id	sid	tid	token	lemma	pos
ajst-25588	1	1	academic	academic	ADJ
ajst-25588	1	2	journal	journal	NOUN
ajst-25588	1	3	of	of	ADP
ajst-25588	1	4	science	science	NOUN
ajst-25588	1	5	and	and	CCONJ
ajst-25588	1	6	technology	technology	NOUN
ajst-25588	1	7	issn	issn	NOUN
ajst-25588	1	8	:	:	PUNCT
ajst-25588	1	9	2771	2771	NUM
ajst-25588	1	10	-	-	SYM
ajst-25588	1	11	3032	3032	NUM
ajst-25588	1	12	|	|	NOUN
ajst-25588	1	13	vol	vol	NOUN
ajst-25588	1	14	.	.	PROPN
ajst-25588	2	1	12	12	NUM
ajst-25588	2	2	,	,	PUNCT
ajst-25588	2	3	no	no	INTJ
ajst-25588	2	4	.	.	NOUN
ajst-25588	2	5	2	2	NUM
ajst-25588	2	6	,	,	PUNCT
ajst-25588	2	7	2024	2024	NUM
ajst-25588	2	8	125	125	NUM
ajst-25588	2	9	research	research	NOUN
ajst-25588	2	10	on	on	ADP
ajst-25588	2	11	weld	weld	NOUN
ajst-25588	2	12	seam	seam	NOUN
ajst-25588	2	13	marking	mark	VERB
ajst-25588	2	14	based	base	VERB
ajst-25588	2	15	on	on	ADP
ajst-25588	2	16	machine	machine	NOUN
ajst-25588	2	17	vision	vision	PROPN
ajst-25588	2	18	technology	technology	PROPN
ajst-25588	2	19	shunyang	shunyang	PROPN
ajst-25588	2	20	hu	hu	PROPN
ajst-25588	2	21	,	,	PUNCT
ajst-25588	2	22	chenlei	chenlei	VERB
ajst-25588	2	23	zhao	zhao	PROPN
ajst-25588	2	24	,	,	PUNCT
ajst-25588	2	25	qian	qian	PROPN
ajst-25588	2	26	fu	fu	PROPN
ajst-25588	2	27	geely	geely	PROPN
ajst-25588	2	28	university	university	PROPN
ajst-25588	2	29	of	of	ADP
ajst-25588	2	30	china	china	PROPN
ajst-25588	2	31	,	,	PUNCT
ajst-25588	2	32	chengdu	chengdu	PROPN
ajst-25588	2	33	641402	641402	NUM
ajst-25588	2	34	,	,	PUNCT
ajst-25588	2	35	china	china	PROPN
ajst-25588	2	36	abstract	abstract	NOUN
ajst-25588	2	37	:	:	PUNCT
ajst-25588	2	38	the	the	DET
ajst-25588	2	39	rapid	rapid	ADJ
ajst-25588	2	40	development	development	NOUN
ajst-25588	2	41	of	of	ADP
ajst-25588	2	42	machine	machine	NOUN
ajst-25588	2	43	vision	vision	NOUN
ajst-25588	2	44	technology	technology	NOUN
ajst-25588	2	45	has	have	AUX
ajst-25588	2	46	made	make	VERB
ajst-25588	2	47	it	it	PRON
ajst-25588	2	48	widely	widely	ADV
ajst-25588	2	49	used	use	VERB
ajst-25588	2	50	in	in	ADP
ajst-25588	2	51	various	various	ADJ
ajst-25588	2	52	industrial	industrial	ADJ
ajst-25588	2	53	fields	field	NOUN
ajst-25588	2	54	.	.	PUNCT
ajst-25588	3	1	the	the	DET
ajst-25588	3	2	detection	detection	NOUN
ajst-25588	3	3	of	of	ADP
ajst-25588	3	4	welding	weld	VERB
ajst-25588	3	5	quality	quality	NOUN
ajst-25588	3	6	can	can	AUX
ajst-25588	3	7	also	also	ADV
ajst-25588	3	8	be	be	AUX
ajst-25588	3	9	achieved	achieve	VERB
ajst-25588	3	10	through	through	ADP
ajst-25588	3	11	this	this	DET
ajst-25588	3	12	technology	technology	NOUN
ajst-25588	3	13	.	.	PUNCT
ajst-25588	4	1	the	the	DET
ajst-25588	4	2	core	core	NOUN
ajst-25588	4	3	of	of	ADP
ajst-25588	4	4	welding	weld	VERB
ajst-25588	4	5	quality	quality	NOUN
ajst-25588	4	6	inspection	inspection	NOUN
ajst-25588	4	7	is	be	AUX
ajst-25588	4	8	to	to	PART
ajst-25588	4	9	realize	realize	VERB
ajst-25588	4	10	the	the	DET
ajst-25588	4	11	marking	marking	NOUN
ajst-25588	4	12	of	of	ADP
ajst-25588	4	13	weld	weld	NOUN
ajst-25588	4	14	features	feature	NOUN
ajst-25588	4	15	.	.	PUNCT
ajst-25588	5	1	to	to	PART
ajst-25588	5	2	solve	solve	VERB
ajst-25588	5	3	the	the	DET
ajst-25588	5	4	problem	problem	NOUN
ajst-25588	5	5	of	of	ADP
ajst-25588	5	6	weld	weld	NOUN
ajst-25588	5	7	feature	feature	NOUN
ajst-25588	5	8	marking	mark	VERB
ajst-25588	5	9	,	,	PUNCT
ajst-25588	5	10	the	the	DET
ajst-25588	5	11	gui	gui	NOUN
ajst-25588	5	12	weld	weld	NOUN
ajst-25588	5	13	marking	mark	VERB
ajst-25588	5	14	interface	interface	NOUN
ajst-25588	5	15	is	be	AUX
ajst-25588	5	16	built	build	VERB
ajst-25588	5	17	based	base	VERB
ajst-25588	5	18	on	on	ADP
ajst-25588	5	19	matlab	matlab	PROPN
ajst-25588	5	20	.	.	PUNCT
ajst-25588	6	1	after	after	ADP
ajst-25588	6	2	the	the	DET
ajst-25588	6	3	process	process	NOUN
ajst-25588	6	4	of	of	ADP
ajst-25588	6	5	image	image	NOUN
ajst-25588	6	6	acquisition	acquisition	NOUN
ajst-25588	6	7	,	,	PUNCT
ajst-25588	6	8	image	image	NOUN
ajst-25588	6	9	preprocessing	preprocessing	NOUN
ajst-25588	6	10	,	,	PUNCT
ajst-25588	6	11	edge	edge	NOUN
ajst-25588	6	12	detection	detection	NOUN
ajst-25588	6	13	and	and	CCONJ
ajst-25588	6	14	feature	feature	NOUN
ajst-25588	6	15	extraction	extraction	NOUN
ajst-25588	6	16	,	,	PUNCT
ajst-25588	6	17	the	the	DET
ajst-25588	6	18	weld	weld	NOUN
ajst-25588	6	19	marking	mark	VERB
ajst-25588	6	20	experiment	experiment	NOUN
ajst-25588	6	21	of	of	ADP
ajst-25588	6	22	is	be	AUX
ajst-25588	6	23	finally	finally	ADV
ajst-25588	6	24	completed	complete	VERB
ajst-25588	6	25	.	.	PUNCT
ajst-25588	7	1	based	base	VERB
ajst-25588	7	2	on	on	ADP
ajst-25588	7	3	data	datum	NOUN
ajst-25588	7	4	analysis	analysis	NOUN
ajst-25588	7	5	of	of	ADP
ajst-25588	7	6	the	the	DET
ajst-25588	7	7	experiment	experiment	NOUN
ajst-25588	7	8	,	,	PUNCT
ajst-25588	7	9	it	it	PRON
ajst-25588	7	10	can	can	AUX
ajst-25588	7	11	be	be	AUX
ajst-25588	7	12	concluded	conclude	VERB
ajst-25588	7	13	that	that	SCONJ
ajst-25588	7	14	canny	canny	ADJ
ajst-25588	7	15	edge	edge	NOUN
ajst-25588	7	16	detection	detection	NOUN
ajst-25588	7	17	operator	operator	NOUN
ajst-25588	7	18	has	have	VERB
ajst-25588	7	19	the	the	DET
ajst-25588	7	20	best	good	ADJ
ajst-25588	7	21	marking	marking	NOUN
ajst-25588	7	22	effect	effect	NOUN
ajst-25588	7	23	and	and	CCONJ
ajst-25588	7	24	the	the	DET
ajst-25588	7	25	most	most	ADV
ajst-25588	7	26	stable	stable	ADJ
ajst-25588	7	27	detection	detection	NOUN
ajst-25588	7	28	for	for	ADP
ajst-25588	7	29	the	the	DET
ajst-25588	7	30	research	research	NOUN
ajst-25588	7	31	object	object	NOUN
ajst-25588	7	32	used	use	VERB
ajst-25588	7	33	.	.	PUNCT
ajst-25588	8	1	keywords	keyword	NOUN
ajst-25588	8	2	:	:	PUNCT
ajst-25588	8	3	machine	machine	NOUN
ajst-25588	8	4	vision	vision	NOUN
ajst-25588	8	5	technology	technology	NOUN
ajst-25588	8	6	;	;	PUNCT
ajst-25588	8	7	image	image	NOUN
ajst-25588	8	8	processing	processing	NOUN
ajst-25588	8	9	;	;	PUNCT
ajst-25588	8	10	weld	weld	NOUN
ajst-25588	8	11	marking	marking	NOUN
ajst-25588	8	12	.	.	PUNCT
ajst-25588	9	1	1	1	X
ajst-25588	9	2	.	.	X
ajst-25588	9	3	introduction	introduction	NOUN
ajst-25588	9	4	machine	machine	NOUN
ajst-25588	9	5	vision	vision	PROPN
ajst-25588	9	6	technology	technology	NOUN
ajst-25588	9	7	is	be	AUX
ajst-25588	9	8	used	use	VERB
ajst-25588	9	9	to	to	PART
ajst-25588	9	10	measure	measure	VERB
ajst-25588	9	11	and	and	CCONJ
ajst-25588	9	12	identify	identify	VERB
ajst-25588	9	13	the	the	DET
ajst-25588	9	14	target	target	NOUN
ajst-25588	9	15	shape	shape	NOUN
ajst-25588	9	16	and	and	CCONJ
ajst-25588	9	17	size	size	NOUN
ajst-25588	9	18	,	,	PUNCT
ajst-25588	9	19	color	color	NOUN
ajst-25588	9	20	and	and	CCONJ
ajst-25588	9	21	other	other	ADJ
ajst-25588	9	22	information	information	NOUN
ajst-25588	9	23	of	of	ADP
ajst-25588	9	24	the	the	DET
ajst-25588	9	25	workpiece	workpiece	NOUN
ajst-25588	9	26	,	,	PUNCT
ajst-25588	9	27	and	and	CCONJ
ajst-25588	9	28	with	with	ADP
ajst-25588	9	29	this	this	DET
ajst-25588	9	30	advantage	advantage	NOUN
ajst-25588	9	31	,	,	PUNCT
ajst-25588	9	32	it	it	PRON
ajst-25588	9	33	has	have	AUX
ajst-25588	9	34	slowly	slowly	ADV
ajst-25588	9	35	replaced	replace	VERB
ajst-25588	9	36	manual	manual	ADJ
ajst-25588	9	37	work	work	NOUN
ajst-25588	9	38	in	in	ADP
ajst-25588	9	39	the	the	DET
ajst-25588	9	40	industrial	industrial	ADJ
ajst-25588	9	41	production	production	NOUN
ajst-25588	9	42	line	line	NOUN
ajst-25588	9	43	and	and	CCONJ
ajst-25588	9	44	greatly	greatly	ADV
ajst-25588	9	45	enhanced	enhance	VERB
ajst-25588	9	46	the	the	DET
ajst-25588	9	47	workpiece	workpiece	NOUN
ajst-25588	9	48	quality	quality	NOUN
ajst-25588	9	49	and	and	CCONJ
ajst-25588	9	50	its	its	PRON
ajst-25588	9	51	sensitivity	sensitivity	NOUN
ajst-25588	9	52	and	and	CCONJ
ajst-25588	9	53	accuracy	accuracy	NOUN
ajst-25588	9	54	.	.	PUNCT
ajst-25588	10	1	relying	rely	VERB
ajst-25588	10	2	on	on	ADP
ajst-25588	10	3	machine	machine	NOUN
ajst-25588	10	4	vision	vision	NOUN
ajst-25588	10	5	weld	weld	NOUN
ajst-25588	10	6	technology	technology	NOUN
ajst-25588	10	7	,	,	PUNCT
ajst-25588	10	8	china	china	PROPN
ajst-25588	10	9	has	have	VERB
ajst-25588	10	10	achievindustrial	achievindustrial	ADJ
ajst-25588	10	11	automation	automation	NOUN
ajst-25588	10	12	with	with	ADP
ajst-25588	10	13	much	much	ADV
ajst-25588	10	14	lower	low	ADJ
ajst-25588	10	15	costs	cost	NOUN
ajst-25588	10	16	in	in	ADP
ajst-25588	10	17	labor	labor	NOUN
ajst-25588	10	18	,	,	PUNCT
ajst-25588	10	19	time	time	NOUN
ajst-25588	10	20	costs	cost	VERB
ajst-25588	10	21	money	money	NOUN
ajst-25588	10	22	costs	cost	NOUN
ajst-25588	10	23	,	,	PUNCT
ajst-25588	10	24	etc	etc	X
ajst-25588	10	25	.	.	X
ajst-25588	10	26	,	,	PUNCT
ajst-25588	10	27	which	which	PRON
ajst-25588	10	28	made	make	VERB
ajst-25588	10	29	the	the	DET
ajst-25588	10	30	technolog	technolog	NOUN
ajst-25588	10	31	a	a	DET
ajst-25588	10	32	rigid	rigid	ADJ
ajst-25588	10	33	demand	demand	NOUN
ajst-25588	10	34	for	for	ADP
ajst-25588	10	35	manufacturing	manufacturing	NOUN
ajst-25588	10	36	.	.	PUNCT
ajst-25588	11	1	the	the	DET
ajst-25588	11	2	automation	automation	NOUN
ajst-25588	11	3	and	and	CCONJ
ajst-25588	11	4	intelligent	intelligent	ADJ
ajst-25588	11	5	development	development	NOUN
ajst-25588	11	6	of	of	ADP
ajst-25588	11	7	the	the	DET
ajst-25588	11	8	industry	industry	NOUN
ajst-25588	11	9	will	will	AUX
ajst-25588	11	10	only	only	ADV
ajst-25588	11	11	become	become	VERB
ajst-25588	11	12	more	more	ADV
ajst-25588	11	13	and	and	CCONJ
ajst-25588	11	14	more	more	ADV
ajst-25588	11	15	rapid	rapid	ADJ
ajst-25588	11	16	,	,	PUNCT
ajst-25588	11	17	providing	provide	VERB
ajst-25588	11	18	a	a	DET
ajst-25588	11	19	solid	solid	ADJ
ajst-25588	11	20	foundation	foundation	NOUN
ajst-25588	11	21	for	for	ADP
ajst-25588	11	22	welding	weld	VERB
ajst-25588	11	23	technology	technology	NOUN
ajst-25588	11	24	.	.	PUNCT
ajst-25588	12	1	the	the	DET
ajst-25588	12	2	weld	weld	NOUN
ajst-25588	12	3	images	image	NOUN
ajst-25588	12	4	obtained	obtain	VERB
ajst-25588	12	5	by	by	ADP
ajst-25588	12	6	machine	machine	NOUN
ajst-25588	12	7	vision	vision	NOUN
ajst-25588	12	8	technology	technology	NOUN
ajst-25588	12	9	can	can	AUX
ajst-25588	12	10	be	be	AUX
ajst-25588	12	11	directly	directly	ADV
ajst-25588	12	12	provided	provide	VERB
ajst-25588	12	13	after	after	ADP
ajst-25588	12	14	computer	computer	NOUN
ajst-25588	12	15	processing	processing	NOUN
ajst-25588	12	16	along	along	ADP
ajst-25588	12	17	with	with	ADP
ajst-25588	12	18	the	the	DET
ajst-25588	12	19	feature	feature	NOUN
ajst-25588	12	20	data	datum	NOUN
ajst-25588	12	21	of	of	ADP
ajst-25588	12	22	various	various	ADJ
ajst-25588	12	23	images	image	NOUN
ajst-25588	12	24	for	for	ADP
ajst-25588	12	25	optimizing	optimize	VERB
ajst-25588	12	26	the	the	DET
ajst-25588	12	27	welding	welding	NOUN
ajst-25588	12	28	method	method	NOUN
ajst-25588	12	29	and	and	CCONJ
ajst-25588	12	30	parameters	parameter	NOUN
ajst-25588	12	31	,	,	PUNCT
ajst-25588	12	32	so	so	SCONJ
ajst-25588	12	33	that	that	SCONJ
ajst-25588	12	34	the	the	DET
ajst-25588	12	35	welding	welding	NOUN
ajst-25588	12	36	quality	quality	NOUN
ajst-25588	12	37	is	be	AUX
ajst-25588	12	38	guaranteed	guarantee	VERB
ajst-25588	12	39	.	.	PUNCT
ajst-25588	13	1	2	2	X
ajst-25588	13	2	.	.	X
ajst-25588	13	3	detection	detection	NOUN
ajst-25588	13	4	and	and	CCONJ
ajst-25588	13	5	principle	principle	NOUN
ajst-25588	13	6	of	of	ADP
ajst-25588	13	7	machine	machine	NOUN
ajst-25588	13	8	vision	vision	NOUN
ajst-25588	13	9	weld	weld	NOUN
ajst-25588	13	10	marks	mark	NOUN
ajst-25588	13	11	figure	figure	VERB
ajst-25588	13	12	1	1	NUM
ajst-25588	13	13	.	.	PUNCT
ajst-25588	13	14	image	image	NOUN
ajst-25588	13	15	processing	processing	NOUN
ajst-25588	13	16	machine	machine	NOUN
ajst-25588	13	17	vision	vision	NOUN
ajst-25588	13	18	is	be	AUX
ajst-25588	13	19	to	to	PART
ajst-25588	13	20	replace	replace	VERB
ajst-25588	13	21	the	the	DET
ajst-25588	13	22	human	human	ADJ
ajst-25588	13	23	eyes	eye	NOUN
ajst-25588	13	24	with	with	ADP
ajst-25588	13	25	a	a	DET
ajst-25588	13	26	machine	machine	NOUN
ajst-25588	13	27	to	to	PART
ajst-25588	13	28	measure	measure	VERB
ajst-25588	13	29	and	and	CCONJ
ajst-25588	13	30	judge	judge	VERB
ajst-25588	13	31	the	the	DET
ajst-25588	13	32	work	work	NOUN
ajst-25588	13	33	.	.	PUNCT
ajst-25588	14	1	the	the	DET
ajst-25588	14	2	system	system	NOUN
ajst-25588	14	3	converts	convert	VERB
ajst-25588	14	4	the	the	DET
ajst-25588	14	5	captured	capture	VERB
ajst-25588	14	6	object	object	NOUN
ajst-25588	14	7	into	into	ADP
ajst-25588	14	8	an	an	DET
ajst-25588	14	9	image	image	NOUN
ajst-25588	14	10	signal	signal	NOUN
ajst-25588	14	11	and	and	CCONJ
ajst-25588	14	12	transmits	transmit	VERB
ajst-25588	14	13	it	it	PRON
ajst-25588	14	14	to	to	ADP
ajst-25588	14	15	a	a	DET
ajst-25588	14	16	special	special	ADJ
ajst-25588	14	17	image	image	NOUN
ajst-25588	14	18	processing	processing	NOUN
ajst-25588	14	19	system	system	NOUN
ajst-25588	14	20	.	.	PUNCT
ajst-25588	15	1	the	the	DET
ajst-25588	15	2	image	image	NOUN
ajst-25588	15	3	can	can	AUX
ajst-25588	15	4	be	be	AUX
ajst-25588	15	5	analyzed	analyze	VERB
ajst-25588	15	6	according	accord	VERB
ajst-25588	15	7	to	to	ADP
ajst-25588	15	8	the	the	DET
ajst-25588	15	9	relationship	relationship	NOUN
ajst-25588	15	10	between	between	ADP
ajst-25588	15	11	pixel	pixel	ADJ
ajst-25588	15	12	distribution	distribution	NOUN
ajst-25588	15	13	and	and	CCONJ
ajst-25588	15	14	brightness	brightness	NOUN
ajst-25588	15	15	,	,	PUNCT
ajst-25588	15	16	color	color	NOUN
ajst-25588	15	17	and	and	CCONJ
ajst-25588	15	18	other	other	ADJ
ajst-25588	15	19	information	information	NOUN
ajst-25588	15	20	.	.	PUNCT
ajst-25588	16	1	combined	combine	VERB
ajst-25588	16	2	with	with	ADP
ajst-25588	16	3	related	related	ADJ
ajst-25588	16	4	algorithms	algorithm	NOUN
ajst-25588	16	5	,	,	PUNCT
ajst-25588	16	6	the	the	DET
ajst-25588	16	7	system	system	NOUN
ajst-25588	16	8	can	can	AUX
ajst-25588	16	9	obtain	obtain	VERB
ajst-25588	16	10	the	the	DET
ajst-25588	16	11	required	require	VERB
ajst-25588	16	12	information	information	NOUN
ajst-25588	16	13	for	for	ADP
ajst-25588	16	14	recognition	recognition	NOUN
ajst-25588	16	15	,	,	PUNCT
ajst-25588	16	16	and	and	CCONJ
ajst-25588	16	17	then	then	ADV
ajst-25588	16	18	realize	realize	VERB
ajst-25588	16	19	the	the	DET
ajst-25588	16	20	recognition	recognition	NOUN
ajst-25588	16	21	and	and	CCONJ
ajst-25588	16	22	judgment	judgment	NOUN
ajst-25588	16	23	of	of	ADP
ajst-25588	16	24	the	the	DET
ajst-25588	16	25	target	target	NOUN
ajst-25588	16	26	weld	weld	NOUN
ajst-25588	16	27	.	.	PUNCT
ajst-25588	17	1	then	then	ADV
ajst-25588	17	2	the	the	DET
ajst-25588	17	3	data	data	NOUN
ajst-25588	17	4	is	be	AUX
ajst-25588	17	5	processed	process	VERB
ajst-25588	17	6	by	by	ADP
ajst-25588	17	7	the	the	DET
ajst-25588	17	8	computer	computer	NOUN
ajst-25588	17	9	and	and	CCONJ
ajst-25588	17	10	output	output	NOUN
ajst-25588	17	11	on	on	ADP
ajst-25588	17	12	the	the	DET
ajst-25588	17	13	display	display	NOUN
ajst-25588	17	14	.	.	PUNCT
ajst-25588	18	1	the	the	DET
ajst-25588	18	2	complete	complete	ADJ
ajst-25588	18	3	image	image	NOUN
ajst-25588	18	4	processing	processing	NOUN
