id	sid	tid	token	lemma	pos
ajst-17929	1	1	academic	academic	ADJ
ajst-17929	1	2	journal	journal	NOUN
ajst-17929	1	3	of	of	ADP
ajst-17929	1	4	science	science	NOUN
ajst-17929	1	5	and	and	CCONJ
ajst-17929	1	6	technology	technology	NOUN
ajst-17929	1	7	issn	issn	NOUN
ajst-17929	1	8	:	:	PUNCT
ajst-17929	1	9	2771	2771	NUM
ajst-17929	1	10	-	-	SYM
ajst-17929	1	11	3032	3032	NUM
ajst-17929	1	12	|	|	NOUN
ajst-17929	1	13	vol	vol	NOUN
ajst-17929	1	14	.	.	PROPN
ajst-17929	2	1	9	9	NUM
ajst-17929	2	2	,	,	PUNCT
ajst-17929	2	3	no	no	INTJ
ajst-17929	2	4	.	.	NOUN
ajst-17929	2	5	2	2	NUM
ajst-17929	2	6	,	,	PUNCT
ajst-17929	2	7	2024	2024	NUM
ajst-17929	2	8	230	230	NUM
ajst-17929	2	9	tool	tool	NOUN
ajst-17929	2	10	damage	damage	NOUN
ajst-17929	2	11	detection	detection	NOUN
ajst-17929	2	12	method	method	NOUN
ajst-17929	2	13	based	base	VERB
ajst-17929	2	14	on	on	ADP
ajst-17929	2	15	improved	improved	ADJ
ajst-17929	2	16	threshold	threshold	NOUN
ajst-17929	2	17	segmentation	segmentation	NOUN
ajst-17929	2	18	algorithm	algorithm	PROPN
ajst-17929	2	19	lunwen	lunwen	PROPN
ajst-17929	2	20	peng1	peng1	PROPN
ajst-17929	2	21	,	,	PUNCT
ajst-17929	2	22	shenghu	shenghu	PROPN
ajst-17929	2	23	pan2	pan2	PROPN
ajst-17929	2	24	1department	1department	NUM
ajst-17929	2	25	of	of	ADP
ajst-17929	2	26	mechatronics	mechatronic	NOUN
ajst-17929	2	27	engineering	engineering	NOUN
ajst-17929	2	28	,	,	PUNCT
ajst-17929	2	29	southwest	southwest	ADJ
ajst-17929	2	30	petroleum	petroleum	PROPN
ajst-17929	2	31	university	university	PROPN
ajst-17929	2	32	,	,	PUNCT
ajst-17929	2	33	chengdu	chengdu	PROPN
ajst-17929	2	34	610500	610500	NUM
ajst-17929	2	35	,	,	PUNCT
ajst-17929	2	36	china	china	PROPN
ajst-17929	2	37	2oil	2oil	NUM
ajst-17929	2	38	and	and	CCONJ
ajst-17929	2	39	gas	gas	NOUN
ajst-17929	2	40	equipment	equipment	NOUN
ajst-17929	2	41	technology	technology	NOUN
ajst-17929	2	42	sharing	sharing	NOUN
ajst-17929	2	43	and	and	CCONJ
ajst-17929	2	44	service	service	NOUN
ajst-17929	2	45	platform	platform	NOUN
ajst-17929	2	46	of	of	ADP
ajst-17929	2	47	sichuan	sichuan	PROPN
ajst-17929	2	48	province	province	PROPN
ajst-17929	2	49	610500	610500	NUM
ajst-17929	2	50	,	,	PUNCT
ajst-17929	2	51	china	china	PROPN
ajst-17929	2	52	abstract	abstract	NOUN
ajst-17929	2	53	:	:	PUNCT
ajst-17929	2	54	in	in	ADP
ajst-17929	2	55	order	order	NOUN
ajst-17929	2	56	to	to	PART
ajst-17929	2	57	solve	solve	VERB
ajst-17929	2	58	the	the	DET
ajst-17929	2	59	problem	problem	NOUN
ajst-17929	2	60	that	that	SCONJ
ajst-17929	2	61	the	the	DET
ajst-17929	2	62	current	current	ADJ
ajst-17929	2	63	tool	tool	NOUN
ajst-17929	2	64	wear	wear	VERB
ajst-17929	2	65	defects	defect	NOUN
ajst-17929	2	66	are	be	AUX
ajst-17929	2	67	difficult	difficult	ADJ
ajst-17929	2	68	to	to	PART
ajst-17929	2	69	be	be	AUX
ajst-17929	2	70	collected	collect	VERB
ajst-17929	2	71	by	by	ADP
ajst-17929	2	72	the	the	DET
ajst-17929	2	73	visual	visual	ADJ
ajst-17929	2	74	inspection	inspection	NOUN
ajst-17929	2	75	system	system	NOUN
ajst-17929	2	76	,	,	PUNCT
ajst-17929	2	77	an	an	DET
ajst-17929	2	78	otsu	otsu	ADJ
ajst-17929	2	79	threshold	threshold	NOUN
ajst-17929	2	80	segmentation	segmentation	NOUN
ajst-17929	2	81	algorithm	algorithm	NOUN
ajst-17929	2	82	based	base	VERB
ajst-17929	2	83	on	on	ADP
ajst-17929	2	84	particle	particle	NOUN
ajst-17929	2	85	swarm	swarm	NOUN
ajst-17929	2	86	optimization	optimization	NOUN
ajst-17929	2	87	is	be	AUX
ajst-17929	2	88	proposed.to	proposed.to	NUM
ajst-17929	2	89	detect	detect	NOUN
ajst-17929	2	90	tool	tool	NOUN
ajst-17929	2	91	wear	wear	VERB
ajst-17929	2	92	the	the	DET
ajst-17929	2	93	algorithm	algorithm	NOUN
ajst-17929	2	94	improved	improve	VERB
ajst-17929	2	95	update	update	NOUN
ajst-17929	2	96	strategy	strategy	NOUN
ajst-17929	2	97	for	for	ADP
ajst-17929	2	98	inertia	inertia	NOUN
ajst-17929	2	99	coefficients	coefficient	NOUN
ajst-17929	2	100	which	which	PRON
ajst-17929	2	101	effectively	effectively	ADV
ajst-17929	2	102	expanding	expand	VERB
ajst-17929	2	103	the	the	DET
ajst-17929	2	104	search	search	NOUN
ajst-17929	2	105	scope	scope	NOUN
ajst-17929	2	106	of	of	ADP
ajst-17929	2	107	the	the	DET
ajst-17929	2	108	algorithm	algorithm	NOUN
ajst-17929	2	109	and	and	CCONJ
ajst-17929	2	110	shortens	shorten	VERB
ajst-17929	2	111	the	the	DET
ajst-17929	2	112	running	running	NOUN
ajst-17929	2	113	time	time	NOUN
ajst-17929	2	114	of	of	ADP
ajst-17929	2	115	the	the	DET
ajst-17929	2	116	algorithm	algorithm	NOUN
ajst-17929	2	117	.	.	PUNCT
ajst-17929	3	1	by	by	ADP
ajst-17929	3	2	adding	add	VERB
ajst-17929	3	3	a	a	DET
ajst-17929	3	4	perturbation	perturbation	NOUN
ajst-17929	3	5	equation	equation	NOUN
ajst-17929	3	6	to	to	ADP
ajst-17929	3	7	the	the	DET
ajst-17929	3	8	particle	particle	NOUN
ajst-17929	3	9	swarm	swarm	NOUN
ajst-17929	3	10	,	,	PUNCT
ajst-17929	3	11	solved	solve	VERB
ajst-17929	3	12	the	the	DET
ajst-17929	3	13	problem	problem	NOUN
ajst-17929	3	14	of	of	ADP
ajst-17929	3	15	traditional	traditional	ADJ
ajst-17929	3	16	particle	particle	NOUN
ajst-17929	3	17	swarm	swarm	NOUN
ajst-17929	3	18	optimization	optimization	NOUN
ajst-17929	3	19	algorithms	algorithm	NOUN
ajst-17929	3	20	easily	easily	ADV
ajst-17929	3	21	falling	fall	VERB
ajst-17929	3	22	into	into	ADP
ajst-17929	3	23	local	local	ADJ
ajst-17929	3	24	optima	optima	NOUN
ajst-17929	3	25	.	.	PUNCT
ajst-17929	4	1	finally	finally	ADV
ajst-17929	4	2	,	,	PUNCT
ajst-17929	4	3	an	an	DET
ajst-17929	4	4	experimental	experimental	ADJ
ajst-17929	4	5	platform	platform	NOUN
ajst-17929	4	6	is	be	AUX
ajst-17929	4	7	built	build	VERB
ajst-17929	4	8	to	to	PART
ajst-17929	4	9	verify	verify	VERB
ajst-17929	4	10	the	the	DET
ajst-17929	4	11	effectiveness	effectiveness	NOUN
ajst-17929	4	12	of	of	ADP
ajst-17929	4	13	the	the	DET
ajst-17929	4	14	algorithm	algorithm	NOUN
ajst-17929	4	15	.	.	PUNCT
ajst-17929	5	1	this	this	DET
ajst-17929	5	2	inspection	inspection	NOUN
ajst-17929	5	3	method	method	NOUN
ajst-17929	5	4	can	can	AUX
ajst-17929	5	5	achieve	achieve	VERB
ajst-17929	5	6	the	the	DET
ajst-17929	5	7	identification	identification	NOUN
ajst-17929	5	8	of	of	ADP
ajst-17929	5	9	tool	tool	NOUN
ajst-17929	5	10	damage	damage	NOUN
ajst-17929	5	11	areas	area	NOUN
ajst-17929	5	12	and	and	CCONJ
ajst-17929	5	13	the	the	DET
ajst-17929	5	14	measurement	measurement	NOUN
ajst-17929	5	15	of	of	ADP
ajst-17929	5	16	tool	tool	NOUN
ajst-17929	5	17	damage	damage	NOUN
ajst-17929	5	18	amount	amount	NOUN
ajst-17929	5	19	,	,	PUNCT
ajst-17929	5	20	and	and	CCONJ
ajst-17929	5	21	has	have	VERB
ajst-17929	5	22	advantages	advantage	NOUN
ajst-17929	5	23	such	such	ADJ
ajst-17929	5	24	as	as	ADP
ajst-17929	5	25	high	high	ADJ
ajst-17929	5	26	recognition	recognition	NOUN
ajst-17929	5	27	accuracy	accuracy	NOUN
ajst-17929	5	28	and	and	CCONJ
ajst-17929	5	29	fast	fast	ADV
ajst-17929	5	30	running	running	NOUN
ajst-17929	5	31	speed	speed	NOUN
ajst-17929	5	32	compared	compare	VERB
ajst-17929	5	33	to	to	ADP
ajst-17929	5	34	traditional	traditional	ADJ
ajst-17929	5	35	otsu	otsu	ADJ
ajst-17929	5	36	algorithm	algorithm	NOUN
ajst-17929	5	37	,	,	PUNCT
ajst-17929	5	38	canny	canny	ADJ
ajst-17929	5	39	algorithm	algorithm	NOUN
ajst-17929	5	40	,	,	PUNCT
ajst-17929	5	41	local	local	ADJ
ajst-17929	5	42	threshold	threshold	NOUN
ajst-17929	5	43	segmentation	segmentation	NOUN
ajst-17929	5	44	and	and	CCONJ
ajst-17929	5	45	so	so	ADV
ajst-17929	5	46	on	on	ADV
ajst-17929	5	47	.	.	PUNCT
ajst-17929	6	1	the	the	DET
ajst-17929	6	2	research	research	NOUN
ajst-17929	6	3	results	result	NOUN
ajst-17929	6	4	have	have	VERB
ajst-17929	6	5	certain	certain	ADJ
ajst-17929	6	6	reference	reference	NOUN
ajst-17929	6	7	value	value	NOUN
ajst-17929	6	8	for	for	ADP
ajst-17929	6	9	the	the	DET
ajst-17929	6	10	actual	actual	ADJ
ajst-17929	6	11	tool	tool	NOUN
ajst-17929	6	12	defect	defect	NOUN
ajst-17929	6	13	detection	detection	NOUN
ajst-17929	6	14	system	system	NOUN
ajst-17929	6	15	.	.	PUNCT
ajst-17929	7	1	keywords	keyword	NOUN
ajst-17929	7	2	:	:	PUNCT
ajst-17929	7	3	tool	tool	NOUN
ajst-17929	7	4	wear	wear	NOUN
ajst-17929	7	5	;	;	PUNCT
ajst-17929	7	6	visual	visual	ADJ
ajst-17929	7	7	detection	detection	NOUN
ajst-17929	7	8	;	;	PUNCT
ajst-17929	7	9	otsu	otsu	NOUN
ajst-17929	7	10	:	:	PUNCT
ajst-17929	7	11	pso	pso	NOUN
ajst-17929	7	12	.	.	PUNCT
ajst-17929	8	1	1	1	X
ajst-17929	8	2	.	.	X
ajst-17929	8	3	introduction	introduction	NOUN
ajst-17929	8	4	at	at	ADP
ajst-17929	8	5	present	present	ADJ
ajst-17929	8	6	,	,	PUNCT
ajst-17929	8	7	cutting	cut	VERB
ajst-17929	8	8	is	be	AUX
ajst-17929	8	9	still	still	ADV
ajst-17929	8	10	one	one	NUM
ajst-17929	8	11	of	of	ADP
ajst-17929	8	12	the	the	DET
ajst-17929	8	13	important	important	ADJ
ajst-17929	8	14	machining	machining	NOUN
ajst-17929	8	15	processes	process	NOUN
ajst-17929	8	16	,	,	PUNCT
ajst-17929	8	17	and	and	CCONJ
ajst-17929	8	18	the	the	DET
ajst-17929	8	19	tool	tool	NOUN
ajst-17929	8	20	as	as	ADP
ajst-17929	8	21	the	the	DET
ajst-17929	8	22	core	core	NOUN
ajst-17929	8	23	tool	tool	NOUN
ajst-17929	8	24	in	in	ADP
ajst-17929	8	25	cutting	cutting	NOUN
ajst-17929	8	26	,	,	PUNCT
ajst-17929	8	27	the	the	DET
ajst-17929	8	28	quality	quality	NOUN
ajst-17929	8	29	of	of	ADP
ajst-17929	8	30	the	the	DET
ajst-17929	8	31	tool	tool	NOUN
ajst-17929	8	32	will	will	AUX
ajst-17929	8	33	affect	affect	VERB
ajst-17929	8	34	the	the	DET
ajst-17929	8	35	machining	machining	NOUN
ajst-17929	8	36	accuracy	accuracy	NOUN
ajst-17929	8	37	and	and	CCONJ
ajst-17929	8	38	quality	quality	NOUN
ajst-17929	8	39	of	of	ADP
ajst-17929	8	40	the	the	DET
ajst-17929	8	41	machine	machine	NOUN
ajst-17929	8	42	tool	tool	NOUN
ajst-17929	8	43	.	.	PUNCT
ajst-17929	9	1	in	in	ADP
ajst-17929	9	2	actual	actual	ADJ
ajst-17929	9	3	processing	processing	NOUN
ajst-17929	9	4	,	,	PUNCT
ajst-17929	9	5	it	it	PRON
ajst-17929	9	6	is	be	AUX
ajst-17929	9	7	usually	usually	ADV
ajst-17929	9	8	determined	determine	VERB
ajst-17929	9	9	by	by	ADP
ajst-17929	9	10	worker	worker	NOUN
ajst-17929	9	11	experience	experience	NOUN
ajst-17929	9	12	whether	whether	SCONJ
ajst-17929	9	13	the	the	DET
ajst-17929	9	14	tool	tool	NOUN
ajst-17929	9	15	has	have	AUX
ajst-17929	9	16	reached	reach	VERB
ajst-17929	9	17	scrap	scrap	NOUN
ajst-17929	9	18	conditions	condition	NOUN
ajst-17929	9	19	.	.	PUNCT
ajst-17929	10	1	this	this	DET
ajst-17929	10	2	method	method	NOUN
ajst-17929	10	3	will	will	AUX
ajst-17929	10	4	result	result	VERB
ajst-17929	10	5	in	in	ADP
ajst-17929	10	6	a	a	DET
ajst-17929	10	7	considerable	considerable	ADJ
ajst-17929	10	8	number	number	NOUN
ajst-17929	10	9	of	of	ADP
ajst-17929	10	10	tools	tool	NOUN
ajst-17929	10	11	that	that	PRON
ajst-17929	10	12	have	have	AUX
ajst-17929	10	13	not	not	PART
ajst-17929	10	14	yet	yet	ADV
ajst-17929	10	15	reached	reach	VERB
ajst-17929	10	16	the	the	DET
ajst-17929	10	17	scrapping	scrap	VERB
ajst-17929	10	18	conditions	condition	NOUN
ajst-17929	10	19	to	to	PART
ajst-17929	10	20	be	be	AUX
ajst-17929	10	21	replaced	replace	VERB
ajst-17929	10	22	.	.	PUNCT
ajst-17929	11	1	if	if	SCONJ
ajst-17929	11	2	the	the	DET
ajst-17929	11	3	tool	tool	NOUN
ajst-17929	11	4	has	have	AUX
ajst-17929	11	5	been	be	AUX
ajst-17929	11	6	excessively	excessively	ADV
ajst-17929	11	7	worn	wear	VERB
ajst-17929	11	8	and	and	CCONJ
ajst-17929	11	9	has	have	AUX
ajst-17929	11	10	not	not	PART
ajst-17929	11	11	been	be	AUX
ajst-17929	11	12	replaced	replace	VERB
ajst-17929	11	13	,	,	PUNCT
ajst-17929	11	14	it	it	PRON
ajst-17929	11	15	will	will	AUX
ajst-17929	11	16	significantly	significantly	ADV
ajst-17929	11	17	reduce	reduce	VERB
ajst-17929	11	18	the	the	DET
ajst-17929	11	19	dimensional	dimensional	ADJ
ajst-17929	11	20	accuracy	accuracy	NOUN
ajst-17929	11	21	of	of	ADP
ajst-17929	11	22	the	the	DET
ajst-17929	11	23	parts	part	NOUN
ajst-17929	11	24	and	and	CCONJ
ajst-17929	11	25	even	even	ADV
ajst-17929	11	26	cause	cause	VERB
ajst-17929	11	27	safety	safety	NOUN
ajst-17929	11	28	accidents	accident	NOUN
ajst-17929	11	29	.	.	PUNCT
ajst-17929	12	1	therefore	therefore	ADV
ajst-17929	12	2	,	,	PUNCT
ajst-17929	12	3	in	in	ADP
ajst-17929	12	4	order	order	NOUN
ajst-17929	12	5	to	to	PART
ajst-17929	12	6	accurately	accurately	ADV
ajst-17929	12	7	measure	measure	VERB
ajst-17929	12	8	the	the	DET
ajst-17929	12	9	wear	wear	NOUN
ajst-17929	12	10	of	of	ADP
ajst-17929	12	11	the	the	DET
ajst-17929	12	12	tool	tool	NOUN
ajst-17929	12	13	,	,	PUNCT
ajst-17929	12	14	it	it	PRON
ajst-17929	12	15	is	be	AUX
ajst-17929	12	16	necessary	necessary	ADJ
ajst-17929	12	17	to	to	PART
ajst-17929	12	18	detect	detect	VERB
ajst-17929	12	19	the	the	DET
ajst-17929	12	20	tool	tool	NOUN
ajst-17929	12	21	wear	wear	VERB
ajst-17929	12	22	area	area	NOUN
ajst-17929	12	23	.	.	PUNCT
ajst-17929	13	1	the	the	DET
ajst-17929	13	2	method	method	NOUN
ajst-17929	13	3	of	of	ADP
ajst-17929	13	4	detecting	detect	VERB
ajst-17929	13	5	and	and	CCONJ
ajst-17929	13	6	measuring	measure	VERB
ajst-17929	13	7	tool	tool	NOUN
ajst-17929	13	8	state	state	NOUN
ajst-17929	13	9	can	can	AUX
ajst-17929	13	10	be	be	AUX
ajst-17929	13	11	divided	divide	VERB
ajst-17929	13	12	into	into	ADP
ajst-17929	13	13	direct	direct	ADJ
ajst-17929	13	14	measurement	measurement	NOUN
ajst-17929	13	15	method	method	NOUN
ajst-17929	13	16	and	and	CCONJ
ajst-17929	13	17	indirect	indirect	ADJ
ajst-17929	13	18	measurement	measurement	NOUN
ajst-17929	13	19	method	method	NOUN
ajst-17929	13	20	.	.	PUNCT
ajst-17929	14	1	indirect	indirect	ADJ
ajst-17929	14	2	measurement	measurement	NOUN
ajst-17929	14	3	method	method	NOUN
ajst-17929	14	4	is	be	AUX
ajst-17929	14	5	to	to	PART
ajst-17929	14	6	detect	detect	VERB
ajst-17929	14	7	the	the	DET
ajst-17929	14	8	characteristic	characteristic	ADJ
ajst-17929	14	9	changes	change	NOUN
ajst-17929	14	10	of	of	ADP
ajst-17929	14	11	cutting	cut	VERB
ajst-17929	14	12	force	force	NOUN
ajst-17929	14	13	,	,	PUNCT
ajst-17929	14	14	sound	sound	ADJ
ajst-17929	14	15	,	,	PUNCT
ajst-17929	14	16	vibration	vibration	NOUN
ajst-17929	14	17	,	,	PUNCT
ajst-17929	14	18	workpiece	workpiece	NOUN
ajst-17929	14	19	surface	surface	NOUN
ajst-17929	14	20	texture	texture	NOUN
ajst-17929	14	21	and	and	CCONJ
ajst-17929	14	22	other	other	ADJ
ajst-17929	14	23	related	related	ADJ
ajst-17929	14	24	physical	physical	ADJ
ajst-17929	14	25	quantities	quantity	NOUN
ajst-17929	14	26	caused	cause	VERB
ajst-17929	14	27	by	by	ADP
ajst-17929	14	28	tool	tool	NOUN
ajst-17929	14	29	wear	wear	VERB
ajst-17929	14	30	through	through	ADP
ajst-17929	14	31	sensors	sensor	NOUN
ajst-17929	14	32	,	,	PUNCT
ajst-17929	14	33	so	so	SCONJ
ajst-17929	14	34	as	as	SCONJ
ajst-17929	14	35	to	to	PART
ajst-17929	14	36	measure	measure	VERB
ajst-17929	14	37	the	the	DET
ajst-17929	14	38	tool	tool	NOUN
ajst-17929	14	39	indirectly	indirectly	ADV
ajst-17929	14	40	.	.	PUNCT
ajst-17929	15	1	the	the	DET
ajst-17929	15	2	indirect	indirect	ADJ
ajst-17929	15	3	measurement	measurement	NOUN
ajst-17929	15	4	method	method	NOUN
ajst-17929	15	5	has	have	VERB
ajst-17929	15	6	some	some	DET
ajst-17929	15	7	disadvantages	disadvantage	NOUN
ajst-17929	15	8	:	:	PUNCT
ajst-17929	15	9	first	first	ADV
ajst-17929	15	10	,	,	PUNCT
ajst-17929	15	11	to	to	PART
ajst-17929	15	12	obtain	obtain	VERB
ajst-17929	15	13	the	the	DET
ajst-17929	15	14	characteristics	characteristic	NOUN
ajst-17929	15	15	of	of	ADP
ajst-17929	15	16	tool	tool	NOUN
ajst-17929	15	17	wear	wear	VERB
ajst-17929	15	18	from	from	ADP
ajst-17929	15	19	the	the	DET
ajst-17929	15	20	signal	signal	NOUN
ajst-17929	15	21	requires	require	VERB
ajst-17929	15	22	the	the	DET
ajst-17929	15	23	operator	operator	NOUN
ajst-17929	15	24	to	to	PART
ajst-17929	15	25	know	know	VERB
ajst-17929	15	26	the	the	DET
ajst-17929	15	27	relevant	relevant	ADJ
ajst-17929	15	28	domain	domain	NOUN
ajst-17929	15	29	knowledge	knowledge	NOUN
ajst-17929	15	30	;	;	PUNCT
ajst-17929	15	31	secondly	secondly	ADV
ajst-17929	15	32	,	,	PUNCT
ajst-17929	15	33	sensor	sensor	NOUN
ajst-17929	15	34	-	-	PUNCT
ajst-17929	15	35	based	base	VERB
ajst-17929	15	36	tool	tool	NOUN
ajst-17929	15	37	detection	detection	NOUN
ajst-17929	15	38	devices	device	NOUN
ajst-17929	15	39	are	be	AUX
ajst-17929	15	40	often	often	ADV
ajst-17929	15	41	only	only	ADV
ajst-17929	15	42	applicable	applicable	ADJ
ajst-17929	15	43	to	to	ADP
ajst-17929	15	44	a	a	DET
ajst-17929	15	45	certain	certain	ADJ
ajst-17929	15	46	type	type	NOUN
ajst-17929	15	47	or	or	CCONJ
ajst-17929	15	48	type	type	NOUN
ajst-17929	15	49	of	of	ADP
ajst-17929	15	50	tool	tool	NOUN
ajst-17929	15	51	,	,	PUNCT
ajst-17929	15	52	and	and	CCONJ
ajst-17929	15	53	the	the	DET
ajst-17929	15	54	generalization	generalization	NOUN
ajst-17929	15	55	is	be	AUX
ajst-17929	15	56	poor	poor	ADJ
ajst-17929	15	57	and	and	CCONJ
ajst-17929	15	58	the	the	DET
ajst-17929	15	59	signal	signal	NOUN
ajst-17929	15	60	detected	detect	VERB
ajst-17929	15	61	by	by	ADP
ajst-17929	15	62	the	the	DET
ajst-17929	15	63	sensor	sensor	NOUN
ajst-17929	15	64	is	be	AUX
ajst-17929	15	65	doped	dope	VERB
ajst-17929	15	66	with	with	ADP
ajst-17929	15	67	a	a	DET
ajst-17929	15	68	large	large	ADJ
ajst-17929	15	69	number	number	NOUN
ajst-17929	15	70	of	of	ADP
ajst-17929	15	71	interference	interference	NOUN
ajst-17929	15	72	signals	signal	NOUN
ajst-17929	15	73	,	,	PUNCT
ajst-17929	15	74	which	which	PRON
ajst-17929	15	75	will	will	AUX
ajst-17929	15	76	affect	affect	VERB
ajst-17929	15	77	the	the	DET
ajst-17929	15	78	test	test	NOUN
ajst-17929	15	79	results	result	NOUN
ajst-17929	15	80	[	[	X
ajst-17929	15	81	1	1	NUM
ajst-17929	15	82	]	]	PUNCT
ajst-17929	15	83	.	.	PUNCT
ajst-17929	16	1	the	the	DET
ajst-17929	16	2	direct	direct	ADJ
ajst-17929	16	3	method	method	NOUN
ajst-17929	16	4	is	be	AUX
ajst-17929	16	5	to	to	PART
ajst-17929	16	6	detect	detect	VERB
ajst-17929	16	7	the	the	DET
ajst-17929	16	8	defect	defect	NOUN
ajst-17929	16	9	directly	directly	ADV
ajst-17929	16	10	on	on	ADP
ajst-17929	16	11	the	the	DET
ajst-17929	16	12	image	image	NOUN
ajst-17929	16	13	of	of	ADP
ajst-17929	16	14	the	the	DET
ajst-17929	16	15	tool	tool	NOUN
ajst-17929	16	16	.	.	PUNCT
ajst-17929	17	1	ye	ye	PRON
ajst-17929	17	2	zukun	zukun	NOUN
ajst-17929	17	3	et	et	PROPN
ajst-17929	17	4	al	al	PROPN
ajst-17929	17	5	.	.	PUNCT
ajst-17929	18	1	[	[	X
ajst-17929	18	2	2	2	X
ajst-17929	18	3	]	]	PUNCT
ajst-17929	18	4	proposed	propose	VERB
ajst-17929	18	5	a	a	DET
ajst-17929	18	6	damage	damage	NOUN
ajst-17929	18	7	detection	detection	NOUN
ajst-17929	18	8	method	method	NOUN
ajst-17929	18	9	based	base	VERB
ajst-17929	18	10	on	on	ADP
ajst-17929	18	11	local	local	ADJ
ajst-17929	18	12	threshold	threshold	NOUN
ajst-17929	18	13	segmentation	segmentation	NOUN
ajst-17929	18	14	.	.	PUNCT
ajst-17929	19	1	the	the	DET
ajst-17929	19	2	whole	whole	ADJ
ajst-17929	19	3	image	image	NOUN
ajst-17929	19	4	is	be	AUX
ajst-17929	19	5	divided	divide	VERB
ajst-17929	19	6	into	into	ADP
ajst-17929	19	7	many	many	ADJ
ajst-17929	19	8	small	small	ADJ
ajst-17929	19	9	pixel	pixel	NOUN
ajst-17929	19	10	blocks	block	NOUN
ajst-17929	19	11	,	,	PUNCT
ajst-17929	19	12	the	the	DET
ajst-17929	19	13	segmentation	segmentation	NOUN
ajst-17929	19	14	threshold	threshold	NOUN
ajst-17929	19	15	of	of	ADP
ajst-17929	19	16	each	each	DET
ajst-17929	19	17	pixel	pixel	NOUN
ajst-17929	19	18	block	block	NOUN
ajst-17929	19	19	is	be	AUX
ajst-17929	19	20	obtained	obtain	VERB
ajst-17929	19	21	,	,	PUNCT
ajst-17929	19	22	and	and	CCONJ
ajst-17929	19	23	the	the	DET
ajst-17929	19	24	whole	whole	ADJ
ajst-17929	19	25	pixel	pixel	NOUN
ajst-17929	19	26	is	be	AUX
ajst-17929	19	27	scanned	scan	VERB
ajst-17929	19	28	according	accord	VERB
ajst-17929	19	29	to	to	ADP
ajst-17929	19	30	the	the	DET
ajst-17929	19	31	maximum	maximum	ADJ
ajst-17929	19	32	segmentation	segmentation	NOUN
ajst-17929	19	33	threshold	threshold	NOUN
ajst-17929	19	34	,	,	PUNCT
ajst-17929	19	35	and	and	CCONJ
ajst-17929	19	36	the	the	DET
ajst-17929	19	37	tool	tool	NOUN
ajst-17929	19	38	damage	damage	NOUN
ajst-17929	19	39	location	location	NOUN
ajst-17929	19	40	is	be	AUX
ajst-17929	19	41	obtained	obtain	VERB
ajst-17929	19	42	.	.	PUNCT
ajst-17929	20	1	however	however	ADV
ajst-17929	20	2	,	,	PUNCT
ajst-17929	20	3	due	due	ADP
ajst-17929	20	4	to	to	ADP
ajst-17929	20	5	the	the	DET
ajst-17929	20	6	complex	complex	ADJ
ajst-17929	20	7	surface	surface	NOUN
ajst-17929	20	8	texture	texture	NOUN
ajst-17929	20	9	of	of	ADP
ajst-17929	20	10	the	the	DET
ajst-17929	20	11	tool	tool	NOUN
ajst-17929	20	12	,	,	PUNCT
ajst-17929	20	13	the	the	DET
ajst-17929	20	14	acquired	acquire	VERB
ajst-17929	20	15	tool	tool	NOUN
ajst-17929	20	16	image	image	NOUN
ajst-17929	20	17	contains	contain	VERB
ajst-17929	20	18	a	a	DET
ajst-17929	20	19	lot	lot	NOUN
ajst-17929	20	20	of	of	ADP
ajst-17929	20	21	noise	noise	NOUN
ajst-17929	20	22	,	,	PUNCT
ajst-17929	20	23	which	which	PRON
ajst-17929	20	24	is	be	AUX
ajst-17929	20	25	easy	easy	ADJ
ajst-17929	20	26	to	to	PART
ajst-17929	20	27	select	select	VERB
ajst-17929	20	28	the	the	DET
ajst-17929	20	29	noise	noise	NOUN
ajst-17929	20	30	as	as	ADP
ajst-17929	20	31	the	the	DET
ajst-17929	20	32	segmentation	segmentation	NOUN
ajst-17929	20	33	threshold	threshold	NOUN
ajst-17929	20	34	and	and	CCONJ
ajst-17929	20	35	lose	lose	VERB
ajst-17929	20	36	the	the	DET
ajst-17929	20	37	damage	damage	NOUN
ajst-17929	20	38	location	location	NOUN
ajst-17929	20	39	information	information	NOUN
ajst-17929	20	40	.	.	PUNCT
ajst-17929	21	1	deng	deng	PROPN
ajst-17929	21	2	xiaopeng	xiaopeng	PROPN
ajst-17929	21	3	et	et	PROPN
ajst-17929	21	4	al	al	PROPN
ajst-17929	21	5	.	.	PUNCT
ajst-17929	22	1	[	[	X
ajst-17929	22	2	3	3	NUM
ajst-17929	22	3	]	]	PUNCT
ajst-17929	22	4	combined	combined	ADJ
ajst-17929	22	5	otsu	otsu	NOUN
ajst-17929	22	6	algorithm	algorithm	NOUN
ajst-17929	22	7	and	and	CCONJ
ajst-17929	22	8	region	region	NOUN
ajst-17929	22	9	growth	growth	NOUN
ajst-17929	22	10	method	method	NOUN
ajst-17929	22	11	to	to	PART
ajst-17929	22	12	propose	propose	VERB
ajst-17929	22	13	an	an	DET
ajst-17929	22	14	adaptive	adaptive	ADJ
ajst-17929	22	15	regional	regional	ADJ
ajst-17929	22	16	growth	growth	NOUN
ajst-17929	22	17	defect	defect	NOUN
ajst-17929	22	18	detection	detection	NOUN
ajst-17929	22	19	method	method	NOUN
ajst-17929	22	20	,	,	PUNCT
ajst-17929	22	21	which	which	PRON
ajst-17929	22	22	can	can	AUX
ajst-17929	22	23	automatically	automatically	ADV
ajst-17929	22	24	locate	locate	VERB
ajst-17929	22	25	the	the	DET
ajst-17929	22	26	tool	tool	NOUN
ajst-17929	22	27	wear	wear	VERB
ajst-17929	22	28	area	area	NOUN
ajst-17929	22	29	and	and	CCONJ
ajst-17929	22	30	identify	identify	VERB
ajst-17929	22	31	the	the	DET
ajst-17929	22	32	size	size	NOUN
ajst-17929	22	33	of	of	ADP
ajst-17929	22	34	tool	tool	NOUN
ajst-17929	22	35	damage	damage	NOUN
ajst-17929	22	36	.	.	PUNCT
ajst-17929	23	1	however	however	ADV
ajst-17929	23	2	,	,	PUNCT
ajst-17929	23	3	otsu	otsu	ADJ
ajst-17929	23	4	algorithm	algorithm	NOUN
ajst-17929	23	5	is	be	AUX
ajst-17929	23	6	susceptible	susceptible	ADJ
ajst-17929	23	7	to	to	ADP
ajst-17929	23	8	the	the	DET
ajst-17929	23	9	influence	influence	NOUN
ajst-17929	23	10	of	of	ADP
