	the	the	DET
brj-22082	49	2	two	two	NUM
brj-22082	49	3	-	-	PUNCT
brj-22082	49	4	dimensional	dimensional	ADJ
brj-22082	49	5	image	image	NOUN
brj-22082	49	6	of	of	ADP
brj-22082	49	7	the	the	DET
brj-22082	49	8	trunk	trunk	NOUN
brj-22082	49	9	parsed	parse	VERB
brj-22082	49	10	by	by	ADP
brj-22082	49	11	different	different	ADJ
brj-22082	49	12	non	non	ADJ
brj-22082	49	13	-	-	ADJ
brj-22082	49	14	destructive	destructive	ADJ
brj-22082	49	15	testing	testing	NOUN
brj-22082	49	16	equipment	equipment	NOUN
brj-22082	49	17	contains	contain	VERB
brj-22082	49	18	additional	additional	ADJ
brj-22082	49	19	internal	internal	ADJ
brj-22082	49	20	information	information	NOUN
brj-22082	49	21	,	,	PUNCT
brj-22082	49	22	so	so	CCONJ
brj-22082	49	23	the	the	DET
brj-22082	49	24	image	image	NOUN
brj-22082	49	25	processing	processing	NOUN
brj-22082	49	26	methods	method	NOUN
brj-22082	49	27	are	be	AUX
brj-22082	49	28	different	different	ADJ
brj-22082	49	29	.	.	PUNCT
brj-22082	50	1	this	this	DET
brj-22082	50	2	paper	paper	NOUN
brj-22082	50	3	reconstructs	reconstruct	VERB
brj-22082	50	4	the	the	DET
brj-22082	50	5	decay	decay	NOUN
brj-22082	50	6	inside	inside	ADP
brj-22082	50	7	the	the	DET
brj-22082	50	8	trunk	trunk	NOUN
brj-22082	50	9	according	accord	VERB
brj-22082	50	10	to	to	ADP
brj-22082	50	11	the	the	DET
brj-22082	50	12	tru	tru	PROPN
brj-22082	50	13	tree	tree	NOUN
brj-22082	50	14	radar	radar	NOUN
brj-22082	51	1	scan	scan	NOUN
brj-22082	51	2	image	image	NOUN
brj-22082	51	3	.	.	PUNCT
brj-22082	52	1	the	the	DET
brj-22082	52	2	research	research	NOUN
brj-22082	52	3	framework	framework	NOUN
brj-22082	52	4	is	be	AUX
brj-22082	52	5	shown	show	VERB
brj-22082	52	6	in	in	ADP
brj-22082	52	7	fig	fig	NOUN
brj-22082	52	8	.	.	PUNCT
brj-22082	53	1	1	1	X
brj-22082	53	2	.	.	X
brj-22082	53	3	experimental	experimental	ADJ
brj-22082	53	4	materials	material	NOUN
brj-22082	53	5	the	the	DET
brj-22082	53	6	tru	tru	PROPN
brj-22082	53	7	tree	tree	NOUN
brj-22082	53	8	radar	radar	NOUN
brj-22082	53	9	system	system	NOUN
brj-22082	53	10	is	be	AUX
brj-22082	53	11	composed	compose	VERB
brj-22082	53	12	of	of	ADP
brj-22082	53	13	a	a	DET
brj-22082	53	14	terrasirch	terrasirch	NOUN
brj-22082	53	15	™	™	ADJ
brj-22082	53	16	ground	ground	NOUN
brj-22082	53	17	penetrating	penetrate	VERB
brj-22082	53	18	radar	radar	NOUN
brj-22082	53	19	system	system	NOUN
brj-22082	53	20	(	(	PUNCT
brj-22082	53	21	nashua	nashua	PROPN
brj-22082	53	22	,	,	PUNCT
brj-22082	53	23	nh	nh	PROPN
brj-22082	53	24	,	,	PUNCT
brj-22082	53	25	usa	usa	PROPN
brj-22082	53	26	)	)	PUNCT
brj-22082	53	27	,	,	PUNCT
brj-22082	53	28	sir-3000	sir-3000	X
brj-22082	53	29	(	(	PUNCT
brj-22082	53	30	subsurface	subsurface	NOUN
brj-22082	53	31	interface	interface	NOUN
brj-22082	53	32	radar	radar	NOUN
brj-22082	53	33	)	)	PUNCT
brj-22082	53	34	host	host	NOUN
brj-22082	53	35	,	,	PUNCT
brj-22082	53	36	and	and	CCONJ
brj-22082	53	37	900	900	NUM
brj-22082	53	38	mhz	mhz	NOUN
brj-22082	53	39	(	(	PUNCT
brj-22082	53	40	model	model	NOUN
brj-22082	53	41	:	:	PUNCT
brj-22082	53	42	3101d	3101d	NUM
brj-22082	53	43	)	)	PUNCT
brj-22082	53	44	radar	radar	NOUN
brj-22082	53	45	signal	signal	NOUN
brj-22082	53	46	transmitting	transmit	VERB
brj-22082	53	47	system	system	NOUN
brj-22082	53	48	.	.	PUNCT
brj-22082	54	1	the	the	DET
brj-22082	54	2	radar	radar	NOUN
brj-22082	54	3	image	image	NOUN
brj-22082	54	4	analysis	analysis	NOUN
brj-22082	54	5	software	software	NOUN
brj-22082	54	6	is	be	AUX
brj-22082	54	7	treewin	treewin	VERB
brj-22082	54	8	(	(	PUNCT
brj-22082	54	9	treeradar	treeradar	PROPN
brj-22082	54	10	inc	inc	PROPN
brj-22082	54	11	.	.	PROPN
brj-22082	54	12	,	,	PUNCT
brj-22082	54	13	silver	silver	PROPN
brj-22082	54	14	spring	spring	PROPN
brj-22082	54	15	,	,	PUNCT
brj-22082	54	16	md	md	PROPN
brj-22082	54	17	,	,	PUNCT
brj-22082	54	18	usa	usa	PROPN
brj-22082	54	19	)	)	PUNCT
brj-22082	54	20	program	program	NOUN
brj-22082	54	21	.	.	PUNCT
brj-22082	55	1	using	use	VERB
brj-22082	55	2	the	the	DET
brj-22082	55	3	tru	tru	PROPN
brj-22082	55	4	tree	tree	NOUN
brj-22082	55	5	radar	radar	NOUN
brj-22082	55	6	to	to	PART
brj-22082	55	7	scan	scan	VERB
brj-22082	55	8	trees	tree	NOUN
brj-22082	55	9	includes	include	VERB
brj-22082	55	10	two	two	NUM
brj-22082	55	11	independent	independent	ADJ
brj-22082	55	12	steps	step	NOUN
brj-22082	55	13	:	:	PUNCT
brj-22082	55	14	field	field	NOUN
brj-22082	55	15	data	datum	NOUN
brj-22082	55	16	collection	collection	NOUN
brj-22082	55	17	and	and	CCONJ
brj-22082	55	18	radar	radar	NOUN
brj-22082	55	19	wave	wave	NOUN
brj-22082	55	20	data	datum	NOUN
brj-22082	55	21	analysis	analysis	NOUN
brj-22082	55	22	.	.	PUNCT
brj-22082	56	1	when	when	SCONJ
brj-22082	56	2	tru	tru	PROPN
brj-22082	56	3	tree	tree	NOUN
brj-22082	56	4	radar	radar	NOUN
brj-22082	56	5	detects	detect	NOUN
brj-22082	56	6	trees	tree	NOUN
brj-22082	56	7	,	,	PUNCT
brj-22082	56	8	the	the	DET
brj-22082	56	9	integrated	integrated	ADJ
brj-22082	56	10	radar	radar	NOUN
brj-22082	56	11	transceiver	transceiver	NOUN
brj-22082	56	12	antenna	antenna	NOUN
brj-22082	56	13	transmits	transmit	VERB
brj-22082	56	14	high	high	ADJ
brj-22082	56	15	-	-	PUNCT
brj-22082	56	16	frequency	frequency	NOUN
brj-22082	56	17	electromagnetic	electromagnetic	ADJ
brj-22082	56	18	waves	wave	NOUN
brj-22082	56	19	.	.	PUNCT
brj-22082	57	1	in	in	ADP
brj-22082	57	2	the	the	DET
brj-22082	57	3	process	process	NOUN
brj-22082	57	4	of	of	ADP
brj-22082	57	5	radar	radar	NOUN
brj-22082	57	6	wave	wave	NOUN
brj-22082	57	7	propagation	propagation	NOUN
brj-22082	57	8	in	in	ADP
brj-22082	57	9	the	the	DET
brj-22082	57	10	tree	tree	NOUN
brj-22082	57	11	trunk	trunk	NOUN
brj-22082	57	12	medium	medium	NOUN
brj-22082	57	13	,	,	PUNCT
brj-22082	57	14	when	when	SCONJ
brj-22082	57	15	it	it	PRON
brj-22082	57	16	encounters	encounter	VERB
brj-22082	57	17	decay	decay	VERB
brj-22082	57	18	and	and	CCONJ
brj-22082	57	19	holes	hole	NOUN
brj-22082	57	20	with	with	ADP
brj-22082	57	21	electrical	electrical	ADJ
brj-22082	57	22	differences	difference	NOUN
brj-22082	57	23	,	,	PUNCT
brj-22082	57	24	the	the	DET
brj-22082	57	25	electromagnetic	electromagnetic	ADJ
brj-22082	57	26	wave	wave	NOUN
brj-22082	57	27	will	will	AUX
brj-22082	57	28	be	be	AUX
brj-22082	57	29	reflected	reflect	VERB
brj-22082	57	30	and	and	CCONJ
brj-22082	57	31	accepted	accept	VERB
brj-22082	57	32	by	by	ADP
brj-22082	57	33	the	the	DET
brj-22082	57	34	receiving	receive	VERB
brj-22082	57	35	antenna	antenna	NOUN
brj-22082	57	36	,	,	PUNCT
brj-22082	57	37	thereby	thereby	ADV
brj-22082	57	38	realizing	realize	VERB
brj-22082	57	39	the	the	DET
brj-22082	57	40	process	process	NOUN
brj-22082	57	41	of	of	ADP
brj-22082	57	42	non	non	ADJ
brj-22082	57	43	-	-	ADJ
brj-22082	57	44	destructive	destructive	ADJ
brj-22082	57	45	testing	testing	NOUN
brj-22082	57	46	(	(	PUNCT
brj-22082	57	47	fig	fig	NOUN
brj-22082	57	48	.	.	PUNCT
brj-22082	58	1	2a	2a	NUM
brj-22082	58	2	)	)	PUNCT
brj-22082	58	3	.	.	PUNCT
brj-22082	59	1	the	the	DET
brj-22082	59	2	basic	basic	ADJ
brj-22082	59	3	principle	principle	NOUN
brj-22082	59	4	of	of	ADP
brj-22082	59	5	detecting	detect	VERB
brj-22082	59	6	wood	wood	NOUN
brj-22082	59	7	defect	defect	NOUN
brj-22082	59	8	location	location	NOUN
brj-22082	59	9	by	by	ADP
brj-22082	59	10	radar	radar	NOUN
brj-22082	59	11	wave	wave	NOUN
brj-22082	59	12	is	be	AUX
brj-22082	59	13	to	to	PART
brj-22082	59	14	obtain	obtain	VERB
brj-22082	59	15	the	the	DET
brj-22082	59	16	location	location	NOUN
brj-22082	59	17	of	of	ADP
brj-22082	59	18	a	a	DET
brj-22082	59	19	wood	wood	NOUN
brj-22082	59	20	defect	defect	NOUN
brj-22082	59	21	according	accord	VERB
brj-22082	59	22	to	to	ADP
brj-22082	59	23	the	the	DET
brj-22082	59	24	reflection	reflection	NOUN
brj-22082	59	25	time	time	NOUN
brj-22082	59	26	and	and	CCONJ
brj-22082	59	27	propagation	propagation	NOUN
brj-22082	59	28	velocity	velocity	NOUN
brj-22082	59	29	of	of	ADP
brj-22082	59	30	radar	radar	NOUN
brj-22082	59	31	wave	wave	NOUN
brj-22082	59	32	at	at	ADP
brj-22082	59	33	the	the	DET
brj-22082	59	34	interface	interface	NOUN
brj-22082	59	35	between	between	ADP
brj-22082	59	36	healthy	healthy	ADJ
brj-22082	59	37	wood	wood	NOUN
brj-22082	59	38	body	body	NOUN
brj-22082	59	39	and	and	CCONJ
brj-22082	59	40	defective	defective	ADJ
brj-22082	59	41	medium	medium	NOUN
brj-22082	59	42	(	(	PUNCT
brj-22082	59	43	fig	fig	NOUN
brj-22082	59	44	.	.	PUNCT
brj-22082	59	45	2b	2b	NUM
brj-22082	59	46	)	)	PUNCT
brj-22082	59	47	.	.	PUNCT
brj-22082	60	1	therefore	therefore	ADV
brj-22082	60	2	,	,	PUNCT
brj-22082	60	3	the	the	DET
brj-22082	60	4	key	key	NOUN
brj-22082	60	5	to	to	PART
brj-22082	60	6	defect	defect	VERB
brj-22082	60	7	detection	detection	NOUN
brj-22082	60	8	is	be	AUX
brj-22082	60	9	to	to	PART
brj-22082	60	10	determine	determine	VERB
brj-22082	60	11	the	the	DET
brj-22082	60	12	propagation	propagation	NOUN
brj-22082	60	13	and	and	CCONJ
brj-22082	60	14	echo	echo	VERB
brj-22082	60	15	time	time	NOUN
brj-22082	60	16	of	of	ADP
brj-22082	60	17	radar	radar	NOUN
brj-22082	60	18	wave	wave	NOUN
brj-22082	60	19	in	in	ADP
brj-22082	60	20	different	different	ADJ
brj-22082	60	21	wood	wood	NOUN
brj-22082	60	22	structure	structure	NOUN
brj-22082	60	23	layers	layer	NOUN
brj-22082	60	24	,	,	PUNCT
brj-22082	60	25	and	and	CCONJ
brj-22082	60	26	the	the	DET
brj-22082	60	27	second	second	NOUN
brj-22082	60	28	is	be	AUX
brj-22082	60	29	to	to	PART
brj-22082	60	30	determine	determine	VERB
brj-22082	60	31	the	the	DET
brj-22082	60	32	propagation	propagation	NOUN
brj-22082	60	33	velocity	velocity	NOUN
brj-22082	60	34	of	of	ADP
brj-22082	60	35	an	an	DET
brj-22082	60	36	electromagnetic	electromagnetic	ADJ
brj-22082	60	37	wave	wave	NOUN
brj-22082	60	38	in	in	ADP
brj-22082	60	39	healthy	healthy	ADJ
brj-22082	60	40	wood	wood	NOUN
brj-22082	60	41	body	body	NOUN
brj-22082	60	42	.	.	PUNCT
brj-22082	61	1	if	if	SCONJ
brj-22082	61	2	the	the	DET
brj-22082	61	3	dielectric	dielectric	ADJ
brj-22082	61	4	constant	constant	ADJ
brj-22082	61	5	of	of	ADP
brj-22082	61	6	each	each	DET
brj-22082	61	7	wood	wood	NOUN
brj-22082	61	8	structure	structure	NOUN
brj-22082	61	9	layer	layer	NOUN
brj-22082	61	10	is	be	AUX
brj-22082	61	11	known	know	VERB
brj-22082	61	12	,	,	PUNCT
brj-22082	61	13	then	then	ADV
brj-22082	61	14	the	the	DET
brj-22082	61	15	propagation	propagation	NOUN
brj-22082	61	16	speed	speed	NOUN
brj-22082	61	17	of	of	ADP
brj-22082	61	18	the	the	DET
brj-22082	61	19	electromagnetic	electromagnetic	ADJ
brj-22082	61	20	wave	wave	NOUN
brj-22082	61	21	in	in	ADP
brj-22082	61	22	the	the	DET
brj-22082	61	23	medium	medium	NOUN
brj-22082	61	24	is	be	AUX
brj-22082	61	25	calculated	calculate	VERB
brj-22082	61	26	as	as	ADP
brj-22082	61	27	follows	follow	VERB
brj-22082	61	28	(	(	PUNCT
brj-22082	61	29	xu	xu	INTJ
brj-22082	61	30	et	et	PROPN
brj-22082	61	31	al	al	PROPN
brj-22082	61	32	.	.	PROPN
brj-22082	61	33	2012	2012	NUM
brj-22082	61	34	)	)	PUNCT
brj-22082	61	35	,	,	PUNCT
brj-22082	61	36	𝑣	𝑣	X
brj-22082	61	37	=	=	SYM
brj-22082	61	38	𝑐	𝑐	PROPN
brj-22082	61	39	√𝜀	√𝜀	NOUN
brj-22082	61	40	(	(	PUNCT
brj-22082	61	41	1	1	NUM
brj-22082	61	42	)	)	PUNCT
brj-22082	61	43	where	where	SCONJ
brj-22082	61	44	v	v	NOUN
brj-22082	61	45	is	be	AUX
brj-22082	61	46	the	the	DET
brj-22082	61	47	propagation	propagation	NOUN
brj-22082	61	48	velocity	velocity	NOUN
brj-22082	61	49	of	of	ADP
brj-22082	61	50	electromagnetic	electromagnetic	ADJ
brj-22082	61	51	wave	wave	NOUN
brj-22082	61	52	in	in	ADP
brj-22082	61	53	medium	medium	ADJ
brj-22082	61	54	(	(	PUNCT
brj-22082	61	55	m	m	NOUN
brj-22082	61	56	/	/	SYM
brj-22082	61	57	ns	ns	NUM
brj-22082	61	58	)	)	PUNCT
brj-22082	61	59	,	,	PUNCT
brj-22082	61	60	c	c	PROPN
brj-22082	61	61	is	be	AUX
brj-22082	61	62	the	the	DET
brj-22082	61	63	propagation	propagation	NOUN
brj-22082	61	64	velocity	velocity	NOUN
brj-22082	61	65	of	of	ADP
brj-22082	61	66	electromagnetic	electromagnetic	ADJ
brj-22082	61	67	wave	wave	NOUN
brj-22082	61	68	in	in	ADP
brj-22082	61	69	vacuum	vacuum	NOUN
brj-22082	61	70	=	=	PUNCT
brj-22082	61	71	0.3m	0.3m	PROPN
brj-22082	61	72	/	/	SYM
brj-22082	61	73	ns	ns	ADJ
brj-22082	61	74	,	,	PUNCT
brj-22082	61	75	and	and	CCONJ
brj-22082	61	76	ε	ε	PROPN
brj-22082	61	77	is	be	AUX
brj-22082	61	78	the	the	DET
brj-22082	61	79	dielectric	dielectric	ADJ
brj-22082	61	80	constant	constant	ADJ
brj-22082	61	81	.	.	PUNCT
brj-22082	62	1	the	the	DET
brj-22082	62	2	transceiver	transceiver	NOUN
brj-22082	62	3	antenna	antenna	NOUN
brj-22082	62	4	in	in	ADP
brj-22082	62	5	the	the	DET
brj-22082	62	6	equipment	equipment	NOUN
brj-22082	62	7	is	be	AUX
brj-22082	62	8	integrated	integrate	VERB
brj-22082	62	9	,	,	PUNCT
brj-22082	62	10	so	so	CCONJ
brj-22082	62	11	the	the	DET
brj-22082	62	12	h	h	NOUN
brj-22082	62	13	value	value	NOUN
brj-22082	62	14	in	in	ADP
brj-22082	62	15	fig	fig	NOUN
brj-22082	62	16	.	.	PUNCT
brj-22082	63	1	2b	2b	NUM
brj-22082	63	2	is	be	AUX
brj-22082	63	3	approximately	approximately	ADV
brj-22082	63	4	equal	equal	ADJ
brj-22082	63	5	to	to	ADP
brj-22082	63	6	h1	h1	VERB
brj-22082	63	7	,	,	PUNCT
brj-22082	63	8	then	then	ADV
brj-22082	63	9	the	the	DET
brj-22082	63	10	formula	formula	NOUN
brj-22082	63	11	for	for	ADP
brj-22082	63	12	calculating	calculate	VERB
brj-22082	63	13	the	the	DET
brj-22082	63	14	defect	defect	NOUN
brj-22082	63	15	location	location	NOUN
brj-22082	63	16	is	be	AUX
brj-22082	63	17	,	,	PUNCT
brj-22082	63	18	2	2	NUM
brj-22082	63	19	tv	tv	NOUN
brj-22082	63	20	h	h	NOUN
brj-22082	63	21			PROPN
brj-22082	63	22	=	=	PUNCT
brj-22082	63	23	(	(	PUNCT
brj-22082	63	24	2	2	NUM
brj-22082	63	25	)	)	PUNCT
brj-22082	63	26	where	where	SCONJ
brj-22082	63	27	h	h	NOUN
brj-22082	63	28	is	be	AUX
brj-22082	63	29	the	the	DET
brj-22082	63	30	defect	defect	NOUN
brj-22082	63	31	position	position	NOUN
brj-22082	63	32	,	,	PUNCT
brj-22082	63	33	v	v	NOUN
brj-22082	63	34	is	be	AUX
brj-22082	63	35	the	the	DET
brj-22082	63	36	electromagnetic	electromagnetic	ADJ
brj-22082	63	37	wave	wave	NOUN
brj-22082	63	38	propagation	propagation	NOUN
brj-22082	63	39	velocity	velocity	NOUN
brj-22082	63	40	in	in	ADP
brj-22082	63	41	the	the	DET
brj-22082	63	42	medium	medium	NOUN
brj-22082	63	43	(	(	PUNCT
brj-22082	63	44	m	m	NOUN
brj-22082	63	45	/	/	SYM
brj-22082	63	46	ns	ns	NUM
brj-22082	63	47	)	)	PUNCT
brj-22082	63	48	,	,	PUNCT
brj-22082	63	49	and	and	CCONJ
brj-22082	63	50	t	t	PROPN
brj-22082	63	51	is	be	AUX
brj-22082	63	52	the	the	DET
brj-22082	63	53	radar	radar	NOUN
brj-22082	63	54	wave	wave	NOUN
brj-22082	63	55	two	two	NUM
brj-22082	63	56	-	-	PUNCT
brj-22082	63	57	way	way	NOUN
brj-22082	63	58	time	time	NOUN
brj-22082	63	59	at	at	ADP
brj-22082	63	60	the	the	DET
brj-22082	63	61	interface	interface	NOUN
brj-22082	63	62	between	between	ADP
brj-22082	63	63	the	the	DET
brj-22082	63	64	healthy	healthy	ADJ
brj-22082	63	65	wood	wood	NOUN
brj-22082	63	66	body	body	NOUN
brj-22082	63	67	and	and	CCONJ
brj-22082	63	68	the	the	DET
brj-22082	63	69	defect	defect	NOUN
brj-22082	63	70	(	(	PUNCT
brj-22082	63	71	ns	ns	NUM
brj-22082	63	72	)	)	PUNCT
brj-22082	63	73	.	.	PUNCT
brj-22082	64	1	peer	peer	NOUN
brj-22082	64	2	-	-	PUNCT
brj-22082	64	3	reviewed	review	VERB
brj-22082	64	4	article	article	NOUN
brj-22082	64	5	bioresources.com	bioresources.com	X
brj-22082	64	6	li	li	PROPN
brj-22082	64	7	et	et	PROPN
brj-22082	64	8	al	al	PROPN
brj-22082	64	9	.	.	PROPN
brj-22082	64	10	(	(	PUNCT
brj-22082	64	11	2022	2022	NUM
brj-22082	64	12	)	)	PUNCT
brj-22082	64	13	.	.	PUNCT
brj-22082	65	1	“	"	PUNCT
brj-22082	65	2	3d	3d	NUM
brj-22082	65	3	reconstruction	reconstruction	NOUN
brj-22082	65	4	of	of	ADP
brj-22082	65	5	tree	tree	NOUN
brj-22082	65	6	decay	decay	NOUN
brj-22082	65	7	,	,	PUNCT
brj-22082	65	8	”	"	PUNCT
brj-22082	65	9	bioresources	bioresource	NOUN
brj-22082	65	10	17(4	17(4	NUM
brj-22082	65	11	)	)	PUNCT
brj-22082	65	12	,	,	PUNCT
brj-22082	65	13	6277	6277	NUM
brj-22082	65	14	-	-	SYM
brj-22082	65	15	6292	6292	NUM
brj-22082	65	16	.	.	PUNCT
brj-22082	66	1	6280	6280	NUM
brj-22082	66	2	fig	fig	NOUN
brj-22082	66	3	.	.	PUNCT
brj-22082	67	1	2	2	X
brj-22082	67	2	.	.	X
brj-22082	67	3	principle	principle	NOUN
brj-22082	67	4	of	of	ADP
brj-22082	67	5	radar	radar	NOUN
brj-22082	67	6	wave	wave	NOUN
brj-22082	67	7	detection	detection	NOUN
brj-22082	67	8	and	and	CCONJ
brj-22082	67	9	defective	defective	ADJ
brj-22082	67	10	position	position	NOUN
brj-22082	67	11	detection	detection	NOUN
brj-22082	67	12	.	.	PUNCT
brj-22082	68	1	(	(	PUNCT
brj-22082	68	2	a	a	X
brj-22082	68	3	):	):	PUNCT
brj-22082	68	4	radar	radar	NOUN
brj-22082	68	5	wave	wave	NOUN
brj-22082	68	6	detection	detection	NOUN
brj-22082	68	7	principle	principle	NOUN
brj-22082	68	8	;	;	PUNCT
brj-22082	68	9	(	(	PUNCT
brj-22082	68	10	b	b	X
brj-22082	68	11	):	):	PUNCT
brj-22082	68	12	detection	detection	NOUN
brj-22082	68	13	principle	principle	NOUN
brj-22082	68	14	of	of	ADP
brj-22082	68	15	wood	wood	NOUN
brj-22082	68	16	defect	defect	NOUN
brj-22082	68	17	location	location	NOUN
brj-22082	68	18	,	,	PUNCT
brj-22082	68	19	t	t	PROPN
brj-22082	68	20	is	be	AUX
brj-22082	68	21	the	the	DET
brj-22082	68	22	transmitting	transmit	VERB
brj-22082	68	23	antenna	antenna	NOUN
brj-22082	68	24	,	,	PUNCT
brj-22082	68	25	r	r	NOUN
brj-22082	68	26	is	be	AUX
brj-22082	68	27	the	the	DET
brj-22082	68	28	receiving	receive	VERB
brj-22082	68	29	antenna	antenna	NOUN
brj-22082	68	30	,	,	PUNCT
brj-22082	68	31	h	h	NOUN
brj-22082	68	32	is	be	AUX
brj-22082	68	33	the	the	DET
brj-22082	68	34	distance	distance	NOUN
brj-22082	68	35	from	from	ADP
brj-22082	68	36	the	the	DET
brj-22082	68	37	bark	bark	NOUN
brj-22082	68	38	to	to	ADP
brj-22082	68	39	the	the	DET
brj-22082	68	40	interface	interface	NOUN
brj-22082	68	41	between	between	ADP
brj-22082	68	42	the	the	DET
brj-22082	68	43	healthy	healthy	ADJ
brj-22082	68	44	wood	wood	NOUN
brj-22082	68	45	body	body	NOUN
brj-22082	68	46	and	and	CCONJ
brj-22082	68	47	the	the	DET
brj-22082	68	48	defective	defective	ADJ
brj-22082	68	49	medium	medium	NOUN
brj-22082	68	50	,	,	PUNCT
brj-22082	68	51	h1	h1	PROPN
brj-22082	68	52	is	be	AUX
brj-22082	68	53	the	the	DET
brj-22082	68	54	propagation	propagation	NOUN
brj-22082	68	55	distance	distance	NOUN
brj-22082	68	56	of	of	ADP
brj-22082	68	57	the	the	DET
brj-22082	68	58	radar	radar	NOUN
brj-22082	68	59	wave	wave	NOUN
brj-22082	68	60	in	in	ADP
brj-22082	68	61	front	front	NOUN
brj-22082	68	62	of	of	ADP
brj-22082	68	63	the	the	DET
brj-22082	68	64	boundary	boundary	NOUN
brj-22082	68	65	between	between	ADP
brj-22082	68	66	the	the	DET
brj-22082	68	67	healthy	healthy	ADJ
brj-22082	68	68	wood	wood	NOUN
brj-22082	68	69	body	body	NOUN
brj-22082	68	70	and	and	CCONJ
brj-22082	68	71	the	the	DET
brj-22082	68	72	defective	defective	ADJ
brj-22082	68	73	medium	medium	NOUN
brj-22082	68	74	,	,	PUNCT
brj-22082	68	75	v1	v1	NOUN
brj-22082	68	76	is	be	AUX
brj-22082	68	77	the	the	DET
brj-22082	68	78	propagation	propagation	NOUN
brj-22082	68	79	velocity	velocity	NOUN
brj-22082	68	80	of	of	ADP
brj-22082	68	81	the	the	DET
brj-22082	68	82	radar	radar	NOUN
brj-22082	68	83	wave	wave	NOUN
brj-22082	68	84	in	in	ADP
brj-22082	68	85	the	the	DET
brj-22082	68	86	healthy	healthy	ADJ
brj-22082	68	87	wood	wood	NOUN
brj-22082	68	88	,	,	PUNCT
brj-22082	68	89	and	and	CCONJ
brj-22082	68	90	v2	v2	NOUN
brj-22082	68	91	is	be	AUX
brj-22082	68	92	the	the	DET
brj-22082	68	93	propagation	propagation	NOUN
brj-22082	68	94	velocity	velocity	NOUN
brj-22082	68	95	of	of	ADP
brj-22082	68	96	the	the	DET
brj-22082	68	97	radar	radar	NOUN
brj-22082	68	98	wave	wave	NOUN
brj-22082	68	99	in	in	ADP
brj-22082	68	100	the	the	DET
brj-22082	68	101	defect	defect	NOUN
brj-22082	68	102	.	.	PUNCT
brj-22082	69	1	this	this	DET
brj-22082	69	2	study	study	NOUN
brj-22082	69	3	takes	take	VERB
brj-22082	69	4	the	the	DET
brj-22082	69	5	cedar	cedar	NOUN
brj-22082	69	6	(	(	PUNCT
brj-22082	69	7	cedrus	cedrus	NOUN
brj-22082	69	8	deodara	deodara	NOUN
brj-22082	69	9	)	)	PUNCT
brj-22082	69	10	in	in	ADP
brj-22082	69	11	shaanxi	shaanxi	PROPN
brj-22082	69	12	province	province	PROPN
brj-22082	69	13	,	,	PUNCT
brj-22082	69	14	china	china	PROPN
brj-22082	69	15	,	,	PUNCT
brj-22082	69	16	as	as	ADP
brj-22082	69	17	the	the	DET
brj-22082	69	18	empirical	empirical	ADJ
brj-22082	69	19	data	data	NOUN
brj-22082	69	20	collection	collection	NOUN
brj-22082	69	21	object	object	NOUN
brj-22082	69	22	.	.	PUNCT
brj-22082	70	1	during	during	ADP
brj-22082	70	2	experimental	experimental	ADJ
brj-22082	70	3	data	datum	NOUN
brj-22082	70	4	collection	collection	NOUN
brj-22082	70	5	,	,	PUNCT
brj-22082	70	6	scanning	scanning	NOUN
brj-22082	70	7	was	be	AUX
brj-22082	70	8	carried	carry	VERB
brj-22082	70	9	out	out	ADP
brj-22082	70	10	from	from	ADP
brj-22082	70	11	the	the	DET
brj-22082	70	12	bottom	bottom	NOUN
brj-22082	70	13	to	to	ADP
brj-22082	70	14	the	the	DET
brj-22082	70	15	top	top	NOUN
brj-22082	70	16	of	of	ADP
brj-22082	70	17	the	the	DET
brj-22082	70	18	trunk	trunk	NOUN
brj-22082	70	19	,	,	PUNCT
brj-22082	70	20	with	with	ADP
brj-22082	70	21	positions	position	NOUN
brj-22082	70	22	corresponding	correspond	VERB
brj-22082	70	23	to	to	ADP
brj-22082	70	24	different	different	ADJ
brj-22082	70	25	heights	height	NOUN
brj-22082	70	26	.	.	PUNCT
brj-22082	71	1	radar	radar	NOUN
brj-22082	71	2	wave	wave	NOUN
brj-22082	71	3	data	datum	NOUN
brj-22082	71	4	was	be	AUX
brj-22082	71	5	obtained	obtain	VERB
brj-22082	71	6	at	at	ADP
brj-22082	71	7	ten	ten	NUM
brj-22082	71	8	heights	height	NOUN
brj-22082	71	9	within	within	ADP
brj-22082	71	10	1	1	NUM
brj-22082	71	11	m	m	NOUN
brj-22082	71	12	of	of	ADP
brj-22082	71	13	the	the	DET
brj-22082	71	14	tree	tree	NOUN
brj-22082	71	15	,	,	PUNCT
brj-22082	71	16	and	and	CCONJ
brj-22082	71	17	treewin	treewin	ADJ
brj-22082	71	18	software	software	NOUN
brj-22082	71	19	was	be	AUX
brj-22082	71	20	used	use	VERB
brj-22082	71	21	to	to	PART
brj-22082	71	22	analyze	analyze	VERB
brj-22082	71	23	the	the	DET
brj-22082	71	24	radar	radar	NOUN
brj-22082	71	25	wave	wave	NOUN
brj-22082	71	26	data	data	PROPN
brj-22082	71	27	.	.	PUNCT
brj-22082	72	1	the	the	DET
brj-22082	72	2	b	b	X
brj-22082	72	3	-	-	PUNCT
brj-22082	72	4	scan	scan	ADJ
brj-22082	72	5	image	image	NOUN
brj-22082	72	6	of	of	ADP
brj-22082	72	7	the	the	DET
brj-22082	72	8	tree	tree	NOUN
brj-22082	72	9	trunk	trunk	NOUN
brj-22082	72	10	is	be	AUX
brj-22082	72	11	shown	show	VERB
brj-22082	72	12	in	in	ADP
brj-22082	72	13	fig	fig	NOUN
brj-22082	72	14	.	.	PUNCT
brj-22082	73	1	3	3	X
brj-22082	73	2	.	.	X
brj-22082	73	3	the	the	DET
brj-22082	73	4	horizontal	horizontal	ADJ
brj-22082	73	5	axis	axis	NOUN
brj-22082	73	6	represents	represent	VERB
brj-22082	73	7	the	the	DET
brj-22082	73	8	distance	distance	NOUN
brj-22082	73	9	along	along	ADP
brj-22082	73	10	the	the	DET
brj-22082	73	11	perimeter	perimeter	NOUN
brj-22082	73	12	of	of	ADP
brj-22082	73	13	the	the	DET
brj-22082	73	14	trunk	trunk	NOUN
brj-22082	73	15	,	,	PUNCT
brj-22082	73	16	the	the	DET
brj-22082	73	17	vertical	vertical	ADJ
brj-22082	73	18	axis	axis	NOUN
brj-22082	73	19	indicates	indicate	VERB
brj-22082	73	20	the	the	DET
brj-22082	73	21	depth	depth	NOUN
brj-22082	73	22	of	of	ADP
brj-22082	73	23	entering	enter	VERB
brj-22082	73	24	the	the	DET
brj-22082	73	25	trunk	trunk	NOUN
brj-22082	73	26	,	,	PUNCT
brj-22082	73	27	and	and	CCONJ
brj-22082	73	28	the	the	DET
brj-22082	73	29	green	green	ADJ
brj-22082	73	30	line	line	NOUN
brj-22082	73	31	represents	represent	VERB
brj-22082	73	32	the	the	DET
brj-22082	73	33	front	front	ADJ
brj-22082	73	34	surface	surface	NOUN
brj-22082	73	35	(	(	PUNCT
brj-22082	73	36	bark	bark	NOUN
brj-22082	73	37	-	-	PUNCT
brj-22082	73	38	wood	wood	NOUN
brj-22082	73	39	)	)	PUNCT
brj-22082	73	40	.	.	PUNCT
brj-22082	74	1	a	a	DET
brj-22082	74	2	white	white	PROPN
brj-22082	74	3	box	box	PROPN
brj-22082	74	4	is	be	AUX
brj-22082	74	5	for	for	ADP
brj-22082	74	6	the	the	DET
brj-22082	74	7	analysis	analysis	NOUN
brj-22082	74	8	gate	gate	NOUN
brj-22082	74	9	;	;	PUNCT
brj-22082	74	10	after	after	ADP
brj-22082	74	11	filtering	filtering	NOUN
brj-22082	74	12	and	and	CCONJ
brj-22082	74	13	grain	grain	NOUN
brj-22082	74	14	processing	processing	NOUN
brj-22082	74	15	,	,	PUNCT
brj-22082	74	16	the	the	DET
brj-22082	74	17	waveform	waveform	NOUN
brj-22082	74	18	of	of	ADP
brj-22082	74	19	the	the	DET
brj-22082	74	20	reflected	reflect	VERB
brj-22082	74	21	wave	wave	NOUN
brj-22082	74	22	and	and	CCONJ
brj-22082	74	23	the	the	DET
brj-22082	74	24	corresponding	corresponding	ADJ
brj-22082	74	25	internal	internal	ADJ
brj-22082	74	26	abnormal	abnormal	ADJ
brj-22082	74	27	characteristic	characteristic	ADJ
brj-22082	74	28	form	form	NOUN
brj-22082	74	29	was	be	AUX
brj-22082	74	30	reflected	reflect	VERB
brj-22082	74	31	clearly	clearly	ADV
brj-22082	74	32	.	.	PUNCT
brj-22082	75	1	red	red	ADJ
brj-22082	75	2	“	"	PUNCT
brj-22082	75	3	hits	hit	NOUN
brj-22082	75	4	”	"	PUNCT
brj-22082	75	5	are	be	AUX
brj-22082	75	6	reflections	reflection	NOUN
brj-22082	75	7	breaking	break	VERB
brj-22082	75	8	the	the	DET
brj-22082	75	9	threshold	threshold	NOUN
brj-22082	75	10	and	and	CCONJ
brj-22082	75	11	indicate	indicate	VERB
brj-22082	75	12	a	a	DET
brj-22082	75	13	defect	defect	ADJ
brj-22082	75	14	area	area	NOUN
brj-22082	75	15	.	.	PUNCT
brj-22082	76	1	finally	finally	ADV
brj-22082	76	2	,	,	PUNCT
brj-22082	76	3	a	a	DET
brj-22082	76	4	two	two	NUM
brj-22082	76	5	-	-	PUNCT
brj-22082	76	6	dimensional	dimensional	ADJ
brj-22082	76	7	image	image	NOUN
brj-22082	76	8	corresponding	correspond	VERB
brj-22082	76	9	to	to	ADP
brj-22082	76	10	the	the	DET
brj-22082	76	11	height	height	NOUN
brj-22082	76	12	of	of	ADP
brj-22082	76	13	the	the	DET
brj-22082	76	14	tree	tree	NOUN
brj-22082	76	15	trunk	trunk	NOUN
brj-22082	76	16	decay	decay	NOUN
brj-22082	76	17	was	be	AUX
brj-22082	76	18	generated	generate	VERB
brj-22082	76	19	(	(	PUNCT
brj-22082	76	20	fig	fig	NOUN
brj-22082	76	21	.	.	PUNCT
brj-22082	76	22	4	4	NUM
brj-22082	76	23	)	)	PUNCT
brj-22082	76	24	.	.	PUNCT
brj-22082	77	1	fig	fig	NOUN
brj-22082	77	2	.	.	PUNCT
brj-22082	78	1	3	3	NUM
brj-22082	78	2	.	.	X
brj-22082	78	3	b	b	X
brj-22082	78	4	-	-	PUNCT
brj-22082	78	5	scan	scan	ADJ
brj-22082	78	6	display	display	NOUN
brj-22082	78	7	peer	peer	NOUN
brj-22082	78	8	-	-	PUNCT
brj-22082	78	9	reviewed	review	VERB
brj-22082	78	10	article	article	NOUN
brj-22082	78	11	bioresources.com	bioresources.com	X
brj-22082	78	12	li	li	PROPN
brj-22082	78	13	et	et	PROPN
brj-22082	78	14	al	al	PROPN
brj-22082	78	15	.	.	PROPN
brj-22082	79	1	(	(	PUNCT
brj-22082	79	2	2022	2022	NUM
brj-22082	79	3	)	)	PUNCT
brj-22082	79	4	.	.	PUNCT
brj-22082	80	1	“	"	PUNCT
brj-22082	80	2	3d	3d	NUM
brj-22082	80	3	reconstruction	reconstruction	NOUN
brj-22082	80	4	of	of	ADP
brj-22082	80	5	tree	tree	NOUN
brj-22082	80	6	decay	decay	NOUN
brj-22082	80	7	,	,	PUNCT
brj-22082	80	8	”	"	PUNCT
brj-22082	80	9	bioresources	bioresource	NOUN
brj-22082	80	10	17(4	17(4	NUM
brj-22082	80	11	)	)	PUNCT
brj-22082	80	12	,	,	PUNCT
brj-22082	80	13	6277	6277	NUM
brj-22082	80	14	-	-	SYM
brj-22082	80	15	6292	6292	NUM
brj-22082	80	16	.	.	PUNCT
brj-22082	81	1	6281	6281	NUM
brj-22082	81	2	fig	fig	NOUN
brj-22082	81	3	.	.	PUNCT