ajst-25588	18	5	includes	include	VERB
ajst-25588	18	6	image	image	NOUN
ajst-25588	18	7	acquisition	acquisition	NOUN
ajst-25588	18	8	,	,	PUNCT
ajst-25588	18	9	image	image	NOUN
ajst-25588	18	10	preprocessing	preprocessing	NOUN
ajst-25588	18	11	,	,	PUNCT
ajst-25588	18	12	detection	detection	NOUN
ajst-25588	18	13	of	of	ADP
ajst-25588	18	14	target	target	NOUN
ajst-25588	18	15	edge	edge	NOUN
ajst-25588	18	16	and	and	CCONJ
ajst-25588	18	17	feature	feature	NOUN
ajst-25588	18	18	information	information	NOUN
ajst-25588	18	19	extraction	extraction	NOUN
ajst-25588	18	20	and	and	CCONJ
ajst-25588	18	21	so	so	ADV
ajst-25588	18	22	on	on	ADV
ajst-25588	18	23	.	.	PUNCT
ajst-25588	19	1	it	it	PRON
ajst-25588	19	2	can	can	AUX
ajst-25588	19	3	simulate	simulate	VERB
ajst-25588	19	4	human	human	ADJ
ajst-25588	19	5	visual	visual	ADJ
ajst-25588	19	6	process	process	NOUN
ajst-25588	19	7	by	by	ADP
ajst-25588	19	8	computer	computer	NOUN
ajst-25588	19	9	and	and	CCONJ
ajst-25588	19	10	control	control	VERB
ajst-25588	19	11	it	it	PRON
ajst-25588	19	12	automatically	automatically	ADV
ajst-25588	19	13	.	.	PUNCT
ajst-25588	20	1	2.1	2.1	NUM
ajst-25588	20	2	.	.	PUNCT
ajst-25588	20	3	image	image	NOUN
ajst-25588	20	4	preprocessing	preprocesse	VERB
ajst-25588	20	5	2.1.1	2.1.1	NUM
ajst-25588	20	6	.	.	PUNCT
ajst-25588	21	1	grayscale	grayscale	NOUN
ajst-25588	21	2	conversion	conversion	NOUN
ajst-25588	21	3	the	the	DET
ajst-25588	21	4	gray	gray	ADJ
ajst-25588	21	5	-	-	PUNCT
ajst-25588	21	6	scale	scale	NOUN
ajst-25588	21	7	transformation	transformation	NOUN
ajst-25588	21	8	is	be	AUX
ajst-25588	21	9	mainly	mainly	ADV
ajst-25588	21	10	based	base	VERB
ajst-25588	21	11	on	on	ADP
ajst-25588	21	12	independent	independent	ADJ
ajst-25588	21	13	pixels	pixel	NOUN
ajst-25588	21	14	,	,	PUNCT
ajst-25588	21	15	which	which	PRON
ajst-25588	21	16	enhances	enhance	VERB
ajst-25588	21	17	the	the	DET
ajst-25588	21	18	quality	quality	NOUN
ajst-25588	21	19	of	of	ADP
ajst-25588	21	20	the	the	DET
ajst-25588	21	21	picture	picture	NOUN
ajst-25588	21	22	by	by	ADP
ajst-25588	21	23	changing	change	VERB
ajst-25588	21	24	the	the	DET
ajst-25588	21	25	gray	gray	ADJ
ajst-25588	21	26	-	-	PUNCT
ajst-25588	21	27	scale	scale	NOUN
ajst-25588	21	28	range	range	NOUN
ajst-25588	21	29	of	of	ADP
ajst-25588	21	30	the	the	DET
ajst-25588	21	31	original	original	ADJ
ajst-25588	21	32	image	image	NOUN
ajst-25588	21	33	data	datum	NOUN
ajst-25588	21	34	,	,	PUNCT
ajst-25588	21	35	making	make	VERB
ajst-25588	21	36	the	the	DET
ajst-25588	21	37	image	image	NOUN
ajst-25588	21	38	clearer	clear	ADJ
ajst-25588	21	39	and	and	CCONJ
ajst-25588	21	40	easier	easy	ADJ
ajst-25588	21	41	to	to	PART
ajst-25588	21	42	recognize	recognize	VERB
ajst-25588	21	43	.	.	PUNCT
ajst-25588	22	1	in	in	ADP
ajst-25588	22	2	practice	practice	NOUN
ajst-25588	22	3	,	,	PUNCT
ajst-25588	22	4	it	it	PRON
ajst-25588	22	5	is	be	AUX
ajst-25588	22	6	also	also	ADV
ajst-25588	22	7	necessary	necessary	ADJ
ajst-25588	22	8	to	to	PART
ajst-25588	22	9	pay	pay	VERB
ajst-25588	22	10	attention	attention	NOUN
ajst-25588	22	11	to	to	ADP
ajst-25588	22	12	the	the	DET
ajst-25588	22	13	problems	problem	NOUN
ajst-25588	22	14	that	that	PRON
ajst-25588	22	15	may	may	AUX
ajst-25588	22	16	occur	occur	VERB
ajst-25588	22	17	at	at	ADP
ajst-25588	22	18	various	various	ADJ
ajst-25588	22	19	stages	stage	NOUN
ajst-25588	22	20	for	for	SCONJ
ajst-25588	22	21	the	the	DET
ajst-25588	22	22	machine	machine	NOUN
ajst-25588	22	23	vision	vision	NOUN
ajst-25588	22	24	system	system	NOUN
ajst-25588	22	25	to	to	PART
ajst-25588	22	26	better	well	ADV
ajst-25588	22	27	play	play	VERB
ajst-25588	22	28	a	a	DET
ajst-25588	22	29	role	role	NOUN
ajst-25588	22	30	.	.	PUNCT
ajst-25588	23	1	usually	usually	ADV
ajst-25588	23	2	,	,	PUNCT
ajst-25588	23	3	the	the	DET
ajst-25588	23	4	dynamic	dynamic	ADJ
ajst-25588	23	5	range	range	NOUN
ajst-25588	23	6	of	of	ADP
ajst-25588	23	7	pixels	pixel	NOUN
ajst-25588	23	8	is	be	AUX
ajst-25588	23	9	enlarged	enlarge	VERB
ajst-25588	23	10	by	by	ADP
ajst-25588	23	11	gray	gray	ADJ
ajst-25588	23	12	-	-	PUNCT
ajst-25588	23	13	scale	scale	NOUN
ajst-25588	23	14	transformation	transformation	NOUN
ajst-25588	23	15	,	,	PUNCT
ajst-25588	23	16	and	and	CCONJ
ajst-25588	23	17	the	the	DET
ajst-25588	23	18	image	image	NOUN
ajst-25588	23	19	contrast	contrast	NOUN
ajst-25588	23	20	is	be	AUX
ajst-25588	23	21	expanded	expand	VERB
ajst-25588	23	22	.	.	PUNCT
ajst-25588	24	1	for	for	ADP
ajst-25588	24	2	different	different	ADJ
ajst-25588	24	3	types	type	NOUN
ajst-25588	24	4	of	of	ADP
ajst-25588	24	5	gray	gray	ADJ
ajst-25588	24	6	transformation	transformation	NOUN
ajst-25588	24	7	,	,	PUNCT
ajst-25588	24	8	different	different	ADJ
ajst-25588	24	9	effects	effect	NOUN
ajst-25588	24	10	can	can	AUX
ajst-25588	24	11	be	be	AUX
ajst-25588	24	12	obtained	obtain	VERB
ajst-25588	24	13	.	.	PUNCT
ajst-25588	25	1	if	if	SCONJ
ajst-25588	25	2	it	it	PRON
ajst-25588	25	3	is	be	AUX
ajst-25588	25	4	assumed	assume	VERB
ajst-25588	25	5	that	that	SCONJ
ajst-25588	25	6	the	the	DET
ajst-25588	25	7	pixel	pixel	PROPN
ajst-25588	25	8	value	value	NOUN
ajst-25588	25	9	k	k	PROPN
ajst-25588	25	10	in	in	ADP
ajst-25588	25	11	the	the	DET
ajst-25588	25	12	source	source	NOUN
ajst-25588	25	13	image	image	NOUN
ajst-25588	25	14	is	be	AUX
ajst-25588	25	15	located	locate	VERB
ajst-25588	25	16	at	at	ADP
ajst-25588	25	17	a	a	DET
ajst-25588	25	18	certain	certain	ADJ
ajst-25588	25	19	image	image	NOUN
ajst-25588	25	20	position	position	NOUN
ajst-25588	25	21	and	and	CCONJ
ajst-25588	25	22	transformed	transform	VERB
ajst-25588	25	23	by	by	ADP
ajst-25588	25	24	the	the	DET
ajst-25588	25	25	algorithm	algorithm	NOUN
ajst-25588	25	26	formula	formula	NOUN
ajst-25588	25	27	f	f	PROPN
ajst-25588	25	28	(	(	PUNCT
ajst-25588	25	29	k	k	PROPN
ajst-25588	25	30	)	)	PUNCT
ajst-25588	25	31	,	,	PUNCT
ajst-25588	25	32	the	the	DET
ajst-25588	25	33	pixel	pixel	PROPN
ajst-25588	25	34	value	value	NOUN
ajst-25588	25	35	at	at	ADP
ajst-25588	25	36	the	the	DET
ajst-25588	25	37	position	position	NOUN
ajst-25588	25	38	becomes	become	VERB
ajst-25588	25	39	h.	h.	NOUN
ajst-25588	25	40	since	since	SCONJ
ajst-25588	25	41	there	there	PRON
ajst-25588	25	42	is	be	VERB
ajst-25588	25	43	a	a	DET
ajst-25588	25	44	mapping	mapping	NOUN
ajst-25588	25	45	relationship	relationship	NOUN
ajst-25588	25	46	between	between	ADP
ajst-25588	25	47	gray	gray	ADJ
ajst-25588	25	48	images	image	NOUN
ajst-25588	25	49	of	of	ADP
ajst-25588	25	50	function	function	NOUN
ajst-25588	25	51	f	f	PROPN
ajst-25588	25	52	(	(	PUNCT
ajst-25588	25	53	k	k	NOUN
ajst-25588	25	54	)	)	PUNCT
ajst-25588	25	55	,	,	PUNCT
ajst-25588	25	56	the	the	DET
ajst-25588	25	57	formula	formula	NOUN
ajst-25588	25	58	after	after	ADP
ajst-25588	25	59	gray	gray	ADJ
ajst-25588	25	60	transformation	transformation	NOUN
ajst-25588	25	61	is	be	AUX
ajst-25588	25	62	the	the	DET
ajst-25588	25	63	expansion	expansion	NOUN
ajst-25588	25	64	of	of	ADP
ajst-25588	25	65	its	its	PRON
ajst-25588	25	66	mapping	mapping	NOUN
ajst-25588	25	67	formula	formula	NOUN
ajst-25588	25	68	.	.	PUNCT
ajst-25588	26	1	2.1.2	2.1.2	X
ajst-25588	26	2	.	.	PUNCT
ajst-25588	26	3	binary	binary	ADJ
ajst-25588	26	4	image	image	NOUN
ajst-25588	26	5	usually	usually	ADV
ajst-25588	26	6	a	a	DET
ajst-25588	26	7	normal	normal	ADJ
ajst-25588	26	8	view	view	NOUN
ajst-25588	26	9	is	be	AUX
ajst-25588	26	10	that	that	PRON
ajst-25588	26	11	black	black	ADJ
ajst-25588	26	12	and	and	CCONJ
ajst-25588	26	13	white	white	ADJ
ajst-25588	26	14	image	image	NOUN
ajst-25588	26	15	refers	refer	VERB
ajst-25588	26	16	to	to	ADP
ajst-25588	26	17	gray	gray	ADJ
ajst-25588	26	18	scale	scale	NOUN
ajst-25588	26	19	image	image	NOUN
ajst-25588	26	20	,	,	PUNCT
ajst-25588	26	21	in	in	ADP
ajst-25588	26	22	practice	practice	NOUN
ajst-25588	26	23	,	,	PUNCT
ajst-25588	26	24	in	in	ADP
ajst-25588	26	25	addition	addition	NOUN
ajst-25588	26	26	to	to	ADP
ajst-25588	26	27	gray	gray	ADJ
ajst-25588	26	28	scale	scale	NOUN
ajst-25588	26	29	image	image	NOUN
ajst-25588	26	30	,	,	PUNCT
ajst-25588	26	31	there	there	PRON
ajst-25588	26	32	is	be	VERB
ajst-25588	26	33	a	a	DET
ajst-25588	26	34	class	class	NOUN
ajst-25588	26	35	of	of	ADP
ajst-25588	26	36	binary	binary	ADJ
ajst-25588	26	37	image	image	NOUN
ajst-25588	26	38	.	.	PUNCT
ajst-25588	27	1	strictly	strictly	ADV
ajst-25588	27	2	speaking	speak	VERB
ajst-25588	27	3	,	,	PUNCT
ajst-25588	27	4	binary	binary	ADJ
ajst-25588	27	5	image	image	NOUN
ajst-25588	27	6	is	be	AUX
ajst-25588	27	7	a	a	DET
ajst-25588	27	8	real	real	ADJ
ajst-25588	27	9	black	black	ADJ
ajst-25588	27	10	and	and	CCONJ
ajst-25588	27	11	white	white	ADJ
ajst-25588	27	12	image	image	NOUN
ajst-25588	27	13	,	,	PUNCT
ajst-25588	27	14	because	because	SCONJ
ajst-25588	27	15	the	the	DET
ajst-25588	27	16	gray	gray	ADJ
ajst-25588	27	17	scale	scale	NOUN
ajst-25588	27	18	of	of	ADP
ajst-25588	27	19	the	the	DET
ajst-25588	27	20	binary	binary	ADJ
ajst-25588	27	21	image	image	NOUN
ajst-25588	27	22	can	can	AUX
ajst-25588	27	23	only	only	ADV
ajst-25588	27	24	reach	reach	VERB
ajst-25588	27	25	0	0	NUM
ajst-25588	27	26	and	and	CCONJ
ajst-25588	27	27	255	255	NUM
ajst-25588	27	28	,	,	PUNCT
ajst-25588	27	29	the	the	DET
ajst-25588	27	30	color	color	NOUN
ajst-25588	27	31	of	of	ADP
ajst-25588	27	32	0	0	NUM
ajst-25588	27	33	represents	represent	VERB
ajst-25588	27	34	black	black	ADJ
ajst-25588	27	35	,	,	PUNCT
ajst-25588	27	36	255	255	NUM
ajst-25588	27	37	white	white	ADJ
ajst-25588	27	38	.	.	PUNCT
ajst-25588	28	1	in	in	ADP
ajst-25588	28	2	this	this	DET
ajst-25588	28	3	paper	paper	NOUN
ajst-25588	28	4	,	,	PUNCT
ajst-25588	28	5	a	a	DET
ajst-25588	28	6	new	new	ADJ
ajst-25588	28	7	histogram	histogram	NOUN
ajst-25588	28	8	equalization	equalization	NOUN
ajst-25588	28	9	method	method	NOUN
ajst-25588	28	10	based	base	VERB
ajst-25588	28	11	on	on	ADP
ajst-25588	28	12	gray	gray	ADJ
ajst-25588	28	13	space	space	NOUN
ajst-25588	28	14	is	be	AUX
ajst-25588	28	15	introduced	introduce	VERB
ajst-25588	28	16	,	,	PUNCT
ajst-25588	28	17	which	which	PRON
ajst-25588	28	18	can	can	AUX
ajst-25588	28	19	adjust	adjust	VERB
ajst-25588	28	20	the	the	DET
ajst-25588	28	21	brightness	brightness	NOUN
ajst-25588	28	22	and	and	CCONJ
ajst-25588	28	23	color	color	NOUN
ajst-25588	28	24	of	of	ADP
ajst-25588	28	25	the	the	DET
ajst-25588	28	26	image	image	NOUN
ajst-25588	28	27	according	accord	VERB
ajst-25588	28	28	to	to	ADP
ajst-25588	28	29	the	the	DET
ajst-25588	28	30	actual	actual	ADJ
ajst-25588	28	31	needs	need	NOUN
ajst-25588	28	32	.	.	PUNCT
ajst-25588	29	1	when	when	SCONJ
ajst-25588	29	2	the	the	DET
ajst-25588	29	3	gray	gray	ADJ
ajst-25588	29	4	value	value	NOUN
ajst-25588	29	5	of	of	ADP
ajst-25588	29	6	an	an	DET
ajst-25588	29	7	image	image	NOUN
ajst-25588	29	8	pixel	pixel	NOUN
ajst-25588	29	9	exceeds	exceed	VERB
ajst-25588	29	10	the	the	DET
ajst-25588	29	11	set	set	NOUN
ajst-25588	29	12	threshold	threshold	NOUN
ajst-25588	29	13	,	,	PUNCT
ajst-25588	29	14	the	the	DET
ajst-25588	29	15	pixel	pixel	PROPN
ajst-25588	29	16	value	value	NOUN
ajst-25588	29	17	in	in	ADP
ajst-25588	29	18	the	the	DET
ajst-25588	29	19	figure	figure	NOUN
ajst-25588	29	20	is	be	AUX
ajst-25588	29	21	255	255	NUM
ajst-25588	29	22	,	,	PUNCT
ajst-25588	29	23	otherwise	otherwise	ADV
ajst-25588	29	24	,	,	PUNCT
ajst-25588	29	25	it	it	PRON
ajst-25588	29	26	is	be	AUX
ajst-25588	29	27	0	0	NUM
ajst-25588	29	28	.	.	PUNCT
ajst-25588	29	29	2.2	2.2	NUM
ajst-25588	29	30	.	.	PUNCT
ajst-25588	30	1	image	image	NOUN
ajst-25588	30	2	denoising	denoise	VERB
ajst-25588	30	3	the	the	DET
ajst-25588	30	4	existing	exist	VERB
ajst-25588	30	5	digital	digital	ADJ
ajst-25588	30	6	images	image	NOUN
ajst-25588	30	7	are	be	AUX
ajst-25588	30	8	all	all	PRON
ajst-25588	30	9	noisy	noisy	ADJ
ajst-25588	30	10	images	image	NOUN
ajst-25588	30	11	,	,	PUNCT
ajst-25588	30	12	which	which	PRON
ajst-25588	30	13	means	mean	VERB
ajst-25588	30	14	that	that	SCONJ
ajst-25588	30	15	the	the	DET
ajst-25588	30	16	image	image	NOUN
ajst-25588	30	17	data	data	NOUN
ajst-25588	30	18	contains	contain	VERB
ajst-25588	30	19	some	some	DET
ajst-25588	30	20	useless	useless	ADJ
ajst-25588	30	21	clutter	clutter	NOUN
ajst-25588	30	22	information	information	NOUN
ajst-25588	30	23	and	and	CCONJ
ajst-25588	30	24	interference	interference	NOUN
ajst-25588	30	25	information	information	NOUN
ajst-25588	30	26	,	,	PUNCT
ajst-25588	30	27	which	which	PRON
ajst-25588	30	28	is	be	AUX
ajst-25588	30	29	usually	usually	ADV
ajst-25588	30	30	in	in	ADP
ajst-25588	30	31	the	the	DET
ajst-25588	30	32	form	form	NOUN
ajst-25588	30	33	of	of	ADP
ajst-25588	30	34	pixels	pixel	NOUN
ajst-25588	30	35	.	.	PUNCT
ajst-25588	31	1	pixel	pixel	NOUN
ajst-25588	31	2	blocks	block	NOUN
ajst-25588	31	3	and	and	CCONJ
ajst-25588	31	4	other	other	ADJ
ajst-25588	31	5	visual	visual	ADJ
ajst-25588	31	6	effects	effect	NOUN
ajst-25588	31	7	are	be	AUX
ajst-25588	31	8	strong	strong	ADJ
ajst-25588	31	9	,	,	PUNCT
ajst-25588	31	10	so	so	CCONJ
ajst-25588	31	11	it	it	PRON
ajst-25588	31	12	is	be	AUX
ajst-25588	31	13	very	very	ADV
ajst-25588	31	14	necessary	necessary	ADJ
ajst-25588	31	15	to	to	PART
ajst-25588	31	16	carry	carry	VERB
ajst-25588	31	17	out	out	ADP
ajst-25588	31	18	image	image	NOUN
ajst-25588	31	19	processing	processing	NOUN
ajst-25588	31	20	after	after	ADP
ajst-25588	31	21	image	image	NOUN
ajst-25588	31	22	noise	noise	NOUN
ajst-25588	31	23	reduction	reduction	NOUN
ajst-25588	31	24	,	,	PUNCT
ajst-25588	31	25	which	which	PRON
ajst-25588	31	26	not	not	PART
ajst-25588	31	27	only	only	ADV
ajst-25588	31	28	improves	improve	VERB
ajst-25588	31	29	the	the	DET
ajst-25588	31	30	quality	quality	NOUN
ajst-25588	31	31	of	of	ADP
ajst-25588	31	32	the	the	DET
ajst-25588	31	33	image	image	NOUN
ajst-25588	31	34	,	,	PUNCT
ajst-25588	31	35	but	but	CCONJ
ajst-25588	31	36	also	also	ADV
ajst-25588	31	37	avoids	avoid	VERB
ajst-25588	31	38	its	its	PRON
ajst-25588	31	39	useless	useless	ADJ
ajst-25588	31	40	information	information	NOUN
ajst-25588	31	41	interfering	interfere	VERB
ajst-25588	31	42	with	with	ADP
ajst-25588	31	43	people	people	NOUN
ajst-25588	31	44	's	's	PART
ajst-25588	31	45	detection	detection	NOUN
ajst-25588	31	46	of	of	ADP
ajst-25588	31	47	the	the	DET
ajst-25588	31	48	data	datum	NOUN
ajst-25588	31	49	.	.	PUNCT
ajst-25588	32	1	image	image	NOUN
ajst-25588	32	2	filtering	filtering	NOUN
ajst-25588	32	3	can	can	AUX
ajst-25588	32	4	suppress	suppress	VERB
ajst-25588	32	5	the	the	DET
ajst-25588	32	6	noise	noise	NOUN
ajst-25588	32	7	in	in	ADP
ajst-25588	32	8	the	the	DET
ajst-25588	32	9	target	target	NOUN
ajst-25588	32	10	image	image	NOUN
ajst-25588	32	11	while	while	SCONJ
ajst-25588	32	12	ensuring	ensure	VERB
ajst-25588	32	13	that	that	SCONJ
ajst-25588	32	14	the	the	DET
ajst-25588	32	15	image	image	NOUN
ajst-25588	32	16	features	feature	NOUN
ajst-25588	32	17	are	be	AUX
ajst-25588	32	18	preserved	preserve	VERB
ajst-25588	32	19	.	.	PUNCT
ajst-25588	33	1	usually	usually	ADV
ajst-25588	33	2	,	,	PUNCT
ajst-25588	33	3	there	there	PRON
ajst-25588	33	4	are	be	VERB
ajst-25588	33	5	two	two	NUM
ajst-25588	33	6	kinds	kind	NOUN
ajst-25588	33	7	of	of	ADP