ajst-17929	23	11	tool	tool	NOUN
ajst-17929	23	12	texture	texture	NOUN
ajst-17929	23	13	and	and	CCONJ
ajst-17929	23	14	reflection	reflection	NOUN
ajst-17929	23	15	,	,	PUNCT
ajst-17929	23	16	resulting	result	VERB
ajst-17929	23	17	in	in	ADP
ajst-17929	23	18	difficulty	difficulty	NOUN
ajst-17929	23	19	in	in	ADP
ajst-17929	23	20	locating	locate	VERB
ajst-17929	23	21	the	the	DET
ajst-17929	23	22	tool	tool	NOUN
ajst-17929	23	23	defect	defect	NOUN
ajst-17929	23	24	location	location	NOUN
ajst-17929	23	25	.	.	PUNCT
ajst-17929	24	1	zhou	zhou	PROPN
ajst-17929	24	2	junjie	junjie	PROPN
ajst-17929	25	1	[	[	X
ajst-17929	25	2	4	4	X
ajst-17929	25	3	]	]	PUNCT
ajst-17929	25	4	et	et	PROPN
ajst-17929	25	5	al	al	PROPN
ajst-17929	25	6	.	.	PROPN
ajst-17929	25	7	proposed	propose	VERB
ajst-17929	25	8	a	a	DET
ajst-17929	25	9	method	method	NOUN
ajst-17929	25	10	of	of	ADP
ajst-17929	25	11	edge	edge	NOUN
ajst-17929	25	12	detection	detection	NOUN
ajst-17929	25	13	followed	follow	VERB
ajst-17929	25	14	by	by	ADP
ajst-17929	25	15	pixel	pixel	PROPN
ajst-17929	25	16	detection	detection	NOUN
ajst-17929	25	17	.	.	PUNCT
ajst-17929	26	1	firstly	firstly	ADV
ajst-17929	26	2	,	,	PUNCT
ajst-17929	26	3	canny	canny	ADJ
ajst-17929	26	4	operator	operator	NOUN
ajst-17929	26	5	is	be	AUX
ajst-17929	26	6	used	use	VERB
ajst-17929	26	7	to	to	PART
ajst-17929	26	8	rough	rough	ADJ
ajst-17929	26	9	position	position	NOUN
ajst-17929	26	10	the	the	DET
ajst-17929	26	11	image	image	NOUN
ajst-17929	26	12	,	,	PUNCT
ajst-17929	26	13	then	then	ADV
ajst-17929	26	14	the	the	DET
ajst-17929	26	15	sub	sub	ADJ
ajst-17929	26	16	-	-	ADJ
ajst-17929	26	17	pixel	pixel	ADJ
ajst-17929	26	18	edge	edge	NOUN
ajst-17929	26	19	detection	detection	NOUN
ajst-17929	26	20	algorithm	algorithm	NOUN
ajst-17929	26	21	of	of	ADP
ajst-17929	26	22	zernike	zernike	ADJ
ajst-17929	26	23	moment	moment	NOUN
ajst-17929	26	24	is	be	AUX
ajst-17929	26	25	used	use	VERB
ajst-17929	26	26	to	to	PART
ajst-17929	26	27	improve	improve	VERB
ajst-17929	26	28	the	the	DET
ajst-17929	26	29	measurement	measurement	NOUN
ajst-17929	26	30	accuracy	accuracy	NOUN
ajst-17929	26	31	,	,	PUNCT
ajst-17929	26	32	and	and	CCONJ
ajst-17929	26	33	finally	finally	ADV
ajst-17929	26	34	the	the	DET
ajst-17929	26	35	pixel	pixel	PROPN
ajst-17929	26	36	points	point	NOUN
ajst-17929	26	37	are	be	AUX
ajst-17929	26	38	simulated	simulate	VERB
ajst-17929	26	39	to	to	PART
ajst-17929	26	40	complete	complete	VERB
ajst-17929	26	41	the	the	DET
ajst-17929	26	42	measurement	measurement	NOUN
ajst-17929	26	43	.	.	PUNCT
ajst-17929	27	1	however	however	ADV
ajst-17929	27	2	,	,	PUNCT
ajst-17929	27	3	this	this	DET
ajst-17929	27	4	method	method	NOUN
ajst-17929	27	5	is	be	AUX
ajst-17929	27	6	very	very	ADV
ajst-17929	27	7	sensitive	sensitive	ADJ
ajst-17929	27	8	to	to	ADP
ajst-17929	27	9	grayscale	grayscale	NOUN
ajst-17929	27	10	fluctuations	fluctuation	NOUN
ajst-17929	27	11	,	,	PUNCT
ajst-17929	27	12	and	and	CCONJ
ajst-17929	27	13	it	it	PRON
ajst-17929	27	14	is	be	AUX
ajst-17929	27	15	easy	easy	ADJ
ajst-17929	27	16	to	to	PART
ajst-17929	27	17	identify	identify	VERB
ajst-17929	27	18	the	the	DET
ajst-17929	27	19	inner	inner	ADJ
ajst-17929	27	20	texture	texture	NOUN
ajst-17929	27	21	of	of	ADP
ajst-17929	27	22	the	the	DET
ajst-17929	27	23	tool	tool	NOUN
ajst-17929	27	24	as	as	ADP
ajst-17929	27	25	the	the	DET
ajst-17929	27	26	boundary	boundary	ADJ
ajst-17929	27	27	information	information	NOUN
ajst-17929	27	28	,	,	PUNCT
ajst-17929	27	29	which	which	PRON
ajst-17929	27	30	affects	affect	VERB
ajst-17929	27	31	the	the	DET
ajst-17929	27	32	recognition	recognition	NOUN
ajst-17929	27	33	accuracy	accuracy	NOUN
ajst-17929	27	34	,	,	PUNCT
ajst-17929	27	35	and	and	CCONJ
ajst-17929	27	36	the	the	DET
ajst-17929	27	37	edge	edge	NOUN
ajst-17929	27	38	contour	contour	NOUN
ajst-17929	27	39	discontinuity	discontinuity	NOUN
ajst-17929	27	40	is	be	AUX
ajst-17929	27	41	easy	easy	ADJ
ajst-17929	27	42	to	to	PART
ajst-17929	27	43	occur	occur	VERB
ajst-17929	27	44	.	.	PUNCT
ajst-17929	28	1	li	li	PROPN
ajst-17929	28	2	shanshan	shanshan	PROPN
ajst-17929	28	3	et	et	PROPN
ajst-17929	28	4	al	al	PROPN
ajst-17929	28	5	.	.	PUNCT
ajst-17929	29	1	[	[	X
ajst-17929	29	2	5	5	NUM
ajst-17929	29	3	]	]	PUNCT
ajst-17929	29	4	obtained	obtain	VERB
ajst-17929	29	5	the	the	DET
ajst-17929	29	6	tool	tool	NOUN
ajst-17929	29	7	defect	defect	NOUN
ajst-17929	29	8	region	region	NOUN
ajst-17929	29	9	through	through	ADP
ajst-17929	29	10	the	the	DET
ajst-17929	29	11	region	region	NOUN
ajst-17929	29	12	growth	growth	NOUN
ajst-17929	29	13	method	method	NOUN
ajst-17929	29	14	,	,	PUNCT
ajst-17929	29	15	and	and	CCONJ
ajst-17929	29	16	obtained	obtain	VERB
ajst-17929	29	17	the	the	DET
ajst-17929	29	18	tool	tool	NOUN
ajst-17929	29	19	characteristic	characteristic	ADJ
ajst-17929	29	20	value	value	NOUN
ajst-17929	29	21	through	through	ADP
ajst-17929	29	22	the	the	DET
ajst-17929	29	23	minimum	minimum	ADJ
ajst-17929	29	24	external	external	ADJ
ajst-17929	29	25	matrix	matrix	NOUN
ajst-17929	29	26	.	.	PUNCT
ajst-17929	30	1	however	however	ADV
ajst-17929	30	2	,	,	PUNCT
ajst-17929	30	3	it	it	PRON
ajst-17929	30	4	is	be	AUX
ajst-17929	30	5	difficult	difficult	ADJ
ajst-17929	30	6	to	to	PART
ajst-17929	30	7	calculate	calculate	VERB
ajst-17929	30	8	the	the	DET
ajst-17929	30	9	damage	damage	NOUN
ajst-17929	30	10	amount	amount	NOUN
ajst-17929	30	11	accurately	accurately	ADV
ajst-17929	30	12	because	because	SCONJ
ajst-17929	30	13	the	the	DET
ajst-17929	30	14	gray	gray	ADJ
ajst-17929	30	15	value	value	NOUN
ajst-17929	30	16	of	of	ADP
ajst-17929	30	17	the	the	DET
ajst-17929	30	18	tool	tool	NOUN
ajst-17929	30	19	damage	damage	NOUN
ajst-17929	30	20	surface	surface	NOUN
ajst-17929	30	21	fluctuates	fluctuate	NOUN
ajst-17929	30	22	greatly	greatly	ADV
ajst-17929	30	23	.	.	PUNCT
ajst-17929	31	1	liu	liu	PROPN
ajst-17929	31	2	jianchun	jianchun	PROPN
ajst-17929	31	3	et	et	PROPN
ajst-17929	31	4	al	al	PROPN
ajst-17929	31	5	.	.	PUNCT
ajst-17929	32	1	[	[	X
ajst-17929	32	2	6	6	NUM
ajst-17929	32	3	]	]	PUNCT
ajst-17929	32	4	proposed	propose	VERB
ajst-17929	32	5	an	an	DET
ajst-17929	32	6	adaptive	adaptive	ADJ
ajst-17929	32	7	threshold	threshold	NOUN
ajst-17929	32	8	segmentation	segmentation	NOUN
ajst-17929	32	9	algorithm	algorithm	NOUN
ajst-17929	32	10	,	,	PUNCT
ajst-17929	32	11	which	which	PRON
ajst-17929	32	12	combined	combine	VERB
ajst-17929	32	13	collinear	collinear	ADJ
ajst-17929	32	14	contours	contours	NOUN
ajst-17929	32	15	to	to	PART
ajst-17929	32	16	fit	fit	VERB
ajst-17929	32	17	the	the	DET
ajst-17929	32	18	edge	edge	NOUN
ajst-17929	32	19	contour	contour	NOUN
ajst-17929	32	20	and	and	CCONJ
ajst-17929	32	21	extract	extract	VERB
ajst-17929	32	22	the	the	DET
ajst-17929	32	23	defect	defect	NOUN
ajst-17929	32	24	area	area	NOUN
ajst-17929	32	25	.	.	PUNCT
ajst-17929	33	1	however	however	ADV
ajst-17929	33	2	,	,	PUNCT
ajst-17929	33	3	due	due	ADP
ajst-17929	33	4	to	to	ADP
ajst-17929	33	5	the	the	DET
ajst-17929	33	6	small	small	ADJ
ajst-17929	33	7	defect	defect	NOUN
ajst-17929	33	8	area	area	NOUN
ajst-17929	33	9	of	of	ADP
ajst-17929	33	10	the	the	DET
ajst-17929	33	11	tool	tool	NOUN
ajst-17929	33	12	,	,	PUNCT
ajst-17929	33	13	it	it	PRON
ajst-17929	33	14	is	be	AUX
ajst-17929	33	15	easy	easy	ADJ
ajst-17929	33	16	to	to	PART
ajst-17929	33	17	identify	identify	VERB
ajst-17929	33	18	the	the	DET
ajst-17929	33	19	non	non	ADJ
ajst-17929	33	20	-	-	ADJ
ajst-17929	33	21	wear	wear	ADJ
ajst-17929	33	22	area	area	NOUN
ajst-17929	33	23	as	as	ADP
ajst-17929	33	24	the	the	DET
ajst-17929	33	25	wear	wear	NOUN
ajst-17929	33	26	area	area	NOUN
ajst-17929	33	27	.	.	PUNCT
ajst-17929	34	1	2	2	X
ajst-17929	34	2	.	.	X
ajst-17929	34	3	tool	tool	NOUN
ajst-17929	34	4	image	image	NOUN
ajst-17929	34	5	damage	damage	NOUN
ajst-17929	34	6	detection	detection	NOUN
ajst-17929	34	7	method	method	NOUN
ajst-17929	34	8	2.1	2.1	NUM
ajst-17929	34	9	.	.	PUNCT
ajst-17929	35	1	image	image	NOUN
ajst-17929	35	2	preprocessing	preprocesse	VERB
ajst-17929	35	3	2.1.1	2.1.1	NUM
ajst-17929	35	4	.	.	PUNCT
ajst-17929	36	1	image	image	NOUN
ajst-17929	36	2	graying	gray	VERB
ajst-17929	36	3	rgb	rgb	PROPN
ajst-17929	36	4	model	model	NOUN
ajst-17929	36	5	is	be	AUX
ajst-17929	36	6	a	a	DET
ajst-17929	36	7	color	color	NOUN
ajst-17929	36	8	model	model	NOUN
ajst-17929	36	9	defined	define	VERB
ajst-17929	36	10	according	accord	VERB
ajst-17929	36	11	to	to	ADP
ajst-17929	36	12	human	human	ADJ
ajst-17929	36	13	eye	eye	NOUN
ajst-17929	36	14	perception	perception	NOUN
ajst-17929	36	15	.	.	PUNCT
ajst-17929	37	1	rgb	rgb	PROPN
ajst-17929	37	2	model	model	PROPN
ajst-17929	37	3	converts	convert	VERB
ajst-17929	37	4	color	color	NOUN
ajst-17929	37	5	images	image	NOUN
ajst-17929	37	6	into	into	ADP
ajst-17929	37	7	8	8	NUM
ajst-17929	37	8	-	-	PUNCT
ajst-17929	37	9	bit	bit	NOUN
ajst-17929	37	10	gray	gray	ADJ
ajst-17929	37	11	images	image	NOUN
ajst-17929	37	12	according	accord	VERB
ajst-17929	37	13	to	to	ADP
ajst-17929	37	14	different	different	ADJ
ajst-17929	37	15	proportions	proportion	NOUN
ajst-17929	37	16	of	of	ADP
ajst-17929	37	17	threechannel	threechannel	NOUN
ajst-17929	37	18	pixel	pixel	PROPN
ajst-17929	37	19	values	value	NOUN
ajst-17929	37	20	.	.	PUNCT
ajst-17929	38	1	according	accord	VERB
ajst-17929	38	2	to	to	ADP
ajst-17929	38	3	experiments	experiment	NOUN
ajst-17929	38	4	,	,	PUNCT
ajst-17929	38	5	this	this	DET
ajst-17929	38	6	ratio	ratio	NOUN
ajst-17929	38	7	column	column	NOUN
ajst-17929	38	8	coefficient	coefficient	NOUN
ajst-17929	38	9	has	have	VERB
ajst-17929	38	10	the	the	DET
ajst-17929	38	11	best	good	ADJ
ajst-17929	38	12	effect	effect	NOUN
ajst-17929	38	13	in	in	ADP
ajst-17929	38	14	processing	processing	NOUN
ajst-17929	38	15	color	color	NOUN
ajst-17929	38	16	231	231	NUM
ajst-17929	38	17	images	image	NOUN
ajst-17929	38	18	[	[	X
ajst-17929	38	19	7	7	NUM
ajst-17929	38	20	]	]	PUNCT
ajst-17929	38	21	.	.	PUNCT
ajst-17929	39	1	r	r	X
ajst-17929	39	2	,	,	PUNCT
ajst-17929	39	3	g	g	NOUN
ajst-17929	39	4	and	and	CCONJ
ajst-17929	39	5	b	b	PROPN
ajst-17929	39	6	respectively	respectively	ADV
ajst-17929	39	7	represent	represent	VERB
ajst-17929	39	8	the	the	DET
ajst-17929	39	9	three	three	NUM
ajst-17929	39	10	color	color	NOUN
ajst-17929	39	11	components	component	NOUN
ajst-17929	39	12	of	of	ADP
ajst-17929	39	13	red	red	ADJ
ajst-17929	39	14	,	,	PUNCT
ajst-17929	39	15	green	green	ADJ
ajst-17929	39	16	and	and	CCONJ
ajst-17929	39	17	blue	blue	ADJ
ajst-17929	39	18	.	.	PUNCT
ajst-17929	40	1	in	in	ADP
ajst-17929	40	2	general	general	ADJ
ajst-17929	40	3	,	,	PUNCT
ajst-17929	40	4	,	,	PUNCT
ajst-17929	40	5	and	and	CCONJ
ajst-17929	40	6	the	the	DET
ajst-17929	40	7	formula	formula	NOUN
ajst-17929	40	8	is	be	AUX
ajst-17929	40	9	as	as	SCONJ
ajst-17929	40	10	follows	follow	VERB
ajst-17929	40	11	:	:	PUNCT
ajst-17929	40	12	0.299	0.299	NUM
ajst-17929	40	13	0.587	0.587	NUM
ajst-17929	40	14	0.114gray	0.114gray	NOUN
ajst-17929	41	1	r	r	NOUN
ajst-17929	41	2	g	g	PROPN
ajst-17929	41	3	b	b	PROPN
ajst-17929	41	4			PUNCT
ajst-17929	41	5			X
ajst-17929	41	6	(	(	PUNCT
ajst-17929	41	7	1	1	X
ajst-17929	41	8	)	)	PUNCT
ajst-17929	41	9	the	the	DET
ajst-17929	41	10	image	image	NOUN
ajst-17929	41	11	is	be	AUX
ajst-17929	41	12	imported	import	VERB
ajst-17929	41	13	into	into	ADP
ajst-17929	41	14	the	the	DET
ajst-17929	41	15	software	software	NOUN
ajst-17929	41	16	platform	platform	NOUN
ajst-17929	41	17	for	for	ADP
ajst-17929	41	18	gray	gray	ADJ
ajst-17929	41	19	level	level	NOUN
ajst-17929	41	20	conversion	conversion	NOUN
ajst-17929	41	21	,	,	PUNCT
ajst-17929	41	22	and	and	CCONJ
ajst-17929	41	23	the	the	DET
ajst-17929	41	24	original	original	ADJ
ajst-17929	41	25	image	image	NOUN
ajst-17929	41	26	is	be	AUX
ajst-17929	41	27	taken	take	VERB
ajst-17929	41	28	on	on	ADP
ajst-17929	41	29	the	the	DET
ajst-17929	41	30	experimental	experimental	ADJ
ajst-17929	41	31	platform	platform	NOUN
ajst-17929	41	32	.	.	PUNCT
ajst-17929	42	1	the	the	DET
ajst-17929	42	2	image	image	NOUN
ajst-17929	42	3	before	before	ADP
ajst-17929	42	4	conversion	conversion	NOUN
ajst-17929	42	5	is	be	AUX
ajst-17929	42	6	shown	show	VERB
ajst-17929	42	7	in	in	ADP
ajst-17929	42	8	figure	figure	NOUN
ajst-17929	42	9	a	a	PRON
ajst-17929	42	10	)	)	PUNCT
ajst-17929	42	11	,	,	PUNCT
ajst-17929	42	12	and	and	CCONJ
ajst-17929	42	13	the	the	DET
ajst-17929	42	14	effect	effect	NOUN
ajst-17929	42	15	of	of	ADP
ajst-17929	42	16	the	the	DET
ajst-17929	42	17	tool	tool	NOUN
ajst-17929	42	18	after	after	SCONJ
ajst-17929	42	19	gray	gray	ADJ
ajst-17929	42	20	level	level	NOUN
ajst-17929	42	21	conversion	conversion	NOUN
ajst-17929	42	22	is	be	AUX
ajst-17929	42	23	shown	show	VERB
ajst-17929	42	24	in	in	ADP
ajst-17929	42	25	figure	figure	NOUN
ajst-17929	42	26	b	b	PROPN
ajst-17929	42	27	)	)	PUNCT
ajst-17929	42	28	.	.	PUNCT
ajst-17929	43	1	a	a	DET
ajst-17929	43	2	)	)	PUNCT
ajst-17929	43	3	tool	tool	NOUN
ajst-17929	43	4	raw	raw	ADJ
ajst-17929	43	5	image	image	NOUN
ajst-17929	43	6	b	b	NOUN
ajst-17929	43	7	)	)	PUNCT
ajst-17929	43	8	tool	tool	NOUN
ajst-17929	43	9	gray	gray	ADJ
ajst-17929	43	10	image	image	NOUN
ajst-17929	43	11	figure	figure	NOUN
ajst-17929	43	12	1	1	NUM
ajst-17929	43	13	.	.	PUNCT
ajst-17929	44	1	image	image	NOUN
ajst-17929	44	2	graying	gray	VERB
ajst-17929	44	3	2.1.2	2.1.2	NUM
ajst-17929	44	4	.	.	PUNCT
ajst-17929	44	5	sub	sub	NOUN
ajst-17929	44	6	heading	head	VERB
ajst-17929	44	7	in	in	ADP
ajst-17929	44	8	the	the	DET
ajst-17929	44	9	process	process	NOUN
ajst-17929	44	10	of	of	ADP
ajst-17929	44	11	image	image	NOUN
ajst-17929	44	12	acquisition	acquisition	NOUN
ajst-17929	44	13	,	,	PUNCT
ajst-17929	44	14	transmission	transmission	NOUN
ajst-17929	44	15	and	and	CCONJ
ajst-17929	44	16	compression	compression	NOUN
ajst-17929	44	17	,	,	PUNCT
ajst-17929	44	18	the	the	DET
ajst-17929	44	19	camera	camera	NOUN
ajst-17929	44	20	will	will	AUX
ajst-17929	44	21	be	be	AUX
ajst-17929	44	22	affected	affect	VERB
ajst-17929	44	23	by	by	ADP
ajst-17929	44	24	light	light	NOUN
ajst-17929	44	25	,	,	PUNCT
ajst-17929	44	26	which	which	PRON
ajst-17929	44	27	will	will	AUX
ajst-17929	44	28	lead	lead	VERB
ajst-17929	44	29	to	to	ADP
ajst-17929	44	30	the	the	DET
ajst-17929	44	31	acquisition	acquisition	NOUN
ajst-17929	44	32	of	of	ADP
ajst-17929	44	33	images	image	NOUN
ajst-17929	44	34	containing	contain	VERB
ajst-17929	44	35	noise	noise	NOUN
ajst-17929	44	36	,	,	PUNCT
ajst-17929	44	37	noise	noise	NOUN
ajst-17929	44	38	will	will	AUX
ajst-17929	44	39	lead	lead	VERB
ajst-17929	44	40	to	to	ADP
ajst-17929	44	41	the	the	DET
ajst-17929	44	42	loss	loss	NOUN
ajst-17929	44	43	of	of	ADP
ajst-17929	44	44	key	key	ADJ
ajst-17929	44	45	information	information	NOUN
ajst-17929	44	46	in	in	ADP
ajst-17929	44	47	the	the	DET
ajst-17929	44	48	image	image	NOUN
ajst-17929	44	49	,	,	PUNCT
ajst-17929	44	50	and	and	CCONJ
ajst-17929	44	51	noise	noise	NOUN
ajst-17929	44	52	may	may	AUX
ajst-17929	44	53	bring	bring	VERB
ajst-17929	44	54	certain	certain	ADJ
ajst-17929	44	55	interference	interference	NOUN
ajst-17929	44	56	to	to	ADP
ajst-17929	44	57	the	the	DET
ajst-17929	44	58	identification	identification	NOUN
ajst-17929	44	59	of	of	ADP
ajst-17929	44	60	defects	defect	NOUN
ajst-17929	44	61	.	.	PUNCT
ajst-17929	45	1	the	the	DET
ajst-17929	45	2	function	function	NOUN
ajst-17929	45	3	of	of	ADP
ajst-17929	45	4	image	image	NOUN
ajst-17929	45	5	filtering	filtering	NOUN
ajst-17929	45	6	is	be	AUX
ajst-17929	45	7	to	to	PART
ajst-17929	45	8	eliminate	eliminate	VERB
ajst-17929	45	9	the	the	DET
ajst-17929	45	10	noise	noise	NOUN
ajst-17929	45	11	in	in	ADP
ajst-17929	45	12	the	the	DET
ajst-17929	45	13	image	image	NOUN
ajst-17929	45	14	and	and	CCONJ
ajst-17929	45	15	dilute	dilute	VERB
ajst-17929	45	16	the	the	DET
ajst-17929	45	17	irrelevant	irrelevant	ADJ
ajst-17929	45	18	information	information	NOUN
ajst-17929	45	19	,	,	PUNCT
ajst-17929	45	20	retain	retain	VERB
ajst-17929	45	21	the	the	DET
ajst-17929	45	22	effective	effective	ADJ
ajst-17929	45	23	information	information	NOUN
ajst-17929	45	24	in	in	ADP
ajst-17929	45	25	the	the	DET
ajst-17929	45	26	image	image	NOUN
ajst-17929	45	27	,	,	PUNCT
ajst-17929	45	28	and	and	CCONJ
ajst-17929	45	29	improve	improve	VERB
ajst-17929	45	30	the	the	DET
ajst-17929	45	31	signal	signal	NOUN
ajst-17929	45	32	-	-	PUNCT
ajst-17929	45	33	tonoise	tonoise	NOUN
ajst-17929	45	34	ratio	ratio	NOUN
ajst-17929	45	35	so	so	SCONJ
ajst-17929	45	36	it	it	PRON
ajst-17929	45	37	is	be	AUX
ajst-17929	45	38	necessary	necessary	ADJ
ajst-17929	45	39	to	to	PART
ajst-17929	45	40	use	use	VERB
ajst-17929	45	41	the	the	DET
ajst-17929	45	42	mean	mean	ADJ
ajst-17929	45	43	filtering	filter	VERB
ajst-17929	45	44	algorithm	algorithm	NOUN
ajst-17929	45	45	to	to	PART
ajst-17929	45	46	eliminate	eliminate	VERB
ajst-17929	45	47	the	the	DET
ajst-17929	45	48	noise	noise	NOUN
ajst-17929	45	49	and	and	CCONJ
ajst-17929	45	50	smooth	smooth	VERB
ajst-17929	45	51	the	the	DET
ajst-17929	45	52	image	image	NOUN
ajst-17929	45	53	the	the	DET
ajst-17929	45	54	mean	mean	ADJ
ajst-17929	45	55	filtering	filter	VERB
ajst-17929	45	56	algorithm	algorithm	NOUN
ajst-17929	45	57	is	be	AUX
ajst-17929	45	58	a	a	DET
ajst-17929	45	59	method	method	NOUN
ajst-17929	45	60	to	to	PART
ajst-17929	45	61	smooth	smooth	VERB
ajst-17929	45	62	the	the	DET
ajst-17929	45	63	image	image	NOUN
ajst-17929	45	64	contour	contour	NOUN
ajst-17929	45	65	.	.	PUNCT
ajst-17929	46	1	the	the	DET
ajst-17929	46	2	algorithm	algorithm	NOUN
ajst-17929	46	3	sets	set	VERB
ajst-17929	46	4	a	a	DET
ajst-17929	46	5	window	window	NOUN
ajst-17929	46	6	(	(	PUNCT
ajst-17929	46	7	2a+1)(2b+1	2a+1)(2b+1	NOUN
ajst-17929	46	8	)	)	PUNCT
ajst-17929	46	9	,	,	PUNCT
ajst-17929	46	10	sets	set	VERB
ajst-17929	46	11	each	each	DET
ajst-17929	46	12	pixel	pixel	NOUN
ajst-17929	46	13	on	on	ADP
ajst-17929	46	14	the	the	DET
ajst-17929	46	15	image	image	NOUN
ajst-17929	46	16	as	as	ADP
ajst-17929	46	17	the	the	DET
ajst-17929	46	18	center	center	ADJ
ajst-17929	46	19	point	point	NOUN
ajst-17929	46	20	of	of	ADP
ajst-17929	46	21	the	the	DET
ajst-17929	46	22	window	window	NOUN
ajst-17929	46	23	for	for	ADP
ajst-17929	46	24	traversal	traversal	NOUN
ajst-17929	46	25	,	,	PUNCT
ajst-17929	46	26	and	and	CCONJ
ajst-17929	46	27	assigns	assign	VERB
ajst-17929	46	28	a	a	DET
ajst-17929	46	29	value	value	NOUN
ajst-17929	46	30	to	to	ADP
ajst-17929	46	31	the	the	DET
ajst-17929	46	32	center	center	NOUN
ajst-17929	46	33	pixel	pixel	VERB
ajst-17929	46	34	with	with	ADP
ajst-17929	46	35	the	the	DET
ajst-17929	46	36	median	median	ADJ
ajst-17929	46	37	value	value	NOUN
ajst-17929	46	38	of	of	ADP
ajst-17929	46	39	the	the	DET
ajst-17929	46	40	pixel	pixel	PROPN
ajst-17929	46	41	proximity	proximity	NOUN
ajst-17929	46	42	.	.	PUNCT
ajst-17929	47	1	the	the	DET
ajst-17929	47	2	average	average	ADJ
ajst-17929	47	3	value	value	NOUN
ajst-17929	47	4	of	of	ADP
ajst-17929	47	5	each	each	DET
ajst-17929	47	6	window	window	NOUN
ajst-17929	47	7	pixel	pixel	NOUN
ajst-17929	47	8	is	be	AUX
ajst-17929	47	9	:	:	PUNCT
ajst-17929	47	10	(	(	PUNCT
ajst-17929	47	11	,	,	PUNCT
ajst-17929	47	12	)	)	PUNCT
ajst-17929	47	13	(	(	PUNCT
ajst-17929	47	14	,	,	PUNCT
ajst-17929	47	15	)	)	PUNCT
ajst-17929	47	16	1	1	NUM
ajst-17929	47	17	'	'	PUNCT
ajst-17929	47	18	(	(	PUNCT
ajst-17929	47	19	2	2	NUM
ajst-17929	47	20	1)(2	1)(2	NUM
ajst-17929	47	21	1	1	NUM
ajst-17929	47	22	)	)	PUNCT
ajst-17929	47	23	a	a	DET
ajst-17929	47	24	b	b	NOUN
ajst-17929	47	25	r	r	NOUN
ajst-17929	47	26	h	h	NOUN
ajst-17929	48	1	r	r	NOUN
ajst-17929	49	1	i	i	PRON
ajst-17929	49	2	h	h	VERB
ajst-17929	50	1	j	j	NOUN
ajst-17929	50	2	i	i	PRON
ajst-17929	50	3	a	a	PRON
ajst-17929	50	4	j	j	PROPN
ajst-17929	50	5	b	b	PROPN
ajst-17929	50	6	g	g	PROPN
ajst-17929	50	7	g	g	PROPN
ajst-17929	50	8	a	a	DET
ajst-17929	50	9	b	b	PROPN
ajst-17929	50	10			PROPN
ajst-17929	50	11			PROPN
ajst-17929	50	12			PROPN
ajst-17929	50	13			PROPN
ajst-17929	50	14			PROPN
ajst-17929	50	15			ADV
ajst-17929	50	16			PUNCT
ajst-17929	50	17			X
ajst-17929	50	18			X
ajst-17929	50	19	(	(	PUNCT
ajst-17929	50	20	2	2	NUM
ajst-17929	50	21	)	)	PUNCT
ajst-17929	50	22	where	where	SCONJ
ajst-17929	50	23	,	,	PUNCT
ajst-17929	50	24	g	g	PROPN
ajst-17929	50	25	(	(	PUNCT
ajst-17929	50	26	r	r	NOUN
ajst-17929	50	27	,	,	PUNCT
ajst-17929	50	28	h	h	NOUN
ajst-17929	50	29	)	)	PUNCT
ajst-17929	50	30	is	be	AUX
ajst-17929	50	31	the	the	DET
ajst-17929	50	32	average	average	ADJ
ajst-17929	50	33	gray	gray	ADJ
ajst-17929	50	34	value	value	NOUN
ajst-17929	50	35	of	of	ADP
ajst-17929	50	36	each	each	DET
ajst-17929	50	37	pixel	pixel	NOUN
ajst-17929	50	38	in	in	ADP
ajst-17929	50	39	the	the	DET
ajst-17929	50	40	window	window	NOUN
ajst-17929	50	41	,	,	PUNCT
ajst-17929	50	42	and	and	CCONJ
ajst-17929	50	43	g	g	NOUN
ajst-17929	50	44	'	'	PUNCT
ajst-17929	50	45	(	(	PUNCT
ajst-17929	50	46	r	r	X
ajst-17929	50	47	-	-	PUNCT
ajst-17929	50	48	i	i	PROPN
ajst-17929	50	49	,	,	PUNCT
ajst-17929	50	50	h	h	PROPN
ajst-17929	50	51	-	-	PUNCT
ajst-17929	50	52	j	j	NOUN
ajst-17929	50	53	)	)	PUNCT
ajst-17929	50	54	is	be	AUX
ajst-17929	50	55	the	the	DET
ajst-17929	50	56	gray	gray	ADJ
ajst-17929	50	57	value	value	NOUN
ajst-17929	50	58	of	of	ADP
ajst-17929	50	59	each	each	DET
ajst-17929	50	60	pixel	pixel	NOUN
ajst-17929	50	61	in	in	ADP
ajst-17929	50	62	the	the	DET
ajst-17929	50	63	window	window	NOUN
ajst-17929	50	64	.	.	PUNCT
ajst-17929	51	1	2.2	2.2	NUM
ajst-17929	51	2	.	.	PUNCT
ajst-17929	52	1	otsu	otsu	NOUN
ajst-17929	52	2	threshold	threshold	PROPN
ajst-17929	52	3	segmentation	segmentation	NOUN
ajst-17929	52	4	method	method	NOUN
ajst-17929	52	5	.	.	PUNCT
ajst-17929	53	1	threshold	threshold	NOUN
ajst-17929	53	2	segmentation	segmentation	NOUN
ajst-17929	53	3	method	method	NOUN
ajst-17929	53	4	is	be	AUX
ajst-17929	53	5	a	a	DET
ajst-17929	53	6	common	common	ADJ
ajst-17929	53	7	image	image	NOUN
ajst-17929	53	8	segmentation	segmentation	NOUN
ajst-17929	53	9	method	method	NOUN
ajst-17929	53	10	,	,	PUNCT
ajst-17929	53	11	the	the	DET
ajst-17929	53	12	main	main	ADJ
ajst-17929	53	13	purpose	purpose	NOUN
ajst-17929	53	14	of	of	ADP
ajst-17929	53	15	threshold	threshold	NOUN
ajst-17929	53	16	segmentation	segmentation	NOUN
ajst-17929	53	17	is	be	AUX
ajst-17929	53	18	to	to	PART
ajst-17929	53	19	classify	classify	VERB
ajst-17929	53	20	each	each	DET
ajst-17929	53	21	pixel	pixel	NOUN
ajst-17929	53	22	in	in	ADP
ajst-17929	53	23	the	the	DET
ajst-17929	53	24	image	image	NOUN
ajst-17929	53	25	through	through	ADP
ajst-17929	53	26	the	the	DET
ajst-17929	53	27	difference	difference	NOUN
ajst-17929	53	28	of	of	ADP
ajst-17929	53	29	pixel	pixel	PROPN
ajst-17929	53	30	gray	gray	ADJ
ajst-17929	53	31	value	value	NOUN
ajst-17929	53	32	,	,	PUNCT
ajst-17929	53	33	and	and	CCONJ
ajst-17929	53	34	realize	realize	VERB
ajst-17929	53	35	the	the	DET
ajst-17929	53	36	distinction	distinction	NOUN
ajst-17929	53	37	between	between	ADP
ajst-17929	53	38	background	background	NOUN
ajst-17929	53	39	and	and	CCONJ