brj-22082	82	1	4	4	X
brj-22082	82	2	.	.	X
brj-22082	82	3	2d	2d	NUM
brj-22082	82	4	image	image	NOUN
brj-22082	82	5	of	of	ADP
brj-22082	82	6	tree	tree	NOUN
brj-22082	82	7	decay	decay	NOUN
brj-22082	82	8	sequence	sequence	NOUN
brj-22082	82	9	,	,	PUNCT
brj-22082	82	10	(	(	PUNCT
brj-22082	82	11	a	a	PROPN
brj-22082	82	12	-	-	PUNCT
brj-22082	82	13	j	j	NOUN
brj-22082	82	14	)	)	PUNCT
brj-22082	82	15	are	be	AUX
brj-22082	82	16	the	the	DET
brj-22082	82	17	internal	internal	ADJ
brj-22082	82	18	defect	defect	ADJ
brj-22082	82	19	tomographic	tomographic	ADJ
brj-22082	82	20	images	image	NOUN
brj-22082	82	21	of	of	ADP
brj-22082	82	22	the	the	DET
brj-22082	82	23	trunk	trunk	NOUN
brj-22082	82	24	at	at	ADP
brj-22082	82	25	10	10	NUM
brj-22082	82	26	,	,	PUNCT
brj-22082	82	27	20	20	NUM
brj-22082	82	28	,	,	PUNCT
brj-22082	82	29	30	30	NUM
brj-22082	82	30	,	,	PUNCT
brj-22082	82	31	40	40	NUM
brj-22082	82	32	,	,	PUNCT
brj-22082	82	33	50	50	NUM
brj-22082	82	34	,	,	PUNCT
brj-22082	82	35	60	60	NUM
brj-22082	82	36	,	,	PUNCT
brj-22082	82	37	70	70	NUM
brj-22082	82	38	,	,	PUNCT
brj-22082	82	39	80	80	NUM
brj-22082	82	40	,	,	PUNCT
brj-22082	82	41	90	90	NUM
brj-22082	82	42	,	,	PUNCT
brj-22082	82	43	and	and	CCONJ
brj-22082	82	44	100	100	NUM
brj-22082	82	45	cm	cm	NOUN
brj-22082	82	46	gray	gray	ADJ
brj-22082	82	47	-	-	PUNCT
brj-22082	82	48	scale	scale	NOUN
brj-22082	82	49	image	image	NOUN
brj-22082	82	50	to	to	PART
brj-22082	82	51	avoid	avoid	VERB
brj-22082	82	52	the	the	DET
brj-22082	82	53	inconsistency	inconsistency	NOUN
brj-22082	82	54	of	of	ADP
brj-22082	82	55	the	the	DET
brj-22082	82	56	detector	detector	NOUN
brj-22082	82	57	or	or	CCONJ
brj-22082	82	58	the	the	DET
brj-22082	82	59	inconsistency	inconsistency	NOUN
brj-22082	82	60	of	of	ADP
brj-22082	82	61	time	time	NOUN
brj-22082	82	62	caused	cause	VERB
brj-22082	82	63	by	by	ADP
brj-22082	82	64	the	the	DET
brj-22082	82	65	uneven	uneven	ADJ
brj-22082	82	66	imaging	imaging	NOUN
brj-22082	82	67	of	of	ADP
brj-22082	82	68	the	the	DET
brj-22082	82	69	tomography	tomography	NOUN
brj-22082	82	70	and	and	CCONJ
brj-22082	82	71	the	the	DET
brj-22082	82	72	classification	classification	NOUN
brj-22082	82	73	of	of	ADP
brj-22082	82	74	the	the	DET
brj-22082	82	75	position	position	NOUN
brj-22082	82	76	and	and	CCONJ
brj-22082	82	77	grayscale	grayscale	NOUN
brj-22082	82	78	information	information	NOUN
brj-22082	82	79	between	between	ADP
brj-22082	82	80	these	these	DET
brj-22082	82	81	two	two	NUM
brj-22082	82	82	-	-	PUNCT
brj-22082	82	83	dimensional	dimensional	ADJ
brj-22082	82	84	images	image	NOUN
brj-22082	82	85	in	in	ADP
brj-22082	82	86	the	the	DET
brj-22082	82	87	subsequent	subsequent	ADJ
brj-22082	82	88	three	three	NUM
brj-22082	82	89	-	-	PUNCT
brj-22082	82	90	dimensional	dimensional	ADJ
brj-22082	82	91	reconstruction	reconstruction	NOUN
brj-22082	82	92	process	process	NOUN
brj-22082	82	93	,	,	PUNCT
brj-22082	82	94	the	the	DET
brj-22082	82	95	weighted	weighted	ADJ
brj-22082	82	96	average	average	ADJ
brj-22082	82	97	method	method	NOUN
brj-22082	82	98	was	be	AUX
brj-22082	82	99	used	use	VERB
brj-22082	82	100	for	for	ADP
brj-22082	82	101	image	image	NOUN
brj-22082	82	102	grayscale	grayscale	NOUN
brj-22082	82	103	processing	processing	NOUN
brj-22082	82	104	as	as	SCONJ
brj-22082	82	105	follows	follow	VERB
brj-22082	82	106	(	(	PUNCT
brj-22082	82	107	lu	lu	PROPN
brj-22082	82	108	2003	2003	NUM
brj-22082	82	109	;	;	PUNCT
brj-22082	82	110	liu	liu	PROPN
brj-22082	82	111	et	et	PROPN
brj-22082	82	112	al	al	PROPN
brj-22082	82	113	.	.	PROPN
brj-22082	82	114	2018	2018	NUM
brj-22082	82	115	)	)	PUNCT
brj-22082	82	116	.	.	PUNCT
brj-22082	83	1	bgrbgr	bgrbgr	NOUN
brj-22082	83	2	11.059.030.0	11.059.030.0	NUM
brj-22082	84	1	+	+	ADJ
brj-22082	84	2	+	+	ADJ
brj-22082	84	3	=	=	NOUN
brj-22082	84	4	=	=	SYM
brj-22082	84	5	=	=	SYM
brj-22082	84	6	(	(	PUNCT
brj-22082	84	7	3	3	NUM
brj-22082	84	8	)	)	PUNCT
brj-22082	84	9	where	where	SCONJ
brj-22082	84	10	r	r	NOUN
brj-22082	84	11	,	,	PUNCT
brj-22082	84	12	g	g	NOUN
brj-22082	84	13	,	,	PUNCT
brj-22082	84	14	and	and	CCONJ
brj-22082	84	15	b	b	X
brj-22082	84	16	represent	represent	VERB
brj-22082	84	17	the	the	DET
brj-22082	84	18	three	three	NUM
brj-22082	84	19	primary	primary	ADJ
brj-22082	84	20	colors	color	NOUN
brj-22082	84	21	of	of	ADP
brj-22082	84	22	red	red	ADJ
brj-22082	84	23	,	,	PUNCT
brj-22082	84	24	green	green	ADJ
brj-22082	84	25	,	,	PUNCT
brj-22082	84	26	and	and	CCONJ
brj-22082	84	27	blue	blue	ADJ
brj-22082	84	28	,	,	PUNCT
brj-22082	84	29	respectively	respectively	ADV
brj-22082	84	30	.	.	PUNCT
brj-22082	85	1	image	image	NOUN
brj-22082	85	2	enhancement	enhancement	NOUN
brj-22082	85	3	based	base	VERB
brj-22082	85	4	on	on	ADP
brj-22082	85	5	image	image	NOUN
brj-22082	85	6	grayscale	grayscale	NOUN
brj-22082	85	7	,	,	PUNCT
brj-22082	85	8	the	the	DET
brj-22082	85	9	image	image	NOUN
brj-22082	85	10	was	be	AUX
brj-22082	85	11	enhanced	enhance	VERB
brj-22082	85	12	by	by	ADP
brj-22082	85	13	the	the	DET
brj-22082	85	14	linear	linear	ADJ
brj-22082	85	15	grayscale	grayscale	NOUN
brj-22082	85	16	method	method	NOUN
brj-22082	85	17	,	,	PUNCT
brj-22082	85	18	and	and	CCONJ
brj-22082	85	19	the	the	DET
brj-22082	85	20	pixel	pixel	PROPN
brj-22082	85	21	values	value	NOUN
brj-22082	85	22	of	of	ADP
brj-22082	85	23	the	the	DET
brj-22082	85	24	image	image	NOUN
brj-22082	85	25	were	be	AUX
brj-22082	85	26	transformed	transform	VERB
brj-22082	85	27	by	by	ADP
brj-22082	85	28	the	the	DET
brj-22082	85	29	specified	specify	VERB
brj-22082	85	30	linear	linear	PROPN
brj-22082	85	31	function	function	NOUN
brj-22082	85	32	to	to	PART
brj-22082	85	33	enhance	enhance	VERB
brj-22082	85	34	the	the	DET
brj-22082	85	35	gray	gray	ADJ
brj-22082	85	36	level	level	NOUN
brj-22082	85	37	and	and	CCONJ
brj-22082	85	38	improve	improve	VERB
brj-22082	85	39	the	the	DET
brj-22082	85	40	overall	overall	ADJ
brj-22082	85	41	contrast	contrast	NOUN
brj-22082	85	42	of	of	ADP
brj-22082	85	43	the	the	DET
brj-22082	85	44	image	image	NOUN
brj-22082	85	45	(	(	PUNCT
brj-22082	85	46	quan	quan	PROPN
brj-22082	85	47	and	and	CCONJ
brj-22082	85	48	wang	wang	PROPN
brj-22082	85	49	2017	2017	NUM
brj-22082	85	50	)	)	PUNCT
brj-22082	85	51	.	.	PUNCT
brj-22082	86	1	if	if	SCONJ
brj-22082	86	2	x	x	PRON
brj-22082	86	3	is	be	AUX
brj-22082	86	4	the	the	DET
brj-22082	86	5	original	original	ADJ
brj-22082	86	6	gray	gray	ADJ
brj-22082	86	7	-	-	PUNCT
brj-22082	86	8	scale	scale	NOUN
brj-22082	86	9	value	value	NOUN
brj-22082	86	10	,	,	PUNCT
brj-22082	86	11	then	then	ADV
brj-22082	86	12	the	the	DET
brj-22082	86	13	changed	change	VERB
brj-22082	86	14	gray	gray	ADJ
brj-22082	86	15	-	-	PUNCT
brj-22082	86	16	scale	scale	NOUN
brj-22082	86	17	value	value	NOUN
brj-22082	86	18	y	y	PROPN
brj-22082	86	19	is	be	AUX
brj-22082	86	20	,	,	PUNCT
brj-22082	86	21	)	)	PUNCT
brj-22082	86	22	2550	2550	NUM
brj-22082	86	23	(	(	PUNCT
brj-22082	86	24	+=	+=	NUM
brj-22082	86	25	ydkxy	ydkxy	NOUN
brj-22082	86	26	(	(	PUNCT
brj-22082	86	27	4	4	NUM
brj-22082	86	28	)	)	PUNCT
brj-22082	86	29	where	where	SCONJ
brj-22082	86	30	k	k	PROPN
brj-22082	86	31	is	be	AUX
brj-22082	86	32	the	the	DET
brj-22082	86	33	degree	degree	NOUN
brj-22082	86	34	of	of	ADP
brj-22082	86	35	inclination	inclination	NOUN
brj-22082	86	36	and	and	CCONJ
brj-22082	86	37	d	d	NOUN
brj-22082	86	38	is	be	AUX
brj-22082	86	39	the	the	DET
brj-22082	86	40	slope	slope	NOUN
brj-22082	86	41	of	of	ADP
brj-22082	86	42	the	the	DET
brj-22082	86	43	linear	linear	ADJ
brj-22082	86	44	function	function	NOUN
brj-22082	86	45	on	on	ADP
brj-22082	86	46	the	the	DET
brj-22082	86	47	y	y	NOUN
brj-22082	86	48	-	-	PUNCT
brj-22082	86	49	axis	axis	NOUN
brj-22082	86	50	.	.	PUNCT
brj-22082	87	1	according	accord	VERB
brj-22082	87	2	to	to	ADP
brj-22082	87	3	the	the	DET
brj-22082	87	4	morphology	morphology	NOUN
brj-22082	87	5	of	of	ADP
brj-22082	87	6	each	each	DET
brj-22082	87	7	internal	internal	ADJ
brj-22082	87	8	information	information	NOUN
brj-22082	87	9	and	and	CCONJ
brj-22082	87	10	whether	whether	SCONJ
brj-22082	87	11	the	the	DET
brj-22082	87	12	interrelationship	interrelationship	NOUN
brj-22082	87	13	between	between	ADP
brj-22082	87	14	them	they	PRON
brj-22082	87	15	was	be	AUX
brj-22082	87	16	clearly	clearly	ADV
brj-22082	87	17	reflected	reflect	VERB
brj-22082	87	18	,	,	PUNCT
brj-22082	87	19	the	the	DET
brj-22082	87	20	image	image	NOUN
brj-22082	87	21	grayscale	grayscale	NOUN
brj-22082	87	22	and	and	CCONJ
brj-22082	87	23	image	image	NOUN
brj-22082	87	24	enhancement	enhancement	NOUN
brj-22082	87	25	processing	processing	NOUN
brj-22082	87	26	effect	effect	NOUN
brj-22082	87	27	was	be	AUX
brj-22082	87	28	used	use	VERB
brj-22082	87	29	to	to	PART
brj-22082	87	30	evaluate	evaluate	VERB
brj-22082	87	31	the	the	DET
brj-22082	87	32	advantages	advantage	NOUN
brj-22082	87	33	and	and	CCONJ
brj-22082	87	34	disadvantages	disadvantage	NOUN
brj-22082	87	35	of	of	ADP
brj-22082	87	36	the	the	DET
brj-22082	87	37	image	image	NOUN
brj-22082	87	38	with	with	ADP
brj-22082	87	39	a	a	DET
brj-22082	87	40	person	person	NOUN
brj-22082	87	41	as	as	ADP
brj-22082	87	42	an	an	DET
brj-22082	87	43	observer	observer	NOUN
brj-22082	87	44	,	,	PUNCT
brj-22082	87	45	so	so	CCONJ
brj-22082	87	46	there	there	PRON
brj-22082	87	47	was	be	VERB
brj-22082	87	48	no	no	DET
brj-22082	87	49	general	general	ADJ
brj-22082	87	50	quantitative	quantitative	ADJ
brj-22082	87	51	standard	standard	NOUN
brj-22082	87	52	(	(	PUNCT
brj-22082	87	53	su	su	PROPN
brj-22082	87	54	2007	2007	NUM
brj-22082	87	55	;	;	PUNCT
brj-22082	87	56	sheng	sheng	PROPN
brj-22082	87	57	and	and	CCONJ
brj-22082	87	58	gong	gong	NOUN
brj-22082	87	59	2019	2019	NUM
brj-22082	87	60	)	)	PUNCT
brj-22082	87	61	.	.	PUNCT
brj-22082	88	1	image	image	NOUN
brj-22082	88	2	interpolation	interpolation	NOUN
brj-22082	88	3	unlike	unlike	ADP
brj-22082	88	4	the	the	DET
brj-22082	88	5	scanning	scanning	NOUN
brj-22082	88	6	equipment	equipment	NOUN
brj-22082	88	7	such	such	ADJ
brj-22082	88	8	as	as	ADP
brj-22082	88	9	ct	ct	PROPN
brj-22082	88	10	,	,	PUNCT
brj-22082	88	11	the	the	DET
brj-22082	88	12	image	image	NOUN
brj-22082	88	13	data	datum	NOUN
brj-22082	88	14	obtained	obtain	VERB
brj-22082	88	15	by	by	ADP
brj-22082	88	16	tru	tru	PROPN
brj-22082	88	17	tree	tree	NOUN
brj-22082	88	18	radar	radar	NOUN
brj-22082	88	19	scanning	scanning	NOUN
brj-22082	88	20	is	be	AUX
brj-22082	88	21	more	more	ADV
brj-22082	88	22	affected	affect	VERB
brj-22082	88	23	by	by	ADP
brj-22082	88	24	the	the	DET
brj-22082	88	25	uncontrollable	uncontrollable	ADJ
brj-22082	88	26	factors	factor	NOUN
brj-22082	88	27	of	of	ADP
brj-22082	88	28	the	the	DET
brj-22082	88	29	detection	detection	NOUN
brj-22082	88	30	equipment	equipment	NOUN
brj-22082	88	31	and	and	CCONJ
brj-22082	88	32	the	the	DET
brj-22082	88	33	operators	operator	NOUN
brj-22082	88	34	on	on	ADP
brj-22082	88	35	the	the	DET
brj-22082	88	36	data	data	NOUN
brj-22082	88	37	acquisition	acquisition	NOUN
brj-22082	88	38	site	site	NOUN
brj-22082	88	39	.	.	PUNCT
brj-22082	89	1	the	the	DET
brj-22082	89	2	distance	distance	NOUN
brj-22082	89	3	between	between	ADP
brj-22082	89	4	two	two	NUM
brj-22082	89	5	adjacent	adjacent	ADJ
brj-22082	89	6	tomographic	tomographic	ADJ
brj-22082	89	7	images	image	NOUN
brj-22082	89	8	is	be	AUX
brj-22082	89	9	much	much	ADV
brj-22082	89	10	larger	large	ADJ
brj-22082	89	11	than	than	ADP
brj-22082	89	12	the	the	DET
brj-22082	89	13	distance	distance	NOUN
brj-22082	89	14	between	between	ADP
brj-22082	89	15	two	two	NUM
brj-22082	89	16	adjacent	adjacent	ADJ
brj-22082	89	17	pixels	pixel	NOUN
brj-22082	89	18	in	in	ADP
brj-22082	89	19	the	the	DET
brj-22082	89	20	same	same	ADJ
brj-22082	89	21	tomographic	tomographic	ADJ
brj-22082	89	22	image	image	NOUN
brj-22082	89	23	.	.	PUNCT
brj-22082	90	1	inevitably	inevitably	ADV
brj-22082	90	2	there	there	PRON
brj-22082	90	3	is	be	VERB
brj-22082	90	4	data	datum	NOUN
brj-22082	90	5	loss	loss	NOUN
brj-22082	90	6	,	,	PUNCT
brj-22082	90	7	so	so	CCONJ
brj-22082	90	8	the	the	DET
brj-22082	90	9	reconstructed	reconstructed	ADJ
brj-22082	90	10	3d	3d	NUM
brj-22082	90	11	model	model	NOUN
brj-22082	90	12	is	be	AUX
brj-22082	90	13	quite	quite	ADV
brj-22082	90	14	different	different	ADJ
brj-22082	90	15	from	from	ADP
brj-22082	90	16	the	the	DET
brj-22082	90	17	real	real	ADJ
brj-22082	90	18	object	object	NOUN
brj-22082	90	19	.	.	PUNCT
brj-22082	91	1	therefore	therefore	ADV
brj-22082	91	2	,	,	PUNCT
brj-22082	91	3	it	it	PRON
brj-22082	91	4	is	be	AUX
brj-22082	91	5	necessary	necessary	ADJ
brj-22082	91	6	to	to	PART
brj-22082	91	7	interpolate	interpolate	VERB
brj-22082	91	8	the	the	DET
brj-22082	91	9	area	area	NOUN
brj-22082	91	10	between	between	ADP
brj-22082	91	11	the	the	DET
brj-22082	91	12	upper	upper	ADJ
brj-22082	91	13	and	and	CCONJ
brj-22082	91	14	lower	low	ADJ
brj-22082	91	15	layers	layer	NOUN
brj-22082	91	16	of	of	ADP
brj-22082	91	17	the	the	DET
brj-22082	91	18	trunk	trunk	NOUN
brj-22082	91	19	defect	defect	NOUN
brj-22082	91	20	tomography	tomography	NOUN
brj-22082	91	21	image	image	NOUN
brj-22082	91	22	.	.	PUNCT
brj-22082	92	1	linear	linear	ADJ
brj-22082	92	2	interpolation	interpolation	NOUN
brj-22082	92	3	was	be	AUX
brj-22082	92	4	used	use	VERB
brj-22082	92	5	to	to	PART
brj-22082	92	6	interpolate	interpolate	VERB
brj-22082	92	7	between	between	ADP
brj-22082	92	8	original	original	ADJ
brj-22082	92	9	images	image	NOUN
brj-22082	92	10	,	,	PUNCT
brj-22082	92	11	generate	generate	VERB
brj-22082	92	12	new	new	ADJ
brj-22082	92	13	transition	transition	NOUN
brj-22082	92	14	images	image	NOUN
brj-22082	92	15	,	,	PUNCT
brj-22082	92	16	and	and	CCONJ
brj-22082	92	17	perform	perform	VERB
brj-22082	92	18	peer	peer	NOUN
brj-22082	92	19	-	-	PUNCT
brj-22082	92	20	reviewed	review	VERB
brj-22082	92	21	article	article	NOUN
brj-22082	92	22	bioresources.com	bioresources.com	X
brj-22082	92	23	li	li	PROPN
brj-22082	92	24	et	et	PROPN
brj-22082	92	25	al	al	PROPN
brj-22082	92	26	.	.	PROPN
brj-22082	93	1	(	(	PUNCT
brj-22082	93	2	2022	2022	NUM
brj-22082	93	3	)	)	PUNCT
brj-22082	93	4	.	.	PUNCT
brj-22082	94	1	“	"	PUNCT
brj-22082	94	2	3d	3d	NUM
brj-22082	94	3	reconstruction	reconstruction	NOUN
brj-22082	94	4	of	of	ADP
brj-22082	94	5	tree	tree	NOUN
brj-22082	94	6	decay	decay	NOUN
brj-22082	94	7	,	,	PUNCT
brj-22082	94	8	”	"	PUNCT
brj-22082	94	9	bioresources	bioresource	NOUN
brj-22082	94	10	17(4	17(4	NUM
brj-22082	94	11	)	)	PUNCT
brj-22082	94	12	,	,	PUNCT
brj-22082	94	13	6277	6277	NUM
brj-22082	94	14	-	-	SYM
brj-22082	94	15	6292	6292	NUM
brj-22082	94	16	.	.	PUNCT
brj-22082	95	1	6282	6282	NUM
brj-22082	95	2	a	a	DET
brj-22082	95	3	second	second	ADJ
brj-22082	95	4	interpolation	interpolation	NOUN
brj-22082	95	5	between	between	ADP
brj-22082	95	6	the	the	DET
brj-22082	95	7	interpolated	interpolate	VERB
brj-22082	95	8	image	image	NOUN
brj-22082	95	9	and	and	CCONJ
brj-22082	95	10	the	the	DET
brj-22082	95	11	original	original	ADJ
brj-22082	95	12	image	image	NOUN
brj-22082	95	13	to	to	PART
brj-22082	95	14	solve	solve	VERB
brj-22082	95	15	the	the	DET
brj-22082	95	16	problem	problem	NOUN
brj-22082	95	17	of	of	ADP
brj-22082	95	18	large	large	ADJ
brj-22082	95	19	image	image	NOUN
brj-22082	95	20	spacing	spacing	NOUN
brj-22082	95	21	and	and	CCONJ
brj-22082	95	22	obvious	obvious	ADJ
brj-22082	95	23	staircase	staircase	NOUN
brj-22082	95	24	phenomenon	phenomenon	NOUN
brj-22082	95	25	.	.	PUNCT
brj-22082	96	1	suppose	suppose	VERB
brj-22082	96	2	that	that	PRON
brj-22082	96	3	)	)	PUNCT
brj-22082	96	4	,	,	PUNCT
brj-22082	96	5	,	,	PUNCT
brj-22082	96	6	(	(	PUNCT
brj-22082	96	7	kiik	kiik	PROPN
brj-22082	96	8	zyxs	zyxs	PROPN
brj-22082	96	9	and	and	CCONJ
brj-22082	96	10	)	)	PUNCT
brj-22082	96	11	,	,	PUNCT
brj-22082	96	12	,	,	PUNCT
brj-22082	96	13	(	(	PUNCT
brj-22082	96	14	11	11	NUM
brj-22082	96	15	+	+	ADJ
brj-22082	96	16	+	+	CCONJ
brj-22082	96	17	kiik	kiik	ADJ
brj-22082	96	18	zyxs	zyxs	PROPN
brj-22082	96	19	represent	represent	VERB
brj-22082	96	20	two	two	NUM
brj-22082	96	21	images	image	NOUN
brj-22082	96	22	to	to	PART
brj-22082	96	23	be	be	AUX
brj-22082	96	24	interpolated	interpolate	VERB
brj-22082	96	25	,	,	PUNCT
brj-22082	96	26	)	)	PUNCT
brj-22082	96	27	,	,	PUNCT
brj-22082	96	28	,	,	PUNCT
brj-22082	96	29	(	(	PUNCT
brj-22082	96	30	dkiidk	dkiidk	NOUN
brj-22082	96	31	zyxs	zyxs	VERB
brj-22082	96	32	+	+	PUNCT
brj-22082	96	33	+	+	PROPN
brj-22082	96	34	represents	represent	VERB
brj-22082	96	35	the	the	DET
brj-22082	96	36	intermediate	intermediate	ADJ
brj-22082	96	37	image	image	NOUN
brj-22082	96	38	to	to	PART
brj-22082	96	39	be	be	AUX
brj-22082	96	40	constructed	construct	VERB
brj-22082	96	41	by	by	ADP
brj-22082	96	42	interlayer	interlayer	NOUN
brj-22082	96	43	interpolation	interpolation	NOUN
brj-22082	96	44	,	,	PUNCT
brj-22082	96	45	and	and	CCONJ
brj-22082	96	46	linear	linear	ADJ
brj-22082	96	47	interpolation	interpolation	NOUN
brj-22082	96	48	is	be	AUX
brj-22082	96	49	used	use	VERB
brj-22082	96	50	.	.	PUNCT
brj-22082	97	1	meanwhile	meanwhile	ADV
brj-22082	97	2	,	,	PUNCT
brj-22082	97	3	kp	kp	PROPN
brj-22082	97	4	and	and	CCONJ
brj-22082	97	5	1+kp	1+kp	NUM
brj-22082	97	6	represent	represent	VERB
brj-22082	97	7	two	two	NUM
brj-22082	97	8	corresponding	corresponding	ADJ
brj-22082	97	9	points	point	NOUN
brj-22082	97	10	on	on	ADP
brj-22082	97	11	ks	ks	PROPN
brj-22082	97	12	and	and	CCONJ
brj-22082	97	13	1+ks	1+ks	NUM
brj-22082	97	14	,	,	PUNCT
brj-22082	97	15	respectively	respectively	ADV
brj-22082	97	16	,	,	PUNCT
brj-22082	97	17	then	then	ADV
brj-22082	97	18	the	the	DET
brj-22082	97	19	gray	gray	ADJ
brj-22082	97	20	value	value	NOUN
brj-22082	97	21	)	)	PUNCT
brj-22082	97	22	(	(	PUNCT
brj-22082	97	23	dkpf	dkpf	NOUN
brj-22082	97	24	+	+	CCONJ
brj-22082	97	25	of	of	ADP
brj-22082	97	26	the	the	DET
brj-22082	97	27	corresponding	corresponding	ADJ
brj-22082	97	28	point	point	NOUN
brj-22082	97	29	dkp	dkp	NOUN
brj-22082	97	30	+	+	X
brj-22082	97	31	on	on	ADP
brj-22082	97	32	dks	dks	NOUN
brj-22082	97	33	+	+	CCONJ
brj-22082	97	34	is	be	AUX
brj-22082	97	35	:	:	PUNCT
brj-22082	97	36	)	)	PUNCT
brj-22082	97	37	(	(	PUNCT
brj-22082	97	38	)	)	PUNCT
brj-22082	97	39	(	(	PUNCT
brj-22082	97	40	)	)	PUNCT
brj-22082	97	41	1	1	NUM
brj-22082	97	42	(	(	PUNCT
brj-22082	97	43	)	)	PUNCT
brj-22082	97	44	(	(	PUNCT
brj-22082	97	45	1++	1++	NUM
brj-22082	97	46	+	+	NOUN
brj-22082	97	47	−=	−=	ADJ
brj-22082	97	48	kkdk	kkdk	PROPN
brj-22082	97	49	pdfpfdpf	pdfpfdpf	NOUN
brj-22082	97	50	(	(	PUNCT
brj-22082	97	51	5	5	NUM
brj-22082	97	52	)	)	PUNCT
brj-22082	97	53	surface	surface	NOUN
brj-22082	97	54	rendering	rendering	NOUN
brj-22082	97	55	method	method	NOUN
brj-22082	97	56	the	the	DET
brj-22082	97	57	surface	surface	NOUN
brj-22082	97	58	drawing	drawing	NOUN
brj-22082	97	59	method	method	NOUN
brj-22082	97	60	is	be	AUX
brj-22082	97	61	a	a	DET
brj-22082	97	62	method	method	NOUN
brj-22082	97	63	that	that	PRON
brj-22082	97	64	generates	generate	VERB
brj-22082	97	65	the	the	DET
brj-22082	97	66	intermediate	intermediate	ADJ
brj-22082	97	67	geometric	geometric	ADJ
brj-22082	97	68	unit	unit	NOUN
brj-22082	97	69	by	by	ADP
brj-22082	97	70	extracting	extract	VERB
brj-22082	97	71	the	the	DET
brj-22082	97	72	isosurface	isosurface	NOUN
brj-22082	97	73	of	of	ADP
brj-22082	97	74	the	the	DET
brj-22082	97	75	3d	3d	PROPN
brj-22082	97	76	volume	volume	NOUN
brj-22082	97	77	data	datum	NOUN
brj-22082	97	78	of	of	ADP
brj-22082	97	79	the	the	DET
brj-22082	97	80	image	image	NOUN
brj-22082	97	81	sequence	sequence	NOUN
brj-22082	97	82	.	.	PUNCT
brj-22082	98	1	then	then	ADV
brj-22082	98	2	they	they	PRON
brj-22082	98	3	were	be	AUX
brj-22082	98	4	reproduced	reproduce	VERB
brj-22082	98	5	by	by	ADP
brj-22082	98	6	traditional	traditional	ADJ
brj-22082	98	7	computer	computer	NOUN
brj-22082	98	8	graphics	graphic	NOUN
brj-22082	98	9	technology	technology	NOUN
brj-22082	98	10	(	(	PUNCT
brj-22082	98	11	li	li	PROPN
brj-22082	98	12	2008	2008	NUM
brj-22082	98	13	)	)	PUNCT
brj-22082	98	14	.	.	PUNCT
brj-22082	99	1	there	there	PRON
brj-22082	99	2	are	be	VERB
brj-22082	99	3	many	many	ADJ
brj-22082	99	4	algorithms	algorithm	NOUN
brj-22082	99	5	for	for	ADP
brj-22082	99	6	surface	surface	NOUN
brj-22082	99	7	drawing	drawing	NOUN
brj-22082	99	8	.	.	PUNCT
brj-22082	100	1	the	the	DET
brj-22082	100	2	difference	difference	NOUN
brj-22082	100	3	between	between	ADP
brj-22082	100	4	the	the	DET
brj-22082	100	5	algorithms	algorithm	NOUN
brj-22082	100	6	lies	lie	VERB
brj-22082	100	7	in	in	ADP
brj-22082	100	8	the	the	DET
brj-22082	100	9	different	different	ADJ
brj-22082	100	10	geometric	geometric	ADJ
brj-22082	100	11	units	unit	NOUN
brj-22082	100	12	used	use	VERB
brj-22082	100	13	to	to	PART
brj-22082	100	14	approximate	approximate	VERB
brj-22082	100	15	the	the	DET
brj-22082	100	16	surface	surface	NOUN
brj-22082	100	17	or	or	CCONJ
brj-22082	100	18	the	the	DET
brj-22082	100	19	selection	selection	NOUN
brj-22082	100	20	of	of	ADP
brj-22082	100	21	geometric	geometric	ADJ
brj-22082	100	22	unit	unit	NOUN
brj-22082	100	23	scales	scale	NOUN
brj-22082	100	24	.	.	PUNCT
brj-22082	101	1	currently	currently	ADV
brj-22082	101	2	,	,	PUNCT
brj-22082	101	3	the	the	DET
brj-22082	101	4	most	most	ADV
brj-22082	101	5	used	used	ADJ
brj-22082	101	6	algorithm	algorithm	NOUN
brj-22082	101	7	is	be	AUX
brj-22082	101	8	the	the	DET
brj-22082	101	9	triangle	triangle	NOUN
brj-22082	101	10	as	as	ADP
brj-22082	101	11	the	the	DET
brj-22082	101	12	fitting	fitting	ADJ
brj-22082	101	13	unit	unit	NOUN
brj-22082	101	14	.	.	PUNCT
brj-22082	102	1	when	when	SCONJ
brj-22082	102	2	using	use	VERB
brj-22082	102	3	the	the	DET
brj-22082	102	4	connected	connected	ADJ
brj-22082	102	5	outline	outline	NOUN
brj-22082	102	6	method	method	NOUN
brj-22082	102	7	for	for	ADP
brj-22082	102	8	surface	surface	NOUN
brj-22082	102	9	drawing	drawing	NOUN
brj-22082	102	10	,	,	PUNCT
brj-22082	102	11	the	the	DET
brj-22082	102	12	image	image	NOUN
brj-22082	102	13	is	be	AUX
brj-22082	102	14	first	first	ADV
brj-22082	102	15	divided	divide	VERB
brj-22082	102	16	into	into	ADP
brj-22082	102	17	several	several	ADJ
brj-22082	102	18	characteristic	characteristic	ADJ
brj-22082	102	19	regions	region	NOUN
brj-22082	102	20	by	by	ADP
brj-22082	102	21	“	"	PUNCT
brj-22082	102	22	canny	canny	ADJ
brj-22082	102	23	”	"	PUNCT
brj-22082	102	24	edge	edge	NOUN
brj-22082	102	25	detection	detection	NOUN
brj-22082	102	26	differential	differential	NOUN
brj-22082	102	27	operator	operator	NOUN
brj-22082	102	28	(	(	PUNCT
brj-22082	102	29	xia	xia	PROPN
brj-22082	102	30	et	et	PROPN
brj-22082	102	31	al	al	PROPN
brj-22082	102	32	.	.	PROPN
brj-22082	102	33	2017	2017	NUM
brj-22082	102	34	)	)	PUNCT
brj-22082	102	35	,	,	PUNCT
brj-22082	102	36	and	and	CCONJ
brj-22082	102	37	then	then	ADV
brj-22082	102	38	the	the	DET
brj-22082	102	39	contours	contours	NOUN
brj-22082	102	40	of	of	ADP
brj-22082	102	41	each	each	DET
brj-22082	102	42	layer	layer	NOUN
brj-22082	102	43	are	be	AUX
brj-22082	102	44	extracted	extract	VERB
brj-22082	102	45	.	.	PUNCT
brj-22082	103	1	finally	finally	ADV
brj-22082	103	2	,	,	PUNCT
brj-22082	103	3	the	the	DET
brj-22082	103	4	contours	contours	NOUN
brj-22082	103	5	of	of	ADP
brj-22082	103	6	each	each	DET
brj-22082	103	7	layer	layer	NOUN
brj-22082	103	8	are	be	AUX
brj-22082	103	9	connected	connect	VERB
brj-22082	103	10	by	by	ADP
brj-22082	103	11	triangles	triangle	NOUN
brj-22082	103	12	with	with	ADP
brj-22082	103	13	the	the	DET
brj-22082	103	14	points	point	NOUN
brj-22082	103	15	on	on	ADP
brj-22082	103	16	the	the	DET
brj-22082	103	17	contour	contour	NOUN
brj-22082	103	18	lines	line	NOUN
brj-22082	103	19	as	as	ADP
brj-22082	103	20	vertices	vertex	NOUN
brj-22082	103	21	to	to	PART
brj-22082	103	22	piece	piece	NOUN
brj-22082	103	23	together	together	ADV
brj-22082	103	24	the	the	DET
brj-22082	103	25	object	object	NOUN
brj-22082	103	26	surface	surface	NOUN
brj-22082	103	27	(	(	PUNCT
brj-22082	103	28	liu	liu	PROPN
brj-22082	103	29	2006	2006	NUM
brj-22082	103	30	)	)	PUNCT
brj-22082	103	31	.	.	PUNCT
brj-22082	104	1	volume	volume	NOUN
brj-22082	104	2	rendering	rendering	NOUN
brj-22082	104	3	method	method	NOUN
brj-22082	104	4	the	the	DET
brj-22082	104	5	volume	volume	NOUN
brj-22082	104	6	rendering	rendering	NOUN
brj-22082	104	7	method	method	NOUN
brj-22082	104	8	assigns	assign	VERB
brj-22082	104	9	a	a	DET
brj-22082	104	10	certain	certain	ADJ
brj-22082	104	11	brightness	brightness	NOUN
brj-22082	104	12	and	and	CCONJ
brj-22082	104	13	opacity	opacity	NOUN
brj-22082	104	14	to	to	ADP
brj-22082	104	15	the	the	DET
brj-22082	104	16	voxel	voxel	PROPN
brj-22082	104	17	and	and	CCONJ
brj-22082	104	18	then	then	ADV
brj-22082	104	19	uses	use	VERB
brj-22082	104	20	the	the	DET
brj-22082	104	21	optical	optical	ADJ
brj-22082	104	22	principle	principle	NOUN
brj-22082	104	23	to	to	PART
brj-22082	104	24	project	project	VERB
brj-22082	104	25	it	it	PRON
brj-22082	104	26	onto	onto	ADP
brj-22082	104	27	the	the	DET
brj-22082	104	28	plane	plane	NOUN
brj-22082	104	29	.	.	PUNCT
brj-22082	105	1	the	the	DET
brj-22082	105	2	basic	basic	ADJ
brj-22082	105	3	principle	principle	NOUN
brj-22082	105	4	of	of	ADP
brj-22082	105	5	3d	3d	PROPN
brj-22082	105	6	reconstruction	reconstruction	NOUN
brj-22082	105	7	by	by	ADP
brj-22082	105	8	volume	volume	NOUN
brj-22082	105	9	rendering	rendering	NOUN
brj-22082	105	10	begins	begin	VERB
brj-22082	105	11	with	with	ADP
brj-22082	105	12	constructing	construct	VERB
brj-22082	105	13	an	an	DET
brj-22082	105	14	idealized	idealized	ADJ
brj-22082	105	15	physical	physical	ADJ
brj-22082	105	16	vision	vision	NOUN
brj-22082	105	17	model	model	NOUN
brj-22082	105	18	according	accord	VERB
brj-22082	105	19	to	to	ADP
brj-22082	105	20	the	the	DET
brj-22082	105	21	principle	principle	NOUN
brj-22082	105	22	of	of	ADP
brj-22082	105	23	visual	visual	ADJ
brj-22082	105	24	imaging	imaging	NOUN
brj-22082	105	25	;	;	PUNCT
brj-22082	105	26	that	that	PRON
brj-22082	105	27	is	is	ADV
brj-22082	105	28	,	,	PUNCT
brj-22082	105	29	each	each	DET
brj-22082	105	30	voxel	voxel	PROPN
brj-22082	105	31	is	be	AUX
brj-22082	105	32	a	a	DET
brj-22082	105	33	particle	particle	NOUN
brj-22082	105	34	,	,	PUNCT
brj-22082	105	35	which	which	PRON
brj-22082	105	36	can	can	AUX
brj-22082	105	37	transmit	transmit	VERB
brj-22082	105	38	,	,	PUNCT
brj-22082	105	39	emit	emit	NOUN
brj-22082	105	40	,	,	PUNCT
brj-22082	105	41	and	and	CCONJ
brj-22082	105	42	reflect	reflect	VERB
brj-22082	105	43	light	light	NOUN
brj-22082	105	44	.	.	PUNCT
brj-22082	106	1	according	accord	VERB
brj-22082	106	2	to	to	ADP
brj-22082	106	3	the	the	DET
brj-22082	106	4	gradient	gradient	NOUN
brj-22082	106	5	,	,	PUNCT
brj-22082	106	6	the	the	DET
brj-22082	106	7	light	light	ADJ
brj-22082	106	8	intensity	intensity	NOUN
brj-22082	106	9	of	of	ADP
brj-22082	106	10	each	each	DET
brj-22082	106	11	data	datum	NOUN
brj-22082	106	12	point	point	NOUN
brj-22082	106	13	is	be	AUX
brj-22082	106	14	calculated	calculate	VERB
brj-22082	106	15	,	,	PUNCT
brj-22082	106	16	accumulating	accumulate	VERB
brj-22082	106	17	the	the	DET
brj-22082	106	18	translucent	translucent	ADJ