ajst-25588	33	8	filtering	filtering	NOUN
ajst-25588	33	9	,	,	PUNCT
ajst-25588	33	10	linear	linear	ADJ
ajst-25588	33	11	and	and	CCONJ
ajst-25588	33	12	nonlinear	nonlinear	ADJ
ajst-25588	33	13	,	,	PUNCT
ajst-25588	33	14	while	while	SCONJ
ajst-25588	33	15	the	the	DET
ajst-25588	33	16	mean	mean	NOUN
ajst-25588	33	17	filtering	filtering	NOUN
ajst-25588	33	18	is	be	AUX
ajst-25588	33	19	linear	linear	ADJ
ajst-25588	33	20	,	,	PUNCT
ajst-25588	33	21	averaging	average	VERB
ajst-25588	33	22	all	all	DET
ajst-25588	33	23	pixel	pixel	ADJ
ajst-25588	33	24	values	value	NOUN
ajst-25588	33	25	in	in	ADP
ajst-25588	33	26	a	a	DET
ajst-25588	33	27	certain	certain	ADJ
ajst-25588	33	28	area	area	NOUN
ajst-25588	33	29	and	and	CCONJ
ajst-25588	33	30	giving	give	VERB
ajst-25588	33	31	the	the	DET
ajst-25588	33	32	average	average	ADJ
ajst-25588	33	33	value	value	NOUN
ajst-25588	33	34	of	of	ADP
ajst-25588	33	35	pixels	pixel	NOUN
ajst-25588	33	36	at	at	ADP
ajst-25588	33	37	the	the	DET
ajst-25588	33	38	center	center	NOUN
ajst-25588	33	39	of	of	ADP
ajst-25588	33	40	the	the	DET
ajst-25588	33	41	image	image	NOUN
ajst-25588	33	42	.	.	PUNCT
ajst-25588	34	1	nonlinear	nonlinear	NOUN
ajst-25588	34	2	is	be	AUX
ajst-25588	34	3	more	more	ADV
ajst-25588	34	4	difficult	difficult	ADJ
ajst-25588	34	5	than	than	ADP
ajst-25588	34	6	linear	linear	ADJ
ajst-25588	34	7	,	,	PUNCT
ajst-25588	34	8	and	and	CCONJ
ajst-25588	34	9	the	the	DET
ajst-25588	34	10	maximum	maximum	ADJ
ajst-25588	34	11	or	or	CCONJ
ajst-25588	34	12	126	126	NUM
ajst-25588	34	13	minimum	minimum	NOUN
ajst-25588	34	14	value	value	NOUN
ajst-25588	34	15	of	of	ADP
ajst-25588	34	16	pixels	pixel	NOUN
ajst-25588	34	17	in	in	ADP
ajst-25588	34	18	a	a	DET
ajst-25588	34	19	certain	certain	ADJ
ajst-25588	34	20	range	range	NOUN
ajst-25588	34	21	,	,	PUNCT
ajst-25588	34	22	which	which	PRON
ajst-25588	34	23	is	be	AUX
ajst-25588	34	24	nonlinear	nonlinear	ADJ
ajst-25588	34	25	,	,	PUNCT
ajst-25588	34	26	needs	need	VERB
ajst-25588	34	27	to	to	PART
ajst-25588	34	28	be	be	AUX
ajst-25588	34	29	calculated	calculate	VERB
ajst-25588	34	30	.	.	PUNCT
ajst-25588	35	1	2.2.1	2.2.1	NUM
ajst-25588	35	2	.	.	PUNCT
ajst-25588	36	1	linear	linear	ADJ
ajst-25588	36	2	filtering	filter	VERB
ajst-25588	36	3	commonly	commonly	ADV
ajst-25588	36	4	used	use	VERB
ajst-25588	36	5	kinds	kind	NOUN
ajst-25588	36	6	of	of	ADP
ajst-25588	36	7	linear	linear	ADJ
ajst-25588	36	8	filtering	filtering	NOUN
ajst-25588	36	9	include	include	VERB
ajst-25588	36	10	mean	mean	NOUN
ajst-25588	36	11	value	value	NOUN
ajst-25588	36	12	filtering	filtering	NOUN
ajst-25588	36	13	,	,	PUNCT
ajst-25588	36	14	gaussian	gaussian	ADJ
ajst-25588	36	15	filtering	filtering	NOUN
ajst-25588	36	16	,	,	PUNCT
ajst-25588	36	17	etc	etc	X
ajst-25588	36	18	.	.	X
ajst-25588	37	1	mean	mean	VERB
ajst-25588	37	2	filtering	filtering	NOUN
ajst-25588	37	3	processes	process	NOUN
ajst-25588	37	4	the	the	DET
ajst-25588	37	5	average	average	ADJ
ajst-25588	37	6	value	value	NOUN
ajst-25588	37	7	of	of	ADP
ajst-25588	37	8	the	the	DET
ajst-25588	37	9	pixel	pixel	NOUN
ajst-25588	37	10	in	in	ADP
ajst-25588	37	11	the	the	DET
ajst-25588	37	12	target	target	NOUN
ajst-25588	37	13	area	area	NOUN
ajst-25588	37	14	,	,	PUNCT
ajst-25588	37	15	and	and	CCONJ
ajst-25588	37	16	gives	give	VERB
ajst-25588	37	17	the	the	DET
ajst-25588	37	18	average	average	ADJ
ajst-25588	37	19	value	value	NOUN
ajst-25588	37	20	of	of	ADP
ajst-25588	37	21	the	the	DET
ajst-25588	37	22	pixel	pixel	NOUN
ajst-25588	37	23	in	in	ADP
ajst-25588	37	24	the	the	DET
ajst-25588	37	25	center	center	NOUN
ajst-25588	37	26	position	position	NOUN
ajst-25588	37	27	.	.	PUNCT
ajst-25588	38	1	gaussian	gaussian	ADJ
ajst-25588	38	2	filtering	filtering	NOUN
ajst-25588	38	3	is	be	AUX
ajst-25588	38	4	a	a	DET
ajst-25588	38	5	method	method	NOUN
ajst-25588	38	6	which	which	PRON
ajst-25588	38	7	averages	average	VERB
ajst-25588	38	8	all	all	DET
ajst-25588	38	9	pixels	pixel	NOUN
ajst-25588	38	10	in	in	ADP
ajst-25588	38	11	the	the	DET
ajst-25588	38	12	image	image	NOUN
ajst-25588	38	13	and	and	CCONJ
ajst-25588	38	14	then	then	ADV
ajst-25588	38	15	calculating	calculate	VERB
ajst-25588	38	16	the	the	DET
ajst-25588	38	17	coordinates	coordinate	NOUN
ajst-25588	38	18	of	of	ADP
ajst-25588	38	19	the	the	DET
ajst-25588	38	20	center	center	NOUN
ajst-25588	38	21	points	point	NOUN
ajst-25588	38	22	.	.	PUNCT
ajst-25588	39	1	gaussian	gaussian	ADJ
ajst-25588	39	2	filtering	filtering	NOUN
ajst-25588	39	3	refers	refer	VERB
ajst-25588	39	4	to	to	ADP
ajst-25588	39	5	the	the	DET
ajst-25588	39	6	filtering	filtering	NOUN
ajst-25588	39	7	of	of	ADP
ajst-25588	39	8	the	the	DET
ajst-25588	39	9	unknown	unknown	ADJ
ajst-25588	39	10	pixel	pixel	NOUN
ajst-25588	39	11	in	in	ADP
ajst-25588	39	12	the	the	DET
ajst-25588	39	13	center	center	NOUN
ajst-25588	39	14	after	after	ADP
ajst-25588	39	15	the	the	DET
ajst-25588	39	16	gaussian	gaussian	ADJ
ajst-25588	39	17	weighting	weighting	NOUN
ajst-25588	39	18	of	of	ADP
ajst-25588	39	19	the	the	DET
ajst-25588	39	20	pixel	pixel	PROPN
ajst-25588	39	21	values	value	NOUN
ajst-25588	39	22	in	in	ADP
ajst-25588	39	23	the	the	DET
ajst-25588	39	24	target	target	NOUN
ajst-25588	39	25	range	range	NOUN
ajst-25588	39	26	.	.	PUNCT
ajst-25588	40	1	this	this	DET
ajst-25588	40	2	method	method	NOUN
ajst-25588	40	3	is	be	AUX
ajst-25588	40	4	suitable	suitable	ADJ
ajst-25588	40	5	for	for	ADP
ajst-25588	40	6	images	image	NOUN
ajst-25588	40	7	with	with	ADP
ajst-25588	40	8	little	little	ADJ
ajst-25588	40	9	change	change	NOUN
ajst-25588	40	10	in	in	ADP
ajst-25588	40	11	gray	gray	ADJ
ajst-25588	40	12	level	level	NOUN
ajst-25588	40	13	or	or	CCONJ
ajst-25588	40	14	strong	strong	ADJ
ajst-25588	40	15	local	local	ADJ
ajst-25588	40	16	contrast	contrast	NOUN
ajst-25588	40	17	.	.	PUNCT
ajst-25588	41	1	the	the	DET
ajst-25588	41	2	mapping	mapping	NOUN
ajst-25588	41	3	function	function	NOUN
ajst-25588	41	4	of	of	ADP
ajst-25588	41	5	linear	linear	ADJ
ajst-25588	41	6	filtering	filtering	NOUN
ajst-25588	41	7	is	be	AUX
ajst-25588	41	8	linear	linear	ADJ
ajst-25588	41	9	,	,	PUNCT
ajst-25588	41	10	so	so	ADV
ajst-25588	41	11	the	the	DET
ajst-25588	41	12	convolution	convolution	NOUN
ajst-25588	41	13	form	form	NOUN
ajst-25588	41	14	is	be	AUX
ajst-25588	41	15	expressed	express	VERB
ajst-25588	41	16	as	as	ADP
ajst-25588	41	17	y	y	PROPN
ajst-25588	41	18	=	=	NOUN
ajst-25588	41	19	h*x	h*x	ADJ
ajst-25588	41	20	,	,	PUNCT
ajst-25588	41	21	and	and	CCONJ
ajst-25588	41	22	the	the	DET
ajst-25588	41	23	convolution	convolution	NOUN
ajst-25588	41	24	kernel	kernel	NOUN
ajst-25588	41	25	is	be	AUX
ajst-25588	41	26	h	h	NOUN
ajst-25588	42	1	[	[	X
ajst-25588	42	2	9	9	NUM
ajst-25588	42	3	]	]	PUNCT
ajst-25588	42	4	,	,	PUNCT
ajst-25588	42	5	so	so	ADV
ajst-25588	42	6	formulas	formula	NOUN
ajst-25588	42	7	1	1	NUM
ajst-25588	42	8	are	be	AUX
ajst-25588	42	9	as	as	SCONJ
ajst-25588	42	10	follows	follow	VERB
ajst-25588	42	11	:	:	PUNCT
ajst-25588	42	12	,	,	PUNCT
ajst-25588	42	13	∑	∑	ADP
ajst-25588	42	14	∑	∑	INTJ
ajst-25588	42	15	,	,	PUNCT
ajst-25588	42	16	,	,	PUNCT
ajst-25588	42	17	(	(	PUNCT
ajst-25588	42	18	1	1	X
ajst-25588	42	19	)	)	PUNCT
ajst-25588	42	20	2.2.2	2.2.2	NUM
ajst-25588	42	21	.	.	PUNCT
ajst-25588	43	1	nonlinear	nonlinear	ADJ
ajst-25588	43	2	filtering	filter	VERB
ajst-25588	43	3	the	the	DET
ajst-25588	43	4	nonlinear	nonlinear	ADJ
ajst-25588	43	5	filtering	filtering	NOUN
ajst-25588	43	6	usually	usually	ADV
ajst-25588	43	7	used	use	VERB
ajst-25588	43	8	is	be	AUX
ajst-25588	43	9	the	the	DET
ajst-25588	43	10	median	median	ADJ
ajst-25588	43	11	filtering	filtering	NOUN
ajst-25588	43	12	,	,	PUNCT
ajst-25588	43	13	bilateral	bilateral	ADJ
ajst-25588	43	14	filtering	filtering	NOUN
ajst-25588	43	15	,	,	PUNCT
ajst-25588	43	16	etc	etc	X
ajst-25588	43	17	.	.	X
ajst-25588	43	18	,	,	PUNCT
ajst-25588	43	19	each	each	DET
ajst-25588	43	20	nonlinear	nonlinear	ADJ
ajst-25588	43	21	filtering	filtering	NOUN
ajst-25588	43	22	has	have	VERB
ajst-25588	43	23	no	no	DET
ajst-25588	43	24	specific	specific	ADJ
ajst-25588	43	25	manifestation	manifestation	NOUN
ajst-25588	43	26	,	,	PUNCT
ajst-25588	43	27	so	so	ADV
ajst-25588	43	28	the	the	DET
ajst-25588	43	29	general	general	ADJ
ajst-25588	43	30	nonlinear	nonlinear	ADJ
ajst-25588	43	31	filtering	filtering	NOUN
ajst-25588	43	32	is	be	AUX
ajst-25588	43	33	to	to	PART
ajst-25588	43	34	filter	filter	VERB
ajst-25588	43	35	the	the	DET
ajst-25588	43	36	pixel	pixel	PROPN
ajst-25588	43	37	value	value	NOUN
ajst-25588	43	38	in	in	ADP
ajst-25588	43	39	a	a	DET
ajst-25588	43	40	certain	certain	ADJ
ajst-25588	43	41	region	region	NOUN
ajst-25588	43	42	after	after	ADP
ajst-25588	43	43	the	the	DET
ajst-25588	43	44	maximum	maximum	ADJ
ajst-25588	43	45	or	or	CCONJ
ajst-25588	43	46	minimum	minimum	ADJ
ajst-25588	43	47	value	value	NOUN
ajst-25588	43	48	,	,	PUNCT
ajst-25588	43	49	and	and	CCONJ
ajst-25588	43	50	the	the	DET
ajst-25588	43	51	pixel	pixel	PROPN
ajst-25588	43	52	value	value	NOUN
ajst-25588	43	53	in	in	ADP
ajst-25588	43	54	the	the	DET
ajst-25588	43	55	center	center	NOUN
ajst-25588	43	56	position	position	NOUN
ajst-25588	43	57	will	will	AUX
ajst-25588	43	58	be	be	AUX
ajst-25588	43	59	replaced	replace	VERB
ajst-25588	43	60	.	.	PUNCT
ajst-25588	44	1	the	the	DET
ajst-25588	44	2	gaussian	gaussian	ADJ
ajst-25588	44	3	filter	filter	NOUN
ajst-25588	44	4	method	method	NOUN
ajst-25588	44	5	is	be	AUX
ajst-25588	44	6	suitable	suitable	ADJ
ajst-25588	44	7	for	for	ADP
ajst-25588	44	8	images	image	NOUN
ajst-25588	44	9	with	with	ADP
ajst-25588	44	10	little	little	ADJ
ajst-25588	44	11	change	change	NOUN
ajst-25588	44	12	in	in	ADP
ajst-25588	44	13	gray	gray	ADJ
ajst-25588	44	14	level	level	NOUN
ajst-25588	44	15	or	or	CCONJ
ajst-25588	44	16	strong	strong	ADJ
ajst-25588	44	17	local	local	ADJ
ajst-25588	44	18	contrast	contrast	NOUN
ajst-25588	44	19	.	.	PUNCT
ajst-25588	45	1	median	median	ADJ
ajst-25588	45	2	filtering	filtering	NOUN
ajst-25588	45	3	is	be	AUX
ajst-25588	45	4	to	to	PART
ajst-25588	45	5	arrange	arrange	VERB
ajst-25588	45	6	the	the	DET
ajst-25588	45	7	pixel	pixel	PROPN
ajst-25588	45	8	values	value	NOUN
ajst-25588	45	9	within	within	ADP
ajst-25588	45	10	the	the	DET
ajst-25588	45	11	region	region	NOUN
ajst-25588	45	12	in	in	ADP
ajst-25588	45	13	an	an	DET
ajst-25588	45	14	orderly	orderly	ADJ
ajst-25588	45	15	manner	manner	NOUN
ajst-25588	45	16	and	and	CCONJ
ajst-25588	45	17	then	then	ADV
ajst-25588	45	18	filter	filter	VERB
ajst-25588	45	19	,	,	PUNCT
ajst-25588	45	20	replacing	replace	VERB
ajst-25588	45	21	the	the	DET
ajst-25588	45	22	center	center	ADJ
ajst-25588	45	23	position	position	NOUN
ajst-25588	45	24	of	of	ADP
ajst-25588	45	25	the	the	DET
ajst-25588	45	26	pixel	pixel	PROPN
ajst-25588	45	27	values	value	NOUN
ajst-25588	45	28	in	in	ADP
ajst-25588	45	29	the	the	DET
ajst-25588	45	30	region	region	NOUN
ajst-25588	45	31	with	with	ADP
ajst-25588	45	32	the	the	DET
ajst-25588	45	33	middle	middle	ADJ
ajst-25588	45	34	value	value	NOUN
ajst-25588	45	35	.	.	PUNCT
ajst-25588	46	1	formula	formula	NOUN
ajst-25588	46	2	2	2	NUM
ajst-25588	46	3	of	of	ADP
ajst-25588	46	4	nonlinear	nonlinear	ADJ
ajst-25588	46	5	filtering	filtering	NOUN
ajst-25588	46	6	is	be	AUX
ajst-25588	46	7	as	as	SCONJ
ajst-25588	46	8	follows	follow	VERB
ajst-25588	46	9	:	:	PUNCT
ajst-25588	46	10	(	(	PUNCT
ajst-25588	46	11	x	x	PRON
ajst-25588	46	12	represents	represent	VERB
ajst-25588	46	13	the	the	DET
ajst-25588	46	14	input	input	NOUN
ajst-25588	46	15	image	image	NOUN
ajst-25588	46	16	,	,	PUNCT
ajst-25588	46	17	i	i	PRON
ajst-25588	46	18	represents	represent	VERB
ajst-25588	46	19	the	the	DET
ajst-25588	46	20	abscissa	abscissa	NOUN
ajst-25588	46	21	,	,	PUNCT
ajst-25588	46	22	j	j	PROPN
ajst-25588	46	23	represents	represent	VERB
ajst-25588	46	24	the	the	DET
ajst-25588	46	25	ordinate	ordinate	NOUN
ajst-25588	46	26	)	)	PUNCT
ajst-25588	46	27	,	,	PUNCT
ajst-25588	46	28	—	—	PUNCT
ajst-25588	46	29	,	,	PUNCT
ajst-25588	46	30	—	—	PUNCT
ajst-25588	46	31	,	,	PUNCT
ajst-25588	46	32	…	…	PUNCT
ajst-25588	46	33	,	,	PUNCT
ajst-25588	46	34	,	,	PUNCT
ajst-25588	46	35	,	,	PUNCT
ajst-25588	46	36	…	…	PUNCT
ajst-25588	46	37	,	,	PUNCT
ajst-25588	46	38	,	,	PUNCT
ajst-25588	46	39	(	(	PUNCT
ajst-25588	46	40	2	2	X
ajst-25588	46	41	)	)	PUNCT
ajst-25588	46	42	2.3	2.3	NUM
ajst-25588	46	43	.	.	PUNCT
ajst-25588	47	1	object	object	NOUN
ajst-25588	47	2	detection	detection	NOUN
ajst-25588	47	3	algorithm	algorithm	NOUN
ajst-25588	47	4	the	the	DET
ajst-25588	47	5	feature	feature	NOUN
ajst-25588	47	6	extraction	extraction	NOUN
ajst-25588	47	7	of	of	ADP
ajst-25588	47	8	weld	weld	NOUN
ajst-25588	47	9	marks	mark	NOUN
ajst-25588	47	10	generally	generally	ADV
ajst-25588	47	11	includes	include	VERB
ajst-25588	47	12	image	image	NOUN
ajst-25588	47	13	features	feature	NOUN
ajst-25588	47	14	of	of	ADP
ajst-25588	47	15	texture	texture	NOUN
ajst-25588	47	16	,	,	PUNCT
ajst-25588	47	17	color	color	NOUN
ajst-25588	47	18	,	,	PUNCT
ajst-25588	47	19	shape	shape	NOUN
ajst-25588	47	20	,	,	PUNCT
ajst-25588	47	21	spatial	spatial	ADJ
ajst-25588	47	22	relationship	relationship	NOUN
ajst-25588	47	23	,	,	PUNCT
ajst-25588	47	24	etc	etc	X
ajst-25588	47	25	.	.	X
ajst-25588	48	1	after	after	ADP
ajst-25588	48	2	image	image	NOUN
ajst-25588	48	3	reading	reading	NOUN
ajst-25588	48	4	,	,	PUNCT
ajst-25588	48	5	image	image	NOUN
ajst-25588	48	6	features	feature	NOUN
ajst-25588	48	7	are	be	AUX
ajst-25588	48	8	extracted	extract	VERB
ajst-25588	48	9	,	,	PUNCT
ajst-25588	48	10	and	and	CCONJ
ajst-25588	48	11	image	image	NOUN
ajst-25588	48	12	feature	feature	NOUN
ajst-25588	48	13	data	datum	NOUN
ajst-25588	48	14	is	be	AUX
ajst-25588	48	15	collected	collect	VERB
ajst-25588	48	16	and	and	CCONJ
ajst-25588	48	17	uploaded	upload	VERB
ajst-25588	48	18	to	to	ADP
ajst-25588	48	19	the	the	DET
ajst-25588	48	20	classifier	classifier	NOUN
ajst-25588	48	21	.	.	PUNCT
ajst-25588	49	1	in	in	ADP
ajst-25588	49	2	the	the	DET
ajst-25588	49	3	process	process	NOUN
ajst-25588	49	4	of	of	ADP
ajst-25588	49	5	image	image	NOUN
ajst-25588	49	6	feature	feature	NOUN
ajst-25588	49	7	data	datum	NOUN
ajst-25588	49	8	classifying	classify	VERB
ajst-25588	49	9	,	,	PUNCT
ajst-25588	49	10	the	the	DET
ajst-25588	49	11	basic	basic	ADJ
ajst-25588	49	12	principle	principle	NOUN
ajst-25588	49	13	is	be	AUX
ajst-25588	49	14	to	to	PART
ajst-25588	49	15	distinguish	distinguish	VERB
ajst-25588	49	16	the	the	DET
ajst-25588	49	17	distinctive	distinctive	ADJ
ajst-25588	49	18	feature	feature	NOUN
ajst-25588	49	19	data	datum	NOUN
ajst-25588	49	20	of	of	ADP
ajst-25588	49	21	the	the	DET
ajst-25588	49	22	image	image	NOUN
ajst-25588	49	23	from	from	ADP
ajst-25588	49	24	other	other	ADJ
ajst-25588	49	25	images	image	NOUN
ajst-25588	49	26	.	.	PUNCT
ajst-25588	50	1	due	due	ADP
ajst-25588	50	2	to	to	ADP
ajst-25588	50	3	the	the	DET
ajst-25588	50	4	diversity	diversity	NOUN
ajst-25588	50	5	of	of	ADP
ajst-25588	50	6	the	the	DET
ajst-25588	50	7	image	image	NOUN
ajst-25588	50	8	itself	itself	PRON
ajst-25588	50	9	,	,	PUNCT
ajst-25588	50	10	the	the	DET
ajst-25588	50	11	extracted	extract	VERB
ajst-25588	50	12	feature	feature	NOUN