ajst-17929	53	40	target	target	NOUN
ajst-17929	53	41	,	,	PUNCT
ajst-17929	53	42	so	so	SCONJ
ajst-17929	53	43	as	as	SCONJ
ajst-17929	53	44	to	to	PART
ajst-17929	53	45	extract	extract	VERB
ajst-17929	53	46	the	the	DET
ajst-17929	53	47	interesting	interesting	ADJ
ajst-17929	53	48	target	target	NOUN
ajst-17929	53	49	from	from	ADP
ajst-17929	53	50	the	the	DET
ajst-17929	53	51	image	image	NOUN
ajst-17929	53	52	.	.	PUNCT
ajst-17929	54	1	suppose	suppose	VERB
ajst-17929	54	2	an	an	DET
ajst-17929	54	3	image	image	NOUN
ajst-17929	54	4	has	have	VERB
ajst-17929	54	5	l	l	NOUN
ajst-17929	54	6	gray	gray	ADJ
ajst-17929	54	7	levels	level	NOUN
ajst-17929	54	8	,	,	PUNCT
ajst-17929	54	9	ni	ni	PROPN
ajst-17929	54	10	(	(	PUNCT
ajst-17929	54	11	0&lt	0&lt	NUM
ajst-17929	54	12	;	;	PUNCT
ajst-17929	54	13	i&lt	i&lt	NOUN
ajst-17929	54	14	;	;	PUNCT
ajst-17929	54	15	l-1	l-1	NUM
ajst-17929	54	16	)	)	PUNCT
ajst-17929	54	17	is	be	AUX
ajst-17929	54	18	the	the	DET
ajst-17929	54	19	number	number	NOUN
ajst-17929	54	20	of	of	ADP
ajst-17929	54	21	pixels	pixel	NOUN
ajst-17929	54	22	in	in	ADP
ajst-17929	54	23	different	different	ADJ
ajst-17929	54	24	gray	gray	ADJ
ajst-17929	54	25	levels	level	NOUN
ajst-17929	54	26	,	,	PUNCT
ajst-17929	54	27	then	then	ADV
ajst-17929	54	28	the	the	DET
ajst-17929	54	29	total	total	ADJ
ajst-17929	54	30	number	number	NOUN
ajst-17929	54	31	of	of	ADP
ajst-17929	54	32	pixels	pixel	NOUN
ajst-17929	54	33	n	n	PRON
ajst-17929	54	34	of	of	ADP
ajst-17929	54	35	the	the	DET
ajst-17929	54	36	image	image	NOUN
ajst-17929	54	37	is	be	AUX
ajst-17929	54	38	:	:	PUNCT
ajst-17929	54	39	1	1	NUM
ajst-17929	54	40	0	0	NUM
ajst-17929	54	41	l	l	NOUN
ajst-17929	55	1	i	i	PRON
ajst-17929	55	2	i	i	VERB
ajst-17929	55	3	n	n	CCONJ
ajst-17929	55	4	n	n	CCONJ
ajst-17929	55	5			VERB
ajst-17929	55	6			PROPN
ajst-17929	55	7			ADJ
ajst-17929	55	8			X
ajst-17929	55	9	(	(	PUNCT
ajst-17929	55	10	3	3	X
ajst-17929	55	11	)	)	PUNCT
ajst-17929	55	12	normalize	normalize	VERB
ajst-17929	55	13	the	the	DET
ajst-17929	55	14	grayscale	grayscale	NOUN
ajst-17929	55	15	histogram	histogram	NOUN
ajst-17929	55	16	:	:	PUNCT
ajst-17929	56	1	1	1	NUM
ajst-17929	56	2	0	0	NUM
ajst-17929	56	3	1	1	NUM
ajst-17929	56	4	l	l	NOUN
ajst-17929	57	1	i	i	PRON
ajst-17929	58	1	i	i	PRON
ajst-17929	58	2	p	p	X
ajst-17929	58	3			NOUN
ajst-17929	58	4			NUM
ajst-17929	58	5			PROPN
ajst-17929	58	6	(	(	PUNCT
ajst-17929	58	7	4	4	NUM
ajst-17929	58	8	)	)	PUNCT
ajst-17929	58	9	then	then	ADV
ajst-17929	58	10	the	the	DET
ajst-17929	58	11	probability	probability	NOUN
ajst-17929	58	12	that	that	SCONJ
ajst-17929	58	13	the	the	DET
ajst-17929	58	14	gray	gray	ADJ
ajst-17929	58	15	value	value	NOUN
ajst-17929	58	16	of	of	ADP
ajst-17929	58	17	the	the	DET
ajst-17929	58	18	pixel	pixel	NOUN
ajst-17929	58	19	in	in	ADP
ajst-17929	58	20	the	the	DET
ajst-17929	58	21	figure	figure	NOUN
ajst-17929	58	22	is	be	AUX
ajst-17929	58	23	i	i	PRON
ajst-17929	58	24	is	be	AUX
ajst-17929	58	25	:	:	PUNCT
ajst-17929	58	26	i	i	PRON
ajst-17929	58	27	i	i	VERB
ajst-17929	59	1	n	n	VERB
ajst-17929	59	2	p	p	NOUN
ajst-17929	60	1	n	n	ADV
ajst-17929	60	2			NUM
ajst-17929	60	3	(	(	PUNCT
ajst-17929	60	4	5	5	NUM
ajst-17929	60	5	)	)	PUNCT
ajst-17929	60	6	select	select	VERB
ajst-17929	60	7	a	a	DET
ajst-17929	60	8	threshold	threshold	NOUN
ajst-17929	60	9	value	value	NOUN
ajst-17929	60	10	k	k	NOUN
ajst-17929	60	11	,	,	PUNCT
ajst-17929	60	12	and	and	CCONJ
ajst-17929	60	13	divide	divide	VERB
ajst-17929	60	14	pixels	pixel	NOUN
ajst-17929	60	15	into	into	ADP
ajst-17929	60	16	two	two	NUM
ajst-17929	60	17	intervals	interval	NOUN
ajst-17929	60	18	x0	x0	PROPN
ajst-17929	60	19	and	and	CCONJ
ajst-17929	60	20	x1	x1	NUM
ajst-17929	60	21	according	accord	VERB
ajst-17929	60	22	to	to	ADP
ajst-17929	60	23	different	different	ADJ
ajst-17929	60	24	gray	gray	ADJ
ajst-17929	60	25	levels	level	NOUN
ajst-17929	60	26	.	.	PUNCT
ajst-17929	61	1	x0	x0	PROPN
ajst-17929	61	2	is	be	AUX
ajst-17929	61	3	the	the	DET
ajst-17929	61	4	pixel	pixel	NOUN
ajst-17929	61	5	with	with	ADP
ajst-17929	61	6	gray	gray	ADJ
ajst-17929	61	7	level	level	NOUN
ajst-17929	61	8	[	[	X
ajst-17929	61	9	0	0	NUM
ajst-17929	61	10	,	,	PUNCT
ajst-17929	61	11	k-1	k-1	PROPN
ajst-17929	61	12	]	]	PUNCT
ajst-17929	61	13	,	,	PUNCT
ajst-17929	61	14	and	and	CCONJ
ajst-17929	61	15	x1	x1	PROPN
ajst-17929	61	16	is	be	AUX
ajst-17929	61	17	the	the	DET
ajst-17929	61	18	pixel	pixel	NOUN
ajst-17929	61	19	with	with	ADP
ajst-17929	61	20	gray	gray	ADJ
ajst-17929	61	21	level	level	NOUN
ajst-17929	62	1	[	[	X
ajst-17929	62	2	k	k	NOUN
ajst-17929	62	3	,	,	PUNCT
ajst-17929	62	4	l-1	l-1	NOUN
ajst-17929	62	5	]	]	PUNCT
ajst-17929	62	6	.	.	PUNCT
ajst-17929	63	1	then	then	ADV
ajst-17929	63	2	the	the	DET
ajst-17929	63	3	probability	probability	NOUN
ajst-17929	63	4	of	of	ADP
ajst-17929	63	5	the	the	DET
ajst-17929	63	6	pixel	pixel	NOUN
ajst-17929	63	7	falling	fall	VERB
ajst-17929	63	8	into	into	ADP
ajst-17929	63	9	the	the	DET
ajst-17929	63	10	two	two	NUM
ajst-17929	63	11	intervals	interval	NOUN
ajst-17929	63	12	is	be	AUX
ajst-17929	63	13	:	:	PUNCT
ajst-17929	63	14	1	1	NUM
ajst-17929	63	15	1	1	NUM
ajst-17929	63	16	0	0	NUM
ajst-17929	63	17	1	1	NUM
ajst-17929	63	18	0	0	NUM
ajst-17929	63	19	0	0	NUM
ajst-17929	63	20	,	,	PUNCT
ajst-17929	63	21	1	1	NUM
ajst-17929	63	22	k	k	NOUN
ajst-17929	63	23	l	l	NOUN
ajst-17929	64	1	i	i	PRON
ajst-17929	64	2	i	i	PRON
ajst-17929	65	1	i	i	PRON
ajst-17929	65	2	i	i	VERB
ajst-17929	66	1	k	k	NOUN
ajst-17929	67	1	x	x	X
ajst-17929	67	2	p	p	X
ajst-17929	67	3	x	x	X
ajst-17929	67	4	p	p	X
ajst-17929	67	5	x	x	PUNCT
ajst-17929	67	6			PROPN
ajst-17929	67	7			NOUN
ajst-17929	67	8			NUM
ajst-17929	68	1			NUM
ajst-17929	69	1			PRON
ajst-17929	70	1			NUM
ajst-17929	70	2			NUM
ajst-17929	71	1			NOUN
ajst-17929	71	2			X
ajst-17929	71	3	(	(	PUNCT
ajst-17929	71	4	6	6	NUM
ajst-17929	71	5	)	)	PUNCT
ajst-17929	71	6	the	the	DET
ajst-17929	71	7	mean	mean	ADJ
ajst-17929	71	8	gray	gray	ADJ
ajst-17929	71	9	values	value	NOUN
ajst-17929	71	10	of	of	ADP
ajst-17929	71	11	x1	x1	PROPN
ajst-17929	71	12	and	and	CCONJ
ajst-17929	71	13	x2	x2	PROPN
ajst-17929	71	14	are	be	AUX
ajst-17929	71	15	:	:	PUNCT
ajst-17929	71	16	1	1	NUM
ajst-17929	71	17	1	1	NUM
ajst-17929	71	18	0	0	NUM
ajst-17929	71	19	1	1	NUM
ajst-17929	71	20	00	00	NUM
ajst-17929	71	21	1	1	NUM
ajst-17929	71	22	1	1	NUM
ajst-17929	71	23	1	1	NUM
ajst-17929	71	24	,	,	PUNCT
ajst-17929	71	25	k	k	PROPN
ajst-17929	72	1	l	l	NOUN
ajst-17929	73	1	i	i	PRON
ajst-17929	73	2	i	i	PRON
ajst-17929	74	1	i	i	PRON
ajst-17929	75	1	i	i	PRON
ajst-17929	75	2	k	k	INTJ
ajst-17929	75	3	ip	ip	VERB
ajst-17929	75	4	ip	ip	VERB
ajst-17929	75	5	x	x	SYM
ajst-17929	75	6	x	x	NOUN
ajst-17929	75	7			NOUN
ajst-17929	75	8			NOUN
ajst-17929	75	9			NOUN
ajst-17929	75	10			NOUN
ajst-17929	75	11			NUM
ajst-17929	76	1			NUM
ajst-17929	76	2			NUM
ajst-17929	76	3			X
ajst-17929	76	4			X
ajst-17929	76	5	(	(	PUNCT
ajst-17929	76	6	7	7	X
ajst-17929	76	7	)	)	PUNCT
ajst-17929	76	8	the	the	DET
ajst-17929	76	9	variance	variance	NOUN
ajst-17929	76	10	between	between	ADP
ajst-17929	76	11	x0	x0	PROPN
ajst-17929	76	12	and	and	CCONJ
ajst-17929	76	13	x1	x1	PROPN
ajst-17929	76	14	classes	class	NOUN
ajst-17929	76	15	is	be	AUX
ajst-17929	76	16	:	:	PUNCT
ajst-17929	76	17	2	2	NUM
ajst-17929	76	18	0	0	NUM
ajst-17929	76	19	0	0	NUM
ajst-17929	76	20	2	2	NUM
ajst-17929	76	21	2	2	NUM
ajst-17929	76	22	0	0	NUM
ajst-17929	76	23	1	1	NUM
ajst-17929	76	24	1	1	NUM
ajst-17929	76	25	1	1	NUM
ajst-17929	76	26	1	1	NUM
ajst-17929	76	27	0	0	NUM
ajst-17929	76	28	(	(	PUNCT
ajst-17929	76	29	)	)	PUNCT
ajst-17929	76	30	x	x	SYM
ajst-17929	76	31	x	x	PUNCT
ajst-17929	76	32	x	x	PUNCT
ajst-17929	76	33	x	x	SYM
ajst-17929	76	34			NOUN
ajst-17929	76	35			NOUN
ajst-17929	76	36			NOUN
ajst-17929	76	37			NOUN
ajst-17929	76	38			NOUN
ajst-17929	76	39			NOUN
ajst-17929	76	40			NOUN
ajst-17929	76	41			PROPN
ajst-17929	76	42			PROPN
ajst-17929	76	43			CCONJ
ajst-17929	76	44			PROPN
ajst-17929	76	45			PROPN
ajst-17929	76	46			PROPN
ajst-17929	76	47	（	（	PUNCT
ajst-17929	76	48	）	）	PUNCT
ajst-17929	77	1	（	（	PUNCT
ajst-17929	77	2	）	）	PUNCT
ajst-17929	78	1	(	(	PUNCT
ajst-17929	78	2	8)	8)	NUM
ajst-17929	78	3	the	the	DET
ajst-17929	78	4	classical	classical	ADJ
ajst-17929	78	5	otsu	otsu	NOUN
ajst-17929	78	6	segmentation	segmentation	NOUN
ajst-17929	78	7	method	method	NOUN
ajst-17929	78	8	is	be	AUX
ajst-17929	78	9	to	to	PART
ajst-17929	78	10	iterate	iterate	VERB
ajst-17929	78	11	the	the	DET
ajst-17929	78	12	value	value	NOUN
ajst-17929	78	13	of	of	ADP
ajst-17929	78	14	threshold	threshold	NOUN
ajst-17929	78	15	k	k	PROPN
ajst-17929	78	16	in	in	ADP
ajst-17929	78	17	the	the	DET
ajst-17929	78	18	gray	gray	ADJ
ajst-17929	78	19	level	level	NOUN
ajst-17929	78	20	in	in	ADP
ajst-17929	78	21	the	the	DET
ajst-17929	78	22	range	range	NOUN
ajst-17929	78	23	of	of	ADP
ajst-17929	78	24	[	[	X
ajst-17929	78	25	0	0	NUM
ajst-17929	78	26	,	,	PUNCT
ajst-17929	78	27	l-1	l-1	NUM
ajst-17929	78	28	]	]	PUNCT
ajst-17929	78	29	until	until	SCONJ
ajst-17929	78	30	the	the	DET
ajst-17929	78	31	optimal	optimal	ADJ
ajst-17929	78	32	segmentation	segmentation	NOUN
ajst-17929	78	33	threshold	threshold	NOUN
ajst-17929	78	34	is	be	AUX
ajst-17929	78	35	obtained	obtain	VERB
ajst-17929	78	36	.	.	PUNCT
ajst-17929	79	1	in	in	ADP
ajst-17929	79	2	this	this	DET
ajst-17929	79	3	paper	paper	NOUN
ajst-17929	79	4	,	,	PUNCT
ajst-17929	79	5	the	the	DET
ajst-17929	79	6	improved	improve	VERB
ajst-17929	79	7	particle	particle	NOUN
ajst-17929	79	8	swarm	swarm	NOUN
ajst-17929	79	9	optmization	optmization	NOUN
ajst-17929	79	10	algorithm	algorithm	NOUN
ajst-17929	79	11	is	be	AUX
ajst-17929	79	12	used	use	VERB
ajst-17929	79	13	to	to	PART
ajst-17929	79	14	optimize	optimize	VERB
ajst-17929	79	15	the	the	DET
ajst-17929	79	16	optimal	optimal	ADJ
ajst-17929	79	17	threshold	threshold	NOUN
ajst-17929	79	18	of	of	ADP
ajst-17929	79	19	otsu	otsu	ADJ
ajst-17929	79	20	algorithm	algorithm	NOUN
ajst-17929	79	21	,	,	PUNCT
ajst-17929	79	22	so	so	SCONJ
ajst-17929	79	23	as	as	SCONJ
ajst-17929	79	24	to	to	PART
ajst-17929	79	25	improve	improve	VERB
ajst-17929	79	26	the	the	DET
ajst-17929	79	27	convergence	convergence	NOUN
ajst-17929	79	28	speed	speed	NOUN
ajst-17929	79	29	and	and	CCONJ
ajst-17929	79	30	accuracy	accuracy	NOUN
ajst-17929	79	31	of	of	ADP
ajst-17929	79	32	the	the	DET
ajst-17929	79	33	algorithm	algorithm	NOUN
ajst-17929	79	34	.	.	PUNCT
ajst-17929	80	1	2.3	2.3	NUM
ajst-17929	80	2	.	.	PUNCT
ajst-17929	80	3	pso	pso	NOUN
ajst-17929	80	4	algorithm	algorithm	NOUN
ajst-17929	80	5	.	.	PUNCT
ajst-17929	81	1	particle	particle	NOUN
ajst-17929	81	2	swarm	swarm	NOUN
ajst-17929	81	3	optimization	optimization	NOUN
ajst-17929	81	4	(	(	PUNCT
ajst-17929	81	5	pso	pso	NOUN
ajst-17929	81	6	)	)	PUNCT
ajst-17929	81	7	abstracts	abstract	VERB
ajst-17929	81	8	a	a	DET
ajst-17929	81	9	flock	flock	NOUN
ajst-17929	81	10	of	of	ADP
ajst-17929	81	11	birds	bird	NOUN
ajst-17929	81	12	into	into	ADP
ajst-17929	81	13	particles	particle	NOUN
ajst-17929	81	14	without	without	ADP
ajst-17929	81	15	volume	volume	NOUN
ajst-17929	81	16	and	and	CCONJ
ajst-17929	81	17	mass	mass	NOUN
ajst-17929	81	18	,	,	PUNCT
ajst-17929	81	19	takes	take	VERB
ajst-17929	81	20	the	the	DET
ajst-17929	81	21	position	position	NOUN
ajst-17929	81	22	of	of	ADP
ajst-17929	81	23	individual	individual	ADJ
ajst-17929	81	24	birds	bird	NOUN
ajst-17929	81	25	or	or	CCONJ
ajst-17929	81	26	food	food	NOUN
ajst-17929	81	27	as	as	ADP
ajst-17929	81	28	the	the	DET
ajst-17929	81	29	optimal	optimal	ADJ
ajst-17929	81	30	solution	solution	NOUN
ajst-17929	81	31	,	,	PUNCT
ajst-17929	81	32	and	and	CCONJ
ajst-17929	81	33	the	the	DET
ajst-17929	81	34	particles	particle	NOUN
ajst-17929	81	35	fly	fly	VERB
ajst-17929	81	36	at	at	ADP
ajst-17929	81	37	a	a	DET
ajst-17929	81	38	certain	certain	ADJ
ajst-17929	81	39	speed	speed	NOUN
ajst-17929	81	40	in	in	ADP
ajst-17929	81	41	the	the	DET
ajst-17929	81	42	solution	solution	NOUN
ajst-17929	81	43	space	space	NOUN
ajst-17929	81	44	,	,	PUNCT
ajst-17929	81	45	using	use	VERB
ajst-17929	81	46	the	the	DET
ajst-17929	81	47	information	information	NOUN
ajst-17929	81	48	of	of	ADP
ajst-17929	81	49	the	the	DET
ajst-17929	81	50	group	group	NOUN
ajst-17929	81	51	to	to	PART
ajst-17929	81	52	interact	interact	VERB
ajst-17929	81	53	with	with	ADP
ajst-17929	81	54	the	the	DET
ajst-17929	81	55	information	information	NOUN
ajst-17929	81	56	of	of	ADP
ajst-17929	81	57	the	the	DET
ajst-17929	81	58	optimal	optimal	ADJ
ajst-17929	81	59	individual	individual	NOUN
ajst-17929	81	60	.	.	PUNCT
ajst-17929	82	1	in	in	ADP
ajst-17929	82	2	order	order	NOUN
ajst-17929	82	3	to	to	PART
ajst-17929	82	4	adjust	adjust	VERB
ajst-17929	82	5	its	its	PRON
ajst-17929	82	6	flight	flight	NOUN
ajst-17929	82	7	speed	speed	NOUN
ajst-17929	82	8	,	,	PUNCT
ajst-17929	82	9	the	the	DET
ajst-17929	82	10	entire	entire	ADJ
ajst-17929	82	11	particle	particle	NOUN
ajst-17929	82	12	swarm	swarm	NOUN
ajst-17929	82	13	converges	converge	VERB
ajst-17929	82	14	towards	towards	ADP
ajst-17929	82	15	the	the	DET
ajst-17929	82	16	optimal	optimal	ADJ
ajst-17929	82	17	individual	individual	NOUN
ajst-17929	82	18	under	under	ADP
ajst-17929	82	19	the	the	DET
ajst-17929	82	20	condition	condition	NOUN
ajst-17929	82	21	of	of	ADP
ajst-17929	82	22	ensuring	ensure	VERB
ajst-17929	82	23	population	population	NOUN
ajst-17929	82	24	diversity	diversity	NOUN
ajst-17929	82	25	[	[	X
ajst-17929	82	26	10	10	NUM
ajst-17929	82	27	]	]	PUNCT
ajst-17929	82	28	.	.	PUNCT
ajst-17929	83	1	the	the	DET
ajst-17929	83	2	algorithm	algorithm	NOUN
ajst-17929	83	3	steps	step	NOUN
ajst-17929	83	4	are	be	AUX
ajst-17929	83	5	as	as	SCONJ
ajst-17929	83	6	follows	follow	VERB
ajst-17929	83	7	:	:	PUNCT
ajst-17929	83	8	first	first	ADV
ajst-17929	83	9	,	,	PUNCT
ajst-17929	83	10	let	let	VERB
ajst-17929	83	11	particle	particle	NOUN
ajst-17929	83	12	swarm	swarm	NOUN
ajst-17929	83	13	size	size	NOUN
ajst-17929	83	14	be	be	AUX
ajst-17929	83	15	n	n	PRON
ajst-17929	83	16	,	,	PUNCT
ajst-17929	83	17	search	search	NOUN
ajst-17929	83	18	space	space	NOUN
ajst-17929	83	19	dimension	dimension	NOUN
ajst-17929	83	20	be	be	AUX
ajst-17929	83	21	d	d	NOUN
ajst-17929	83	22	,	,	PUNCT
ajst-17929	83	23	position	position	NOUN
ajst-17929	83	24	vector	vector	NOUN
ajst-17929	83	25	xi={x1	xi={x1	PROPN
ajst-17929	83	26	,	,	PUNCT
ajst-17929	83	27	x2	x2	PROPN
ajst-17929	83	28	,	,	PUNCT
ajst-17929	83	29	x3	x3	PROPN
ajst-17929	83	30	,	,	PUNCT
ajst-17929	83	31	xid	xid	PROPN
ajst-17929	83	32	}	}	PUNCT
ajst-17929	83	33	,	,	PUNCT
ajst-17929	83	34	velocity	velocity	NOUN
ajst-17929	83	35	vector	vector	NOUN
ajst-17929	83	36	vi{v1	vi{v1	NOUN
ajst-17929	83	37	,	,	PUNCT
ajst-17929	83	38	v2	v2	PROPN
ajst-17929	83	39	,	,	PUNCT
ajst-17929	83	40	v3	v3	PROPN
ajst-17929	83	41	,	,	PUNCT
ajst-17929	83	42	vid	vid	ADV
ajst-17929	83	43	,	,	PUNCT
ajst-17929	83	44	}	}	PUNCT
ajst-17929	83	45	.	.	PUNCT
ajst-17929	84	1	i	i	PRON
ajst-17929	84	2	is	be	AUX
ajst-17929	84	3	the	the	DET
ajst-17929	84	4	particle	particle	NOUN
ajst-17929	84	5	number	number	NOUN
ajst-17929	84	6	,	,	PUNCT
ajst-17929	84	7	the	the	DET
ajst-17929	84	8	position	position	NOUN
ajst-17929	84	9	vector	vector	NOUN
ajst-17929	84	10	of	of	ADP
ajst-17929	84	11	the	the	DET
ajst-17929	84	12	particle	particle	NOUN
ajst-17929	84	13	represents	represent	VERB
ajst-17929	84	14	the	the	DET
ajst-17929	84	15	position	position	NOUN
ajst-17929	84	16	of	of	ADP
ajst-17929	84	17	the	the	DET
ajst-17929	84	18	solution	solution	NOUN
ajst-17929	84	19	in	in	ADP
ajst-17929	84	20	the	the	DET
ajst-17929	84	21	solution	solution	NOUN
ajst-17929	84	22	space	space	NOUN
ajst-17929	84	23	,	,	PUNCT
ajst-17929	84	24	and	and	CCONJ
ajst-17929	84	25	the	the	DET
ajst-17929	84	26	velocity	velocity	NOUN
ajst-17929	84	27	vector	vector	NOUN
ajst-17929	84	28	represents	represent	VERB
ajst-17929	84	29	the	the	DET
ajst-17929	84	30	direction	direction	NOUN
ajst-17929	84	31	and	and	CCONJ
ajst-17929	84	32	rate	rate	NOUN
ajst-17929	84	33	of	of	ADP
ajst-17929	84	34	the	the	DET
ajst-17929	84	35	particle	particle	NOUN
ajst-17929	84	36	moving	move	VERB
ajst-17929	84	37	in	in	ADP
ajst-17929	84	38	the	the	DET
ajst-17929	84	39	solution	solution	NOUN
ajst-17929	84	40	space	space	NOUN
ajst-17929	84	41	.	.	PUNCT
ajst-17929	85	1	the	the	DET
ajst-17929	85	2	particle	particle	NOUN
ajst-17929	85	3	swarm	swarm	NOUN
ajst-17929	85	4	finds	find	VERB
ajst-17929	85	5	the	the	DET
ajst-17929	85	6	optimal	optimal	ADJ
ajst-17929	85	7	solution	solution	NOUN
ajst-17929	85	8	through	through	ADP
ajst-17929	85	9	continuous	continuous	ADJ
ajst-17929	85	10	iteration	iteration	NOUN
ajst-17929	85	11	,	,	PUNCT
ajst-17929	85	12	and	and	CCONJ
ajst-17929	85	13	the	the	DET
ajst-17929	85	14	particle	particle	NOUN
ajst-17929	85	15	iteration	iteration	NOUN
ajst-17929	85	16	formula	formula	NOUN
ajst-17929	85	17	is	be	AUX
ajst-17929	85	18	as	as	SCONJ
ajst-17929	85	19	follows	follow	VERB
ajst-17929	85	20	:	:	PUNCT
ajst-17929	85	21	(	(	PUNCT
ajst-17929	85	22	1	1	X
ajst-17929	85	23	)	)	PUNCT
ajst-17929	85	24	(	(	PUNCT
ajst-17929	85	25	)	)	PUNCT
ajst-17929	86	1	(	(	PUNCT
ajst-17929	86	2	1)id	1)id	NUM
ajst-17929	86	3	i	i	NOUN
ajst-17929	86	4	d	d	PROPN
ajst-17929	86	5	idx	idx	PROPN
ajst-17929	86	6	t	t	PROPN
ajst-17929	86	7	x	x	SYM
ajst-17929	86	8	t	t	PROPN
ajst-17929	86	9	v	v	NUM
ajst-17929	86	10	t	t	PROPN
ajst-17929	86	11			PROPN
ajst-17929	86	12			ADV
ajst-17929	86	13			X
ajst-17929	86	14	(	(	PUNCT
ajst-17929	86	15	9	9	NUM
ajst-17929	86	16	)	)	PUNCT
ajst-17929	86	17	where	where	SCONJ
ajst-17929	86	18	,	,	PUNCT
ajst-17929	86	19	t	t	PROPN
ajst-17929	86	20	is	be	AUX
ajst-17929	86	21	the	the	DET
ajst-17929	86	22	number	number	NOUN
ajst-17929	86	23	of	of	ADP
ajst-17929	86	24	iterations	iteration	NOUN
ajst-17929	86	25	,	,	PUNCT
ajst-17929	86	26	ω	ω	PROPN
ajst-17929	86	27	is	be	AUX
ajst-17929	86	28	the	the	DET
ajst-17929	86	29	inertia	inertia	NOUN
ajst-17929	86	30	weight	weight	NOUN
ajst-17929	86	31	of	of	ADP
ajst-17929	86	32	the	the	DET
ajst-17929	86	33	particle	particle	NOUN
ajst-17929	86	34	,	,	PUNCT
ajst-17929	86	35	representing	represent	VERB
ajst-17929	86	36	the	the	DET
ajst-17929	86	37	influence	influence	NOUN
ajst-17929	86	38	of	of	ADP
ajst-17929	86	39	the	the	DET
ajst-17929	86	40	previous	previous	ADJ
ajst-17929	86	41	232	232	NUM
ajst-17929	86	42	iteration	iteration	NOUN
ajst-17929	86	43	speed	speed	NOUN
ajst-17929	86	44	on	on	ADP
ajst-17929	86	45	the	the	DET
ajst-17929	86	46	current	current	ADJ
ajst-17929	86	47	speed	speed	NOUN
ajst-17929	86	48	.	.	PUNCT
ajst-17929	87	1	c1	c1	PROPN
ajst-17929	87	2	and	and	CCONJ
ajst-17929	87	3	c2	c2	PROPN
ajst-17929	87	4	are	be	AUX
ajst-17929	87	5	acceleration	acceleration	NOUN
ajst-17929	87	6	factors	factor	NOUN
ajst-17929	87	7	,	,	PUNCT
ajst-17929	87	8	c1	c1	PROPN
ajst-17929	87	9	controls	control	VERB
ajst-17929	87	10	the	the	DET
ajst-17929	87	11	learning	learning	NOUN
ajst-17929	87	12	of	of	ADP
ajst-17929	87	13	individual	individual	ADJ
ajst-17929	87	14	particles	particle	NOUN
ajst-17929	87	15	,	,	PUNCT
ajst-17929	87	16	and	and	CCONJ
ajst-17929	87	17	c2	c2	PROPN
ajst-17929	87	18	controls	control	VERB
ajst-17929	87	19	the	the	DET
ajst-17929	87	20	mutual	mutual	ADJ
ajst-17929	87	21	learning	learning	NOUN
ajst-17929	87	22	between	between	ADP
ajst-17929	87	23	particles	particle	NOUN
ajst-17929	87	24	and	and	CCONJ
ajst-17929	87	25	particle	particle	NOUN
ajst-17929	87	26	swarm	swarm	NOUN
ajst-17929	87	27	.	.	PUNCT
ajst-17929	88	1	pbest	pb	ADJ
ajst-17929	88	2	is	be	AUX
ajst-17929	88	3	the	the	DET
ajst-17929	88	4	optimal	optimal	ADJ
ajst-17929	88	5	solution	solution	NOUN
ajst-17929	88	6	reached	reach	VERB
ajst-17929	88	7	by	by	ADP
ajst-17929	88	8	the	the	DET
ajst-17929	88	9	individual	individual	NOUN
ajst-17929	88	10	,	,	PUNCT
ajst-17929	88	11	gbest	gb	ADJ
ajst-17929	88	12	is	be	AUX
ajst-17929	88	13	the	the	DET
ajst-17929	88	14	optimal	optimal	ADJ
ajst-17929	88	15	solution	solution	NOUN
ajst-17929	88	16	reached	reach	VERB
ajst-17929	88	17	by	by	ADP
ajst-17929	88	18	the	the	DET
ajst-17929	88	19	group	group	NOUN
ajst-17929	88	20	.	.	PUNCT
ajst-17929	89	1	the	the	DET
ajst-17929	89	2	determination	determination	NOUN
ajst-17929	89	3	of	of	ADP
ajst-17929	89	4	inertia	inertia	NOUN
ajst-17929	89	5	weight	weight	NOUN
ajst-17929	89	6	is	be	AUX
ajst-17929	89	7	a	a	DET
ajst-17929	89	8	very	very	ADV
ajst-17929	89	9	important	important	ADJ
ajst-17929	89	10	part	part	NOUN
ajst-17929	89	11	of	of	ADP
ajst-17929	89	12	particle	particle	NOUN
ajst-17929	89	13	swarm	swarm	NOUN
ajst-17929	89	14	optimization	optimization	NOUN
ajst-17929	89	15	algorithm	algorithm	NOUN
ajst-17929	89	16	,	,	PUNCT
ajst-17929	89	17	which	which	PRON
ajst-17929	89	18	will	will	AUX
ajst-17929	89	19	directly	directly	ADV
ajst-17929	89	20	affect	affect	VERB
ajst-17929	89	21	the	the	DET
ajst-17929	89	22	convergence	convergence	NOUN
ajst-17929	89	23	speed	speed	NOUN
ajst-17929	89	24	and	and	CCONJ
ajst-17929	89	25	accuracy	accuracy	NOUN
ajst-17929	89	26	of	of	ADP
ajst-17929	89	27	the	the	DET
ajst-17929	89	28	algorithm	algorithm	NOUN
ajst-17929	89	29	.	.	PUNCT
ajst-17929	90	1	the	the	DET
ajst-17929	90	2	value	value	NOUN
ajst-17929	90	3	of	of	ADP
ajst-17929	90	4	ω	ω	PROPN
ajst-17929	90	5	is	be	AUX
ajst-17929	90	6	high	high	ADJ
ajst-17929	90	7	and	and	CCONJ
ajst-17929	90	8	the	the	DET
ajst-17929	90	9	search	search	NOUN
ajst-17929	90	10	range	range	NOUN
ajst-17929	90	11	of	of	ADP
ajst-17929	90	12	the	the	DET
ajst-17929	90	13	algorithm	algorithm	NOUN
ajst-17929	90	14	is	be	AUX
ajst-17929	90	15	large	large	ADJ
ajst-17929	90	16	.	.	PUNCT
ajst-17929	91	1	the	the	DET
ajst-17929	91	2	value	value	NOUN
ajst-17929	91	3	small	small	ADJ
ajst-17929	91	4	algorithm	algorithm	NOUN
ajst-17929	91	5	of	of	ADP
ajst-17929	91	6	ω	ω	PROPN
ajst-17929	91	7	converges	converge	VERB
ajst-17929	91	8	quickly	quickly	ADV
ajst-17929	91	9	.	.	PUNCT
ajst-17929	92	1	the	the	DET
ajst-17929	92	2	traditional	traditional	ADJ
ajst-17929	92	3	pso	pso	NOUN
ajst-17929	92	4	algorithm	algorithm	NOUN
ajst-17929	92	5	has	have	VERB
ajst-17929	92	6	some	some	DET
ajst-17929	92	7	defects	defect	NOUN
ajst-17929	92	8	,	,	PUNCT
ajst-17929	92	9	such	such	ADJ
ajst-17929	92	10	as	as	ADP
ajst-17929	92	11	low	low	ADJ
ajst-17929	92	12	precision	precision	NOUN
ajst-17929	92	13	and	and	CCONJ
ajst-17929	92	14	slow	slow	ADJ
ajst-17929	92	15	convergence	convergence	NOUN
ajst-17929	92	16	speed	speed	NOUN
ajst-17929	92	17	,	,	PUNCT
ajst-17929	92	18	because	because	SCONJ
ajst-17929	92	19	its	its	PRON
ajst-17929	92	20	inertia	inertia	NOUN
ajst-17929	92	21	weight	weight	NOUN
ajst-17929	92	22	ω	ω	PROPN
ajst-17929	92	23	is	be	AUX
ajst-17929	92	24	constant	constant	ADJ
ajst-17929	92	25	.	.	PUNCT
ajst-17929	93	1	at	at	ADP
ajst-17929	93	2	present	present	ADJ
ajst-17929	93	3	,	,	PUNCT
ajst-17929	93	4	most	most	ADJ
ajst-17929	93	5	studies	study	NOUN
ajst-17929	93	6	[	[	X
ajst-17929	93	7	11][12	11][12	X