brj-22082	106	19	color	color	NOUN
brj-22082	106	20	value	value	NOUN
brj-22082	106	21	of	of	ADP
brj-22082	106	22	each	each	DET
brj-22082	106	23	data	datum	NOUN
brj-22082	106	24	projected	project	VERB
brj-22082	106	25	to	to	ADP
brj-22082	106	26	the	the	DET
brj-22082	106	27	same	same	ADJ
brj-22082	106	28	pixel	pixel	NOUN
brj-22082	106	29	on	on	ADP
brj-22082	106	30	the	the	DET
brj-22082	106	31	image	image	NOUN
brj-22082	106	32	plane	plane	NOUN
brj-22082	106	33	.	.	PUNCT
brj-22082	107	1	from	from	ADP
brj-22082	107	2	the	the	DET
brj-22082	107	3	initial	initial	ADJ
brj-22082	107	4	processing	processing	NOUN
brj-22082	107	5	,	,	PUNCT
brj-22082	107	6	the	the	DET
brj-22082	107	7	results	result	NOUN
brj-22082	107	8	get	get	VERB
brj-22082	107	9	a	a	DET
brj-22082	107	10	processed	process	VERB
brj-22082	107	11	image	image	NOUN
brj-22082	107	12	(	(	PUNCT
brj-22082	107	13	levoy	levoy	NOUN
brj-22082	107	14	1988	1988	NUM
brj-22082	107	15	)	)	PUNCT
brj-22082	107	16	.	.	PUNCT
brj-22082	108	1	assuming	assume	VERB
brj-22082	108	2	that	that	SCONJ
brj-22082	108	3	the	the	DET
brj-22082	108	4	light	light	NOUN
brj-22082	108	5	propagates	propagate	VERB
brj-22082	108	6	in	in	ADP
brj-22082	108	7	the	the	DET
brj-22082	108	8			PROPN
brj-22082	108	9			ADJ
brj-22082	108	10	direction	direction	NOUN
brj-22082	108	11	at	at	ADP
brj-22082	108	12	the	the	DET
brj-22082	108	13	r	r	NOUN
brj-22082	108	14	point	point	NOUN
brj-22082	108	15	in	in	ADP
brj-22082	108	16	the	the	DET
brj-22082	108	17	volume	volume	NOUN
brj-22082	108	18	data	datum	NOUN
brj-22082	108	19	,	,	PUNCT
brj-22082	108	20	and	and	CCONJ
brj-22082	108	21	the	the	DET
brj-22082	108	22	direction	direction	NOUN
brj-22082	108	23	range	range	NOUN
brj-22082	108	24	is	be	AUX
brj-22082	108	25	s2	s2	PROPN
brj-22082	108	26	,	,	PUNCT
brj-22082	108	27	the	the	DET
brj-22082	108	28	brightness	brightness	NOUN
brj-22082	108	29	formula	formula	NOUN
brj-22082	108	30	is	be	AUX
brj-22082	108	31	(	(	PUNCT
brj-22082	108	32	deng	deng	PROPN
brj-22082	108	33	et	et	PROPN
brj-22082	108	34	al	al	PROPN
brj-22082	108	35	.	.	PROPN
brj-22082	108	36	2012	2012	NUM
brj-22082	108	37	)	)	PUNCT
brj-22082	108	38	as	as	SCONJ
brj-22082	108	39	follows	follow	VERB
brj-22082	108	40	,	,	PUNCT
brj-22082	108	41			PROPN
brj-22082	108	42	drlrkrrrl	drlrkrrrl	PROPN
brj-22082	108	43	st	st	PROPN
brj-22082	108	44	)	)	PUNCT
brj-22082	108	45	,	,	PUNCT
brj-22082	108	46	[	[	X
brj-22082	108	47	(	(	PUNCT
brj-22082	108	48	)	)	PUNCT
brj-22082	108	49	'	'	NUM
brj-22082	108	50	,	,	PUNCT
brj-22082	108	51	(	(	PUNCT
brj-22082	108	52	)	)	PUNCT
brj-22082	108	53	,	,	PUNCT
brj-22082	108	54	(	(	PUNCT
brj-22082	108	55	)	)	PUNCT
brj-22082	108	56	,	,	PUNCT
brj-22082	108	57	(	(	PUNCT
brj-22082	108	58	)	)	PUNCT
brj-22082	108	59	,	,	PUNCT
brj-22082	108	60	(	(	PUNCT
brj-22082	108	61	2	2	NUM
brj-22082	108	62			NOUN
brj-22082	108	63	→++−=	→++−=	NUM
brj-22082	108	64			X
brj-22082	108	65	(	(	PUNCT
brj-22082	108	66	6	6	NUM
brj-22082	108	67	)	)	PUNCT
brj-22082	108	68	where	where	SCONJ
brj-22082	108	69	)	)	PUNCT
brj-22082	108	70	(	(	PUNCT
brj-22082	108	71	rt	rt	NOUN
brj-22082	108	72	is	be	AUX
brj-22082	108	73	the	the	DET
brj-22082	108	74	absorption	absorption	NOUN
brj-22082	108	75	coefficient	coefficient	NOUN
brj-22082	108	76	,	,	PUNCT
brj-22082	108	77	)	)	PUNCT
brj-22082	108	78	,	,	PUNCT
brj-22082	108	79	(	(	PUNCT
brj-22082	108	80			PROPN
brj-22082	108	81			ADP
brj-22082	108	82	r	r	NOUN
brj-22082	108	83	is	be	AUX
brj-22082	108	84	the	the	DET
brj-22082	108	85	scattering	scatter	VERB
brj-22082	108	86	equation	equation	NOUN
brj-22082	108	87	,	,	PUNCT
brj-22082	108	88	and	and	CCONJ
brj-22082	108	89	)	)	PUNCT
brj-22082	108	90	,	,	PUNCT
brj-22082	108	91	(	(	PUNCT
brj-22082	108	92			ADP
brj-22082	108	93			ADV
brj-22082	108	94	→rk	→rk	PUNCT
brj-22082	108	95	is	be	AUX
brj-22082	108	96	the	the	DET
brj-22082	108	97	scattering	scatter	VERB
brj-22082	108	98	nucleus	nucleus	NOUN
brj-22082	108	99	.	.	PUNCT
brj-22082	109	1	the	the	DET
brj-22082	109	2	specific	specific	ADJ
brj-22082	109	3	steps	step	NOUN
brj-22082	109	4	for	for	ADP
brj-22082	109	5	3d	3d	NOUN
brj-22082	109	6	reconstruction	reconstruction	NOUN
brj-22082	109	7	by	by	ADP
brj-22082	109	8	volume	volume	NOUN
brj-22082	109	9	rendering	render	VERB
brj-22082	109	10	under	under	ADP
brj-22082	109	11	the	the	DET
brj-22082	109	12	matlab	matlab	PROPN
brj-22082	109	13	environment	environment	NOUN
brj-22082	109	14	are	be	AUX
brj-22082	109	15	described	describe	VERB
brj-22082	109	16	below	below	ADV
brj-22082	109	17	.	.	PUNCT
brj-22082	110	1	construct	construct	VERB
brj-22082	110	2	the	the	DET
brj-22082	110	3	3d	3d	PROPN
brj-22082	110	4	volume	volume	NOUN
brj-22082	110	5	dataset	dataset	VERB
brj-22082	110	6	first	first	ADV
brj-22082	110	7	,	,	PUNCT
brj-22082	110	8	the	the	DET
brj-22082	110	9	“	"	PUNCT
brj-22082	110	10	imread	imread	ADJ
brj-22082	110	11	”	"	PUNCT
brj-22082	110	12	function	function	NOUN
brj-22082	110	13	was	be	AUX
brj-22082	110	14	used	use	VERB
brj-22082	110	15	from	from	ADP
brj-22082	110	16	the	the	DET
brj-22082	110	17	matlab	matlab	PROPN
brj-22082	110	18	toolbox	toolbox	NOUN
brj-22082	110	19	to	to	PART
brj-22082	110	20	read	read	VERB
brj-22082	110	21	the	the	DET
brj-22082	110	22	existing	exist	VERB
brj-22082	110	23	ten	ten	NUM
brj-22082	110	24	original	original	ADJ
brj-22082	110	25	images	image	NOUN
brj-22082	110	26	and	and	CCONJ
brj-22082	110	27	the	the	DET
brj-22082	110	28	27	27	NUM
brj-22082	110	29	images	image	NOUN
brj-22082	110	30	obtained	obtain	VERB
brj-22082	110	31	by	by	ADP
brj-22082	110	32	secondary	secondary	ADJ
brj-22082	110	33	interpolation	interpolation	NOUN
brj-22082	110	34	.	.	PUNCT
brj-22082	111	1	then	then	ADV
brj-22082	111	2	processed	process	VERB
brj-22082	111	3	images	image	NOUN
brj-22082	111	4	were	be	AUX
brj-22082	111	5	used	use	VERB
brj-22082	111	6	to	to	PART
brj-22082	111	7	create	create	VERB
brj-22082	111	8	a	a	DET
brj-22082	111	9	3d	3d	NUM
brj-22082	111	10	volume	volume	NOUN
brj-22082	111	11	dataset	dataset	NOUN
brj-22082	112	1	d	d	NOUN
brj-22082	112	2	by	by	ADP
brj-22082	112	3	the	the	DET
brj-22082	112	4	“	"	PUNCT
brj-22082	112	5	cat	cat	NOUN
brj-22082	112	6	”	"	PUNCT
brj-22082	112	7	function	function	NOUN
brj-22082	112	8	with	with	ADP
brj-22082	112	9	a	a	DET
brj-22082	112	10	size	size	NOUN
brj-22082	112	11	of	of	ADP
brj-22082	112	12	x×y×37	x×y×37	PROPN
brj-22082	112	13	.	.	PUNCT
brj-22082	113	1	peer	peer	NOUN
brj-22082	113	2	-	-	PUNCT
brj-22082	113	3	reviewed	review	VERB
brj-22082	113	4	article	article	NOUN
brj-22082	113	5	bioresources.com	bioresources.com	X
brj-22082	113	6	li	li	PROPN
brj-22082	113	7	et	et	PROPN
brj-22082	113	8	al	al	PROPN
brj-22082	113	9	.	.	PROPN
brj-22082	113	10	(	(	PUNCT
brj-22082	113	11	2022	2022	NUM
brj-22082	113	12	)	)	PUNCT
brj-22082	113	13	.	.	PUNCT
brj-22082	114	1	“	"	PUNCT
brj-22082	114	2	3d	3d	NUM
brj-22082	114	3	reconstruction	reconstruction	NOUN
brj-22082	114	4	of	of	ADP
brj-22082	114	5	tree	tree	NOUN
brj-22082	114	6	decay	decay	NOUN
brj-22082	114	7	,	,	PUNCT
brj-22082	114	8	”	"	PUNCT
brj-22082	114	9	bioresources	bioresource	NOUN
brj-22082	114	10	17(4	17(4	NUM
brj-22082	114	11	)	)	PUNCT
brj-22082	114	12	,	,	PUNCT
brj-22082	114	13	6277	6277	NUM
brj-22082	114	14	-	-	SYM
brj-22082	114	15	6292	6292	NUM
brj-22082	114	16	.	.	PUNCT
brj-22082	115	1	6283	6283	NUM
brj-22082	115	2	preprocessing	preprocessing	NOUN
brj-22082	115	3	of	of	ADP
brj-22082	115	4	reconstruction	reconstruction	NOUN
brj-22082	115	5	data	datum	NOUN
brj-22082	115	6	the	the	DET
brj-22082	115	7	volume	volume	NOUN
brj-22082	115	8	data	datum	NOUN
brj-22082	115	9	set	set	VERB
brj-22082	115	10	was	be	AUX
brj-22082	115	11	constructed	construct	VERB
brj-22082	115	12	by	by	ADP
brj-22082	115	13	the	the	DET
brj-22082	115	14	volume	volume	NOUN
brj-22082	115	15	drawing	drawing	NOUN
brj-22082	115	16	method	method	NOUN
brj-22082	115	17	to	to	PART
brj-22082	115	18	reduce	reduce	VERB
brj-22082	115	19	the	the	DET
brj-22082	115	20	display	display	NOUN
brj-22082	115	21	speed	speed	NOUN
brj-22082	115	22	and	and	CCONJ
brj-22082	115	23	improve	improve	VERB
brj-22082	115	24	the	the	DET
brj-22082	115	25	data	data	NOUN
brj-22082	115	26	capacity	capacity	NOUN
brj-22082	115	27	(	(	PUNCT
brj-22082	115	28	xu	xu	INTJ
brj-22082	115	29	et	et	PROPN
brj-22082	115	30	al	al	PROPN
brj-22082	115	31	.	.	PROPN
brj-22082	115	32	2001	2001	NUM
brj-22082	115	33	)	)	PUNCT
brj-22082	115	34	.	.	PUNCT
brj-22082	116	1	the	the	DET
brj-22082	116	2	“	"	PUNCT
brj-22082	116	3	reducevolume	reducevolume	ADJ
brj-22082	116	4	”	"	PUNCT
brj-22082	116	5	function	function	NOUN
brj-22082	116	6	was	be	AUX
brj-22082	116	7	used	use	VERB
brj-22082	116	8	to	to	PART
brj-22082	116	9	delete	delete	VERB
brj-22082	116	10	some	some	DET
brj-22082	116	11	data	datum	NOUN
brj-22082	116	12	points	point	NOUN
brj-22082	116	13	or	or	CCONJ
brj-22082	116	14	fragments	fragment	NOUN
brj-22082	116	15	with	with	ADP
brj-22082	116	16	less	less	ADJ
brj-22082	116	17	impact	impact	NOUN
brj-22082	116	18	on	on	ADP
brj-22082	116	19	the	the	DET
brj-22082	116	20	graphic	graphic	ADJ
brj-22082	116	21	display	display	NOUN
brj-22082	116	22	to	to	PART
brj-22082	116	23	reduce	reduce	VERB
brj-22082	116	24	the	the	DET
brj-22082	116	25	data	datum	NOUN
brj-22082	116	26	capacity	capacity	NOUN
brj-22082	116	27	,	,	PUNCT
brj-22082	116	28	and	and	CCONJ
brj-22082	116	29	the	the	DET
brj-22082	116	30	“	"	PUNCT
brj-22082	116	31	smooth	smooth	ADJ
brj-22082	116	32	”	"	PUNCT
brj-22082	116	33	function	function	NOUN
brj-22082	116	34	was	be	AUX
brj-22082	116	35	used	use	VERB
brj-22082	116	36	to	to	PART
brj-22082	116	37	smooth	smooth	VERB
brj-22082	116	38	the	the	DET
brj-22082	116	39	data	datum	NOUN
brj-22082	116	40	to	to	PART
brj-22082	116	41	improve	improve	VERB
brj-22082	116	42	the	the	DET
brj-22082	116	43	efficiency	efficiency	NOUN
brj-22082	116	44	of	of	ADP
brj-22082	116	45	the	the	DET
brj-22082	116	46	graphical	graphical	ADJ
brj-22082	116	47	display	display	NOUN
brj-22082	116	48	.	.	PUNCT
brj-22082	117	1	drawing	draw	VERB
brj-22082	117	2	of	of	ADP
brj-22082	117	3	three	three	NUM
brj-22082	117	4	-	-	PUNCT
brj-22082	117	5	dimensional	dimensional	ADJ
brj-22082	117	6	contours	contours	NOUN
brj-22082	117	7	the	the	DET
brj-22082	117	8	“	"	PUNCT
brj-22082	117	9	isosurface	isosurface	NOUN
brj-22082	117	10	”	"	PUNCT
brj-22082	117	11	function	function	NOUN
brj-22082	117	12	was	be	AUX
brj-22082	117	13	used	use	VERB
brj-22082	117	14	to	to	PART
brj-22082	117	15	calculate	calculate	VERB
brj-22082	117	16	the	the	DET
brj-22082	117	17	cumulative	cumulative	ADJ
brj-22082	117	18	projection	projection	NOUN
brj-22082	117	19	of	of	ADP
brj-22082	117	20	the	the	DET
brj-22082	117	21	dataset	dataset	NOUN
brj-22082	117	22	on	on	ADP
brj-22082	117	23	the	the	DET
brj-22082	117	24	display	display	NOUN
brj-22082	117	25	plane	plane	NOUN
brj-22082	117	26	,	,	PUNCT
brj-22082	117	27	and	and	CCONJ
brj-22082	117	28	the	the	DET
brj-22082	117	29	“	"	PUNCT
brj-22082	117	30	patch	patch	ADJ
brj-22082	117	31	”	"	PUNCT
brj-22082	117	32	function	function	NOUN
brj-22082	117	33	was	be	AUX
brj-22082	117	34	used	use	VERB
brj-22082	117	35	to	to	PART
brj-22082	117	36	create	create	VERB
brj-22082	117	37	a	a	DET
brj-22082	117	38	patch	patch	ADJ
brj-22082	117	39	graphics	graphic	NOUN
brj-22082	117	40	object	object	NOUN
brj-22082	117	41	,	,	PUNCT
brj-22082	117	42	this	this	DET
brj-22082	117	43	object	object	NOUN
brj-22082	117	44	is	be	AUX
brj-22082	117	45	one	one	NUM
brj-22082	117	46	or	or	CCONJ
brj-22082	117	47	more	more	ADJ
brj-22082	117	48	polygons	polygon	NOUN
brj-22082	117	49	determined	determine	VERB
brj-22082	117	50	according	accord	VERB
brj-22082	117	51	to	to	ADP
brj-22082	117	52	its	its	PRON
brj-22082	117	53	vertex	vertex	NOUN
brj-22082	117	54	coordinates	coordinate	NOUN
brj-22082	117	55	.	.	PUNCT
brj-22082	118	1	(	(	PUNCT
brj-22082	118	2	zeng	zeng	PROPN
brj-22082	118	3	et	et	PROPN
brj-22082	118	4	al	al	PROPN
brj-22082	118	5	.	.	PROPN
brj-22082	118	6	2004	2004	NUM
brj-22082	118	7	)	)	PUNCT
brj-22082	118	8	.	.	PUNCT
brj-22082	119	1	transparency	transparency	NOUN
brj-22082	119	2	setting	setting	NOUN
brj-22082	119	3	and	and	CCONJ
brj-22082	119	4	result	result	VERB
brj-22082	119	5	display	display	NOUN
brj-22082	119	6	to	to	PART
brj-22082	119	7	ensure	ensure	VERB
brj-22082	119	8	that	that	SCONJ
brj-22082	119	9	the	the	DET
brj-22082	119	10	reconstructed	reconstructed	ADJ
brj-22082	119	11	effect	effect	NOUN
brj-22082	119	12	can	can	AUX
brj-22082	119	13	see	see	VERB
brj-22082	119	14	the	the	DET
brj-22082	119	15	position	position	NOUN
brj-22082	119	16	and	and	CCONJ
brj-22082	119	17	shape	shape	NOUN
brj-22082	119	18	of	of	ADP
brj-22082	119	19	the	the	DET
brj-22082	119	20	decay	decay	NOUN
brj-22082	119	21	inside	inside	ADP
brj-22082	119	22	the	the	DET
brj-22082	119	23	tree	tree	NOUN
brj-22082	119	24	,	,	PUNCT
brj-22082	119	25	it	it	PRON
brj-22082	119	26	is	be	AUX
brj-22082	119	27	necessary	necessary	ADJ
brj-22082	119	28	to	to	PART
brj-22082	119	29	change	change	VERB
brj-22082	119	30	the	the	DET
brj-22082	119	31	transparency	transparency	NOUN
brj-22082	119	32	of	of	ADP
brj-22082	119	33	the	the	DET
brj-22082	119	34	patch	patch	NOUN
brj-22082	119	35	constructed	construct	VERB
brj-22082	119	36	by	by	ADP
brj-22082	119	37	the	the	DET
brj-22082	119	38	“	"	PUNCT
brj-22082	119	39	patch	patch	ADJ
brj-22082	119	40	”	"	PUNCT
brj-22082	119	41	function	function	NOUN
brj-22082	119	42	to	to	PART
brj-22082	119	43	meet	meet	VERB
brj-22082	119	44	the	the	DET
brj-22082	119	45	visualization	visualization	NOUN
brj-22082	119	46	requirements	requirement	NOUN
brj-22082	119	47	.	.	PUNCT
brj-22082	120	1	the	the	DET
brj-22082	120	2	transparency	transparency	NOUN
brj-22082	120	3	value	value	NOUN
brj-22082	120	4	is	be	AUX
brj-22082	120	5	called	call	VERB
brj-22082	120	6	the	the	DET
brj-22082	120	7	alpha	alpha	NOUN
brj-22082	120	8	value	value	NOUN
brj-22082	120	9	.	.	PUNCT
brj-22082	121	1	to	to	PART
brj-22082	121	2	ensure	ensure	VERB
brj-22082	121	3	that	that	SCONJ
brj-22082	121	4	the	the	DET
brj-22082	121	5	reconstructed	reconstructed	ADJ
brj-22082	121	6	effect	effect	NOUN
brj-22082	121	7	can	can	AUX
brj-22082	121	8	see	see	VERB
brj-22082	121	9	the	the	DET
brj-22082	121	10	position	position	NOUN
brj-22082	121	11	and	and	CCONJ
brj-22082	121	12	shape	shape	NOUN
brj-22082	121	13	of	of	ADP
brj-22082	121	14	the	the	DET
brj-22082	121	15	decay	decay	NOUN
brj-22082	121	16	inside	inside	ADP
brj-22082	121	17	the	the	DET
brj-22082	121	18	tree	tree	NOUN
brj-22082	121	19	,	,	PUNCT
brj-22082	121	20	it	it	PRON
brj-22082	121	21	is	be	AUX
brj-22082	121	22	necessary	necessary	ADJ
brj-22082	121	23	to	to	PART
brj-22082	121	24	change	change	VERB
brj-22082	121	25	the	the	DET
brj-22082	121	26	transparency	transparency	NOUN
brj-22082	121	27	of	of	ADP
brj-22082	121	28	the	the	DET
brj-22082	121	29	patch	patch	NOUN
brj-22082	121	30	constructed	construct	VERB
brj-22082	121	31	by	by	ADP
brj-22082	121	32	the	the	DET
brj-22082	121	33	“	"	PUNCT
brj-22082	121	34	patch	patch	ADJ
brj-22082	121	35	”	"	PUNCT
brj-22082	121	36	function	function	NOUN
brj-22082	121	37	to	to	PART
brj-22082	121	38	meet	meet	VERB
brj-22082	121	39	the	the	DET
brj-22082	121	40	visualization	visualization	NOUN
brj-22082	121	41	requirements	requirement	NOUN
brj-22082	121	42	.	.	PUNCT
brj-22082	122	1	under	under	ADP
brj-22082	122	2	the	the	DET
brj-22082	122	3	matlab	matlab	PROPN
brj-22082	122	4	environment	environment	NOUN
brj-22082	122	5	,	,	PUNCT
brj-22082	122	6	the	the	DET
brj-22082	122	7	“	"	PUNCT
brj-22082	122	8	alpha	alpha	NOUN
brj-22082	122	9	”	"	PUNCT
brj-22082	122	10	function	function	NOUN
brj-22082	122	11	was	be	AUX
brj-22082	122	12	used	use	VERB
brj-22082	122	13	to	to	PART
brj-22082	122	14	set	set	VERB
brj-22082	122	15	the	the	DET
brj-22082	122	16	transparency	transparency	NOUN
brj-22082	122	17	of	of	ADP
brj-22082	122	18	all	all	DET
brj-22082	122	19	filled	fill	VERB
brj-22082	122	20	images	image	NOUN
brj-22082	122	21	and	and	CCONJ
brj-22082	122	22	surface	surface	NOUN
brj-22082	122	23	objects	object	NOUN
brj-22082	122	24	within	within	ADP
brj-22082	122	25	the	the	DET
brj-22082	122	26	current	current	ADJ
brj-22082	122	27	coordinate	coordinate	NOUN
brj-22082	122	28	range	range	NOUN
brj-22082	122	29	,	,	PUNCT
brj-22082	122	30	by	by	ADP
brj-22082	122	31	specifying	specify	VERB
brj-22082	122	32	a	a	DET
brj-22082	122	33	transparency	transparency	NOUN
brj-22082	122	34	value	value	NOUN
brj-22082	122	35	between	between	ADP
brj-22082	122	36	0	0	NUM
brj-22082	122	37	(	(	PUNCT
brj-22082	122	38	completely	completely	ADV
brj-22082	122	39	transparent	transparent	ADJ
brj-22082	122	40	)	)	PUNCT
brj-22082	122	41	and	and	CCONJ
brj-22082	122	42	1	1	NUM
brj-22082	122	43	(	(	PUNCT
brj-22082	122	44	completely	completely	ADV
brj-22082	122	45	opaque	opaque	ADJ
brj-22082	122	46	)	)	PUNCT
brj-22082	122	47	.	.	PUNCT
brj-22082	123	1	after	after	SCONJ
brj-22082	123	2	the	the	DET
brj-22082	123	3	transparency	transparency	NOUN
brj-22082	123	4	was	be	AUX
brj-22082	123	5	defined	define	VERB
brj-22082	123	6	,	,	PUNCT
brj-22082	123	7	the	the	DET
brj-22082	123	8	“	"	PUNCT
brj-22082	123	9	lighting	lighting	NOUN
brj-22082	123	10	”	"	PUNCT
brj-22082	123	11	function	function	NOUN
brj-22082	123	12	was	be	AUX
brj-22082	123	13	used	use	VERB
brj-22082	123	14	to	to	PART
brj-22082	123	15	determine	determine	VERB
brj-22082	123	16	the	the	DET
brj-22082	123	17	distribution	distribution	NOUN
brj-22082	123	18	of	of	ADP
brj-22082	123	19	the	the	DET
brj-22082	123	20	display	display	NOUN
brj-22082	123	21	light	light	NOUN
brj-22082	123	22	on	on	ADP
brj-22082	123	23	the	the	DET
brj-22082	123	24	image	image	NOUN
brj-22082	123	25	,	,	PUNCT
brj-22082	123	26	the	the	DET
brj-22082	123	27	“	"	PUNCT
brj-22082	123	28	view	view	NOUN
brj-22082	123	29	”	"	PUNCT
brj-22082	123	30	function	function	NOUN
brj-22082	123	31	was	be	AUX
brj-22082	123	32	used	use	VERB
brj-22082	123	33	to	to	PART
brj-22082	123	34	define	define	VERB
brj-22082	123	35	the	the	DET
brj-22082	123	36	viewer	viewer	NOUN
brj-22082	123	37	’s	’s	PART
brj-22082	123	38	perspective	perspective	NOUN
brj-22082	123	39	,	,	PUNCT
brj-22082	123	40	and	and	CCONJ
brj-22082	123	41	finally	finally	ADV
brj-22082	123	42	,	,	PUNCT
brj-22082	123	43	the	the	DET
brj-22082	123	44	“	"	PUNCT
brj-22082	123	45	axis	axis	ADJ
brj-22082	123	46	”	"	PUNCT
brj-22082	123	47	function	function	NOUN
brj-22082	123	48	was	be	AUX
brj-22082	123	49	used	use	VERB
brj-22082	123	50	to	to	PART
brj-22082	123	51	define	define	VERB
brj-22082	123	52	the	the	DET
brj-22082	123	53	axis	axis	NOUN
brj-22082	123	54	of	of	ADP
brj-22082	123	55	the	the	DET
brj-22082	123	56	displayed	display	VERB
brj-22082	123	57	image	image	NOUN
brj-22082	123	58	.	.	PUNCT
brj-22082	124	1	results	result	NOUN
brj-22082	124	2	and	and	CCONJ
brj-22082	124	3	discussion	discussion	NOUN
brj-22082	124	4	image	image	NOUN
brj-22082	124	5	gray	gray	ADJ
brj-22082	124	6	-	-	PUNCT
brj-22082	124	7	scale	scale	NOUN
brj-22082	124	8	the	the	DET
brj-22082	124	9	result	result	NOUN
brj-22082	124	10	of	of	ADP
brj-22082	124	11	the	the	DET
brj-22082	124	12	weighted	weight	VERB
brj-22082	124	13	average	average	ADJ
brj-22082	124	14	algorithm	algorithm	NOUN
brj-22082	124	15	to	to	ADP
brj-22082	124	16	gray	gray	ADJ
brj-22082	124	17	-	-	PUNCT
brj-22082	124	18	scale	scale	NOUN
brj-22082	124	19	the	the	DET
brj-22082	124	20	image	image	NOUN
brj-22082	124	21	is	be	AUX
brj-22082	124	22	shown	show	VERB
brj-22082	124	23	in	in	ADP
brj-22082	124	24	fig	fig	NOUN
brj-22082	124	25	.	.	PUNCT
brj-22082	125	1	5	5	NUM
brj-22082	125	2	.	.	X
brj-22082	125	3	after	after	ADP
brj-22082	125	4	graying	gray	VERB
brj-22082	125	5	by	by	ADP
brj-22082	125	6	this	this	DET
brj-22082	125	7	method	method	NOUN
brj-22082	125	8	,	,	PUNCT
brj-22082	125	9	the	the	DET
brj-22082	125	10	image	image	NOUN
brj-22082	125	11	had	have	VERB
brj-22082	125	12	suitable	suitable	ADJ
brj-22082	125	13	brightness	brightness	NOUN
brj-22082	125	14	and	and	CCONJ
brj-22082	125	15	darkness	darkness	NOUN
brj-22082	125	16	,	,	PUNCT
brj-22082	125	17	and	and	CCONJ
brj-22082	125	18	the	the	DET
brj-22082	125	19	edges	edge	NOUN
brj-22082	125	20	were	be	AUX
brj-22082	125	21	clear	clear	ADJ
brj-22082	125	22	.	.	PUNCT
brj-22082	126	1	the	the	DET
brj-22082	126	2	degraded	degraded	ADJ
brj-22082	126	3	part	part	NOUN
brj-22082	126	4	was	be	AUX
brj-22082	126	5	different	different	ADJ
brj-22082	126	6	from	from	ADP
brj-22082	126	7	the	the	DET
brj-22082	126	8	benign	benign	ADJ
brj-22082	126	9	part	part	NOUN
brj-22082	126	10	,	,	PUNCT
brj-22082	126	11	and	and	CCONJ
brj-22082	126	12	the	the	DET
brj-22082	126	13	overall	overall	ADJ
brj-22082	126	14	image	image	NOUN
brj-22082	126	15	contrast	contrast	NOUN
brj-22082	126	16	was	be	AUX
brj-22082	126	17	high	high	ADJ
brj-22082	126	18	,	,	PUNCT
brj-22082	126	19	which	which	PRON
brj-22082	126	20	was	be	AUX
brj-22082	126	21	convenient	convenient	ADJ
brj-22082	126	22	for	for	ADP
brj-22082	126	23	further	further	ADJ
brj-22082	126	24	image	image	NOUN
brj-22082	126	25	enhancement	enhancement	NOUN
brj-22082	126	26	.	.	PUNCT
brj-22082	127	1	fig	fig	NOUN
brj-22082	127	2	.	.	PUNCT
brj-22082	128	1	5	5	X
brj-22082	128	2	.	.	X
brj-22082	128	3	gray	gray	ADJ
brj-22082	128	4	-	-	PUNCT
brj-22082	128	5	scale	scale	NOUN
brj-22082	128	6	results	result	NOUN
brj-22082	128	7	.	.	PUNCT
brj-22082	129	1	(	(	PUNCT
brj-22082	129	2	a	a	X
brj-22082	129	3	)	)	PUNCT
brj-22082	129	4	the	the	DET
brj-22082	129	5	original	original	ADJ
brj-22082	129	6	image	image	NOUN
brj-22082	129	7	and	and	CCONJ
brj-22082	129	8	(	(	PUNCT
brj-22082	129	9	b	b	NOUN
brj-22082	129	10	)	)	PUNCT
brj-22082	129	11	gray	gray	ADJ
brj-22082	129	12	-	-	PUNCT
brj-22082	129	13	scale	scale	NOUN
brj-22082	129	14	image	image	NOUN
brj-22082	129	15	image	image	NOUN
brj-22082	129	16	enhancement	enhancement	NOUN
brj-22082	129	17	using	use	VERB
brj-22082	129	18	the	the	DET
brj-22082	129	19	gray	gray	ADJ
brj-22082	129	20	linear	linear	NOUN
brj-22082	129	21	method	method	NOUN
brj-22082	129	22	to	to	PART
brj-22082	129	23	adjust	adjust	VERB
brj-22082	129	24	the	the	DET
brj-22082	129	25	value	value	NOUN
brj-22082	129	26	range	range	NOUN
brj-22082	129	27	of	of	ADP
brj-22082	129	28	k	k	PROPN
brj-22082	129	29	and	and	CCONJ
brj-22082	129	30	d	d	PROPN
brj-22082	129	31	,	,	PUNCT
brj-22082	129	32	the	the	DET
brj-22082	129	33	image	image	NOUN
brj-22082	129	34	enhancement	enhancement	NOUN
brj-22082	129	35	effect	effect	NOUN
brj-22082	129	36	was	be	AUX
brj-22082	129	37	different	different	ADJ
brj-22082	129	38	.	.	PUNCT
brj-22082	130	1	compared	compare	VERB
brj-22082	130	2	with	with	ADP
brj-22082	130	3	the	the	DET
brj-22082	130	4	original	original	ADJ
brj-22082	130	5	image	image	NOUN
brj-22082	130	6	(	(	PUNCT
brj-22082	130	7	fig	fig	NOUN
brj-22082	130	8	.	.	PUNCT
brj-22082	130	9	6a	6a	NOUN
brj-22082	130	10	)	)	PUNCT
brj-22082	130	11	,	,	PUNCT
brj-22082	130	12	when	when	SCONJ
brj-22082	130	13	the	the	DET
brj-22082	130	14	peer	peer	NOUN
brj-22082	130	15	-	-	PUNCT
brj-22082	130	16	reviewed	review	VERB
brj-22082	130	17	article	article	NOUN
brj-22082	130	18	bioresources.com	bioresources.com	X
brj-22082	130	19	li	li	PROPN
brj-22082	130	20	et	et	PROPN
brj-22082	130	21	al	al	PROPN
brj-22082	130	22	.	.	PROPN
brj-22082	130	23	(	(	PUNCT
brj-22082	130	24	2022	2022	NUM
brj-22082	130	25	)	)	PUNCT
brj-22082	130	26	.	.	PUNCT
brj-22082	131	1	“	"	PUNCT
brj-22082	131	2	3d	3d	NUM
brj-22082	131	3	reconstruction	reconstruction	NOUN
brj-22082	131	4	of	of	ADP
brj-22082	131	5	tree	tree	NOUN
brj-22082	131	6	decay	decay	NOUN
brj-22082	131	7	,	,	PUNCT
brj-22082	131	8	”	"	PUNCT
brj-22082	131	9	bioresources	bioresource	NOUN
brj-22082	131	10	17(4	17(4	NUM
brj-22082	131	11	)	)	PUNCT
brj-22082	131	12	,	,	PUNCT
brj-22082	131	13	6277	6277	NUM
brj-22082	131	14	-	-	SYM
brj-22082	131	15	6292	6292	NUM
brj-22082	131	16	.	.	PUNCT
brj-22082	132	1	6284	6284	NUM
brj-22082	132	2	k	k	NOUN
brj-22082	132	3	>	>	X
brj-22082	132	4	1	1	NUM
brj-22082	132	5	,	,	PUNCT
brj-22082	132	6	the	the	DET
brj-22082	132	7	overall	overall	ADJ
brj-22082	132	8	effect	effect	NOUN
brj-22082	132	9	was	be	AUX
brj-22082	132	10	enhanced	enhance	VERB
brj-22082	132	11	.	.	PUNCT
brj-22082	133	1	the	the	DET
brj-22082	133	2	decayed	decayed	ADJ
brj-22082	133	3	part	part	NOUN
brj-22082	133	4	was	be	AUX
brj-22082	133	5	different	different	ADJ
brj-22082	133	6	from	from	ADP
brj-22082	133	7	other	other	ADJ
brj-22082	133	8	parts	part	NOUN
brj-22082	133	9	,	,	PUNCT
brj-22082	133	10	with	with	ADP
brj-22082	133	11	an	an	DET
brj-22082	133	12	unmistakable	unmistakable	ADJ
brj-22082	133	13	edge	edge	NOUN
brj-22082	133	14	outline	outline	NOUN
brj-22082	133	15	,	,	PUNCT
brj-22082	133	16	and	and	CCONJ
brj-22082	133	17	there	there	PRON
brj-22082	133	18	was	be	VERB
brj-22082	133	19	an	an	DET
brj-22082	133	20	apparent	apparent	ADJ
brj-22082	133	21	difference	difference	NOUN
brj-22082	133	22	between	between	ADP
brj-22082	133	23	black	black	ADJ
brj-22082	133	24	and	and	CCONJ
brj-22082	133	25	white	white	ADJ
brj-22082	133	26	(	(	PUNCT
brj-22082	133	27	fig	fig	NOUN
brj-22082	133	28	.	.	PUNCT
brj-22082	133	29	6b	6b	NUM
brj-22082	133	30	)	)	PUNCT
brj-22082	133	31	.	.	PUNCT
brj-22082	134	1	in	in	ADP
brj-22082	134	2	the	the	DET
brj-22082	134	3	histogram	histogram	NOUN
brj-22082	134	4	,	,	PUNCT
brj-22082	134	5	the	the	DET
brj-22082	134	6	probability	probability	NOUN
brj-22082	134	7	of	of	ADP
brj-22082	134	8	the	the	DET
brj-22082	134	9	gray	gray	ADJ
brj-22082	134	10	level	level	NOUN
brj-22082	134	11	corresponding	correspond	VERB
brj-22082	134	12	to	to	ADP
brj-22082	134	13	black	black	ADJ
brj-22082	134	14	,	,	PUNCT
brj-22082	134	15	white	white	ADJ
brj-22082	134	16	,	,	PUNCT
brj-22082	134	17	and	and	CCONJ
brj-22082	134	18	gray	gray	ADJ
brj-22082	134	19	color	color	NOUN
brj-22082	134	20	was	be	AUX
brj-22082	134	21	high	high	ADJ
brj-22082	134	22	(	(	PUNCT
brj-22082	134	23	fig	fig	NOUN
brj-22082	134	24	.	.	PUNCT
brj-22082	135	1	6b1	6b1	NUM
brj-22082	135	2	)	)	PUNCT
brj-22082	135	3	.	.	PUNCT
brj-22082	136	1	when	when	SCONJ
brj-22082	136	2	0	0	PUNCT
brj-22082	136	3	<	<	X
brj-22082	136	4	k	k	X
brj-22082	136	5	<	<	X
brj-22082	136	6	1	1	NUM
brj-22082	136	7	,	,	PUNCT
brj-22082	136	8	the	the	DET
brj-22082	136	9	contrast	contrast	NOUN
brj-22082	136	10	and	and	CCONJ
brj-22082	136	11	brightness	brightness	NOUN
brj-22082	136	12	of	of	ADP
brj-22082	136	13	the	the	DET
brj-22082	136	14	image	image	NOUN
brj-22082	136	15	decreased	decrease	VERB
brj-22082	136	16	.	.	PUNCT
brj-22082	137	1	the	the	DET
brj-22082	137	2	overall	overall	ADJ
brj-22082	137	3	effect	effect	NOUN
brj-22082	137	4	was	be	AUX
brj-22082	137	5	weakened	weaken	VERB
brj-22082	137	6	,	,	PUNCT
brj-22082	137	7	and	and	CCONJ
brj-22082	137	8	the	the	DET
brj-22082	137	9	edge	edge	NOUN
brj-22082	137	10	of	of	ADP
brj-22082	137	11	defect	defect	NOUN
brj-22082	137	12	was	be	AUX
brj-22082	137	13	not	not	PART