ajst-25588	50	13	vectors	vector	NOUN
ajst-25588	50	14	are	be	AUX
ajst-25588	50	15	also	also	ADV
ajst-25588	50	16	different	different	ADJ
ajst-25588	50	17	,	,	PUNCT
ajst-25588	50	18	which	which	PRON
ajst-25588	50	19	makes	make	VERB
ajst-25588	50	20	it	it	PRON
ajst-25588	50	21	impossible	impossible	ADJ
ajst-25588	50	22	for	for	ADP
ajst-25588	50	23	the	the	DET
ajst-25588	50	24	traditional	traditional	ADJ
ajst-25588	50	25	method	method	NOUN
ajst-25588	50	26	to	to	PART
ajst-25588	50	27	achieve	achieve	VERB
ajst-25588	50	28	the	the	DET
ajst-25588	50	29	expected	expect	VERB
ajst-25588	50	30	effect	effect	NOUN
ajst-25588	50	31	.	.	PUNCT
ajst-25588	51	1	2.3.1	2.3.1	X
ajst-25588	51	2	.	.	PUNCT
ajst-25588	51	3	textural	textural	ADJ
ajst-25588	51	4	features	feature	NOUN
ajst-25588	51	5	texture	texture	NOUN
ajst-25588	51	6	is	be	AUX
ajst-25588	51	7	an	an	DET
ajst-25588	51	8	attribute	attribute	NOUN
ajst-25588	51	9	that	that	PRON
ajst-25588	51	10	shows	show	VERB
ajst-25588	51	11	the	the	DET
ajst-25588	51	12	relationship	relationship	NOUN
ajst-25588	51	13	between	between	ADP
ajst-25588	51	14	the	the	DET
ajst-25588	51	15	structure	structure	NOUN
ajst-25588	51	16	arrangement	arrangement	NOUN
ajst-25588	51	17	of	of	ADP
ajst-25588	51	18	the	the	DET
ajst-25588	51	19	surface	surface	NOUN
ajst-25588	51	20	of	of	ADP
ajst-25588	51	21	things	thing	NOUN
ajst-25588	51	22	and	and	CCONJ
ajst-25588	51	23	the	the	DET
ajst-25588	51	24	environment	environment	NOUN
ajst-25588	51	25	,	,	PUNCT
ajst-25588	51	26	and	and	CCONJ
ajst-25588	51	27	also	also	ADV
ajst-25588	51	28	reflects	reflect	VERB
ajst-25588	51	29	the	the	DET
ajst-25588	51	30	homogenous	homogenous	ADJ
ajst-25588	51	31	visual	visual	ADJ
ajst-25588	51	32	features	feature	NOUN
ajst-25588	51	33	in	in	ADP
ajst-25588	51	34	the	the	DET
ajst-25588	51	35	image	image	NOUN
ajst-25588	51	36	.	.	PUNCT
ajst-25588	52	1	usually	usually	ADV
ajst-25588	52	2	,	,	PUNCT
ajst-25588	52	3	the	the	DET
ajst-25588	52	4	image	image	NOUN
ajst-25588	52	5	features	feature	VERB
ajst-25588	52	6	that	that	PRON
ajst-25588	52	7	are	be	AUX
ajst-25588	52	8	repeatedly	repeatedly	ADV
ajst-25588	52	9	displayed	display	VERB
ajst-25588	52	10	by	by	ADP
ajst-25588	52	11	the	the	DET
ajst-25588	52	12	structure	structure	NOUN
ajst-25588	52	13	arrangement	arrangement	NOUN
ajst-25588	52	14	and	and	CCONJ
ajst-25588	52	15	local	local	ADJ
ajst-25588	52	16	pattern	pattern	NOUN
ajst-25588	52	17	are	be	AUX
ajst-25588	52	18	texture	texture	ADJ
ajst-25588	52	19	features	feature	NOUN
ajst-25588	52	20	.	.	PUNCT
ajst-25588	53	1	texture	texture	NOUN
ajst-25588	53	2	features	feature	NOUN
ajst-25588	53	3	have	have	VERB
ajst-25588	53	4	the	the	DET
ajst-25588	53	5	advantages	advantage	NOUN
ajst-25588	53	6	of	of	ADP
ajst-25588	53	7	resisting	resist	VERB
ajst-25588	53	8	noise	noise	NOUN
ajst-25588	53	9	to	to	ADP
ajst-25588	53	10	a	a	DET
ajst-25588	53	11	certain	certain	ADJ
ajst-25588	53	12	extent	extent	NOUN
ajst-25588	53	13	,	,	PUNCT
ajst-25588	53	14	and	and	CCONJ
ajst-25588	53	15	can	can	AUX
ajst-25588	53	16	also	also	ADV
ajst-25588	53	17	be	be	AUX
ajst-25588	53	18	used	use	VERB
ajst-25588	53	19	for	for	ADP
ajst-25588	53	20	statistical	statistical	ADJ
ajst-25588	53	21	calculation	calculation	NOUN
ajst-25588	53	22	of	of	ADP
ajst-25588	53	23	areas	area	NOUN
ajst-25588	53	24	containing	contain	VERB
ajst-25588	53	25	several	several	ADJ
ajst-25588	53	26	pixels	pixel	NOUN
ajst-25588	53	27	.	.	PUNCT
ajst-25588	54	1	in	in	ADP
ajst-25588	54	2	the	the	DET
ajst-25588	54	3	face	face	NOUN
ajst-25588	54	4	of	of	ADP
ajst-25588	54	5	rotating	rotate	VERB
ajst-25588	54	6	photos	photo	NOUN
ajst-25588	54	7	,	,	PUNCT
ajst-25588	54	8	data	datum	NOUN
ajst-25588	54	9	can	can	AUX
ajst-25588	54	10	also	also	ADV
ajst-25588	54	11	be	be	AUX
ajst-25588	54	12	extracted	extract	VERB
ajst-25588	54	13	correctly	correctly	ADV
ajst-25588	54	14	.	.	PUNCT
ajst-25588	55	1	however	however	ADV
ajst-25588	55	2	,	,	PUNCT
ajst-25588	55	3	there	there	PRON
ajst-25588	55	4	will	will	AUX
ajst-25588	55	5	be	be	AUX
ajst-25588	55	6	big	big	ADJ
ajst-25588	55	7	errors	error	NOUN
ajst-25588	55	8	in	in	ADP
ajst-25588	55	9	obtained	obtain	VERB
ajst-25588	55	10	features	feature	NOUN
ajst-25588	55	11	data	datum	NOUN
ajst-25588	55	12	under	under	ADP
ajst-25588	55	13	the	the	DET
ajst-25588	55	14	influence	influence	NOUN
ajst-25588	55	15	of	of	ADP
ajst-25588	55	16	blurred	blurred	ADJ
ajst-25588	55	17	images	image	NOUN
ajst-25588	55	18	or	or	CCONJ
ajst-25588	55	19	light	light	ADJ
ajst-25588	55	20	irradiation	irradiation	NOUN
ajst-25588	55	21	.	.	PUNCT
ajst-25588	56	1	texture	texture	ADJ
ajst-25588	56	2	feature	feature	NOUN
ajst-25588	56	3	extraction	extraction	NOUN
ajst-25588	56	4	usually	usually	ADV
ajst-25588	56	5	adopts	adopt	VERB
ajst-25588	56	6	statistical	statistical	ADJ
ajst-25588	56	7	method	method	NOUN
ajst-25588	56	8	,	,	PUNCT
ajst-25588	56	9	geometric	geometric	ADJ
ajst-25588	56	10	method	method	NOUN
ajst-25588	56	11	,	,	PUNCT
ajst-25588	56	12	model	model	NOUN
ajst-25588	56	13	method	method	NOUN
ajst-25588	56	14	and	and	CCONJ
ajst-25588	56	15	structure	structure	NOUN
ajst-25588	56	16	analysis	analysis	NOUN
ajst-25588	56	17	method	method	NOUN
ajst-25588	56	18	.	.	PUNCT
ajst-25588	57	1	2.3.2	2.3.2	X
ajst-25588	57	2	.	.	PUNCT
ajst-25588	57	3	colour	colour	NOUN
ajst-25588	57	4	signature	signature	NOUN
ajst-25588	57	5	the	the	DET
ajst-25588	57	6	color	color	NOUN
ajst-25588	57	7	feature	feature	NOUN
ajst-25588	57	8	in	in	ADP
ajst-25588	57	9	an	an	DET
ajst-25588	57	10	image	image	NOUN
ajst-25588	57	11	is	be	AUX
ajst-25588	57	12	one	one	NUM
ajst-25588	57	13	of	of	ADP
ajst-25588	57	14	the	the	DET
ajst-25588	57	15	important	important	ADJ
ajst-25588	57	16	features	feature	NOUN
ajst-25588	57	17	,	,	PUNCT
ajst-25588	57	18	which	which	PRON
ajst-25588	57	19	generally	generally	ADV
ajst-25588	57	20	refers	refer	VERB
ajst-25588	57	21	to	to	ADP
ajst-25588	57	22	the	the	DET
ajst-25588	57	23	properties	property	NOUN
ajst-25588	57	24	of	of	ADP
ajst-25588	57	25	the	the	DET
ajst-25588	57	26	corresponding	correspond	VERB
ajst-25588	57	27	surface	surface	NOUN
ajst-25588	57	28	in	in	ADP
ajst-25588	57	29	the	the	DET
ajst-25588	57	30	image	image	NOUN
ajst-25588	57	31	area	area	NOUN
ajst-25588	57	32	.	.	PUNCT
ajst-25588	58	1	texture	texture	ADJ
ajst-25588	58	2	feature	feature	NOUN
ajst-25588	58	3	extraction	extraction	NOUN
ajst-25588	58	4	methods	method	NOUN
ajst-25588	58	5	are	be	AUX
ajst-25588	58	6	mainly	mainly	ADV
ajst-25588	58	7	divided	divide	VERB
ajst-25588	58	8	into	into	ADP
ajst-25588	58	9	two	two	NUM
ajst-25588	58	10	algorithms	algorithm	NOUN
ajst-25588	58	11	based	base	VERB
ajst-25588	58	12	on	on	ADP
ajst-25588	58	13	mathematical	mathematical	ADJ
ajst-25588	58	14	morphology	morphology	NOUN
ajst-25588	58	15	and	and	CCONJ
ajst-25588	58	16	neural	neural	ADJ
ajst-25588	58	17	network	network	NOUN
ajst-25588	58	18	.	.	PUNCT
ajst-25588	59	1	the	the	DET
ajst-25588	59	2	advantage	advantage	NOUN
ajst-25588	59	3	of	of	ADP
ajst-25588	59	4	color	color	NOUN
ajst-25588	59	5	features	feature	NOUN
ajst-25588	59	6	is	be	AUX
ajst-25588	59	7	that	that	SCONJ
ajst-25588	59	8	color	color	NOUN
ajst-25588	59	9	is	be	AUX
ajst-25588	59	10	not	not	PART
ajst-25588	59	11	sensitive	sensitive	ADJ
ajst-25588	59	12	enough	enough	ADV
ajst-25588	59	13	to	to	ADP
ajst-25588	59	14	the	the	DET
ajst-25588	59	15	shape	shape	NOUN
ajst-25588	59	16	,	,	PUNCT
ajst-25588	59	17	rotation	rotation	NOUN
ajst-25588	59	18	and	and	CCONJ
ajst-25588	59	19	other	other	ADJ
ajst-25588	59	20	changes	change	NOUN
ajst-25588	59	21	of	of	ADP
ajst-25588	59	22	the	the	DET
ajst-25588	59	23	image	image	NOUN
ajst-25588	59	24	,	,	PUNCT
ajst-25588	59	25	and	and	CCONJ
ajst-25588	59	26	the	the	DET
ajst-25588	59	27	connection	connection	NOUN
ajst-25588	59	28	between	between	ADP
ajst-25588	59	29	color	color	NOUN
ajst-25588	59	30	and	and	CCONJ
ajst-25588	59	31	the	the	DET
ajst-25588	59	32	object	object	NOUN
ajst-25588	59	33	contained	contain	VERB
ajst-25588	59	34	in	in	ADP
ajst-25588	59	35	the	the	DET
ajst-25588	59	36	image	image	NOUN
ajst-25588	59	37	is	be	AUX
ajst-25588	59	38	closer	close	ADJ
ajst-25588	59	39	.	.	PUNCT
ajst-25588	60	1	color	color	NOUN
ajst-25588	60	2	feature	feature	NOUN
ajst-25588	60	3	extraction	extraction	NOUN
ajst-25588	60	4	is	be	AUX
ajst-25588	60	5	usually	usually	ADV
ajst-25588	60	6	carried	carry	VERB
ajst-25588	60	7	out	out	ADP
ajst-25588	60	8	by	by	ADP
ajst-25588	60	9	the	the	DET
ajst-25588	60	10	method	method	NOUN
ajst-25588	60	11	of	of	ADP
ajst-25588	60	12	color	color	NOUN
ajst-25588	60	13	histogram	histogram	NOUN
ajst-25588	60	14	,	,	PUNCT
ajst-25588	60	15	color	color	NOUN
ajst-25588	60	16	aggregation	aggregation	NOUN
ajst-25588	60	17	amount	amount	NOUN
ajst-25588	60	18	,	,	PUNCT
ajst-25588	60	19	color	color	NOUN
ajst-25588	60	20	set	set	NOUN
ajst-25588	60	21	and	and	CCONJ
ajst-25588	60	22	so	so	ADV
ajst-25588	60	23	on	on	ADV
ajst-25588	60	24	.	.	PUNCT
ajst-25588	61	1	2.3.3	2.3.3	NUM
ajst-25588	61	2	.	.	PUNCT
ajst-25588	61	3	shape	shape	NOUN
ajst-25588	61	4	feature	feature	VERB
ajst-25588	61	5	the	the	DET
ajst-25588	61	6	shape	shape	NOUN
ajst-25588	61	7	of	of	ADP
ajst-25588	61	8	the	the	DET
ajst-25588	61	9	general	general	ADJ
ajst-25588	61	10	image	image	NOUN
ajst-25588	61	11	is	be	AUX
ajst-25588	61	12	composed	compose	VERB
ajst-25588	61	13	of	of	ADP
ajst-25588	61	14	points	point	NOUN
ajst-25588	61	15	,	,	PUNCT
ajst-25588	61	16	lines	line	NOUN
ajst-25588	61	17	and	and	CCONJ
ajst-25588	61	18	surfaces	surface	NOUN
ajst-25588	61	19	,	,	PUNCT
ajst-25588	61	20	and	and	CCONJ
ajst-25588	61	21	the	the	DET
ajst-25588	61	22	shape	shape	NOUN
ajst-25588	61	23	features	feature	NOUN
ajst-25588	61	24	have	have	VERB
ajst-25588	61	25	limitations	limitation	NOUN
ajst-25588	61	26	,	,	PUNCT
ajst-25588	61	27	and	and	CCONJ
ajst-25588	61	28	some	some	PRON
ajst-25588	61	29	are	be	AUX
ajst-25588	61	30	even	even	ADV
ajst-25588	61	31	one	one	NUM
ajst-25588	61	32	-	-	PUNCT
ajst-25588	61	33	sided	sided	ADJ
ajst-25588	61	34	,	,	PUNCT
ajst-25588	61	35	usually	usually	ADV
ajst-25588	61	36	used	use	VERB
ajst-25588	61	37	on	on	ADP
ajst-25588	61	38	the	the	DET
ajst-25588	61	39	edge	edge	NOUN
ajst-25588	61	40	features	feature	NOUN
ajst-25588	61	41	of	of	ADP
ajst-25588	61	42	the	the	DET
ajst-25588	61	43	image	image	NOUN
ajst-25588	61	44	,	,	PUNCT
ajst-25588	61	45	but	but	CCONJ
ajst-25588	61	46	when	when	SCONJ
ajst-25588	61	47	the	the	DET
ajst-25588	61	48	picture	picture	NOUN
ajst-25588	61	49	is	be	AUX
ajst-25588	61	50	rotated	rotate	VERB
ajst-25588	61	51	,	,	PUNCT
ajst-25588	61	52	blurred	blurred	ADJ
ajst-25588	61	53	,	,	PUNCT
ajst-25588	61	54	under	under	ADP
ajst-25588	61	55	the	the	DET
ajst-25588	61	56	action	action	NOUN
ajst-25588	61	57	of	of	ADP
ajst-25588	61	58	deformation	deformation	NOUN
ajst-25588	61	59	and	and	CCONJ
ajst-25588	61	60	other	other	ADJ
ajst-25588	61	61	factors	factor	NOUN
ajst-25588	61	62	,	,	PUNCT
ajst-25588	61	63	the	the	DET
ajst-25588	61	64	data	datum	NOUN
ajst-25588	61	65	extracted	extract	VERB
ajst-25588	61	66	from	from	ADP
ajst-25588	61	67	the	the	DET
ajst-25588	61	68	shape	shape	NOUN
ajst-25588	61	69	features	feature	NOUN
ajst-25588	61	70	will	will	AUX
ajst-25588	61	71	lose	lose	VERB
ajst-25588	61	72	reliability	reliability	NOUN
ajst-25588	61	73	and	and	CCONJ
ajst-25588	61	74	can	can	AUX
ajst-25588	61	75	not	not	PART
ajst-25588	61	76	be	be	AUX
ajst-25588	61	77	used	use	VERB
ajst-25588	61	78	in	in	ADP
ajst-25588	61	79	the	the	DET
ajst-25588	61	80	test	test	NOUN
ajst-25588	61	81	.	.	PUNCT
ajst-25588	62	1	in	in	ADP
ajst-25588	62	2	order	order	NOUN
ajst-25588	62	3	to	to	PART
ajst-25588	62	4	overcome	overcome	VERB
ajst-25588	62	5	the	the	DET
ajst-25588	62	6	above	above	ADJ
ajst-25588	62	7	shortcomings	shortcoming	NOUN
ajst-25588	62	8	,	,	PUNCT
ajst-25588	62	9	an	an	DET
ajst-25588	62	10	improved	improved	ADJ
ajst-25588	62	11	algorithm	algorithm	NOUN
ajst-25588	62	12	is	be	AUX
ajst-25588	62	13	proposed	propose	VERB
ajst-25588	62	14	to	to	PART
ajst-25588	62	15	extract	extract	VERB
ajst-25588	62	16	the	the	DET
ajst-25588	62	17	feature	feature	NOUN
ajst-25588	62	18	information	information	NOUN
ajst-25588	62	19	with	with	ADP
ajst-25588	62	20	better	well	ADJ
ajst-25588	62	21	stability	stability	NOUN
ajst-25588	62	22	and	and	CCONJ
ajst-25588	62	23	accuracy	accuracy	NOUN
ajst-25588	62	24	,	,	PUNCT
ajst-25588	62	25	so	so	SCONJ
ajst-25588	62	26	as	as	SCONJ
ajst-25588	62	27	to	to	PART
ajst-25588	62	28	obtain	obtain	VERB
ajst-25588	62	29	more	more	ADV
ajst-25588	62	30	complete	complete	ADJ
ajst-25588	62	31	and	and	CCONJ
ajst-25588	62	32	accurate	accurate	ADJ
ajst-25588	62	33	shape	shape	NOUN
ajst-25588	62	34	feature	feature	NOUN
ajst-25588	62	35	data	datum	NOUN
ajst-25588	62	36	.	.	PUNCT
ajst-25588	63	1	there	there	PRON
ajst-25588	63	2	are	be	VERB
ajst-25588	63	3	two	two	NUM
ajst-25588	63	4	types	type	NOUN
ajst-25588	63	5	of	of	ADP
ajst-25588	63	6	shape	shape	NOUN
ajst-25588	63	7	features	feature	NOUN
ajst-25588	63	8	in	in	ADP
ajst-25588	63	9	general	general	ADJ
ajst-25588	63	10	.	.	PUNCT
ajst-25588	64	1	one	one	NUM
ajst-25588	64	2	is	be	AUX
ajst-25588	64	3	the	the	DET
ajst-25588	64	4	feature	feature	NOUN
ajst-25588	64	5	of	of	ADP
ajst-25588	64	6	the	the	DET
ajst-25588	64	7	whole	whole	ADJ
ajst-25588	64	8	area	area	NOUN
ajst-25588	64	9	of	of	ADP
ajst-25588	64	10	the	the	DET
ajst-25588	64	11	image	image	NOUN
ajst-25588	64	12	,	,	PUNCT
ajst-25588	64	13	and	and	CCONJ
ajst-25588	64	14	the	the	DET
ajst-25588	64	15	other	other	ADJ
ajst-25588	64	16	is	be	AUX
ajst-25588	64	17	the	the	DET
ajst-25588	64	18	contour	contour	NOUN
ajst-25588	64	19	feature	feature	NOUN
ajst-25588	64	20	of	of	ADP
ajst-25588	64	21	the	the	DET
ajst-25588	64	22	edge	edge	NOUN
ajst-25588	64	23	area	area	NOUN
ajst-25588	64	24	of	of	ADP
ajst-25588	64	25	the	the	DET
ajst-25588	64	26	local	local	ADJ
ajst-25588	64	27	image	image	NOUN
ajst-25588	64	28	.	.	PUNCT
ajst-25588	65	1	2.3.4	2.3.4	X
ajst-25588	65	2	.	.	PUNCT
ajst-25588	65	3	spatial	spatial	ADJ
ajst-25588	65	4	relationship	relationship	NOUN
ajst-25588	65	5	feature	feature	VERB
ajst-25588	65	6	the	the	DET
ajst-25588	65	7	so	so	ADV
ajst-25588	65	8	-	-	PUNCT
ajst-25588	65	9	called	call	VERB
ajst-25588	65	10	spatial	spatial	ADJ
ajst-25588	65	11	relationship	relationship	NOUN
ajst-25588	65	12	refers	refer	VERB
ajst-25588	65	13	to	to	ADP
ajst-25588	65	14	the	the	DET
ajst-25588	65	15	three	three	NUM
ajst-25588	65	16	types	type	NOUN
ajst-25588	65	17	of	of	ADP
ajst-25588	65	18	adjacency	adjacency	NOUN
ajst-25588	65	19	and	and	CCONJ
ajst-25588	65	20	cross	cross	ADJ
ajst-25588	65	21	,	,	PUNCT
ajst-25588	65	22	overlap	overlap	NOUN
ajst-25588	65	23	or	or	CCONJ
ajst-25588	65	24	inclusion	inclusion	NOUN
ajst-25588	65	25	relations	relation	NOUN
ajst-25588	65	26	between	between	ADP
ajst-25588	65	27	the	the	DET
ajst-25588	65	28	multiple	multiple	ADJ
ajst-25588	65	29	objects	object	NOUN
ajst-25588	65	30	segmented	segment	VERB
ajst-25588	65	31	in	in	ADP
ajst-25588	65	32	the	the	DET