ajst-17929	93	8	]	]	AUX
ajst-17929	93	9	modify	modify	VERB
ajst-17929	93	10	the	the	DET
ajst-17929	93	11	parameter	parameter	NOUN
ajst-17929	93	12	part	part	NOUN
ajst-17929	93	13	of	of	ADP
ajst-17929	93	14	the	the	DET
ajst-17929	93	15	algorithm	algorithm	NOUN
ajst-17929	93	16	,	,	PUNCT
ajst-17929	93	17	such	such	ADJ
ajst-17929	93	18	as	as	ADP
ajst-17929	93	19	improving	improve	VERB
ajst-17929	93	20	the	the	DET
ajst-17929	93	21	decline	decline	NOUN
ajst-17929	93	22	strategy	strategy	NOUN
ajst-17929	93	23	of	of	ADP
ajst-17929	93	24	inertia	inertia	NOUN
ajst-17929	93	25	weight	weight	NOUN
ajst-17929	93	26	,	,	PUNCT
ajst-17929	93	27	such	such	ADJ
ajst-17929	93	28	as	as	ADP
ajst-17929	93	29	linear	linear	ADJ
ajst-17929	93	30	decline	decline	NOUN
ajst-17929	93	31	strategy	strategy	NOUN
ajst-17929	93	32	of	of	ADP
ajst-17929	93	33	inertia	inertia	NOUN
ajst-17929	93	34	weight	weight	NOUN
ajst-17929	93	35	,	,	PUNCT
ajst-17929	93	36	that	that	ADV
ajst-17929	93	37	is	is	ADV
ajst-17929	93	38	,	,	PUNCT
ajst-17929	93	39	the	the	DET
ajst-17929	93	40	inertia	inertia	NOUN
ajst-17929	93	41	weight	weight	NOUN
ajst-17929	93	42	decreases	decrease	VERB
ajst-17929	93	43	with	with	ADP
ajst-17929	93	44	the	the	DET
ajst-17929	93	45	increase	increase	NOUN
ajst-17929	93	46	of	of	ADP
ajst-17929	93	47	the	the	DET
ajst-17929	93	48	number	number	NOUN
ajst-17929	93	49	of	of	ADP
ajst-17929	93	50	iterations	iteration	NOUN
ajst-17929	93	51	.	.	PUNCT
ajst-17929	94	1	the	the	DET
ajst-17929	94	2	updated	update	VERB
ajst-17929	94	3	formula	formula	NOUN
ajst-17929	94	4	is	be	AUX
ajst-17929	94	5	:	:	PUNCT
ajst-17929	94	6	max	max	PROPN
ajst-17929	94	7	max	max	PROPN
ajst-17929	94	8	min	min	PROPN
ajst-17929	94	9	m	m	VERB
ajst-17929	94	10	m	m	VERB
ajst-17929	94	11			INTJ
ajst-17929	94	12			X
ajst-17929	94	13			X
ajst-17929	94	14			PUNCT
ajst-17929	94	15			PROPN
ajst-17929	94	16			PROPN
ajst-17929	94	17			PROPN
ajst-17929	94	18	（	（	PROPN
ajst-17929	94	19	）	）	PUNCT
ajst-17929	94	20	(	(	PUNCT
ajst-17929	94	21	10	10	NUM
ajst-17929	94	22	)	)	PUNCT
ajst-17929	94	23	ωmax	ωmax	ADV
ajst-17929	94	24	,	,	PUNCT
ajst-17929	94	25	ωmin	ωmin	NOUN
ajst-17929	94	26	are	be	AUX
ajst-17929	94	27	the	the	DET
ajst-17929	94	28	maximum	maximum	ADJ
ajst-17929	94	29	and	and	CCONJ
ajst-17929	94	30	minimum	minimum	ADJ
ajst-17929	94	31	inertial	inertial	ADJ
ajst-17929	94	32	weights	weight	NOUN
ajst-17929	94	33	.	.	PUNCT
ajst-17929	95	1	m	m	PROPN
ajst-17929	95	2	is	be	AUX
ajst-17929	95	3	the	the	DET
ajst-17929	95	4	current	current	ADJ
ajst-17929	95	5	number	number	NOUN
ajst-17929	95	6	of	of	ADP
ajst-17929	95	7	iterations	iteration	NOUN
ajst-17929	95	8	,	,	PUNCT
ajst-17929	95	9	and	and	CCONJ
ajst-17929	95	10	m	m	PROPN
ajst-17929	95	11	is	be	AUX
ajst-17929	95	12	the	the	DET
ajst-17929	95	13	total	total	ADJ
ajst-17929	95	14	number	number	NOUN
ajst-17929	95	15	of	of	ADP
ajst-17929	95	16	iterations	iteration	NOUN
ajst-17929	95	17	.	.	PUNCT
ajst-17929	96	1	the	the	DET
ajst-17929	96	2	adaptability	adaptability	NOUN
ajst-17929	96	3	of	of	ADP
ajst-17929	96	4	this	this	DET
ajst-17929	96	5	update	update	NOUN
ajst-17929	96	6	strategy	strategy	NOUN
ajst-17929	96	7	is	be	AUX
ajst-17929	96	8	wide	wide	ADJ
ajst-17929	96	9	,	,	PUNCT
ajst-17929	96	10	and	and	CCONJ
ajst-17929	96	11	the	the	DET
ajst-17929	96	12	convergence	convergence	NOUN
ajst-17929	96	13	of	of	ADP
ajst-17929	96	14	the	the	DET
ajst-17929	96	15	algorithm	algorithm	NOUN
ajst-17929	96	16	is	be	AUX
ajst-17929	96	17	improved	improve	VERB
ajst-17929	96	18	on	on	ADP
ajst-17929	96	19	the	the	DET
ajst-17929	96	20	basis	basis	NOUN
ajst-17929	96	21	of	of	ADP
ajst-17929	96	22	guaranteeing	guarantee	VERB
ajst-17929	96	23	speed	speed	NOUN
ajst-17929	96	24	and	and	CCONJ
ajst-17929	96	25	accuracy	accuracy	NOUN
ajst-17929	96	26	,	,	PUNCT
ajst-17929	96	27	but	but	CCONJ
ajst-17929	96	28	there	there	PRON
ajst-17929	96	29	are	be	VERB
ajst-17929	96	30	some	some	DET
ajst-17929	96	31	defects	defect	NOUN
ajst-17929	96	32	in	in	ADP
ajst-17929	96	33	this	this	DET
ajst-17929	96	34	algorithm	algorithm	NOUN
ajst-17929	96	35	.	.	PUNCT
ajst-17929	97	1	in	in	ADP
ajst-17929	97	2	the	the	DET
ajst-17929	97	3	early	early	ADJ
ajst-17929	97	4	stage	stage	NOUN
ajst-17929	97	5	of	of	ADP
ajst-17929	97	6	the	the	DET
ajst-17929	97	7	algorithm	algorithm	NOUN
ajst-17929	97	8	,	,	PUNCT
ajst-17929	97	9	more	more	ADJ
ajst-17929	97	10	emphasis	emphasis	NOUN
ajst-17929	97	11	should	should	AUX
ajst-17929	97	12	be	be	AUX
ajst-17929	97	13	placed	place	VERB
ajst-17929	97	14	on	on	ADP
ajst-17929	97	15	search	search	NOUN
ajst-17929	97	16	to	to	PART
ajst-17929	97	17	improve	improve	VERB
ajst-17929	97	18	the	the	DET
ajst-17929	97	19	optimization	optimization	NOUN
ajst-17929	97	20	ability	ability	NOUN
ajst-17929	97	21	of	of	ADP
ajst-17929	97	22	the	the	DET
ajst-17929	97	23	algorithm	algorithm	NOUN
ajst-17929	97	24	,	,	PUNCT
ajst-17929	97	25	but	but	CCONJ
ajst-17929	97	26	the	the	DET
ajst-17929	97	27	linear	linear	ADJ
ajst-17929	97	28	decline	decline	NOUN
ajst-17929	97	29	strategy	strategy	NOUN
ajst-17929	97	30	of	of	ADP
ajst-17929	97	31	inertia	inertia	NOUN
ajst-17929	97	32	weight	weight	NOUN
ajst-17929	97	33	will	will	AUX
ajst-17929	97	34	lead	lead	VERB
ajst-17929	97	35	to	to	ADP
ajst-17929	97	36	the	the	DET
ajst-17929	97	37	weak	weak	ADJ
ajst-17929	97	38	search	search	NOUN
ajst-17929	97	39	ability	ability	NOUN
ajst-17929	97	40	of	of	ADP
ajst-17929	97	41	the	the	DET
ajst-17929	97	42	particle	particle	NOUN
ajst-17929	97	43	swarm	swarm	NOUN
ajst-17929	97	44	in	in	ADP
ajst-17929	97	45	the	the	DET
ajst-17929	97	46	early	early	ADJ
ajst-17929	97	47	stage	stage	NOUN
ajst-17929	97	48	and	and	CCONJ
ajst-17929	97	49	can	can	AUX
ajst-17929	97	50	not	not	PART
ajst-17929	97	51	find	find	VERB
ajst-17929	97	52	the	the	DET
ajst-17929	97	53	global	global	ADJ
ajst-17929	97	54	optimal	optimal	ADJ
ajst-17929	97	55	solution	solution	NOUN
ajst-17929	97	56	.	.	PUNCT
ajst-17929	98	1	in	in	ADP
ajst-17929	98	2	the	the	DET
ajst-17929	98	3	later	later	ADJ
ajst-17929	98	4	stage	stage	NOUN
ajst-17929	98	5	,	,	PUNCT
ajst-17929	98	6	the	the	DET
ajst-17929	98	7	algorithm	algorithm	NOUN
ajst-17929	98	8	should	should	AUX
ajst-17929	98	9	focus	focus	VERB
ajst-17929	98	10	more	more	ADV
ajst-17929	98	11	on	on	ADP
ajst-17929	98	12	convergence	convergence	NOUN
ajst-17929	98	13	,	,	PUNCT
ajst-17929	98	14	and	and	CCONJ
ajst-17929	98	15	the	the	PRON
ajst-17929	98	16	more	more	ADV
ajst-17929	98	17	the	the	DET
ajst-17929	98	18	inertia	inertia	NOUN
ajst-17929	98	19	weight	weight	NOUN
ajst-17929	98	20	linear	linear	NOUN
ajst-17929	98	21	decline	decline	NOUN
ajst-17929	98	22	strategy	strategy	NOUN
ajst-17929	98	23	converges	converge	NOUN
ajst-17929	98	24	,	,	PUNCT
ajst-17929	98	25	the	the	PRON
ajst-17929	98	26	slower	slow	ADJ
ajst-17929	98	27	the	the	DET
ajst-17929	98	28	algorithm	algorithm	NOUN
ajst-17929	98	29	runs	run	VERB
ajst-17929	98	30	.	.	PUNCT
ajst-17929	99	1	to	to	PART
ajst-17929	99	2	sum	sum	VERB
ajst-17929	99	3	up	up	ADP
ajst-17929	99	4	,	,	PUNCT
ajst-17929	99	5	in	in	ADP
ajst-17929	99	6	order	order	NOUN
ajst-17929	99	7	to	to	PART
ajst-17929	99	8	improve	improve	VERB
ajst-17929	99	9	the	the	DET
ajst-17929	99	10	convergence	convergence	NOUN
ajst-17929	99	11	speed	speed	NOUN
ajst-17929	99	12	and	and	CCONJ
ajst-17929	99	13	accuracy	accuracy	NOUN
ajst-17929	99	14	of	of	ADP
ajst-17929	99	15	the	the	DET
ajst-17929	99	16	algorithm	algorithm	NOUN
ajst-17929	99	17	,	,	PUNCT
ajst-17929	99	18	the	the	DET
ajst-17929	99	19	inertia	inertia	NOUN
ajst-17929	99	20	coefficient	coefficient	NOUN
ajst-17929	99	21	cosine	cosine	NOUN
ajst-17929	99	22	decreasing	decrease	VERB
ajst-17929	99	23	strategy	strategy	NOUN
ajst-17929	99	24	is	be	AUX
ajst-17929	99	25	adopted	adopt	VERB
ajst-17929	99	26	to	to	PART
ajst-17929	99	27	improve	improve	VERB
ajst-17929	99	28	the	the	DET
ajst-17929	99	29	optimization	optimization	NOUN
ajst-17929	99	30	ability	ability	NOUN
ajst-17929	99	31	of	of	ADP
ajst-17929	99	32	particle	particle	NOUN
ajst-17929	99	33	swarm	swarm	NOUN
ajst-17929	99	34	in	in	ADP
ajst-17929	99	35	the	the	DET
ajst-17929	99	36	early	early	ADJ
ajst-17929	99	37	stage	stage	NOUN
ajst-17929	99	38	and	and	CCONJ
ajst-17929	99	39	the	the	DET
ajst-17929	99	40	convergence	convergence	NOUN
ajst-17929	99	41	ability	ability	NOUN
ajst-17929	99	42	of	of	ADP
ajst-17929	99	43	particle	particle	NOUN
ajst-17929	99	44	swarm	swarm	NOUN
ajst-17929	99	45	in	in	ADP
ajst-17929	99	46	the	the	DET
ajst-17929	99	47	later	later	ADJ
ajst-17929	99	48	stage	stage	NOUN
ajst-17929	99	49	.	.	PUNCT
ajst-17929	100	1	the	the	DET
ajst-17929	100	2	updated	update	VERB
ajst-17929	100	3	formula	formula	NOUN
ajst-17929	100	4	is	be	AUX
ajst-17929	100	5	as	as	SCONJ
ajst-17929	100	6	follows	follow	VERB
ajst-17929	100	7	:	:	PUNCT
ajst-17929	100	8	max	max	PROPN
ajst-17929	100	9	min	min	PROPN
ajst-17929	100	10	max	max	PROPN
ajst-17929	100	11	min	min	PROPN
ajst-17929	100	12	1	1	NUM
ajst-17929	100	13	[	[	X
ajst-17929	100	14	cos	cos	X
ajst-17929	100	15	(	(	PUNCT
ajst-17929	100	16	)	)	PUNCT
ajst-17929	100	17	(	(	PUNCT
ajst-17929	100	18	)	)	PUNCT
ajst-17929	100	19	2	2	NUM
ajst-17929	100	20	(	(	PUNCT
ajst-17929	100	21	)	)	PUNCT
ajst-17929	100	22	]	]	PUNCT
ajst-17929	101	1	k	k	PROPN
ajst-17929	101	2	m	m	VERB
ajst-17929	101	3	m	m	VERB
ajst-17929	101	4			PROPN
ajst-17929	101	5			PROPN
ajst-17929	101	6			X
ajst-17929	101	7			X
ajst-17929	101	8			X
ajst-17929	101	9			X
ajst-17929	101	10			NUM
ajst-17929	101	11			PROPN
ajst-17929	101	12			PROPN
ajst-17929	101	13			CCONJ
ajst-17929	101	14			X
ajst-17929	101	15	(	(	PUNCT
ajst-17929	101	16	11	11	NUM
ajst-17929	101	17	)	)	PUNCT
ajst-17929	101	18	a	a	DET
ajst-17929	101	19	large	large	ADJ
ajst-17929	101	20	number	number	NOUN
ajst-17929	101	21	of	of	ADP
ajst-17929	101	22	studies	study	NOUN
ajst-17929	101	23	have	have	AUX
ajst-17929	101	24	found	find	VERB
ajst-17929	101	25	that	that	SCONJ
ajst-17929	101	26	when	when	SCONJ
ajst-17929	101	27	the	the	DET
ajst-17929	101	28	maximum	maximum	ADJ
ajst-17929	101	29	inertia	inertia	NOUN
ajst-17929	101	30	weight	weight	NOUN
ajst-17929	101	31	value	value	NOUN
ajst-17929	101	32	ωmax	ωmax	ADV
ajst-17929	101	33	is	be	AUX
ajst-17929	101	34	0.9	0.9	NUM
ajst-17929	101	35	and	and	CCONJ
ajst-17929	101	36	the	the	DET
ajst-17929	101	37	minimum	minimum	NOUN
ajst-17929	101	38	inertia	inertia	NOUN
ajst-17929	101	39	weight	weight	NOUN
ajst-17929	101	40	value	value	NOUN
ajst-17929	101	41	ωmin	ωmin	NOUN
ajst-17929	101	42	is	be	AUX
ajst-17929	101	43	0.4[13	0.4[13	PROPN
ajst-17929	101	44	]	]	PUNCT
ajst-17929	101	45	,	,	PUNCT
ajst-17929	101	46	the	the	DET
ajst-17929	101	47	algorithm	algorithm	NOUN
ajst-17929	101	48	performance	performance	NOUN
ajst-17929	101	49	will	will	AUX
ajst-17929	101	50	be	be	AUX
ajst-17929	101	51	greatly	greatly	ADV
ajst-17929	101	52	improved	improve	VERB
ajst-17929	101	53	.	.	PUNCT
ajst-17929	102	1	set	set	VERB
ajst-17929	102	2	the	the	DET
ajst-17929	102	3	maximum	maximum	ADJ
ajst-17929	102	4	number	number	NOUN
ajst-17929	102	5	of	of	ADP
ajst-17929	102	6	iteration	iteration	NOUN
ajst-17929	102	7	m	m	PROPN
ajst-17929	102	8	of	of	ADP
ajst-17929	102	9	the	the	DET
ajst-17929	102	10	algorithm	algorithm	NOUN
ajst-17929	102	11	to	to	ADP
ajst-17929	102	12	100	100	NUM
ajst-17929	102	13	and	and	CCONJ
ajst-17929	102	14	bring	bring	VERB
ajst-17929	102	15	it	it	PRON
ajst-17929	102	16	into	into	ADP
ajst-17929	102	17	the	the	DET
ajst-17929	102	18	formula	formula	NOUN
ajst-17929	102	19	for	for	ADP
ajst-17929	102	20	calculation	calculation	NOUN
ajst-17929	102	21	.	.	PUNCT
ajst-17929	103	1	figure	figure	NOUN
ajst-17929	103	2	2	2	NUM
ajst-17929	103	3	.	.	PUNCT
ajst-17929	103	4	inertia	inertia	NOUN
ajst-17929	103	5	weight	weight	NOUN
ajst-17929	103	6	coefficient	coefficient	NOUN
ajst-17929	103	7	comparison	comparison	NOUN
ajst-17929	103	8	he	he	PRON
ajst-17929	103	9	results	result	VERB
ajst-17929	103	10	are	be	AUX
ajst-17929	103	11	shown	show	VERB
ajst-17929	103	12	in	in	ADP
ajst-17929	103	13	figure	figure	NOUN
ajst-17929	103	14	2	2	NUM
ajst-17929	103	15	.	.	PUNCT
ajst-17929	104	1	it	it	PRON
ajst-17929	104	2	can	can	AUX
ajst-17929	104	3	be	be	AUX
ajst-17929	104	4	seen	see	VERB
ajst-17929	104	5	that	that	SCONJ
ajst-17929	104	6	in	in	ADP
ajst-17929	104	7	the	the	DET
ajst-17929	104	8	early	early	ADJ
ajst-17929	104	9	stage	stage	NOUN
ajst-17929	104	10	of	of	ADP
ajst-17929	104	11	iteration	iteration	NOUN
ajst-17929	104	12	,	,	PUNCT
ajst-17929	104	13	the	the	DET
ajst-17929	104	14	value	value	NOUN
ajst-17929	104	15	of	of	ADP
ajst-17929	104	16	the	the	DET
ajst-17929	104	17	inertia	inertia	NOUN
ajst-17929	104	18	coefficient	coefficient	NOUN
ajst-17929	104	19	ω	ω	PROPN
ajst-17929	104	20	is	be	AUX
ajst-17929	104	21	large	large	ADJ
ajst-17929	104	22	,	,	PUNCT
ajst-17929	104	23	and	and	CCONJ
ajst-17929	104	24	the	the	DET
ajst-17929	104	25	particle	particle	NOUN
ajst-17929	104	26	swarm	swarm	NOUN
ajst-17929	104	27	has	have	VERB
ajst-17929	104	28	a	a	DET
ajst-17929	104	29	strong	strong	ADJ
ajst-17929	104	30	ability	ability	NOUN
ajst-17929	104	31	to	to	PART
ajst-17929	104	32	conduct	conduct	VERB
ajst-17929	104	33	global	global	ADJ
ajst-17929	104	34	search	search	NOUN
ajst-17929	104	35	,	,	PUNCT
ajst-17929	104	36	which	which	PRON
ajst-17929	104	37	is	be	AUX
ajst-17929	104	38	conducive	conducive	ADJ
ajst-17929	104	39	to	to	ADP
ajst-17929	104	40	the	the	DET
ajst-17929	104	41	group	group	NOUN
ajst-17929	104	42	's	's	PART
ajst-17929	104	43	global	global	ADJ
ajst-17929	104	44	learning	learning	NOUN
ajst-17929	104	45	and	and	CCONJ
ajst-17929	104	46	avoids	avoid	VERB
ajst-17929	104	47	the	the	DET
ajst-17929	104	48	algorithm	algorithm	NOUN
ajst-17929	104	49	falling	fall	VERB
ajst-17929	104	50	into	into	ADP
ajst-17929	104	51	the	the	DET
ajst-17929	104	52	local	local	ADJ
ajst-17929	104	53	optimal	optimal	ADJ
ajst-17929	104	54	solution	solution	NOUN
ajst-17929	104	55	.	.	PUNCT
ajst-17929	105	1	in	in	ADP
ajst-17929	105	2	the	the	DET
ajst-17929	105	3	late	late	ADJ
ajst-17929	105	4	iteration	iteration	NOUN
ajst-17929	105	5	,	,	PUNCT
ajst-17929	105	6	the	the	DET
ajst-17929	105	7	inertia	inertia	NOUN
ajst-17929	105	8	weight	weight	NOUN
ajst-17929	105	9	value	value	NOUN
ajst-17929	105	10	ω	ω	NOUN
ajst-17929	105	11	is	be	AUX
ajst-17929	105	12	smaller	small	ADJ
ajst-17929	105	13	,	,	PUNCT
ajst-17929	105	14	the	the	DET
ajst-17929	105	15	particle	particle	NOUN
ajst-17929	105	16	local	local	ADJ
ajst-17929	105	17	search	search	NOUN
ajst-17929	105	18	ability	ability	NOUN
ajst-17929	105	19	is	be	AUX
ajst-17929	105	20	stronger	strong	ADJ
ajst-17929	105	21	,	,	PUNCT
ajst-17929	105	22	and	and	CCONJ
ajst-17929	105	23	the	the	DET
ajst-17929	105	24	search	search	NOUN
ajst-17929	105	25	speed	speed	NOUN
ajst-17929	105	26	is	be	AUX
ajst-17929	105	27	faster	fast	ADJ
ajst-17929	105	28	,	,	PUNCT
ajst-17929	105	29	which	which	PRON
ajst-17929	105	30	is	be	AUX
ajst-17929	105	31	conducive	conducive	ADJ
ajst-17929	105	32	to	to	ADP
ajst-17929	105	33	improving	improve	VERB
ajst-17929	105	34	the	the	DET
ajst-17929	105	35	search	search	NOUN
ajst-17929	105	36	efficiency	efficiency	NOUN
ajst-17929	105	37	of	of	ADP
ajst-17929	105	38	pso	pso	NOUN
ajst-17929	105	39	algorithm	algorithm	NOUN
ajst-17929	105	40	.	.	PUNCT
ajst-17929	106	1	however	however	ADV
ajst-17929	106	2	,	,	PUNCT
ajst-17929	106	3	the	the	DET
ajst-17929	106	4	search	search	NOUN
ajst-17929	106	5	result	result	NOUN
ajst-17929	106	6	of	of	ADP
ajst-17929	106	7	the	the	DET
ajst-17929	106	8	algorithm	algorithm	NOUN
ajst-17929	106	9	may	may	AUX
ajst-17929	106	10	still	still	ADV
ajst-17929	106	11	be	be	AUX
ajst-17929	106	12	the	the	DET
ajst-17929	106	13	local	local	ADJ
ajst-17929	106	14	optimal	optimal	ADJ
ajst-17929	106	15	solution	solution	NOUN
ajst-17929	106	16	.	.	PUNCT
ajst-17929	107	1	however	however	ADV
ajst-17929	107	2	,	,	PUNCT
ajst-17929	107	3	it	it	PRON
ajst-17929	107	4	can	can	AUX
ajst-17929	107	5	be	be	AUX
ajst-17929	107	6	confirmed	confirm	VERB
ajst-17929	107	7	that	that	SCONJ
ajst-17929	107	8	when	when	SCONJ
ajst-17929	107	9	the	the	DET
ajst-17929	107	10	particle	particle	NOUN
ajst-17929	107	11	swarm	swarm	NOUN
ajst-17929	107	12	converges	converge	VERB
ajst-17929	107	13	towards	towards	ADP
ajst-17929	107	14	the	the	DET
ajst-17929	107	15	global	global	ADJ
ajst-17929	107	16	optimal	optimal	ADJ
ajst-17929	107	17	solution	solution	NOUN
ajst-17929	107	18	,	,	PUNCT
ajst-17929	107	19	the	the	DET
ajst-17929	107	20	individual	individual	ADJ
ajst-17929	107	21	optimal	optimal	ADJ
ajst-17929	107	22	value	value	NOUN
ajst-17929	107	23	in	in	ADP
ajst-17929	107	24	the	the	DET
ajst-17929	107	25	next	next	ADJ
ajst-17929	107	26	iteration	iteration	NOUN
ajst-17929	107	27	must	must	AUX
ajst-17929	107	28	be	be	AUX
ajst-17929	107	29	higher	high	ADJ
ajst-17929	107	30	than	than	ADP
ajst-17929	107	31	the	the	DET
ajst-17929	107	32	individual	individual	ADJ
ajst-17929	107	33	optimal	optimal	ADJ
ajst-17929	107	34	value	value	NOUN
ajst-17929	107	35	in	in	ADP
ajst-17929	107	36	the	the	DET
ajst-17929	107	37	last	last	ADJ
ajst-17929	107	38	iteration	iteration	NOUN
ajst-17929	107	39	.	.	PUNCT
ajst-17929	108	1	therefore	therefore	ADV
ajst-17929	108	2	,	,	PUNCT
ajst-17929	108	3	judging	judge	VERB
ajst-17929	108	4	the	the	DET
ajst-17929	108	5	size	size	NOUN
ajst-17929	108	6	of	of	ADP
ajst-17929	108	7	the	the	DET
ajst-17929	108	8	individual	individual	ADJ
ajst-17929	108	9	optimal	optimal	ADJ
ajst-17929	108	10	position	position	NOUN
ajst-17929	108	11	response	response	NOUN
ajst-17929	108	12	function	function	VERB
ajst-17929	108	13	beforeand	beforeand	ADV
ajst-17929	108	14	after	after	SCONJ
ajst-17929	108	15	the	the	DET
ajst-17929	108	16	iteration	iteration	NOUN
ajst-17929	108	17	can	can	AUX
ajst-17929	108	18	determine	determine	VERB
ajst-17929	108	19	whether	whether	SCONJ
ajst-17929	108	20	a	a	DET
ajst-17929	108	21	single	single	ADJ
ajst-17929	108	22	particle	particle	NOUN
ajst-17929	108	23	is	be	AUX
ajst-17929	108	24	evolving	evolve	VERB
ajst-17929	108	25	[	[	X
ajst-17929	108	26	14	14	NUM
ajst-17929	108	27	]	]	PUNCT
ajst-17929	108	28	,	,	PUNCT
ajst-17929	108	29	that	that	PRON
ajst-17929	108	30	is	be	AUX
ajst-17929	108	31	:	:	PUNCT
ajst-17929	108	32			PROPN
ajst-17929	108	33			PROPN
ajst-17929	108	34	(	(	PUNCT
ajst-17929	108	35	,	,	PUNCT
ajst-17929	108	36	)	)	PUNCT
ajst-17929	108	37	(	(	PUNCT
ajst-17929	108	38	,	,	PUNCT
ajst-17929	108	39	1	1	X
ajst-17929	108	40	)	)	PUNCT
ajst-17929	108	41	,	,	PUNCT
ajst-17929	108	42	(	(	PUNCT
ajst-17929	108	43	,	,	PUNCT
ajst-17929	108	44	)	)	PUNCT
ajst-17929	108	45	(	(	PUNCT
ajst-17929	108	46	,	,	PUNCT
ajst-17929	108	47	1	1	X
ajst-17929	108	48	)	)	PUNCT
ajst-17929	108	49	1	1	NUM
ajst-17929	108	50	0	0	NUM
ajst-17929	109	1	xid	xid	PROPN
ajst-17929	109	2	t	t	PROPN
ajst-17929	109	3	xid	xid	PROPN
ajst-17929	109	4	t	t	PROPN
ajst-17929	110	1	i	i	PRON
ajst-17929	110	2	t	t	PROPN
ajst-17929	110	3	xid	xid	PROPN
ajst-17929	110	4	t	t	PROPN
ajst-17929	110	5	xid	xid	PROPN
ajst-17929	110	6	t	t	PROPN
ajst-17929	110	7	a	a	PRON
ajst-17929	110	8	f	f	X
ajst-17929	110	9	f	f	PROPN
ajst-17929	110	10	f	f	PROPN
ajst-17929	110	11	f	f	PROPN
ajst-17929	110	12			PROPN
ajst-17929	110	13			X
ajst-17929	110	14			X
ajst-17929	110	15			X
ajst-17929	110	16			NOUN
ajst-17929	110	17			NOUN
ajst-17929	110	18			ADP
ajst-17929	110	19			PROPN
ajst-17929	110	20			NUM
ajst-17929	110	21			X
ajst-17929	110	22	＞	＞	NOUN
ajst-17929	110	23	(	(	PUNCT
ajst-17929	110	24	12	12	NUM
ajst-17929	110	25	)	)	PUNCT
ajst-17929	110	26	where	where	SCONJ
ajst-17929	110	27	,	,	PUNCT
ajst-17929	110	28	it	it	PRON
ajst-17929	110	29	represents	represent	VERB
ajst-17929	110	30	whether	whether	SCONJ
ajst-17929	110	31	the	the	DET
ajst-17929	110	32	i	i	NOUN
ajst-17929	110	33	-	-	PUNCT
ajst-17929	110	34	th	th	X
ajst-17929	110	35	particle	particle	NOUN
ajst-17929	110	36	in	in	ADP
ajst-17929	110	37	the	the	DET
ajst-17929	110	38	t	t	PROPN
ajst-17929	110	39	iteration	iteration	NOUN
ajst-17929	110	40	is	be	AUX
ajst-17929	110	41	evolving	evolve	VERB
ajst-17929	110	42	towards	towards	ADP
ajst-17929	110	43	the	the	DET
ajst-17929	110	44	particle	particle	NOUN
ajst-17929	110	45	individual	individual	ADJ
ajst-17929	110	46	optimization	optimization	NOUN
ajst-17929	110	47	.	.	PUNCT
ajst-17929	111	1			PROPN
ajst-17929	111	2			PROPN
ajst-17929	111	3	,	,	PUNCT
ajst-17929	111	4	1	1	NUM
ajst-17929	111	5	(	(	PUNCT
ajst-17929	111	6	)	)	PUNCT
ajst-17929	111	7	n	n	CCONJ
ajst-17929	112	1	i	i	PRON
ajst-17929	112	2	t	t	NOUN
ajst-17929	112	3	t	t	PROPN
ajst-17929	112	4	s	s	PROPN
ajst-17929	112	5	t	t	PROPN
ajst-17929	112	6	a	a	DET
ajst-17929	112	7	p	p	NOUN
ajst-17929	112	8	n	n	CCONJ
ajst-17929	112	9			NUM
ajst-17929	112	10			X
ajst-17929	112	11	(	(	PUNCT
ajst-17929	112	12	13	13	NUM
ajst-17929	112	13	)	)	PUNCT
ajst-17929	112	14	where	where	SCONJ
ajst-17929	112	15	,	,	PUNCT
ajst-17929	112	16	n	n	PRON
ajst-17929	112	17	represents	represent	VERB
ajst-17929	112	18	the	the	DET
ajst-17929	112	19	total	total	ADJ
ajst-17929	112	20	number	number	NOUN
ajst-17929	112	21	of	of	ADP
ajst-17929	112	22	particles	particle	NOUN
ajst-17929	112	23	,	,	PUNCT
ajst-17929	112	24	and	and	CCONJ
ajst-17929	112	25	ps(t	ps(t	NUM
ajst-17929	112	26	)	)	PUNCT
ajst-17929	112	27	is	be	AUX
ajst-17929	112	28	a	a	DET
ajst-17929	112	29	value	value	NOUN
ajst-17929	112	30	between	between	ADP
ajst-17929	112	31	[	[	X
ajst-17929	112	32	0,1	0,1	NUM
ajst-17929	112	33	]	]	PUNCT
ajst-17929	112	34	,	,	PUNCT
ajst-17929	112	35	the	the	DET
ajst-17929	112	36	size	size	NOUN
ajst-17929	112	37	of	of	ADP
ajst-17929	112	38	which	which	PRON
ajst-17929	112	39	represents	represent	VERB
ajst-17929	112	40	the	the	DET
ajst-17929	112	41	number	number	NOUN
ajst-17929	112	42	of	of	ADP
ajst-17929	112	43	individuals	individual	NOUN
ajst-17929	112	44	in	in	ADP
ajst-17929	112	45	the	the	DET
ajst-17929	112	46	whole	whole	ADJ
ajst-17929	112	47	particle	particle	NOUN
ajst-17929	112	48	swarm	swarm	NOUN
ajst-17929	112	49	evolving	evolve	VERB
ajst-17929	112	50	toward	toward	ADP
ajst-17929	112	51	the	the	DET
ajst-17929	112	52	individual	individual	ADJ
ajst-17929	112	53	optimal	optimal	ADJ
ajst-17929	112	54	position	position	NOUN
ajst-17929	112	55	.	.	PUNCT
ajst-17929	113	1	if	if	SCONJ
ajst-17929	113	2	ps(t	ps(t	NUM
ajst-17929	113	3	)	)	PUNCT
ajst-17929	113	4	is	be	AUX
ajst-17929	113	5	large	large	ADJ
ajst-17929	113	6	,	,	PUNCT
ajst-17929	113	7	most	most	ADJ
ajst-17929	113	8	of	of	ADP
ajst-17929	113	9	the	the	DET
ajst-17929	113	10	particles	particle	NOUN
ajst-17929	113	11	in	in	ADP
ajst-17929	113	12	the	the	DET
ajst-17929	113	13	population	population	NOUN
ajst-17929	113	14	have	have	AUX
ajst-17929	113	15	not	not	PART
ajst-17929	113	16	reached	reach	VERB
ajst-17929	113	17	the	the	DET
ajst-17929	113	18	global	global	ADJ
ajst-17929	113	19	optimal	optimal	ADJ