brj-22082	137	14	apparent	apparent	ADJ
brj-22082	137	15	(	(	PUNCT
brj-22082	137	16	fig	fig	NOUN
brj-22082	137	17	.	.	PUNCT
brj-22082	138	1	6c	6c	NOUN
brj-22082	138	2	)	)	PUNCT
brj-22082	138	3	.	.	PUNCT
brj-22082	139	1	the	the	DET
brj-22082	139	2	corresponding	corresponding	ADJ
brj-22082	139	3	histogram	histogram	NOUN
brj-22082	139	4	shows	show	VERB
brj-22082	139	5	that	that	SCONJ
brj-22082	139	6	the	the	DET
brj-22082	139	7	gray	gray	ADJ
brj-22082	139	8	distribution	distribution	NOUN
brj-22082	139	9	was	be	AUX
brj-22082	139	10	mainly	mainly	ADV
brj-22082	139	11	concentrated	concentrate	VERB
brj-22082	139	12	in	in	ADP
brj-22082	139	13	one	one	NUM
brj-22082	139	14	region	region	NOUN
brj-22082	139	15	(	(	PUNCT
brj-22082	139	16	fig	fig	NOUN
brj-22082	139	17	.	.	PUNCT
brj-22082	139	18	6c1	6c1	NUM
brj-22082	139	19	)	)	PUNCT
brj-22082	139	20	.	.	PUNCT
brj-22082	140	1	when	when	SCONJ
brj-22082	140	2	k	k	PROPN
brj-22082	140	3	=	=	SYM
brj-22082	140	4	1	1	NUM
brj-22082	140	5	,	,	PUNCT
brj-22082	140	6	the	the	DET
brj-22082	140	7	image	image	NOUN
brj-22082	140	8	was	be	AUX
brj-22082	140	9	the	the	DET
brj-22082	140	10	original	original	ADJ
brj-22082	140	11	image	image	NOUN
brj-22082	140	12	.	.	PUNCT
brj-22082	141	1	when	when	SCONJ
brj-22082	141	2	k	k	PROPN
brj-22082	141	3	=	=	SYM
brj-22082	141	4	1	1	NUM
brj-22082	141	5	,	,	PUNCT
brj-22082	141	6	d	d	X
brj-22082	141	7	>	>	X
brj-22082	141	8	0	0	NUM
brj-22082	141	9	,	,	PUNCT
brj-22082	141	10	it	it	PRON
brj-22082	141	11	shows	show	VERB
brj-22082	141	12	the	the	DET
brj-22082	141	13	increase	increase	NOUN
brj-22082	141	14	of	of	ADP
brj-22082	141	15	image	image	NOUN
brj-22082	141	16	brightness	brightness	NOUN
brj-22082	141	17	(	(	PUNCT
brj-22082	141	18	fig	fig	NOUN
brj-22082	141	19	.	.	PUNCT
brj-22082	142	1	6d	6d	NUM
brj-22082	142	2	)	)	PUNCT
brj-22082	142	3	.	.	PUNCT
brj-22082	143	1	the	the	DET
brj-22082	143	2	change	change	NOUN
brj-22082	143	3	of	of	ADP
brj-22082	143	4	d	d	NOUN
brj-22082	143	5	value	value	NOUN
brj-22082	143	6	shifts	shift	NOUN
brj-22082	143	7	the	the	DET
brj-22082	143	8	overall	overall	ADJ
brj-22082	143	9	gray	gray	ADJ
brj-22082	143	10	distribution	distribution	NOUN
brj-22082	143	11	of	of	ADP
brj-22082	143	12	the	the	DET
brj-22082	143	13	corresponding	corresponding	ADJ
brj-22082	143	14	histogram	histogram	NOUN
brj-22082	143	15	to	to	ADP
brj-22082	143	16	the	the	DET
brj-22082	143	17	right	right	NOUN
brj-22082	143	18	(	(	PUNCT
brj-22082	143	19	fig	fig	NOUN
brj-22082	143	20	.	.	PUNCT
brj-22082	144	1	6d1	6d1	NUM
brj-22082	144	2	)	)	PUNCT
brj-22082	144	3	.	.	PUNCT
brj-22082	145	1	when	when	SCONJ
brj-22082	145	2	k	k	X
brj-22082	145	3	<	<	X
brj-22082	145	4	0	0	PROPN
brj-22082	145	5	,	,	PUNCT
brj-22082	145	6	it	it	PRON
brj-22082	145	7	shows	show	VERB
brj-22082	145	8	the	the	DET
brj-22082	145	9	reverse	reverse	ADJ
brj-22082	145	10	display	display	NOUN
brj-22082	145	11	effect	effect	NOUN
brj-22082	145	12	(	(	PUNCT
brj-22082	145	13	fig	fig	NOUN
brj-22082	145	14	.	.	PUNCT
brj-22082	146	1	6e	6e	NUM
brj-22082	146	2	)	)	PUNCT
brj-22082	146	3	.	.	PUNCT
brj-22082	147	1	comparing	compare	VERB
brj-22082	147	2	the	the	DET
brj-22082	147	3	four	four	NUM
brj-22082	147	4	value	value	NOUN
brj-22082	147	5	ranges	range	NOUN
brj-22082	147	6	,	,	PUNCT
brj-22082	147	7	the	the	DET
brj-22082	147	8	best	good	ADJ
brj-22082	147	9	enhancement	enhancement	NOUN
brj-22082	147	10	effect	effect	NOUN
brj-22082	147	11	was	be	AUX
brj-22082	147	12	at	at	ADP
brj-22082	147	13	k	k	PROPN
brj-22082	147	14	>	>	X
brj-22082	147	15	1	1	NUM
brj-22082	147	16	when	when	SCONJ
brj-22082	147	17	using	use	VERB
brj-22082	147	18	the	the	DET
brj-22082	147	19	gray	gray	ADJ
brj-22082	147	20	-	-	PUNCT
brj-22082	147	21	scale	scale	NOUN
brj-22082	147	22	linear	linear	NOUN
brj-22082	147	23	method	method	NOUN
brj-22082	147	24	for	for	ADP
brj-22082	147	25	image	image	NOUN
brj-22082	147	26	contrast	contrast	NOUN
brj-22082	147	27	.	.	PUNCT
brj-22082	148	1	fig	fig	NOUN
brj-22082	148	2	.	.	PUNCT
brj-22082	149	1	6	6	NUM
brj-22082	149	2	.	.	X
brj-22082	149	3	contrast	contrast	NOUN
brj-22082	149	4	adjustment	adjustment	NOUN
brj-22082	149	5	and	and	CCONJ
brj-22082	149	6	corresponding	corresponding	ADJ
brj-22082	149	7	histogram	histogram	NOUN
brj-22082	149	8	,	,	PUNCT
brj-22082	149	9	(	(	PUNCT
brj-22082	149	10	a	a	X
brj-22082	149	11	)	)	PUNCT
brj-22082	149	12	,	,	PUNCT
brj-22082	149	13	(	(	PUNCT
brj-22082	149	14	a1	a1	NOUN
brj-22082	149	15	):	):	PUNCT
brj-22082	149	16	original	original	ADJ
brj-22082	149	17	images	image	NOUN
brj-22082	149	18	;	;	PUNCT
brj-22082	149	19	(	(	PUNCT
brj-22082	149	20	b	b	X
brj-22082	149	21	)	)	PUNCT
brj-22082	149	22	,	,	PUNCT
brj-22082	149	23	(	(	PUNCT
brj-22082	149	24	b1	b1	NOUN
brj-22082	149	25	):	):	PUNCT
brj-22082	149	26	k=1.3	k=1.3	NOUN
brj-22082	149	27	,	,	PUNCT
brj-22082	149	28	d=0	d=0	PROPN
brj-22082	149	29	;	;	PUNCT
brj-22082	149	30	(	(	PUNCT
brj-22082	149	31	c	c	NOUN
brj-22082	149	32	)	)	PUNCT
brj-22082	149	33	,	,	PUNCT
brj-22082	149	34	(	(	PUNCT
brj-22082	149	35	c1	c1	NOUN
brj-22082	149	36	):	):	PUNCT
brj-22082	149	37	k=0.5	k=0.5	NOUN
brj-22082	149	38	,	,	PUNCT
brj-22082	149	39	d=0	d=0	PROPN
brj-22082	149	40	;	;	PUNCT
brj-22082	149	41	(	(	PUNCT
brj-22082	149	42	d	d	NOUN
brj-22082	149	43	)	)	PUNCT
brj-22082	149	44	,	,	PUNCT
brj-22082	149	45	(	(	PUNCT
brj-22082	149	46	d1	d1	NOUN
brj-22082	149	47	):	):	PUNCT
brj-22082	149	48	k=1	k=1	NOUN
brj-22082	149	49	,	,	PUNCT
brj-22082	149	50	d=50	d=50	ADJ
brj-22082	149	51	;	;	PUNCT
brj-22082	149	52	(	(	PUNCT
brj-22082	149	53	e	e	NOUN
brj-22082	149	54	)	)	PUNCT
brj-22082	149	55	,	,	PUNCT
brj-22082	149	56	(	(	PUNCT
brj-22082	149	57	e1	e1	NOUN
brj-22082	149	58	):	):	PUNCT
brj-22082	149	59	k=-1	k=-1	NOUN
brj-22082	149	60	,	,	PUNCT
brj-22082	149	61	d=255	d=255	VERB
brj-22082	149	62	image	image	NOUN
brj-22082	149	63	interpolation	interpolation	NOUN
brj-22082	149	64	figure	figure	NOUN
brj-22082	149	65	7	7	NUM
brj-22082	149	66	shows	show	VERB
brj-22082	149	67	the	the	DET
brj-22082	149	68	result	result	NOUN
brj-22082	149	69	of	of	ADP
brj-22082	149	70	image	image	NOUN
brj-22082	149	71	interpolation	interpolation	NOUN
brj-22082	149	72	using	use	VERB
brj-22082	149	73	linear	linear	ADJ
brj-22082	149	74	interpolation	interpolation	NOUN
brj-22082	149	75	.	.	PUNCT
brj-22082	150	1	figures	figure	NOUN
brj-22082	150	2	7a	7a	NUM
brj-22082	150	3	and	and	CCONJ
brj-22082	150	4	7b	7b	NUM
brj-22082	150	5	are	be	AUX
brj-22082	150	6	the	the	DET
brj-22082	150	7	upper	upper	ADJ
brj-22082	150	8	and	and	CCONJ
brj-22082	150	9	lower	low	ADJ
brj-22082	150	10	layer	layer	NOUN
brj-22082	150	11	images	image	NOUN
brj-22082	150	12	ready	ready	ADJ
brj-22082	150	13	for	for	ADP
brj-22082	150	14	interpolation	interpolation	NOUN
brj-22082	150	15	.	.	PUNCT
brj-22082	151	1	after	after	ADP
brj-22082	151	2	the	the	DET
brj-22082	151	3	first	first	ADJ
brj-22082	151	4	interpolation	interpolation	NOUN
brj-22082	151	5	,	,	PUNCT
brj-22082	151	6	the	the	DET
brj-22082	151	7	difference	difference	NOUN
brj-22082	151	8	between	between	ADP
brj-22082	151	9	the	the	DET
brj-22082	151	10	interpolated	interpolate	VERB
brj-22082	151	11	image	image	NOUN
brj-22082	151	12	and	and	CCONJ
brj-22082	151	13	the	the	DET
brj-22082	151	14	upper	upper	ADJ
brj-22082	151	15	and	and	CCONJ
brj-22082	151	16	lower	low	ADJ
brj-22082	151	17	layer	layer	NOUN
brj-22082	151	18	images	image	NOUN
brj-22082	151	19	was	be	AUX
brj-22082	151	20	still	still	ADV
brj-22082	151	21	significant	significant	ADJ
brj-22082	151	22	.	.	PUNCT
brj-22082	152	1	the	the	DET
brj-22082	152	2	step	step	NOUN
brj-22082	152	3	phenomenon	phenomenon	NOUN
brj-22082	152	4	was	be	AUX
brj-22082	152	5	evident	evident	ADJ
brj-22082	152	6	,	,	PUNCT
brj-22082	152	7	and	and	CCONJ
brj-22082	152	8	the	the	DET
brj-22082	152	9	effect	effect	NOUN
brj-22082	152	10	was	be	AUX
brj-22082	152	11	not	not	PART
brj-22082	152	12	ideal	ideal	ADJ
brj-22082	152	13	(	(	PUNCT
brj-22082	152	14	fig	fig	NOUN
brj-22082	152	15	.	.	PUNCT
brj-22082	153	1	7c	7c	NUM
brj-22082	153	2	)	)	PUNCT
brj-22082	153	3	.	.	PUNCT
brj-22082	154	1	after	after	ADP
brj-22082	154	2	the	the	DET
brj-22082	154	3	second	second	ADJ
brj-22082	154	4	inter	inter	ADJ
brj-22082	154	5	-	-	ADJ
brj-22082	154	6	layer	layer	ADJ
brj-22082	154	7	interpolation	interpolation	NOUN
brj-22082	154	8	,	,	PUNCT
brj-22082	154	9	the	the	DET
brj-22082	154	10	difference	difference	NOUN
brj-22082	154	11	between	between	ADP
brj-22082	154	12	the	the	DET
brj-22082	154	13	upper	upper	ADJ
brj-22082	154	14	and	and	CCONJ
brj-22082	154	15	lower	low	ADJ
brj-22082	154	16	layer	layer	NOUN
brj-22082	154	17	images	image	NOUN
brj-22082	154	18	was	be	AUX
brj-22082	154	19	less	less	ADV
brj-22082	154	20	pronounced	pronounce	VERB
brj-22082	154	21	,	,	PUNCT
brj-22082	154	22	and	and	CCONJ
brj-22082	154	23	the	the	DET
brj-22082	154	24	interpolated	interpolate	VERB
brj-22082	154	25	image	image	NOUN
brj-22082	154	26	was	be	AUX
brj-22082	154	27	similar	similar	ADJ
brj-22082	154	28	to	to	ADP
brj-22082	154	29	the	the	DET
brj-22082	154	30	upper	upper	ADJ
brj-22082	154	31	and	and	CCONJ
brj-22082	154	32	lower	low	ADJ
brj-22082	154	33	layer	layer	NOUN
brj-22082	154	34	images	image	NOUN
brj-22082	154	35	(	(	PUNCT
brj-22082	154	36	fig.7f	fig.7f	PROPN
brj-22082	154	37	)	)	PUNCT
brj-22082	154	38	,	,	PUNCT
brj-22082	154	39	which	which	PRON
brj-22082	154	40	achieved	achieve	VERB
brj-22082	154	41	a	a	DET
brj-22082	154	42	good	good	ADJ
brj-22082	154	43	transition	transition	NOUN
brj-22082	154	44	.	.	PUNCT
brj-22082	155	1	the	the	DET
brj-22082	155	2	interpolation	interpolation	NOUN
brj-22082	155	3	of	of	ADP
brj-22082	155	4	sequential	sequential	ADJ
brj-22082	155	5	sectional	sectional	ADJ
brj-22082	155	6	images	image	NOUN
brj-22082	155	7	will	will	AUX
brj-22082	155	8	increase	increase	VERB
brj-22082	155	9	the	the	DET
brj-22082	155	10	number	number	NOUN
brj-22082	155	11	of	of	ADP
brj-22082	155	12	sequential	sequential	ADJ
brj-22082	155	13	images	image	NOUN
brj-22082	155	14	and	and	CCONJ
brj-22082	155	15	it	it	PRON
brj-22082	155	16	can	can	AUX
brj-22082	155	17	improve	improve	VERB
brj-22082	155	18	the	the	DET
brj-22082	155	19	accuracy	accuracy	NOUN
brj-22082	155	20	of	of	ADP
brj-22082	155	21	subsequent	subsequent	ADJ
brj-22082	155	22	3d	3d	PROPN
brj-22082	155	23	reconstruction	reconstruction	NOUN
brj-22082	155	24	.	.	PUNCT
brj-22082	156	1	because	because	SCONJ
brj-22082	156	2	the	the	DET
brj-22082	156	3	sequence	sequence	NOUN
brj-22082	156	4	image	image	NOUN
brj-22082	156	5	increases	increase	VERB
brj-22082	156	6	the	the	DET
brj-22082	156	7	number	number	NOUN
brj-22082	156	8	of	of	ADP
brj-22082	156	9	images	image	NOUN
brj-22082	156	10	after	after	ADP
brj-22082	156	11	twice	twice	DET
brj-22082	156	12	interlayer	interlayer	NOUN
brj-22082	156	13	interpolation	interpolation	NOUN
brj-22082	156	14	,	,	PUNCT
brj-22082	156	15	and	and	CCONJ
brj-22082	156	16	the	the	DET
brj-22082	156	17	image	image	NOUN
brj-22082	156	18	interpolation	interpolation	NOUN
brj-22082	156	19	processing	processing	NOUN
brj-22082	156	20	also	also	ADV
brj-22082	156	21	takes	take	VERB
brj-22082	156	22	a	a	DET
brj-22082	156	23	certain	certain	ADJ
brj-22082	156	24	amount	amount	NOUN
brj-22082	156	25	of	of	ADP
brj-22082	156	26	time	time	NOUN
brj-22082	156	27	,	,	PUNCT
brj-22082	156	28	finding	find	VERB
brj-22082	156	29	a	a	DET
brj-22082	156	30	suitable	suitable	ADJ
brj-22082	156	31	interlayer	interlayer	NOUN
brj-22082	156	32	interpolation	interpolation	NOUN
brj-22082	156	33	algorithm	algorithm	NOUN
brj-22082	156	34	improves	improve	VERB
brj-22082	156	35	the	the	DET
brj-22082	156	36	speed	speed	NOUN
brj-22082	156	37	and	and	CCONJ
brj-22082	156	38	accuracy	accuracy	NOUN
brj-22082	156	39	of	of	ADP
brj-22082	156	40	3d	3d	PROPN
brj-22082	156	41	reconstruction	reconstruction	NOUN
brj-22082	156	42	.	.	PUNCT
brj-22082	157	1	o	o	X
brj-22082	158	1	c	c	NOUN
brj-22082	158	2	c	c	X
brj-22082	158	3	u	u	NOUN
brj-22082	158	4	rr	rr	X
brj-22082	158	5	e	e	X
brj-22082	158	6	n	n	PROPN
brj-22082	158	7	c	c	NOUN
brj-22082	158	8	e	e	X
brj-22082	158	9	p	p	PROPN
brj-22082	158	10	ro	ro	PROPN
brj-22082	158	11	b	b	PROPN
brj-22082	158	12	a	a	DET
brj-22082	158	13	b	b	X
brj-22082	158	14	il	il	INTJ
brj-22082	158	15	it	it	PRON
brj-22082	158	16	y	y	PROPN
brj-22082	158	17	gray	gray	ADJ
brj-22082	158	18	scale	scale	NOUN
brj-22082	158	19	peer	peer	NOUN
brj-22082	158	20	-	-	PUNCT
brj-22082	158	21	reviewed	review	VERB
brj-22082	158	22	article	article	NOUN
brj-22082	158	23	bioresources.com	bioresources.com	X
brj-22082	158	24	li	li	PROPN
brj-22082	158	25	et	et	PROPN
brj-22082	158	26	al	al	PROPN
brj-22082	158	27	.	.	PROPN
brj-22082	158	28	(	(	PUNCT
brj-22082	158	29	2022	2022	NUM
brj-22082	158	30	)	)	PUNCT
brj-22082	158	31	.	.	PUNCT
brj-22082	159	1	“	"	PUNCT
brj-22082	159	2	3d	3d	NUM
brj-22082	159	3	reconstruction	reconstruction	NOUN
brj-22082	159	4	of	of	ADP
brj-22082	159	5	tree	tree	NOUN
brj-22082	159	6	decay	decay	NOUN
brj-22082	159	7	,	,	PUNCT
brj-22082	159	8	”	"	PUNCT
brj-22082	159	9	bioresources	bioresource	NOUN
brj-22082	159	10	17(4	17(4	NUM
brj-22082	159	11	)	)	PUNCT
brj-22082	159	12	,	,	PUNCT
brj-22082	159	13	6277	6277	NUM
brj-22082	159	14	-	-	SYM
brj-22082	159	15	6292	6292	NUM
brj-22082	159	16	.	.	PUNCT
brj-22082	160	1	6285	6285	NUM
brj-22082	160	2	fig	fig	NOUN
brj-22082	160	3	.	.	PUNCT
brj-22082	161	1	7	7	X
brj-22082	161	2	.	.	X
brj-22082	161	3	image	image	NOUN
brj-22082	161	4	interpolation	interpolation	NOUN
brj-22082	161	5	results	result	NOUN
brj-22082	161	6	,	,	PUNCT
brj-22082	161	7	(	(	PUNCT
brj-22082	161	8	a	a	X
brj-22082	161	9	)	)	PUNCT
brj-22082	161	10	,	,	PUNCT
brj-22082	161	11	(	(	PUNCT
brj-22082	161	12	b	b	X
brj-22082	161	13	)	)	PUNCT
brj-22082	161	14	are	be	AUX
brj-22082	161	15	the	the	DET
brj-22082	161	16	upper	upper	ADJ
brj-22082	161	17	and	and	CCONJ
brj-22082	161	18	lower	low	ADJ
brj-22082	161	19	layer	layer	NOUN
brj-22082	161	20	images	image	NOUN
brj-22082	161	21	to	to	PART
brj-22082	161	22	be	be	AUX
brj-22082	161	23	interpolated	interpolate	VERB
brj-22082	161	24	,	,	PUNCT
brj-22082	161	25	respectively	respectively	ADV
brj-22082	161	26	;	;	PUNCT
brj-22082	161	27	(	(	PUNCT
brj-22082	161	28	c	c	X
brj-22082	161	29	)	)	PUNCT
brj-22082	161	30	is	be	AUX
brj-22082	161	31	the	the	DET
brj-22082	161	32	interpolated	interpolate	VERB
brj-22082	161	33	images	image	NOUN
brj-22082	161	34	obtained	obtain	VERB
brj-22082	161	35	by	by	ADP
brj-22082	161	36	linear	linear	PROPN
brj-22082	161	37	interpolation	interpolation	NOUN
brj-22082	161	38	;	;	PUNCT
brj-22082	161	39	(	(	PUNCT
brj-22082	161	40	d	d	X
brj-22082	161	41	)	)	PUNCT
brj-22082	161	42	,	,	PUNCT
brj-22082	161	43	(	(	PUNCT
brj-22082	161	44	e)are	e)are	VERB
brj-22082	161	45	the	the	DET
brj-22082	161	46	upper	upper	ADJ
brj-22082	161	47	and	and	CCONJ
brj-22082	161	48	lower	low	ADJ
brj-22082	161	49	layer	layer	NOUN
brj-22082	161	50	images	image	NOUN
brj-22082	161	51	obtained	obtain	VERB
brj-22082	161	52	by	by	ADP
brj-22082	161	53	the	the	DET
brj-22082	161	54	first	first	ADJ
brj-22082	161	55	linear	linear	PROPN
brj-22082	161	56	interpolation	interpolation	NOUN
brj-22082	161	57	;	;	PUNCT
brj-22082	161	58	(	(	PUNCT
brj-22082	161	59	f	f	X
brj-22082	161	60	)	)	PUNCT
brj-22082	161	61	is	be	AUX
brj-22082	161	62	the	the	DET
brj-22082	161	63	interpolated	interpolate	VERB
brj-22082	161	64	images	image	NOUN
brj-22082	161	65	obtained	obtain	VERB
brj-22082	161	66	by	by	ADP
brj-22082	161	67	the	the	DET
brj-22082	161	68	second	second	ADJ
brj-22082	161	69	linear	linear	ADJ
brj-22082	161	70	interpolation	interpolation	NOUN
brj-22082	161	71	.	.	PUNCT
brj-22082	162	1	surface	surface	NOUN
brj-22082	162	2	rendering	render	VERB
brj-22082	162	3	the	the	DET
brj-22082	162	4	surface	surface	NOUN
brj-22082	162	5	rendering	rendering	NOUN
brj-22082	162	6	method	method	NOUN
brj-22082	162	7	has	have	VERB
brj-22082	162	8	higher	high	ADJ
brj-22082	162	9	requirements	requirement	NOUN
brj-22082	162	10	for	for	ADP
brj-22082	162	11	edge	edge	NOUN
brj-22082	162	12	detection	detection	NOUN
brj-22082	162	13	.	.	PUNCT
brj-22082	163	1	figure	figure	NOUN
brj-22082	163	2	8	8	NUM
brj-22082	163	3	shows	show	VERB
brj-22082	163	4	the	the	DET
brj-22082	163	5	result	result	NOUN
brj-22082	163	6	of	of	ADP
brj-22082	163	7	edge	edge	NOUN
brj-22082	163	8	detection	detection	NOUN
brj-22082	163	9	by	by	ADP
brj-22082	163	10	a	a	DET
brj-22082	163	11	“	"	PUNCT
brj-22082	163	12	canny	canny	ADJ
brj-22082	163	13	”	"	PUNCT
brj-22082	163	14	operator	operator	NOUN
brj-22082	163	15	.	.	PUNCT
brj-22082	164	1	in	in	ADP
brj-22082	164	2	the	the	DET
brj-22082	164	3	“	"	PUNCT
brj-22082	164	4	canny	canny	ADJ
brj-22082	164	5	”	"	PUNCT
brj-22082	164	6	operator	operator	NOUN
brj-22082	164	7	,	,	PUNCT
brj-22082	164	8	the	the	DET
brj-22082	164	9	high	high	ADJ
brj-22082	164	10	and	and	CCONJ
brj-22082	164	11	low	low	ADJ
brj-22082	164	12	thresholds	threshold	NOUN
brj-22082	164	13	affect	affect	VERB
brj-22082	164	14	the	the	DET
brj-22082	164	15	edge	edge	NOUN
brj-22082	164	16	results	result	NOUN
brj-22082	164	17	.	.	PUNCT
brj-22082	165	1	with	with	ADP
brj-22082	165	2	a	a	DET
brj-22082	165	3	higher	high	ADJ
brj-22082	165	4	threshold	threshold	NOUN
brj-22082	165	5	,	,	PUNCT
brj-22082	165	6	fewer	few	ADJ
brj-22082	165	7	edge	edge	NOUN
brj-22082	165	8	points	point	NOUN
brj-22082	165	9	are	be	AUX
brj-22082	165	10	detected	detect	VERB
brj-22082	165	11	,	,	PUNCT
brj-22082	165	12	but	but	CCONJ
brj-22082	165	13	the	the	DET
brj-22082	165	14	low	low	ADJ
brj-22082	165	15	threshold	threshold	NOUN
brj-22082	165	16	should	should	AUX
brj-22082	165	17	not	not	PART
brj-22082	165	18	be	be	AUX
brj-22082	165	19	set	set	VERB
brj-22082	165	20	too	too	ADV
brj-22082	165	21	high	high	ADJ
brj-22082	165	22	.	.	PUNCT
brj-22082	166	1	otherwise	otherwise	ADV
brj-22082	166	2	,	,	PUNCT
brj-22082	166	3	some	some	DET
brj-22082	166	4	edge	edge	NOUN
brj-22082	166	5	information	information	NOUN
brj-22082	166	6	is	be	AUX
brj-22082	166	7	lost	lose	VERB
brj-22082	166	8	.	.	PUNCT
brj-22082	167	1	in	in	ADP
brj-22082	167	2	order	order	NOUN
brj-22082	167	3	to	to	PART
brj-22082	167	4	avoid	avoid	VERB
brj-22082	167	5	the	the	DET
brj-22082	167	6	problem	problem	NOUN
brj-22082	167	7	of	of	ADP
brj-22082	167	8	poor	poor	ADJ
brj-22082	167	9	adaptation	adaptation	NOUN
brj-22082	167	10	caused	cause	VERB
brj-22082	167	11	by	by	ADP
brj-22082	167	12	manually	manually	ADV
brj-22082	167	13	setting	set	VERB
brj-22082	167	14	the	the	DET
brj-22082	167	15	threshold	threshold	NOUN
brj-22082	167	16	,	,	PUNCT
brj-22082	167	17	this	this	DET
brj-22082	167	18	study	study	NOUN
brj-22082	167	19	used	use	VERB
brj-22082	167	20	the	the	DET
brj-22082	167	21	maximum	maximum	ADJ
brj-22082	167	22	between	between	ADP
brj-22082	167	23	-	-	PUNCT
brj-22082	167	24	class	class	NOUN
brj-22082	167	25	variance	variance	NOUN
brj-22082	167	26	(	(	PUNCT
brj-22082	167	27	otsu	otsu	NOUN
brj-22082	167	28	method	method	NOUN
brj-22082	167	29	)	)	PUNCT
brj-22082	167	30	.	.	PUNCT
brj-22082	168	1	according	accord	VERB
brj-22082	168	2	to	to	ADP
brj-22082	168	3	the	the	DET
brj-22082	168	4	gray	gray	ADJ
brj-22082	168	5	characteristics	characteristic	NOUN
brj-22082	168	6	of	of	ADP
brj-22082	168	7	the	the	DET
brj-22082	168	8	image	image	NOUN
brj-22082	168	9	,	,	PUNCT
brj-22082	168	10	the	the	DET
brj-22082	168	11	image	image	NOUN
brj-22082	168	12	is	be	AUX
brj-22082	168	13	divided	divide	VERB
brj-22082	168	14	into	into	ADP
brj-22082	168	15	the	the	DET
brj-22082	168	16	background	background	NOUN
brj-22082	168	17	and	and	CCONJ
brj-22082	168	18	foreground	foreground	NOUN
brj-22082	168	19	of	of	ADP
brj-22082	168	20	the	the	DET
brj-22082	168	21	target	target	NOUN
brj-22082	168	22	object	object	NOUN
brj-22082	168	23	.	.	PUNCT
brj-22082	169	1	then	then	ADV
brj-22082	169	2	the	the	DET
brj-22082	169	3	high	high	ADJ
brj-22082	169	4	threshold	threshold	NOUN
brj-22082	169	5	and	and	CCONJ
brj-22082	169	6	low	low	ADJ
brj-22082	169	7	threshold	threshold	NOUN
brj-22082	169	8	are	be	AUX
brj-22082	169	9	obtained	obtain	VERB
brj-22082	169	10	.	.	PUNCT
brj-22082	170	1	after	after	ADP
brj-22082	170	2	edge	edge	NOUN
brj-22082	170	3	detection	detection	NOUN
brj-22082	170	4	using	use	VERB
brj-22082	170	5	the	the	DET
brj-22082	170	6	“	"	PUNCT
brj-22082	170	7	canny	canny	ADJ
brj-22082	170	8	”	"	PUNCT
brj-22082	170	9	operator	operator	NOUN
brj-22082	170	10	,	,	PUNCT
brj-22082	170	11	the	the	DET
brj-22082	170	12	contour	contour	NOUN
brj-22082	170	13	of	of	ADP
brj-22082	170	14	the	the	DET
brj-22082	170	15	decay	decay	NOUN
brj-22082	170	16	inside	inside	ADP
brj-22082	170	17	the	the	DET
brj-22082	170	18	trunk	trunk	NOUN
brj-22082	170	19	was	be	AUX
brj-22082	170	20	clear	clear	ADJ
brj-22082	170	21	and	and	CCONJ
brj-22082	170	22	complete	complete	ADJ
brj-22082	170	23	,	,	PUNCT
brj-22082	170	24	and	and	CCONJ
brj-22082	170	25	the	the	DET
brj-22082	170	26	effect	effect	NOUN
brj-22082	170	27	was	be	AUX
brj-22082	170	28	better	well	ADJ
brj-22082	170	29	.	.	PUNCT
brj-22082	171	1	fig	fig	NOUN
brj-22082	171	2	.	.	PUNCT
brj-22082	172	1	8	8	NUM
brj-22082	172	2	.	.	X
brj-22082	172	3	edge	edge	NOUN
brj-22082	172	4	detection	detection	NOUN
brj-22082	172	5	result	result	NOUN
brj-22082	172	6	.	.	PUNCT
brj-22082	173	1	(	(	PUNCT
brj-22082	173	2	a	a	X
brj-22082	173	3	)	)	PUNCT
brj-22082	173	4	original	original	ADJ
brj-22082	173	5	image	image	NOUN
brj-22082	173	6	and	and	CCONJ
brj-22082	173	7	(	(	PUNCT
brj-22082	173	8	b	b	NOUN
brj-22082	173	9	)	)	PUNCT
brj-22082	173	10	edge	edge	NOUN
brj-22082	173	11	detection	detection	NOUN
brj-22082	173	12	image	image	NOUN
brj-22082	173	13	figure	figure	NOUN
brj-22082	173	14	9	9	NUM
brj-22082	173	15	shows	show	VERB
brj-22082	173	16	the	the	DET
brj-22082	173	17	surface	surface	NOUN
brj-22082	173	18	drawing	drawing	NOUN
brj-22082	173	19	effect	effect	NOUN
brj-22082	173	20	of	of	ADP
brj-22082	173	21	using	use	VERB
brj-22082	173	22	the	the	DET
brj-22082	173	23	triangle	triangle	NOUN
brj-22082	173	24	connection	connection	NOUN
brj-22082	173	25	formed	form	VERB
brj-22082	173	26	by	by	ADP
brj-22082	173	27	the	the	DET
brj-22082	173	28	shortest	short	ADJ
brj-22082	173	29	diagonal	diagonal	ADJ
brj-22082	173	30	as	as	ADP
brj-22082	173	31	the	the	DET
brj-22082	173	32	fitting	fitting	ADJ
brj-22082	173	33	unit	unit	NOUN
brj-22082	173	34	and	and	CCONJ
brj-22082	173	35	then	then	ADV
brj-22082	173	36	connecting	connect	VERB
brj-22082	173	37	the	the	DET
brj-22082	173	38	contours	contours	NOUN
brj-22082	173	39	.	.	PUNCT
brj-22082	174	1	when	when	SCONJ
brj-22082	174	2	using	use	VERB
brj-22082	174	3	this	this	DET
brj-22082	174	4	method	method	NOUN
brj-22082	174	5	for	for	ADP
brj-22082	174	6	reconstruction	reconstruction	NOUN
brj-22082	174	7	,	,	PUNCT
brj-22082	174	8	the	the	DET
brj-22082	174	9	correspondence	correspondence	NOUN
brj-22082	174	10	between	between	ADP
brj-22082	174	11	the	the	DET
brj-22082	174	12	contour	contour	NOUN
brj-22082	174	13	lines	line	NOUN
brj-22082	174	14	is	be	AUX
brj-22082	174	15	very	very	ADV
brj-22082	174	16	critical	critical	ADJ
brj-22082	174	17	.	.	PUNCT
brj-22082	175	1	if	if	SCONJ
brj-22082	175	2	there	there	PRON
brj-22082	175	3	are	be	VERB
brj-22082	175	4	more	more	ADJ
brj-22082	175	5	than	than	ADP
brj-22082	175	6	one	one	NUM
brj-22082	175	7	contour	contour	NOUN
brj-22082	175	8	lines	line	NOUN
brj-22082	175	9	between	between	ADP
brj-22082	175	10	the	the	DET
brj-22082	175	11	two	two	NUM
brj-22082	175	12	adjacent	adjacent	ADJ
brj-22082	175	13	layers	layer	NOUN
brj-22082	175	14	,	,	PUNCT
brj-22082	175	15	it	it	PRON
brj-22082	175	16	is	be	AUX
brj-22082	175	17	worth	worth	ADJ
brj-22082	175	18	considering	consider	VERB
brj-22082	175	19	which	which	PRON
brj-22082	175	20	contour	contour	NOUN
brj-22082	175	21	lines	line	NOUN
brj-22082	175	22	should	should	AUX
brj-22082	175	23	be	be	AUX
brj-22082	175	24	connected	connect	VERB
brj-22082	175	25	in	in	ADP
brj-22082	175	26	the	the	DET
brj-22082	175	27	adjacent	adjacent	ADJ
brj-22082	175	28	contour	contour	NOUN
brj-22082	175	29	lines	line	NOUN
brj-22082	175	30	.	.	PUNCT
brj-22082	176	1	when	when	SCONJ
brj-22082	176	2	the	the	DET
brj-22082	176	3	change	change	NOUN
brj-22082	176	4	of	of	ADP
brj-22082	176	5	adjacent	adjacent	ADJ
brj-22082	176	6	contour	contour	NOUN
brj-22082	176	7	lines	line	NOUN
brj-22082	176	8	is	be	AUX
brj-22082	176	9	relatively	relatively	ADV
brj-22082	176	10	large	large	ADJ
brj-22082	176	11	,	,	PUNCT
brj-22082	176	12	the	the	DET
brj-22082	176	13	corresponding	corresponding	ADJ
brj-22082	176	14	difficulty	difficulty	NOUN
brj-22082	176	15	of	of	ADP
brj-22082	176	16	the	the	DET
brj-22082	176	17	contour	contour	NOUN
brj-22082	176	18	lines	line	NOUN
brj-22082	176	19	is	be	AUX
brj-22082	176	20	greater	great	ADJ
brj-22082	176	21	.	.	PUNCT
brj-22082	177	1	therefore	therefore	ADV
brj-22082	177	2	,	,	PUNCT
brj-22082	177	3	the	the	DET
brj-22082	177	4	contour	contour	NOUN
brj-22082	177	5	correspondence	correspondence	NOUN
brj-22082	177	6	problem	problem	NOUN
brj-22082	177	7	can	can	AUX
brj-22082	177	8	be	be	AUX
brj-22082	177	9	effectively	effectively	ADV
brj-22082	177	10	solved	solve	VERB
brj-22082	177	11	only	only	ADV
brj-22082	177	12	by	by	ADP
brj-22082	177	13	selecting	select	VERB
brj-22082	177	14	an	an	DET
brj-22082	177	15	appropriate	appropriate	ADJ
brj-22082	177	16	interpolation	interpolation	NOUN
brj-22082	177	17	method	method	NOUN
brj-22082	177	18	.	.	PUNCT
brj-22082	178	1	on	on	ADP
brj-22082	178	2	the	the	DET
brj-22082	178	3	other	other	ADJ
brj-22082	178	4	hand	hand	NOUN
brj-22082	178	5	,	,	PUNCT
brj-22082	178	6	the	the	DET
brj-22082	178	7	peer	peer	NOUN
brj-22082	178	8	-	-	PUNCT
brj-22082	178	9	reviewed	review	VERB
brj-22082	178	10	article	article	NOUN
brj-22082	178	11	bioresources.com	bioresources.com	X
brj-22082	178	12	li	li	PROPN
brj-22082	178	13	et	et	PROPN
brj-22082	178	14	al	al	PROPN
brj-22082	178	15	.	.	PROPN
brj-22082	178	16	(	(	PUNCT
brj-22082	178	17	2022	2022	NUM
brj-22082	178	18	)	)	PUNCT
brj-22082	178	19	.	.	PUNCT
brj-22082	179	1	“	"	PUNCT
brj-22082	179	2	3d	3d	NUM
brj-22082	179	3	reconstruction	reconstruction	NOUN
brj-22082	179	4	of	of	ADP
brj-22082	179	5	tree	tree	NOUN
brj-22082	179	6	decay	decay	NOUN
brj-22082	179	7	,	,	PUNCT
brj-22082	179	8	”	"	PUNCT
brj-22082	179	9	bioresources	bioresource	NOUN
brj-22082	179	10	17(4	17(4	NUM
brj-22082	179	11	)	)	PUNCT
brj-22082	179	12	,	,	PUNCT
brj-22082	179	13	6277	6277	NUM
brj-22082	179	14	-	-	SYM
brj-22082	179	15	6292	6292	NUM
brj-22082	179	16	.	.	PUNCT
brj-22082	180	1	6286	6286	NUM
brj-22082	180	2	surface	surface	NOUN
brj-22082	180	3	drawing	drawing	NOUN
brj-22082	180	4	method	method	NOUN
brj-22082	180	5	requires	require	VERB
brj-22082	180	6	high	high	ADJ
brj-22082	180	7	accuracy	accuracy	NOUN
brj-22082	180	8	of	of	ADP
brj-22082	180	9	edge	edge	NOUN
brj-22082	180	10	detection	detection	NOUN
brj-22082	180	11	.	.	PUNCT
brj-22082	181	1	the	the	DET
brj-22082	181	2	display	display	NOUN