ajst-25588	65	33	image	image	NOUN
ajst-25588	65	34	.	.	PUNCT
ajst-25588	66	1	in	in	ADP
ajst-25588	66	2	order	order	NOUN
ajst-25588	66	3	to	to	PART
ajst-25588	66	4	overcome	overcome	VERB
ajst-25588	66	5	the	the	DET
ajst-25588	66	6	above	above	ADJ
ajst-25588	66	7	shortcomings	shortcoming	NOUN
ajst-25588	66	8	,	,	PUNCT
ajst-25588	66	9	an	an	DET
ajst-25588	66	10	improved	improved	ADJ
ajst-25588	66	11	algorithm	algorithm	NOUN
ajst-25588	66	12	is	be	AUX
ajst-25588	66	13	proposed	propose	VERB
ajst-25588	66	14	to	to	PART
ajst-25588	66	15	extract	extract	VERB
ajst-25588	66	16	the	the	DET
ajst-25588	66	17	feature	feature	NOUN
ajst-25588	66	18	information	information	NOUN
ajst-25588	66	19	with	with	ADP
ajst-25588	66	20	better	well	ADJ
ajst-25588	66	21	stability	stability	NOUN
ajst-25588	66	22	and	and	CCONJ
ajst-25588	66	23	accuracy	accuracy	NOUN
ajst-25588	66	24	,	,	PUNCT
ajst-25588	66	25	so	so	SCONJ
ajst-25588	66	26	as	as	SCONJ
ajst-25588	66	27	to	to	PART
ajst-25588	66	28	obtain	obtain	VERB
ajst-25588	66	29	more	more	ADV
ajst-25588	66	30	complete	complete	ADJ
ajst-25588	66	31	and	and	CCONJ
ajst-25588	66	32	accurate	accurate	ADJ
ajst-25588	66	33	shape	shape	NOUN
ajst-25588	66	34	feature	feature	NOUN
ajst-25588	66	35	data	datum	NOUN
ajst-25588	66	36	.	.	PUNCT
ajst-25588	67	1	generally	generally	ADV
ajst-25588	67	2	,	,	PUNCT
ajst-25588	67	3	spatial	spatial	ADJ
ajst-25588	67	4	position	position	NOUN
ajst-25588	67	5	information	information	NOUN
ajst-25588	67	6	can	can	AUX
ajst-25588	67	7	be	be	AUX
ajst-25588	67	8	divided	divide	VERB
ajst-25588	67	9	into	into	ADP
ajst-25588	67	10	relative	relative	ADJ
ajst-25588	67	11	spatial	spatial	ADJ
ajst-25588	67	12	information	information	NOUN
ajst-25588	67	13	and	and	CCONJ
ajst-25588	67	14	absolute	absolute	ADJ
ajst-25588	67	15	spatial	spatial	ADJ
ajst-25588	67	16	position	position	NOUN
ajst-25588	67	17	information	information	NOUN
ajst-25588	67	18	.	.	PUNCT
ajst-25588	68	1	3	3	X
ajst-25588	68	2	.	.	X
ajst-25588	68	3	weld	weld	NOUN
ajst-25588	68	4	marking	marking	NOUN
ajst-25588	68	5	and	and	CCONJ
ajst-25588	68	6	inspection	inspection	NOUN
ajst-25588	68	7	feature	feature	NOUN
ajst-25588	68	8	extraction	extraction	NOUN
ajst-25588	68	9	of	of	ADP
ajst-25588	68	10	welds	weld	NOUN
ajst-25588	68	11	is	be	AUX
ajst-25588	68	12	to	to	PART
ajst-25588	68	13	use	use	VERB
ajst-25588	68	14	machine	machine	NOUN
ajst-25588	68	15	vision	vision	NOUN
ajst-25588	68	16	technology	technology	PROPN
ajst-25588	68	17	to	to	PART
ajst-25588	68	18	mark	mark	VERB
ajst-25588	68	19	welds	weld	NOUN
ajst-25588	68	20	in	in	ADP
ajst-25588	68	21	the	the	DET
ajst-25588	68	22	image	image	NOUN
ajst-25588	68	23	region	region	NOUN
ajst-25588	68	24	.	.	PUNCT
ajst-25588	69	1	since	since	SCONJ
ajst-25588	69	2	welds	weld	NOUN
ajst-25588	69	3	are	be	AUX
ajst-25588	69	4	linear	linear	PROPN
ajst-25588	69	5	features	feature	NOUN
ajst-25588	69	6	,	,	PUNCT
ajst-25588	69	7	experiments	experiment	NOUN
ajst-25588	69	8	and	and	CCONJ
ajst-25588	69	9	analysis	analysis	NOUN
ajst-25588	69	10	can	can	AUX
ajst-25588	69	11	be	be	AUX
ajst-25588	69	12	carried	carry	VERB
ajst-25588	69	13	out	out	ADP
ajst-25588	69	14	by	by	ADP
ajst-25588	69	15	using	use	VERB
ajst-25588	69	16	edge	edge	NOUN
ajst-25588	69	17	extraction	extraction	NOUN
ajst-25588	69	18	algorithms	algorithm	NOUN
ajst-25588	69	19	.	.	PUNCT
ajst-25588	70	1	at	at	ADP
ajst-25588	70	2	present	present	ADJ
ajst-25588	70	3	,	,	PUNCT
ajst-25588	70	4	the	the	DET
ajst-25588	70	5	most	most	ADV
ajst-25588	70	6	widely	widely	ADV
ajst-25588	70	7	used	use	VERB
ajst-25588	70	8	edge	edge	NOUN
ajst-25588	70	9	detection	detection	NOUN
ajst-25588	70	10	methods	method	NOUN
ajst-25588	70	11	include	include	VERB
ajst-25588	70	12	sobel	sobel	NOUN
ajst-25588	70	13	,	,	PUNCT
ajst-25588	70	14	prewitt	prewitt	PROPN
ajst-25588	70	15	,	,	PUNCT
ajst-25588	70	16	roberts	roberts	PROPN
ajst-25588	70	17	,	,	PUNCT
ajst-25588	70	18	canny	canny	ADJ
ajst-25588	70	19	and	and	CCONJ
ajst-25588	70	20	other	other	ADJ
ajst-25588	70	21	operators	operator	NOUN
ajst-25588	70	22	.	.	PUNCT
ajst-25588	71	1	in	in	ADP
ajst-25588	71	2	order	order	NOUN
ajst-25588	71	3	to	to	PART
ajst-25588	71	4	correctly	correctly	ADV
ajst-25588	71	5	extract	extract	VERB
ajst-25588	71	6	useful	useful	ADJ
ajst-25588	71	7	feature	feature	NOUN
ajst-25588	71	8	data	datum	NOUN
ajst-25588	71	9	,	,	PUNCT
ajst-25588	71	10	the	the	DET
ajst-25588	71	11	above	above	ADJ
ajst-25588	71	12	four	four	NUM
ajst-25588	71	13	operators	operator	NOUN
ajst-25588	71	14	will	will	AUX
ajst-25588	71	15	be	be	AUX
ajst-25588	71	16	compared	compare	VERB
ajst-25588	71	17	and	and	CCONJ
ajst-25588	71	18	analyzed	analyze	VERB
ajst-25588	71	19	combined	combine	VERB
ajst-25588	71	20	with	with	ADP
ajst-25588	71	21	weld	weld	NOUN
ajst-25588	71	22	features	feature	NOUN
ajst-25588	71	23	.	.	PUNCT
ajst-25588	72	1	3.1	3.1	NUM
ajst-25588	72	2	.	.	PUNCT
ajst-25588	72	3	edge	edge	NOUN
ajst-25588	72	4	detection	detection	NOUN
ajst-25588	72	5	operator	operator	NOUN
ajst-25588	72	6	edge	edge	NOUN
ajst-25588	72	7	detection	detection	NOUN
ajst-25588	72	8	is	be	AUX
ajst-25588	72	9	actually	actually	ADV
ajst-25588	72	10	a	a	DET
ajst-25588	72	11	filtering	filter	VERB
ajst-25588	72	12	algorithm	algorithm	NOUN
ajst-25588	72	13	,	,	PUNCT
ajst-25588	72	14	and	and	CCONJ
ajst-25588	72	15	the	the	DET
ajst-25588	72	16	difference	difference	NOUN
ajst-25588	72	17	between	between	ADP
ajst-25588	72	18	it	it	PRON
ajst-25588	72	19	and	and	CCONJ
ajst-25588	72	20	other	other	ADJ
ajst-25588	72	21	filtering	filter	VERB
ajst-25588	72	22	algorithms	algorithm	NOUN
ajst-25588	72	23	lies	lie	VERB
ajst-25588	72	24	in	in	ADP
ajst-25588	72	25	the	the	DET
ajst-25588	72	26	selection	selection	NOUN
ajst-25588	72	27	of	of	ADP
ajst-25588	72	28	filters	filter	NOUN
ajst-25588	72	29	.	.	PUNCT
ajst-25588	73	1	the	the	DET
ajst-25588	73	2	characteristic	characteristic	NOUN
ajst-25588	73	3	of	of	ADP
ajst-25588	73	4	ordinary	ordinary	ADJ
ajst-25588	73	5	filters	filter	NOUN
ajst-25588	73	6	is	be	AUX
ajst-25588	73	7	that	that	SCONJ
ajst-25588	73	8	gaussian	gaussian	ADJ
ajst-25588	73	9	filters	filter	NOUN
ajst-25588	73	10	use	use	VERB
ajst-25588	73	11	the	the	DET
ajst-25588	73	12	normalized	normalize	VERB
ajst-25588	73	13	kernel	kernel	NOUN
ajst-25588	73	14	formed	form	VERB
ajst-25588	73	15	by	by	ADP
ajst-25588	73	16	discretized	discretized	ADJ
ajst-25588	73	17	gaussian	gaussian	ADJ
ajst-25588	73	18	functions	function	NOUN
ajst-25588	73	19	,	,	PUNCT
ajst-25588	73	20	while	while	SCONJ
ajst-25588	73	21	the	the	DET
ajst-25588	73	22	filter	filter	NOUN
ajst-25588	73	23	algorithm	algorithm	NOUN
ajst-25588	73	24	of	of	ADP
ajst-25588	73	25	edge	edge	NOUN
ajst-25588	73	26	detection	detection	NOUN
ajst-25588	73	27	generates	generate	VERB
ajst-25588	73	28	grayscale	grayscale	NOUN
ajst-25588	73	29	matrix	matrix	NOUN
ajst-25588	73	30	by	by	ADP
ajst-25588	73	31	calculating	calculate	VERB
ajst-25588	73	32	the	the	DET
ajst-25588	73	33	target	target	NOUN
ajst-25588	73	34	image	image	NOUN
ajst-25588	73	35	through	through	ADP
ajst-25588	73	36	gaussian	gaussian	ADJ
ajst-25588	73	37	kernel	kernel	NOUN
ajst-25588	73	38	.	.	PUNCT
ajst-25588	74	1	edge	edge	NOUN
ajst-25588	74	2	detection	detection	NOUN
ajst-25588	74	3	algorithm	algorithm	NOUN
ajst-25588	74	4	is	be	AUX
ajst-25588	74	5	a	a	PRON
ajst-25588	74	6	is	be	AUX
ajst-25588	74	7	edge	edge	NOUN
ajst-25588	74	8	detection	detection	NOUN
ajst-25588	74	9	technology	technology	NOUN
ajst-25588	74	10	widely	widely	ADV
ajst-25588	74	11	used	use	VERB
ajst-25588	74	12	in	in	ADP
ajst-25588	74	13	computer	computer	NOUN
ajst-25588	74	14	vision	vision	NOUN
ajst-25588	74	15	which	which	PRON
ajst-25588	74	16	can	can	AUX
ajst-25588	74	17	display	display	VERB
ajst-25588	74	18	the	the	DET
ajst-25588	74	19	small	small	ADJ
ajst-25588	74	20	structure	structure	NOUN
ajst-25588	74	21	and	and	CCONJ
ajst-25588	74	22	details	detail	NOUN
ajst-25588	74	23	on	on	ADP
ajst-25588	74	24	the	the	DET
ajst-25588	74	25	surface	surface	NOUN
ajst-25588	74	26	clearly	clearly	ADV
ajst-25588	74	27	.	.	PUNCT
ajst-25588	75	1	(	(	PUNCT
ajst-25588	75	2	1	1	X
ajst-25588	75	3	)	)	PUNCT
ajst-25588	75	4	robert	robert	NOUN
ajst-25588	75	5	operator	operator	NOUN
ajst-25588	75	6	among	among	ADP
ajst-25588	75	7	these	these	DET
ajst-25588	75	8	classical	classical	ADJ
ajst-25588	75	9	operators	operator	NOUN
ajst-25588	75	10	,	,	PUNCT
ajst-25588	75	11	edge	edge	NOUN
ajst-25588	75	12	detection	detection	NOUN
ajst-25588	75	13	operator	operator	NOUN
ajst-25588	75	14	is	be	AUX
ajst-25588	75	15	the	the	DET
ajst-25588	75	16	simplest	simple	ADJ
ajst-25588	75	17	.	.	PUNCT
ajst-25588	76	1	robert	robert	PROPN
ajst-25588	76	2	operator	operator	NOUN
ajst-25588	76	3	uses	use	VERB
ajst-25588	76	4	some	some	DET
ajst-25588	76	5	regions	region	NOUN
ajst-25588	76	6	of	of	ADP
ajst-25588	76	7	the	the	DET
ajst-25588	76	8	image	image	NOUN
ajst-25588	76	9	to	to	PART
ajst-25588	76	10	search	search	VERB
ajst-25588	76	11	edges	edge	NOUN
ajst-25588	76	12	by	by	ADP
ajst-25588	76	13	difference	difference	NOUN
ajst-25588	76	14	,	,	PUNCT
ajst-25588	76	15	and	and	CCONJ
ajst-25588	76	16	locates	locate	VERB
ajst-25588	76	17	edge	edge	NOUN
ajst-25588	76	18	positions	position	NOUN
ajst-25588	76	19	with	with	ADP
ajst-25588	76	20	greater	great	ADJ
ajst-25588	76	21	advantages	advantage	NOUN
ajst-25588	76	22	than	than	ADP
ajst-25588	76	23	other	other	ADJ
ajst-25588	76	24	operators	operator	NOUN
ajst-25588	76	25	.	.	PUNCT
ajst-25588	77	1	however	however	ADV
ajst-25588	77	2	,	,	PUNCT
ajst-25588	77	3	for	for	ADP
ajst-25588	77	4	photos	photo	NOUN
ajst-25588	77	5	with	with	ADP
ajst-25588	77	6	large	large	ADJ
ajst-25588	77	7	noise	noise	NOUN
ajst-25588	77	8	,	,	PUNCT
ajst-25588	77	9	the	the	DET
ajst-25588	77	10	effect	effect	NOUN
ajst-25588	77	11	is	be	AUX
ajst-25588	77	12	poor	poor	ADJ
ajst-25588	77	13	,	,	PUNCT
ajst-25588	77	14	and	and	CCONJ
ajst-25588	77	15	for	for	ADP
ajst-25588	77	16	target	target	NOUN
ajst-25588	77	17	images	image	NOUN
ajst-25588	77	18	,	,	PUNCT
ajst-25588	77	19	the	the	DET
ajst-25588	77	20	edge	edge	NOUN
ajst-25588	77	21	lines	line	NOUN
ajst-25588	77	22	are	be	AUX
ajst-25588	77	23	inaccurate	inaccurate	ADJ
ajst-25588	77	24	.	.	PUNCT
ajst-25588	78	1	this	this	DET
ajst-25588	78	2	algorithm	algorithm	NOUN
ajst-25588	78	3	is	be	AUX
ajst-25588	78	4	often	often	ADV
ajst-25588	78	5	used	use	VERB
ajst-25588	78	6	as	as	ADP
ajst-25588	78	7	an	an	DET
ajst-25588	78	8	image	image	NOUN
ajst-25588	78	9	with	with	ADP
ajst-25588	78	10	steep	steep	ADJ
ajst-25588	78	11	low	low	ADJ
ajst-25588	78	12	noise	noise	NOUN
ajst-25588	78	13	.	.	PUNCT
ajst-25588	79	1	the	the	DET
ajst-25588	79	2	basic	basic	ADJ
ajst-25588	79	3	image	image	NOUN
ajst-25588	79	4	is	be	AUX
ajst-25588	79	5	f	f	PROPN
ajst-25588	79	6	(	(	PUNCT
ajst-25588	79	7	x	x	PROPN
ajst-25588	79	8	,	,	PUNCT
ajst-25588	79	9	y	y	PROPN
ajst-25588	79	10	)	)	PUNCT
ajst-25588	79	11	,	,	PUNCT
ajst-25588	79	12	and	and	CCONJ
ajst-25588	79	13	127	127	NUM
ajst-25588	79	14	the	the	DET
ajst-25588	79	15	edge	edge	NOUN
ajst-25588	79	16	detection	detection	NOUN
ajst-25588	79	17	image	image	NOUN
ajst-25588	79	18	of	of	ADP
ajst-25588	79	19	robert	robert	PROPN
ajst-25588	79	20	operator	operator	NOUN
ajst-25588	79	21	is	be	AUX
ajst-25588	79	22	g	g	NOUN
ajst-25588	79	23	(	(	PUNCT
ajst-25588	79	24	x	x	X
ajst-25588	79	25	,	,	PUNCT
ajst-25588	79	26	y	y	PROPN
ajst-25588	79	27	)	)	PUNCT
ajst-25588	79	28	.	.	PUNCT
ajst-25588	80	1	the	the	DET
ajst-25588	80	2	algorithm	algorithm	NOUN
ajst-25588	80	3	3	3	NUM
ajst-25588	80	4	can	can	AUX
ajst-25588	80	5	be	be	AUX
ajst-25588	80	6	expressed	express	VERB
ajst-25588	80	7	as	as	ADP
ajst-25588	80	8	:	:	PUNCT
ajst-25588	80	9	g	g	PROPN
ajst-25588	80	10	x	x	PROPN
ajst-25588	80	11	,	,	PUNCT
ajst-25588	80	12	y	y	PROPN
ajst-25588	80	13	=	=	PRON
ajst-25588	80	14	{	{	PUNCT
ajst-25588	80	15	[	[	X
ajst-25588	80	16	f(x	f(x	PROPN
ajst-25588	80	17	,	,	PUNCT
ajst-25588	80	18	y)-f(x+1,y+1)]²+[f(x+1,y)-f(x	y)-f(x+1,y+1)]²+[f(x+1,y)-f(x	PROPN
ajst-25588	80	19	,	,	PUNCT
ajst-25588	80	20	y+1)]²}0.5	y+1)]²}0.5	PROPN
ajst-25588	80	21	(	(	PUNCT
ajst-25588	80	22	3	3	NUM
ajst-25588	80	23	)	)	PUNCT
ajst-25588	80	24	(	(	PUNCT
ajst-25588	80	25	2	2	X
ajst-25588	80	26	)	)	PUNCT
ajst-25588	80	27	prewitt	prewitt	NOUN
ajst-25588	80	28	operator	operator	NOUN
ajst-25588	80	29	compared	compare	VERB
ajst-25588	80	30	with	with	ADP
ajst-25588	80	31	robert	robert	PROPN
ajst-25588	80	32	operator	operator	PROPN
ajst-25588	80	33	,	,	PUNCT
ajst-25588	80	34	prewitt	prewitt	PROPN
ajst-25588	80	35	operator	operator	NOUN
ajst-25588	80	36	has	have	VERB
ajst-25588	80	37	stronger	strong	ADJ
ajst-25588	80	38	resistance	resistance	NOUN
ajst-25588	80	39	to	to	ADP
ajst-25588	80	40	noise	noise	NOUN
ajst-25588	80	41	and	and	CCONJ
ajst-25588	80	42	is	be	AUX
ajst-25588	80	43	less	less	ADV
ajst-25588	80	44	affected	affect	VERB
ajst-25588	80	45	by	by	ADP
ajst-25588	80	46	waves	wave	NOUN
ajst-25588	80	47	.	.	PUNCT
ajst-25588	81	1	in	in	ADP
ajst-25588	81	2	essence	essence	NOUN
ajst-25588	81	3	,	,	PUNCT
ajst-25588	81	4	it	it	PRON
ajst-25588	81	5	is	be	AUX
ajst-25588	81	6	a	a	DET
ajst-25588	81	7	differential	differential	ADJ
ajst-25588	81	8	operator	operator	NOUN
ajst-25588	81	9	,	,	PUNCT
ajst-25588	81	10	that	that	ADV
ajst-25588	81	11	is	is	ADV
ajst-25588	81	12	,	,	PUNCT
ajst-25588	81	13	the	the	DET
ajst-25588	81	14	gray	gray	ADJ
ajst-25588	81	15	-	-	PUNCT
ajst-25588	81	16	scale	scale	NOUN
ajst-25588	81	17	of	of	ADP
ajst-25588	81	18	pixels	pixel	NOUN
ajst-25588	81	19	in	in	ADP
ajst-25588	81	20	the	the	DET
ajst-25588	81	21	image	image	NOUN
ajst-25588	81	22	in	in	ADP
ajst-25588	81	23	the	the	DET
ajst-25588	81	24	region	region	NOUN
ajst-25588	81	25	is	be	AUX
ajst-25588	81	26	used	use	VERB
ajst-25588	81	27	for	for	ADP
ajst-25588	81	28	differentiation	differentiation	NOUN
ajst-25588	81	29	.	.	PUNCT
ajst-25588	82	1	therefore	therefore	ADV
ajst-25588	82	2	,	,	PUNCT
ajst-25588	82	3	prewitt	prewitt	PROPN
ajst-25588	82	4	operator	operator	NOUN
ajst-25588	82	5	is	be	AUX
ajst-25588	82	6	more	more	ADV
ajst-25588	82	7	suitable	suitable	ADJ
ajst-25588	82	8	for	for	ADP
ajst-25588	82	9	images	image	NOUN
ajst-25588	82	10	with	with	ADP
ajst-25588	82	11	high	high	ADJ
ajst-25588	82	12	noise	noise	NOUN
ajst-25588	82	13	waves	wave	NOUN
ajst-25588	82	14	.	.	PUNCT
ajst-25588	83	1	suppose	suppose	VERB
ajst-25588	83	2	the	the	DET
ajst-25588	83	3	basic	basic	ADJ
ajst-25588	83	4	image	image	NOUN
ajst-25588	83	5	representation	representation	NOUN
ajst-25588	83	6	function	function	NOUN
ajst-25588	83	7	is	be	AUX
ajst-25588	83	8	f	f	PROPN
ajst-25588	83	9	(	(	PUNCT
ajst-25588	83	10	x	x	PROPN
ajst-25588	83	11	,	,	PUNCT
ajst-25588	83	12	y	y	PROPN
ajst-25588	83	13	)	)	PUNCT
ajst-25588	83	14	,	,	PUNCT
ajst-25588	83	15	and	and	CCONJ
ajst-25588	83	16	the	the	DET
ajst-25588	83	17	pixel	pixel	NOUN
ajst-25588	83	18	at	at	ADP
ajst-25588	83	19	a	a	DET
ajst-25588	83	20	certain	certain	ADJ
ajst-25588	83	21	point	point	NOUN
ajst-25588	83	22	in	in	ADP