ajst-17929	113	20	position	position	NOUN
ajst-17929	113	21	;	;	PUNCT
ajst-17929	113	22	if	if	SCONJ
ajst-17929	113	23	ps(t	ps(t	NUM
ajst-17929	113	24	)	)	PUNCT
ajst-17929	113	25	is	be	AUX
ajst-17929	113	26	small	small	ADJ
ajst-17929	113	27	,	,	PUNCT
ajst-17929	113	28	it	it	PRON
ajst-17929	113	29	is	be	AUX
ajst-17929	113	30	considered	consider	VERB
ajst-17929	113	31	that	that	SCONJ
ajst-17929	113	32	most	most	ADJ
ajst-17929	113	33	of	of	ADP
ajst-17929	113	34	the	the	DET
ajst-17929	113	35	particles	particle	NOUN
ajst-17929	113	36	in	in	ADP
ajst-17929	113	37	the	the	DET
ajst-17929	113	38	population	population	NOUN
ajst-17929	113	39	have	have	AUX
ajst-17929	113	40	reached	reach	VERB
ajst-17929	113	41	the	the	DET
ajst-17929	113	42	global	global	ADJ
ajst-17929	113	43	optimal	optimal	ADJ
ajst-17929	113	44	position	position	NOUN
ajst-17929	113	45	.	.	PUNCT
ajst-17929	114	1	if	if	SCONJ
ajst-17929	114	2	we	we	PRON
ajst-17929	114	3	set	set	VERB
ajst-17929	114	4	the	the	DET
ajst-17929	114	5	termination	termination	NOUN
ajst-17929	114	6	condition	condition	NOUN
ajst-17929	114	7	as	as	ADP
ajst-17929	114	8	ps(t	ps(t	NUM
ajst-17929	114	9	)	)	PUNCT
ajst-17929	114	10	<	<	X
ajst-17929	114	11	0.05	0.05	NUM
ajst-17929	114	12	,	,	PUNCT
ajst-17929	114	13	it	it	PRON
ajst-17929	114	14	indicates	indicate	VERB
ajst-17929	114	15	that	that	SCONJ
ajst-17929	114	16	the	the	DET
ajst-17929	114	17	particle	particle	NOUN
ajst-17929	114	18	swarm	swarm	NOUN
ajst-17929	114	19	may	may	AUX
ajst-17929	114	20	reach	reach	VERB
ajst-17929	114	21	the	the	DET
ajst-17929	114	22	optimal	optimal	ADJ
ajst-17929	114	23	position	position	NOUN
ajst-17929	114	24	of	of	ADP
ajst-17929	114	25	the	the	DET
ajst-17929	114	26	population	population	NOUN
ajst-17929	114	27	.	.	PUNCT
ajst-17929	115	1	at	at	ADP
ajst-17929	115	2	this	this	DET
ajst-17929	115	3	time	time	NOUN
ajst-17929	115	4	,	,	PUNCT
ajst-17929	115	5	the	the	DET
ajst-17929	115	6	algorithm	algorithm	NOUN
ajst-17929	115	7	continues	continue	VERB
ajst-17929	115	8	to	to	PART
ajst-17929	115	9	perform	perform	VERB
ajst-17929	115	10	three	three	NUM
ajst-17929	115	11	iterations	iteration	NOUN
ajst-17929	115	12	.	.	PUNCT
ajst-17929	116	1	if	if	SCONJ
ajst-17929	116	2	the	the	DET
ajst-17929	116	3	fitness	fitness	NOUN
ajst-17929	116	4	value	value	NOUN
ajst-17929	116	5	of	of	ADP
ajst-17929	116	6	the	the	DET
ajst-17929	116	7	particle	particle	NOUN
ajst-17929	116	8	swarm	swarm	NOUN
ajst-17929	116	9	after	after	ADP
ajst-17929	116	10	iteration	iteration	NOUN
ajst-17929	116	11	is	be	AUX
ajst-17929	116	12	still	still	ADV
ajst-17929	116	13	higher	high	ADJ
ajst-17929	116	14	than	than	ADP
ajst-17929	116	15	that	that	PRON
ajst-17929	116	16	of	of	ADP
ajst-17929	116	17	the	the	DET
ajst-17929	116	18	previous	previous	ADJ
ajst-17929	116	19	iteration	iteration	NOUN
ajst-17929	116	20	,	,	PUNCT
ajst-17929	116	21	it	it	PRON
ajst-17929	116	22	is	be	AUX
ajst-17929	116	23	determined	determine	VERB
ajst-17929	116	24	that	that	SCONJ
ajst-17929	116	25	the	the	DET
ajst-17929	116	26	particle	particle	NOUN
ajst-17929	116	27	swarm	swarm	NOUN
ajst-17929	116	28	has	have	AUX
ajst-17929	116	29	reached	reach	VERB
ajst-17929	116	30	the	the	DET
ajst-17929	116	31	optimal	optimal	ADJ
ajst-17929	116	32	position	position	NOUN
ajst-17929	116	33	of	of	ADP
ajst-17929	116	34	the	the	DET
ajst-17929	116	35	population	population	NOUN
ajst-17929	116	36	for	for	ADP
ajst-17929	116	37	the	the	DET
ajst-17929	116	38	first	first	ADJ
ajst-17929	116	39	time	time	NOUN
ajst-17929	116	40	.	.	PUNCT
ajst-17929	117	1	however	however	ADV
ajst-17929	117	2	,	,	PUNCT
ajst-17929	117	3	the	the	DET
ajst-17929	117	4	particle	particle	NOUN
ajst-17929	117	5	swarm	swarm	NOUN
ajst-17929	117	6	may	may	AUX
ajst-17929	117	7	still	still	ADV
ajst-17929	117	8	be	be	AUX
ajst-17929	117	9	a	a	DET
ajst-17929	117	10	local	local	ADJ
ajst-17929	117	11	optimal	optimal	ADJ
ajst-17929	117	12	20	20	NUM
ajst-17929	117	13	40	40	NUM
ajst-17929	117	14	60	60	NUM
ajst-17929	117	15	80	80	NUM
ajst-17929	117	16	100	100	NUM
ajst-17929	117	17	0.4	0.4	NUM
ajst-17929	117	18	0.5	0.5	NUM
ajst-17929	117	19	0.6	0.6	NUM
ajst-17929	117	20	0.7	0.7	NUM
ajst-17929	117	21	0.8	0.8	NUM
ajst-17929	117	22	0.9	0.9	NUM
ajst-17929	117	23	w	w	NOUN
ajst-17929	117	24	ei	ei	NOUN
ajst-17929	117	25	gh	gh	PROPN
ajst-17929	117	26	ts	ts	ADP
ajst-17929	117	27	number	number	NOUN
ajst-17929	117	28	of	of	ADP
ajst-17929	117	29	iterations	iteration	NOUN
ajst-17929	117	30	cosine	cosine	NOUN
ajst-17929	117	31	decrement	decrement	ADJ
ajst-17929	117	32	lineardecrement	lineardecrement	ADJ
ajst-17929	117	33	233	233	NUM
ajst-17929	117	34	solution	solution	NOUN
ajst-17929	117	35	at	at	ADP
ajst-17929	117	36	this	this	DET
ajst-17929	117	37	time	time	NOUN
ajst-17929	117	38	.	.	PUNCT
ajst-17929	118	1	after	after	ADP
ajst-17929	118	2	recording	record	VERB
ajst-17929	118	3	the	the	DET
ajst-17929	118	4	current	current	ADJ
ajst-17929	118	5	optimal	optimal	ADJ
ajst-17929	118	6	position	position	NOUN
ajst-17929	118	7	,	,	PUNCT
ajst-17929	118	8	a	a	DET
ajst-17929	118	9	perturbation	perturbation	NOUN
ajst-17929	118	10	[	[	X
ajst-17929	118	11	15][16	15][16	X
ajst-17929	118	12	]	]	X
ajst-17929	118	13	is	be	AUX
ajst-17929	118	14	added	add	VERB
ajst-17929	118	15	to	to	ADP
ajst-17929	118	16	the	the	DET
ajst-17929	118	17	particle	particle	NOUN
ajst-17929	118	18	swarm	swarm	NOUN
ajst-17929	118	19	to	to	PART
ajst-17929	118	20	make	make	VERB
ajst-17929	118	21	the	the	DET
ajst-17929	118	22	particle	particle	NOUN
ajst-17929	118	23	swarm	swarm	NOUN
ajst-17929	118	24	abandon	abandon	VERB
ajst-17929	118	25	the	the	DET
ajst-17929	118	26	current	current	ADJ
ajst-17929	118	27	optimal	optimal	ADJ
ajst-17929	118	28	solution	solution	NOUN
ajst-17929	118	29	and	and	CCONJ
ajst-17929	118	30	find	find	VERB
ajst-17929	118	31	the	the	DET
ajst-17929	118	32	global	global	ADJ
ajst-17929	118	33	optimal	optimal	ADJ
ajst-17929	118	34	solution	solution	NOUN
ajst-17929	118	35	again	again	ADV
ajst-17929	118	36	.	.	PUNCT
ajst-17929	119	1	after	after	ADP
ajst-17929	119	2	adding	add	VERB
ajst-17929	119	3	the	the	DET
ajst-17929	119	4	disturbance	disturbance	NOUN
ajst-17929	119	5	,	,	PUNCT
ajst-17929	119	6	the	the	DET
ajst-17929	119	7	updated	update	VERB
ajst-17929	119	8	equation	equation	NOUN
ajst-17929	119	9	is	be	AUX
ajst-17929	119	10	:	:	PUNCT
ajst-17929	119	11	1	1	NUM
ajst-17929	119	12	2	2	NUM
ajst-17929	119	13	,	,	PUNCT
ajst-17929	119	14	i	i	PRON
ajst-17929	120	1	i	i	PRON
ajst-17929	121	1	i	i	VERB
ajst-17929	121	2	k	k	NOUN
ajst-17929	122	1	f	f	PROPN
ajst-17929	122	2	f	f	X
ajst-17929	122	3	f	f	PROPN
ajst-17929	122	4	f	f	PROPN
ajst-17929	122	5	fs	fs	ADP
ajst-17929	122	6	e	e	PROPN
ajst-17929	122	7	s	s	PROPN
ajst-17929	122	8	e	e	X
ajst-17929	122	9			PROPN
ajst-17929	122	10			PROPN
ajst-17929	122	11			NOUN
ajst-17929	122	12			VERB
ajst-17929	122	13			PROPN
ajst-17929	122	14			PROPN
ajst-17929	122	15	(	(	PUNCT
ajst-17929	122	16	14	14	NUM
ajst-17929	122	17	)	)	SYM
ajst-17929	122	18	1	1	NUM
ajst-17929	122	19	2	2	NUM
ajst-17929	122	20	(	(	PUNCT
ajst-17929	122	21	1	1	NUM
ajst-17929	122	22	)	)	PUNCT
ajst-17929	122	23	(	(	PUNCT
ajst-17929	122	24	)	)	PUNCT
ajst-17929	122	25	(	(	PUNCT
ajst-17929	122	26	)	)	PUNCT
ajst-17929	122	27	[	[	PUNCT
ajst-17929	122	28	(	(	PUNCT
ajst-17929	122	29	)	)	PUNCT
ajst-17929	122	30	]	]	X
ajst-17929	122	31	rand	rand	NOUN
ajst-17929	122	32	(	(	PUNCT
ajst-17929	122	33	)	)	PUNCT
ajst-17929	122	34	[	[	PUNCT
ajst-17929	122	35	(	(	PUNCT
ajst-17929	122	36	)	)	PUNCT
ajst-17929	122	37	]	]	PUNCT
ajst-17929	123	1	i	i	NOUN
ajst-17929	123	2	d	d	PROPN
ajst-17929	123	3	i	i	PROPN
ajst-17929	123	4	d	d	PROPN
ajst-17929	123	5	i	i	PROPN
ajst-17929	123	6	d	d	PROPN
ajst-17929	123	7	i	i	PROPN
ajst-17929	123	8	d	d	PROPN
ajst-17929	123	9	i	i	PROPN
ajst-17929	123	10	d	d	PROPN
ajst-17929	123	11	i	i	PROPN
ajst-17929	123	12	d	d	PROPN
ajst-17929	123	13	x	x	SYM
ajst-17929	123	14	t	t	X
ajst-17929	123	15	x	x	X
ajst-17929	123	16	t	t	PROPN
ajst-17929	123	17	s	s	PROPN
ajst-17929	123	18	rand	rand	NOUN
ajst-17929	123	19	pbest	pbest	NOUN
ajst-17929	123	20	x	x	X
ajst-17929	123	21	t	t	NOUN
ajst-17929	123	22	s	s	PRON
ajst-17929	123	23	gbest	gbest	NOUN
ajst-17929	123	24	x	x	X
ajst-17929	123	25	t	t	PROPN
ajst-17929	123	26			PROPN
ajst-17929	123	27			PROPN
ajst-17929	123	28			ADJ
ajst-17929	123	29			PROPN
ajst-17929	123	30			VERB
ajst-17929	123	31			NOUN
ajst-17929	123	32	(	(	PUNCT
ajst-17929	123	33	15	15	NUM
ajst-17929	123	34	)	)	PUNCT
ajst-17929	123	35	where	where	SCONJ
ajst-17929	123	36	,	,	PUNCT
ajst-17929	123	37	s1	s1	PROPN
ajst-17929	123	38	and	and	CCONJ
ajst-17929	123	39	s2	s2	PROPN
ajst-17929	123	40	are	be	AUX
ajst-17929	123	41	the	the	DET
ajst-17929	123	42	updated	update	VERB
ajst-17929	123	43	acceleration	acceleration	NOUN
ajst-17929	123	44	factors	factor	NOUN
ajst-17929	123	45	,	,	PUNCT
ajst-17929	123	46	are	be	AUX
ajst-17929	123	47	the	the	DET
ajst-17929	123	48	fitness	fitness	NOUN
ajst-17929	123	49	value	value	NOUN
ajst-17929	123	50	of	of	ADP
ajst-17929	123	51	the	the	DET
ajst-17929	123	52	i	i	PROPN
ajst-17929	123	53	th	th	X
ajst-17929	123	54	particle	particle	NOUN
ajst-17929	123	55	,	,	PUNCT
ajst-17929	123	56	are	be	AUX
ajst-17929	123	57	the	the	DET
ajst-17929	123	58	global	global	ADJ
ajst-17929	123	59	optimal	optimal	ADJ
ajst-17929	123	60	fitness	fitness	NOUN
ajst-17929	123	61	value	value	NOUN
ajst-17929	123	62	,	,	PUNCT
ajst-17929	123	63	and	and	CCONJ
ajst-17929	123	64	are	be	AUX
ajst-17929	123	65	the	the	DET
ajst-17929	123	66	minimum	minimum	ADJ
ajst-17929	123	67	value	value	NOUN
ajst-17929	123	68	of	of	ADP
ajst-17929	123	69	non	non	ADJ
ajst-17929	123	70	-	-	ADJ
ajst-17929	123	71	zero	zero	NUM
ajst-17929	123	72	.	.	PUNCT
ajst-17929	124	1	the	the	DET
ajst-17929	124	2	difference	difference	NOUN
ajst-17929	124	3	between	between	ADP
ajst-17929	124	4	equation	equation	NOUN
ajst-17929	124	5	(	(	PUNCT
ajst-17929	124	6	16	16	NUM
ajst-17929	124	7	)	)	PUNCT
ajst-17929	124	8	and	and	CCONJ
ajst-17929	124	9	equation	equation	NOUN
ajst-17929	124	10	(	(	PUNCT
ajst-17929	124	11	9	9	NUM
ajst-17929	124	12	)	)	PUNCT
ajst-17929	124	13	is	be	AUX
ajst-17929	124	14	that	that	SCONJ
ajst-17929	124	15	by	by	ADP
ajst-17929	124	16	introducing	introduce	VERB
ajst-17929	124	17	the	the	DET
ajst-17929	124	18	acceleration	acceleration	NOUN
ajst-17929	124	19	factor	factor	NOUN
ajst-17929	124	20	update	update	NOUN
ajst-17929	124	21	equation	equation	NOUN
ajst-17929	124	22	,	,	PUNCT
ajst-17929	124	23	perturbations	perturbation	NOUN
ajst-17929	124	24	of	of	ADP
ajst-17929	124	25	different	different	ADJ
ajst-17929	124	26	intensity	intensity	NOUN
ajst-17929	124	27	are	be	AUX
ajst-17929	124	28	added	add	VERB
ajst-17929	124	29	to	to	ADP
ajst-17929	124	30	the	the	DET
ajst-17929	124	31	particle	particle	NOUN
ajst-17929	124	32	swarm	swarm	NOUN
ajst-17929	124	33	,	,	PUNCT
ajst-17929	124	34	so	so	SCONJ
ajst-17929	124	35	that	that	SCONJ
ajst-17929	124	36	the	the	DET
ajst-17929	124	37	particles	particle	NOUN
ajst-17929	124	38	jump	jump	VERB
ajst-17929	124	39	out	out	ADP
ajst-17929	124	40	of	of	ADP
ajst-17929	124	41	the	the	DET
ajst-17929	124	42	current	current	ADJ
ajst-17929	124	43	search	search	NOUN
ajst-17929	124	44	area	area	NOUN
ajst-17929	124	45	,	,	PUNCT
ajst-17929	124	46	search	search	VERB
ajst-17929	124	47	again	again	ADV
ajst-17929	124	48	,	,	PUNCT
ajst-17929	124	49	and	and	CCONJ
ajst-17929	124	50	get	get	VERB
ajst-17929	124	51	closer	close	ADJ
ajst-17929	124	52	to	to	ADP
ajst-17929	124	53	the	the	DET
ajst-17929	124	54	global	global	ADJ
ajst-17929	124	55	optimal	optimal	ADJ
ajst-17929	124	56	position	position	NOUN
ajst-17929	124	57	,	,	PUNCT
ajst-17929	124	58	so	so	SCONJ
ajst-17929	124	59	as	as	SCONJ
ajst-17929	124	60	to	to	PART
ajst-17929	124	61	prevent	prevent	VERB
ajst-17929	124	62	the	the	DET
ajst-17929	124	63	particle	particle	NOUN
ajst-17929	124	64	swarm	swarm	NOUN
ajst-17929	124	65	from	from	ADP
ajst-17929	124	66	falling	fall	VERB
ajst-17929	124	67	into	into	ADP
ajst-17929	124	68	the	the	DET
ajst-17929	124	69	local	local	ADJ
ajst-17929	124	70	optimal	optimal	ADJ
ajst-17929	124	71	solution	solution	NOUN
ajst-17929	124	72	.	.	PUNCT
ajst-17929	125	1	2.4	2.4	NUM
ajst-17929	125	2	.	.	PUNCT
ajst-17929	125	3	improved	improve	VERB
ajst-17929	125	4	otsu	otsu	ADJ
ajst-17929	125	5	threshold	threshold	NOUN
ajst-17929	125	6	segmentation	segmentation	NOUN
ajst-17929	125	7	process	process	NOUN
ajst-17929	125	8	of	of	ADP
ajst-17929	125	9	particle	particle	NOUN
ajst-17929	125	10	swarm	swarm	NOUN
ajst-17929	125	11	optimization	optimization	NOUN
ajst-17929	125	12	algorithm	algorithm	NOUN
ajst-17929	125	13	.	.	PUNCT
ajst-17929	126	1	the	the	DET
ajst-17929	126	2	algorithm	algorithm	NOUN
ajst-17929	126	3	flow	flow	NOUN
ajst-17929	126	4	is	be	AUX
ajst-17929	126	5	shown	show	VERB
ajst-17929	126	6	in	in	ADP
ajst-17929	126	7	figure	figure	NOUN
ajst-17929	126	8	4	4	NUM
ajst-17929	126	9	.	.	PUNCT
ajst-17929	127	1	the	the	DET
ajst-17929	127	2	implementation	implementation	NOUN
ajst-17929	127	3	steps	step	NOUN
ajst-17929	127	4	of	of	ADP
ajst-17929	127	5	the	the	DET
ajst-17929	127	6	algorithm	algorithm	NOUN
ajst-17929	127	7	are	be	AUX
ajst-17929	127	8	as	as	SCONJ
ajst-17929	127	9	follows	follow	VERB
ajst-17929	127	10	:	:	PUNCT
ajst-17929	127	11	1	1	X
ajst-17929	127	12	)	)	PUNCT
ajst-17929	127	13	the	the	DET
ajst-17929	127	14	tool	tool	NOUN
ajst-17929	127	15	image	image	NOUN
ajst-17929	127	16	is	be	AUX
ajst-17929	127	17	preprocessed	preprocesse	VERB
ajst-17929	127	18	to	to	PART
ajst-17929	127	19	obtain	obtain	VERB
ajst-17929	127	20	the	the	DET
ajst-17929	127	21	gray	gray	ADJ
ajst-17929	127	22	level	level	NOUN
ajst-17929	127	23	histogram	histogram	NOUN
ajst-17929	127	24	of	of	ADP
ajst-17929	127	25	the	the	DET
ajst-17929	127	26	image	image	NOUN
ajst-17929	127	27	,	,	PUNCT
ajst-17929	127	28	and	and	CCONJ
ajst-17929	127	29	then	then	ADV
ajst-17929	127	30	the	the	DET
ajst-17929	127	31	gray	gray	ADJ
ajst-17929	127	32	level	level	NOUN
ajst-17929	127	33	histogram	histogram	NOUN
ajst-17929	127	34	is	be	AUX
ajst-17929	127	35	normalized	normalize	VERB
ajst-17929	127	36	.	.	PUNCT
ajst-17929	128	1	2	2	X
ajst-17929	128	2	)	)	PUNCT
ajst-17929	128	3	the	the	DET
ajst-17929	128	4	inter	inter	ADJ
ajst-17929	128	5	-	-	ADJ
ajst-17929	128	6	class	class	ADJ
ajst-17929	128	7	variance	variance	NOUN
ajst-17929	128	8	formula	formula	NOUN
ajst-17929	128	9	(	(	PUNCT
ajst-17929	128	10	8)	8)	NUM
ajst-17929	128	11	is	be	AUX
ajst-17929	128	12	derived	derive	VERB
ajst-17929	128	13	according	accord	VERB
ajst-17929	128	14	to	to	ADP
ajst-17929	128	15	equation	equation	NOUN
ajst-17929	128	16	(	(	PUNCT
ajst-17929	128	17	6	6	NUM
ajst-17929	128	18	)	)	PUNCT
ajst-17929	128	19	and	and	CCONJ
ajst-17929	128	20	equation	equation	NOUN
ajst-17929	128	21	(	(	PUNCT
ajst-17929	128	22	7	7	NUM
ajst-17929	128	23	)	)	PUNCT
ajst-17929	128	24	.	.	PUNCT
ajst-17929	129	1	in	in	ADP
ajst-17929	129	2	order	order	NOUN
ajst-17929	129	3	to	to	PART
ajst-17929	129	4	find	find	VERB
ajst-17929	129	5	the	the	DET
ajst-17929	129	6	maximum	maximum	ADJ
ajst-17929	129	7	segmentation	segmentation	NOUN
ajst-17929	129	8	threshold	threshold	NOUN
ajst-17929	129	9	for	for	ADP
ajst-17929	129	10	inter	inter	ADJ
ajst-17929	129	11	-	-	ADJ
ajst-17929	129	12	class	class	ADJ
ajst-17929	129	13	variance	variance	NOUN
ajst-17929	129	14	,	,	PUNCT
ajst-17929	129	15	the	the	DET
ajst-17929	129	16	improved	improve	VERB
ajst-17929	129	17	and	and	CCONJ
ajst-17929	129	18	optimized	optimize	VERB
ajst-17929	129	19	pso	pso	NOUN
ajst-17929	129	20	algorithm	algorithm	NOUN
ajst-17929	129	21	is	be	AUX
ajst-17929	129	22	adopted	adopt	VERB
ajst-17929	129	23	.	.	PUNCT
ajst-17929	130	1	3	3	X
ajst-17929	130	2	)	)	PUNCT
ajst-17929	130	3	set	set	VERB
ajst-17929	130	4	the	the	DET
ajst-17929	130	5	particle	particle	NOUN
ajst-17929	130	6	swarm	swarm	NOUN
ajst-17929	130	7	size	size	NOUN
ajst-17929	130	8	to	to	ADP
ajst-17929	130	9	n	n	CCONJ
ajst-17929	130	10	,	,	PUNCT
ajst-17929	130	11	randomly	randomly	ADV
ajst-17929	130	12	initialize	initialize	VERB
ajst-17929	130	13	the	the	DET
ajst-17929	130	14	particle	particle	NOUN
ajst-17929	130	15	position	position	NOUN
ajst-17929	130	16	and	and	CCONJ
ajst-17929	130	17	initial	initial	ADJ
ajst-17929	130	18	velocity	velocity	NOUN
ajst-17929	130	19	,	,	PUNCT
ajst-17929	130	20	and	and	CCONJ
ajst-17929	130	21	set	set	VERB
ajst-17929	130	22	the	the	DET
ajst-17929	130	23	maximum	maximum	ADJ
ajst-17929	130	24	inertia	inertia	NOUN
ajst-17929	130	25	weight	weight	NOUN
ajst-17929	130	26	value	value	NOUN
ajst-17929	130	27	ωmax	ωmax	ADV
ajst-17929	130	28	,	,	PUNCT
ajst-17929	130	29	minimum	minimum	NOUN
ajst-17929	130	30	inertia	inertia	NOUN
ajst-17929	130	31	weight	weight	NOUN
ajst-17929	130	32	value	value	NOUN
ajst-17929	130	33	ωmin	ωmin	NOUN
ajst-17929	130	34	,	,	PUNCT
ajst-17929	130	35	acceleration	acceleration	NOUN
ajst-17929	130	36	coefficient	coefficient	NOUN
ajst-17929	130	37	c1,c2	c1,c2	PROPN
ajst-17929	130	38	,	,	PUNCT
ajst-17929	130	39	maximum	maximum	ADJ
ajst-17929	130	40	number	number	NOUN
ajst-17929	130	41	of	of	ADP
ajst-17929	130	42	iterations	iteration	NOUN
ajst-17929	130	43	,	,	PUNCT
ajst-17929	130	44	etc	etc	X
ajst-17929	130	45	.	.	X
ajst-17929	130	46	4	4	X
ajst-17929	130	47	)	)	PUNCT
ajst-17929	130	48	use	use	NOUN
ajst-17929	130	49	formula	formula	NOUN
ajst-17929	130	50	(	(	PUNCT
ajst-17929	130	51	8)	8)	NUM
ajst-17929	130	52	as	as	ADP
ajst-17929	130	53	fitness	fitness	NOUN
ajst-17929	130	54	function	function	NOUN
ajst-17929	130	55	to	to	PART
ajst-17929	130	56	calculate	calculate	VERB
ajst-17929	130	57	the	the	DET
ajst-17929	130	58	fitness	fitness	NOUN
ajst-17929	130	59	value	value	NOUN
ajst-17929	130	60	of	of	ADP
ajst-17929	130	61	particles	particle	NOUN
ajst-17929	130	62	,	,	PUNCT
ajst-17929	130	63	and	and	CCONJ
ajst-17929	130	64	update	update	VERB
ajst-17929	130	65	the	the	DET
ajst-17929	130	66	individual	individual	ADJ
ajst-17929	130	67	optimal	optimal	ADJ
ajst-17929	130	68	position	position	NOUN
ajst-17929	130	69	pbest	pb	ADJ
ajst-17929	130	70	and	and	CCONJ
ajst-17929	130	71	global	global	ADJ
ajst-17929	130	72	optimal	optimal	ADJ
ajst-17929	130	73	position	position	NOUN
ajst-17929	130	74	gbest	gbest	NOUN
ajst-17929	130	75	for	for	ADP
ajst-17929	130	76	each	each	DET
ajst-17929	130	77	particle	particle	NOUN
ajst-17929	130	78	according	accord	VERB
ajst-17929	130	79	to	to	ADP
ajst-17929	130	80	the	the	DET
ajst-17929	130	81	fitness	fitness	NOUN
ajst-17929	130	82	value	value	NOUN
ajst-17929	130	83	.	.	PUNCT
ajst-17929	131	1	5	5	X
ajst-17929	131	2	)	)	PUNCT
ajst-17929	131	3	use	use	NOUN
ajst-17929	131	4	equations	equation	NOUN
ajst-17929	131	5	(	(	PUNCT
ajst-17929	131	6	9	9	NUM
ajst-17929	131	7	)	)	PUNCT
ajst-17929	131	8	and	and	CCONJ
ajst-17929	131	9	(	(	PUNCT
ajst-17929	131	10	10	10	NUM
ajst-17929	131	11	)	)	PUNCT
ajst-17929	131	12	to	to	PART
ajst-17929	131	13	calculate	calculate	VERB
ajst-17929	131	14	the	the	DET
ajst-17929	131	15	position	position	NOUN
ajst-17929	131	16	and	and	CCONJ
ajst-17929	131	17	velocity	velocity	NOUN
ajst-17929	131	18	of	of	ADP
ajst-17929	131	19	the	the	DET
ajst-17929	131	20	particle	particle	NOUN
ajst-17929	131	21	update	update	NOUN
ajst-17929	131	22	:	:	PUNCT
ajst-17929	131	23	in	in	ADP
ajst-17929	131	24	the	the	DET
ajst-17929	131	25	iterative	iterative	NOUN
ajst-17929	131	26	process	process	NOUN
ajst-17929	131	27	,	,	PUNCT
ajst-17929	131	28	the	the	DET
ajst-17929	131	29	inertia	inertia	NOUN
ajst-17929	131	30	coefficient	coefficient	NOUN
ajst-17929	131	31	of	of	ADP
ajst-17929	131	32	the	the	DET
ajst-17929	131	33	particle	particle	NOUN
ajst-17929	131	34	swarm	swarm	NOUN
ajst-17929	131	35	is	be	AUX
ajst-17929	131	36	reduced	reduce	VERB
ajst-17929	131	37	by	by	ADP
ajst-17929	131	38	the	the	DET
ajst-17929	131	39	cosine	cosine	NOUN
ajst-17929	131	40	according	accord	VERB
ajst-17929	131	41	to	to	ADP
ajst-17929	131	42	equation	equation	NOUN
ajst-17929	131	43	(	(	PUNCT
ajst-17929	131	44	12	12	NUM
ajst-17929	131	45	)	)	PUNCT
ajst-17929	131	46	.	.	PUNCT
ajst-17929	132	1	6	6	X
ajst-17929	132	2	)	)	PUNCT
ajst-17929	132	3	iterate	iterate	NOUN
ajst-17929	132	4	for	for	ADP
ajst-17929	132	5	three	three	NUM
ajst-17929	132	6	consecutive	consecutive	ADJ
ajst-17929	132	7	times	time	NOUN
ajst-17929	132	8	to	to	PART
ajst-17929	132	9	determine	determine	VERB
ajst-17929	132	10	f	f	PROPN
ajst-17929	132	11	(	(	PUNCT
ajst-17929	132	12	xm+	xm+	PROPN
ajst-17929	132	13	)	)	PUNCT
ajst-17929	132	14	&	&	CCONJ
ajst-17929	132	15	gt	gt	PROPN
ajst-17929	132	16	;	;	PUNCT
ajst-17929	132	17	whether	whether	SCONJ
ajst-17929	132	18	f(xm	f(xm	NOUN
ajst-17929	132	19	)	)	PUNCT
ajst-17929	132	20	is	be	AUX
ajst-17929	132	21	true	true	ADJ
ajst-17929	132	22	(	(	PUNCT
ajst-17929	132	23	the	the	DET
ajst-17929	132	24	state	state	NOUN
ajst-17929	132	25	function	function	NOUN
ajst-17929	132	26	fitness	fitness	NOUN
ajst-17929	132	27	value	value	NOUN
ajst-17929	132	28	of	of	ADP
ajst-17929	132	29	this	this	DET
ajst-17929	132	30	iteration	iteration	NOUN
ajst-17929	132	31	is	be	AUX
ajst-17929	132	32	greater	great	ADJ
ajst-17929	132	33	than	than	ADP
ajst-17929	132	34	the	the	DET
ajst-17929	132	35	state	state	NOUN
ajst-17929	132	36	function	function	NOUN
ajst-17929	132	37	fitness	fitness	NOUN
ajst-17929	132	38	value	value	NOUN
ajst-17929	132	39	of	of	ADP
ajst-17929	132	40	the	the	DET
ajst-17929	132	41	last	last	ADJ
ajst-17929	132	42	iteration	iteration	NOUN
ajst-17929	132	43	)	)	PUNCT
ajst-17929	132	44	if	if	SCONJ
ajst-17929	132	45	yes	yes	ADV
ajst-17929	132	46	,	,	PUNCT
ajst-17929	132	47	jump	jump	VERB
ajst-17929	132	48	to	to	PART
ajst-17929	132	49	step	step	VERB
ajst-17929	132	50	5	5	NUM
ajst-17929	132	51	)	)	PUNCT
ajst-17929	132	52	,	,	PUNCT
ajst-17929	132	53	otherwise	otherwise	ADV
ajst-17929	132	54	return	return	VERB
ajst-17929	132	55	to	to	PART
ajst-17929	132	56	step	step	VERB
ajst-17929	132	57	4	4	NUM
ajst-17929	132	58	)	)	PUNCT
ajst-17929	132	59	.	.	PUNCT
ajst-17929	133	1	7	7	X
ajst-17929	133	2	)	)	PUNCT
ajst-17929	133	3	use	use	NOUN
ajst-17929	133	4	formula	formula	NOUN
ajst-17929	133	5	(	(	PUNCT
ajst-17929	133	6	16	16	NUM
ajst-17929	133	7	)	)	PUNCT
ajst-17929	133	8	to	to	PART
ajst-17929	133	9	add	add	VERB
ajst-17929	133	10	perturbations	perturbation	NOUN
ajst-17929	133	11	to	to	ADP
ajst-17929	133	12	the	the	DET
ajst-17929	133	13	particle	particle	NOUN
ajst-17929	133	14	swarm	swarm	NOUN
ajst-17929	133	15	.	.	PUNCT
ajst-17929	134	1	8)	8)	NUM
ajst-17929	134	2	three	three	NUM
ajst-17929	134	3	consecutive	consecutive	ADJ
ajst-17929	134	4	iterations	iteration	NOUN
ajst-17929	134	5	to	to	PART
ajst-17929	134	6	determine	determine	VERB
ajst-17929	134	7	f(xm+1)&gt	f(xm+1)&gt	NOUN
ajst-17929	134	8	;	;	PUNCT
ajst-17929	134	9	if	if	SCONJ
ajst-17929	134	10	yes	yes	ADV
ajst-17929	134	11	,	,	PUNCT
ajst-17929	134	12	go	go	VERB
ajst-17929	134	13	to	to	PART