brj-22082	181	3	effect	effect	NOUN
brj-22082	181	4	is	be	AUX
brj-22082	181	5	not	not	PART
brj-22082	181	6	good	good	ADJ
brj-22082	181	7	for	for	ADP
brj-22082	181	8	some	some	DET
brj-22082	181	9	images	image	NOUN
brj-22082	181	10	whose	whose	DET
brj-22082	181	11	features	feature	NOUN
brj-22082	181	12	are	be	AUX
brj-22082	181	13	not	not	PART
brj-22082	181	14	obvious	obvious	ADJ
brj-22082	181	15	.	.	PUNCT
brj-22082	182	1	because	because	SCONJ
brj-22082	182	2	the	the	DET
brj-22082	182	3	data	datum	NOUN
brj-22082	182	4	processed	process	VERB
brj-22082	182	5	by	by	ADP
brj-22082	182	6	surface	surface	NOUN
brj-22082	182	7	method	method	NOUN
brj-22082	182	8	is	be	AUX
brj-22082	182	9	only	only	ADV
brj-22082	182	10	a	a	DET
brj-22082	182	11	part	part	NOUN
brj-22082	182	12	of	of	ADP
brj-22082	182	13	the	the	DET
brj-22082	182	14	whole	whole	ADJ
brj-22082	182	15	volume	volume	NOUN
brj-22082	182	16	of	of	ADP
brj-22082	182	17	data	data	PROPN
brj-22082	182	18	,	,	PUNCT
brj-22082	182	19	the	the	DET
brj-22082	182	20	processed	process	VERB
brj-22082	182	21	data	datum	NOUN
brj-22082	182	22	has	have	VERB
brj-22082	182	23	the	the	DET
brj-22082	182	24	advantages	advantage	NOUN
brj-22082	182	25	of	of	ADP
brj-22082	182	26	the	the	DET
brj-22082	182	27	small	small	ADJ
brj-22082	182	28	calculation	calculation	NOUN
brj-22082	182	29	amount	amount	NOUN
brj-22082	182	30	,	,	PUNCT
brj-22082	182	31	small	small	ADJ
brj-22082	182	32	memory	memory	NOUN
brj-22082	182	33	occupation	occupation	NOUN
brj-22082	182	34	,	,	PUNCT
brj-22082	182	35	and	and	CCONJ
brj-22082	182	36	fast	fast	ADV
brj-22082	182	37	running	running	NOUN
brj-22082	182	38	speed	speed	NOUN
brj-22082	182	39	.	.	PUNCT
brj-22082	183	1	with	with	ADP
brj-22082	183	2	the	the	DET
brj-22082	183	3	support	support	NOUN
brj-22082	183	4	of	of	ADP
brj-22082	183	5	computer	computer	NOUN
brj-22082	183	6	hardware	hardware	NOUN
brj-22082	183	7	,	,	PUNCT
brj-22082	183	8	it	it	PRON
brj-22082	183	9	can	can	AUX
brj-22082	183	10	smoothly	smoothly	ADV
brj-22082	183	11	carry	carry	VERB
brj-22082	183	12	out	out	ADP
brj-22082	183	13	3d	3d	NUM
brj-22082	183	14	interaction	interaction	NOUN
brj-22082	183	15	.	.	PUNCT
brj-22082	184	1	although	although	SCONJ
brj-22082	184	2	the	the	DET
brj-22082	184	3	algorithm	algorithm	NOUN
brj-22082	184	4	can	can	AUX
brj-22082	184	5	reconstruct	reconstruct	VERB
brj-22082	184	6	the	the	DET
brj-22082	184	7	decay	decay	NOUN
brj-22082	184	8	more	more	ADV
brj-22082	184	9	quickly	quickly	ADV
brj-22082	184	10	,	,	PUNCT
brj-22082	184	11	there	there	PRON
brj-22082	184	12	is	be	VERB
brj-22082	184	13	limited	limited	ADJ
brj-22082	184	14	retention	retention	NOUN
brj-22082	184	15	of	of	ADP
brj-22082	184	16	the	the	DET
brj-22082	184	17	internal	internal	ADJ
brj-22082	184	18	information	information	NOUN
brj-22082	184	19	,	,	PUNCT
brj-22082	184	20	and	and	CCONJ
brj-22082	184	21	the	the	DET
brj-22082	184	22	displayed	display	VERB
brj-22082	184	23	information	information	NOUN
brj-22082	184	24	is	be	AUX
brj-22082	184	25	only	only	ADV
brj-22082	184	26	superficial	superficial	ADJ
brj-22082	184	27	information	information	NOUN
brj-22082	184	28	,	,	PUNCT
brj-22082	184	29	which	which	PRON
brj-22082	184	30	is	be	AUX
brj-22082	184	31	inconvenient	inconvenient	ADJ
brj-22082	184	32	for	for	ADP
brj-22082	184	33	further	further	ADJ
brj-22082	184	34	observation	observation	NOUN
brj-22082	184	35	and	and	CCONJ
brj-22082	184	36	analysis	analysis	NOUN
brj-22082	184	37	.	.	PUNCT
brj-22082	185	1	therefore	therefore	ADV
brj-22082	185	2	,	,	PUNCT
brj-22082	185	3	the	the	DET
brj-22082	185	4	physical	physical	ADJ
brj-22082	185	5	model	model	NOUN
brj-22082	185	6	can	can	AUX
brj-22082	185	7	only	only	ADV
brj-22082	185	8	be	be	AUX
brj-22082	185	9	restored	restore	VERB
brj-22082	185	10	to	to	ADP
brj-22082	185	11	a	a	DET
brj-22082	185	12	certain	certain	ADJ
brj-22082	185	13	extent	extent	NOUN
brj-22082	185	14	.	.	PUNCT
brj-22082	186	1	fig	fig	NOUN
brj-22082	186	2	.	.	PUNCT
brj-22082	187	1	9	9	X
brj-22082	187	2	.	.	X
brj-22082	187	3	surface	surface	NOUN
brj-22082	187	4	rendering	rendering	NOUN
brj-22082	187	5	reconstruction	reconstruction	NOUN
brj-22082	187	6	results	result	VERB
brj-22082	187	7	volume	volume	NOUN
brj-22082	187	8	rendering	render	VERB
brj-22082	187	9	unlike	unlike	ADP
brj-22082	187	10	surface	surface	NOUN
brj-22082	187	11	rendering	rendering	NOUN
brj-22082	187	12	,	,	PUNCT
brj-22082	187	13	the	the	DET
brj-22082	187	14	advantage	advantage	NOUN
brj-22082	187	15	of	of	ADP
brj-22082	187	16	volume	volume	NOUN
brj-22082	187	17	rendering	rendering	NOUN
brj-22082	187	18	is	be	AUX
brj-22082	187	19	that	that	SCONJ
brj-22082	187	20	it	it	PRON
brj-22082	187	21	does	do	AUX
brj-22082	187	22	not	not	PART
brj-22082	187	23	require	require	VERB
brj-22082	187	24	precise	precise	ADJ
brj-22082	187	25	cutting	cutting	NOUN
brj-22082	187	26	of	of	ADP
brj-22082	187	27	two	two	NUM
brj-22082	187	28	-	-	PUNCT
brj-22082	187	29	dimensional	dimensional	ADJ
brj-22082	187	30	images	image	NOUN
brj-22082	187	31	.	.	PUNCT
brj-22082	188	1	instead	instead	ADV
brj-22082	188	2	it	it	PRON
brj-22082	188	3	processes	process	VERB
brj-22082	188	4	each	each	DET
brj-22082	188	5	voxel	voxel	PROPN
brj-22082	188	6	in	in	ADP
brj-22082	188	7	the	the	DET
brj-22082	188	8	volume	volume	NOUN
brj-22082	188	9	data	datum	NOUN
brj-22082	188	10	set	set	VERB
brj-22082	188	11	separately	separately	ADV
brj-22082	188	12	and	and	CCONJ
brj-22082	188	13	finally	finally	ADV
brj-22082	188	14	reconstructs	reconstruct	VERB
brj-22082	188	15	a	a	DET
brj-22082	188	16	three	three	NUM
brj-22082	188	17	-	-	PUNCT
brj-22082	188	18	dimensional	dimensional	ADJ
brj-22082	188	19	image	image	NOUN
brj-22082	188	20	.	.	PUNCT
brj-22082	189	1	figure	figure	NOUN
brj-22082	189	2	10	10	NUM
brj-22082	189	3	shows	show	VERB
brj-22082	189	4	the	the	DET
brj-22082	189	5	result	result	NOUN
brj-22082	189	6	of	of	ADP
brj-22082	189	7	3d	3d	PROPN
brj-22082	189	8	reconstruction	reconstruction	NOUN
brj-22082	189	9	by	by	ADP
brj-22082	189	10	the	the	DET
brj-22082	189	11	volume	volume	NOUN
brj-22082	189	12	rendering	rendering	NOUN
brj-22082	189	13	method	method	NOUN
brj-22082	189	14	.	.	PUNCT
brj-22082	190	1	this	this	DET
brj-22082	190	2	algorithm	algorithm	NOUN
brj-22082	190	3	can	can	AUX
brj-22082	190	4	recover	recover	VERB
brj-22082	190	5	the	the	DET
brj-22082	190	6	shape	shape	NOUN
brj-22082	190	7	of	of	ADP
brj-22082	190	8	the	the	DET
brj-22082	190	9	trunk	trunk	NOUN
brj-22082	190	10	from	from	ADP
brj-22082	190	11	the	the	DET
brj-22082	190	12	macroscopic	macroscopic	ADJ
brj-22082	190	13	analysis	analysis	NOUN
brj-22082	190	14	,	,	PUNCT
brj-22082	190	15	and	and	CCONJ
brj-22082	190	16	the	the	DET
brj-22082	190	17	introduction	introduction	NOUN
brj-22082	190	18	of	of	ADP
brj-22082	190	19	transparency	transparency	NOUN
brj-22082	190	20	enhances	enhance	VERB
brj-22082	190	21	the	the	DET
brj-22082	190	22	display	display	NOUN
brj-22082	190	23	effect	effect	NOUN
brj-22082	190	24	of	of	ADP
brj-22082	190	25	the	the	DET
brj-22082	190	26	whole	whole	ADJ
brj-22082	190	27	image	image	NOUN
brj-22082	190	28	.	.	PUNCT
brj-22082	191	1	after	after	ADP
brj-22082	191	2	defining	define	VERB
brj-22082	191	3	the	the	DET
brj-22082	191	4	transparency	transparency	NOUN
brj-22082	191	5	of	of	ADP
brj-22082	191	6	the	the	DET
brj-22082	191	7	attributes	attribute	NOUN
brj-22082	191	8	of	of	ADP
brj-22082	191	9	the	the	DET
brj-22082	191	10	constructed	construct	VERB
brj-22082	191	11	fragments	fragment	NOUN
brj-22082	191	12	,	,	PUNCT
brj-22082	191	13	it	it	PRON
brj-22082	191	14	makes	make	VERB
brj-22082	191	15	the	the	DET
brj-22082	191	16	micro	micro	ADJ
brj-22082	191	17	details	detail	NOUN
brj-22082	191	18	such	such	ADJ
brj-22082	191	19	as	as	ADP
brj-22082	191	20	the	the	DET
brj-22082	191	21	shape	shape	NOUN
brj-22082	191	22	and	and	CCONJ
brj-22082	191	23	relative	relative	ADJ
brj-22082	191	24	spatial	spatial	ADJ
brj-22082	191	25	position	position	NOUN
brj-22082	191	26	relationship	relationship	NOUN
brj-22082	191	27	of	of	ADP
brj-22082	191	28	the	the	DET
brj-22082	191	29	internal	internal	ADJ
brj-22082	191	30	defects	defect	NOUN
brj-22082	191	31	of	of	ADP
brj-22082	191	32	the	the	DET
brj-22082	191	33	trunk	trunk	NOUN
brj-22082	191	34	more	more	ADV
brj-22082	191	35	obvious	obvious	ADJ
brj-22082	191	36	,	,	PUNCT
brj-22082	191	37	and	and	CCONJ
brj-22082	191	38	the	the	DET
brj-22082	191	39	visualization	visualization	NOUN
brj-22082	191	40	of	of	ADP
brj-22082	191	41	the	the	DET
brj-22082	191	42	whole	whole	ADJ
brj-22082	191	43	image	image	NOUN
brj-22082	191	44	becomes	become	VERB
brj-22082	191	45	higher	high	ADJ
brj-22082	191	46	.	.	PUNCT
brj-22082	192	1	the	the	DET
brj-22082	192	2	volume	volume	NOUN
brj-22082	192	3	rendering	rendering	NOUN
brj-22082	192	4	algorithm	algorithm	NOUN
brj-22082	192	5	needs	need	VERB
brj-22082	192	6	to	to	PART
brj-22082	192	7	calculate	calculate	VERB
brj-22082	192	8	each	each	DET
brj-22082	192	9	voxel	voxel	PROPN
brj-22082	192	10	in	in	ADP
brj-22082	192	11	the	the	DET
brj-22082	192	12	volume	volume	NOUN
brj-22082	192	13	data	datum	NOUN
brj-22082	192	14	field	field	NOUN
brj-22082	192	15	,	,	PUNCT
brj-22082	192	16	so	so	CCONJ
brj-22082	192	17	the	the	DET
brj-22082	192	18	amount	amount	NOUN
brj-22082	192	19	of	of	ADP
brj-22082	192	20	calculation	calculation	NOUN
brj-22082	192	21	is	be	AUX
brj-22082	192	22	relatively	relatively	ADV
brj-22082	192	23	large	large	ADJ
brj-22082	192	24	,	,	PUNCT
brj-22082	192	25	which	which	PRON
brj-22082	192	26	reduces	reduce	VERB
brj-22082	192	27	the	the	DET
brj-22082	192	28	display	display	NOUN
brj-22082	192	29	speed	speed	NOUN
brj-22082	192	30	of	of	ADP
brj-22082	192	31	the	the	DET
brj-22082	192	32	image	image	NOUN
brj-22082	192	33	,	,	PUNCT
brj-22082	192	34	and	and	CCONJ
brj-22082	192	35	the	the	DET
brj-22082	192	36	change	change	NOUN
brj-22082	192	37	of	of	ADP
brj-22082	192	38	the	the	DET
brj-22082	192	39	viewing	view	VERB
brj-22082	192	40	angle	angle	NOUN
brj-22082	192	41	of	of	ADP
brj-22082	192	42	illumination	illumination	NOUN
brj-22082	192	43	and	and	CCONJ
brj-22082	192	44	display	display	NOUN
brj-22082	192	45	will	will	AUX
brj-22082	192	46	make	make	VERB
brj-22082	192	47	the	the	DET
brj-22082	192	48	whole	whole	ADJ
brj-22082	192	49	rendering	rendering	NOUN
brj-22082	192	50	process	process	NOUN
brj-22082	192	51	start	start	VERB
brj-22082	192	52	again	again	ADV
brj-22082	192	53	.	.	PUNCT
brj-22082	193	1	this	this	DET
brj-22082	193	2	approach	approach	NOUN
brj-22082	193	3	is	be	AUX
brj-22082	193	4	restricted	restrict	VERB
brj-22082	193	5	by	by	ADP
brj-22082	193	6	computer	computer	NOUN
brj-22082	193	7	hardware	hardware	NOUN
brj-22082	193	8	,	,	PUNCT
brj-22082	193	9	so	so	SCONJ
brj-22082	193	10	it	it	PRON
brj-22082	193	11	can	can	AUX
brj-22082	193	12	not	not	PART
brj-22082	193	13	meet	meet	VERB
brj-22082	193	14	the	the	DET
brj-22082	193	15	needs	need	NOUN
brj-22082	193	16	of	of	ADP
brj-22082	193	17	real	real	ADJ
brj-22082	193	18	-	-	PUNCT
brj-22082	193	19	time	time	NOUN
brj-22082	193	20	display	display	NOUN
brj-22082	193	21	.	.	PUNCT
brj-22082	194	1	although	although	SCONJ
brj-22082	194	2	the	the	DET
brj-22082	194	3	speed	speed	NOUN
brj-22082	194	4	of	of	ADP
brj-22082	194	5	using	use	VERB
brj-22082	194	6	this	this	DET
brj-22082	194	7	method	method	NOUN
brj-22082	194	8	to	to	PART
brj-22082	194	9	reconstruct	reconstruct	VERB
brj-22082	194	10	is	be	AUX
brj-22082	194	11	slower	slow	ADJ
brj-22082	194	12	than	than	ADP
brj-22082	194	13	that	that	PRON
brj-22082	194	14	of	of	ADP
brj-22082	194	15	the	the	DET
brj-22082	194	16	surface	surface	NOUN
brj-22082	194	17	reconstruction	reconstruction	NOUN
brj-22082	194	18	method	method	NOUN
brj-22082	194	19	,	,	PUNCT
brj-22082	194	20	after	after	ADP
brj-22082	194	21	processing	process	VERB
brj-22082	194	22	each	each	DET
brj-22082	194	23	voxel	voxel	PROPN
brj-22082	194	24	in	in	ADP
brj-22082	194	25	the	the	DET
brj-22082	194	26	volume	volume	NOUN
brj-22082	194	27	data	datum	NOUN
brj-22082	194	28	set	set	VERB
brj-22082	194	29	,	,	PUNCT
brj-22082	194	30	more	more	ADV
brj-22082	194	31	internal	internal	ADJ
brj-22082	194	32	information	information	NOUN
brj-22082	194	33	of	of	ADP
brj-22082	194	34	the	the	DET
brj-22082	194	35	trunk	trunk	NOUN
brj-22082	194	36	is	be	AUX
brj-22082	194	37	preserved	preserve	VERB
brj-22082	194	38	.	.	PUNCT
brj-22082	195	1	the	the	DET
brj-22082	195	2	details	detail	NOUN
brj-22082	195	3	are	be	AUX
brj-22082	195	4	kept	keep	VERB
brj-22082	195	5	intact	intact	ADJ
brj-22082	195	6	,	,	PUNCT
brj-22082	195	7	so	so	CCONJ
brj-22082	195	8	the	the	DET
brj-22082	195	9	reconstructed	reconstructed	ADJ
brj-22082	195	10	model	model	NOUN
brj-22082	195	11	is	be	AUX
brj-22082	195	12	more	more	ADV
brj-22082	195	13	accurate	accurate	ADJ
brj-22082	195	14	and	and	CCONJ
brj-22082	195	15	convenient	convenient	ADJ
brj-22082	195	16	for	for	ADP
brj-22082	195	17	further	further	ADJ
brj-22082	195	18	observation	observation	NOUN
brj-22082	195	19	and	and	CCONJ
brj-22082	195	20	analysis	analysis	NOUN
brj-22082	195	21	.	.	PUNCT
brj-22082	196	1	peer	peer	NOUN
brj-22082	196	2	-	-	PUNCT
brj-22082	196	3	reviewed	review	VERB
brj-22082	196	4	article	article	NOUN
brj-22082	196	5	bioresources.com	bioresources.com	X
brj-22082	196	6	li	li	PROPN
brj-22082	196	7	et	et	PROPN
brj-22082	196	8	al	al	PROPN
brj-22082	196	9	.	.	PROPN
brj-22082	196	10	(	(	PUNCT
brj-22082	196	11	2022	2022	NUM
brj-22082	196	12	)	)	PUNCT
brj-22082	196	13	.	.	PUNCT
brj-22082	197	1	“	"	PUNCT
brj-22082	197	2	3d	3d	NUM
brj-22082	197	3	reconstruction	reconstruction	NOUN
brj-22082	197	4	of	of	ADP
brj-22082	197	5	tree	tree	NOUN
brj-22082	197	6	decay	decay	NOUN
brj-22082	197	7	,	,	PUNCT
brj-22082	197	8	”	"	PUNCT
brj-22082	197	9	bioresources	bioresource	NOUN
brj-22082	197	10	17(4	17(4	NUM
brj-22082	197	11	)	)	PUNCT
brj-22082	197	12	,	,	PUNCT
brj-22082	197	13	6277	6277	NUM
brj-22082	197	14	-	-	SYM
brj-22082	197	15	6292	6292	NUM
brj-22082	197	16	.	.	PUNCT
brj-22082	198	1	6287	6287	NUM
brj-22082	198	2	fig	fig	NOUN
brj-22082	198	3	.	.	PUNCT
brj-22082	199	1	10	10	NUM
brj-22082	199	2	.	.	PUNCT
brj-22082	200	1	volume	volume	NOUN
brj-22082	200	2	rendering	rendering	NOUN
brj-22082	200	3	reconstruction	reconstruction	NOUN
brj-22082	200	4	results	result	VERB
brj-22082	200	5	development	development	NOUN
brj-22082	200	6	and	and	CCONJ
brj-22082	200	7	validation	validation	NOUN
brj-22082	200	8	of	of	ADP
brj-22082	200	9	3d	3d	NUM
brj-22082	200	10	visualization	visualization	NOUN
brj-22082	200	11	system	system	NOUN
brj-22082	200	12	for	for	ADP
brj-22082	200	13	decay	decay	NOUN
brj-22082	200	14	inside	inside	ADP
brj-22082	200	15	the	the	DET
brj-22082	200	16	tree	tree	NOUN
brj-22082	200	17	using	use	VERB
brj-22082	200	18	surface	surface	NOUN
brj-22082	200	19	rendering	rendering	NOUN
brj-22082	200	20	and	and	CCONJ
brj-22082	200	21	volume	volume	NOUN
brj-22082	200	22	rendering	rendering	NOUN
brj-22082	200	23	for	for	ADP
brj-22082	200	24	3d	3d	PROPN
brj-22082	200	25	reconstruction	reconstruction	NOUN
brj-22082	200	26	,	,	PUNCT
brj-22082	200	27	the	the	DET
brj-22082	200	28	volume	volume	NOUN
brj-22082	200	29	rendering	rendering	NOUN
brj-22082	200	30	method	method	NOUN
brj-22082	200	31	had	have	VERB
brj-22082	200	32	a	a	DET
brj-22082	200	33	better	well	ADJ
brj-22082	200	34	reconstruction	reconstruction	NOUN
brj-22082	200	35	effect	effect	NOUN
brj-22082	200	36	,	,	PUNCT
brj-22082	200	37	and	and	CCONJ
brj-22082	200	38	the	the	DET
brj-22082	200	39	model	model	NOUN
brj-22082	200	40	had	have	VERB
brj-22082	200	41	a	a	DET
brj-22082	200	42	strong	strong	ADJ
brj-22082	200	43	sense	sense	NOUN
brj-22082	200	44	of	of	ADP
brj-22082	200	45	reality	reality	NOUN
brj-22082	200	46	.	.	PUNCT
brj-22082	201	1	based	base	VERB
brj-22082	201	2	on	on	ADP
brj-22082	201	3	the	the	DET
brj-22082	201	4	volume	volume	NOUN
brj-22082	201	5	rendering	rendering	NOUN
brj-22082	201	6	method	method	NOUN
brj-22082	201	7	,	,	PUNCT
brj-22082	201	8	a	a	DET
brj-22082	201	9	3d	3d	NUM
brj-22082	201	10	visualization	visualization	NOUN
brj-22082	201	11	system	system	NOUN
brj-22082	201	12	for	for	ADP
brj-22082	201	13	decay	decay	NOUN
brj-22082	201	14	inside	inside	ADP
brj-22082	201	15	trees	tree	NOUN
brj-22082	201	16	was	be	AUX
brj-22082	201	17	developed	develop	VERB
brj-22082	201	18	that	that	PRON
brj-22082	201	19	generates	generate	VERB
brj-22082	201	20	a	a	DET
brj-22082	201	21	file	file	NOUN
brj-22082	201	22	“	"	PUNCT
brj-22082	201	23	.exe	.exe	PROPN
brj-22082	201	24	”	"	PUNCT
brj-22082	201	25	that	that	PRON
brj-22082	201	26	can	can	AUX
brj-22082	201	27	run	run	VERB
brj-22082	201	28	independently	independently	ADV
brj-22082	201	29	.	.	PUNCT
brj-22082	202	1	the	the	DET
brj-22082	202	2	user	user	NOUN
brj-22082	202	3	does	do	AUX
brj-22082	202	4	not	not	PART
brj-22082	202	5	need	need	VERB
brj-22082	202	6	to	to	PART
brj-22082	202	7	install	install	VERB
brj-22082	202	8	matlab	matlab	PROPN
brj-22082	202	9	,	,	PUNCT
brj-22082	202	10	but	but	CCONJ
brj-22082	202	11	directly	directly	ADV
brj-22082	202	12	installs	install	VERB
brj-22082	202	13	the	the	DET
brj-22082	202	14	executive	executive	ADJ
brj-22082	202	15	program	program	NOUN
brj-22082	202	16	.	.	PUNCT
brj-22082	203	1	the	the	DET
brj-22082	203	2	system	system	NOUN
brj-22082	203	3	provides	provide	VERB
brj-22082	203	4	overall	overall	ADJ
brj-22082	203	5	functions	function	NOUN
brj-22082	203	6	by	by	ADP
brj-22082	203	7	menu	menu	NOUN
brj-22082	203	8	items	item	NOUN
brj-22082	203	9	.	.	PUNCT
brj-22082	204	1	the	the	DET
brj-22082	204	2	menu	menu	NOUN
brj-22082	204	3	function	function	NOUN
brj-22082	204	4	area	area	NOUN
brj-22082	204	5	includes	include	VERB
brj-22082	204	6	file	file	NOUN
brj-22082	204	7	reading	reading	NOUN
brj-22082	204	8	,	,	PUNCT
brj-22082	204	9	model	model	NOUN
brj-22082	204	10	reconstruction	reconstruction	NOUN
brj-22082	204	11	,	,	PUNCT
brj-22082	204	12	and	and	CCONJ
brj-22082	204	13	model	model	NOUN
brj-22082	204	14	export	export	NOUN
brj-22082	204	15	.	.	PUNCT
brj-22082	205	1	after	after	SCONJ
brj-22082	205	2	the	the	DET
brj-22082	205	3	interface	interface	NOUN
brj-22082	205	4	and	and	CCONJ
brj-22082	205	5	properties	property	NOUN
brj-22082	205	6	of	of	ADP
brj-22082	205	7	the	the	DET
brj-22082	205	8	program	program	NOUN
brj-22082	205	9	were	be	AUX
brj-22082	205	10	defined	define	VERB
brj-22082	205	11	,	,	PUNCT
brj-22082	205	12	the	the	DET
brj-22082	205	13	callback	callback	NOUN
brj-22082	205	14	function	function	NOUN
brj-22082	205	15	was	be	AUX
brj-22082	205	16	designed	design	VERB
brj-22082	205	17	corresponding	correspond	VERB
brj-22082	205	18	to	to	ADP
brj-22082	205	19	the	the	DET
brj-22082	205	20	menu	menu	NOUN
brj-22082	205	21	item	item	NOUN
brj-22082	205	22	and	and	CCONJ
brj-22082	205	23	associated	associate	VERB
brj-22082	205	24	its	its	PRON
brj-22082	205	25	item	item	NOUN
brj-22082	205	26	with	with	ADP
brj-22082	205	27	the	the	DET
brj-22082	205	28	callback	callback	NOUN
brj-22082	205	29	function	function	NOUN
brj-22082	205	30	to	to	PART
brj-22082	205	31	realize	realize	VERB
brj-22082	205	32	the	the	DET
brj-22082	205	33	menu	menu	NOUN
brj-22082	205	34	function	function	NOUN
brj-22082	205	35	(	(	PUNCT
brj-22082	205	36	fig	fig	NOUN
brj-22082	205	37	.	.	PUNCT
brj-22082	205	38	11a	11a	NOUN
brj-22082	205	39	)	)	PUNCT
brj-22082	205	40	.	.	PUNCT
brj-22082	206	1	when	when	SCONJ
brj-22082	206	2	using	use	VERB
brj-22082	206	3	this	this	DET
brj-22082	206	4	system	system	NOUN
brj-22082	206	5	,	,	PUNCT
brj-22082	206	6	the	the	DET
brj-22082	206	7	twodimensional	twodimensional	ADJ
brj-22082	206	8	images	image	NOUN
brj-22082	206	9	of	of	ADP
brj-22082	206	10	different	different	ADJ
brj-22082	206	11	heights	height	NOUN
brj-22082	206	12	obtained	obtain	VERB
brj-22082	206	13	by	by	ADP
brj-22082	206	14	tree	tree	NOUN
brj-22082	206	15	radar	radar	NOUN
brj-22082	206	16	are	be	AUX
brj-22082	206	17	preprocessed	preprocesse	VERB
brj-22082	206	18	,	,	PUNCT
brj-22082	206	19	interpolated	interpolate	VERB
brj-22082	206	20	,	,	PUNCT
brj-22082	206	21	and	and	CCONJ
brj-22082	206	22	stored	store	VERB
brj-22082	206	23	in	in	ADP
brj-22082	206	24	the	the	DET
brj-22082	206	25	newly	newly	ADV
brj-22082	206	26	-	-	PUNCT
brj-22082	206	27	built	build	VERB
brj-22082	206	28	folder	folder	NOUN
brj-22082	206	29	.	.	PUNCT
brj-22082	207	1	after	after	ADP
brj-22082	207	2	using	use	VERB
brj-22082	207	3	this	this	DET
brj-22082	207	4	system	system	NOUN
brj-22082	207	5	to	to	PART
brj-22082	207	6	read	read	VERB
brj-22082	207	7	the	the	DET
brj-22082	207	8	file	file	NOUN
brj-22082	207	9	,	,	PUNCT
brj-22082	207	10	the	the	DET
brj-22082	207	11	three	three	NUM
brj-22082	207	12	-	-	PUNCT
brj-22082	207	13	dimensional	dimensional	ADJ
brj-22082	207	14	visualization	visualization	NOUN
brj-22082	207	15	effect	effect	NOUN
brj-22082	207	16	of	of	ADP
brj-22082	207	17	the	the	DET
brj-22082	207	18	defect	defect	NOUN
brj-22082	207	19	is	be	AUX
brj-22082	207	20	displayed	display	VERB
brj-22082	207	21	.	.	PUNCT
brj-22082	208	1	in	in	ADP
brj-22082	208	2	order	order	NOUN
brj-22082	208	3	to	to	PART
brj-22082	208	4	verify	verify	VERB
brj-22082	208	5	the	the	DET
brj-22082	208	6	effectiveness	effectiveness	NOUN
brj-22082	208	7	and	and	CCONJ
brj-22082	208	8	reliability	reliability	NOUN
brj-22082	208	9	of	of	ADP
brj-22082	208	10	the	the	DET
brj-22082	208	11	system	system	NOUN
brj-22082	208	12	and	and	CCONJ
brj-22082	208	13	the	the	DET
brj-22082	208	14	reconstruction	reconstruction	NOUN
brj-22082	208	15	method	method	NOUN
brj-22082	208	16	,	,	PUNCT
brj-22082	208	17	this	this	DET
brj-22082	208	18	study	study	NOUN
brj-22082	208	19	takes	take	VERB
brj-22082	208	20	the	the	DET
brj-22082	208	21	species	specie	NOUN
brj-22082	208	22	gleditsia	gleditsia	NOUN
brj-22082	208	23	sinensis	sinensis	NOUN
brj-22082	208	24	as	as	ADP
brj-22082	208	25	an	an	DET
brj-22082	208	26	example	example	NOUN
brj-22082	208	27	to	to	PART
brj-22082	208	28	reconstruct	reconstruct	VERB
brj-22082	208	29	(	(	PUNCT
brj-22082	208	30	fig	fig	NOUN
brj-22082	208	31	.	.	PUNCT
brj-22082	208	32	11b	11b	NOUN
brj-22082	208	33	)	)	PUNCT
brj-22082	208	34	.	.	PUNCT
brj-22082	209	1	the	the	DET
brj-22082	209	2	study	study	NOUN
brj-22082	209	3	tree	tree	NOUN
brj-22082	209	4	is	be	AUX
brj-22082	209	5	located	locate	VERB
brj-22082	209	6	in	in	ADP
brj-22082	209	7	xianyang	xianyang	PROPN
brj-22082	209	8	city	city	PROPN
brj-22082	209	9	,	,	PUNCT
brj-22082	209	10	shaanxi	shaanxi	PROPN
brj-22082	209	11	province	province	PROPN
brj-22082	209	12	,	,	PUNCT
brj-22082	209	13	china	china	PROPN
brj-22082	209	14	.	.	PUNCT
brj-22082	210	1	it	it	PRON
brj-22082	210	2	is	be	AUX
brj-22082	210	3	an	an	DET
brj-22082	210	4	ancient	ancient	ADJ
brj-22082	210	5	tree	tree	NOUN
brj-22082	210	6	about	about	ADV
brj-22082	210	7	300	300	NUM
brj-22082	210	8	years	year	NOUN
brj-22082	210	9	old	old	ADJ
brj-22082	210	10	,	,	PUNCT
brj-22082	210	11	dbh=135	dbh=135	ADV
brj-22082	210	12	cm	cm	NOUN
brj-22082	210	13	.	.	PUNCT
brj-22082	211	1	the	the	DET
brj-22082	211	2	tree	tree	NOUN
brj-22082	211	3	has	have	VERB
brj-22082	211	4	serious	serious	ADJ
brj-22082	211	5	defects	defect	NOUN
brj-22082	211	6	and	and	CCONJ
brj-22082	211	7	has	have	AUX
brj-22082	211	8	formed	form	VERB
brj-22082	211	9	an	an	DET
brj-22082	211	10	open	open	ADJ
brj-22082	211	11	cavity	cavity	NOUN
brj-22082	211	12	.	.	PUNCT
brj-22082	212	1	the	the	DET
brj-22082	212	2	internal	internal	ADJ
brj-22082	212	3	defect	defect	NOUN
brj-22082	212	4	characteristics	characteristic	NOUN
brj-22082	212	5	can	can	AUX
brj-22082	212	6	be	be	AUX
brj-22082	212	7	directly	directly	ADV
brj-22082	212	8	observed	observe	VERB
brj-22082	212	9	without	without	ADP
brj-22082	212	10	cutting	cut	VERB
brj-22082	212	11	,	,	PUNCT
brj-22082	212	12	which	which	PRON
brj-22082	212	13	is	be	AUX
brj-22082	212	14	convenient	convenient	ADJ
brj-22082	212	15	for	for	ADP
brj-22082	212	16	later	later	ADJ
brj-22082	212	17	comparison	comparison	NOUN
brj-22082	212	18	.	.	PUNCT
brj-22082	213	1	therefore	therefore	ADV
brj-22082	213	2	,	,	PUNCT
brj-22082	213	3	the	the	DET
brj-22082	213	4	method	method	NOUN
brj-22082	213	5	of	of	ADP
brj-22082	213	6	this	this	DET
brj-22082	213	7	study	study	NOUN
brj-22082	213	8	is	be	AUX
brj-22082	213	9	used	use	VERB
brj-22082	213	10	to	to	PART
brj-22082	213	11	acquire	acquire	VERB
brj-22082	213	12	and	and	CCONJ
brj-22082	213	13	preprocess	preprocess	VERB
brj-22082	213	14	the	the	DET
brj-22082	213	15	image	image	NOUN
brj-22082	213	16	of	of	ADP
brj-22082	213	17	the	the	DET
brj-22082	213	18	trunk	trunk	NOUN
brj-22082	213	19	defect	defect	NOUN
brj-22082	213	20	at	at	ADP
brj-22082	213	21	the	the	DET
brj-22082	213	22	height	height	NOUN
brj-22082	213	23	of	of	ADP
brj-22082	213	24	1	1	NUM
brj-22082	213	25	m	m	NOUN
brj-22082	213	26	from	from	ADP
brj-22082	213	27	the	the	DET
brj-22082	213	28	ground	ground	NOUN
brj-22082	213	29	,	,	PUNCT
brj-22082	213	30	and	and	CCONJ
brj-22082	213	31	then	then	ADV
brj-22082	213	32	the	the	DET
brj-22082	213	33	internal	internal	ADJ
brj-22082	213	34	defect	defect	NOUN
brj-22082	213	35	is	be	AUX
brj-22082	213	36	reconstructed	reconstruct	VERB
brj-22082	213	37	by	by	ADP
brj-22082	213	38	this	this	DET
brj-22082	213	39	system	system	NOUN
brj-22082	213	40	.	.	PUNCT
brj-22082	214	1	from	from	ADP
brj-22082	214	2	the	the	DET
brj-22082	214	3	reconstruction	reconstruction	NOUN
brj-22082	214	4	results	result	NOUN
brj-22082	214	5	displayed	display	VERB
brj-22082	214	6	in	in	ADP
brj-22082	214	7	the	the	DET
brj-22082	214	8	system	system	NOUN
brj-22082	214	9	(	(	PUNCT
brj-22082	214	10	fig	fig	NOUN
brj-22082	214	11	.	.	PUNCT
brj-22082	214	12	11a	11a	NOUN
brj-22082	214	13	)	)	PUNCT
brj-22082	214	14	,	,	PUNCT
brj-22082	214	15	this	this	DET
brj-22082	214	16	method	method	NOUN
brj-22082	214	17	can	can	AUX
brj-22082	214	18	directly	directly	ADV
brj-22082	214	19	show	show	VERB
brj-22082	214	20	the	the	DET
brj-22082	214	21	shape	shape	NOUN
brj-22082	214	22	of	of	ADP
brj-22082	214	23	the	the	DET
brj-22082	214	24	wood	wood	NOUN
brj-22082	214	25	defect	defect	NOUN
brj-22082	214	26	and	and	CCONJ
brj-22082	214	27	quantitatively	quantitatively	ADV
brj-22082	214	28	understand	understand	VERB
brj-22082	214	29	the	the	DET
brj-22082	214	30	attenuation	attenuation	NOUN
brj-22082	214	31	volume	volume	NOUN
brj-22082	214	32	of	of	ADP
brj-22082	214	33	the	the	DET
brj-22082	214	34	tree	tree	NOUN
brj-22082	214	35	,	,	PUNCT
brj-22082	214	36	which	which	PRON
brj-22082	214	37	has	have	VERB
brj-22082	214	38	certain	certain	ADJ
brj-22082	214	39	reliability	reliability	NOUN
brj-22082	214	40	and	and	CCONJ
brj-22082	214	41	authenticity	authenticity	NOUN
brj-22082	214	42	.	.	PUNCT
brj-22082	215	1	because	because	SCONJ
brj-22082	215	2	of	of	ADP
brj-22082	215	3	various	various	ADJ
brj-22082	215	4	differences	difference	NOUN
brj-22082	215	5	in	in	ADP
brj-22082	215	6	the	the	DET
brj-22082	215	7	shapes	shape	NOUN