ajst-25588	83	23	the	the	DET
ajst-25588	83	24	image	image	NOUN
ajst-25588	83	25	is	be	AUX
ajst-25588	83	26	represented	represent	VERB
ajst-25588	83	27	by	by	ADP
ajst-25588	83	28	(	(	PUNCT
ajst-25588	83	29	i	i	PROPN
ajst-25588	83	30	,	,	PUNCT
ajst-25588	83	31	j	j	PROPN
ajst-25588	83	32	)	)	PUNCT
ajst-25588	83	33	.	.	PUNCT
ajst-25588	84	1	the	the	DET
ajst-25588	84	2	horizontal	horizontal	ADJ
ajst-25588	84	3	difference	difference	NOUN
ajst-25588	84	4	(	(	PUNCT
ajst-25588	84	5	)	)	PUNCT
ajst-25588	84	6	and	and	CCONJ
ajst-25588	84	7	vertical	vertical	ADJ
ajst-25588	84	8	difference	difference	NOUN
ajst-25588	84	9	(	(	PUNCT
ajst-25588	84	10	j	j	NOUN
ajst-25588	84	11	):	):	PUNCT
ajst-25588	84	12	g(i)=|[f(i-1,j-1)+f(i-1,j)+f(i-1	g(i)=|[f(i-1,j-1)+f(i-1,j)+f(i-1	PROPN
ajst-25588	84	13	,	,	PUNCT
ajst-25588	84	14	j+1)]-[f(i+1,j-1)+f(i+1	j+1)]-[f(i+1,j-1)+f(i+1	NOUN
ajst-25588	84	15	,	,	PUNCT
ajst-25588	84	16	j)+f(i+1	j)+f(i+1	ADV
ajst-25588	84	17	,	,	PUNCT
ajst-25588	84	18	j+1)]|	j+1)]|	X
ajst-25588	84	19	(	(	PUNCT
ajst-25588	84	20	4	4	NUM
ajst-25588	84	21	)	)	PUNCT
ajst-25588	84	22	g(j)=|[f(i-1,j+1)+f(i	g(j)=|[f(i-1,j+1)+f(i	ADJ
ajst-25588	84	23	,	,	PUNCT
ajst-25588	84	24	j+1)+f(i+1	j+1)+f(i+1	PROPN
ajst-25588	84	25	,	,	PUNCT
ajst-25588	84	26	j+1)]-[f(i-1,j-1)+f(i	j+1)]-[f(i-1,j-1)+f(i	PROPN
ajst-25588	84	27	,	,	PUNCT
ajst-25588	84	28	j1)+f(i+1	j1)+f(i+1	PROPN
ajst-25588	84	29	,	,	PUNCT
ajst-25588	84	30	j-1)]|	j-1)]|	PROPN
ajst-25588	84	31	(	(	PUNCT
ajst-25588	84	32	5	5	NUM
ajst-25588	84	33	)	)	PUNCT
ajst-25588	84	34	by	by	ADP
ajst-25588	84	35	formula	formula	NOUN
ajst-25588	84	36	6	6	NUM
ajst-25588	84	37	:	:	PUNCT
ajst-25588	84	38	p(i	p(i	NOUN
ajst-25588	84	39	,	,	PUNCT
ajst-25588	84	40	j)=max[g(i),g(j	j)=max[g(i),g(j	ADJ
ajst-25588	84	41	)	)	PUNCT
ajst-25588	84	42	]	]	PUNCT
ajst-25588	84	43	(	(	PUNCT
ajst-25588	84	44	6	6	NUM
ajst-25588	84	45	)	)	PUNCT
ajst-25588	84	46	or	or	CCONJ
ajst-25588	84	47	formula	formula	VERB
ajst-25588	84	48	7	7	NUM
ajst-25588	84	49	:	:	PUNCT
ajst-25588	84	50	p(i	p(i	PROPN
ajst-25588	84	51	,	,	PUNCT
ajst-25588	84	52	j)=g(i)+g(j	j)=g(i)+g(j	PROPN
ajst-25588	84	53	)	)	PUNCT
ajst-25588	84	54	(	(	PUNCT
ajst-25588	84	55	7	7	X
ajst-25588	84	56	)	)	PUNCT
ajst-25588	84	57	the	the	DET
ajst-25588	84	58	gradient	gradient	ADJ
ajst-25588	84	59	amplitude	amplitude	NOUN
ajst-25588	84	60	p(i	p(i	PROPN
ajst-25588	84	61	,	,	PUNCT
ajst-25588	84	62	j	j	NOUN
ajst-25588	84	63	)	)	PUNCT
ajst-25588	84	64	of	of	ADP
ajst-25588	84	65	pixel	pixel	PROPN
ajst-25588	84	66	point	point	NOUN
ajst-25588	84	67	(	(	PUNCT
ajst-25588	84	68	i	i	PROPN
ajst-25588	84	69	,	,	PUNCT
ajst-25588	84	70	j	j	PROPN
ajst-25588	84	71	)	)	PUNCT
ajst-25588	84	72	is	be	AUX
ajst-25588	84	73	calculated	calculate	VERB
ajst-25588	84	74	.	.	PUNCT
ajst-25588	85	1	by	by	ADP
ajst-25588	85	2	setting	set	VERB
ajst-25588	85	3	threshold	threshold	NOUN
ajst-25588	85	4	t0	t0	PROPN
ajst-25588	85	5	,	,	PUNCT
ajst-25588	85	6	when	when	SCONJ
ajst-25588	85	7	p(i	p(i	PROPN
ajst-25588	85	8	,	,	PUNCT
ajst-25588	85	9	j	j	NOUN
ajst-25588	85	10	)	)	PUNCT
ajst-25588	85	11	is	be	AUX
ajst-25588	85	12	less	less	ADJ
ajst-25588	85	13	than	than	ADP
ajst-25588	85	14	t0	t0	PROPN
ajst-25588	85	15	,	,	PUNCT
ajst-25588	85	16	it	it	PRON
ajst-25588	85	17	can	can	AUX
ajst-25588	85	18	be	be	AUX
ajst-25588	85	19	judged	judge	VERB
ajst-25588	85	20	as	as	ADP
ajst-25588	85	21	contour	contour	NOUN
ajst-25588	85	22	edge	edge	NOUN
ajst-25588	85	23	,	,	PUNCT
ajst-25588	85	24	and	and	CCONJ
ajst-25588	85	25	the	the	DET
ajst-25588	85	26	contour	contour	NOUN
ajst-25588	85	27	feature	feature	NOUN
ajst-25588	85	28	is	be	AUX
ajst-25588	85	29	marked	mark	VERB
ajst-25588	85	30	.	.	PUNCT
ajst-25588	86	1	(	(	PUNCT
ajst-25588	86	2	3	3	X
ajst-25588	86	3	)	)	PUNCT
ajst-25588	86	4	sobel	sobel	NOUN
ajst-25588	86	5	operator	operator	NOUN
ajst-25588	86	6	sobel	sobel	NOUN
ajst-25588	86	7	operator	operator	NOUN
ajst-25588	86	8	belongs	belong	VERB
ajst-25588	86	9	to	to	ADP
ajst-25588	86	10	a	a	DET
ajst-25588	86	11	class	class	NOUN
ajst-25588	86	12	of	of	ADP
ajst-25588	86	13	discrete	discrete	ADJ
ajst-25588	86	14	differentiation	differentiation	NOUN
ajst-25588	86	15	,	,	PUNCT
ajst-25588	86	16	it	it	PRON
ajst-25588	86	17	is	be	AUX
ajst-25588	86	18	a	a	DET
ajst-25588	86	19	combination	combination	NOUN
ajst-25588	86	20	of	of	ADP
ajst-25588	86	21	gaussian	gaussian	ADJ
ajst-25588	86	22	smoothing	smoothing	NOUN
ajst-25588	86	23	and	and	CCONJ
ajst-25588	86	24	differential	differential	ADJ
ajst-25588	86	25	derivation	derivation	NOUN
ajst-25588	86	26	,	,	PUNCT
ajst-25588	86	27	usually	usually	ADV
ajst-25588	86	28	used	use	VERB
ajst-25588	86	29	to	to	PART
ajst-25588	86	30	approximate	approximate	VERB
ajst-25588	86	31	the	the	DET
ajst-25588	86	32	calculation	calculation	NOUN
ajst-25588	86	33	of	of	ADP
ajst-25588	86	34	image	image	NOUN
ajst-25588	86	35	brightness	brightness	NOUN
ajst-25588	86	36	,	,	PUNCT
ajst-25588	86	37	according	accord	VERB
ajst-25588	86	38	to	to	ADP
ajst-25588	86	39	the	the	DET
ajst-25588	86	40	target	target	NOUN
ajst-25588	86	41	image	image	NOUN
ajst-25588	86	42	edge	edge	NOUN
ajst-25588	86	43	processing	processing	NOUN
ajst-25588	86	44	of	of	ADP
ajst-25588	86	45	the	the	DET
ajst-25588	86	46	region	region	NOUN
ajst-25588	86	47	,	,	PUNCT
ajst-25588	86	48	the	the	DET
ajst-25588	86	49	region	region	NOUN
ajst-25588	86	50	of	of	ADP
ajst-25588	86	51	a	a	DET
ajst-25588	86	52	brightness	brightness	NOUN
ajst-25588	86	53	greater	great	ADJ
ajst-25588	86	54	than	than	ADP
ajst-25588	86	55	a	a	DET
ajst-25588	86	56	certain	certain	ADJ
ajst-25588	86	57	threshold	threshold	NOUN
ajst-25588	86	58	value	value	NOUN
ajst-25588	86	59	of	of	ADP
ajst-25588	86	60	the	the	DET
ajst-25588	86	61	special	special	ADJ
ajst-25588	86	62	point	point	NOUN
ajst-25588	86	63	marked	mark	VERB
ajst-25588	86	64	.	.	PUNCT
ajst-25588	87	1	the	the	DET
ajst-25588	87	2	edge	edge	NOUN
ajst-25588	87	3	detection	detection	NOUN
ajst-25588	87	4	technology	technology	NOUN
ajst-25588	87	5	is	be	AUX
ajst-25588	87	6	widely	widely	ADV
ajst-25588	87	7	used	use	VERB
ajst-25588	87	8	in	in	ADP
ajst-25588	87	9	computer	computer	NOUN
ajst-25588	87	10	vision	vision	NOUN
ajst-25588	87	11	,	,	PUNCT
ajst-25588	87	12	which	which	PRON
ajst-25588	87	13	can	can	AUX
ajst-25588	87	14	clearly	clearly	ADV
ajst-25588	87	15	show	show	VERB
ajst-25588	87	16	the	the	DET
ajst-25588	87	17	tiny	tiny	ADJ
ajst-25588	87	18	structures	structure	NOUN
ajst-25588	87	19	and	and	CCONJ
ajst-25588	87	20	details	detail	NOUN
ajst-25588	87	21	existing	exist	VERB
ajst-25588	87	22	on	on	ADP
ajst-25588	87	23	the	the	DET
ajst-25588	87	24	surface	surface	NOUN
ajst-25588	87	25	of	of	ADP
ajst-25588	87	26	objects	object	NOUN
ajst-25588	87	27	.	.	PUNCT
ajst-25588	88	1	when	when	SCONJ
ajst-25588	88	2	detecting	detect	VERB
ajst-25588	88	3	edges	edge	NOUN
ajst-25588	88	4	,	,	PUNCT
ajst-25588	88	5	sobel	sobel	NOUN
ajst-25588	88	6	operator	operator	NOUN
ajst-25588	88	7	uses	use	VERB
ajst-25588	88	8	the	the	DET
ajst-25588	88	9	gradient	gradient	NOUN
ajst-25588	88	10	ᐁf	ᐁf	VERB
ajst-25588	88	11	to	to	PART
ajst-25588	88	12	represent	represent	VERB
ajst-25588	88	13	the	the	DET
ajst-25588	88	14	probability	probability	NOUN
ajst-25588	88	15	and	and	CCONJ
ajst-25588	88	16	direction	direction	NOUN
ajst-25588	88	17	of	of	ADP
ajst-25588	88	18	the	the	DET
ajst-25588	88	19	edge	edge	NOUN
ajst-25588	88	20	of	of	ADP
ajst-25588	88	21	an	an	DET
ajst-25588	88	22	image	image	NOUN
ajst-25588	88	23	f	f	NOUN
ajst-25588	88	24	at	at	ADP
ajst-25588	88	25	the	the	DET
ajst-25588	88	26	position	position	NOUN
ajst-25588	88	27	of	of	ADP
ajst-25588	88	28	pixel	pixel	NOUN
ajst-25588	88	29	(	(	PUNCT
ajst-25588	88	30	x	x	X
ajst-25588	88	31	,	,	PUNCT
ajst-25588	88	32	y	y	PROPN
ajst-25588	88	33	)	)	PUNCT
ajst-25588	88	34	:	:	PUNCT
ajst-25588	88	35	ᐁ	ᐁ	DET
ajst-25588	88	36	grad	grad	NOUN
ajst-25588	88	37	g	g	PROPN
ajst-25588	88	38	g	g	PROPN
ajst-25588	88	39	(	(	PUNCT
ajst-25588	88	40	8)	8)	NUM
ajst-25588	88	41	(	(	PUNCT
ajst-25588	88	42	4)canny	4)canny	NUM
ajst-25588	88	43	operator	operator	NOUN
ajst-25588	88	44	canny	canny	ADJ
ajst-25588	88	45	operator	operator	NOUN
ajst-25588	88	46	is	be	AUX
ajst-25588	88	47	a	a	DET
ajst-25588	88	48	multi	multi	ADJ
ajst-25588	88	49	-	-	ADJ
ajst-25588	88	50	level	level	ADJ
ajst-25588	88	51	detection	detection	NOUN
ajst-25588	88	52	algorithm	algorithm	NOUN
ajst-25588	88	53	.	.	PUNCT
ajst-25588	89	1	compared	compare	VERB
ajst-25588	89	2	with	with	ADP
ajst-25588	89	3	other	other	ADJ
ajst-25588	89	4	basic	basic	ADJ
ajst-25588	89	5	edge	edge	NOUN
ajst-25588	89	6	detection	detection	NOUN
ajst-25588	89	7	operators	operator	NOUN
ajst-25588	89	8	,	,	PUNCT
ajst-25588	89	9	it	it	PRON
ajst-25588	89	10	is	be	AUX
ajst-25588	89	11	one	one	NUM
ajst-25588	89	12	of	of	ADP
ajst-25588	89	13	the	the	DET
ajst-25588	89	14	most	most	ADV
ajst-25588	89	15	advanced	advanced	ADJ
ajst-25588	89	16	edge	edge	NOUN
ajst-25588	89	17	detection	detection	NOUN
ajst-25588	89	18	operators	operator	NOUN
ajst-25588	89	19	at	at	ADP
ajst-25588	89	20	present	present	ADJ
ajst-25588	89	21	.	.	PUNCT
ajst-25588	90	1	the	the	DET
ajst-25588	90	2	main	main	ADJ
ajst-25588	90	3	optimal	optimal	ADJ
ajst-25588	90	4	edge	edge	NOUN
ajst-25588	90	5	is	be	AUX
ajst-25588	90	6	defined	define	VERB
ajst-25588	90	7	as	as	ADP
ajst-25588	90	8	the	the	DET
ajst-25588	90	9	number	number	NOUN
ajst-25588	90	10	of	of	ADP
ajst-25588	90	11	marks	mark	NOUN
ajst-25588	90	12	that	that	PRON
ajst-25588	90	13	the	the	DET
ajst-25588	90	14	algorithm	algorithm	NOUN
ajst-25588	90	15	can	can	AUX
ajst-25588	90	16	mark	mark	VERB
ajst-25588	90	17	the	the	DET
ajst-25588	90	18	edge	edge	NOUN
ajst-25588	90	19	of	of	ADP
ajst-25588	90	20	the	the	DET
ajst-25588	90	21	target	target	NOUN
ajst-25588	90	22	image	image	NOUN
ajst-25588	90	23	more	more	ADJ
ajst-25588	90	24	times	time	NOUN
ajst-25588	90	25	,	,	PUNCT
ajst-25588	90	26	and	and	CCONJ
ajst-25588	90	27	the	the	DET
ajst-25588	90	28	marked	mark	VERB
ajst-25588	90	29	edge	edge	NOUN
ajst-25588	90	30	can	can	AUX
ajst-25588	90	31	be	be	AUX
ajst-25588	90	32	closer	close	ADJ
ajst-25588	90	33	to	to	ADP
ajst-25588	90	34	the	the	DET
ajst-25588	90	35	edge	edge	NOUN
ajst-25588	90	36	in	in	ADP
ajst-25588	90	37	the	the	DET
ajst-25588	90	38	actual	actual	ADJ
ajst-25588	90	39	image	image	NOUN
ajst-25588	90	40	.	.	PUNCT
ajst-25588	91	1	while	while	SCONJ
ajst-25588	91	2	using	use	VERB
ajst-25588	91	3	canny	canny	ADJ
ajst-25588	91	4	operator	operator	NOUN
ajst-25588	91	5	for	for	ADP
ajst-25588	91	6	edge	edge	NOUN
ajst-25588	91	7	detection	detection	NOUN
ajst-25588	91	8	,	,	PUNCT
ajst-25588	91	9	firstly	firstly	ADV
ajst-25588	91	10	,	,	PUNCT
ajst-25588	91	11	the	the	DET
ajst-25588	91	12	noise	noise	NOUN
ajst-25588	91	13	interference	interference	NOUN
ajst-25588	91	14	in	in	ADP
ajst-25588	91	15	the	the	DET
ajst-25588	91	16	target	target	NOUN
ajst-25588	91	17	image	image	NOUN
ajst-25588	91	18	should	should	AUX
ajst-25588	91	19	be	be	AUX
ajst-25588	91	20	eliminated	eliminate	VERB
ajst-25588	91	21	by	by	ADP
ajst-25588	91	22	gaussian	gaussian	ADJ
ajst-25588	91	23	filtering	filtering	NOUN
ajst-25588	91	24	,	,	PUNCT
ajst-25588	91	25	and	and	CCONJ
ajst-25588	91	26	then	then	ADV
ajst-25588	91	27	the	the	DET
ajst-25588	91	28	target	target	NOUN
ajst-25588	91	29	image	image	NOUN
ajst-25588	91	30	should	should	AUX
ajst-25588	91	31	be	be	AUX
ajst-25588	91	32	processed	process	VERB
ajst-25588	91	33	gradiently	gradiently	ADV
ajst-25588	91	34	,	,	PUNCT
ajst-25588	91	35	and	and	CCONJ
ajst-25588	91	36	then	then	ADV
ajst-25588	91	37	the	the	DET
ajst-25588	91	38	non	non	ADJ
ajst-25588	91	39	-	-	ADJ
ajst-25588	91	40	maximum	maximum	ADJ
ajst-25588	91	41	value	value	NOUN
ajst-25588	91	42	of	of	ADP
ajst-25588	91	43	the	the	DET
ajst-25588	91	44	gradient	gradient	ADJ
ajst-25588	91	45	image	image	NOUN
ajst-25588	91	46	should	should	AUX
ajst-25588	91	47	be	be	AUX
ajst-25588	91	48	suppressed	suppress	VERB
ajst-25588	91	49	.	.	PUNCT
ajst-25588	92	1	due	due	ADP
ajst-25588	92	2	to	to	ADP
ajst-25588	92	3	the	the	DET
ajst-25588	92	4	edge	edge	NOUN
ajst-25588	92	5	interference	interference	NOUN
ajst-25588	92	6	in	in	ADP
ajst-25588	92	7	the	the	DET
ajst-25588	92	8	gradient	gradient	NOUN
ajst-25588	92	9	image	image	NOUN
ajst-25588	92	10	,	,	PUNCT
ajst-25588	92	11	the	the	DET
ajst-25588	92	12	maximum	maximum	ADJ
ajst-25588	92	13	value	value	NOUN
ajst-25588	92	14	of	of	ADP
ajst-25588	92	15	the	the	DET
ajst-25588	92	16	pixel	pixel	NOUN
ajst-25588	92	17	in	in	ADP
ajst-25588	92	18	the	the	DET
ajst-25588	92	19	target	target	NOUN
ajst-25588	92	20	area	area	NOUN
ajst-25588	92	21	should	should	AUX
ajst-25588	92	22	be	be	AUX
ajst-25588	92	23	searched	search	VERB
ajst-25588	92	24	by	by	ADP
ajst-25588	92	25	non	non	ADJ
ajst-25588	92	26	-	-	ADJ
ajst-25588	92	27	maximum	maximum	ADJ
ajst-25588	92	28	suppression	suppression	NOUN
ajst-25588	92	29	method	method	NOUN
ajst-25588	92	30	.	.	PUNCT
ajst-25588	93	1	finally	finally	ADV
ajst-25588	93	2	,	,	PUNCT
ajst-25588	93	3	to	to	PART
ajst-25588	93	4	achieve	achieve	VERB
ajst-25588	93	5	the	the	DET
ajst-25588	93	6	goal	goal	NOUN
ajst-25588	93	7	,	,	PUNCT
ajst-25588	93	8	the	the	DET
ajst-25588	93	9	method	method	NOUN
ajst-25588	93	10	of	of	ADP
ajst-25588	93	11	double	double	ADJ
ajst-25588	93	12	threshold	threshold	NOUN
ajst-25588	93	13	edge	edge	NOUN
ajst-25588	93	14	connection	connection	NOUN
ajst-25588	93	15	is	be	AUX
ajst-25588	93	16	adopted	adopt	VERB
ajst-25588	93	17	,	,	PUNCT
ajst-25588	93	18	and	and	CCONJ
ajst-25588	93	19	the	the	DET
ajst-25588	93	20	existence	existence	NOUN
ajst-25588	93	21	of	of	ADP
ajst-25588	93	22	false	false	ADJ
ajst-25588	93	23	edge	edge	NOUN
ajst-25588	93	24	is	be	AUX
ajst-25588	93	25	further	far	ADV
ajst-25588	93	26	tested	test	VERB
ajst-25588	93	27	.	.	PUNCT
ajst-25588	94	1	that	that	PRON
ajst-25588	94	2	is	be	AUX
ajst-25588	94	3	,	,	PUNCT
ajst-25588	94	4	the	the	DET
ajst-25588	94	5	singlechannel	singlechannel	NOUN
ajst-25588	94	6	gray	gray	ADJ
ajst-25588	94	7	image	image	NOUN
ajst-25588	94	8	is	be	AUX
ajst-25588	94	9	filtered	filter	VERB
ajst-25588	94	10	and	and	CCONJ
ajst-25588	94	11	denoised	denoise	VERB
ajst-25588	94	12	,	,	PUNCT
ajst-25588	94	13	and	and	CCONJ
ajst-25588	94	14	then	then	ADV
ajst-25588	94	15	the	the	DET
ajst-25588	94	16	amplitude	amplitude	NOUN
ajst-25588	94	17	of	of	ADP
ajst-25588	94	18	the	the	DET
ajst-25588	94	19	image	image	NOUN
ajst-25588	94	20	gradient	gradient	NOUN
ajst-25588	94	21	(	(	PUNCT
ajst-25588	94	22	x	x	X
ajst-25588	94	23	,	,	PUNCT
ajst-25588	94	24	y	y	PROPN
ajst-25588	94	25	and	and	CCONJ
ajst-25588	94	26	direction	direction	NOUN
ajst-25588	94	27	angle	angle	NOUN
ajst-25588	94	28	θ	θ	PROPN
ajst-25588	94	29	)	)	PUNCT
ajst-25588	94	30	is	be	AUX
ajst-25588	94	31	calculated	calculate	VERB
ajst-25588	94	32	,	,	PUNCT
ajst-25588	94	33	and	and	CCONJ
ajst-25588	94	34	the	the	DET
ajst-25588	94	35	image	image	NOUN
ajst-25588	94	36	edge	edge	NOUN
ajst-25588	94	37	is	be	AUX
ajst-25588	94	38	finally	finally	ADV