ajst-17929	134	14	step	step	VERB
ajst-17929	134	15	7	7	NUM
ajst-17929	134	16	.	.	PUNCT
ajst-17929	135	1	if	if	SCONJ
ajst-17929	135	2	no	no	ADV
ajst-17929	135	3	,	,	PUNCT
ajst-17929	135	4	go	go	VERB
ajst-17929	135	5	to	to	PART
ajst-17929	135	6	step	step	VERB
ajst-17929	135	7	3	3	NUM
ajst-17929	135	8	.	.	NOUN
ajst-17929	135	9	9	9	NUM
ajst-17929	135	10	)	)	PUNCT
ajst-17929	135	11	calculate	calculate	VERB
ajst-17929	135	12	the	the	DET
ajst-17929	135	13	updated	update	VERB
ajst-17929	135	14	particle	particle	NOUN
ajst-17929	135	15	fitness	fitness	NOUN
ajst-17929	135	16	value	value	NOUN
ajst-17929	135	17	and	and	CCONJ
ajst-17929	135	18	record	record	VERB
ajst-17929	135	19	the	the	DET
ajst-17929	135	20	result	result	NOUN
ajst-17929	135	21	to	to	ADP
ajst-17929	135	22	the	the	DET
ajst-17929	135	23	individual	individual	ADJ
ajst-17929	135	24	optimal	optimal	ADJ
ajst-17929	135	25	position	position	NOUN
ajst-17929	135	26	and	and	CCONJ
ajst-17929	135	27	the	the	DET
ajst-17929	135	28	global	global	ADJ
ajst-17929	135	29	optimal	optimal	ADJ
ajst-17929	135	30	position	position	NOUN
ajst-17929	135	31	.	.	PUNCT
ajst-17929	136	1	then	then	ADV
ajst-17929	136	2	,	,	PUNCT
ajst-17929	136	3	we	we	PRON
ajst-17929	136	4	continue	continue	VERB
ajst-17929	136	5	to	to	PART
ajst-17929	136	6	use	use	VERB
ajst-17929	136	7	formula	formula	NOUN
ajst-17929	136	8	(	(	PUNCT
ajst-17929	136	9	9	9	NUM
ajst-17929	136	10	)	)	PUNCT
ajst-17929	136	11	and	and	CCONJ
ajst-17929	136	12	(	(	PUNCT
ajst-17929	136	13	10	10	NUM
ajst-17929	136	14	)	)	PUNCT
ajst-17929	136	15	to	to	PART
ajst-17929	136	16	update	update	VERB
ajst-17929	136	17	the	the	DET
ajst-17929	136	18	particle	particle	NOUN
ajst-17929	136	19	position	position	NOUN
ajst-17929	136	20	and	and	CCONJ
ajst-17929	136	21	velocity	velocity	NOUN
ajst-17929	136	22	.	.	PUNCT
ajst-17929	137	1	10	10	NUM
ajst-17929	137	2	)	)	PUNCT
ajst-17929	137	3	if	if	SCONJ
ajst-17929	137	4	the	the	DET
ajst-17929	137	5	number	number	NOUN
ajst-17929	137	6	of	of	ADP
ajst-17929	137	7	continuous	continuous	ADJ
ajst-17929	137	8	invariable	invariable	ADJ
ajst-17929	137	9	particle	particle	NOUN
ajst-17929	137	10	swarm	swarm	NOUN
ajst-17929	137	11	optimal	optimal	ADJ
ajst-17929	137	12	adaptation	adaptation	NOUN
ajst-17929	137	13	values	value	NOUN
ajst-17929	137	14	reaches	reach	VERB
ajst-17929	137	15	the	the	DET
ajst-17929	137	16	specified	specify	VERB
ajst-17929	137	17	value	value	NOUN
ajst-17929	137	18	or	or	CCONJ
ajst-17929	137	19	the	the	DET
ajst-17929	137	20	number	number	NOUN
ajst-17929	137	21	of	of	ADP
ajst-17929	137	22	algorithm	algorithm	NOUN
ajst-17929	137	23	iterations	iteration	NOUN
ajst-17929	137	24	reaches	reach	VERB
ajst-17929	137	25	the	the	DET
ajst-17929	137	26	set	set	NOUN
ajst-17929	137	27	value	value	NOUN
ajst-17929	137	28	.	.	PUNCT
ajst-17929	138	1	then	then	ADV
ajst-17929	138	2	the	the	DET
ajst-17929	138	3	global	global	ADJ
ajst-17929	138	4	optimal	optimal	ADJ
ajst-17929	138	5	position	position	NOUN
ajst-17929	138	6	gbest	gb	ADJ
ajst-17929	138	7	is	be	AUX
ajst-17929	138	8	output	output	NOUN
ajst-17929	138	9	as	as	ADP
ajst-17929	138	10	the	the	DET
ajst-17929	138	11	optimal	optimal	ADJ
ajst-17929	138	12	segmentation	segmentation	NOUN
ajst-17929	138	13	threshold	threshold	NOUN
ajst-17929	138	14	k.	k.	PROPN
ajst-17929	138	15	11	11	NUM
ajst-17929	138	16	)	)	PUNCT
ajst-17929	138	17	set	set	VERB
ajst-17929	138	18	k	k	PROPN
ajst-17929	138	19	as	as	ADP
ajst-17929	138	20	the	the	DET
ajst-17929	138	21	segmentation	segmentation	NOUN
ajst-17929	138	22	threshold	threshold	NOUN
ajst-17929	138	23	for	for	ADP
ajst-17929	138	24	image	image	NOUN
ajst-17929	138	25	segmentation	segmentation	NOUN
ajst-17929	138	26	.	.	PUNCT
ajst-17929	139	1	3	3	X
ajst-17929	139	2	.	.	X
ajst-17929	139	3	experimental	experimental	ADJ
ajst-17929	139	4	results	result	NOUN
ajst-17929	139	5	and	and	CCONJ
ajst-17929	139	6	analysis	analysis	NOUN
ajst-17929	139	7	in	in	ADP
ajst-17929	139	8	order	order	NOUN
ajst-17929	139	9	to	to	PART
ajst-17929	139	10	verify	verify	VERB
ajst-17929	139	11	the	the	DET
ajst-17929	139	12	effectiveness	effectiveness	NOUN
ajst-17929	139	13	of	of	ADP
ajst-17929	139	14	the	the	DET
ajst-17929	139	15	application	application	NOUN
ajst-17929	139	16	of	of	ADP
ajst-17929	139	17	the	the	DET
ajst-17929	139	18	improved	improve	VERB
ajst-17929	139	19	particle	particle	NOUN
ajst-17929	139	20	swarm	swarm	NOUN
ajst-17929	139	21	optimization	optimization	NOUN
ajst-17929	139	22	otsu	otsu	NOUN
ajst-17929	139	23	algorithm	algorithm	NOUN
ajst-17929	139	24	in	in	ADP
ajst-17929	139	25	the	the	DET
ajst-17929	139	26	process	process	NOUN
ajst-17929	139	27	of	of	ADP
ajst-17929	139	28	tool	tool	NOUN
ajst-17929	139	29	defect	defect	NOUN
ajst-17929	139	30	detection	detection	NOUN
ajst-17929	139	31	,	,	PUNCT
ajst-17929	139	32	this	this	DET
ajst-17929	139	33	paper	paper	NOUN
ajst-17929	139	34	built	build	VERB
ajst-17929	139	35	an	an	DET
ajst-17929	139	36	image	image	NOUN
ajst-17929	139	37	acquisition	acquisition	NOUN
ajst-17929	139	38	platform	platform	NOUN
ajst-17929	139	39	,	,	PUNCT
ajst-17929	139	40	as	as	SCONJ
ajst-17929	139	41	shown	show	VERB
ajst-17929	139	42	in	in	ADP
ajst-17929	139	43	fig	fig	NOUN
ajst-17929	139	44	.	.	PUNCT
ajst-17929	140	1	4	4	NUM
ajst-17929	140	2	,	,	PUNCT
ajst-17929	140	3	which	which	PRON
ajst-17929	140	4	mainly	mainly	ADV
ajst-17929	140	5	consists	consist	VERB
ajst-17929	140	6	of	of	ADP
ajst-17929	140	7	5	5	NUM
ajst-17929	140	8	million	million	NUM
ajst-17929	140	9	pixel	pixel	PROPN
ajst-17929	140	10	ccd	ccd	PROPN
ajst-17929	140	11	camera	camera	NOUN
ajst-17929	140	12	,	,	PUNCT
ajst-17929	140	13	18fa0828	18fa0828	NUM
ajst-17929	140	14	-	-	PUNCT
ajst-17929	140	15	6mp	6mp	ADJ
ajst-17929	140	16	industrial	industrial	ADJ
ajst-17929	140	17	lens	len	NOUN
ajst-17929	140	18	,	,	PUNCT
ajst-17929	140	19	dot	dot	NOUN
ajst-17929	140	20	matrix	matrix	NOUN
ajst-17929	140	21	light	light	NOUN
ajst-17929	140	22	source	source	NOUN
ajst-17929	140	23	,	,	PUNCT
ajst-17929	140	24	base	base	NOUN
ajst-17929	140	25	and	and	CCONJ
ajst-17929	140	26	camera	camera	NOUN
ajst-17929	140	27	support	support	NOUN
ajst-17929	141	1	[	[	X
ajst-17929	141	2	18	18	NUM
ajst-17929	141	3	]	]	PUNCT
ajst-17929	141	4	.	.	PUNCT
ajst-17929	142	1	the	the	DET
ajst-17929	142	2	base	base	NOUN
ajst-17929	142	3	is	be	AUX
ajst-17929	142	4	placed	place	VERB
ajst-17929	142	5	on	on	ADP
ajst-17929	142	6	a	a	DET
ajst-17929	142	7	horizontal	horizontal	ADJ
ajst-17929	142	8	table	table	NOUN
ajst-17929	142	9	,	,	PUNCT
ajst-17929	142	10	and	and	CCONJ
ajst-17929	142	11	the	the	DET
ajst-17929	142	12	base	base	NOUN
ajst-17929	142	13	is	be	AUX
ajst-17929	142	14	provided	provide	VERB
ajst-17929	142	15	with	with	ADP
ajst-17929	142	16	a	a	DET
ajst-17929	142	17	dot	dot	NOUN
ajst-17929	142	18	matrix	matrix	NOUN
ajst-17929	142	19	light	light	NOUN
ajst-17929	142	20	source	source	NOUN
ajst-17929	142	21	to	to	PART
ajst-17929	142	22	provide	provide	VERB
ajst-17929	142	23	a	a	DET
ajst-17929	142	24	good	good	ADJ
ajst-17929	142	25	image	image	NOUN
ajst-17929	142	26	acquisition	acquisition	NOUN
ajst-17929	142	27	environment	environment	NOUN
ajst-17929	142	28	for	for	ADP
ajst-17929	142	29	the	the	DET
ajst-17929	142	30	camera	camera	NOUN
ajst-17929	142	31	.	.	PUNCT
ajst-17929	143	1	the	the	DET
ajst-17929	143	2	camera	camera	NOUN
ajst-17929	143	3	bracket	bracket	NOUN
ajst-17929	143	4	is	be	AUX
ajst-17929	143	5	vertically	vertically	ADV
ajst-17929	143	6	fixed	fix	VERB
ajst-17929	143	7	on	on	ADP
ajst-17929	143	8	the	the	DET
ajst-17929	143	9	base	base	NOUN
ajst-17929	143	10	,	,	PUNCT
ajst-17929	143	11	the	the	DET
ajst-17929	143	12	industrial	industrial	ADJ
ajst-17929	143	13	camera	camera	NOUN
ajst-17929	143	14	is	be	AUX
ajst-17929	143	15	fixed	fix	VERB
ajst-17929	143	16	through	through	ADP
ajst-17929	143	17	the	the	DET
ajst-17929	143	18	beam	beam	NOUN
ajst-17929	143	19	bracket	bracket	NOUN
ajst-17929	143	20	and	and	CCONJ
ajst-17929	143	21	is	be	AUX
ajst-17929	143	22	horizontal	horizontal	ADJ
ajst-17929	143	23	with	with	ADP
ajst-17929	143	24	the	the	DET
ajst-17929	143	25	vertical	vertical	ADJ
ajst-17929	143	26	bracket	bracket	NOUN
ajst-17929	143	27	,	,	PUNCT
ajst-17929	143	28	and	and	CCONJ
ajst-17929	143	29	the	the	DET
ajst-17929	143	30	image	image	NOUN
ajst-17929	143	31	detection	detection	NOUN
ajst-17929	143	32	table	table	NOUN
ajst-17929	143	33	is	be	AUX
ajst-17929	143	34	vertically	vertically	ADV
ajst-17929	143	35	fixed	fix	VERB
ajst-17929	143	36	with	with	ADP
ajst-17929	143	37	the	the	DET
ajst-17929	143	38	vertical	vertical	ADJ
ajst-17929	143	39	bracket	bracket	NOUN
ajst-17929	143	40	.	.	PUNCT
ajst-17929	144	1	figure	figure	NOUN
ajst-17929	144	2	3	3	NUM
ajst-17929	144	3	.	.	PUNCT
ajst-17929	144	4	image	image	NOUN
ajst-17929	144	5	acquisition	acquisition	NOUN
ajst-17929	144	6	device	device	NOUN
ajst-17929	144	7	before	before	ADP
ajst-17929	144	8	preparing	prepare	VERB
ajst-17929	144	9	for	for	ADP
ajst-17929	144	10	testing	testing	NOUN
ajst-17929	144	11	,	,	PUNCT
ajst-17929	144	12	it	it	PRON
ajst-17929	144	13	is	be	AUX
ajst-17929	144	14	first	first	ADV
ajst-17929	144	15	necessary	necessary	ADJ
ajst-17929	144	16	to	to	PART
ajst-17929	144	17	clean	clean	VERB
ajst-17929	144	18	the	the	DET
ajst-17929	144	19	tool	tool	NOUN
ajst-17929	144	20	.	.	PUNCT
ajst-17929	145	1	then	then	ADV
ajst-17929	145	2	fix	fix	VERB
ajst-17929	145	3	the	the	DET
ajst-17929	145	4	tool	tool	NOUN
ajst-17929	145	5	on	on	ADP
ajst-17929	145	6	the	the	DET
ajst-17929	145	7	image	image	NOUN
ajst-17929	145	8	detection	detection	NOUN
ajst-17929	145	9	table	table	NOUN
ajst-17929	145	10	,	,	PUNCT
ajst-17929	145	11	adjust	adjust	VERB
ajst-17929	145	12	the	the	DET
ajst-17929	145	13	distance	distance	NOUN
ajst-17929	145	14	between	between	ADP
ajst-17929	145	15	the	the	DET
ajst-17929	145	16	camera	camera	NOUN
ajst-17929	145	17	and	and	CCONJ
ajst-17929	145	18	the	the	DET
ajst-17929	145	19	tool	tool	NOUN
ajst-17929	145	20	by	by	ADP
ajst-17929	145	21	adjusting	adjust	VERB
ajst-17929	145	22	the	the	DET
ajst-17929	145	23	beam	beam	NOUN
ajst-17929	145	24	support	support	NOUN
ajst-17929	145	25	to	to	PART
ajst-17929	145	26	get	get	VERB
ajst-17929	145	27	a	a	DET
ajst-17929	145	28	clear	clear	ADJ
ajst-17929	145	29	image	image	NOUN
ajst-17929	145	30	of	of	ADP
ajst-17929	145	31	the	the	DET
ajst-17929	145	32	tool	tool	NOUN
ajst-17929	145	33	damage	damage	NOUN
ajst-17929	145	34	.	.	PUNCT
ajst-17929	146	1	finally	finally	ADV
ajst-17929	146	2	,	,	PUNCT
ajst-17929	146	3	the	the	DET
ajst-17929	146	4	ccd	ccd	PROPN
ajst-17929	146	5	industrial	industrial	ADJ
ajst-17929	146	6	camera	camera	NOUN
ajst-17929	146	7	is	be	AUX
ajst-17929	146	8	used	use	VERB
ajst-17929	146	9	to	to	PART
ajst-17929	146	10	collect	collect	VERB
ajst-17929	146	11	the	the	DET
ajst-17929	146	12	information	information	NOUN
ajst-17929	146	13	of	of	ADP
ajst-17929	146	14	the	the	DET
ajst-17929	146	15	tool	tool	NOUN
ajst-17929	146	16	back	back	NOUN
ajst-17929	146	17	tool	tool	NOUN
ajst-17929	146	18	face	face	NOUN
ajst-17929	146	19	and	and	CCONJ
ajst-17929	146	20	then	then	ADV
ajst-17929	146	21	transmit	transmit	VERB
ajst-17929	146	22	it	it	PRON
ajst-17929	146	23	to	to	PART
ajst-17929	146	24	pc	pc	VERB
ajst-17929	146	25	for	for	ADP
ajst-17929	146	26	the	the	DET
ajst-17929	146	27	next	next	ADJ
ajst-17929	146	28	step	step	NOUN
ajst-17929	146	29	of	of	ADP
ajst-17929	146	30	image	image	NOUN
ajst-17929	146	31	processing	processing	NOUN
ajst-17929	146	32	.	.	PUNCT
ajst-17929	147	1	pc	pc	NOUN
ajst-17929	147	2	configuration	configuration	NOUN
ajst-17929	147	3	:	:	PUNCT
ajst-17929	147	4	intel(r)core(tm)i5104004,8gram	intel(r)core(tm)i5104004,8gram	NOUN
ajst-17929	147	5	,	,	PUNCT
ajst-17929	147	6	matlab	matlab	PROPN
ajst-17929	147	7	r2022a	r2022a	PROPN
ajst-17929	147	8	.	.	PUNCT
ajst-17929	148	1	in	in	ADP
ajst-17929	148	2	order	order	NOUN
ajst-17929	148	3	to	to	PART
ajst-17929	148	4	verify	verify	VERB
ajst-17929	148	5	the	the	DET
ajst-17929	148	6	effectiveness	effectiveness	NOUN
ajst-17929	148	7	of	of	ADP
ajst-17929	148	8	the	the	DET
ajst-17929	148	9	tool	tool	NOUN
ajst-17929	148	10	detection	detection	NOUN
ajst-17929	148	11	algorithm	algorithm	NOUN
ajst-17929	148	12	proposed	propose	VERB
ajst-17929	148	13	in	in	ADP
ajst-17929	148	14	this	this	DET
ajst-17929	148	15	paper	paper	NOUN
ajst-17929	148	16	,	,	PUNCT
ajst-17929	148	17	4	4	NUM
ajst-17929	148	18	tools	tool	NOUN
ajst-17929	148	19	with	with	ADP
ajst-17929	148	20	different	different	ADJ
ajst-17929	148	21	wear	wear	NOUN
ajst-17929	148	22	degrees	degree	NOUN
ajst-17929	148	23	were	be	AUX
ajst-17929	148	24	selected	select	VERB
ajst-17929	148	25	as	as	ADP
ajst-17929	148	26	samples	sample	NOUN
ajst-17929	148	27	for	for	ADP
ajst-17929	148	28	experiments	experiment	NOUN
ajst-17929	148	29	.	.	PUNCT
ajst-17929	149	1	the	the	DET
ajst-17929	149	2	real	real	ADJ
ajst-17929	149	3	wear	wear	NOUN
ajst-17929	149	4	of	of	ADP
ajst-17929	149	5	the	the	DET
ajst-17929	149	6	tool	tool	NOUN
ajst-17929	149	7	was	be	AUX
ajst-17929	149	8	measured	measure	VERB
ajst-17929	149	9	by	by	ADP
ajst-17929	149	10	the	the	DET
ajst-17929	149	11	microscope	microscope	NOUN
ajst-17929	149	12	.	.	PUNCT
ajst-17929	150	1	at	at	ADP
ajst-17929	150	2	the	the	DET
ajst-17929	150	3	same	same	ADJ
ajst-17929	150	4	time	time	NOUN
ajst-17929	150	5	,	,	PUNCT
ajst-17929	150	6	the	the	DET
ajst-17929	150	7	algorithm	algorithm	NOUN
ajst-17929	150	8	in	in	ADP
ajst-17929	150	9	this	this	DET
ajst-17929	150	10	paper	paper	NOUN
ajst-17929	150	11	was	be	AUX
ajst-17929	150	12	used	use	VERB
ajst-17929	150	13	to	to	PART
ajst-17929	150	14	carry	carry	VERB
ajst-17929	150	15	out	out	ADP
ajst-17929	150	16	repeated	repeat	VERB
ajst-17929	150	17	experiments	experiment	NOUN
ajst-17929	150	18	on	on	ADP
ajst-17929	150	19	four	four	NUM
ajst-17929	150	20	tools	tool	NOUN
ajst-17929	150	21	,	,	PUNCT
ajst-17929	150	22	record	record	VERB
ajst-17929	150	23	the	the	DET
ajst-17929	150	24	experimental	experimental	ADJ
ajst-17929	150	25	results	result	NOUN
ajst-17929	150	26	and	and	CCONJ
ajst-17929	150	27	calculate	calculate	VERB
ajst-17929	150	28	the	the	DET
ajst-17929	150	29	average	average	ADJ
ajst-17929	150	30	accuracy	accuracy	NOUN
ajst-17929	150	31	.	.	PUNCT
ajst-17929	151	1	the	the	DET
ajst-17929	151	2	average	average	ADJ
ajst-17929	151	3	accuracy	accuracy	NOUN
ajst-17929	151	4	rate	rate	NOUN
ajst-17929	151	5	is	be	AUX
ajst-17929	151	6	calculated	calculate	VERB
ajst-17929	151	7	as	as	SCONJ
ajst-17929	151	8	follows	follow	VERB
ajst-17929	151	9	:	:	PUNCT
ajst-17929	151	10	1	1	NUM
ajst-17929	151	11	1	1	NUM
ajst-17929	152	1	|	|	ADV
ajst-17929	152	2	|n	|n	AUX
ajst-17929	152	3	i	i	PRON
ajst-17929	153	1	i	i	PRON
ajst-17929	153	2	ii	ii	VERB
ajst-17929	153	3	x	x	VERB
ajst-17929	153	4	y	y	PROPN
ajst-17929	153	5	n	n	CCONJ
ajst-17929	153	6	y	y	PROPN
ajst-17929	153	7			VERB
ajst-17929	154	1			NUM
ajst-17929	154	2			PROPN
ajst-17929	154	3			NUM
ajst-17929	154	4	（1）100	（1）100	NOUN
ajst-17929	154	5	%	%	NOUN
ajst-17929	154	6	where	where	SCONJ
ajst-17929	154	7	,	,	PUNCT
ajst-17929	154	8	is	be	AUX
ajst-17929	154	9	the	the	DET
ajst-17929	154	10	average	average	ADJ
ajst-17929	154	11	accuracy	accuracy	NOUN
ajst-17929	154	12	,	,	PUNCT
ajst-17929	154	13	is	be	AUX
ajst-17929	154	14	the	the	DET
ajst-17929	154	15	true	true	ADJ
ajst-17929	154	16	value	value	NOUN
ajst-17929	154	17	,	,	PUNCT
ajst-17929	154	18	is	be	AUX
ajst-17929	154	19	the	the	DET
ajst-17929	154	20	measured	measured	ADJ
ajst-17929	154	21	value	value	NOUN
ajst-17929	154	22	,	,	PUNCT
ajst-17929	154	23	and	and	CCONJ
ajst-17929	154	24	n	n	PRON
ajst-17929	154	25	is	be	AUX
ajst-17929	154	26	the	the	DET
ajst-17929	154	27	number	number	NOUN
ajst-17929	154	28	of	of	ADP
ajst-17929	154	29	experiments	experiment	NOUN
ajst-17929	154	30	.	.	PUNCT
ajst-17929	155	1	the	the	DET
ajst-17929	155	2	measured	measured	ADJ
ajst-17929	155	3	values	value	NOUN
ajst-17929	155	4	were	be	AUX
ajst-17929	155	5	selected	select	VERB
ajst-17929	155	6	to	to	PART
ajst-17929	155	7	calculate	calculate	VERB
ajst-17929	155	8	the	the	DET
ajst-17929	155	9	average	average	ADJ
ajst-17929	155	10	damage	damage	NOUN
ajst-17929	155	11	width	width	NOUN
ajst-17929	155	12	of	of	ADP
ajst-17929	155	13	the	the	DET
ajst-17929	155	14	tool	tool	NOUN
ajst-17929	155	15	surface	surface	NOUN
ajst-17929	155	16	.	.	PUNCT
ajst-17929	156	1	figure	figure	NOUN
ajst-17929	156	2	3	3	NUM
ajst-17929	156	3	shows	show	VERB
ajst-17929	156	4	the	the	DET
ajst-17929	156	5	recognition	recognition	NOUN
ajst-17929	156	6	effect	effect	NOUN
ajst-17929	156	7	of	of	ADP
ajst-17929	156	8	the	the	DET
ajst-17929	156	9	improved	improve	VERB
ajst-17929	156	10	pso+otsu	pso+otsu	NOUN
ajst-17929	156	11	algorithm	algorithm	NOUN
ajst-17929	156	12	for	for	ADP
ajst-17929	156	13	four	four	NUM
ajst-17929	156	14	tools	tool	NOUN
ajst-17929	156	15	with	with	ADP
ajst-17929	156	16	different	different	ADJ
ajst-17929	156	17	wear	wear	NOUN
ajst-17929	156	18	234	234	NUM
ajst-17929	156	19	degrees	degree	NOUN
ajst-17929	156	20	and	and	CCONJ
ajst-17929	156	21	different	different	ADJ
ajst-17929	156	22	lighting	lighting	NOUN
ajst-17929	156	23	conditions	condition	NOUN
ajst-17929	156	24	.	.	PUNCT
ajst-17929	157	1	it	it	PRON
ajst-17929	157	2	can	can	AUX
ajst-17929	157	3	be	be	AUX
ajst-17929	157	4	seen	see	VERB
ajst-17929	157	5	that	that	SCONJ
ajst-17929	157	6	in	in	ADP
ajst-17929	157	7	different	different	ADJ
ajst-17929	157	8	lighting	lighting	NOUN
ajst-17929	157	9	environments	environment	NOUN
ajst-17929	157	10	,	,	PUNCT
ajst-17929	157	11	the	the	DET
ajst-17929	157	12	algorithm	algorithm	NOUN
ajst-17929	157	13	has	have	VERB
ajst-17929	157	14	a	a	DET
ajst-17929	157	15	good	good	ADJ
ajst-17929	157	16	effect	effect	NOUN
ajst-17929	157	17	on	on	ADP
ajst-17929	157	18	noise	noise	NOUN
ajst-17929	157	19	processing	processing	NOUN
ajst-17929	157	20	,	,	PUNCT
ajst-17929	157	21	and	and	CCONJ
ajst-17929	157	22	can	can	AUX
ajst-17929	157	23	accurately	accurately	ADV
ajst-17929	157	24	and	and	CCONJ
ajst-17929	157	25	effectively	effectively	ADV
ajst-17929	157	26	extract	extract	VERB
ajst-17929	157	27	the	the	DET
ajst-17929	157	28	tool	tool	NOUN
ajst-17929	157	29	damage	damage	NOUN
ajst-17929	157	30	area	area	NOUN
ajst-17929	157	31	.	.	PUNCT
ajst-17929	158	1	#	#	SYM
ajst-17929	158	2	1	1	NUM
ajst-17929	158	3	is	be	AUX
ajst-17929	158	4	the	the	DET
ajst-17929	158	5	first	first	ADJ
ajst-17929	158	6	tool	tool	NOUN
ajst-17929	158	7	,	,	PUNCT
ajst-17929	158	8	#	#	SYM
ajst-17929	158	9	2	2	NUM
ajst-17929	158	10	is	be	AUX
ajst-17929	158	11	the	the	DET
ajst-17929	158	12	second	second	ADJ
ajst-17929	158	13	tool	tool	NOUN
ajst-17929	158	14	,	,	PUNCT
ajst-17929	158	15	#	#	SYM
ajst-17929	158	16	3	3	NUM
ajst-17929	158	17	is	be	AUX
ajst-17929	158	18	the	the	DET
ajst-17929	158	19	third	third	ADJ
ajst-17929	158	20	tool	tool	NOUN
ajst-17929	158	21	,	,	PUNCT
ajst-17929	158	22	and	and	CCONJ
ajst-17929	158	23	#	#	SYM
ajst-17929	158	24	4	4	NUM
ajst-17929	158	25	is	be	AUX
ajst-17929	158	26	the	the	DET
ajst-17929	158	27	fourth	fourth	ADJ
ajst-17929	158	28	tool	tool	NOUN
ajst-17929	158	29	.	.	PUNCT
ajst-17929	159	1	the	the	DET
ajst-17929	159	2	figure	figure	NOUN
ajst-17929	159	3	shows	show	VERB
ajst-17929	159	4	the	the	DET
ajst-17929	159	5	average	average	ADJ
ajst-17929	159	6	result	result	NOUN
ajst-17929	159	7	of	of	ADP
ajst-17929	159	8	the	the	DET
ajst-17929	159	9	damage	damage	NOUN
ajst-17929	159	10	amount	amount	NOUN
ajst-17929	159	11	of	of	ADP
ajst-17929	159	12	the	the	DET
ajst-17929	159	13	four	four	NUM
ajst-17929	159	14	tools	tool	NOUN
ajst-17929	159	15	by	by	ADP
ajst-17929	159	16	the	the	DET
ajst-17929	159	17	algorithm	algorithm	NOUN
ajst-17929	159	18	in	in	ADP
ajst-17929	159	19	this	this	DET
ajst-17929	159	20	paper	paper	NOUN
ajst-17929	159	21	.	.	PUNCT
ajst-17929	160	1	(	(	PUNCT
ajst-17929	160	2	a	a	X
ajst-17929	160	3	)	)	PUNCT
ajst-17929	160	4	is	be	AUX
ajst-17929	160	5	the	the	DET
ajst-17929	160	6	tool	tool	NOUN
ajst-17929	160	7	damage	damage	NOUN
ajst-17929	160	8	length	length	NOUN
ajst-17929	160	9	,	,	PUNCT
ajst-17929	160	10	and	and	CCONJ
ajst-17929	160	11	(	(	PUNCT
ajst-17929	160	12	b	b	X
ajst-17929	160	13	)	)	PUNCT
ajst-17929	160	14	is	be	AUX
ajst-17929	160	15	the	the	DET
ajst-17929	160	16	average	average	ADJ
ajst-17929	160	17	width	width	NOUN
ajst-17929	160	18	of	of	ADP
ajst-17929	160	19	the	the	DET
ajst-17929	160	20	tool	tool	NOUN
ajst-17929	160	21	damage	damage	NOUN
ajst-17929	160	22	area	area	NOUN
ajst-17929	160	23	.	.	PUNCT
ajst-17929	161	1	(	(	PUNCT
ajst-17929	161	2	c	c	X
ajst-17929	161	3	)	)	PUNCT
ajst-17929	161	4	is	be	AUX
ajst-17929	161	5	the	the	DET
ajst-17929	161	6	tool	tool	NOUN
ajst-17929	161	7	damage	damage	NOUN
ajst-17929	161	8	area	area	NOUN
ajst-17929	161	9	of	of	ADP
ajst-17929	161	10	the	the	DET
ajst-17929	161	11	knife	knife	NOUN
ajst-17929	161	12	.	.	PUNCT
ajst-17929	162	1	figure	figure	VERB
ajst-17929	162	2	4	4	NUM
ajst-17929	162	3	.	.	NOUN
ajst-17929	162	4	effectiveness	effectiveness	NOUN
ajst-17929	162	5	of	of	ADP
ajst-17929	162	6	the	the	DET
ajst-17929	162	7	proposed	propose	VERB
ajst-17929	162	8	algorithm	algorithm	NOUN
ajst-17929	162	9	in	in	ADP
ajst-17929	162	10	identifying	identify	VERB
ajst-17929	162	11	different	different	ADJ
ajst-17929	162	12	tool	tool	NOUN
ajst-17929	162	13	damage	damage	NOUN
ajst-17929	162	14	figure	figure	NOUN
ajst-17929	162	15	5	5	NUM
ajst-17929	162	16	.	.	PUNCT
ajst-17929	163	1	different	different	ADJ
ajst-17929	163	2	algorithms	algorithm	NOUN
ajst-17929	163	3	detect	detect	VERB
ajst-17929	163	4	tool	tool	NOUN
ajst-17929	163	5	defect	defect	NOUN
ajst-17929	163	6	areas	area	NOUN
ajst-17929	163	7	figure	figure	VERB
ajst-17929	163	8	6	6	NUM
ajst-17929	163	9	.	.	PUNCT
ajst-17929	164	1	the	the	DET
ajst-17929	164	2	pso	pso	NOUN
ajst-17929	164	3	-	-	PUNCT
ajst-17929	164	4	otsu	otsu	NOUN
ajst-17929	164	5	algorithm	algorithm	NOUN
ajst-17929	164	6	was	be	AUX
ajst-17929	164	7	improved	improve	VERB
ajst-17929	164	8	to	to	PART
ajst-17929	164	9	detect	detect	VERB
ajst-17929	164	10	the	the	DET
ajst-17929	164	11	result	result	NOUN
ajst-17929	164	12	of	of	ADP
ajst-17929	164	13	tool	tool	NOUN
ajst-17929	164	14	damage	damage	NOUN
ajst-17929	164	15	in	in	SCONJ
ajst-17929	164	16	order	order	NOUN
ajst-17929	164	17	to	to	PART
ajst-17929	164	18	verify	verify	VERB
ajst-17929	164	19	the	the	DET
ajst-17929	164	20	superiority	superiority	NOUN
ajst-17929	164	21	of	of	ADP
ajst-17929	164	22	the	the	DET
ajst-17929	164	23	proposed	propose	VERB
ajst-17929	164	24	algorithm	algorithm	NOUN
ajst-17929	164	25	,	,	PUNCT
ajst-17929	164	26	otsu	otsu	NOUN
ajst-17929	164	27	method	method	NOUN
ajst-17929	164	28	,	,	PUNCT
ajst-17929	164	29	canny	canny	ADJ
ajst-17929	164	30	edge	edge	NOUN
ajst-17929	164	31	detection	detection	NOUN
ajst-17929	164	32	algorithm	algorithm	NOUN
ajst-17929	164	33	,	,	PUNCT