brj-22082	215	8	of	of	ADP
brj-22082	215	9	the	the	DET
brj-22082	215	10	reconstructed	reconstruct	VERB
brj-22082	215	11	objects	object	NOUN
brj-22082	215	12	,	,	PUNCT
brj-22082	215	13	it	it	PRON
brj-22082	215	14	is	be	AUX
brj-22082	215	15	difficult	difficult	ADJ
brj-22082	215	16	to	to	PART
brj-22082	215	17	have	have	VERB
brj-22082	215	18	a	a	DET
brj-22082	215	19	reconstruction	reconstruction	NOUN
brj-22082	215	20	method	method	NOUN
brj-22082	215	21	that	that	PRON
brj-22082	215	22	can	can	AUX
brj-22082	215	23	directly	directly	ADV
brj-22082	215	24	reconstruct	reconstruct	VERB
brj-22082	215	25	objects	object	NOUN
brj-22082	215	26	of	of	ADP
brj-22082	215	27	any	any	DET
brj-22082	215	28	shape	shape	NOUN
brj-22082	215	29	.	.	PUNCT
brj-22082	216	1	hence	hence	ADV
brj-22082	216	2	,	,	PUNCT
brj-22082	216	3	these	these	DET
brj-22082	216	4	methods	method	NOUN
brj-22082	216	5	still	still	ADV
brj-22082	216	6	need	need	VERB
brj-22082	216	7	to	to	PART
brj-22082	216	8	be	be	AUX
brj-22082	216	9	clarified	clarify	VERB
brj-22082	216	10	.	.	PUNCT
brj-22082	217	1	due	due	ADP
brj-22082	217	2	to	to	ADP
brj-22082	217	3	the	the	DET
brj-22082	217	4	limitation	limitation	NOUN
brj-22082	217	5	of	of	ADP
brj-22082	217	6	time	time	NOUN
brj-22082	217	7	and	and	CCONJ
brj-22082	217	8	conditions	condition	NOUN
brj-22082	217	9	,	,	PUNCT
brj-22082	217	10	this	this	DET
brj-22082	217	11	research	research	NOUN
brj-22082	217	12	work	work	NOUN
brj-22082	217	13	only	only	ADV
brj-22082	217	14	involves	involve	VERB
brj-22082	217	15	a	a	DET
brj-22082	217	16	small	small	ADJ
brj-22082	217	17	part	part	NOUN
brj-22082	217	18	of	of	ADP
brj-22082	217	19	all	all	DET
brj-22082	217	20	the	the	DET
brj-22082	217	21	reconstruction	reconstruction	NOUN
brj-22082	217	22	methods	method	NOUN
brj-22082	217	23	,	,	PUNCT
brj-22082	217	24	and	and	CCONJ
brj-22082	217	25	a	a	DET
brj-22082	217	26	lot	lot	NOUN
brj-22082	217	27	of	of	ADP
brj-22082	217	28	work	work	NOUN
brj-22082	217	29	still	still	ADV
brj-22082	217	30	needs	need	VERB
brj-22082	217	31	to	to	PART
brj-22082	217	32	be	be	AUX
brj-22082	217	33	further	far	ADV
brj-22082	217	34	studied	study	VERB
brj-22082	217	35	and	and	CCONJ
brj-22082	217	36	discussed	discuss	VERB
brj-22082	217	37	.	.	PUNCT
brj-22082	218	1	as	as	ADV
brj-22082	218	2	far	far	ADV
brj-22082	218	3	as	as	SCONJ
brj-22082	218	4	this	this	DET
brj-22082	218	5	study	study	NOUN
brj-22082	218	6	is	be	AUX
brj-22082	218	7	concerned	concern	VERB
brj-22082	218	8	,	,	PUNCT
brj-22082	218	9	it	it	PRON
brj-22082	218	10	is	be	AUX
brj-22082	218	11	necessary	necessary	ADJ
brj-22082	218	12	to	to	PART
brj-22082	218	13	continue	continue	VERB
brj-22082	218	14	the	the	DET
brj-22082	218	15	research	research	NOUN
brj-22082	218	16	in	in	ADP
brj-22082	218	17	the	the	DET
brj-22082	218	18	following	follow	VERB
brj-22082	218	19	aspects	aspect	NOUN
brj-22082	218	20	:	:	PUNCT
brj-22082	218	21	(	(	PUNCT
brj-22082	218	22	i	i	NOUN
brj-22082	218	23	)	)	PUNCT
brj-22082	218	24	continue	continue	VERB
brj-22082	218	25	to	to	PART
brj-22082	218	26	study	study	VERB
brj-22082	218	27	the	the	DET
brj-22082	218	28	3d	3d	PROPN
brj-22082	218	29	reconstruction	reconstruction	NOUN
brj-22082	218	30	algorithm	algorithm	NOUN
brj-22082	218	31	in	in	ADP
brj-22082	218	32	depth	depth	NOUN
brj-22082	218	33	.	.	PUNCT
brj-22082	219	1	peer	peer	NOUN
brj-22082	219	2	-	-	PUNCT
brj-22082	219	3	reviewed	review	VERB
brj-22082	219	4	article	article	NOUN
brj-22082	219	5	bioresources.com	bioresources.com	X
brj-22082	219	6	li	li	PROPN
brj-22082	219	7	et	et	PROPN
brj-22082	219	8	al	al	PROPN
brj-22082	219	9	.	.	PROPN
brj-22082	219	10	(	(	PUNCT
brj-22082	219	11	2022	2022	NUM
brj-22082	219	12	)	)	PUNCT
brj-22082	219	13	.	.	PUNCT
brj-22082	220	1	“	"	PUNCT
brj-22082	220	2	3d	3d	NUM
brj-22082	220	3	reconstruction	reconstruction	NOUN
brj-22082	220	4	of	of	ADP
brj-22082	220	5	tree	tree	NOUN
brj-22082	220	6	decay	decay	NOUN
brj-22082	220	7	,	,	PUNCT
brj-22082	220	8	”	"	PUNCT
brj-22082	220	9	bioresources	bioresource	NOUN
brj-22082	220	10	17(4	17(4	NUM
brj-22082	220	11	)	)	PUNCT
brj-22082	220	12	,	,	PUNCT
brj-22082	220	13	6277	6277	NUM
brj-22082	220	14	-	-	SYM
brj-22082	220	15	6292	6292	NUM
brj-22082	220	16	.	.	PUNCT
brj-22082	221	1	6288	6288	NUM
brj-22082	221	2	fig	fig	NOUN
brj-22082	221	3	.	.	PUNCT
brj-22082	222	1	11	11	NUM
brj-22082	222	2	.	.	X
brj-22082	222	3	system	system	NOUN
brj-22082	222	4	operation	operation	NOUN
brj-22082	222	5	interface	interface	NOUN
brj-22082	222	6	and	and	CCONJ
brj-22082	222	7	instance	instance	NOUN
brj-22082	222	8	verification	verification	NOUN
brj-22082	222	9	in	in	ADP
brj-22082	222	10	practice	practice	NOUN
brj-22082	222	11	,	,	PUNCT
brj-22082	222	12	the	the	DET
brj-22082	222	13	object	object	NOUN
brj-22082	222	14	surface	surface	NOUN
brj-22082	222	15	reconstruction	reconstruction	NOUN
brj-22082	222	16	method	method	NOUN
brj-22082	222	17	based	base	VERB
brj-22082	222	18	on	on	ADP
brj-22082	222	19	fault	fault	NOUN
brj-22082	222	20	contour	contour	NOUN
brj-22082	222	21	still	still	ADV
brj-22082	222	22	has	have	VERB
brj-22082	222	23	a	a	DET
brj-22082	222	24	variety	variety	NOUN
brj-22082	222	25	of	of	ADP
brj-22082	222	26	shortcomings	shortcoming	NOUN
brj-22082	222	27	.	.	PUNCT
brj-22082	223	1	the	the	DET
brj-22082	223	2	reconstruction	reconstruction	NOUN
brj-22082	223	3	result	result	NOUN
brj-22082	223	4	is	be	AUX
brj-22082	223	5	not	not	PART
brj-22082	223	6	ideal	ideal	ADJ
brj-22082	223	7	,	,	PUNCT
brj-22082	223	8	so	so	CCONJ
brj-22082	223	9	it	it	PRON
brj-22082	223	10	is	be	AUX
brj-22082	223	11	necessary	necessary	ADJ
brj-22082	223	12	to	to	PART
brj-22082	223	13	study	study	VERB
brj-22082	223	14	other	other	ADJ
brj-22082	223	15	algorithms	algorithm	NOUN
brj-22082	223	16	of	of	ADP
brj-22082	223	17	surface	surface	NOUN
brj-22082	223	18	rendering	rendering	NOUN
brj-22082	223	19	.	.	PUNCT
brj-22082	224	1	(	(	PUNCT
brj-22082	224	2	ii	ii	NOUN
brj-22082	224	3	)	)	PUNCT
brj-22082	224	4	study	study	VERB
brj-22082	224	5	a	a	DET
brj-22082	224	6	hybrid	hybrid	ADJ
brj-22082	224	7	rendering	rendering	NOUN
brj-22082	224	8	method	method	NOUN
brj-22082	224	9	that	that	PRON
brj-22082	224	10	integrates	integrate	VERB
brj-22082	224	11	surface	surface	NOUN
brj-22082	224	12	rendering	rendering	NOUN
brj-22082	224	13	and	and	CCONJ
brj-22082	224	14	volume	volume	NOUN
brj-22082	224	15	rendering	rendering	NOUN
brj-22082	224	16	and	and	CCONJ
brj-22082	224	17	obtains	obtain	VERB
brj-22082	224	18	the	the	DET
brj-22082	224	19	effect	effect	NOUN
brj-22082	224	20	of	of	ADP
brj-22082	224	21	volume	volume	NOUN
brj-22082	224	22	rendering	render	VERB
brj-22082	224	23	at	at	ADP
brj-22082	224	24	a	a	DET
brj-22082	224	25	faster	fast	ADJ
brj-22082	224	26	speed	speed	NOUN
brj-22082	224	27	.	.	PUNCT
brj-22082	225	1	(	(	PUNCT
brj-22082	225	2	iii	iii	X
brj-22082	225	3	)	)	PUNCT
brj-22082	225	4	enrich	enrich	VERB
brj-22082	225	5	the	the	DET
brj-22082	225	6	function	function	NOUN
brj-22082	225	7	of	of	ADP
brj-22082	225	8	the	the	DET
brj-22082	225	9	three	three	NUM
brj-22082	225	10	-	-	PUNCT
brj-22082	225	11	dimensional	dimensional	ADJ
brj-22082	225	12	visualization	visualization	NOUN
brj-22082	225	13	system	system	NOUN
brj-22082	225	14	of	of	ADP
brj-22082	225	15	decay	decay	NOUN
brj-22082	225	16	inside	inside	ADP
brj-22082	225	17	the	the	DET
brj-22082	225	18	tree	tree	NOUN
brj-22082	225	19	.	.	PUNCT
brj-22082	226	1	in	in	ADP
brj-22082	226	2	this	this	DET
brj-22082	226	3	study	study	NOUN
brj-22082	226	4	,	,	PUNCT
brj-22082	226	5	the	the	DET
brj-22082	226	6	development	development	NOUN
brj-22082	226	7	of	of	ADP
brj-22082	226	8	the	the	DET
brj-22082	226	9	system	system	NOUN
brj-22082	226	10	is	be	AUX
brj-22082	226	11	only	only	ADV
brj-22082	226	12	based	base	VERB
brj-22082	226	13	on	on	ADP
brj-22082	226	14	the	the	DET
brj-22082	226	15	volume	volume	NOUN
brj-22082	226	16	drawing	drawing	NOUN
brj-22082	226	17	method	method	NOUN
brj-22082	226	18	.	.	PUNCT
brj-22082	227	1	in	in	ADP
brj-22082	227	2	future	future	NOUN
brj-22082	227	3	,	,	PUNCT
brj-22082	227	4	the	the	DET
brj-22082	227	5	system	system	NOUN
brj-22082	227	6	will	will	AUX
brj-22082	227	7	add	add	VERB
brj-22082	227	8	a	a	DET
brj-22082	227	9	two	two	NUM
brj-22082	227	10	-	-	PUNCT
brj-22082	227	11	dimensional	dimensional	ADJ
brj-22082	227	12	image	image	NOUN
brj-22082	227	13	preprocessing	preprocessing	NOUN
brj-22082	227	14	module	module	NOUN
brj-22082	227	15	and	and	CCONJ
brj-22082	227	16	a	a	DET
brj-22082	227	17	surface	surface	NOUN
brj-22082	227	18	rendering	rendering	NOUN
brj-22082	227	19	module	module	NOUN
brj-22082	227	20	to	to	PART
brj-22082	227	21	enrich	enrich	VERB
brj-22082	227	22	the	the	DET
brj-22082	227	23	system	system	NOUN
brj-22082	227	24	functions	function	NOUN
brj-22082	227	25	to	to	PART
brj-22082	227	26	meet	meet	VERB
brj-22082	227	27	the	the	DET
brj-22082	227	28	different	different	ADJ
brj-22082	227	29	needs	need	NOUN
brj-22082	227	30	of	of	ADP
brj-22082	227	31	users	user	NOUN
brj-22082	227	32	.	.	PUNCT
brj-22082	228	1	peer	peer	NOUN
brj-22082	228	2	-	-	PUNCT
brj-22082	228	3	reviewed	review	VERB
brj-22082	228	4	article	article	NOUN
brj-22082	228	5	bioresources.com	bioresources.com	X
brj-22082	228	6	li	li	PROPN
brj-22082	228	7	et	et	PROPN
brj-22082	228	8	al	al	PROPN
brj-22082	228	9	.	.	PROPN
brj-22082	228	10	(	(	PUNCT
brj-22082	228	11	2022	2022	NUM
brj-22082	228	12	)	)	PUNCT
brj-22082	228	13	.	.	PUNCT
brj-22082	229	1	“	"	PUNCT
brj-22082	229	2	3d	3d	NUM
brj-22082	229	3	reconstruction	reconstruction	NOUN
brj-22082	229	4	of	of	ADP
brj-22082	229	5	tree	tree	NOUN
brj-22082	229	6	decay	decay	NOUN
brj-22082	229	7	,	,	PUNCT
brj-22082	229	8	”	"	PUNCT
brj-22082	229	9	bioresources	bioresource	NOUN
brj-22082	229	10	17(4	17(4	NUM
brj-22082	229	11	)	)	PUNCT
brj-22082	229	12	,	,	PUNCT
brj-22082	229	13	6277	6277	NUM
brj-22082	229	14	-	-	SYM
brj-22082	229	15	6292	6292	NUM
brj-22082	229	16	.	.	PUNCT
brj-22082	230	1	6289	6289	NUM
brj-22082	230	2	conclusions	conclusion	NOUN
brj-22082	230	3	1	1	NUM
brj-22082	230	4	.	.	PUNCT
brj-22082	231	1	the	the	DET
brj-22082	231	2	information	information	NOUN
brj-22082	231	3	contained	contain	VERB
brj-22082	231	4	in	in	ADP
brj-22082	231	5	the	the	DET
brj-22082	231	6	two	two	NUM
brj-22082	231	7	-	-	PUNCT
brj-22082	231	8	dimensional	dimensional	ADJ
brj-22082	231	9	images	image	NOUN
brj-22082	231	10	obtained	obtain	VERB
brj-22082	231	11	by	by	ADP
brj-22082	231	12	tru	tru	PROPN
brj-22082	231	13	radar	radar	NOUN
brj-22082	231	14	scanning	scanning	NOUN
brj-22082	231	15	was	be	AUX
brj-22082	231	16	different	different	ADJ
brj-22082	231	17	from	from	ADP
brj-22082	231	18	that	that	PRON
brj-22082	231	19	of	of	ADP
brj-22082	231	20	ct	ct	NUM
brj-22082	231	21	equipment	equipment	NOUN
brj-22082	231	22	and	and	CCONJ
brj-22082	231	23	stress	stress	NOUN
brj-22082	231	24	wave	wave	NOUN
brj-22082	231	25	equipment	equipment	NOUN
brj-22082	231	26	,	,	PUNCT
brj-22082	231	27	so	so	CCONJ
brj-22082	231	28	the	the	DET
brj-22082	231	29	processed	process	VERB
brj-22082	231	30	image	image	NOUN
brj-22082	231	31	method	method	NOUN
brj-22082	231	32	was	be	AUX
brj-22082	231	33	also	also	ADV
brj-22082	231	34	different	different	ADJ
brj-22082	231	35	.	.	PUNCT
brj-22082	232	1	the	the	DET
brj-22082	232	2	linear	linear	PROPN
brj-22082	232	3	grayscale	grayscale	NOUN
brj-22082	232	4	method	method	NOUN
brj-22082	232	5	improved	improve	VERB
brj-22082	232	6	the	the	DET
brj-22082	232	7	object	object	NOUN
brj-22082	232	8	contrast	contrast	NOUN
brj-22082	232	9	and	and	CCONJ
brj-22082	232	10	solved	solve	VERB
brj-22082	232	11	the	the	DET
brj-22082	232	12	problem	problem	NOUN
brj-22082	232	13	that	that	SCONJ
brj-22082	232	14	the	the	DET
brj-22082	232	15	original	original	ADJ
brj-22082	232	16	image	image	NOUN
brj-22082	232	17	gap	gap	NOUN
brj-22082	232	18	is	be	AUX
brj-22082	232	19	too	too	ADV
brj-22082	232	20	large	large	ADJ
brj-22082	232	21	by	by	ADP
brj-22082	232	22	a	a	DET
brj-22082	232	23	series	series	NOUN
brj-22082	232	24	of	of	ADP
brj-22082	232	25	two	two	NUM
brj-22082	232	26	linear	linear	ADJ
brj-22082	232	27	interpolations	interpolation	NOUN
brj-22082	232	28	,	,	PUNCT
brj-22082	232	29	which	which	PRON
brj-22082	232	30	lays	lay	VERB
brj-22082	232	31	the	the	DET
brj-22082	232	32	foundation	foundation	NOUN
brj-22082	232	33	for	for	ADP
brj-22082	232	34	the	the	DET
brj-22082	232	35	subsequent	subsequent	ADJ
brj-22082	232	36	3d	3d	PROPN
brj-22082	232	37	reconstruction	reconstruction	NOUN
brj-22082	232	38	.	.	PUNCT
brj-22082	233	1	2	2	X
brj-22082	233	2	.	.	PUNCT
brj-22082	233	3	based	base	VERB
brj-22082	233	4	on	on	ADP
brj-22082	233	5	two	two	NUM
brj-22082	233	6	-	-	PUNCT
brj-22082	233	7	dimensional	dimensional	ADJ
brj-22082	233	8	image	image	NOUN
brj-22082	233	9	preprocessing	preprocessing	NOUN
brj-22082	233	10	and	and	CCONJ
brj-22082	233	11	image	image	NOUN
brj-22082	233	12	interpolation	interpolation	NOUN
brj-22082	233	13	of	of	ADP
brj-22082	233	14	tru	tru	PROPN
brj-22082	233	15	tree	tree	NOUN
brj-22082	233	16	radar	radar	NOUN
brj-22082	233	17	,	,	PUNCT
brj-22082	233	18	the	the	DET
brj-22082	233	19	results	result	NOUN
brj-22082	233	20	of	of	ADP
brj-22082	233	21	3d	3d	NOUN
brj-22082	233	22	reconstruction	reconstruction	NOUN
brj-22082	233	23	by	by	ADP
brj-22082	233	24	surface	surface	NOUN
brj-22082	233	25	rendering	rendering	NOUN
brj-22082	233	26	and	and	CCONJ
brj-22082	233	27	volume	volume	NOUN
brj-22082	233	28	rendering	rendering	NOUN
brj-22082	233	29	showed	show	VERB
brj-22082	233	30	that	that	SCONJ
brj-22082	233	31	the	the	DET
brj-22082	233	32	surface	surface	NOUN
brj-22082	233	33	rendering	rendering	NOUN
brj-22082	233	34	algorithm	algorithm	NOUN
brj-22082	233	35	reduced	reduce	VERB
brj-22082	233	36	the	the	DET
brj-22082	233	37	original	original	ADJ
brj-22082	233	38	data	datum	NOUN
brj-22082	233	39	to	to	ADP
brj-22082	233	40	compact	compact	ADJ
brj-22082	233	41	surface	surface	NOUN
brj-22082	233	42	data	datum	NOUN
brj-22082	233	43	.	.	PUNCT
brj-22082	234	1	the	the	DET
brj-22082	234	2	calculations	calculation	NOUN
brj-22082	234	3	can	can	AUX
brj-22082	234	4	run	run	VERB
brj-22082	234	5	quickly	quickly	ADV
brj-22082	234	6	in	in	ADP
brj-22082	234	7	the	the	DET
brj-22082	234	8	matlab	matlab	PROPN
brj-22082	234	9	environment	environment	NOUN
brj-22082	234	10	.	.	PUNCT
brj-22082	235	1	the	the	DET
brj-22082	235	2	study	study	NOUN
brj-22082	235	3	defined	define	VERB
brj-22082	235	4	the	the	DET
brj-22082	235	5	transparency	transparency	NOUN
brj-22082	235	6	of	of	ADP
brj-22082	235	7	the	the	DET
brj-22082	235	8	patches	patch	NOUN
brj-22082	235	9	constructed	construct	VERB
brj-22082	235	10	in	in	ADP
brj-22082	235	11	the	the	DET
brj-22082	235	12	reconstruction	reconstruction	NOUN
brj-22082	235	13	process	process	NOUN
brj-22082	235	14	in	in	ADP
brj-22082	235	15	the	the	DET
brj-22082	235	16	volume	volume	NOUN
brj-22082	235	17	rendering	rendering	NOUN
brj-22082	235	18	,	,	PUNCT
brj-22082	235	19	which	which	PRON
brj-22082	235	20	improved	improve	VERB
brj-22082	235	21	the	the	DET
brj-22082	235	22	visualization	visualization	NOUN
brj-22082	235	23	level	level	NOUN
brj-22082	235	24	of	of	ADP
brj-22082	235	25	microscopic	microscopic	ADJ
brj-22082	235	26	details	detail	NOUN
brj-22082	235	27	,	,	PUNCT
brj-22082	235	28	such	such	ADJ
brj-22082	235	29	as	as	ADP
brj-22082	235	30	the	the	DET
brj-22082	235	31	shape	shape	NOUN
brj-22082	235	32	and	and	CCONJ
brj-22082	235	33	position	position	NOUN
brj-22082	235	34	,	,	PUNCT
brj-22082	235	35	and	and	CCONJ
brj-22082	235	36	did	do	AUX
brj-22082	235	37	not	not	PART
brj-22082	235	38	need	need	VERB
brj-22082	235	39	to	to	PART
brj-22082	235	40	segment	segment	VERB
brj-22082	235	41	.	.	PUNCT
brj-22082	236	1	the	the	DET
brj-22082	236	2	threedimensional	threedimensional	ADJ
brj-22082	236	3	visualization	visualization	NOUN
brj-22082	236	4	system	system	NOUN
brj-22082	236	5	of	of	ADP
brj-22082	236	6	the	the	DET
brj-22082	236	7	decay	decay	NOUN
brj-22082	236	8	tree	tree	NOUN
brj-22082	236	9	was	be	AUX
brj-22082	236	10	designed	design	VERB
brj-22082	236	11	with	with	ADP
brj-22082	236	12	matlab	matlab	PROPN
brj-22082	236	13	/	/	SYM
brj-22082	236	14	gui	gui	NOUN
brj-22082	236	15	,	,	PUNCT
brj-22082	236	16	which	which	PRON
brj-22082	236	17	gets	get	AUX
brj-22082	236	18	rid	rid	VERB
brj-22082	236	19	of	of	ADP
brj-22082	236	20	the	the	DET
brj-22082	236	21	problem	problem	NOUN
brj-22082	236	22	that	that	PRON
brj-22082	236	23	the	the	DET
brj-22082	236	24	“	"	PUNCT
brj-22082	236	25	.m	.m	ADJ
brj-22082	236	26	”	"	PUNCT
brj-22082	236	27	program	program	NOUN
brj-22082	236	28	can	can	AUX
brj-22082	236	29	not	not	PART
brj-22082	236	30	run	run	VERB
brj-22082	236	31	independently	independently	ADV
brj-22082	236	32	without	without	ADP
brj-22082	236	33	matlab	matlab	PROPN
brj-22082	236	34	,	,	PUNCT
brj-22082	236	35	and	and	CCONJ
brj-22082	236	36	the	the	DET
brj-22082	236	37	reliability	reliability	NOUN
brj-22082	236	38	and	and	CCONJ
brj-22082	236	39	authenticity	authenticity	NOUN
brj-22082	236	40	of	of	ADP
brj-22082	236	41	the	the	DET
brj-22082	236	42	research	research	NOUN
brj-22082	236	43	method	method	NOUN
brj-22082	236	44	and	and	CCONJ
brj-22082	236	45	system	system	NOUN
brj-22082	236	46	are	be	AUX
brj-22082	236	47	verified	verify	VERB
brj-22082	236	48	by	by	ADP
brj-22082	236	49	an	an	DET
brj-22082	236	50	example	example	NOUN
brj-22082	236	51	,	,	PUNCT
brj-22082	236	52	which	which	PRON
brj-22082	236	53	lays	lay	VERB
brj-22082	236	54	a	a	DET
brj-22082	236	55	foundation	foundation	NOUN
brj-22082	236	56	for	for	ADP
brj-22082	236	57	the	the	DET
brj-22082	236	58	popularization	popularization	NOUN
brj-22082	236	59	and	and	CCONJ
brj-22082	236	60	application	application	NOUN
brj-22082	236	61	of	of	ADP
brj-22082	236	62	3d	3d	PROPN
brj-22082	236	63	reconstruction	reconstruction	NOUN
brj-22082	236	64	technology	technology	NOUN
brj-22082	236	65	in	in	ADP
brj-22082	236	66	the	the	DET
brj-22082	236	67	field	field	NOUN
brj-22082	236	68	of	of	ADP
brj-22082	236	69	tree	tree	NOUN
brj-22082	236	70	non	non	ADJ
brj-22082	236	71	-	-	ADJ
brj-22082	236	72	destructive	destructive	ADJ
brj-22082	236	73	testing	testing	NOUN
brj-22082	236	74	.	.	PUNCT
brj-22082	237	1	acknowledgments	acknowledgment	NOUN
brj-22082	237	2	this	this	DET
brj-22082	237	3	research	research	NOUN
brj-22082	237	4	was	be	AUX
brj-22082	237	5	supported	support	VERB
brj-22082	237	6	by	by	ADP
brj-22082	237	7	the	the	DET
brj-22082	237	8	national	national	PROPN
brj-22082	237	9	forestry	forestry	PROPN
brj-22082	237	10	public	public	ADJ
brj-22082	237	11	welfare	welfare	NOUN
brj-22082	237	12	industry	industry	NOUN
brj-22082	237	13	scientific	scientific	ADJ
brj-22082	237	14	research	research	NOUN
brj-22082	237	15	project	project	NOUN
brj-22082	237	16	of	of	ADP
brj-22082	237	17	china	china	PROPN
brj-22082	237	18	(	(	PUNCT
brj-22082	237	19	no	no	NOUN
brj-22082	237	20	.	.	NOUN
brj-22082	237	21	201404302	201404302	NUM
brj-22082	237	22	)	)	PUNCT
brj-22082	237	23	and	and	CCONJ
brj-22082	237	24	the	the	DET
brj-22082	237	25	key	key	ADJ
brj-22082	237	26	scientific	scientific	ADJ
brj-22082	237	27	research	research	NOUN
brj-22082	237	28	project	project	NOUN
brj-22082	237	29	of	of	ADP
brj-22082	237	30	northwest	northwest	PROPN
brj-22082	237	31	a&f	a&f	PROPN
brj-22082	237	32	university	university	NOUN
brj-22082	237	33	(	(	PUNCT
brj-22082	237	34	no	no	INTJ
brj-22082	237	35	.	.	PUNCT
brj-22082	238	1	z109021310	z109021310	NUM
brj-22082	238	2	)	)	PUNCT
brj-22082	238	3	.	.	PUNCT
brj-22082	239	1	the	the	DET
brj-22082	239	2	authors	author	NOUN
brj-22082	239	3	thank	thank	VERB
brj-22082	239	4	prof	prof	PROPN
brj-22082	239	5	.	.	PUNCT
brj-22082	240	1	dr	dr	PROPN
brj-22082	240	2	.	.	PROPN
brj-22082	240	3	kang	kang	PROPN
brj-22082	240	4	yong	yong	PROPN
brj-22082	240	5	xiang	xiang	PROPN
brj-22082	240	6	,	,	PUNCT
brj-22082	240	7	dr	dr	PROPN
brj-22082	240	8	.	.	PROPN
brj-22082	240	9	nguyen	nguyen	PROPN
brj-22082	240	10	van	van	PROPN
brj-22082	240	11	quy	quy	PROPN
brj-22082	240	12	,	,	PUNCT
brj-22082	240	13	dr	dr	PROPN
brj-22082	240	14	.	.	PROPN
brj-22082	240	15	zhang	zhang	PROPN
brj-22082	240	16	li	li	PROPN
brj-22082	240	17	li	li	PROPN
brj-22082	240	18	and	and	CCONJ
brj-22082	240	19	dr	dr	PROPN
brj-22082	240	20	.	.	PROPN
brj-22082	240	21	wang	wang	PROPN
brj-22082	240	22	jin	jin	PROPN
brj-22082	240	23	ling	ling	PROPN
brj-22082	240	24	,	,	PUNCT
brj-22082	240	25	and	and	CCONJ
brj-22082	240	26	the	the	DET
brj-22082	240	27	research	research	NOUN
brj-22082	240	28	team	team	NOUN
brj-22082	240	29	of	of	ADP
brj-22082	240	30	northwest	northwest	PROPN
brj-22082	240	31	a&f	a&f	PROPN
brj-22082	240	32	university	university	PROPN
brj-22082	240	33	,	,	PUNCT
brj-22082	240	34	china	china	PROPN
brj-22082	240	35	,	,	PUNCT
brj-22082	240	36	for	for	ADP
brj-22082	240	37	their	their	PRON
brj-22082	240	38	valuable	valuable	ADJ
brj-22082	240	39	assistance	assistance	NOUN
brj-22082	240	40	during	during	ADP
brj-22082	240	41	the	the	DET
brj-22082	240	42	preparation	preparation	NOUN
brj-22082	240	43	of	of	ADP
brj-22082	240	44	the	the	DET
brj-22082	240	45	manuscript	manuscript	NOUN
brj-22082	240	46	.	.	PUNCT
brj-22082	241	1	references	reference	NOUN
brj-22082	241	2	cited	cite	VERB
brj-22082	241	3	alani	alani	PROPN
brj-22082	241	4	,	,	PUNCT
brj-22082	241	5	a.	a.	NOUN
brj-22082	241	6	m.	m.	NOUN
brj-22082	241	7	,	,	PUNCT
brj-22082	241	8	giannakis	giannakis	PROPN
brj-22082	241	9	,	,	PUNCT
brj-22082	241	10	i.	i.	PROPN
brj-22082	241	11	,	,	PUNCT
brj-22082	241	12	zou	zou	PROPN
brj-22082	241	13	,	,	PUNCT
brj-22082	241	14	l.	l.	PROPN
brj-22082	241	15	l.	l.	PROPN
brj-22082	241	16	,	,	PUNCT
brj-22082	241	17	lantini	lantini	PROPN
brj-22082	241	18	,	,	PUNCT
brj-22082	241	19	l.	l.	PROPN
brj-22082	241	20	,	,	PUNCT
brj-22082	241	21	and	and	CCONJ
brj-22082	241	22	tosti	tosti	PROPN
brj-22082	241	23	,	,	PUNCT
brj-22082	241	24	f.	f.	PROPN
brj-22082	241	25	(	(	PUNCT
brj-22082	241	26	2020	2020	NUM
brj-22082	241	27	)	)	PUNCT
brj-22082	241	28	.	.	PUNCT
brj-22082	242	1	“	"	PUNCT
brj-22082	242	2	reverse	reverse	VERB
brj-22082	242	3	-	-	PUNCT
brj-22082	242	4	time	time	NOUN
brj-22082	242	5	migration	migration	NOUN
brj-22082	242	6	for	for	ADP
brj-22082	242	7	evaluating	evaluate	VERB
brj-22082	242	8	the	the	DET
brj-22082	242	9	internal	internal	ADJ
brj-22082	242	10	structure	structure	NOUN
brj-22082	242	11	of	of	ADP
brj-22082	242	12	tree	tree	NOUN
brj-22082	242	13	-	-	PUNCT
brj-22082	242	14	trunks	trunk	NOUN
brj-22082	242	15	using	use	VERB
brj-22082	242	16	ground	ground	NOUN
brj-22082	242	17	-	-	PUNCT
brj-22082	242	18	penetrating	penetrate	VERB
brj-22082	242	19	radar	radar	NOUN
brj-22082	242	20	,	,	PUNCT
brj-22082	242	21	”	"	PUNCT
brj-22082	242	22	ndt	ndt	PROPN
brj-22082	242	23	&	&	CCONJ
brj-22082	242	24	e	e	PROPN
brj-22082	242	25	international	international	ADJ
brj-22082	242	26	115	115	NUM
brj-22082	242	27	,	,	PUNCT
brj-22082	242	28	article	article	NOUN
brj-22082	242	29	no	no	NOUN
brj-22082	242	30	.	.	PROPN
brj-22082	242	31	102294	102294	NUM
brj-22082	242	32	.	.	PUNCT
brj-22082	243	1	doi	doi	NOUN
brj-22082	243	2	:	:	PUNCT
brj-22082	243	3	10.1016	10.1016	NUM
brj-22082	243	4	/	/	SYM
brj-22082	243	5	j.ndteint.2020.102294	j.ndteint.2020.102294	PROPN
brj-22082	243	6	allison	allison	PROPN
brj-22082	243	7	,	,	PUNCT
brj-22082	243	8	r.	r.	PROPN
brj-22082	243	9	b.	b.	PROPN
brj-22082	243	10	,	,	PUNCT
brj-22082	243	11	and	and	CCONJ
brj-22082	243	12	wang	wang	PROPN
brj-22082	243	13	,	,	PUNCT
brj-22082	243	14	x.	x.	PROPN
brj-22082	243	15	p.	p.	NOUN
brj-22082	243	16	(	(	PUNCT
brj-22082	243	17	2015	2015	NUM
brj-22082	243	18	)	)	PUNCT
brj-22082	243	19	.	.	PUNCT
brj-22082	244	1	nondestructive	nondestructive	ADJ
brj-22082	244	2	testing	testing	NOUN
brj-22082	244	3	in	in	ADP
brj-22082	244	4	the	the	DET
brj-22082	244	5	urban	urban	ADJ
brj-22082	244	6	forest	forest	NOUN
brj-22082	244	7	,	,	PUNCT
brj-22082	244	8	usda	usda	PROPN
brj-22082	244	9	forest	forest	PROPN
brj-22082	244	10	service	service	PROPN
brj-22082	244	11	,	,	PUNCT
brj-22082	244	12	forest	forest	NOUN
brj-22082	244	13	products	product	NOUN
brj-22082	244	14	laboratory	laboratory	NOUN
brj-22082	244	15	,	,	PUNCT
brj-22082	244	16	madison	madison	PROPN
brj-22082	244	17	,	,	PUNCT
brj-22082	244	18	wi	wi	PROPN
brj-22082	244	19	,	,	PUNCT
brj-22082	244	20	usa	usa	PROPN
brj-22082	244	21	.	.	PROPN
brj-22082	244	22	arciniegas	arciniegas	PROPN
brj-22082	244	23	,	,	PUNCT
brj-22082	244	24	a.	a.	NOUN
brj-22082	244	25	,	,	PUNCT
brj-22082	244	26	prieto	prieto	NOUN
brj-22082	244	27	,	,	PUNCT
brj-22082	244	28	f.	f.	PROPN
brj-22082	244	29	,	,	PUNCT
brj-22082	244	30	brancheriau	brancheriau	PROPN
brj-22082	244	31	,	,	PUNCT
brj-22082	244	32	l.	l.	PROPN
brj-22082	244	33	,	,	PUNCT
brj-22082	244	34	and	and	CCONJ
brj-22082	244	35	lasaygues	lasaygue	NOUN
brj-22082	244	36	,	,	PUNCT
brj-22082	244	37	p.	p.	NOUN
brj-22082	244	38	(	(	PUNCT
brj-22082	244	39	2014	2014	NUM
brj-22082	244	40	)	)	PUNCT
brj-22082	244	41	.	.	PUNCT
brj-22082	245	1	“	"	PUNCT
brj-22082	245	2	literature	literature	NOUN
brj-22082	245	3	review	review	NOUN
brj-22082	245	4	of	of	ADP
brj-22082	245	5	acoustic	acoustic	ADJ
brj-22082	245	6	and	and	CCONJ
brj-22082	245	7	ultrasonic	ultrasonic	ADJ
brj-22082	245	8	tomography	tomography	NOUN
brj-22082	245	9	in	in	ADP
brj-22082	245	10	standing	standing	NOUN
brj-22082	245	11	trees	tree	NOUN
brj-22082	245	12	,	,	PUNCT
brj-22082	245	13	”	"	PUNCT
brj-22082	245	14	trees	tree	NOUN
brj-22082	245	15	28(6	28(6	NUM
brj-22082	245	16	)	)	PUNCT
brj-22082	245	17	,	,	PUNCT
brj-22082	245	18	1559	1559	NUM
brj-22082	245	19	-	-	SYM
brj-22082	245	20	1567	1567	NUM
brj-22082	245	21	.	.	PUNCT
brj-22082	246	1	doi	doi	NOUN
brj-22082	246	2	:	:	PUNCT
brj-22082	246	3	10.1007	10.1007	NUM
brj-22082	246	4	/	/	SYM
brj-22082	246	5	s00468	s00468	NOUN
brj-22082	246	6	-	-	PUNCT
brj-22082	246	7	014	014	NUM
brj-22082	246	8	-	-	PUNCT
brj-22082	246	9	1062	1062	NUM
brj-22082	246	10	-	-	SYM
brj-22082	246	11	6	6	NUM
brj-22082	246	12	berveglieri	berveglieri	NOUN
brj-22082	246	13	,	,	PUNCT
brj-22082	246	14	a.	a.	NOUN
brj-22082	246	15	,	,	PUNCT
brj-22082	246	16	tommaselli	tommaselli	PROPN
brj-22082	246	17	,	,	PUNCT
brj-22082	246	18	a.	a.	NOUN
brj-22082	246	19	m.	m.	PROPN
brj-22082	246	20	g.	g.	PROPN
brj-22082	246	21	,	,	PUNCT
brj-22082	246	22	liang	liang	PROPN
brj-22082	246	23	x.	x.	PROPN
brj-22082	246	24	l.	l.	PROPN
brj-22082	246	25	,	,	PUNCT
brj-22082	246	26	and	and	CCONJ
brj-22082	246	27	honkavaara	honkavaara	PROPN
brj-22082	246	28	,	,	PUNCT
brj-22082	246	29	e.	e.	PROPN
brj-22082	246	30	(	(	PUNCT
brj-22082	246	31	2017	2017	NUM
brj-22082	246	32	)	)	PUNCT
brj-22082	246	33	.	.	PUNCT
brj-22082	247	1	“	"	PUNCT
brj-22082	247	2	vertical	vertical	ADJ
brj-22082	247	3	optical	optical	ADJ
brj-22082	247	4	scanning	scanning	NOUN
brj-22082	247	5	with	with	ADP
brj-22082	247	6	panoramic	panoramic	ADJ
brj-22082	247	7	vision	vision	NOUN
brj-22082	247	8	for	for	ADP