ajst-25588	94	39	determined	determine	VERB
ajst-25588	94	40	by	by	ADP
ajst-25588	94	41	the	the	DET
ajst-25588	94	42	double	double	ADJ
ajst-25588	94	43	threshold	threshold	NOUN
ajst-25588	94	44	.	.	PUNCT
ajst-25588	95	1	(	(	PUNCT
ajst-25588	95	2	x	x	X
ajst-25588	95	3	,	,	PUNCT
ajst-25588	95	4	y=	y=	PROPN
ajst-25588	95	5	(	(	PUNCT
ajst-25588	95	6	9	9	NUM
ajst-25588	95	7	)	)	PUNCT
ajst-25588	95	8	θ	θ	NOUN
ajst-25588	95	9	=	=	SYM
ajst-25588	95	10	arctan	arctan	PROPN
ajst-25588	95	11	(	(	PUNCT
ajst-25588	95	12	)	)	PUNCT
ajst-25588	95	13	(	(	PUNCT
ajst-25588	95	14	10	10	NUM
ajst-25588	95	15	)	)	PUNCT
ajst-25588	95	16	in	in	ADP
ajst-25588	95	17	the	the	DET
ajst-25588	95	18	formula	formula	NOUN
ajst-25588	95	19	,	,	PUNCT
ajst-25588	95	20	the	the	DET
ajst-25588	95	21	gradient	gradient	NOUN
ajst-25588	95	22	amplitudes	amplitude	NOUN
ajst-25588	95	23	in	in	ADP
ajst-25588	95	24	the	the	DET
ajst-25588	95	25	horizontal	horizontal	ADJ
ajst-25588	95	26	and	and	CCONJ
ajst-25588	95	27	vertical	vertical	ADJ
ajst-25588	95	28	directions	direction	NOUN
ajst-25588	95	29	of	of	ADP
ajst-25588	95	30	the	the	DET
ajst-25588	95	31	image	image	NOUN
ajst-25588	95	32	are	be	AUX
ajst-25588	95	33	respectively	respectively	ADV
ajst-25588	95	34	represented	represent	VERB
ajst-25588	95	35	.	.	PUNCT
ajst-25588	96	1	3.2	3.2	NUM
ajst-25588	96	2	.	.	PUNCT
ajst-25588	96	3	comparison	comparison	NOUN
ajst-25588	96	4	and	and	CCONJ
ajst-25588	96	5	analysis	analysis	NOUN
ajst-25588	96	6	of	of	ADP
ajst-25588	96	7	experimental	experimental	ADJ
ajst-25588	96	8	results	result	NOUN
ajst-25588	96	9	3.2.1	3.2.1	NUM
ajst-25588	96	10	.	.	PUNCT
ajst-25588	97	1	experimental	experimental	ADJ
ajst-25588	97	2	raw	raw	ADJ
ajst-25588	97	3	data	datum	NOUN
ajst-25588	97	4	as	as	SCONJ
ajst-25588	97	5	shown	show	VERB
ajst-25588	97	6	in	in	ADP
ajst-25588	97	7	the	the	DET
ajst-25588	97	8	following	follow	VERB
ajst-25588	97	9	figure	figure	NOUN
ajst-25588	97	10	2	2	NUM
ajst-25588	97	11	,	,	PUNCT
ajst-25588	97	12	the	the	DET
ajst-25588	97	13	research	research	NOUN
ajst-25588	97	14	objects	object	NOUN
ajst-25588	97	15	of	of	ADP
ajst-25588	97	16	weld	weld	NOUN
ajst-25588	97	17	marks	mark	NOUN
ajst-25588	97	18	are	be	AUX
ajst-25588	97	19	:	:	PUNCT
ajst-25588	97	20	figure	figure	NOUN
ajst-25588	97	21	2	2	NUM
ajst-25588	97	22	.	.	PUNCT
ajst-25588	98	1	the	the	DET
ajst-25588	98	2	research	research	NOUN
ajst-25588	98	3	objects	object	NOUN
ajst-25588	98	4	of	of	ADP
ajst-25588	98	5	weld	weld	NOUN
ajst-25588	98	6	marks	mark	NOUN
ajst-25588	98	7	3.2.2	3.2.2	NUM
ajst-25588	98	8	.	.	PUNCT
ajst-25588	99	1	experimental	experimental	ADJ
ajst-25588	99	2	analysis	analysis	NOUN
ajst-25588	99	3	for	for	ADP
ajst-25588	99	4	edge	edge	NOUN
ajst-25588	99	5	processing	processing	NOUN
ajst-25588	99	6	in	in	ADP
ajst-25588	99	7	3.2	3.2	NUM
ajst-25588	99	8	(	(	PUNCT
ajst-25588	99	9	a	a	NOUN
ajst-25588	99	10	)	)	PUNCT
ajst-25588	99	11	,	,	PUNCT
ajst-25588	99	12	canny	canny	ADJ
ajst-25588	99	13	operator	operator	NOUN
ajst-25588	99	14	has	have	VERB
ajst-25588	99	15	the	the	DET
ajst-25588	99	16	clearest	clear	ADJ
ajst-25588	99	17	detection	detection	NOUN
ajst-25588	99	18	,	,	PUNCT
ajst-25588	99	19	while	while	SCONJ
ajst-25588	99	20	prewitt	prewitt	PROPN
ajst-25588	99	21	and	and	CCONJ
ajst-25588	99	22	roberts	roberts	PROPN
ajst-25588	99	23	operators	operator	NOUN
ajst-25588	99	24	are	be	AUX
ajst-25588	99	25	affected	affect	VERB
ajst-25588	99	26	by	by	ADP
ajst-25588	99	27	image	image	NOUN
ajst-25588	99	28	noise	noise	NOUN
ajst-25588	99	29	.	.	PUNCT
ajst-25588	100	1	although	although	SCONJ
ajst-25588	100	2	prewitt	prewitt	PROPN
ajst-25588	100	3	operator	operator	NOUN
ajst-25588	100	4	is	be	AUX
ajst-25588	100	5	interfered	interfere	VERB
ajst-25588	100	6	with	with	ADP
ajst-25588	100	7	,	,	PUNCT
ajst-25588	100	8	it	it	PRON
ajst-25588	100	9	obviously	obviously	ADV
ajst-25588	100	10	has	have	VERB
ajst-25588	100	11	some	some	DET
ajst-25588	100	12	resistance	resistance	NOUN
ajst-25588	100	13	,	,	PUNCT
ajst-25588	100	14	and	and	CCONJ
ajst-25588	100	15	roberts	roberts	PROPN
ajst-25588	100	16	operator	operator	NOUN
ajst-25588	100	17	is	be	AUX
ajst-25588	100	18	the	the	DET
ajst-25588	100	19	most	most	ADV
ajst-25588	100	20	interfered	interfere	VERB
ajst-25588	100	21	with	with	ADP
ajst-25588	100	22	,	,	PUNCT
ajst-25588	100	23	which	which	PRON
ajst-25588	100	24	seriously	seriously	ADV
ajst-25588	100	25	affects	affect	VERB
ajst-25588	100	26	weld	weld	NOUN
ajst-25588	100	27	marks	mark	NOUN
ajst-25588	100	28	.	.	PUNCT
ajst-25588	101	1	however	however	ADV
ajst-25588	101	2	,	,	PUNCT
ajst-25588	101	3	among	among	ADP
ajst-25588	101	4	these	these	DET
ajst-25588	101	5	operators	operator	NOUN
ajst-25588	101	6	,	,	PUNCT
ajst-25588	101	7	sobel	sobel	NOUN
ajst-25588	101	8	operator	operator	NOUN
ajst-25588	101	9	is	be	AUX
ajst-25588	101	10	the	the	DET
ajst-25588	101	11	most	most	ADV
ajst-25588	101	12	accurate	accurate	ADJ
ajst-25588	101	13	in	in	ADP
ajst-25588	101	14	detecting	detect	VERB
ajst-25588	101	15	regional	regional	ADJ
ajst-25588	101	16	edge	edge	NOUN
ajst-25588	101	17	markers	marker	NOUN
ajst-25588	101	18	and	and	CCONJ
ajst-25588	101	19	the	the	DET
ajst-25588	101	20	least	least	ADV
ajst-25588	101	21	affected	affect	VERB
ajst-25588	101	22	by	by	ADP
ajst-25588	101	23	interference	interference	NOUN
ajst-25588	101	24	factors	factor	NOUN
ajst-25588	101	25	.	.	PUNCT
ajst-25588	102	1	figure	figure	VERB
ajst-25588	102	2	3	3	NUM
ajst-25588	102	3	.	.	PUNCT
ajst-25588	103	1	the	the	DET
ajst-25588	103	2	detection	detection	NOUN
ajst-25588	103	3	effect	effect	NOUN
ajst-25588	103	4	of	of	ADP
ajst-25588	103	5	operators	operator	NOUN
ajst-25588	103	6	figure	figure	VERB
ajst-25588	103	7	4	4	NUM
ajst-25588	103	8	.	.	PUNCT
ajst-25588	103	9	operator	operator	NOUN
ajst-25588	103	10	detection	detection	NOUN
ajst-25588	103	11	is	be	AUX
ajst-25588	103	12	affected	affect	VERB
ajst-25588	103	13	by	by	ADP
ajst-25588	103	14	interference	interference	NOUN
ajst-25588	103	15	in	in	ADP
ajst-25588	103	16	the	the	DET
ajst-25588	103	17	original	original	ADJ
ajst-25588	103	18	figure	figure	NOUN
ajst-25588	103	19	4	4	NUM
ajst-25588	103	20	,	,	PUNCT
ajst-25588	103	21	the	the	DET
ajst-25588	103	22	detection	detection	NOUN
ajst-25588	103	23	of	of	ADP
ajst-25588	103	24	roberts	roberts	PROPN
ajst-25588	103	25	,	,	PUNCT
ajst-25588	103	26	prewitt	prewitt	PROPN
ajst-25588	103	27	and	and	CCONJ
ajst-25588	103	28	canny	canny	ADJ
ajst-25588	103	29	operators	operator	NOUN
ajst-25588	103	30	were	be	AUX
ajst-25588	103	31	all	all	PRON
ajst-25588	103	32	affected	affect	VERB
ajst-25588	103	33	by	by	ADP
ajst-25588	103	34	interference	interference	NOUN
ajst-25588	103	35	,	,	PUNCT
ajst-25588	103	36	but	but	CCONJ
ajst-25588	103	37	the	the	DET
ajst-25588	103	38	detection	detection	NOUN
ajst-25588	103	39	results	result	NOUN
ajst-25588	103	40	of	of	ADP
ajst-25588	103	41	roberts	roberts	PROPN
ajst-25588	103	42	and	and	CCONJ
ajst-25588	103	43	canny	canny	ADJ
ajst-25588	103	44	operators	operator	NOUN
ajst-25588	103	45	were	be	AUX
ajst-25588	103	46	the	the	DET
ajst-25588	103	47	128	128	NUM
ajst-25588	103	48	clearest	clear	ADJ
ajst-25588	103	49	,	,	PUNCT
ajst-25588	103	50	so	so	CCONJ
ajst-25588	103	51	the	the	DET
ajst-25588	103	52	detection	detection	NOUN
ajst-25588	103	53	results	result	NOUN
ajst-25588	103	54	of	of	ADP
ajst-25588	103	55	roberts	roberts	PROPN
ajst-25588	103	56	and	and	CCONJ
ajst-25588	103	57	canny	canny	ADJ
ajst-25588	103	58	operators	operator	NOUN
ajst-25588	103	59	were	be	AUX
ajst-25588	103	60	better	well	ADJ
ajst-25588	103	61	.	.	PUNCT
ajst-25588	104	1	although	although	SCONJ
ajst-25588	104	2	sobel	sobel	NOUN
ajst-25588	104	3	operator	operator	NOUN
ajst-25588	104	4	marked	mark	VERB
ajst-25588	104	5	the	the	DET
ajst-25588	104	6	contour	contour	NOUN
ajst-25588	104	7	,	,	PUNCT
ajst-25588	104	8	however	however	ADV
ajst-25588	104	9	,	,	PUNCT
ajst-25588	104	10	sobel	sobel	NOUN
ajst-25588	104	11	operator	operator	NOUN
ajst-25588	104	12	leads	lead	VERB
ajst-25588	104	13	to	to	ADP
ajst-25588	104	14	unsatisfactory	unsatisfactory	ADJ
ajst-25588	104	15	image	image	NOUN
ajst-25588	104	16	result	result	NOUN
ajst-25588	104	17	because	because	SCONJ
ajst-25588	104	18	of	of	ADP
ajst-25588	104	19	the	the	DET
ajst-25588	104	20	large	large	ADJ
ajst-25588	104	21	pixel	pixel	NOUN
ajst-25588	104	22	distance	distance	NOUN
ajst-25588	104	23	in	in	ADP
ajst-25588	104	24	the	the	DET
ajst-25588	104	25	image	image	NOUN
ajst-25588	104	26	area	area	NOUN
ajst-25588	104	27	.	.	PUNCT
ajst-25588	105	1	3.2.3	3.2.3	X
ajst-25588	105	2	.	.	X
ajst-25588	105	3	analysis	analysis	NOUN
ajst-25588	105	4	of	of	ADP
ajst-25588	105	5	experimental	experimental	ADJ
ajst-25588	105	6	results	result	NOUN
ajst-25588	105	7	in	in	ADP
ajst-25588	105	8	terms	term	NOUN
ajst-25588	105	9	of	of	ADP
ajst-25588	105	10	the	the	DET
ajst-25588	105	11	overall	overall	ADJ
ajst-25588	105	12	data	datum	NOUN
ajst-25588	105	13	of	of	ADP
ajst-25588	105	14	the	the	DET
ajst-25588	105	15	experiment	experiment	NOUN
ajst-25588	105	16	,	,	PUNCT
ajst-25588	105	17	the	the	DET
ajst-25588	105	18	detection	detection	NOUN
ajst-25588	105	19	of	of	ADP
ajst-25588	105	20	canny	canny	ADJ
ajst-25588	105	21	operator	operator	NOUN
ajst-25588	105	22	is	be	AUX
ajst-25588	105	23	the	the	DET
ajst-25588	105	24	most	most	ADV
ajst-25588	105	25	stable	stable	ADJ
ajst-25588	105	26	,	,	PUNCT
ajst-25588	105	27	and	and	CCONJ
ajst-25588	105	28	the	the	DET
ajst-25588	105	29	picture	picture	NOUN
ajst-25588	105	30	is	be	AUX
ajst-25588	105	31	very	very	ADV
ajst-25588	105	32	clear	clear	ADJ
ajst-25588	105	33	.	.	PUNCT
ajst-25588	106	1	with	with	ADP
ajst-25588	106	2	the	the	DET
ajst-25588	106	3	interference	interference	NOUN
ajst-25588	106	4	of	of	ADP
ajst-25588	106	5	various	various	ADJ
ajst-25588	106	6	image	image	NOUN
ajst-25588	106	7	factors	factor	NOUN
ajst-25588	106	8	considered	consider	VERB
ajst-25588	106	9	,	,	PUNCT
ajst-25588	106	10	the	the	DET
ajst-25588	106	11	operator	operator	NOUN
ajst-25588	106	12	itself	itself	PRON
ajst-25588	106	13	has	have	VERB
ajst-25588	106	14	a	a	DET
ajst-25588	106	15	high	high	ADJ
ajst-25588	106	16	resistance	resistance	NOUN
ajst-25588	106	17	.	.	PUNCT
ajst-25588	107	1	the	the	DET
ajst-25588	107	2	detection	detection	NOUN
ajst-25588	107	3	of	of	ADP
ajst-25588	107	4	roberts	roberts	PROPN
ajst-25588	107	5	operator	operator	NOUN
ajst-25588	107	6	can	can	AUX
ajst-25588	107	7	achieve	achieve	VERB
ajst-25588	107	8	an	an	DET
ajst-25588	107	9	ideal	ideal	ADJ
ajst-25588	107	10	level	level	NOUN
ajst-25588	107	11	in	in	ADP
ajst-25588	107	12	the	the	DET
ajst-25588	107	13	processing	processing	NOUN
ajst-25588	107	14	of	of	ADP
ajst-25588	107	15	low	low	ADJ
ajst-25588	107	16	-	-	PUNCT
ajst-25588	107	17	noise	noise	NOUN
ajst-25588	107	18	images	image	NOUN
ajst-25588	107	19	.	.	PUNCT
ajst-25588	108	1	when	when	SCONJ
ajst-25588	108	2	the	the	DET
ajst-25588	108	3	prewitt	prewitt	PROPN
ajst-25588	108	4	operator	operator	NOUN
ajst-25588	108	5	labels	label	VERB
ajst-25588	108	6	high	high	ADJ
ajst-25588	108	7	-	-	PUNCT
ajst-25588	108	8	noise	noise	NOUN
ajst-25588	108	9	images	image	NOUN
ajst-25588	108	10	,	,	PUNCT
ajst-25588	108	11	the	the	DET
ajst-25588	108	12	significant	significant	ADJ
ajst-25588	108	13	resistance	resistance	NOUN
ajst-25588	108	14	effect	effect	NOUN
ajst-25588	108	15	is	be	AUX
ajst-25588	108	16	more	more	ADV
ajst-25588	108	17	significant	significant	ADJ
ajst-25588	108	18	.	.	PUNCT
ajst-25588	109	1	however	however	ADV
ajst-25588	109	2	,	,	PUNCT
ajst-25588	109	3	when	when	SCONJ
ajst-25588	109	4	comparing	compare	VERB
ajst-25588	109	5	the	the	DET
ajst-25588	109	6	results	result	NOUN
ajst-25588	109	7	of	of	ADP
ajst-25588	109	8	roberts	robert	NOUN
ajst-25588	109	9	and	and	CCONJ
ajst-25588	109	10	canny	canny	ADJ
ajst-25588	109	11	operator	operator	NOUN
ajst-25588	109	12	,	,	PUNCT
ajst-25588	109	13	the	the	DET
ajst-25588	109	14	clarity	clarity	NOUN
ajst-25588	109	15	of	of	ADP
ajst-25588	109	16	the	the	DET
ajst-25588	109	17	images	image	NOUN
ajst-25588	109	18	detected	detect	VERB
ajst-25588	109	19	by	by	ADP
ajst-25588	109	20	the	the	DET
ajst-25588	109	21	prewitt	prewitt	PROPN
ajst-25588	109	22	operator	operator	NOUN
ajst-25588	109	23	is	be	AUX
ajst-25588	109	24	significantly	significantly	ADV
ajst-25588	109	25	lower	low	ADJ
ajst-25588	109	26	than	than	ADP
ajst-25588	109	27	that	that	PRON
ajst-25588	109	28	of	of	ADP
ajst-25588	109	29	the	the	DET
ajst-25588	109	30	two	two	NUM
ajst-25588	109	31	operators	operator	NOUN
ajst-25588	109	32	.	.	PUNCT
ajst-25588	110	1	through	through	ADP
ajst-25588	110	2	the	the	DET
ajst-25588	110	3	analysis	analysis	NOUN
ajst-25588	110	4	and	and	CCONJ
ajst-25588	110	5	comparison	comparison	NOUN
ajst-25588	110	6	of	of	ADP
ajst-25588	110	7	several	several	ADJ
ajst-25588	110	8	commonly	commonly	ADV
ajst-25588	110	9	used	use	VERB
ajst-25588	110	10	algorithms	algorithm	NOUN
ajst-25588	110	11	,	,	PUNCT
ajst-25588	110	12	it	it	PRON
ajst-25588	110	13	is	be	AUX
ajst-25588	110	14	found	find	VERB
ajst-25588	110	15	that	that	SCONJ
ajst-25588	110	16	for	for	ADP
ajst-25588	110	17	different	different	ADJ
ajst-25588	110	18	types	type	NOUN
ajst-25588	110	19	of	of	ADP
ajst-25588	110	20	objects	object	NOUN
ajst-25588	110	21	,	,	PUNCT
ajst-25588	110	22	the	the	DET
ajst-25588	110	23	corresponding	correspond	VERB
ajst-25588	110	24	image	image	NOUN
ajst-25588	110	25	processing	processing	NOUN
ajst-25588	110	26	technology	technology	NOUN
ajst-25588	110	27	can	can	AUX
ajst-25588	110	28	get	get	VERB
ajst-25588	110	29	more	more	ADJ
ajst-25588	110	30	satisfactory	satisfactory	ADJ
ajst-25588	110	31	processing	processing	NOUN
ajst-25588	110	32	results	result	NOUN
ajst-25588	110	33	,	,	PUNCT
ajst-25588	110	34	and	and	CCONJ
ajst-25588	110	35	these	these	DET
ajst-25588	110	36	methods	method	NOUN
ajst-25588	110	37	have	have	VERB
ajst-25588	110	38	certain	certain	ADJ
ajst-25588	110	39	applicability	applicability	NOUN
ajst-25588	110	40	.	.	PUNCT
ajst-25588	111	1	when	when	SCONJ
ajst-25588	111	2	the	the	DET
ajst-25588	111	3	sobel	sobel	NOUN
ajst-25588	111	4	operator	operator	NOUN
ajst-25588	111	5	is	be	AUX
ajst-25588	111	6	marked	mark	VERB
ajst-25588	111	7	as	as	ADP
ajst-25588	111	8	the	the	DET
ajst-25588	111	9	weld	weld	NOUN
ajst-25588	111	10	contour	contour	NOUN
ajst-25588	111	11	,	,	PUNCT
ajst-25588	111	12	the	the	DET
ajst-25588	111	13	image	image	NOUN
ajst-25588	111	14	marking	mark	VERB
ajst-25588	111	15	effect	effect	NOUN
ajst-25588	111	16	is	be	AUX
ajst-25588	111	17	much	much	ADV
ajst-25588	111	18	more	more	ADV
ajst-25588	111	19	obvious	obvious	ADJ
ajst-25588	111	20	than	than	ADP
ajst-25588	111	21	that	that	PRON
ajst-25588	111	22	of	of	ADP
ajst-25588	111	23	the	the	DET
ajst-25588	111	24	rest	rest	NOUN
ajst-25588	111	25	operator	operator	NOUN
ajst-25588	111	26	.	.	PUNCT
ajst-25588	112	1	however	however	ADV
ajst-25588	112	2	,	,	PUNCT
ajst-25588	112	3	in	in	ADP
ajst-25588	112	4	the	the	DET
ajst-25588	112	5	face	face	NOUN
ajst-25588	112	6	of	of	ADP
ajst-25588	112	7	objects	object	NOUN