ajst-17929	164	34	adaptive	adaptive	ADJ
ajst-17929	164	35	threshold	threshold	NOUN
ajst-17929	164	36	segmentation	segmentation	NOUN
ajst-17929	164	37	method	method	NOUN
ajst-17929	164	38	and	and	CCONJ
ajst-17929	164	39	improved	improve	VERB
ajst-17929	164	40	pso+otsu	pso+otsu	NOUN
ajst-17929	164	41	segmentation	segmentation	NOUN
ajst-17929	164	42	algorithm	algorithm	NOUN
ajst-17929	164	43	are	be	AUX
ajst-17929	164	44	used	use	VERB
ajst-17929	164	45	respectively	respectively	ADV
ajst-17929	164	46	.	.	PUNCT
ajst-17929	165	1	taking	take	VERB
ajst-17929	165	2	the	the	DET
ajst-17929	165	3	vertical	vertical	ADJ
ajst-17929	165	4	turning	turning	NOUN
ajst-17929	165	5	tool	tool	NOUN
ajst-17929	165	6	as	as	ADP
ajst-17929	165	7	an	an	DET
ajst-17929	165	8	example	example	NOUN
ajst-17929	165	9	,	,	PUNCT
ajst-17929	165	10	the	the	DET
ajst-17929	165	11	same	same	ADJ
ajst-17929	165	12	turning	turning	NOUN
ajst-17929	165	13	tool	tool	NOUN
ajst-17929	165	14	is	be	AUX
ajst-17929	165	15	tested	test	VERB
ajst-17929	165	16	five	five	NUM
ajst-17929	165	17	times	time	NOUN
ajst-17929	165	18	,	,	PUNCT
ajst-17929	165	19	and	and	CCONJ
ajst-17929	165	20	the	the	DET
ajst-17929	165	21	average	average	ADJ
ajst-17929	165	22	running	running	NOUN
ajst-17929	165	23	time	time	NOUN
ajst-17929	165	24	,	,	PUNCT
ajst-17929	165	25	iteration	iteration	NOUN
ajst-17929	165	26	times	time	NOUN
ajst-17929	165	27	and	and	CCONJ
ajst-17929	165	28	accuracy	accuracy	NOUN
ajst-17929	165	29	of	of	ADP
ajst-17929	165	30	each	each	DET
ajst-17929	165	31	algorithm	algorithm	NOUN
ajst-17929	165	32	are	be	AUX
ajst-17929	165	33	recorded	record	VERB
ajst-17929	165	34	.	.	PUNCT
ajst-17929	166	1	the	the	DET
ajst-17929	166	2	quantitative	quantitative	ADJ
ajst-17929	166	3	analysis	analysis	NOUN
ajst-17929	166	4	of	of	ADP
ajst-17929	166	5	the	the	DET
ajst-17929	166	6	detection	detection	NOUN
ajst-17929	166	7	result	result	VERB
ajst-17929	166	8	data	datum	NOUN
ajst-17929	166	9	shows	show	VERB
ajst-17929	166	10	that	that	SCONJ
ajst-17929	166	11	the	the	DET
ajst-17929	166	12	traditional	traditional	ADJ
ajst-17929	166	13	threshold	threshold	NOUN
ajst-17929	166	14	segmentation	segmentation	NOUN
ajst-17929	166	15	method	method	NOUN
ajst-17929	166	16	is	be	AUX
ajst-17929	166	17	susceptible	susceptible	ADJ
ajst-17929	166	18	to	to	ADP
ajst-17929	166	19	the	the	DET
ajst-17929	166	20	influence	influence	NOUN
ajst-17929	166	21	of	of	ADP
ajst-17929	166	22	illumination	illumination	NOUN
ajst-17929	166	23	,	,	PUNCT
ajst-17929	166	24	which	which	PRON
ajst-17929	166	25	makes	make	VERB
ajst-17929	166	26	it	it	PRON
ajst-17929	166	27	difficult	difficult	ADJ
ajst-17929	166	28	to	to	PART
ajst-17929	166	29	locate	locate	VERB
ajst-17929	166	30	the	the	DET
ajst-17929	166	31	tool	tool	NOUN
ajst-17929	166	32	defect	defect	NOUN
ajst-17929	166	33	location	location	NOUN
ajst-17929	166	34	,	,	PUNCT
ajst-17929	166	35	and	and	CCONJ
ajst-17929	166	36	even	even	ADV
ajst-17929	166	37	unable	unable	ADJ
ajst-17929	166	38	to	to	PART
ajst-17929	166	39	identify	identify	VERB
ajst-17929	166	40	the	the	DET
ajst-17929	166	41	damaged	damage	VERB
ajst-17929	166	42	area	area	NOUN
ajst-17929	166	43	in	in	ADP
ajst-17929	166	44	severe	severe	ADJ
ajst-17929	166	45	cases	case	NOUN
ajst-17929	166	46	,	,	PUNCT
ajst-17929	166	47	as	as	SCONJ
ajst-17929	166	48	shown	show	VERB
ajst-17929	166	49	in	in	ADP
ajst-17929	166	50	figure	figure	NOUN
ajst-17929	166	51	11	11	NUM
ajst-17929	166	52	(	(	PUNCT
ajst-17929	166	53	b	b	NOUN
ajst-17929	166	54	)	)	PUNCT
ajst-17929	166	55	.	.	PUNCT
ajst-17929	167	1	however	however	ADV
ajst-17929	167	2	,	,	PUNCT
ajst-17929	167	3	the	the	DET
ajst-17929	167	4	traditional	traditional	ADJ
ajst-17929	167	5	edge	edge	NOUN
ajst-17929	167	6	detection	detection	NOUN
ajst-17929	167	7	method	method	NOUN
ajst-17929	167	8	is	be	AUX
ajst-17929	167	9	prone	prone	ADJ
ajst-17929	167	10	to	to	ADP
ajst-17929	167	11	problems	problem	NOUN
ajst-17929	167	12	such	such	ADJ
ajst-17929	167	13	as	as	ADP
ajst-17929	167	14	discontinuity	discontinuity	NOUN
ajst-17929	167	15	of	of	ADP
ajst-17929	167	16	edge	edge	NOUN
ajst-17929	167	17	contour	contour	NOUN
ajst-17929	167	18	,	,	PUNCT
ajst-17929	167	19	as	as	SCONJ
ajst-17929	167	20	shown	show	VERB
ajst-17929	167	21	in	in	ADP
ajst-17929	167	22	figure	figure	NOUN
ajst-17929	167	23	11	11	NUM
ajst-17929	167	24	(	(	PUNCT
ajst-17929	167	25	c	c	NOUN
ajst-17929	167	26	)	)	PUNCT
ajst-17929	167	27	,	,	PUNCT
ajst-17929	167	28	and	and	CCONJ
ajst-17929	167	29	can	can	AUX
ajst-17929	167	30	not	not	PART
ajst-17929	167	31	form	form	VERB
ajst-17929	167	32	a	a	DET
ajst-17929	167	33	closed	closed	ADJ
ajst-17929	167	34	area	area	NOUN
ajst-17929	167	35	to	to	PART
ajst-17929	167	36	calculate	calculate	VERB
ajst-17929	167	37	the	the	DET
ajst-17929	167	38	tool	tool	NOUN
ajst-17929	167	39	damage	damage	NOUN
ajst-17929	167	40	area	area	NOUN
ajst-17929	167	41	.	.	PUNCT
ajst-17929	168	1	the	the	DET
ajst-17929	168	2	tool	tool	NOUN
ajst-17929	168	3	damage	damage	NOUN
ajst-17929	168	4	detection	detection	NOUN
ajst-17929	168	5	algorithm	algorithm	NOUN
ajst-17929	168	6	used	use	VERB
ajst-17929	168	7	in	in	ADP
ajst-17929	168	8	this	this	DET
ajst-17929	168	9	paper	paper	NOUN
ajst-17929	168	10	can	can	AUX
ajst-17929	168	11	automatically	automatically	ADV
ajst-17929	168	12	and	and	CCONJ
ajst-17929	168	13	effectively	effectively	ADV
ajst-17929	168	14	identify	identify	VERB
ajst-17929	168	15	the	the	DET
ajst-17929	168	16	tool	tool	NOUN
ajst-17929	168	17	damage	damage	NOUN
ajst-17929	168	18	area	area	NOUN
ajst-17929	168	19	,	,	PUNCT
ajst-17929	168	20	and	and	CCONJ
ajst-17929	168	21	the	the	DET
ajst-17929	168	22	recognition	recognition	NOUN
ajst-17929	168	23	235	235	NUM
ajst-17929	168	24	effect	effect	NOUN
ajst-17929	168	25	is	be	AUX
ajst-17929	168	26	outstanding	outstanding	ADJ
ajst-17929	168	27	,	,	PUNCT
ajst-17929	168	28	the	the	DET
ajst-17929	168	29	recognition	recognition	NOUN
ajst-17929	168	30	efficiency	efficiency	NOUN
ajst-17929	168	31	is	be	AUX
ajst-17929	168	32	faster	fast	ADJ
ajst-17929	168	33	,	,	PUNCT
ajst-17929	168	34	and	and	CCONJ
ajst-17929	168	35	the	the	DET
ajst-17929	168	36	anti	anti	ADJ
ajst-17929	168	37	-	-	ADJ
ajst-17929	168	38	interference	interference	NOUN
ajst-17929	168	39	is	be	AUX
ajst-17929	168	40	good	good	ADJ
ajst-17929	168	41	.	.	PUNCT
ajst-17929	169	1	table	table	NOUN
ajst-17929	170	1	1	1	NUM
ajst-17929	170	2	.	.	X
ajst-17929	170	3	four	four	NUM
ajst-17929	170	4	scheme	scheme	NOUN
ajst-17929	170	5	comparing	compare	VERB
ajst-17929	170	6	algorithm	algorithm	NOUN
ajst-17929	170	7	run	run	VERB
ajst-17929	170	8	time	time	NOUN
ajst-17929	170	9	/ms	/ms	PUNCT
ajst-17929	170	10	average	average	ADJ
ajst-17929	170	11	accuracy	accuracy	NOUN
ajst-17929	170	12	number	number	NOUN
ajst-17929	170	13	of	of	ADP
ajst-17929	170	14	iterations	iteration	NOUN
ajst-17929	170	15	otsu	otsu	NOUN
ajst-17929	170	16	method	method	NOUN
ajst-17929	170	17	577	577	NUM
ajst-17929	170	18	202	202	NUM
ajst-17929	170	19	canny	canny	ADJ
ajst-17929	170	20	method	method	NOUN
ajst-17929	170	21	496	496	NUM
ajst-17929	170	22	74.85	74.85	NUM
ajst-17929	170	23	adaptive	adaptive	ADJ
ajst-17929	170	24	threshold	threshold	NOUN
ajst-17929	170	25	method	method	NOUN
ajst-17929	170	26	456	456	NUM
ajst-17929	170	27	85.84	85.84	NUM
ajst-17929	170	28	189	189	NUM
ajst-17929	170	29	pso+otsu	pso+otsu	NOUN
ajst-17929	170	30	method	method	NOUN
ajst-17929	170	31	189	189	NUM
ajst-17929	170	32	96.16	96.16	NUM
ajst-17929	170	33	22	22	NUM
ajst-17929	170	34	as	as	SCONJ
ajst-17929	170	35	can	can	AUX
ajst-17929	170	36	be	be	AUX
ajst-17929	170	37	seen	see	VERB
ajst-17929	170	38	from	from	ADP
ajst-17929	170	39	fig	fig	NOUN
ajst-17929	170	40	.	.	PUNCT
ajst-17929	170	41	5	5	NUM
ajst-17929	170	42	and	and	CCONJ
ajst-17929	170	43	fig	fig	NOUN
ajst-17929	170	44	.	.	PUNCT
ajst-17929	171	1	6	6	NUM
ajst-17929	171	2	,	,	PUNCT
ajst-17929	171	3	the	the	DET
ajst-17929	171	4	tool	tool	NOUN
ajst-17929	171	5	damage	damage	NOUN
ajst-17929	171	6	detection	detection	NOUN
ajst-17929	171	7	method	method	NOUN
ajst-17929	171	8	adopted	adopt	VERB
ajst-17929	171	9	in	in	ADP
ajst-17929	171	10	this	this	DET
ajst-17929	171	11	paper	paper	NOUN
ajst-17929	171	12	can	can	AUX
ajst-17929	171	13	automatically	automatically	ADV
ajst-17929	171	14	and	and	CCONJ
ajst-17929	171	15	effectively	effectively	ADV
ajst-17929	171	16	identify	identify	VERB
ajst-17929	171	17	the	the	DET
ajst-17929	171	18	size	size	NOUN
ajst-17929	171	19	of	of	ADP
ajst-17929	171	20	the	the	DET
ajst-17929	171	21	complete	complete	ADJ
ajst-17929	171	22	tool	tool	NOUN
ajst-17929	171	23	damage	damage	NOUN
ajst-17929	171	24	area	area	NOUN
ajst-17929	171	25	,	,	PUNCT
ajst-17929	171	26	with	with	ADP
ajst-17929	171	27	high	high	ADJ
ajst-17929	171	28	accuracy	accuracy	NOUN
ajst-17929	171	29	,	,	PUNCT
ajst-17929	171	30	clear	clear	ADJ
ajst-17929	171	31	identification	identification	NOUN
ajst-17929	171	32	area	area	NOUN
ajst-17929	171	33	and	and	CCONJ
ajst-17929	171	34	good	good	ADJ
ajst-17929	171	35	effect	effect	NOUN
ajst-17929	171	36	.	.	PUNCT
ajst-17929	172	1	according	accord	VERB
ajst-17929	172	2	to	to	PART
ajst-17929	172	3	figure	figure	VERB
ajst-17929	172	4	6	6	NUM
ajst-17929	172	5	(	(	PUNCT
ajst-17929	172	6	b	b	NOUN
ajst-17929	172	7	)	)	PUNCT
ajst-17929	172	8	and	and	CCONJ
ajst-17929	172	9	table	table	NOUN
ajst-17929	172	10	1	1	NUM
ajst-17929	172	11	,	,	PUNCT
ajst-17929	172	12	although	although	SCONJ
ajst-17929	172	13	the	the	DET
ajst-17929	172	14	traditional	traditional	ADJ
ajst-17929	172	15	otsu	otsu	ADJ
ajst-17929	172	16	segmentation	segmentation	NOUN
ajst-17929	172	17	method	method	NOUN
ajst-17929	172	18	has	have	VERB
ajst-17929	172	19	many	many	ADJ
ajst-17929	172	20	iterations	iteration	NOUN
ajst-17929	172	21	and	and	CCONJ
ajst-17929	172	22	long	long	ADJ
ajst-17929	172	23	operation	operation	NOUN
ajst-17929	172	24	time	time	NOUN
ajst-17929	172	25	in	in	ADP
ajst-17929	172	26	searching	search	VERB
ajst-17929	172	27	for	for	ADP
ajst-17929	172	28	the	the	DET
ajst-17929	172	29	optimal	optimal	ADJ
ajst-17929	172	30	threshold	threshold	NOUN
ajst-17929	172	31	of	of	ADP
ajst-17929	172	32	tool	tool	NOUN
ajst-17929	172	33	segmentation	segmentation	NOUN
ajst-17929	172	34	,	,	PUNCT
ajst-17929	172	35	it	it	PRON
ajst-17929	172	36	still	still	ADV
ajst-17929	172	37	fails	fail	VERB
ajst-17929	172	38	to	to	PART
ajst-17929	172	39	identify	identify	VERB
ajst-17929	172	40	the	the	DET
ajst-17929	172	41	tool	tool	NOUN
ajst-17929	172	42	damage	damage	NOUN
ajst-17929	172	43	area	area	NOUN
ajst-17929	172	44	.	.	PUNCT
ajst-17929	173	1	as	as	SCONJ
ajst-17929	173	2	shown	show	VERB
ajst-17929	173	3	in	in	ADP
ajst-17929	173	4	figure	figure	NOUN
ajst-17929	173	5	6	6	NUM
ajst-17929	173	6	(	(	PUNCT
ajst-17929	173	7	c	c	NOUN
ajst-17929	173	8	)	)	PUNCT
ajst-17929	173	9	and	and	CCONJ
ajst-17929	173	10	table	table	NOUN
ajst-17929	173	11	2	2	NUM
ajst-17929	173	12	,	,	PUNCT
ajst-17929	173	13	defects	defect	NOUN
ajst-17929	173	14	such	such	ADJ
ajst-17929	173	15	as	as	ADP
ajst-17929	173	16	edge	edge	NOUN
ajst-17929	173	17	loss	loss	NOUN
ajst-17929	173	18	appear	appear	VERB
ajst-17929	173	19	in	in	ADP
ajst-17929	173	20	the	the	DET
ajst-17929	173	21	image	image	NOUN
ajst-17929	173	22	of	of	ADP
ajst-17929	173	23	canny	canny	ADJ
ajst-17929	173	24	edge	edge	NOUN
ajst-17929	173	25	detection	detection	NOUN
ajst-17929	173	26	method	method	NOUN
ajst-17929	173	27	,	,	PUNCT
ajst-17929	173	28	and	and	CCONJ
ajst-17929	173	29	the	the	DET
ajst-17929	173	30	algorithm	algorithm	NOUN
ajst-17929	173	31	has	have	VERB
ajst-17929	173	32	a	a	DET
ajst-17929	173	33	long	long	ADJ
ajst-17929	173	34	running	running	NOUN
ajst-17929	173	35	time	time	NOUN
ajst-17929	173	36	,	,	PUNCT
ajst-17929	173	37	low	low	ADJ
ajst-17929	173	38	accuracy	accuracy	NOUN
ajst-17929	173	39	and	and	CCONJ
ajst-17929	173	40	poor	poor	ADJ
ajst-17929	173	41	effect	effect	NOUN
ajst-17929	173	42	.	.	PUNCT
ajst-17929	174	1	according	accord	VERB
ajst-17929	174	2	to	to	ADP
ajst-17929	174	3	fig	fig	NOUN
ajst-17929	174	4	.	.	PUNCT
ajst-17929	175	1	6	6	NUM
ajst-17929	175	2	(	(	PUNCT
ajst-17929	175	3	d	d	NOUN
ajst-17929	175	4	)	)	PUNCT
ajst-17929	175	5	and	and	CCONJ
ajst-17929	175	6	fig	fig	NOUN
ajst-17929	175	7	.	.	PUNCT
ajst-17929	176	1	6	6	NUM
ajst-17929	176	2	(	(	PUNCT
ajst-17929	176	3	e	e	NOUN
ajst-17929	176	4	)	)	PUNCT
ajst-17929	176	5	in	in	ADP
ajst-17929	176	6	combination	combination	NOUN
ajst-17929	176	7	with	with	ADP
ajst-17929	176	8	table	table	NOUN
ajst-17929	176	9	1	1	NUM
ajst-17929	176	10	,	,	PUNCT
ajst-17929	176	11	it	it	PRON
ajst-17929	176	12	can	can	AUX
ajst-17929	176	13	be	be	AUX
ajst-17929	176	14	seen	see	VERB
ajst-17929	176	15	that	that	SCONJ
ajst-17929	176	16	both	both	PRON
ajst-17929	176	17	of	of	ADP
ajst-17929	176	18	them	they	PRON
ajst-17929	176	19	can	can	AUX
ajst-17929	176	20	clearly	clearly	ADV
ajst-17929	176	21	obtain	obtain	VERB
ajst-17929	176	22	the	the	DET
ajst-17929	176	23	tool	tool	NOUN
ajst-17929	176	24	damage	damage	NOUN
ajst-17929	176	25	contour	contour	NOUN
ajst-17929	176	26	and	and	CCONJ
ajst-17929	176	27	the	the	DET
ajst-17929	176	28	image	image	NOUN
ajst-17929	176	29	is	be	AUX
ajst-17929	176	30	clear	clear	ADJ
ajst-17929	176	31	,	,	PUNCT
ajst-17929	176	32	and	and	CCONJ
ajst-17929	176	33	the	the	DET
ajst-17929	176	34	improved	improve	VERB
ajst-17929	176	35	pso+otsu	pso+otsu	NOUN
ajst-17929	176	36	algorithm	algorithm	NOUN
ajst-17929	176	37	can	can	AUX
ajst-17929	176	38	reach	reach	VERB
ajst-17929	176	39	96.16	96.16	NUM
ajst-17929	176	40	%	%	NOUN
ajst-17929	176	41	accuracy	accuracy	NOUN
ajst-17929	176	42	in	in	ADP
ajst-17929	176	43	detecting	detect	VERB
ajst-17929	176	44	the	the	DET
ajst-17929	176	45	average	average	ADJ
ajst-17929	176	46	width	width	NOUN
ajst-17929	176	47	of	of	ADP
ajst-17929	176	48	the	the	DET
ajst-17929	176	49	tool	tool	NOUN
ajst-17929	176	50	surface	surface	NOUN
ajst-17929	176	51	after	after	ADP
ajst-17929	176	52	the	the	DET
ajst-17929	176	53	tool	tool	NOUN
ajst-17929	176	54	,	,	PUNCT
ajst-17929	176	55	which	which	PRON
ajst-17929	176	56	is	be	AUX
ajst-17929	176	57	at	at	ADP
ajst-17929	176	58	least	least	ADV
ajst-17929	176	59	9.81	9.81	NUM
ajst-17929	176	60	%	%	NOUN
ajst-17929	176	61	higher	high	ADJ
ajst-17929	176	62	than	than	ADP
ajst-17929	176	63	the	the	DET
ajst-17929	176	64	other	other	ADJ
ajst-17929	176	65	six	six	NUM
ajst-17929	176	66	algorithms	algorithm	NOUN
ajst-17929	176	67	,	,	PUNCT
ajst-17929	176	68	and	and	CCONJ
ajst-17929	176	69	also	also	ADV
ajst-17929	176	70	has	have	VERB
ajst-17929	176	71	advantages	advantage	NOUN
ajst-17929	176	72	in	in	ADP
ajst-17929	176	73	terms	term	NOUN
ajst-17929	176	74	of	of	ADP
ajst-17929	176	75	running	run	VERB
ajst-17929	176	76	time	time	NOUN
ajst-17929	176	77	and	and	CCONJ
ajst-17929	176	78	number	number	NOUN
ajst-17929	176	79	of	of	ADP
ajst-17929	176	80	iterations	iteration	NOUN
ajst-17929	176	81	.	.	PUNCT
ajst-17929	177	1	it	it	PRON
ajst-17929	177	2	can	can	AUX
ajst-17929	177	3	be	be	AUX
ajst-17929	177	4	seen	see	VERB
ajst-17929	177	5	that	that	SCONJ
ajst-17929	177	6	the	the	DET
ajst-17929	177	7	improved	improve	VERB
ajst-17929	177	8	pso+otsu	pso+otsu	NOUN
ajst-17929	177	9	algorithm	algorithm	NOUN
ajst-17929	177	10	proposed	propose	VERB
ajst-17929	177	11	in	in	ADP
ajst-17929	177	12	this	this	DET
ajst-17929	177	13	paper	paper	NOUN
ajst-17929	177	14	has	have	AUX
ajst-17929	177	15	significantly	significantly	ADV
ajst-17929	177	16	improved	improve	VERB
ajst-17929	177	17	the	the	DET
ajst-17929	177	18	accuracy	accuracy	NOUN
ajst-17929	177	19	and	and	CCONJ
ajst-17929	177	20	processing	processing	NOUN
ajst-17929	177	21	speed	speed	NOUN
ajst-17929	177	22	of	of	ADP
ajst-17929	177	23	tool	tool	NOUN
ajst-17929	177	24	image	image	NOUN
ajst-17929	177	25	damage	damage	NOUN
ajst-17929	177	26	detection	detection	NOUN
ajst-17929	177	27	compared	compare	VERB
ajst-17929	177	28	with	with	ADP
ajst-17929	177	29	otsu	otsu	ADJ
ajst-17929	177	30	segmentation	segmentation	NOUN
ajst-17929	177	31	method	method	NOUN
ajst-17929	177	32	,	,	PUNCT
ajst-17929	177	33	canny	canny	ADJ
ajst-17929	177	34	edge	edge	NOUN
ajst-17929	177	35	detection	detection	NOUN
ajst-17929	177	36	method	method	NOUN
ajst-17929	177	37	,	,	PUNCT
ajst-17929	177	38	local	local	ADJ
ajst-17929	177	39	threshold	threshold	NOUN
ajst-17929	177	40	segmentation	segmentation	NOUN
ajst-17929	177	41	method	method	NOUN
ajst-17929	177	42	and	and	CCONJ
ajst-17929	177	43	other	other	ADJ
ajst-17929	177	44	algorithms	algorithm	NOUN
ajst-17929	177	45	.	.	PUNCT
ajst-17929	178	1	4	4	X
ajst-17929	178	2	.	.	X
ajst-17929	178	3	summary	summary	NOUN
ajst-17929	178	4	(	(	PUNCT
ajst-17929	178	5	1	1	X
ajst-17929	178	6	)	)	PUNCT
ajst-17929	178	7	aiming	aim	VERB
ajst-17929	178	8	at	at	ADP
ajst-17929	178	9	the	the	DET
ajst-17929	178	10	problems	problem	NOUN
ajst-17929	178	11	of	of	ADP
ajst-17929	178	12	the	the	DET
ajst-17929	178	13	traditional	traditional	ADJ
ajst-17929	178	14	otsu	otsu	NOUN
ajst-17929	178	15	algorithm	algorithm	NOUN
ajst-17929	178	16	,	,	PUNCT
ajst-17929	178	17	such	such	ADJ
ajst-17929	178	18	as	as	ADP
ajst-17929	178	19	large	large	ADJ
ajst-17929	178	20	computation	computation	NOUN
ajst-17929	178	21	amount	amount	NOUN
ajst-17929	178	22	,	,	PUNCT
ajst-17929	178	23	long	long	ADV
ajst-17929	178	24	running	running	NOUN
ajst-17929	178	25	time	time	NOUN
ajst-17929	178	26	and	and	CCONJ
ajst-17929	178	27	easy	easy	ADJ
ajst-17929	178	28	local	local	ADJ
ajst-17929	178	29	optimal	optimal	ADJ
ajst-17929	178	30	solution	solution	NOUN
ajst-17929	178	31	of	of	ADP
ajst-17929	178	32	pso	pso	NOUN
ajst-17929	178	33	algorithm	algorithm	NOUN
ajst-17929	178	34	,	,	PUNCT
ajst-17929	178	35	a	a	DET
ajst-17929	178	36	particle	particle	NOUN
ajst-17929	178	37	swarm	swarm	NOUN
ajst-17929	178	38	optimization	optimization	NOUN
ajst-17929	178	39	of	of	ADP
ajst-17929	178	40	otsu	otsu	ADJ
ajst-17929	178	41	threshold	threshold	NOUN
ajst-17929	178	42	segmentation	segmentation	NOUN
ajst-17929	178	43	tool	tool	NOUN
ajst-17929	178	44	damage	damage	NOUN
ajst-17929	178	45	image	image	NOUN
ajst-17929	178	46	visual	visual	ADJ
ajst-17929	178	47	detection	detection	NOUN
ajst-17929	178	48	algorithm	algorithm	NOUN
ajst-17929	178	49	is	be	AUX
ajst-17929	178	50	proposed	propose	VERB
ajst-17929	178	51	.	.	PUNCT
ajst-17929	179	1	the	the	DET
ajst-17929	179	2	algorithm	algorithm	NOUN
ajst-17929	179	3	adopts	adopt	VERB
ajst-17929	179	4	the	the	DET
ajst-17929	179	5	inertia	inertia	NOUN
ajst-17929	179	6	coefficient	coefficient	NOUN
ajst-17929	179	7	cosine	cosine	NOUN
ajst-17929	179	8	decreasing	decrease	VERB
ajst-17929	179	9	strategy	strategy	NOUN
ajst-17929	179	10	to	to	PART
ajst-17929	179	11	improve	improve	VERB
ajst-17929	179	12	the	the	DET
ajst-17929	179	13	convergence	convergence	NOUN
ajst-17929	179	14	speed	speed	NOUN
ajst-17929	179	15	of	of	ADP
ajst-17929	179	16	the	the	DET
ajst-17929	179	17	algorithm	algorithm	NOUN
ajst-17929	179	18	,	,	PUNCT
ajst-17929	179	19	and	and	CCONJ
ajst-17929	179	20	adds	add	VERB
ajst-17929	179	21	the	the	DET
ajst-17929	179	22	disturbance	disturbance	NOUN
ajst-17929	179	23	equation	equation	NOUN
ajst-17929	179	24	.	.	PUNCT
ajst-17929	180	1	when	when	SCONJ
ajst-17929	180	2	the	the	DET
ajst-17929	180	3	particle	particle	NOUN
ajst-17929	180	4	swarm	swarm	NOUN
ajst-17929	180	5	algorithm	algorithm	NOUN
ajst-17929	180	6	falls	fall	VERB
ajst-17929	180	7	into	into	ADP
ajst-17929	180	8	the	the	DET
ajst-17929	180	9	local	local	ADJ
ajst-17929	180	10	optimal	optimal	ADJ
ajst-17929	180	11	solution	solution	NOUN
ajst-17929	180	12	,	,	PUNCT
ajst-17929	180	13	the	the	DET
ajst-17929	180	14	disturbance	disturbance	NOUN
ajst-17929	180	15	is	be	AUX
ajst-17929	180	16	added	add	VERB
ajst-17929	180	17	to	to	ADP
ajst-17929	180	18	the	the	DET
ajst-17929	180	19	particle	particle	NOUN
ajst-17929	180	20	swarm	swarm	NOUN
ajst-17929	180	21	to	to	PART
ajst-17929	180	22	increase	increase	VERB
ajst-17929	180	23	the	the	DET
ajst-17929	180	24	ability	ability	NOUN
ajst-17929	180	25	of	of	ADP
ajst-17929	180	26	the	the	DET
ajst-17929	180	27	algorithm	algorithm	NOUN
ajst-17929	180	28	to	to	PART
ajst-17929	180	29	jump	jump	VERB
ajst-17929	180	30	out	out	ADP
ajst-17929	180	31	of	of	ADP
ajst-17929	180	32	the	the	DET
ajst-17929	180	33	local	local	ADJ
ajst-17929	180	34	optimal	optimal	ADJ
ajst-17929	180	35	solution	solution	NOUN
ajst-17929	180	36	.	.	PUNCT
ajst-17929	181	1	(	(	PUNCT
ajst-17929	181	2	2	2	X
ajst-17929	181	3	)	)	PUNCT
ajst-17929	181	4	an	an	DET
ajst-17929	181	5	experimental	experimental	ADJ
ajst-17929	181	6	detection	detection	NOUN
ajst-17929	181	7	platform	platform	NOUN
ajst-17929	181	8	was	be	AUX
ajst-17929	181	9	set	set	VERB
ajst-17929	181	10	up	up	ADP
ajst-17929	181	11	in	in	ADP
ajst-17929	181	12	this	this	DET
ajst-17929	181	13	paper	paper	NOUN
ajst-17929	181	14	to	to	PART
ajst-17929	181	15	detect	detect	VERB
ajst-17929	181	16	the	the	DET
ajst-17929	181	17	tool	tool	NOUN
ajst-17929	181	18	.	.	PUNCT
ajst-17929	182	1	the	the	DET
ajst-17929	182	2	experimental	experimental	ADJ
ajst-17929	182	3	results	result	NOUN
ajst-17929	182	4	show	show	VERB
ajst-17929	182	5	that	that	SCONJ
ajst-17929	182	6	this	this	DET
ajst-17929	182	7	method	method	NOUN
ajst-17929	182	8	can	can	AUX
ajst-17929	182	9	effectively	effectively	ADV
ajst-17929	182	10	identify	identify	VERB
ajst-17929	182	11	the	the	DET
ajst-17929	182	12	tool	tool	NOUN
ajst-17929	182	13	damage	damage	NOUN
ajst-17929	182	14	area	area	NOUN
ajst-17929	182	15	and	and	CCONJ
ajst-17929	182	16	extract	extract	VERB
ajst-17929	182	17	the	the	DET
ajst-17929	182	18	tool	tool	NOUN
ajst-17929	182	19	damage	damage	NOUN
ajst-17929	182	20	amount	amount	NOUN
ajst-17929	182	21	,	,	PUNCT
ajst-17929	182	22	which	which	PRON
ajst-17929	182	23	has	have	VERB
ajst-17929	182	24	obvious	obvious	ADJ
ajst-17929	182	25	advantages	advantage	NOUN
ajst-17929	182	26	over	over	ADP
ajst-17929	182	27	the	the	DET
ajst-17929	182	28	traditional	traditional	ADJ
ajst-17929	182	29	detection	detection	NOUN
ajst-17929	182	30	algorithm	algorithm	NOUN
ajst-17929	182	31	.	.	PUNCT
ajst-17929	183	1	it	it	PRON
ajst-17929	183	2	can	can	AUX
ajst-17929	183	3	provide	provide	VERB
ajst-17929	183	4	strong	strong	ADJ
ajst-17929	183	5	technical	technical	ADJ
ajst-17929	183	6	support	support	NOUN
ajst-17929	183	7	for	for	ADP
ajst-17929	183	8	in	in	ADP
ajst-17929	183	9	-	-	PUNCT
ajst-17929	183	10	place	place	NOUN
ajst-17929	183	11	detection	detection	NOUN
ajst-17929	183	12	of	of	ADP
ajst-17929	183	13	tool	tool	NOUN
ajst-17929	183	14	damage	damage	NOUN
ajst-17929	183	15	.	.	PUNCT
ajst-17929	184	1	(	(	PUNCT
ajst-17929	184	2	3	3	X
ajst-17929	184	3	)	)	PUNCT
ajst-17929	184	4	all	all	DET
ajst-17929	184	5	the	the	DET
ajst-17929	184	6	methods	method	NOUN
ajst-17929	184	7	in	in	ADP
ajst-17929	184	8	this	this	DET