brj-22082	247	9	tree	tree	NOUN
brj-22082	247	10	trunk	trunk	NOUN
brj-22082	247	11	reconstruction	reconstruction	NOUN
brj-22082	247	12	,	,	PUNCT
brj-22082	247	13	”	"	PUNCT
brj-22082	247	14	sensors	sensor	NOUN
brj-22082	247	15	17(12	17(12	NUM
brj-22082	247	16	)	)	PUNCT
brj-22082	247	17	,	,	PUNCT
brj-22082	247	18	article	article	NOUN
brj-22082	247	19	no	no	NOUN
brj-22082	247	20	.	.	PROPN
brj-22082	247	21	2791	2791	NUM
brj-22082	247	22	.	.	PUNCT
brj-22082	248	1	doi	doi	NOUN
brj-22082	248	2	:	:	PUNCT
brj-22082	248	3	10.3390	10.3390	NUM
brj-22082	248	4	/	/	SYM
brj-22082	248	5	s17122791	s17122791	PROPN
brj-22082	248	6	bhandarkar	bhandarkar	NOUN
brj-22082	248	7	,	,	PUNCT
brj-22082	248	8	s.	s.	PROPN
brj-22082	248	9	m.	m.	PROPN
brj-22082	248	10	,	,	PUNCT
brj-22082	248	11	faust	faust	PROPN
brj-22082	248	12	,	,	PUNCT
brj-22082	248	13	t.	t.	PROPN
brj-22082	248	14	d.	d.	PROPN
brj-22082	248	15	,	,	PUNCT
brj-22082	248	16	and	and	CCONJ
brj-22082	248	17	tang	tang	PROPN
brj-22082	248	18	,	,	PUNCT
brj-22082	248	19	m.	m.	NOUN
brj-22082	248	20	j.	j.	PROPN
brj-22082	248	21	(	(	PUNCT
brj-22082	248	22	1999	1999	NUM
brj-22082	248	23	)	)	PUNCT
brj-22082	248	24	.	.	PUNCT
brj-22082	249	1	“	"	PUNCT
brj-22082	249	2	catalog	catalog	NOUN
brj-22082	249	3	:	:	PUNCT
brj-22082	249	4	a	a	DET
brj-22082	249	5	system	system	NOUN
brj-22082	249	6	for	for	ADP
brj-22082	249	7	peer	peer	NOUN
brj-22082	249	8	-	-	PUNCT
brj-22082	249	9	reviewed	review	VERB
brj-22082	249	10	article	article	NOUN
brj-22082	249	11	bioresources.com	bioresources.com	X
brj-22082	249	12	li	li	PROPN
brj-22082	249	13	et	et	PROPN
brj-22082	249	14	al	al	PROPN
brj-22082	249	15	.	.	PROPN
brj-22082	249	16	(	(	PUNCT
brj-22082	249	17	2022	2022	NUM
brj-22082	249	18	)	)	PUNCT
brj-22082	249	19	.	.	PUNCT
brj-22082	250	1	“	"	PUNCT
brj-22082	250	2	3d	3d	NUM
brj-22082	250	3	reconstruction	reconstruction	NOUN
brj-22082	250	4	of	of	ADP
brj-22082	250	5	tree	tree	NOUN
brj-22082	250	6	decay	decay	NOUN
brj-22082	250	7	,	,	PUNCT
brj-22082	250	8	”	"	PUNCT
brj-22082	250	9	bioresources	bioresource	NOUN
brj-22082	250	10	17(4	17(4	NUM
brj-22082	250	11	)	)	PUNCT
brj-22082	250	12	,	,	PUNCT
brj-22082	250	13	6277	6277	NUM
brj-22082	250	14	-	-	SYM
brj-22082	250	15	6292	6292	NUM
brj-22082	250	16	.	.	PUNCT
brj-22082	251	1	6290	6290	NUM
brj-22082	251	2	detection	detection	NOUN
brj-22082	251	3	and	and	CCONJ
brj-22082	251	4	rendering	rendering	NOUN
brj-22082	251	5	of	of	ADP
brj-22082	251	6	internal	internal	ADJ
brj-22082	251	7	log	log	NOUN
brj-22082	251	8	defects	defect	NOUN
brj-22082	251	9	using	use	VERB
brj-22082	251	10	computer	computer	NOUN
brj-22082	251	11	tomography	tomography	NOUN
brj-22082	251	12	,	,	PUNCT
brj-22082	251	13	”	"	PUNCT
brj-22082	251	14	machine	machine	NOUN
brj-22082	251	15	vision	vision	NOUN
brj-22082	251	16	and	and	CCONJ
brj-22082	251	17	applications	application	NOUN
brj-22082	251	18	11(4	11(4	NUM
brj-22082	251	19	)	)	PUNCT
brj-22082	251	20	,	,	PUNCT
brj-22082	251	21	171	171	NUM
brj-22082	251	22	-	-	SYM
brj-22082	251	23	190	190	NUM
brj-22082	251	24	.	.	PUNCT
brj-22082	252	1	doi	doi	NOUN
brj-22082	252	2	:	:	PUNCT
brj-22082	252	3	10.1007	10.1007	NUM
brj-22082	252	4	/	/	SYM
brj-22082	252	5	s001380050100	s001380050100	PROPN
brj-22082	252	6	bhandarkar	bhandarkar	PROPN
brj-22082	252	7	,	,	PUNCT
brj-22082	252	8	s.	s.	PROPN
brj-22082	252	9	m.	m.	PROPN
brj-22082	252	10	,	,	PUNCT
brj-22082	252	11	luo	luo	PROPN
brj-22082	252	12	,	,	PUNCT
brj-22082	252	13	x.	x.	PROPN
brj-22082	252	14	z.	z.	PROPN
brj-22082	252	15	,	,	PUNCT
brj-22082	252	16	daniels	daniels	PROPN
brj-22082	252	17	,	,	PUNCT
brj-22082	252	18	r.	r.	PROPN
brj-22082	252	19	,	,	PUNCT
brj-22082	252	20	and	and	CCONJ
brj-22082	252	21	tollner	tollner	NOUN
brj-22082	252	22	,	,	PUNCT
brj-22082	252	23	e.	e.	PROPN
brj-22082	252	24	w.	w.	PROPN
brj-22082	252	25	(	(	PUNCT
brj-22082	252	26	2006	2006	NUM
brj-22082	252	27	)	)	PUNCT
brj-22082	252	28	.	.	PUNCT
brj-22082	253	1	“	"	PUNCT
brj-22082	253	2	a	a	DET
brj-22082	253	3	novel	novel	NOUN
brj-22082	253	4	featurebased	featurebase	VERB
brj-22082	253	5	tracking	tracking	NOUN
brj-22082	253	6	approach	approach	NOUN
brj-22082	253	7	to	to	ADP
brj-22082	253	8	the	the	DET
brj-22082	253	9	detection	detection	NOUN
brj-22082	253	10	,	,	PUNCT
brj-22082	253	11	localization	localization	NOUN
brj-22082	253	12	,	,	PUNCT
brj-22082	253	13	and	and	CCONJ
brj-22082	253	14	3	3	NUM
brj-22082	253	15	-	-	PUNCT
brj-22082	253	16	d	d	NOUN
brj-22082	253	17	reconstruction	reconstruction	NOUN
brj-22082	253	18	of	of	ADP
brj-22082	253	19	internal	internal	ADJ
brj-22082	253	20	defects	defect	NOUN
brj-22082	253	21	in	in	ADP
brj-22082	253	22	hardwood	hardwood	NOUN
brj-22082	253	23	logs	log	NOUN
brj-22082	253	24	using	use	VERB
brj-22082	253	25	computer	computer	NOUN
brj-22082	253	26	tomography	tomography	NOUN
brj-22082	253	27	,	,	PUNCT
brj-22082	253	28	”	"	PUNCT
brj-22082	253	29	pattern	pattern	NOUN
brj-22082	253	30	analysis	analysis	NOUN
brj-22082	253	31	&	&	CCONJ
brj-22082	253	32	applications	application	NOUN
brj-22082	253	33	9(2	9(2	NUM
brj-22082	253	34	)	)	PUNCT
brj-22082	253	35	,	,	PUNCT
brj-22082	253	36	155	155	NUM
brj-22082	253	37	-	-	SYM
brj-22082	253	38	175	175	NUM
brj-22082	253	39	.	.	PUNCT
brj-22082	254	1	doi	doi	NOUN
brj-22082	254	2	:	:	PUNCT
brj-22082	254	3	10.1007	10.1007	NUM
brj-22082	254	4	/	/	SYM
brj-22082	254	5	s10044	s10044	PROPN
brj-22082	254	6	-	-	PUNCT
brj-22082	254	7	006	006	NUM
brj-22082	254	8	-	-	PUNCT
brj-22082	254	9	0035	0035	NUM
brj-22082	254	10	-	-	SYM
brj-22082	254	11	9	9	NUM
brj-22082	254	12	chen	chen	PROPN
brj-22082	254	13	,	,	PUNCT
brj-22082	254	14	y.	y.	PROPN
brj-22082	254	15	,	,	PUNCT
brj-22082	254	16	gao	gao	PROPN
brj-22082	254	17	,	,	PUNCT
brj-22082	254	18	t.	t.	PROPN
brj-22082	254	19	,	,	PUNCT
brj-22082	254	20	li	li	PROPN
brj-22082	254	21	,	,	PUNCT
brj-22082	254	22	d.	d.	PROPN
brj-22082	254	23	,	,	PUNCT
brj-22082	254	24	and	and	CCONJ
brj-22082	254	25	guo	guo	PROPN
brj-22082	254	26	,	,	PUNCT
brj-22082	254	27	w.	w.	PROPN
brj-22082	254	28	(	(	PUNCT
brj-22082	254	29	2017	2017	NUM
brj-22082	254	30	)	)	PUNCT
brj-22082	254	31	.	.	PUNCT
brj-22082	255	1	“	"	PUNCT
brj-22082	255	2	detection	detection	NOUN
brj-22082	255	3	and	and	CCONJ
brj-22082	255	4	quantitative	quantitative	ADJ
brj-22082	255	5	evaluation	evaluation	NOUN
brj-22082	255	6	of	of	ADP
brj-22082	255	7	internal	internal	ADJ
brj-22082	255	8	cavity	cavity	NOUN
brj-22082	255	9	of	of	ADP
brj-22082	255	10	pinus	pinus	NOUN
brj-22082	255	11	massoniana	massoniana	PROPN
brj-22082	255	12	wood	wood	NOUN
brj-22082	255	13	by	by	ADP
brj-22082	255	14	radar	radar	NOUN
brj-22082	255	15	testing	testing	NOUN
brj-22082	255	16	technology	technology	NOUN
brj-22082	255	17	,	,	PUNCT
brj-22082	255	18	”	"	PUNCT
brj-22082	255	19	scientia	scientia	PROPN
brj-22082	255	20	silvae	silvae	PROPN
brj-22082	255	21	sinicae	sinicae	PROPN
brj-22082	255	22	53(10	53(10	PROPN
brj-22082	255	23	)	)	PUNCT
brj-22082	255	24	,	,	PUNCT
brj-22082	255	25	139	139	NUM
brj-22082	255	26	-	-	SYM
brj-22082	255	27	145	145	NUM
brj-22082	255	28	.	.	PUNCT
brj-22082	256	1	doi	doi	NOUN
brj-22082	256	2	:	:	PUNCT
brj-22082	256	3	10.11707	10.11707	NUM
brj-22082	256	4	/	/	SYM
brj-22082	256	5	j.1001	j.1001	PROPN
brj-22082	256	6	-	-	PUNCT
brj-22082	256	7	7488.20171015	7488.20171015	NUM
brj-22082	256	8	deflorio	deflorio	PROPN
brj-22082	256	9	,	,	PUNCT
brj-22082	256	10	g.	g.	PROPN
brj-22082	256	11	,	,	PUNCT
brj-22082	256	12	fink	fink	PROPN
brj-22082	256	13	,	,	PUNCT
brj-22082	256	14	s.	s.	PROPN
brj-22082	256	15	,	,	PUNCT
brj-22082	256	16	and	and	CCONJ
brj-22082	256	17	schwarze	schwarze	NOUN
brj-22082	256	18	,	,	PUNCT
brj-22082	256	19	f.	f.	PROPN
brj-22082	256	20	(	(	PUNCT
brj-22082	256	21	2008	2008	NUM
brj-22082	256	22	)	)	PUNCT
brj-22082	256	23	.	.	PUNCT
brj-22082	257	1	“	"	PUNCT
brj-22082	257	2	detection	detection	NOUN
brj-22082	257	3	of	of	ADP
brj-22082	257	4	incipient	incipient	ADJ
brj-22082	257	5	decay	decay	NOUN
brj-22082	257	6	in	in	ADP
brj-22082	257	7	tree	tree	NOUN
brj-22082	257	8	stems	stem	VERB
brj-22082	257	9	with	with	ADP
brj-22082	257	10	sonic	sonic	ADJ
brj-22082	257	11	tomography	tomography	NOUN
brj-22082	257	12	after	after	ADP
brj-22082	257	13	wounding	wound	VERB
brj-22082	257	14	and	and	CCONJ
brj-22082	257	15	fungal	fungal	ADJ
brj-22082	257	16	inoculation	inoculation	NOUN
brj-22082	257	17	,	,	PUNCT
brj-22082	257	18	”	"	PUNCT
brj-22082	257	19	wood	wood	NOUN
brj-22082	257	20	science	science	NOUN
brj-22082	257	21	&	&	CCONJ
brj-22082	257	22	technology	technology	PROPN
brj-22082	257	23	42(2	42(2	PROPN
brj-22082	257	24	)	)	PUNCT
brj-22082	257	25	,	,	PUNCT
brj-22082	257	26	117	117	NUM
brj-22082	257	27	-	-	SYM
brj-22082	257	28	132	132	NUM
brj-22082	257	29	.	.	PUNCT
brj-22082	258	1	doi	doi	NOUN
brj-22082	258	2	:	:	PUNCT
brj-22082	258	3	10.1007	10.1007	NUM
brj-22082	258	4	/	/	SYM
brj-22082	258	5	s00226	s00226	PROPN
brj-22082	258	6	-	-	PUNCT
brj-22082	258	7	007	007	NUM
brj-22082	258	8	-	-	PUNCT
brj-22082	258	9	0159	0159	NUM
brj-22082	258	10	-	-	SYM
brj-22082	258	11	0	0	NUM
brj-22082	258	12	deng	deng	PROPN
brj-22082	258	13	,	,	PUNCT
brj-22082	258	14	s.	s.	PROPN
brj-22082	258	15	l.	l.	PROPN
brj-22082	258	16	,	,	PUNCT
brj-22082	258	17	zhang	zhang	PROPN
brj-22082	258	18	,	,	PUNCT
brj-22082	258	19	l.	l.	PROPN
brj-22082	258	20	y.	y.	PROPN
brj-22082	258	21	,	,	PUNCT
brj-22082	258	22	shi	shi	PROPN
brj-22082	258	23	,	,	PUNCT
brj-22082	258	24	y.	y.	PROPN
brj-22082	258	25	,	,	PUNCT
brj-22082	258	26	quan	quan	PROPN
brj-22082	258	27	,	,	PUNCT
brj-22082	258	28	s.	s.	PROPN
brj-22082	258	29	h.	h.	PROPN
brj-22082	258	30	,	,	PUNCT
brj-22082	258	31	and	and	CCONJ
brj-22082	258	32	wen	wen	PROPN
brj-22082	258	33	,	,	PUNCT
brj-22082	258	34	j.	j.	PROPN
brj-22082	258	35	(	(	PUNCT
brj-22082	258	36	2012	2012	NUM
brj-22082	258	37	)	)	PUNCT
brj-22082	258	38	.	.	PUNCT
brj-22082	259	1	“	"	PUNCT
brj-22082	259	2	3d	3d	NUM
brj-22082	259	3	reconstruction	reconstruction	NOUN
brj-22082	259	4	of	of	ADP
brj-22082	259	5	porous	porous	ADJ
brj-22082	259	6	materials	material	NOUN
brj-22082	259	7	based	base	VERB
brj-22082	259	8	on	on	ADP
brj-22082	259	9	volume	volume	NOUN
brj-22082	259	10	rendering	rendering	NOUN
brj-22082	259	11	,	,	PUNCT
brj-22082	259	12	”	"	PUNCT
brj-22082	259	13	journal	journal	NOUN
brj-22082	259	14	of	of	ADP
brj-22082	259	15	wuhan	wuhan	PROPN
brj-22082	259	16	university	university	PROPN
brj-22082	259	17	of	of	ADP
brj-22082	259	18	technology	technology	NOUN
brj-22082	259	19	(	(	PUNCT
brj-22082	259	20	information	information	NOUN
brj-22082	259	21	&	&	CCONJ
brj-22082	259	22	management	management	PROPN
brj-22082	259	23	engineering	engineering	PROPN
brj-22082	259	24	)	)	PUNCT
brj-22082	259	25	34(1	34(1	NUM
brj-22082	259	26	)	)	PUNCT
brj-22082	259	27	,	,	PUNCT
brj-22082	259	28	42	42	NUM
brj-22082	259	29	-	-	SYM
brj-22082	259	30	45	45	NUM
brj-22082	259	31	.	.	PUNCT
brj-22082	260	1	doi	doi	NOUN
brj-22082	260	2	:	:	PUNCT
brj-22082	260	3	10.3963	10.3963	NUM
brj-22082	260	4	/	/	SYM
brj-22082	260	5	j.issn.1007	j.issn.1007	ADJ
brj-22082	260	6	-	-	PUNCT
brj-22082	260	7	144x.2012.01.012	144x.2012.01.012	NUM
brj-22082	260	8	dong	dong	NOUN
brj-22082	260	9	,	,	PUNCT
brj-22082	260	10	p.	p.	PROPN
brj-22082	260	11	h.	h.	PROPN
brj-22082	260	12	,	,	PUNCT
brj-22082	260	13	and	and	CCONJ
brj-22082	260	14	ke	ke	PROPN
brj-22082	260	15	,	,	PUNCT
brj-22082	260	16	l.	l.	PROPN
brj-22082	260	17	j.	j.	PROPN
brj-22082	260	18	(	(	PUNCT
brj-22082	260	19	2019	2019	NUM
brj-22082	260	20	)	)	PUNCT
brj-22082	260	21	.	.	PUNCT
brj-22082	261	1	“	"	PUNCT
brj-22082	261	2	overview	overview	NOUN
brj-22082	261	3	of	of	ADP
brj-22082	261	4	3d	3d	NUM
brj-22082	261	5	reconstruction	reconstruction	NOUN
brj-22082	261	6	techniques	technique	NOUN
brj-22082	261	7	based	base	VERB
brj-22082	261	8	on	on	ADP
brj-22082	261	9	images	image	NOUN
brj-22082	261	10	,	,	PUNCT
brj-22082	261	11	”	"	PUNCT
brj-22082	261	12	radio	radio	NOUN
brj-22082	261	13	communications	communication	NOUN
brj-22082	261	14	technology	technology	NOUN
brj-22082	261	15	45(2	45(2	NOUN
brj-22082	261	16	)	)	PUNCT
brj-22082	261	17	,	,	PUNCT
brj-22082	261	18	115	115	NUM
brj-22082	261	19	-	-	SYM
brj-22082	261	20	119	119	NUM
brj-22082	261	21	.	.	PUNCT
brj-22082	262	1	doi	doi	NOUN
brj-22082	262	2	:	:	PUNCT
brj-22082	262	3	cnki	cnki	ADJ
brj-22082	262	4	:	:	PUNCT
brj-22082	262	5	sun	sun	NOUN
brj-22082	262	6	:	:	PUNCT
brj-22082	262	7	wxdt.0.2019	wxdt.0.2019	X
brj-22082	262	8	-	-	PUNCT
brj-22082	262	9	02	02	NUM
brj-22082	262	10	-	-	PUNCT
brj-22082	262	11	001	001	NUM
brj-22082	262	12	kang	kang	PROPN
brj-22082	262	13	,	,	PUNCT
brj-22082	262	14	y.	y.	PROPN
brj-22082	262	15	c.	c.	PROPN
brj-22082	262	16	(	(	PUNCT
brj-22082	262	17	2019	2019	NUM
brj-22082	262	18	)	)	PUNCT
brj-22082	262	19	.	.	PUNCT
brj-22082	263	1	study	study	NOUN
brj-22082	263	2	on	on	ADP
brj-22082	263	3	the	the	DET
brj-22082	263	4	law	law	NOUN
brj-22082	263	5	of	of	ADP
brj-22082	263	6	hollow	hollow	ADJ
brj-22082	263	7	corruption	corruption	NOUN
brj-22082	263	8	of	of	ADP
brj-22082	263	9	ancient	ancient	ADJ
brj-22082	263	10	platycladus	platycladus	PROPN
brj-22082	263	11	orientalis	orientali	NOUN
brj-22082	263	12	based	base	VERB
brj-22082	263	13	on	on	ADP
brj-22082	263	14	trutree	trutree	PROPN
brj-22082	263	15	radar	radar	NOUN
brj-22082	263	16	,	,	PUNCT
brj-22082	263	17	master	master	NOUN
brj-22082	263	18	’s	’s	PART
brj-22082	263	19	thesis	thesis	NOUN
brj-22082	263	20	,	,	PUNCT
brj-22082	263	21	northwest	northwest	PROPN
brj-22082	263	22	agriculture	agriculture	PROPN
brj-22082	263	23	&	&	CCONJ
brj-22082	263	24	forestry	forestry	PROPN
brj-22082	263	25	university	university	PROPN
brj-22082	263	26	,	,	PUNCT
brj-22082	263	27	shaanxi	shaanxi	PROPN
brj-22082	263	28	,	,	PUNCT
brj-22082	263	29	china	china	PROPN
brj-22082	263	30	.	.	PUNCT
brj-22082	264	1	levoy	levoy	PROPN
brj-22082	264	2	,	,	PUNCT
brj-22082	264	3	m.	m.	NOUN
brj-22082	264	4	(	(	PUNCT
brj-22082	264	5	1988	1988	NUM
brj-22082	264	6	)	)	PUNCT
brj-22082	264	7	.	.	PUNCT
brj-22082	265	1	“	"	PUNCT
brj-22082	265	2	display	display	NOUN
brj-22082	265	3	of	of	ADP
brj-22082	265	4	surfaces	surface	NOUN
brj-22082	265	5	from	from	ADP
brj-22082	265	6	volume	volume	NOUN
brj-22082	265	7	data	datum	NOUN
brj-22082	265	8	,	,	PUNCT
brj-22082	265	9	”	"	PUNCT
brj-22082	265	10	ieee	ieee	NOUN
brj-22082	265	11	computer	computer	NOUN
brj-22082	265	12	graphics	graphic	NOUN
brj-22082	265	13	and	and	CCONJ
brj-22082	265	14	applications	application	NOUN
brj-22082	265	15	8(3	8(3	NUM
brj-22082	265	16	)	)	PUNCT
brj-22082	265	17	,	,	PUNCT
brj-22082	265	18	29	29	NUM
brj-22082	265	19	-	-	SYM
brj-22082	265	20	37	37	NUM
brj-22082	265	21	.	.	PUNCT
brj-22082	266	1	doi	doi	NOUN
brj-22082	266	2	:	:	PUNCT
brj-22082	266	3	10.1109/38.511	10.1109/38.511	NUM
brj-22082	266	4	li	li	PROPN
brj-22082	266	5	,	,	PUNCT
brj-22082	266	6	w.	w.	PROPN
brj-22082	266	7	l.	l.	PROPN
brj-22082	266	8	,	,	PUNCT
brj-22082	266	9	wen	wen	PROPN
brj-22082	266	10	,	,	PUNCT
brj-22082	266	11	j.	j.	PROPN
brj-22082	266	12	,	,	PUNCT
brj-22082	266	13	xiao	xiao	PROPN
brj-22082	266	14	,	,	PUNCT
brj-22082	266	15	z.	z.	PROPN
brj-22082	266	16	l.	l.	PROPN
brj-22082	266	17	,	,	PUNCT
brj-22082	266	18	zhang	zhang	PROPN
brj-22082	266	19	,	,	PUNCT
brj-22082	266	20	j.	j.	PROPN
brj-22082	266	21	,	,	PUNCT
brj-22082	266	22	and	and	CCONJ
brj-22082	266	23	han	han	PROPN
brj-22082	266	24	,	,	PUNCT
brj-22082	266	25	h.	h.	PROPN
brj-22082	266	26	y.	y.	PROPN
brj-22082	266	27	(	(	PUNCT
brj-22082	266	28	2017	2017	NUM
brj-22082	266	29	)	)	PUNCT
brj-22082	266	30	.	.	PUNCT
brj-22082	267	1	“	"	PUNCT
brj-22082	267	2	detection	detection	NOUN
brj-22082	267	3	of	of	ADP
brj-22082	267	4	internal	internal	ADJ
brj-22082	267	5	anomaly	anomaly	NOUN
brj-22082	267	6	for	for	ADP
brj-22082	267	7	trees	tree	NOUN
brj-22082	267	8	in	in	ADP
brj-22082	267	9	the	the	DET
brj-22082	267	10	summer	summer	NOUN
brj-22082	267	11	palace	palace	NOUN
brj-22082	267	12	based	base	VERB
brj-22082	267	13	on	on	ADP
brj-22082	267	14	radar	radar	NOUN
brj-22082	267	15	,	,	PUNCT
brj-22082	267	16	”	"	PUNCT
brj-22082	267	17	journal	journal	NOUN
brj-22082	267	18	of	of	ADP
brj-22082	267	19	fujian	fujian	PROPN
brj-22082	267	20	agriculture	agriculture	PROPN
brj-22082	267	21	and	and	CCONJ
brj-22082	267	22	forestry	forestry	PROPN
brj-22082	267	23	university	university	PROPN
brj-22082	267	24	(	(	PUNCT
brj-22082	267	25	natural	natural	ADJ
brj-22082	267	26	science	science	NOUN
brj-22082	267	27	edition	edition	NOUN
brj-22082	267	28	)	)	PUNCT
brj-22082	267	29	46(6	46(6	NOUN
brj-22082	267	30	)	)	PUNCT
brj-22082	267	31	,	,	PUNCT
brj-22082	267	32	665	665	NUM
brj-22082	267	33	-	-	SYM
brj-22082	267	34	671	671	NUM
brj-22082	267	35	.	.	PUNCT
brj-22082	268	1	doi	doi	NOUN
brj-22082	268	2	:	:	PUNCT
brj-22082	268	3	10.13323	10.13323	NUM
brj-22082	268	4	/	/	SYM
brj-22082	268	5	j.cnki.j.fafu(nat.sci.).2017.06.011	j.cnki.j.fafu(nat.sci.).2017.06.011	PROPN
brj-22082	268	6	li	li	PROPN
brj-22082	268	7	,	,	PUNCT
brj-22082	268	8	w.	w.	PROPN
brj-22082	268	9	l.	l.	PROPN
brj-22082	268	10	,	,	PUNCT
brj-22082	268	11	wen	wen	PROPN
brj-22082	268	12	,	,	PUNCT
brj-22082	268	13	j.	j.	PROPN
brj-22082	268	14	,	,	PUNCT
brj-22082	268	15	xiao	xiao	PROPN
brj-22082	268	16	,	,	PUNCT
brj-22082	268	17	z.	z.	PROPN
brj-22082	268	18	l.	l.	PROPN
brj-22082	268	19	,	,	PUNCT
brj-22082	268	20	xu	xu	PROPN
brj-22082	268	21	,	,	PUNCT
brj-22082	268	22	s.	s.	PROPN
brj-22082	268	23	x.	x.	PROPN
brj-22082	268	24	(	(	PUNCT
brj-22082	268	25	2018	2018	NUM
brj-22082	268	26	)	)	PUNCT
brj-22082	268	27	.	.	PUNCT
brj-22082	269	1	“	"	PUNCT
brj-22082	269	2	application	application	NOUN
brj-22082	269	3	of	of	ADP
brj-22082	269	4	ground	ground	NOUN
brj-22082	269	5	-	-	PUNCT
brj-22082	269	6	penetrating	penetrate	VERB
brj-22082	269	7	radar	radar	NOUN
brj-22082	269	8	for	for	ADP
brj-22082	269	9	detecting	detect	VERB
brj-22082	269	10	internal	internal	ADJ
brj-22082	269	11	anomalies	anomaly	NOUN
brj-22082	269	12	in	in	ADP
brj-22082	269	13	tree	tree	NOUN
brj-22082	269	14	trunks	trunk	NOUN
brj-22082	269	15	with	with	ADP
brj-22082	269	16	irregular	irregular	ADJ
brj-22082	269	17	contours	contours	NOUN
brj-22082	269	18	,	,	PUNCT
brj-22082	269	19	”	"	PUNCT
brj-22082	269	20	sensors	sensor	NOUN
brj-22082	269	21	18(2	18(2	NUM
brj-22082	269	22	)	)	PUNCT
brj-22082	269	23	,	,	PUNCT
brj-22082	269	24	649	649	NUM
brj-22082	269	25	.	.	PUNCT
brj-22082	270	1	doi	doi	NOUN
brj-22082	270	2	:	:	PUNCT
brj-22082	270	3	10.3390	10.3390	NUM
brj-22082	270	4	/	/	SYM
brj-22082	270	5	s18020649	s18020649	NOUN
brj-22082	270	6	li	li	NOUN
brj-22082	270	7	,	,	PUNCT
brj-22082	270	8	x.	x.	PROPN
brj-22082	270	9	y.	y.	PROPN
brj-22082	270	10	(	(	PUNCT
brj-22082	270	11	2008	2008	NUM
brj-22082	270	12	)	)	PUNCT
brj-22082	270	13	.	.	PUNCT
brj-22082	271	1	research	research	NOUN
brj-22082	271	2	and	and	CCONJ
brj-22082	271	3	implement	implement	NOUN
brj-22082	271	4	of	of	ADP
brj-22082	271	5	the	the	DET
brj-22082	271	6	3d	3d	PROPN
brj-22082	271	7	surface	surface	NOUN
brj-22082	271	8	reconstruction	reconstruction	NOUN
brj-22082	271	9	,	,	PUNCT
brj-22082	271	10	master	master	NOUN
brj-22082	271	11	’s	’s	PART
brj-22082	271	12	thesis	thesis	NOUN
brj-22082	271	13	,	,	PUNCT
brj-22082	271	14	central	central	ADJ
brj-22082	271	15	south	south	PROPN
brj-22082	271	16	university	university	PROPN
brj-22082	271	17	,	,	PUNCT
brj-22082	271	18	hunan	hunan	PROPN
brj-22082	271	19	,	,	PUNCT
brj-22082	271	20	china	china	PROPN
brj-22082	271	21	.	.	PUNCT
brj-22082	272	1	liu	liu	PROPN
brj-22082	272	2	,	,	PUNCT
brj-22082	272	3	g.	g.	PROPN
brj-22082	272	4	(	(	PUNCT
brj-22082	272	5	2006	2006	NUM
brj-22082	272	6	)	)	PUNCT
brj-22082	272	7	.	.	PUNCT
brj-22082	273	1	study	study	NOUN
brj-22082	273	2	on	on	ADP
brj-22082	273	3	reconstruction	reconstruction	NOUN
brj-22082	273	4	form	form	VERB
brj-22082	273	5	a	a	DET
brj-22082	273	6	collection	collection	NOUN
brj-22082	273	7	of	of	ADP
brj-22082	273	8	planar	planar	ADJ
brj-22082	273	9	contours	contours	NOUN
brj-22082	273	10	,	,	PUNCT
brj-22082	273	11	master	master	NOUN
brj-22082	273	12	’s	’s	PART
brj-22082	273	13	thesis	thesis	NOUN
brj-22082	273	14	,	,	PUNCT
brj-22082	273	15	shandong	shandong	PROPN
brj-22082	273	16	university	university	PROPN
brj-22082	273	17	of	of	ADP
brj-22082	273	18	science	science	NOUN
brj-22082	273	19	and	and	CCONJ
brj-22082	273	20	technology	technology	NOUN
brj-22082	273	21	,	,	PUNCT
brj-22082	273	22	jinan	jinan	PROPN
brj-22082	273	23	,	,	PUNCT
brj-22082	273	24	china	china	PROPN
brj-22082	273	25	.	.	PUNCT
brj-22082	274	1	liu	liu	PROPN
brj-22082	274	2	,	,	PUNCT
brj-22082	274	3	m.	m.	NOUN
brj-22082	274	4	,	,	PUNCT
brj-22082	274	5	xue	xue	PROPN
brj-22082	274	6	,	,	PUNCT
brj-22082	274	7	x.	x.	PROPN
brj-22082	274	8	s.	s.	PROPN
brj-22082	274	9	,	,	PUNCT
brj-22082	274	10	liu	liu	PROPN
brj-22082	274	11	,	,	PUNCT
brj-22082	274	12	g.	g.	PROPN
brj-22082	274	13	w.	w.	PROPN
brj-22082	274	14	,	,	PUNCT
brj-22082	274	15	liu	liu	PROPN
brj-22082	274	16	,	,	PUNCT
brj-22082	274	17	z.	z.	PROPN
brj-22082	274	18	,	,	PUNCT
brj-22082	274	19	and	and	CCONJ
brj-22082	274	20	cai	cai	X
brj-22082	274	21	,	,	PUNCT
brj-22082	274	22	h.	h.	PROPN
brj-22082	274	23	(	(	PUNCT
brj-22082	274	24	2018	2018	NUM
brj-22082	274	25	)	)	PUNCT
brj-22082	274	26	.	.	PUNCT
brj-22082	275	1	“	"	PUNCT
brj-22082	275	2	color	color	NOUN
brj-22082	275	3	to	to	ADP
brj-22082	275	4	grayscale	grayscale	NOUN
brj-22082	275	5	algorithm	algorithm	NOUN
brj-22082	275	6	based	base	VERB
brj-22082	275	7	on	on	ADP
brj-22082	275	8	local	local	ADJ
brj-22082	275	9	contrast	contrast	NOUN
brj-22082	275	10	enhancement	enhancement	NOUN
brj-22082	275	11	in	in	ADP
brj-22082	275	12	contourlet	contourlet	NOUN
brj-22082	275	13	transform	transform	NOUN
brj-22082	275	14	domain	domain	NOUN
brj-22082	275	15	,	,	PUNCT
brj-22082	275	16	”	"	PUNCT
brj-22082	275	17	journal	journal	NOUN
brj-22082	275	18	of	of	ADP
brj-22082	275	19	changchun	changchun	PROPN
brj-22082	275	20	university	university	PROPN
brj-22082	275	21	of	of	ADP
brj-22082	275	22	science	science	NOUN
brj-22082	275	23	and	and	CCONJ
brj-22082	275	24	technology	technology	NOUN
brj-22082	275	25	(	(	PUNCT
brj-22082	275	26	natural	natural	ADJ
brj-22082	275	27	science	science	NOUN
brj-22082	275	28	edition	edition	PROPN
brj-22082	275	29	)	)	PUNCT
brj-22082	275	30	41(5	41(5	NUM
brj-22082	275	31	)	)	PUNCT
brj-22082	275	32	,	,	PUNCT
brj-22082	275	33	70	70	NUM
brj-22082	275	34	-	-	SYM
brj-22082	275	35	74	74	NUM
brj-22082	275	36	.	.	PUNCT
brj-22082	276	1	doi	doi	NOUN
brj-22082	276	2	:	:	PUNCT
brj-22082	276	3	10.3969	10.3969	NUM
brj-22082	276	4	/	/	SYM
brj-22082	276	5	j.issn.1672	j.issn.1672	NOUN
brj-22082	276	6	-	-	PUNCT
brj-22082	276	7	9870.2018.05.017	9870.2018.05.017	PROPN
brj-22082	276	8	liu	liu	PROPN
brj-22082	276	9	,	,	PUNCT
brj-22082	276	10	x.	x.	PROPN
brj-22082	276	11	d.	d.	PROPN
brj-22082	276	12	,	,	PUNCT
brj-22082	276	13	kang	kang	PROPN
brj-22082	276	14	,	,	PUNCT
brj-22082	276	15	y.	y.	PROPN
brj-22082	276	16	x.	x.	PROPN
brj-22082	276	17	,	,	PUNCT
brj-22082	276	18	gan	gan	PROPN
brj-22082	276	19	,	,	PUNCT
brj-22082	276	20	m.	m.	NOUN
brj-22082	276	21	x.	x.	PROPN
brj-22082	276	22	,	,	PUNCT
brj-22082	276	23	li	li	PROPN
brj-22082	276	24	,	,	PUNCT
brj-22082	276	25	x.	x.	PROPN
brj-22082	276	26	j.	j.	PROPN
brj-22082	276	27	,	,	PUNCT
brj-22082	276	28	and	and	CCONJ
brj-22082	276	29	liu	liu	PROPN
brj-22082	276	30	,	,	PUNCT
brj-22082	276	31	w.	w.	PROPN
brj-22082	276	32	(	(	PUNCT
brj-22082	276	33	2017	2017	NUM
brj-22082	276	34	)	)	PUNCT
brj-22082	276	35	.	.	PUNCT
brj-22082	277	1	“	"	PUNCT
brj-22082	277	2	a	a	DET
brj-22082	277	3	study	study	NOUN
brj-22082	277	4	on	on	ADP
brj-22082	277	5	trunk	trunk	NOUN
brj-22082	277	6	decay	decay	NOUN
brj-22082	277	7	of	of	ADP
brj-22082	277	8	ancient	ancient	ADJ
brj-22082	277	9	platycladus	platycladus	ADJ
brj-22082	277	10	orientalis	orientali	NOUN
brj-22082	277	11	in	in	ADP
brj-22082	277	12	tomb	tomb	NOUN
brj-22082	277	13	of	of	ADP
brj-22082	277	14	yellow	yellow	ADJ
brj-22082	277	15	emperor	emperor	NOUN
brj-22082	277	16	,	,	PUNCT
brj-22082	277	17	”	"	PUNCT
brj-22082	277	18	journal	journal	NOUN
brj-22082	277	19	of	of	ADP
brj-22082	277	20	northwest	northwest	PROPN
brj-22082	277	21	forestry	forestry	PROPN
brj-22082	277	22	university	university	PROPN
brj-22082	277	23	32(2	32(2	NOUN
brj-22082	277	24	)	)	PUNCT
brj-22082	277	25	,	,	PUNCT
brj-22082	277	26	180	180	NUM
brj-22082	277	27	-	-	SYM
brj-22082	277	28	187	187	NUM
brj-22082	277	29	.	.	PUNCT
brj-22082	278	1	doi	doi	NOUN
brj-22082	278	2	:	:	PUNCT
brj-22082	278	3	10.3969	10.3969	NUM
brj-22082	278	4	/	/	SYM
brj-22082	278	5	j.issn.1001	j.issn.1001	NOUN
brj-22082	278	6	-	-	PUNCT
brj-22082	278	7	7461.2017.02.31	7461.2017.02.31	NUM
brj-22082	278	8	lu	lu	PROPN
brj-22082	278	9	,	,	PUNCT
brj-22082	278	10	j.	j.	PROPN
brj-22082	278	11	b.	b.	PROPN
brj-22082	278	12	(	(	PUNCT
brj-22082	278	13	2003	2003	NUM
brj-22082	278	14	)	)	PUNCT
brj-22082	278	15	.	.	PUNCT
brj-22082	279	1	“	"	PUNCT
brj-22082	279	2	a	a	DET
brj-22082	279	3	new	new	ADJ
brj-22082	279	4	encoding	encoding	NOUN
brj-22082	279	5	method	method	NOUN
brj-22082	279	6	for	for	ADP
brj-22082	279	7	bitmap	bitmap	NOUN
brj-22082	279	8	and	and	CCONJ
brj-22082	279	9	its	its	PRON
brj-22082	279	10	applications	application	NOUN
brj-22082	279	11	,	,	PUNCT
brj-22082	279	12	”	"	PUNCT
brj-22082	279	13	computer	computer	NOUN
brj-22082	279	14	engineering	engineering	NOUN
brj-22082	279	15	and	and	CCONJ
brj-22082	279	16	applications	application	NOUN
brj-22082	279	17	39(34	39(34	NUM
brj-22082	279	18	)	)	PUNCT
brj-22082	279	19	,	,	PUNCT
brj-22082	279	20	102	102	NUM
brj-22082	279	21	-	-	SYM
brj-22082	279	22	103	103	NUM
brj-22082	279	23	.	.	PUNCT
brj-22082	280	1	doi	doi	NOUN
brj-22082	280	2	:	:	PUNCT
brj-22082	280	3	10.3321	10.3321	NUM
brj-22082	280	4	/	/	SYM
brj-22082	280	5	j.issn:1002	j.issn:1002	NOUN
brj-22082	280	6	-	-	ADJ
brj-22082	280	7	8331.2003.34.034	8331.2003.34.034	ADJ
brj-22082	280	8	peer	peer	NOUN
brj-22082	280	9	-	-	PUNCT
brj-22082	280	10	reviewed	review	VERB
brj-22082	280	11	article	article	NOUN
brj-22082	280	12	bioresources.com	bioresources.com	X
brj-22082	280	13	li	li	PROPN
brj-22082	280	14	et	et	PROPN
brj-22082	280	15	al	al	PROPN
brj-22082	280	16	.	.	PROPN
brj-22082	280	17	(	(	PUNCT
brj-22082	280	18	2022	2022	NUM
brj-22082	280	19	)	)	PUNCT
brj-22082	280	20	.	.	PUNCT
brj-22082	281	1	“	"	PUNCT
brj-22082	281	2	3d	3d	NUM
brj-22082	281	3	reconstruction	reconstruction	NOUN
brj-22082	281	4	of	of	ADP
brj-22082	281	5	tree	tree	NOUN
brj-22082	281	6	decay	decay	NOUN
brj-22082	281	7	,	,	PUNCT
brj-22082	281	8	”	"	PUNCT
brj-22082	281	9	bioresources	bioresource	NOUN
brj-22082	281	10	17(4	17(4	NUM
brj-22082	281	11	)	)	PUNCT
brj-22082	281	12	,	,	PUNCT
brj-22082	281	13	6277	6277	NUM
brj-22082	281	14	-	-	SYM
brj-22082	281	15	6292	6292	NUM
brj-22082	281	16	.	.	PUNCT
brj-22082	282	1	6291	6291	NUM
brj-22082	282	2	nicolotti	nicolotti	VERB
brj-22082	282	3	,	,	PUNCT
brj-22082	282	4	g.	g.	PROPN