ajst-25588	112	8	with	with	ADP
ajst-25588	112	9	not	not	PART
ajst-25588	112	10	dense	dense	ADJ
ajst-25588	112	11	pixels	pixel	NOUN
ajst-25588	112	12	in	in	ADP
ajst-25588	112	13	the	the	DET
ajst-25588	112	14	image	image	NOUN
ajst-25588	112	15	area	area	NOUN
ajst-25588	112	16	,	,	PUNCT
ajst-25588	112	17	the	the	DET
ajst-25588	112	18	result	result	NOUN
ajst-25588	112	19	is	be	AUX
ajst-25588	112	20	not	not	PART
ajst-25588	112	21	clear	clear	ADJ
ajst-25588	112	22	enough	enough	ADV
ajst-25588	112	23	and	and	CCONJ
ajst-25588	112	24	can	can	AUX
ajst-25588	112	25	not	not	PART
ajst-25588	112	26	be	be	AUX
ajst-25588	112	27	accurately	accurately	ADV
ajst-25588	112	28	marked	mark	VERB
ajst-25588	112	29	.	.	PUNCT
ajst-25588	113	1	4	4	X
ajst-25588	113	2	.	.	X
ajst-25588	113	3	conclusion	conclusion	NOUN
ajst-25588	113	4	in	in	ADP
ajst-25588	113	5	the	the	DET
ajst-25588	113	6	weld	weld	NOUN
ajst-25588	113	7	seam	seam	NOUN
ajst-25588	113	8	marking	marking	NOUN
ajst-25588	113	9	,	,	PUNCT
ajst-25588	113	10	interference	interference	NOUN
ajst-25588	113	11	by	by	ADP
ajst-25588	113	12	different	different	ADJ
ajst-25588	113	13	factors	factor	NOUN
ajst-25588	113	14	is	be	AUX
ajst-25588	113	15	unavoidable	unavoidable	ADJ
ajst-25588	113	16	,	,	PUNCT
ajst-25588	113	17	and	and	CCONJ
ajst-25588	113	18	the	the	DET
ajst-25588	113	19	high	high	ADJ
ajst-25588	113	20	-	-	PUNCT
ajst-25588	113	21	noise	noise	NOUN
ajst-25588	113	22	image	image	NOUN
ajst-25588	113	23	should	should	AUX
ajst-25588	113	24	be	be	AUX
ajst-25588	113	25	preprocessed	preprocesse	VERB
ajst-25588	113	26	by	by	ADP
ajst-25588	113	27	noise	noise	NOUN
ajst-25588	113	28	reduction	reduction	NOUN
ajst-25588	113	29	to	to	PART
ajst-25588	113	30	achieve	achieve	VERB
ajst-25588	113	31	the	the	DET
ajst-25588	113	32	effect	effect	NOUN
ajst-25588	113	33	of	of	ADP
ajst-25588	113	34	optimizing	optimize	VERB
ajst-25588	113	35	the	the	DET
ajst-25588	113	36	image	image	NOUN
ajst-25588	113	37	quality	quality	NOUN
ajst-25588	113	38	and	and	CCONJ
ajst-25588	113	39	reducing	reduce	VERB
ajst-25588	113	40	the	the	DET
ajst-25588	113	41	interference	interference	NOUN
ajst-25588	113	42	degree	degree	NOUN
ajst-25588	113	43	.	.	PUNCT
ajst-25588	114	1	based	base	VERB
ajst-25588	114	2	on	on	ADP
ajst-25588	114	3	the	the	DET
ajst-25588	114	4	edge	edge	NOUN
ajst-25588	114	5	detection	detection	NOUN
ajst-25588	114	6	algorithm	algorithm	NOUN
ajst-25588	114	7	of	of	ADP
ajst-25588	114	8	sobel	sobel	PROPN
ajst-25588	114	9	,	,	PUNCT
ajst-25588	114	10	roberts	roberts	PROPN
ajst-25588	114	11	,	,	PUNCT
ajst-25588	114	12	prewitt	prewitt	PROPN
ajst-25588	114	13	and	and	CCONJ
ajst-25588	114	14	canny	canny	ADJ
ajst-25588	114	15	operator	operator	NOUN
ajst-25588	114	16	,	,	PUNCT
ajst-25588	114	17	the	the	DET
ajst-25588	114	18	experimental	experimental	ADJ
ajst-25588	114	19	verification	verification	NOUN
ajst-25588	114	20	is	be	AUX
ajst-25588	114	21	carried	carry	VERB
ajst-25588	114	22	out	out	ADP
ajst-25588	114	23	for	for	ADP
ajst-25588	114	24	the	the	DET
ajst-25588	114	25	analysis	analysis	NOUN
ajst-25588	114	26	of	of	ADP
ajst-25588	114	27	image	image	NOUN
ajst-25588	114	28	weld	weld	NOUN
ajst-25588	114	29	marks	mark	NOUN
ajst-25588	114	30	.	.	PUNCT
ajst-25588	115	1	the	the	DET
ajst-25588	115	2	experimental	experimental	ADJ
ajst-25588	115	3	results	result	NOUN
ajst-25588	115	4	show	show	VERB
ajst-25588	115	5	that	that	SCONJ
ajst-25588	115	6	the	the	DET
ajst-25588	115	7	detection	detection	NOUN
ajst-25588	115	8	effect	effect	NOUN
ajst-25588	115	9	of	of	ADP
ajst-25588	115	10	canny	canny	ADJ
ajst-25588	115	11	operator	operator	NOUN
ajst-25588	115	12	is	be	AUX
ajst-25588	115	13	the	the	DET
ajst-25588	115	14	most	most	ADV
ajst-25588	115	15	stable	stable	ADJ
ajst-25588	115	16	.	.	PUNCT
ajst-25588	116	1	references	reference	NOUN
ajst-25588	116	2	[	[	X
ajst-25588	116	3	1	1	NUM
ajst-25588	116	4	]	]	X
ajst-25588	116	5	kiddee	kiddee	PROPN
ajst-25588	116	6	,	,	PUNCT
ajst-25588	116	7	prasarn	prasarn	NOUN
ajst-25588	116	8	,	,	PUNCT
ajst-25588	116	9	zaojun	zaojun	NOUN
ajst-25588	116	10	fang	fang	X
ajst-25588	116	11	,	,	PUNCT
ajst-25588	116	12	and	and	CCONJ
ajst-25588	116	13	min	min	PROPN
ajst-25588	116	14	tan	tan	PROPN
ajst-25588	116	15	.	.	PUNCT
ajst-25588	117	1	"	"	PUNCT
ajst-25588	117	2	an	an	DET
ajst-25588	117	3	automated	automate	VERB
ajst-25588	117	4	weld	weld	NOUN
ajst-25588	117	5	seam	seam	NOUN
ajst-25588	117	6	tracking	tracking	NOUN
ajst-25588	117	7	system	system	NOUN
ajst-25588	117	8	for	for	ADP
ajst-25588	117	9	thick	thick	ADJ
ajst-25588	117	10	plate	plate	NOUN
ajst-25588	117	11	using	use	VERB
ajst-25588	117	12	cross	cross	NOUN
ajst-25588	117	13	mark	mark	PROPN
ajst-25588	117	14	structured	structure	VERB
ajst-25588	117	15	light	light	NOUN
ajst-25588	117	16	.	.	PUNCT
ajst-25588	117	17	"	"	PUNCT
ajst-25588	118	1	the	the	DET
ajst-25588	118	2	international	international	ADJ
ajst-25588	118	3	journal	journal	NOUN
ajst-25588	118	4	of	of	ADP
ajst-25588	118	5	advanced	advanced	ADJ
ajst-25588	118	6	manufacturing	manufacturing	NOUN
ajst-25588	118	7	technology	technology	NOUN
ajst-25588	118	8	87	87	NUM
ajst-25588	118	9	(	(	PUNCT
ajst-25588	118	10	2016	2016	NUM
ajst-25588	118	11	):	):	PUNCT
ajst-25588	118	12	3589	3589	NUM
ajst-25588	118	13	-	-	SYM
ajst-25588	118	14	3603	3603	NUM
ajst-25588	118	15	.	.	PUNCT
ajst-25588	119	1	[	[	X
ajst-25588	119	2	2	2	NUM
ajst-25588	119	3	]	]	PUNCT
ajst-25588	119	4	sreedharan	sreedharan	ADJ
ajst-25588	119	5	,	,	PUNCT
ajst-25588	119	6	j.	j.	PROPN
ajst-25588	119	7	,	,	PUNCT
ajst-25588	119	8	and	and	CCONJ
ajst-25588	119	9	a.	a.	PROPN
ajst-25588	119	10	k.	k.	PROPN
ajst-25588	119	11	jeevanantham	jeevanantham	PROPN
ajst-25588	119	12	.	.	PUNCT
ajst-25588	120	1	"	"	PUNCT
ajst-25588	120	2	optimization	optimization	NOUN
ajst-25588	120	3	of	of	ADP
ajst-25588	120	4	injection	injection	NOUN
ajst-25588	120	5	molding	molding	NOUN
ajst-25588	120	6	process	process	NOUN
ajst-25588	120	7	to	to	PART
ajst-25588	120	8	minimize	minimize	VERB
ajst-25588	120	9	weld	weld	NOUN
ajst-25588	120	10	-	-	PUNCT
ajst-25588	120	11	line	line	NOUN
ajst-25588	120	12	and	and	CCONJ
ajst-25588	120	13	sink	sink	NOUN
ajst-25588	120	14	-	-	PUNCT
ajst-25588	120	15	mark	mark	NOUN
ajst-25588	120	16	defects	defect	NOUN
ajst-25588	120	17	using	use	VERB
ajst-25588	120	18	taguchi	taguchi	PROPN
ajst-25588	120	19	based	base	VERB
ajst-25588	120	20	grey	grey	PROPN
ajst-25588	120	21	relational	relational	ADJ
ajst-25588	120	22	analysis	analysis	NOUN
ajst-25588	120	23	.	.	PUNCT
ajst-25588	120	24	"	"	PUNCT
ajst-25588	120	25	materials	material	NOUN
ajst-25588	120	26	today	today	NOUN
ajst-25588	120	27	:	:	PUNCT
ajst-25588	120	28	proceedings5.5	proceedings5.5	NOUN
ajst-25588	120	29	(	(	PUNCT
ajst-25588	120	30	2018	2018	NUM
ajst-25588	120	31	):	):	PUNCT
ajst-25588	120	32	12615	12615	NUM
ajst-25588	120	33	-	-	SYM
ajst-25588	120	34	12622	12622	NUM
ajst-25588	120	35	.	.	PUNCT
ajst-25588	121	1	[	[	X
ajst-25588	121	2	3	3	NUM
ajst-25588	121	3	]	]	X
ajst-25588	121	4	wei	wei	PROPN
ajst-25588	121	5	,	,	PUNCT
ajst-25588	121	6	guoqian	guoqian	PROPN
ajst-25588	121	7	,	,	PUNCT
ajst-25588	121	8	et	et	PROPN
ajst-25588	121	9	al	al	PROPN
ajst-25588	121	10	.	.	PUNCT
ajst-25588	122	1	"	"	PUNCT
ajst-25588	122	2	experiment	experiment	NOUN
ajst-25588	122	3	and	and	CCONJ
ajst-25588	122	4	simulation	simulation	NOUN
ajst-25588	122	5	investigation	investigation	NOUN
ajst-25588	122	6	of	of	ADP
ajst-25588	122	7	multiple	multiple	ADJ
ajst-25588	122	8	cracks	crack	NOUN
ajst-25588	122	9	evolution	evolution	NOUN
ajst-25588	122	10	at	at	ADP
ajst-25588	122	11	the	the	DET
ajst-25588	122	12	weld	weld	NOUN
ajst-25588	122	13	toe	toe	NOUN
ajst-25588	122	14	.	.	PUNCT
ajst-25588	122	15	"	"	PUNCT
ajst-25588	123	1	international	international	ADJ
ajst-25588	123	2	journal	journal	NOUN
ajst-25588	123	3	of	of	ADP
ajst-25588	123	4	fatigue	fatigue	NOUN
ajst-25588	123	5	144	144	NUM
ajst-25588	123	6	(	(	PUNCT
ajst-25588	123	7	2021	2021	NUM
ajst-25588	123	8	):	):	PUNCT
ajst-25588	123	9	106037	106037	NUM
ajst-25588	123	10	.	.	PUNCT
ajst-25588	124	1	[	[	X
ajst-25588	124	2	4	4	NUM
ajst-25588	124	3	]	]	X
ajst-25588	124	4	shi	shi	PROPN
ajst-25588	124	5	,	,	PUNCT
ajst-25588	124	6	wen	wen	PROPN
ajst-25588	124	7	,	,	PUNCT
ajst-25588	124	8	et	et	PROPN
ajst-25588	124	9	al	al	PROPN
ajst-25588	124	10	.	.	PUNCT
ajst-25588	125	1	"	"	PUNCT
ajst-25588	125	2	wire	wire	NOUN
ajst-25588	125	3	melted	melt	VERB
ajst-25588	125	4	mark	mark	PROPN
ajst-25588	125	5	metallographic	metallographic	ADJ
ajst-25588	125	6	image	image	NOUN
ajst-25588	125	7	recognition	recognition	NOUN
ajst-25588	125	8	and	and	CCONJ
ajst-25588	125	9	classification	classification	NOUN
ajst-25588	125	10	based	base	VERB
ajst-25588	125	11	on	on	ADP
ajst-25588	125	12	semantic	semantic	ADJ
ajst-25588	125	13	segmentation	segmentation	NOUN
ajst-25588	125	14	.	.	PUNCT
ajst-25588	126	1	"	"	PUNCT
ajst-25588	126	2	expert	expert	ADJ
ajst-25588	126	3	systems	system	NOUN
ajst-25588	126	4	with	with	ADP
ajst-25588	126	5	applications	application	NOUN
ajst-25588	126	6	238	238	NUM
ajst-25588	126	7	(	(	PUNCT
ajst-25588	126	8	2024	2024	NUM
ajst-25588	126	9	):	):	PUNCT
ajst-25588	126	10	122146	122146	NUM
ajst-25588	126	11	.	.	PUNCT
ajst-25588	127	1	[	[	X
ajst-25588	127	2	5	5	NUM
ajst-25588	127	3	]	]	X
ajst-25588	127	4	wang	wang	PROPN
ajst-25588	127	5	,	,	PUNCT
ajst-25588	127	6	weifeng	weifeng	PROPN
ajst-25588	127	7	,	,	PUNCT
ajst-25588	127	8	et	et	PROPN
ajst-25588	127	9	al	al	PROPN
ajst-25588	127	10	.	.	PUNCT
ajst-25588	128	1	"	"	PUNCT
ajst-25588	128	2	study	study	NOUN
ajst-25588	128	3	on	on	ADP
ajst-25588	128	4	the	the	DET
ajst-25588	128	5	microstructure	microstructure	ADJ
ajst-25588	128	6	characteristics	characteristic	NOUN
ajst-25588	128	7	of	of	ADP
ajst-25588	128	8	melting	melt	VERB
ajst-25588	128	9	marks	mark	NOUN
ajst-25588	128	10	in	in	ADP
ajst-25588	128	11	copper	copper	NOUN
ajst-25588	128	12	-	-	PUNCT
ajst-25588	128	13	clad	clothe	VERB
ajst-25588	128	14	aluminum	aluminum	NOUN
ajst-25588	128	15	wires	wire	NOUN
ajst-25588	128	16	under	under	ADP
ajst-25588	128	17	overcurrent	overcurrent	NOUN
ajst-25588	128	18	faults	fault	NOUN
ajst-25588	128	19	.	.	PUNCT
ajst-25588	128	20	"	"	PUNCT
ajst-25588	129	1	journal	journal	NOUN
ajst-25588	129	2	of	of	ADP
ajst-25588	129	3	thermal	thermal	ADJ
ajst-25588	129	4	analysis	analysis	NOUN
ajst-25588	129	5	and	and	CCONJ
ajst-25588	129	6	calorimetry149.1	calorimetry149.1	PROPN
ajst-25588	129	7	(	(	PUNCT
ajst-25588	129	8	2024	2024	NUM
ajst-25588	129	9	):	):	PUNCT
ajst-25588	129	10	345	345	NUM
ajst-25588	129	11	-	-	SYM
ajst-25588	129	12	357	357	NUM
ajst-25588	129	13	.	.	PUNCT
ajst-25588	130	1	[	[	X
ajst-25588	130	2	6	6	NUM
ajst-25588	130	3	]	]	X
ajst-25588	130	4	wang	wang	PROPN
ajst-25588	130	5	,	,	PUNCT
ajst-25588	130	6	ren	ren	PROPN
ajst-25588	130	7	*	*	PROPN
ajst-25588	130	8	*	*	PROPN
ajst-25588	130	9	,	,	PUNCT
ajst-25588	130	10	and	and	CCONJ
ajst-25588	130	11	yong	yong	PROPN
ajst-25588	130	12	lei	lei	PROPN
ajst-25588	130	13	.	.	PUNCT
ajst-25588	131	1	"	"	PUNCT
ajst-25588	131	2	application	application	NOUN
ajst-25588	131	3	of	of	ADP
ajst-25588	131	4	computer	computer	NOUN
ajst-25588	131	5	virtual	virtual	ADJ
ajst-25588	131	6	reality	reality	NOUN
ajst-25588	131	7	technology	technology	NOUN
ajst-25588	131	8	in	in	ADP
ajst-25588	131	9	welding	welding	NOUN
ajst-25588	131	10	simulation	simulation	NOUN
ajst-25588	131	11	training	training	NOUN
ajst-25588	131	12	of	of	ADP
ajst-25588	131	13	complex	complex	ADJ
ajst-25588	131	14	structures	structure	NOUN
ajst-25588	131	15	based	base	VERB
ajst-25588	131	16	on	on	ADP
ajst-25588	131	17	unity3d	unity3d	NOUN
ajst-25588	131	18	.	.	PUNCT
ajst-25588	131	19	"	"	PUNCT
ajst-25588	132	1	journal	journal	NOUN
ajst-25588	132	2	of	of	ADP
ajst-25588	132	3	electrical	electrical	ADJ
ajst-25588	132	4	systems	system	NOUN
ajst-25588	132	5	20.2	20.2	NUM
ajst-25588	132	6	(	(	PUNCT
ajst-25588	132	7	2024	2024	NUM
ajst-25588	132	8	):	):	PUNCT
ajst-25588	132	9	641	641	NUM
ajst-25588	132	10	-	-	SYM
ajst-25588	132	11	652	652	NUM
ajst-25588	132	12	.	.	PUNCT
ajst-25588	133	1	[	[	X
ajst-25588	133	2	7	7	NUM
ajst-25588	133	3	]	]	X
ajst-25588	133	4	wiegand	wiegand	NOUN
ajst-25588	133	5	,	,	PUNCT
ajst-25588	133	6	michael	michael	PROPN
ajst-25588	133	7	,	,	PUNCT
ajst-25588	133	8	et	et	PROPN
ajst-25588	133	9	al	al	PROPN
ajst-25588	133	10	.	.	PUNCT
ajst-25588	134	1	"	"	PUNCT
ajst-25588	134	2	high	high	ADJ
ajst-25588	134	3	-	-	PUNCT
ajst-25588	134	4	strength	strength	NOUN
ajst-25588	134	5	dissimilar	dissimilar	ADJ
ajst-25588	134	6	welds	weld	NOUN
ajst-25588	134	7	between	between	ADP
ajst-25588	134	8	a	a	DET
ajst-25588	134	9	niti	niti	NOUN
ajst-25588	134	10	shape	shape	NOUN
ajst-25588	134	11	memory	memory	NOUN
ajst-25588	134	12	alloy	alloy	NOUN
ajst-25588	134	13	and	and	CCONJ
ajst-25588	134	14	titanium	titanium	NOUN
ajst-25588	134	15	obtained	obtain	VERB
ajst-25588	134	16	by	by	ADP
ajst-25588	134	17	intermixing	intermix	VERB
ajst-25588	134	18	niobium	niobium	NOUN
ajst-25588	134	19	using	use	VERB
ajst-25588	134	20	pulsed	pulse	VERB
ajst-25588	134	21	laser	laser	NOUN
ajst-25588	134	22	beam	beam	NOUN
ajst-25588	134	23	welding	welding	NOUN
ajst-25588	134	24	.	.	PUNCT
ajst-25588	134	25	"	"	PUNCT
ajst-25588	134	26	metallurgical	metallurgical	ADJ
ajst-25588	134	27	and	and	CCONJ
ajst-25588	134	28	materials	material	NOUN
ajst-25588	134	29	transactions	transaction	NOUN
ajst-25588	134	30	a55.1	a55.1	PROPN
ajst-25588	134	31	(	(	PUNCT
ajst-25588	134	32	2024	2024	NUM
ajst-25588	134	33	):	):	PUNCT
ajst-25588	134	34	278290	278290	NUM
ajst-25588	134	35	.	.	PUNCT
ajst-25588	135	1	[	[	X
ajst-25588	135	2	8	8	NUM
ajst-25588	135	3	]	]	PUNCT
ajst-25588	135	4	he	he	PRON
ajst-25588	135	5	,	,	PUNCT
ajst-25588	135	6	jiadong	jiadong	PROPN
ajst-25588	135	7	,	,	PUNCT
ajst-25588	135	8	haibo	haibo	PROPN
ajst-25588	135	9	wang	wang	PROPN
ajst-25588	135	10	,	,	PUNCT
ajst-25588	135	11	and	and	CCONJ
ajst-25588	135	12	yajun	yajun	PROPN
ajst-25588	135	13	zhang	zhang	PROPN
ajst-25588	135	14	.	.	PUNCT
ajst-25588	136	1	"	"	PUNCT
ajst-25588	136	2	weld	weld	NOUN
ajst-25588	136	3	quality	quality	NOUN
ajst-25588	136	4	measurement	measurement	NOUN
ajst-25588	136	5	of	of	ADP
ajst-25588	136	6	t	t	PROPN
ajst-25588	136	7	-	-	PUNCT
ajst-25588	136	8	joints	joint	NOUN
ajst-25588	136	9	based	base	VERB
ajst-25588	136	10	on	on	ADP
ajst-25588	136	11	three	three	NUM
ajst-25588	136	12	-	-	PUNCT
ajst-25588	136	13	dimensional	dimensional	ADJ
ajst-25588	136	14	scanner	scanner	NOUN
ajst-25588	136	15	.	.	PUNCT
ajst-25588	136	16	"	"	PUNCT
ajst-25588	137	1	the	the	DET
ajst-25588	137	2	international	international	ADJ
ajst-25588	137	3	journal	journal	NOUN
ajst-25588	137	4	of	of	ADP
ajst-25588	137	5	advanced	advanced	ADJ
ajst-25588	137	6	manufacturing	manufacturing	NOUN
ajst-25588	137	7	technology	technology	NOUN
ajst-25588	137	8	(	(	PUNCT
ajst-25588	137	9	2024	2024	NUM
ajst-25588	137	10	):	):	PUNCT
ajst-25588	137	11	1	1	NUM
ajst-25588	137	12	-	-	SYM
ajst-25588	137	13	12	12	NUM
ajst-25588	137	14	.	.	PUNCT