ajst-17929	184	9	paper	paper	NOUN
ajst-17929	184	10	are	be	AUX
ajst-17929	184	11	implemented	implement	VERB
ajst-17929	184	12	on	on	ADP
ajst-17929	184	13	the	the	DET
ajst-17929	184	14	pc	pc	NOUN
ajst-17929	184	15	side	side	NOUN
ajst-17929	184	16	,	,	PUNCT
ajst-17929	184	17	and	and	CCONJ
ajst-17929	184	18	the	the	DET
ajst-17929	184	19	algorithm	algorithm	NOUN
ajst-17929	184	20	in	in	ADP
ajst-17929	184	21	this	this	DET
ajst-17929	184	22	paper	paper	NOUN
ajst-17929	184	23	is	be	AUX
ajst-17929	184	24	simple	simple	ADJ
ajst-17929	184	25	and	and	CCONJ
ajst-17929	184	26	the	the	DET
ajst-17929	184	27	calculation	calculation	NOUN
ajst-17929	184	28	amount	amount	NOUN
ajst-17929	184	29	is	be	AUX
ajst-17929	184	30	small	small	ADJ
ajst-17929	184	31	.	.	PUNCT
ajst-17929	185	1	therefore	therefore	ADV
ajst-17929	185	2	,	,	PUNCT
ajst-17929	185	3	the	the	DET
ajst-17929	185	4	method	method	NOUN
ajst-17929	185	5	in	in	ADP
ajst-17929	185	6	this	this	DET
ajst-17929	185	7	paper	paper	NOUN
ajst-17929	185	8	can	can	AUX
ajst-17929	185	9	be	be	AUX
ajst-17929	185	10	transplanted	transplant	VERB
ajst-17929	185	11	to	to	ADP
ajst-17929	185	12	the	the	DET
ajst-17929	185	13	embedded	embed	VERB
ajst-17929	185	14	platform	platform	NOUN
ajst-17929	185	15	for	for	ADP
ajst-17929	185	16	code	code	NOUN
ajst-17929	185	17	adjustment	adjustment	NOUN
ajst-17929	185	18	and	and	CCONJ
ajst-17929	185	19	optimization	optimization	NOUN
ajst-17929	185	20	,	,	PUNCT
ajst-17929	185	21	so	so	SCONJ
ajst-17929	185	22	as	as	SCONJ
ajst-17929	185	23	to	to	PART
ajst-17929	185	24	apply	apply	VERB
ajst-17929	185	25	to	to	ADP
ajst-17929	185	26	more	more	ADJ
ajst-17929	185	27	application	application	NOUN
ajst-17929	185	28	scenarios	scenario	NOUN
ajst-17929	185	29	.	.	PUNCT
ajst-17929	186	1	acknowledgment	acknowledgment	NOUN
ajst-17929	186	2	sichuan	sichuan	PROPN
ajst-17929	186	3	natural	natural	PROPN
ajst-17929	186	4	science	science	PROPN
ajst-17929	186	5	foundation	foundation	PROPN
ajst-17929	186	6	2022nsfsc2002	2022nsfsc2002	NUM
ajst-17929	186	7	references	reference	NOUN
ajst-17929	186	8	[	[	X
ajst-17929	186	9	1	1	NUM
ajst-17929	186	10	]	]	PUNCT
ajst-17929	186	11	ding	ding	NOUN
ajst-17929	186	12	yuhui	yuhui	NOUN
ajst-17929	186	13	,	,	PUNCT
ajst-17929	186	14	cao	cao	PROPN
ajst-17929	186	15	yan	yan	PROPN
ajst-17929	186	16	,	,	PUNCT
ajst-17929	186	17	fu	fu	PROPN
ajst-17929	186	18	leijie	leijie	PROPN
ajst-17929	186	19	,	,	PUNCT
ajst-17929	186	20	bai	bai	PROPN
ajst-17929	186	21	yu	yu	PROPN
ajst-17929	186	22	.	.	PROPN
ajst-17929	186	23	research	research	NOUN
ajst-17929	186	24	status	status	NOUN
ajst-17929	186	25	and	and	CCONJ
ajst-17929	186	26	prospect	prospect	NOUN
ajst-17929	186	27	of	of	ADP
ajst-17929	186	28	image	image	NOUN
ajst-17929	186	29	processing	processing	NOUN
ajst-17929	186	30	technology	technology	NOUN
ajst-17929	186	31	in	in	ADP
ajst-17929	186	32	tool	tool	NOUN
ajst-17929	186	33	wear	wear	VERB
ajst-17929	186	34	detection	detection	NOUN
ajst-17929	187	1	[	[	X
ajst-17929	187	2	j	j	X
ajst-17929	187	3	]	]	X
ajst-17929	187	4	.	.	PUNCT
ajst-17929	188	1	manufacturing	manufacture	VERB
ajst-17929	188	2	technology	technology	NOUN
ajst-17929	188	3	&	&	CCONJ
ajst-17929	188	4	machine	machine	NOUN
ajst-17929	188	5	tool	tool	PROPN
ajst-17929	188	6	,	,	PUNCT
ajst-17929	188	7	2020,(4	2020,(4	NUM
ajst-17929	188	8	):	):	PUNCT
ajst-17929	188	9	56	56	NUM
ajst-17929	188	10	-	-	SYM
ajst-17929	188	11	62	62	NUM
ajst-17929	188	12	.	.	PUNCT
ajst-17929	189	1	[	[	X
ajst-17929	189	2	2	2	X
ajst-17929	189	3	]	]	PUNCT
ajst-17929	189	4	ye	ye	NUM
ajst-17929	189	5	zukun	zukun	PROPN
ajst-17929	189	6	,	,	PUNCT
ajst-17929	189	7	li	li	PROPN
ajst-17929	189	8	heng	heng	PROPN
ajst-17929	189	9	,	,	PUNCT
ajst-17929	189	10	cha	cha	PROPN
ajst-17929	189	11	wenbin	wenbin	PROPN
ajst-17929	189	12	,	,	PUNCT
ajst-17929	189	13	he	he	PRON
ajst-17929	189	14	yan	yan	PROPN
ajst-17929	189	15	,	,	PUNCT
ajst-17929	189	16	wang	wang	PROPN
ajst-17929	189	17	yulin	yulin	PROPN
ajst-17929	189	18	.	.	PUNCT
ajst-17929	190	1	tool	tool	PROPN
ajst-17929	190	2	damage	damage	NOUN
ajst-17929	190	3	visual	visual	ADJ
ajst-17929	190	4	detection	detection	NOUN
ajst-17929	190	5	method	method	NOUN
ajst-17929	190	6	using	use	VERB
ajst-17929	190	7	local	local	ADJ
ajst-17929	190	8	threshold	threshold	NOUN
ajst-17929	190	9	segmentation	segmentation	NOUN
ajst-17929	191	1	[	[	X
ajst-17929	191	2	j	j	X
ajst-17929	191	3	]	]	X
ajst-17929	191	4	.	.	PUNCT
ajst-17929	192	1	journal	journal	PROPN
ajst-17929	192	2	of	of	ADP
ajst-17929	192	3	xi	xi	PROPN
ajst-17929	192	4	'	'	PUNCT
ajst-17929	192	5	an	an	DET
ajst-17929	192	6	jiaotong	jiaotong	ADJ
ajst-17929	192	7	university,2021	university,2021	NOUN
ajst-17929	192	8	,	,	PUNCT
ajst-17929	192	9	vol	vol	NOUN
ajst-17929	192	10	.	.	PUNCT
ajst-17929	192	11	55	55	NUM
ajst-17929	192	12	(	(	PUNCT
ajst-17929	192	13	4	4	NUM
ajst-17929	192	14	):	):	PUNCT
ajst-17929	192	15	52	52	NUM
ajst-17929	192	16	-	-	SYM
ajst-17929	192	17	60	60	NUM
ajst-17929	192	18	.	.	PUNCT
ajst-17929	193	1	[	[	X
ajst-17929	193	2	3	3	X
ajst-17929	193	3	]	]	X
ajst-17929	193	4	deng	deng	PROPN
ajst-17929	193	5	xiaopeng	xiaopeng	PROPN
ajst-17929	193	6	,	,	PUNCT
ajst-17929	193	7	wang	wang	PROPN
ajst-17929	193	8	yan	yan	PROPN
ajst-17929	193	9	,	,	PUNCT
ajst-17929	193	10	hong	hong	PROPN
ajst-17929	193	11	yu	yu	PROPN
ajst-17929	193	12	,	,	PUNCT
ajst-17929	193	13	hu	hu	PROPN
ajst-17929	193	14	xiaofeng	xiaofeng	PROPN
ajst-17929	193	15	.	.	PUNCT
ajst-17929	194	1	microdrilling	microdrille	VERB
ajst-17929	194	2	and	and	CCONJ
ajst-17929	194	3	milling	mill	VERB
ajst-17929	194	4	tool	tool	NOUN
ajst-17929	194	5	wear	wear	VERB
ajst-17929	194	6	detection	detection	NOUN
ajst-17929	194	7	method	method	NOUN
ajst-17929	194	8	using	use	VERB
ajst-17929	194	9	adaptive	adaptive	ADJ
ajst-17929	194	10	region	region	NOUN
ajst-17929	194	11	growth	growth	NOUN
ajst-17929	195	1	[	[	X
ajst-17929	195	2	j	j	X
ajst-17929	195	3	]	]	X
ajst-17929	195	4	.	.	PUNCT
ajst-17929	196	1	journal	journal	PROPN
ajst-17929	196	2	of	of	ADP
ajst-17929	196	3	xi	xi	PROPN
ajst-17929	196	4	'	'	PUNCT
ajst-17929	196	5	an	an	DET
ajst-17929	196	6	jiaotong	jiaotong	ADJ
ajst-17929	196	7	university,2021	university,2021	NOUN
ajst-17929	196	8	,	,	PUNCT
ajst-17929	196	9	vol	vol	NOUN
ajst-17929	196	10	.	.	PUNCT
ajst-17929	196	11	55	55	NUM
ajst-17929	196	12	.	.	PUNCT
ajst-17929	197	1	[	[	X
ajst-17929	197	2	4	4	NUM
ajst-17929	197	3	]	]	X
ajst-17929	197	4	zhou	zhou	PROPN
ajst-17929	197	5	junjie	junjie	PROPN
ajst-17929	197	6	,	,	PUNCT
ajst-17929	197	7	yu	yu	PROPN
ajst-17929	197	8	jianbo	jianbo	PROPN
ajst-17929	197	9	.	.	PUNCT
ajst-17929	198	1	online	online	PROPN
ajst-17929	198	2	measurement	measurement	NOUN
ajst-17929	198	3	of	of	ADP
ajst-17929	198	4	machining	machining	NOUN
ajst-17929	198	5	tool	tool	NOUN
ajst-17929	198	6	wear	wear	VERB
ajst-17929	198	7	based	base	VERB
ajst-17929	198	8	on	on	ADP
ajst-17929	198	9	machine	machine	NOUN
ajst-17929	198	10	vision	vision	NOUN
ajst-17929	199	1	[	[	X
ajst-17929	199	2	j	j	X
ajst-17929	199	3	]	]	X
ajst-17929	199	4	.	.	PUNCT
ajst-17929	200	1	journal	journal	PROPN
ajst-17929	200	2	of	of	ADP
ajst-17929	200	3	shanghai	shanghai	PROPN
ajst-17929	200	4	jiao	jiao	PROPN
ajst-17929	200	5	tong	tong	PROPN
ajst-17929	200	6	university,2021	university,2021	PROPN
ajst-17929	200	7	,	,	PUNCT
ajst-17929	200	8	vol	vol	NOUN
ajst-17929	200	9	.	.	PUNCT
ajst-17929	201	1	55	55	NUM
ajst-17929	201	2	(	(	PUNCT
ajst-17929	201	3	6	6	NUM
ajst-17929	201	4	):	):	PUNCT
ajst-17929	201	5	741	741	NUM
ajst-17929	201	6	-	-	SYM
ajst-17929	201	7	749	749	NUM
ajst-17929	201	8	.	.	PUNCT
ajst-17929	202	1	[	[	X
ajst-17929	202	2	5	5	NUM
ajst-17929	202	3	]	]	SYM
ajst-17929	202	4	li	li	PROPN
ajst-17929	202	5	shanshan1	shanshan1	PROPN
ajst-17929	202	6	,	,	PUNCT
ajst-17929	202	7	liu	liu	PROPN
ajst-17929	202	8	libing1	libing1	PROPN
ajst-17929	202	9	,	,	PUNCT
ajst-17929	202	10	li	li	PROPN
ajst-17929	202	11	li1	li1	X
ajst-17929	202	12	et	et	PROPN
ajst-17929	202	13	al	al	PROPN
ajst-17929	202	14	.	.	PROPN
ajst-17929	202	15	nc	nc	PROPN
ajst-17929	202	16	tool	tool	PROPN
ajst-17929	202	17	wear	wear	VERB
ajst-17929	202	18	state	state	NOUN
ajst-17929	202	19	detection	detection	NOUN
ajst-17929	202	20	method	method	NOUN
ajst-17929	202	21	based	base	VERB
ajst-17929	202	22	on	on	ADP
ajst-17929	202	23	region	region	NOUN
ajst-17929	202	24	growth	growth	NOUN
ajst-17929	202	25	method	method	NOUN
ajst-17929	203	1	[	[	X
ajst-17929	203	2	j	j	X
ajst-17929	203	3	]	]	X
ajst-17929	203	4	.	.	PUNCT
ajst-17929	204	1	manufacturing	manufacture	VERB
ajst-17929	204	2	technology	technology	NOUN
ajst-17929	204	3	&	&	CCONJ
ajst-17929	204	4	machine	machine	NOUN
ajst-17929	204	5	tool	tool	PROPN
ajst-17929	204	6	,	,	PUNCT
ajst-17929	204	7	2017	2017	NUM
ajst-17929	204	8	,	,	PUNCT
ajst-17929	204	9	(	(	PUNCT
ajst-17929	204	10	2):132135	2):132135	NOUN
ajst-17929	204	11	.	.	PUNCT
ajst-17929	205	1	[	[	X
ajst-17929	205	2	6	6	NUM
ajst-17929	205	3	]	]	X
ajst-17929	205	4	liu	liu	PROPN
ajst-17929	205	5	jianchun	jianchun	PROPN
ajst-17929	205	6	,	,	PUNCT
ajst-17929	205	7	jiang	jiang	PROPN
ajst-17929	205	8	junjie	junjie	PROPN
ajst-17929	205	9	,	,	PUNCT
ajst-17929	205	10	zou	zou	PROPN
ajst-17929	205	11	pilgrimage	pilgrimage	NOUN
ajst-17929	205	12	.	.	PUNCT
ajst-17929	206	1	research	research	NOUN
ajst-17929	206	2	on	on	ADP
ajst-17929	206	3	wear	wear	NOUN
ajst-17929	206	4	detection	detection	NOUN
ajst-17929	206	5	method	method	NOUN
ajst-17929	206	6	of	of	ADP
ajst-17929	206	7	end	end	NOUN
ajst-17929	206	8	milling	milling	NOUN
ajst-17929	206	9	cutter	cutter	NOUN
ajst-17929	206	10	based	base	VERB
ajst-17929	206	11	on	on	ADP
ajst-17929	206	12	machine	machine	NOUN
ajst-17929	206	13	vision	vision	NOUN
ajst-17929	207	1	[	[	X
ajst-17929	207	2	j	j	X
ajst-17929	207	3	]	]	X
ajst-17929	207	4	.	.	PUNCT
ajst-17929	207	5	manufacturing	manufacture	VERB
ajst-17929	207	6	technology	technology	NOUN
ajst-17929	207	7	&	&	CCONJ
ajst-17929	207	8	machine	machine	PROPN
ajst-17929	207	9	tool,2020,(1	tool,2020,(1	NOUN
ajst-17929	207	10	):	):	PUNCT
ajst-17929	207	11	136	136	NUM
ajst-17929	207	12	-	-	SYM
ajst-17929	207	13	140	140	NUM
ajst-17929	207	14	.	.	PUNCT
ajst-17929	208	1	[	[	X
ajst-17929	208	2	7	7	X
ajst-17929	208	3	]	]	X
ajst-17929	208	4	zhang	zhang	PROPN
ajst-17929	208	5	guihua	guihua	PROPN
ajst-17929	208	6	,	,	PUNCT
ajst-17929	208	7	feng	feng	PROPN
ajst-17929	208	8	yanbo	yanbo	NOUN
ajst-17929	208	9	,	,	PUNCT
ajst-17929	208	10	lu	lu	PROPN
ajst-17929	208	11	weidong	weidong	PROPN
ajst-17929	208	12	.	.	PUNCT
ajst-17929	209	1	gray	gray	ADJ
ajst-17929	209	2	-	-	PUNCT
ajst-17929	209	3	scale	scale	NOUN
ajst-17929	209	4	and	and	CCONJ
ajst-17929	209	5	feature	feature	NOUN
ajst-17929	209	6	region	region	NOUN
ajst-17929	209	7	acquisition	acquisition	NOUN
ajst-17929	209	8	of	of	ADP
ajst-17929	209	9	image	image	NOUN
ajst-17929	209	10	processing	processing	NOUN
ajst-17929	209	11	[	[	X
ajst-17929	209	12	j	j	X
ajst-17929	209	13	]	]	X
ajst-17929	209	14	.	.	PUNCT
ajst-17929	210	1	journal	journal	PROPN
ajst-17929	210	2	of	of	ADP
ajst-17929	210	3	qiqihar	qiqihar	PROPN
ajst-17929	210	4	university	university	NOUN
ajst-17929	210	5	:	:	PUNCT
ajst-17929	210	6	natural	natural	ADJ
ajst-17929	210	7	science	science	NOUN
ajst-17929	210	8	edition	edition	NOUN
ajst-17929	210	9	,	,	PUNCT
ajst-17929	210	10	2007,23(4):49	2007,23(4):49	NUM
ajst-17929	210	11	-	-	SYM
ajst-17929	210	12	52	52	NUM
ajst-17929	210	13	.	.	PUNCT
ajst-17929	211	1	[	[	X
ajst-17929	211	2	8	8	NUM
ajst-17929	211	3	]	]	X
ajst-17929	211	4	tang	tang	PROPN
ajst-17929	211	5	jian	jian	PROPN
ajst-17929	211	6	.	.	PROPN
ajst-17929	211	7	research	research	PROPN
ajst-17929	211	8	on	on	ADP
ajst-17929	211	9	solar	solar	ADJ
ajst-17929	211	10	multi	multi	ADJ
ajst-17929	211	11	-	-	ADJ
ajst-17929	211	12	band	band	ADJ
ajst-17929	211	13	image	image	NOUN
ajst-17929	211	14	registration	registration	NOUN
ajst-17929	211	15	method	method	NOUN
ajst-17929	212	1	[	[	X
ajst-17929	212	2	d	d	X
ajst-17929	212	3	]	]	X
ajst-17929	212	4	.	.	PUNCT
ajst-17929	213	1	kunming	kunming	PROPN
ajst-17929	213	2	university	university	PROPN
ajst-17929	213	3	of	of	ADP
ajst-17929	213	4	science	science	NOUN
ajst-17929	213	5	and	and	CCONJ
ajst-17929	213	6	technology	technology	NOUN
ajst-17929	213	7	.	.	PUNCT
ajst-17929	214	1	[	[	X
ajst-17929	214	2	9	9	NUM
ajst-17929	214	3	]	]	X
ajst-17929	214	4	lu	lu	PROPN
ajst-17929	214	5	yan	yan	PROPN
ajst-17929	214	6	.	.	PUNCT
ajst-17929	215	1	research	research	NOUN
ajst-17929	215	2	on	on	ADP
ajst-17929	215	3	image	image	NOUN
ajst-17929	215	4	segmentation	segmentation	NOUN
ajst-17929	215	5	based	base	VERB
ajst-17929	215	6	on	on	ADP
ajst-17929	215	7	threshold	threshold	NOUN
ajst-17929	215	8	algorithm	algorithm	NOUN
ajst-17929	216	1	[	[	X
ajst-17929	216	2	d	d	X
ajst-17929	216	3	]	]	X
ajst-17929	216	4	.	.	PUNCT
ajst-17929	217	1	chongqing	chongqe	VERB
ajst-17929	217	2	university,2011	university,2011	PROPN
ajst-17929	218	1	[	[	X
ajst-17929	218	2	10	10	NUM
ajst-17929	218	3	]	]	X
ajst-17929	218	4	liu	liu	PROPN
ajst-17929	218	5	guihong	guihong	PROPN
ajst-17929	218	6	,	,	PUNCT
ajst-17929	218	7	zhao	zhao	PROPN
ajst-17929	218	8	liang	liang	PROPN
ajst-17929	218	9	,	,	PUNCT
ajst-17929	218	10	sun	sun	PROPN
ajst-17929	218	11	jinguang	jinguang	PROPN
ajst-17929	218	12	,	,	PUNCT
ajst-17929	218	13	wang	wang	PROPN
ajst-17929	218	14	wang	wang	PROPN
ajst-17929	218	15	.	.	PUNCT
ajst-17929	219	1	an	an	DET
ajst-17929	219	2	improved	improve	VERB
ajst-17929	219	3	particle	particle	NOUN
ajst-17929	219	4	swarm	swarm	NOUN
ajst-17929	219	5	optimization	optimization	NOUN
ajst-17929	219	6	algorithm	algorithm	NOUN
ajst-17929	219	7	for	for	ADP
ajst-17929	219	8	otsu	otsu	ADJ
ajst-17929	219	9	image	image	NOUN
ajst-17929	219	10	threshold	threshold	NOUN
ajst-17929	219	11	segmentation	segmentation	NOUN
ajst-17929	220	1	[	[	X
ajst-17929	220	2	j	j	X
ajst-17929	220	3	]	]	X
ajst-17929	220	4	.	.	PUNCT
ajst-17929	221	1	computer	computer	NOUN
ajst-17929	221	2	science,2016,(3	science,2016,(3	NOUN
ajst-17929	221	3	):	):	PUNCT
ajst-17929	221	4	[	[	X
ajst-17929	221	5	11	11	NUM
ajst-17929	221	6	]	]	X
ajst-17929	221	7	dong	dong	PROPN
ajst-17929	221	8	hongbin	hongbin	PROPN
ajst-17929	221	9	,	,	PUNCT
ajst-17929	221	10	li	li	PROPN
ajst-17929	221	11	dongjin	dongjin	PROPN
ajst-17929	221	12	,	,	PUNCT
ajst-17929	221	13	zhang	zhang	PROPN
ajst-17929	221	14	xiaoping	xiaoping	PROPN
ajst-17929	221	15	.	.	PUNCT
ajst-17929	222	1	a	a	DET
ajst-17929	222	2	particle	particle	NOUN
ajst-17929	222	3	swarm	swarm	NOUN
ajst-17929	222	4	optimization	optimization	NOUN
ajst-17929	222	5	algorithm	algorithm	NOUN
ajst-17929	222	6	for	for	ADP
ajst-17929	222	7	dynamic	dynamic	ADJ
ajst-17929	222	8	adjustment	adjustment	NOUN
ajst-17929	222	9	of	of	ADP
ajst-17929	222	10	inertia	inertia	NOUN
ajst-17929	222	11	weights	weight	NOUN
ajst-17929	223	1	[	[	X
ajst-17929	223	2	j	j	X
ajst-17929	223	3	]	]	X
ajst-17929	223	4	.	.	PUNCT
ajst-17929	224	1	computer	computer	NOUN
ajst-17929	224	2	science,2018,45(2):98	science,2018,45(2):98	NOUN
ajst-17929	224	3	-	-	PUNCT
ajst-17929	224	4	102139	102139	NUM
ajst-17929	224	5	.	.	PUNCT
ajst-17929	225	1	(	(	PUNCT
ajst-17929	225	2	in	in	ADP
ajst-17929	225	3	chinese	chinese	PROPN
ajst-17929	225	4	)	)	PUNCT
ajst-17929	225	5	.	.	PUNCT
ajst-17929	226	1	[	[	X
ajst-17929	226	2	12	12	NUM
ajst-17929	226	3	]	]	PUNCT
ajst-17929	226	4	ao	ao	PROPN
ajst-17929	226	5	yongcai	yongcai	PROPN
ajst-17929	226	6	,	,	PUNCT
ajst-17929	226	7	shi	shi	PROPN
ajst-17929	226	8	yibing	yibing	PROPN
ajst-17929	226	9	,	,	PUNCT
ajst-17929	226	10	zhang	zhang	PROPN
ajst-17929	226	11	wei	wei	PROPN
ajst-17929	226	12	,	,	PUNCT
ajst-17929	226	13	li	li	PROPN
ajst-17929	226	14	yanyun	yanyun	PROPN
ajst-17929	226	15	.	.	PUNCT
ajst-17929	227	1	improved	improve	VERB
ajst-17929	227	2	particle	particle	NOUN
ajst-17929	227	3	swarm	swarm	NOUN
ajst-17929	227	4	optimization	optimization	NOUN
ajst-17929	227	5	based	base	VERB
ajst-17929	227	6	on	on	ADP
ajst-17929	227	7	adaptive	adaptive	ADJ
ajst-17929	227	8	inertia	inertia	NOUN
ajst-17929	227	9	weights	weight	NOUN
ajst-17929	228	1	[	[	X
ajst-17929	228	2	j	j	X
ajst-17929	228	3	]	]	X
ajst-17929	228	4	.	.	PUNCT
ajst-17929	229	1	journal	journal	PROPN
ajst-17929	229	2	of	of	ADP
ajst-17929	229	3	university	university	PROPN
ajst-17929	229	4	of	of	ADP
ajst-17929	229	5	electronic	electronic	ADJ
ajst-17929	229	6	science	science	NOUN
ajst-17929	229	7	and	and	CCONJ
ajst-17929	229	8	technology	technology	NOUN
ajst-17929	229	9	of	of	ADP
ajst-17929	229	10	china,2014,(6	china,2014,(6	NOUN
ajst-17929	229	11	):	):	PUNCT
ajst-17929	229	12	874	874	NUM
ajst-17929	229	13	-	-	SYM
ajst-17929	229	14	880	880	NUM
ajst-17929	229	15	.	.	PUNCT
ajst-17929	230	1	[	[	X
ajst-17929	230	2	13	13	NUM
ajst-17929	230	3	]	]	X
ajst-17929	230	4	cheng	cheng	PROPN
ajst-17929	230	5	wansheng	wansheng	PROPN
ajst-17929	230	6	,	,	PUNCT
ajst-17929	230	7	zang	zang	PROPN
ajst-17929	230	8	xizhe	xizhe	PROPN
ajst-17929	230	9	,	,	PUNCT
ajst-17929	230	10	zhao	zhao	PROPN
ajst-17929	230	11	jie	jie	PROPN
ajst-17929	230	12	,	,	PUNCT
ajst-17929	230	13	cai	cai	X
ajst-17929	230	14	hegao	hegao	X
ajst-17929	230	15	.	.	PUNCT
ajst-17929	231	1	optics	optic	NOUN
ajst-17929	231	2	and	and	CCONJ
ajst-17929	231	3	precision	precision	NOUN
ajst-17929	231	4	engineering,2008,(10	engineering,2008,(10	NOUN
ajst-17929	231	5	):	):	PUNCT
ajst-17929	231	6	1907	1907	NUM
ajst-17929	231	7	-	-	SYM
ajst-17929	231	8	1912	1912	NUM
ajst-17929	231	9	.	.	PUNCT
ajst-17929	232	1	improved	improve	VERB
ajst-17929	232	2	pso	pso	NOUN
ajst-17929	232	3	inertia	inertia	NOUN
ajst-17929	232	4	factor	factor	NOUN
ajst-17929	232	5	for	for	ADP
ajst-17929	232	6	otsu	otsu	ADJ
ajst-17929	232	7	threshold	threshold	NOUN
ajst-17929	232	8	search	search	NOUN
ajst-17929	233	1	[	[	X
ajst-17929	233	2	j	j	X
ajst-17929	233	3	]	]	X
ajst-17929	233	4	.	.	PUNCT
ajst-17929	234	1	[	[	X
ajst-17929	234	2	14	14	NUM
ajst-17929	234	3	]	]	X
ajst-17929	234	4	liu	liu	PROPN
ajst-17929	234	5	shenxiao	shenxiao	PROPN
ajst-17929	234	6	,	,	PUNCT
ajst-17929	234	7	wang	wang	PROPN
ajst-17929	234	8	xuechun	xuechun	PROPN
ajst-17929	234	9	,	,	PUNCT
ajst-17929	234	10	chang	chang	PROPN
ajst-17929	234	11	chaowen	chaowen	PROPN
ajst-17929	234	12	.	.	PUNCT
ajst-17929	235	1	otsu	otsu	ADJ
ajst-17929	235	2	image	image	NOUN
ajst-17929	235	3	segmentation	segmentation	NOUN
ajst-17929	235	4	method	method	NOUN
ajst-17929	235	5	based	base	VERB
ajst-17929	235	6	on	on	ADP
ajst-17929	235	7	improved	improve	VERB
ajst-17929	235	8	particle	particle	NOUN
ajst-17929	235	9	swarm	swarm	NOUN
ajst-17929	235	10	optimization	optimization	NOUN
ajst-17929	236	1	[	[	X
ajst-17929	236	2	j	j	X
ajst-17929	236	3	]	]	X
ajst-17929	236	4	.	.	PUNCT
ajst-17929	237	1	computer	computer	NOUN
ajst-17929	237	2	science,2013,(8	science,2013,(8	NOUN
ajst-17929	237	3	):	):	PUNCT
ajst-17929	237	4	293	293	NUM
ajst-17929	237	5	-	-	SYM
ajst-17929	237	6	295	295	NUM
ajst-17929	237	7	.	.	PUNCT
ajst-17929	238	1	[	[	X
ajst-17929	238	2	15	15	NUM
ajst-17929	238	3	]	]	X
ajst-17929	238	4	zhang	zhang	PROPN
ajst-17929	238	5	xinjuan	xinjuan	PROPN
ajst-17929	238	6	,	,	PUNCT
ajst-17929	238	7	lei	lei	PROPN
ajst-17929	238	8	xiujuan	xiujuan	PROPN
ajst-17929	238	9	.	.	PUNCT
ajst-17929	239	1	application	application	NOUN
ajst-17929	239	2	of	of	ADP
ajst-17929	239	3	improved	improved	ADJ
ajst-17929	239	4	pso	pso	NOUN
ajst-17929	239	5	algorithm	algorithm	NOUN
ajst-17929	239	6	in	in	ADP
ajst-17929	239	7	two	two	NUM
ajst-17929	239	8	-	-	PUNCT
ajst-17929	239	9	dimensional	dimensional	ADJ
ajst-17929	239	10	optimal	optimal	ADJ
ajst-17929	239	11	threshold	threshold	NOUN
ajst-17929	239	12	image	image	NOUN
ajst-17929	239	13	segmentation	segmentation	NOUN
ajst-17929	240	1	[	[	X
ajst-17929	240	2	j	j	X
ajst-17929	240	3	]	]	X
ajst-17929	240	4	.	.	PUNCT
ajst-17929	241	1	computer	computer	NOUN
ajst-17929	241	2	engineering	engineering	NOUN
ajst-17929	241	3	and	and	CCONJ
ajst-17929	241	4	applications	application	NOUN
ajst-17929	241	5	,	,	PUNCT
ajst-17929	241	6	2011	2011	NUM
ajst-17929	241	7	,	,	PUNCT
ajst-17929	241	8	(	(	PUNCT
ajst-17929	241	9	26	26	NUM
ajst-17929	241	10	)	)	PUNCT
ajst-17929	241	11	.	.	PUNCT
ajst-17929	242	1	236	236	NUM
ajst-17929	243	1	[	[	SYM
ajst-17929	243	2	16	16	NUM
ajst-17929	243	3	]	]	X
ajst-17929	243	4	tian	tian	PROPN
ajst-17929	243	5	xinghua	xinghua	PROPN
ajst-17929	243	6	.	.	PUNCT
ajst-17929	244	1	research	research	NOUN
ajst-17929	244	2	on	on	ADP
ajst-17929	244	3	improved	improve	VERB
ajst-17929	244	4	particle	particle	NOUN
ajst-17929	244	5	swarm	swarm	NOUN
ajst-17929	244	6	optimization	optimization	NOUN
ajst-17929	244	7	based	base	VERB
ajst-17929	244	8	on	on	ADP
ajst-17929	244	9	chaotic	chaotic	ADJ
ajst-17929	244	10	mapping	mapping	NOUN
ajst-17929	245	1	[	[	X
ajst-17929	245	2	d	d	X
ajst-17929	245	3	]	]	X
ajst-17929	245	4	.	.	PUNCT
ajst-17929	246	1	qingdao	qingdao	PROPN
ajst-17929	246	2	university	university	PROPN
ajst-17929	246	3	,	,	PUNCT
ajst-17929	246	4	2020	2020	NUM
ajst-17929	246	5	.	.	PUNCT
ajst-17929	247	1	[	[	X
ajst-17929	247	2	17	17	NUM
ajst-17929	247	3	]	]	PUNCT
ajst-17929	247	4	xu	xu	PROPN
ajst-17929	248	1	zu	zu	X
ajst-17929	248	2	.	.	PUNCT
ajst-17929	249	1	iso	iso	PROPN
ajst-17929	249	2	3685	3685	NUM
ajst-17929	249	3	-	-	SYM
ajst-17929	249	4	1977	1977	NUM
ajst-17929	249	5	(	(	PUNCT
ajst-17929	249	6	e	e	NOUN
ajst-17929	249	7	)	)	PUNCT
ajst-17929	249	8	life	life	NOUN
ajst-17929	249	9	test	test	NOUN
ajst-17929	249	10	of	of	ADP
ajst-17929	249	11	single	single	ADJ
ajst-17929	249	12	-	-	PUNCT
ajst-17929	249	13	edge	edge	NOUN
ajst-17929	249	14	turning	turning	NOUN
ajst-17929	249	15	tools	tool	NOUN
ajst-17929	249	16	[	[	X
ajst-17929	249	17	j	j	X
ajst-17929	249	18	]	]	X
ajst-17929	249	19	.	.	PUNCT
ajst-17929	250	1	tool	tool	NOUN
ajst-17929	250	2	technology,1979,(4	technology,1979,(4	NOUN
ajst-17929	250	3	):	):	PUNCT
ajst-17929	250	4	55	55	NUM
ajst-17929	250	5	-	-	SYM
ajst-17929	250	6	65	65	NUM
ajst-17929	250	7	.	.	PUNCT
ajst-17929	251	1	[	[	X
ajst-17929	251	2	18	18	NUM
ajst-17929	251	3	]	]	X
ajst-17929	251	4	qin	qin	PROPN
ajst-17929	251	5	guohua	guohua	PROPN
ajst-17929	251	6	,	,	PUNCT
ajst-17929	251	7	yi	yi	PROPN
ajst-17929	251	8	xin	xin	PROPN
ajst-17929	251	9	,	,	PUNCT
ajst-17929	251	10	li	li	PROPN
ajst-17929	251	11	yilan	yilan	PROPN
ajst-17929	251	12	,	,	PUNCT
ajst-17929	251	13	xie	xie	PROPN
ajst-17929	251	14	wenbin	wenbin	PROPN
ajst-17929	251	15	.	.	PUNCT
ajst-17929	252	1	optical	optical	ADJ
ajst-17929	252	2	precision	precision	NOUN
ajst-17929	252	3	engineering,2014	engineering,2014	NOUN
ajst-17929	252	4	,	,	PUNCT
ajst-17929	252	5	vol	vol	NOUN
ajst-17929	252	6	.	.	PROPN
ajst-17929	252	7	22	22	NUM
ajst-17929	252	8	(	(	PUNCT
ajst-17929	252	9	12	12	NUM
ajst-17929	252	10	):	):	PUNCT
ajst-17929	252	11	3332	3332	NUM
ajst-17929	252	12	-	-	SYM
ajst-17929	252	13	3341	3341	NUM
ajst-17929	252	14	.	.	PUNCT