brj-22082	282	5	,	,	PUNCT
brj-22082	282	6	socco	socco	PROPN
brj-22082	282	7	,	,	PUNCT
brj-22082	282	8	l.	l.	PROPN
brj-22082	282	9	v.	v.	PROPN
brj-22082	282	10	,	,	PUNCT
brj-22082	282	11	martinis	martinis	PROPN
brj-22082	282	12	,	,	PUNCT
brj-22082	282	13	r.	r.	PROPN
brj-22082	282	14	,	,	PUNCT
brj-22082	282	15	godio	godio	NOUN
brj-22082	282	16	,	,	PUNCT
brj-22082	282	17	a.	a.	NOUN
brj-22082	282	18	,	,	PUNCT
brj-22082	282	19	and	and	CCONJ
brj-22082	282	20	sambuelli	sambuelli	PROPN
brj-22082	282	21	,	,	PUNCT
brj-22082	282	22	l.	l.	PROPN
brj-22082	282	23	(	(	PUNCT
brj-22082	282	24	2003	2003	NUM
brj-22082	282	25	)	)	PUNCT
brj-22082	282	26	.	.	PUNCT
brj-22082	283	1	“	"	PUNCT
brj-22082	283	2	application	application	NOUN
brj-22082	283	3	and	and	CCONJ
brj-22082	283	4	comparison	comparison	NOUN
brj-22082	283	5	of	of	ADP
brj-22082	283	6	three	three	NUM
brj-22082	283	7	tomographic	tomographic	ADJ
brj-22082	283	8	techniques	technique	NOUN
brj-22082	283	9	for	for	ADP
brj-22082	283	10	detection	detection	NOUN
brj-22082	283	11	of	of	ADP
brj-22082	283	12	decay	decay	NOUN
brj-22082	283	13	in	in	ADP
brj-22082	283	14	trees	tree	NOUN
brj-22082	283	15	,	,	PUNCT
brj-22082	283	16	”	"	PUNCT
brj-22082	283	17	journal	journal	NOUN
brj-22082	283	18	of	of	ADP
brj-22082	283	19	arboriculture	arboriculture	NOUN
brj-22082	283	20	29(2	29(2	NOUN
brj-22082	283	21	)	)	PUNCT
brj-22082	283	22	,	,	PUNCT
brj-22082	283	23	66	66	NUM
brj-22082	283	24	-	-	SYM
brj-22082	283	25	78	78	NUM
brj-22082	283	26	.	.	PUNCT
brj-22082	284	1	doi	doi	NOUN
brj-22082	284	2	:	:	PUNCT
brj-22082	284	3	10.48044	10.48044	NUM
brj-22082	284	4	/	/	SYM
brj-22082	284	5	jauf.2003.009	jauf.2003.009	PROPN
brj-22082	284	6	putman	putman	PROPN
brj-22082	284	7	,	,	PUNCT
brj-22082	284	8	e.	e.	PROPN
brj-22082	284	9	b.	b.	PROPN
brj-22082	284	10	,	,	PUNCT
brj-22082	284	11	popescu	popescu	PROPN
brj-22082	284	12	,	,	PUNCT
brj-22082	284	13	s.	s.	PROPN
brj-22082	284	14	c.	c.	PROPN
brj-22082	284	15	,	,	PUNCT
brj-22082	284	16	eriksson	eriksson	PROPN
brj-22082	284	17	,	,	PUNCT
brj-22082	284	18	m.	m.	NOUN
brj-22082	284	19	,	,	PUNCT
brj-22082	284	20	zhou	zhou	PROPN
brj-22082	284	21	,	,	PUNCT
brj-22082	284	22	t.	t.	PROPN
brj-22082	284	23	,	,	PUNCT
brj-22082	284	24	klockow	klockow	NOUN
brj-22082	284	25	,	,	PUNCT
brj-22082	284	26	p.	p.	NOUN
brj-22082	284	27	,	,	PUNCT
brj-22082	284	28	vogel	vogel	PROPN
brj-22082	284	29	,	,	PUNCT
brj-22082	284	30	j.	j.	PROPN
brj-22082	284	31	,	,	PUNCT
brj-22082	284	32	and	and	CCONJ
brj-22082	284	33	moore	moore	PROPN
brj-22082	284	34	,	,	PUNCT
brj-22082	284	35	g.	g.	PROPN
brj-22082	284	36	w.	w.	PROPN
brj-22082	284	37	(	(	PUNCT
brj-22082	284	38	2018	2018	NUM
brj-22082	284	39	)	)	PUNCT
brj-22082	284	40	.	.	PUNCT
brj-22082	285	1	“	"	PUNCT
brj-22082	285	2	detecting	detect	VERB
brj-22082	285	3	and	and	CCONJ
brj-22082	285	4	quantifying	quantify	VERB
brj-22082	285	5	standing	stand	VERB
brj-22082	285	6	dead	dead	ADJ
brj-22082	285	7	tree	tree	NOUN
brj-22082	285	8	structural	structural	ADJ
brj-22082	285	9	loss	loss	NOUN
brj-22082	285	10	with	with	ADP
brj-22082	285	11	reconstructed	reconstructed	ADJ
brj-22082	285	12	tree	tree	NOUN
brj-22082	285	13	models	model	NOUN
brj-22082	285	14	using	use	VERB
brj-22082	285	15	voxelized	voxelize	VERB
brj-22082	285	16	terrestrial	terrestrial	ADJ
brj-22082	285	17	lidar	lidar	NOUN
brj-22082	285	18	data	datum	NOUN
brj-22082	285	19	,	,	PUNCT
brj-22082	285	20	”	"	PUNCT
brj-22082	285	21	remote	remote	ADJ
brj-22082	285	22	sensing	sensing	NOUN
brj-22082	285	23	of	of	ADP
brj-22082	285	24	environment	environment	NOUN
brj-22082	285	25	209	209	NUM
brj-22082	285	26	,	,	PUNCT
brj-22082	285	27	52	52	NUM
brj-22082	285	28	-	-	SYM
brj-22082	285	29	65	65	NUM
brj-22082	285	30	.	.	PUNCT
brj-22082	286	1	doi	doi	NOUN
brj-22082	286	2	:	:	PUNCT
brj-22082	286	3	10.1016	10.1016	NUM
brj-22082	286	4	/	/	SYM
brj-22082	286	5	j.rse.2018.02.028	j.rse.2018.02.028	PROPN
brj-22082	286	6	puxeddu	puxeddu	ADJ
brj-22082	286	7	,	,	PUNCT
brj-22082	286	8	m.	m.	NOUN
brj-22082	286	9	,	,	PUNCT
brj-22082	286	10	cuccuru	cuccuru	PROPN
brj-22082	286	11	,	,	PUNCT
brj-22082	286	12	f.	f.	PROPN
brj-22082	286	13	,	,	PUNCT
brj-22082	286	14	fais	fais	PROPN
brj-22082	286	15	,	,	PUNCT
brj-22082	286	16	s.	s.	PROPN
brj-22082	286	17	,	,	PUNCT
brj-22082	286	18	casula	casula	PROPN
brj-22082	286	19	,	,	PUNCT
brj-22082	286	20	g.	g.	PROPN
brj-22082	286	21	,	,	PUNCT
brj-22082	286	22	and	and	CCONJ
brj-22082	286	23	bianchi	bianchi	NOUN
brj-22082	286	24	,	,	PUNCT
brj-22082	286	25	m.	m.	NOUN
brj-22082	286	26	g.	g.	PROPN
brj-22082	286	27	(	(	PUNCT
brj-22082	286	28	2021	2021	NUM
brj-22082	286	29	)	)	PUNCT
brj-22082	286	30	.	.	PUNCT
brj-22082	287	1	“	"	PUNCT
brj-22082	287	2	3d	3d	NUM
brj-22082	287	3	imaging	imaging	NOUN
brj-22082	287	4	of	of	ADP
brj-22082	287	5	crp	crp	PROPN
brj-22082	287	6	and	and	CCONJ
brj-22082	287	7	ultrasonic	ultrasonic	ADJ
brj-22082	287	8	tomography	tomography	NOUN
brj-22082	287	9	to	to	PART
brj-22082	287	10	detect	detect	VERB
brj-22082	287	11	decay	decay	NOUN
brj-22082	287	12	in	in	ADP
brj-22082	287	13	a	a	DET
brj-22082	287	14	living	live	VERB
brj-22082	287	15	adult	adult	NOUN
brj-22082	287	16	holm	holm	PROPN
brj-22082	287	17	oak	oak	NOUN
brj-22082	287	18	(	(	PUNCT
brj-22082	287	19	quercus	quercus	ADJ
brj-22082	287	20	ilex	ilex	PROPN
brj-22082	287	21	l.	l.	PROPN
brj-22082	287	22	)	)	PUNCT
brj-22082	287	23	in	in	ADP
brj-22082	287	24	sardinia	sardinia	PROPN
brj-22082	287	25	(	(	PUNCT
brj-22082	287	26	italy	italy	PROPN
brj-22082	287	27	)	)	PUNCT
brj-22082	287	28	,	,	PUNCT
brj-22082	287	29	”	"	PUNCT
brj-22082	287	30	applied	apply	VERB
brj-22082	287	31	sciences	science	NOUN
brj-22082	287	32	11(3	11(3	NUM
brj-22082	287	33	)	)	PUNCT
brj-22082	287	34	,	,	PUNCT
brj-22082	287	35	article	article	NOUN
brj-22082	287	36	no	no	NOUN
brj-22082	287	37	.	.	PROPN
brj-22082	287	38	1199	1199	NUM
brj-22082	287	39	.	.	PUNCT
brj-22082	288	1	doi	doi	NOUN
brj-22082	288	2	:	:	PUNCT
brj-22082	288	3	10.3390	10.3390	NUM
brj-22082	288	4	/	/	SYM
brj-22082	288	5	app11031199	app11031199	NOUN
brj-22082	288	6	quan	quan	PROPN
brj-22082	288	7	,	,	PUNCT
brj-22082	288	8	h.	h.	PROPN
brj-22082	288	9	y.	y.	PROPN
brj-22082	288	10	,	,	PUNCT
brj-22082	288	11	and	and	CCONJ
brj-22082	288	12	wang	wang	PROPN
brj-22082	288	13	,	,	PUNCT
brj-22082	288	14	c.	c.	PROPN
brj-22082	288	15	b.	b.	PROPN
brj-22082	288	16	(	(	PUNCT
brj-22082	288	17	2017	2017	NUM
brj-22082	288	18	)	)	PUNCT
brj-22082	288	19	.	.	PUNCT
brj-22082	289	1	principles	principle	NOUN
brj-22082	289	2	and	and	CCONJ
brj-22082	289	3	practices	practice	NOUN
brj-22082	289	4	of	of	ADP
brj-22082	289	5	digital	digital	ADJ
brj-22082	289	6	image	image	NOUN
brj-22082	289	7	processing	processing	NOUN
brj-22082	289	8	,	,	PUNCT
brj-22082	289	9	china	china	PROPN
brj-22082	289	10	machine	machine	PROPN
brj-22082	289	11	press	press	PROPN
brj-22082	289	12	,	,	PUNCT
brj-22082	289	13	beijing	beijing	PROPN
brj-22082	289	14	,	,	PUNCT
brj-22082	289	15	china	china	PROPN
brj-22082	289	16	.	.	PUNCT
brj-22082	290	1	schad	schad	PROPN
brj-22082	290	2	,	,	PUNCT
brj-22082	290	3	k.	k.	PROPN
brj-22082	290	4	c.	c.	PROPN
brj-22082	290	5	,	,	PUNCT
brj-22082	290	6	schmoldt	schmoldt	PROPN
brj-22082	290	7	,	,	PUNCT
brj-22082	290	8	d.	d.	PROPN
brj-22082	290	9	l.	l.	PROPN
brj-22082	290	10	,	,	PUNCT
brj-22082	290	11	and	and	CCONJ
brj-22082	290	12	ross	ross	PROPN
brj-22082	290	13	,	,	PUNCT
brj-22082	290	14	r.	r.	PROPN
brj-22082	290	15	j.	j.	PROPN
brj-22082	290	16	(	(	PUNCT
brj-22082	290	17	1996	1996	NUM
brj-22082	290	18	)	)	PUNCT
brj-22082	290	19	.	.	PUNCT
brj-22082	291	1	nondestructive	nondestructive	ADJ
brj-22082	291	2	methods	method	NOUN
brj-22082	291	3	for	for	ADP
brj-22082	291	4	detecting	detect	VERB
brj-22082	291	5	defects	defect	NOUN
brj-22082	291	6	in	in	ADP
brj-22082	291	7	softwood	softwood	NOUN
brj-22082	291	8	logs	log	NOUN
brj-22082	291	9	,	,	PUNCT
brj-22082	291	10	us	us	PROPN
brj-22082	291	11	department	department	PROPN
brj-22082	291	12	of	of	ADP
brj-22082	291	13	agriculture	agriculture	PROPN
brj-22082	291	14	,	,	PUNCT
brj-22082	291	15	forest	forest	NOUN
brj-22082	291	16	service	service	NOUN
brj-22082	291	17	,	,	PUNCT
brj-22082	291	18	forest	forest	NOUN
brj-22082	291	19	products	product	NOUN
brj-22082	291	20	laboratory	laboratory	NOUN
brj-22082	291	21	,	,	PUNCT
brj-22082	291	22	madison	madison	PROPN
brj-22082	291	23	,	,	PUNCT
brj-22082	291	24	wi	wi	PROPN
brj-22082	291	25	,	,	PUNCT
brj-22082	291	26	usa	usa	PROPN
brj-22082	291	27	.	.	PROPN
brj-22082	291	28	sheng	sheng	PROPN
brj-22082	291	29	,	,	PUNCT
brj-22082	291	30	x.	x.	PROPN
brj-22082	291	31	y.	y.	PROPN
brj-22082	291	32	,	,	PUNCT
brj-22082	291	33	and	and	CCONJ
brj-22082	291	34	gong	gong	NOUN
brj-22082	291	35	,	,	PUNCT
brj-22082	291	36	c.	c.	PROPN
brj-22082	291	37	(	(	PUNCT
brj-22082	291	38	2019	2019	NUM
brj-22082	291	39	)	)	PUNCT
brj-22082	291	40	.	.	PUNCT
brj-22082	292	1	“	"	PUNCT
brj-22082	292	2	research	research	NOUN
brj-22082	292	3	on	on	ADP
brj-22082	292	4	digital	digital	ADJ
brj-22082	292	5	image	image	NOUN
brj-22082	292	6	interpolation	interpolation	NOUN
brj-22082	292	7	algorithm	algorithm	NOUN
brj-22082	292	8	,	,	PUNCT
brj-22082	292	9	”	"	PUNCT
brj-22082	292	10	computer	computer	NOUN
brj-22082	292	11	knowledge	knowledge	NOUN
brj-22082	292	12	and	and	CCONJ
brj-22082	292	13	technology	technology	NOUN
brj-22082	292	14	15(3z	15(3z	NUM
brj-22082	292	15	)	)	PUNCT
brj-22082	292	16	,	,	PUNCT
brj-22082	292	17	4	4	X
brj-22082	292	18	.	.	X
brj-22082	292	19	doi	doi	NOUN
brj-22082	292	20	:	:	PUNCT
brj-22082	292	21	10.14004	10.14004	NUM
brj-22082	292	22	/	/	SYM
brj-22082	292	23	j.cnki.ckt.2019.0776	j.cnki.ckt.2019.0776	PROPN
brj-22082	292	24	su	su	PROPN
brj-22082	292	25	,	,	PUNCT
brj-22082	292	26	m.	m.	NOUN
brj-22082	292	27	(	(	PUNCT
brj-22082	292	28	2007	2007	NUM
brj-22082	292	29	)	)	PUNCT
brj-22082	292	30	.	.	PUNCT
brj-22082	293	1	research	research	NOUN
brj-22082	293	2	and	and	CCONJ
brj-22082	293	3	implementation	implementation	NOUN
brj-22082	293	4	on	on	ADP
brj-22082	293	5	the	the	DET
brj-22082	293	6	3d	3d	PROPN
brj-22082	293	7	reconstruction	reconstruction	NOUN
brj-22082	293	8	technology	technology	NOUN
brj-22082	293	9	of	of	ADP
brj-22082	293	10	medical	medical	ADJ
brj-22082	293	11	ct	ct	PROPN
brj-22082	293	12	images	image	NOUN
brj-22082	293	13	,	,	PUNCT
brj-22082	293	14	master	master	NOUN
brj-22082	293	15	’s	’s	PART
brj-22082	293	16	thesis	thesis	NOUN
brj-22082	293	17	,	,	PUNCT
brj-22082	293	18	hebei	hebei	PROPN
brj-22082	293	19	university	university	PROPN
brj-22082	293	20	of	of	ADP
brj-22082	293	21	technology	technology	PROPN
brj-22082	293	22	,	,	PUNCT
brj-22082	293	23	tianjin	tianjin	PROPN
brj-22082	293	24	,	,	PUNCT
brj-22082	293	25	china	china	PROPN
brj-22082	293	26	.	.	PUNCT
brj-22082	294	1	wu	wu	PROPN
brj-22082	294	2	,	,	PUNCT
brj-22082	294	3	x.	x.	PROPN
brj-22082	294	4	,	,	PUNCT
brj-22082	294	5	li	li	PROPN
brj-22082	294	6	,	,	PUNCT
brj-22082	294	7	g.	g.	PROPN
brj-22082	294	8	h.	h.	PROPN
brj-22082	294	9	,	,	PUNCT
brj-22082	294	10	jiao	jiao	PROPN
brj-22082	294	11	,	,	PUNCT
brj-22082	294	12	z.	z.	PROPN
brj-22082	294	13	,	,	PUNCT
brj-22082	294	14	and	and	CCONJ
brj-22082	294	15	wang	wang	PROPN
brj-22082	294	16	,	,	PUNCT
brj-22082	295	1	x.	x.	PROPN
brj-22082	295	2	p.	p.	NOUN
brj-22082	295	3	(	(	PUNCT
brj-22082	295	4	2018	2018	NUM
brj-22082	295	5	)	)	PUNCT
brj-22082	295	6	.	.	PUNCT
brj-22082	296	1	“	"	PUNCT
brj-22082	296	2	reliability	reliability	NOUN
brj-22082	296	3	of	of	ADP
brj-22082	296	4	acoustic	acoustic	ADJ
brj-22082	296	5	tomography	tomography	NOUN
brj-22082	296	6	and	and	CCONJ
brj-22082	296	7	ground‐penetrating	ground‐penetrate	VERB
brj-22082	296	8	radar	radar	NOUN
brj-22082	296	9	for	for	ADP
brj-22082	296	10	tree	tree	NOUN
brj-22082	296	11	decay	decay	NOUN
brj-22082	296	12	detection	detection	NOUN
brj-22082	296	13	,	,	PUNCT
brj-22082	296	14	”	"	PUNCT
brj-22082	296	15	applications	application	NOUN
brj-22082	296	16	in	in	ADP
brj-22082	296	17	plant	plant	NOUN
brj-22082	296	18	sciences	science	NOUN
brj-22082	296	19	6(10	6(10	NUM
brj-22082	296	20	)	)	PUNCT
brj-22082	296	21	,	,	PUNCT
brj-22082	296	22	e01187	e01187	PROPN
brj-22082	296	23	.	.	PROPN
brj-22082	296	24	doi	doi	PROPN
brj-22082	296	25	:	:	PUNCT
brj-22082	296	26	10.1002	10.1002	NUM
brj-22082	296	27	/	/	SYM
brj-22082	296	28	aps3.118710.1002	aps3.118710.1002	PROPN
brj-22082	296	29	/	/	SYM
brj-22082	296	30	aps3.1187	aps3.1187	PROPN
brj-22082	296	31	xia	xia	PROPN
brj-22082	296	32	,	,	PUNCT
brj-22082	296	33	b.	b.	PROPN
brj-22082	296	34	,	,	PUNCT
brj-22082	296	35	zhang	zhang	PROPN
brj-22082	296	36	,	,	PUNCT
brj-22082	296	37	y.	y.	PROPN
brj-22082	296	38	l.	l.	PROPN
brj-22082	296	39	,	,	PUNCT
brj-22082	296	40	and	and	CCONJ
brj-22082	296	41	wang	wang	PROPN
brj-22082	296	42	,	,	PUNCT
brj-22082	296	43	f.	f.	PROPN
brj-22082	296	44	(	(	PUNCT
brj-22082	296	45	2017	2017	NUM
brj-22082	296	46	)	)	PUNCT
brj-22082	296	47	.	.	PUNCT
brj-22082	297	1	“	"	PUNCT
brj-22082	297	2	research	research	NOUN
brj-22082	297	3	of	of	ADP
brj-22082	297	4	canny	canny	NOUN
brj-22082	297	5	-	-	PUNCT
brj-22082	297	6	based	base	VERB
brj-22082	297	7	image	image	NOUN
brj-22082	297	8	segmentation	segmentation	NOUN
brj-22082	297	9	method	method	NOUN
brj-22082	297	10	of	of	ADP
brj-22082	297	11	raw	raw	ADJ
brj-22082	297	12	cotton	cotton	NOUN
brj-22082	297	13	impurities	impurity	NOUN
brj-22082	297	14	,	,	PUNCT
brj-22082	297	15	”	"	PUNCT
brj-22082	297	16	advanced	advanced	ADJ
brj-22082	297	17	textile	textile	NOUN
brj-22082	297	18	technology	technology	NOUN
brj-22082	297	19	25(6	25(6	NOUN
brj-22082	297	20	)	)	PUNCT
brj-22082	297	21	,	,	PUNCT
brj-22082	297	22	23	23	NUM
brj-22082	297	23	-	-	SYM
brj-22082	297	24	26	26	NUM
brj-22082	297	25	.	.	PUNCT
brj-22082	298	1	doi	doi	NOUN
brj-22082	298	2	:	:	PUNCT
brj-22082	298	3	10.19398	10.19398	NUM
brj-22082	298	4	/	/	SYM
brj-22082	298	5	j.att.2017.06.005	j.att.2017.06.005	PROPN
brj-22082	298	6	xiao	xiao	PROPN
brj-22082	298	7	,	,	PUNCT
brj-22082	298	8	x.	x.	PROPN
brj-22082	298	9	y.	y.	PROPN
brj-22082	298	10	,	,	PUNCT
brj-22082	298	11	wen	wen	PROPN
brj-22082	298	12	,	,	PUNCT
brj-22082	298	13	j.	j.	PROPN
brj-22082	298	14	,	,	PUNCT
brj-22082	298	15	xiao	xiao	PROPN
brj-22082	298	16	,	,	PUNCT
brj-22082	298	17	z.	z.	PROPN
brj-22082	298	18	l.	l.	PROPN
brj-22082	298	19	,	,	PUNCT
brj-22082	298	20	li	li	PROPN
brj-22082	298	21	,	,	PUNCT
brj-22082	298	22	w.	w.	PROPN
brj-22082	298	23	l.	l.	PROPN
brj-22082	298	24	,	,	PUNCT
brj-22082	298	25	and	and	CCONJ
brj-22082	298	26	zhang	zhang	PROPN
brj-22082	298	27	,	,	PUNCT
brj-22082	298	28	h.	h.	PROPN
brj-22082	298	29	j.	j.	PROPN
brj-22082	298	30	(	(	PUNCT
brj-22082	298	31	2018	2018	NUM
brj-22082	298	32	)	)	PUNCT
brj-22082	298	33	.	.	PUNCT
brj-22082	299	1	“	"	PUNCT
brj-22082	299	2	detection	detection	NOUN
brj-22082	299	3	and	and	CCONJ
brj-22082	299	4	recognition	recognition	NOUN
brj-22082	299	5	of	of	ADP
brj-22082	299	6	tree	tree	NOUN
brj-22082	299	7	trunk	trunk	NOUN
brj-22082	299	8	internal	internal	ADJ
brj-22082	299	9	structure	structure	NOUN
brj-22082	299	10	based	base	VERB
brj-22082	299	11	on	on	ADP
brj-22082	299	12	radar	radar	NOUN
brj-22082	299	13	,	,	PUNCT
brj-22082	299	14	”	"	PUNCT
brj-22082	299	15	scientia	scientia	PROPN
brj-22082	299	16	silvae	silvae	PROPN
brj-22082	299	17	sinicae	sinicae	PROPN
brj-22082	299	18	54(5	54(5	PROPN
brj-22082	299	19	)	)	PUNCT
brj-22082	299	20	,	,	PUNCT
brj-22082	299	21	127	127	NUM
brj-22082	299	22	-	-	SYM
brj-22082	299	23	134	134	NUM
brj-22082	299	24	.	.	PUNCT
brj-22082	299	25	doi	doi	NOUN
brj-22082	299	26	:	:	PUNCT
brj-22082	299	27	10.11707	10.11707	NUM
brj-22082	299	28	/	/	SYM
brj-22082	299	29	j.1001	j.1001	NOUN
brj-22082	299	30	-	-	PUNCT
brj-22082	299	31	7488.20180514	7488.20180514	NUM
brj-22082	299	32	xu	xu	PROPN
brj-22082	299	33	,	,	PUNCT
brj-22082	299	34	y.	y.	PROPN
brj-22082	299	35	x.	x.	PROPN
brj-22082	299	36	,	,	PUNCT
brj-22082	299	37	wu	wu	PROPN
brj-22082	299	38	,	,	PUNCT
brj-22082	299	39	x.	x.	PROPN
brj-22082	299	40	q.	q.	PROPN
brj-22082	299	41	,	,	PUNCT
brj-22082	299	42	and	and	CCONJ
brj-22082	299	43	hu	hu	PROPN
brj-22082	299	44	,	,	PUNCT
brj-22082	299	45	y.	y.	PROPN
brj-22082	299	46	j.	j.	PROPN
brj-22082	299	47	(	(	PUNCT
brj-22082	299	48	2001	2001	NUM
brj-22082	299	49	)	)	PUNCT
brj-22082	299	50	.	.	PUNCT
brj-22082	300	1	“	"	PUNCT
brj-22082	300	2	3d	3d	NUM
brj-22082	300	3	rebuilding	rebuilding	NOUN
brj-22082	300	4	of	of	ADP
brj-22082	300	5	biology	biology	NOUN
brj-22082	300	6	slice	slice	NOUN
brj-22082	300	7	image	image	NOUN
brj-22082	300	8	by	by	ADP
brj-22082	300	9	volume	volume	NOUN
brj-22082	300	10	rendering	rendering	NOUN
brj-22082	300	11	in	in	ADP
brj-22082	300	12	matlab	matlab	PROPN
brj-22082	300	13	,	,	PUNCT
brj-22082	300	14	”	"	PUNCT
brj-22082	300	15	computer	computer	NOUN
brj-22082	300	16	engineering	engineering	NOUN
brj-22082	300	17	27(12	27(12	NUM
brj-22082	300	18	)	)	PUNCT
brj-22082	300	19	,	,	PUNCT
brj-22082	300	20	114	114	NUM
brj-22082	300	21	-	-	SYM
brj-22082	300	22	115	115	NUM
brj-22082	300	23	.	.	PUNCT
brj-22082	301	1	doi	doi	NOUN
brj-22082	301	2	:	:	PUNCT
brj-22082	301	3	10.3969	10.3969	NUM
brj-22082	301	4	/	/	SYM
brj-22082	301	5	j.issn.1000	j.issn.1000	PROPN
brj-22082	301	6	-	-	PUNCT
brj-22082	301	7	3428.2001.12.044	3428.2001.12.044	PROPN
brj-22082	301	8	xu	xu	PROPN
brj-22082	301	9	,	,	PUNCT
brj-22082	301	10	t.	t.	PROPN
brj-22082	301	11	j.	j.	PROPN
brj-22082	301	12	,	,	PUNCT
brj-22082	301	13	ji	ji	PROPN
brj-22082	301	14	,	,	PUNCT
brj-22082	301	15	w.	w.	PROPN
brj-22082	301	16	r.	r.	PROPN
brj-22082	301	17	,	,	PUNCT
brj-22082	301	18	and	and	CCONJ
brj-22082	301	19	fan	fan	PROPN
brj-22082	301	20	,	,	PUNCT
brj-22082	301	21	f.	f.	PROPN
brj-22082	301	22	(	(	PUNCT
brj-22082	301	23	2012	2012	NUM
brj-22082	301	24	)	)	PUNCT
brj-22082	301	25	.	.	PUNCT
brj-22082	302	1	“	"	PUNCT
brj-22082	302	2	working	work	VERB
brj-22082	302	3	principle	principle	NOUN
brj-22082	302	4	of	of	ADP
brj-22082	302	5	ground	ground	NOUN
brj-22082	302	6	penetrating	penetrate	VERB
brj-22082	302	7	radar	radar	NOUN
brj-22082	302	8	and	and	CCONJ
brj-22082	302	9	its	its	PRON
brj-22082	302	10	application	application	NOUN
brj-22082	302	11	in	in	ADP
brj-22082	302	12	tunnel	tunnel	NOUN
brj-22082	302	13	quality	quality	NOUN
brj-22082	302	14	inspection	inspection	NOUN
brj-22082	302	15	,	,	PUNCT
brj-22082	302	16	”	"	PUNCT
brj-22082	302	17	engineering	engineering	NOUN
brj-22082	302	18	and	and	CCONJ
brj-22082	302	19	construction	construction	NOUN
brj-22082	302	20	26(02	26(02	NUM
brj-22082	302	21	)	)	PUNCT
brj-22082	302	22	,	,	PUNCT
brj-22082	302	23	214	214	NUM
brj-22082	302	24	-	-	SYM
brj-22082	302	25	216	216	NUM
brj-22082	302	26	.	.	PUNCT
brj-22082	303	1	doi	doi	NOUN
brj-22082	303	2	:	:	PUNCT
brj-22082	303	3	10.3969	10.3969	NUM
brj-22082	303	4	/	/	SYM
brj-22082	303	5	j.issn.1673	j.issn.1673	PROPN
brj-22082	303	6	-	-	PUNCT
brj-22082	303	7	5781.2012.02.026	5781.2012.02.026	NUM
brj-22082	303	8	you	you	PRON
brj-22082	303	9	,	,	PUNCT
brj-22082	303	10	x.	x.	PROPN
brj-22082	303	11	f.	f.	PROPN
brj-22082	303	12	(	(	PUNCT
brj-22082	303	13	2010	2010	NUM
brj-22082	303	14	)	)	PUNCT
brj-22082	303	15	.	.	PUNCT
brj-22082	304	1	a	a	DET
brj-22082	304	2	preliminary	preliminary	ADJ
brj-22082	304	3	study	study	NOUN
brj-22082	304	4	on	on	ADP
brj-22082	304	5	3d	3d	PROPN
brj-22082	304	6	reconstruction	reconstruction	NOUN
brj-22082	304	7	of	of	ADP
brj-22082	304	8	inner	inner	ADJ
brj-22082	304	9	decay	decay	NOUN
brj-22082	304	10	in	in	ADP
brj-22082	304	11	log	log	NOUN
brj-22082	304	12	cross	cross	NOUN
brj-22082	304	13	-	-	NOUN
brj-22082	304	14	section	section	NOUN
brj-22082	304	15	based	base	VERB
brj-22082	304	16	on	on	ADP
brj-22082	304	17	2d	2d	NUM
brj-22082	304	18	images	image	NOUN
brj-22082	304	19	of	of	ADP
brj-22082	304	20	stress	stress	NOUN
brj-22082	304	21	wave	wave	NOUN
brj-22082	304	22	,	,	PUNCT
brj-22082	304	23	master	master	NOUN
brj-22082	304	24	’s	’s	PART
brj-22082	304	25	thesis	thesis	NOUN
brj-22082	304	26	,	,	PUNCT
brj-22082	304	27	northeast	northeast	ADJ
brj-22082	304	28	forestry	forestry	PROPN
brj-22082	304	29	university	university	PROPN
brj-22082	304	30	,	,	PUNCT
brj-22082	304	31	heilongjiang	heilongjiang	PROPN
brj-22082	304	32	,	,	PUNCT
brj-22082	304	33	china	china	PROPN
brj-22082	304	34	.	.	PUNCT
brj-22082	305	1	zeng	zeng	PROPN
brj-22082	305	2	,	,	PUNCT
brj-22082	305	3	z.	z.	PROPN
brj-22082	305	4	,	,	PUNCT
brj-22082	305	5	dong	dong	PROPN
brj-22082	305	6	,	,	PUNCT
brj-22082	305	7	f.	f.	PROPN
brj-22082	305	8	h.	h.	PROPN
brj-22082	305	9	,	,	PUNCT
brj-22082	305	10	chen	chen	PROPN
brj-22082	305	11	,	,	PUNCT
brj-22082	305	12	x.	x.	PROPN
brj-22082	305	13	,	,	PUNCT
brj-22082	305	14	zhou	zhou	PROPN
brj-22082	305	15	,	,	PUNCT
brj-22082	305	16	h.	h.	PROPN
brj-22082	305	17	,	,	PUNCT
brj-22082	305	18	and	and	CCONJ
brj-22082	305	19	zhou	zhou	PROPN
brj-22082	305	20	,	,	PUNCT
brj-22082	305	21	j.	j.	PROPN
brj-22082	305	22	z.	z.	PROPN
brj-22082	305	23	(	(	PUNCT
brj-22082	305	24	2004	2004	NUM
brj-22082	305	25	)	)	PUNCT
brj-22082	305	26	.	.	PUNCT
brj-22082	306	1	“	"	PUNCT
brj-22082	306	2	three	three	NUM
brj-22082	306	3	dimensions	dimension	NOUN
brj-22082	306	4	reconstruction	reconstruction	NOUN
brj-22082	306	5	of	of	ADP
brj-22082	306	6	ct	ct	NUM
brj-22082	306	7	image	image	NOUN
brj-22082	306	8	by	by	ADP
brj-22082	306	9	matlab	matlab	PROPN
brj-22082	306	10	,	,	PUNCT
brj-22082	306	11	”	"	PUNCT
brj-22082	306	12	computerized	computerized	ADJ
brj-22082	306	13	tomography	tomography	NOUN
brj-22082	306	14	theory	theory	NOUN
brj-22082	306	15	and	and	CCONJ
brj-22082	306	16	applications	application	NOUN
brj-22082	306	17	13(2	13(2	PROPN
brj-22082	306	18	)	)	PUNCT
brj-22082	306	19	,	,	PUNCT
brj-22082	306	20	24	24	NUM
brj-22082	306	21	-	-	SYM
brj-22082	306	22	29	29	NUM
brj-22082	306	23	.	.	PUNCT
brj-22082	307	1	doi	doi	NOUN
brj-22082	307	2	:	:	PUNCT
brj-22082	307	3	cnki	cnki	ADJ
brj-22082	307	4	:	:	PUNCT
brj-22082	307	5	sun	sun	NOUN
brj-22082	307	6	:	:	PUNCT
brj-22082	307	7	ctll.0.2004	ctll.0.2004	NOUN
brj-22082	307	8	-	-	PUNCT
brj-22082	307	9	02	02	NUM
brj-22082	307	10	-	-	PUNCT
brj-22082	307	11	005	005	NUM
brj-22082	307	12	zhang	zhang	PROPN
brj-22082	307	13	,	,	PUNCT
brj-22082	307	14	r.	r.	PROPN
brj-22082	307	15	n.	n.	PROPN
brj-22082	307	16	,	,	PUNCT
brj-22082	307	17	and	and	CCONJ
brj-22082	307	18	sun	sun	NOUN
brj-22082	307	19	,	,	PUNCT
brj-22082	307	20	l.	l.	PROPN
brj-22082	307	21	p.	p.	PROPN
brj-22082	307	22	(	(	PUNCT
brj-22082	307	23	2008	2008	NUM
brj-22082	307	24	)	)	PUNCT
brj-22082	307	25	.	.	PUNCT
brj-22082	308	1	“	"	PUNCT
brj-22082	308	2	three	three	NUM
brj-22082	308	3	dimensions	dimension	NOUN
brj-22082	308	4	reconstruction	reconstruction	NOUN
brj-22082	308	5	of	of	ADP
brj-22082	308	6	log	log	NOUN
brj-22082	308	7	ct	ct	NUM
brj-22082	308	8	image	image	NOUN
brj-22082	308	9	by	by	ADP
brj-22082	308	10	matlab	matlab	PROPN
brj-22082	308	11	,	,	PUNCT
brj-22082	308	12	”	"	PUNCT
brj-22082	308	13	wood	wood	NOUN
brj-22082	308	14	processing	processing	NOUN
brj-22082	308	15	machinery	machinery	NOUN
brj-22082	308	16	19(4	19(4	PROPN
brj-22082	308	17	)	)	PUNCT
brj-22082	308	18	,	,	PUNCT
brj-22082	308	19	24	24	NUM
brj-22082	308	20	-	-	SYM
brj-22082	308	21	26	26	NUM
brj-22082	308	22	.	.	PUNCT
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brj-22082	310	8	”	"	PUNCT
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brj-22082	310	10	17(4	17(4	NUM
brj-22082	310	11	)	)	PUNCT
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brj-22082	311	1	6292	6292	NUM
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brj-22082	312	1	“	"	PUNCT
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brj-22082	312	4	3d	3d	NUM
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brj-22082	312	22	science	science	NOUN
brj-22082	312	23	edition	edition	NOUN
brj-22082	312	24	)	)	PUNCT
brj-22082	312	25	34(2	34(2	NUM
brj-22082	312	26	)	)	PUNCT
brj-22082	312	27	,	,	PUNCT
brj-22082	312	28	77	77	NUM
brj-22082	312	29	-	-	SYM
brj-22082	312	30	80	80	NUM
brj-22082	312	31	.	.	PUNCT
brj-22082	313	1	doi	doi	NOUN
brj-22082	313	2	:	:	PUNCT
brj-22082	313	3	10.3969	10.3969	NUM
brj-22082	313	4	/	/	SYM
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brj-22082	313	6	-	-	PUNCT
brj-22082	313	7	2006.2010.02.017	2006.2010.02.017	PROPN
brj-22082	313	8	zhang	zhang	PROPN
brj-22082	313	9	,	,	PUNCT
brj-22082	313	10	j.	j.	PROPN
brj-22082	313	11	,	,	PUNCT
brj-22082	313	12	and	and	CCONJ
brj-22082	313	13	khoshelham	khoshelham	PROPN
brj-22082	313	14	,	,	PUNCT
brj-22082	313	15	k.	k.	PROPN
brj-22082	313	16	(	(	PUNCT
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brj-22082	313	18	)	)	PUNCT
brj-22082	313	19	.	.	PUNCT
brj-22082	314	1	“	"	PUNCT
brj-22082	314	2	3d	3d	NUM
brj-22082	314	3	reconstruction	reconstruction	NOUN
brj-22082	314	4	of	of	ADP
brj-22082	314	5	internal	internal	ADJ
brj-22082	314	6	wood	wood	NOUN
brj-22082	314	7	decay	decay	NOUN
brj-22082	314	8	using	use	VERB
brj-22082	314	9	photogrammetry	photogrammetry	NOUN
brj-22082	314	10	and	and	CCONJ
brj-22082	314	11	sonic	sonic	ADJ
brj-22082	314	12	tomography	tomography	NOUN
brj-22082	314	13	,	,	PUNCT
brj-22082	314	14	”	"	PUNCT
brj-22082	314	15	the	the	DET
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brj-22082	314	17	record	record	NOUN
brj-22082	314	18	35(171	35(171	NOUN
brj-22082	314	19	)	)	PUNCT
brj-22082	314	20	,	,	PUNCT
brj-22082	314	21	357374	357374	NUM
brj-22082	314	22	.	.	PUNCT
brj-22082	315	1	doi	doi	NOUN
brj-22082	315	2	:	:	PUNCT
brj-22082	315	3	10.1111	10.1111	NUM
brj-22082	315	4	/	/	SYM
brj-22082	315	5	phor.12328	phor.12328	PROPN
brj-22082	315	6	article	article	NOUN
brj-22082	315	7	submitted	submit	VERB
brj-22082	315	8	:	:	PUNCT
brj-22082	315	9	may	may	AUX
brj-22082	315	10	5	5	NUM
brj-22082	315	11	,	,	PUNCT
brj-22082	315	12	2022	2022	NUM
brj-22082	315	13	;	;	PUNCT
brj-22082	315	14	peer	peer	NOUN
brj-22082	315	15	review	review	NOUN
brj-22082	315	16	completed	complete	VERB
brj-22082	315	17	:	:	PUNCT
brj-22082	315	18	sept	sept	PROPN
brj-22082	315	19	.	.	PROPN
brj-22082	315	20	11	11	NUM
brj-22082	315	21	,	,	PUNCT
brj-22082	315	22	2022	2022	NUM
brj-22082	315	23	;	;	PUNCT
brj-22082	315	24	revised	revise	VERB
brj-22082	315	25	version	version	NOUN
brj-22082	315	26	received	receive	VERB
brj-22082	315	27	and	and	CCONJ
brj-22082	315	28	accepted	accept	VERB
brj-22082	315	29	:	:	PUNCT
brj-22082	315	30	september	september	PROPN
brj-22082	315	31	17	17	NUM
brj-22082	315	32	,	,	PUNCT
brj-22082	315	33	2022	2022	NUM
brj-22082	315	34	;	;	PUNCT
brj-22082	315	35	published	publish	VERB
brj-22082	315	36	:	:	PUNCT
brj-22082	315	37	september	september	PROPN
brj-22082	315	38	21	21	NUM
brj-22082	315	39	,	,	PUNCT
brj-22082	315	40	2022	2022	NUM
brj-22082	315	41	.	.	PUNCT
brj-22082	316	1	doi	doi	NOUN
brj-22082	316	2	:	:	PUNCT
brj-22082	316	3	10.15376	10.15376	NUM
brj-22082	316	4	/	/	SYM
brj-22082	316	5	biores.17.4.6277	biores.17.4.6277	PROPN
brj-22082	316	6	-	-	PUNCT
brj-22082	316	7	6292	6292	NUM