id	sid	tid	token	lemma	pos
cana-3361	1	1	communications	communication	NOUN
cana-3361	1	2	on	on	ADP
cana-3361	1	3	applied	apply	VERB
cana-3361	1	4	nonlinear	nonlinear	ADJ
cana-3361	1	5	analysis	analysis	NOUN
cana-3361	1	6	issn	issn	NOUN
cana-3361	1	7	:	:	PUNCT
cana-3361	1	8	1074	1074	NUM
cana-3361	1	9	-	-	PUNCT
cana-3361	1	10	133x	133x	NUM
cana-3361	1	11	vol	vol	NOUN
cana-3361	1	12	32	32	NUM
cana-3361	1	13	no	no	NOUN
cana-3361	1	14	.	.	PUNCT
cana-3361	2	1	7s	7	NOUN
cana-3361	2	2	(	(	PUNCT
cana-3361	2	3	2025	2025	NUM
cana-3361	2	4	)	)	PUNCT
cana-3361	2	5	46	46	NUM
cana-3361	3	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3361	3	2	a	a	DET
cana-3361	3	3	genetic	genetic	ADJ
cana-3361	3	4	algorithm	algorithm	NOUN
cana-3361	3	5	approach	approach	NOUN
cana-3361	3	6	to	to	ADP
cana-3361	3	7	segment	segment	NOUN
cana-3361	3	8	household	household	NOUN
cana-3361	3	9	objects	object	NOUN
cana-3361	3	10	from	from	ADP
cana-3361	3	11	an	an	DET
cana-3361	3	12	image	image	NOUN
cana-3361	3	13	smita	smita	NOUN
cana-3361	3	14	gour1	gour1	PROPN
cana-3361	3	15	*	*	PROPN
cana-3361	3	16	,	,	PUNCT
cana-3361	3	17	pushpa	pushpa	PROPN
cana-3361	3	18	b.	b.	PROPN
cana-3361	3	19	patil2	patil2	PROPN
cana-3361	3	20	department	department	PROPN
cana-3361	3	21	of	of	ADP
cana-3361	3	22	computer	computer	NOUN
cana-3361	3	23	science	science	NOUN
cana-3361	3	24	and	and	CCONJ
cana-3361	3	25	engineering	engineering	NOUN
cana-3361	3	26	,	,	PUNCT
cana-3361	3	27	basaveshwar	basaveshwar	ADJ
cana-3361	3	28	engineering	engineering	PROPN
cana-3361	3	29	college	college	NOUN
cana-3361	3	30	,	,	PUNCT
cana-3361	3	31	bagalkot	bagalkot	NOUN
cana-3361	3	32	,	,	PUNCT
cana-3361	3	33	karnataka	karnataka	PROPN
cana-3361	3	34	,	,	PUNCT
cana-3361	3	35	india1	india1	PROPN
cana-3361	3	36	department	department	NOUN
cana-3361	3	37	of	of	ADP
cana-3361	3	38	computer	computer	NOUN
cana-3361	3	39	science	science	NOUN
cana-3361	3	40	and	and	CCONJ
cana-3361	3	41	engineering	engineering	NOUN
cana-3361	3	42	,	,	PUNCT
cana-3361	3	43	bldea	bldea	NOUN
cana-3361	3	44	's	's	PART
cana-3361	3	45	v	v	NOUN
cana-3361	3	46	p	p	PROPN
cana-3361	3	47	dr	dr	PROPN
cana-3361	3	48	p	p	PROPN
cana-3361	3	49	g	g	PROPN
cana-3361	3	50	halakatti	halakatti	PROPN
cana-3361	3	51	college	college	PROPN
cana-3361	3	52	of	of	ADP
cana-3361	3	53	engineering	engineering	PROPN
cana-3361	3	54	&	&	CCONJ
cana-3361	3	55	technology	technology	PROPN
cana-3361	3	56	,	,	PUNCT
cana-3361	3	57	vijayapur	vijayapur	PROPN
cana-3361	3	58	,	,	PUNCT
cana-3361	3	59	karnataka	karnataka	PROPN
cana-3361	3	60	,	,	PUNCT
cana-3361	3	61	india2	india2	NOUN
cana-3361	3	62	*	*	PUNCT
cana-3361	3	63	smita.gour@gmail.com	smita.gour@gmail.com	X
cana-3361	3	64	article	article	NOUN
cana-3361	3	65	history	history	NOUN
cana-3361	3	66	:	:	PUNCT
cana-3361	3	67	received	receive	VERB
cana-3361	3	68	:	:	PUNCT
cana-3361	3	69	28	28	NUM
cana-3361	3	70	-	-	SYM
cana-3361	3	71	10	10	NUM
cana-3361	3	72	-	-	PUNCT
cana-3361	3	73	2024	2024	NUM
cana-3361	3	74	revised	revise	VERB
cana-3361	3	75	:	:	PUNCT
cana-3361	3	76	04	04	NUM
cana-3361	3	77	-	-	SYM
cana-3361	3	78	11	11	NUM
cana-3361	3	79	-	-	PUNCT
cana-3361	3	80	2024	2024	NUM
cana-3361	3	81	accepted	accept	VERB
cana-3361	3	82	:	:	PUNCT
cana-3361	3	83	13	13	NUM
cana-3361	3	84	-	-	SYM
cana-3361	3	85	12	12	NUM
cana-3361	3	86	-	-	PUNCT
cana-3361	3	87	2024	2024	NUM
cana-3361	3	88	abstract	abstract	NOUN
cana-3361	3	89	:	:	PUNCT
cana-3361	3	90	in	in	ADP
cana-3361	3	91	the	the	DET
cana-3361	3	92	field	field	NOUN
cana-3361	3	93	of	of	ADP
cana-3361	3	94	computer	computer	NOUN
cana-3361	3	95	image	image	NOUN
cana-3361	3	96	,	,	PUNCT
cana-3361	3	97	segmentation	segmentation	NOUN
cana-3361	3	98	of	of	ADP
cana-3361	3	99	colour	colour	NOUN
cana-3361	3	100	image	image	NOUN
cana-3361	3	101	is	be	AUX
cana-3361	3	102	being	be	AUX
cana-3361	3	103	considered	consider	VERB
cana-3361	3	104	as	as	ADP
cana-3361	3	105	one	one	NUM
cana-3361	3	106	of	of	ADP
cana-3361	3	107	the	the	DET
cana-3361	3	108	challenging	challenging	ADJ
cana-3361	3	109	problems	problem	NOUN
cana-3361	3	110	.	.	PUNCT
cana-3361	4	1	in	in	ADP
cana-3361	4	2	order	order	NOUN
cana-3361	4	3	to	to	PART
cana-3361	4	4	effectively	effectively	ADV
cana-3361	4	5	carry	carry	VERB
cana-3361	4	6	out	out	ADP
cana-3361	4	7	tasks	task	NOUN
cana-3361	4	8	assigned	assign	VERB
cana-3361	4	9	by	by	ADP
cana-3361	4	10	human	human	ADJ
cana-3361	4	11	operators	operator	NOUN
cana-3361	4	12	,	,	PUNCT
cana-3361	4	13	robots	robot	NOUN
cana-3361	4	14	operating	operate	VERB
cana-3361	4	15	in	in	ADP
cana-3361	4	16	domestic	domestic	ADJ
cana-3361	4	17	environments	environment	NOUN
cana-3361	4	18	should	should	AUX
cana-3361	4	19	be	be	AUX
cana-3361	4	20	able	able	ADJ
cana-3361	4	21	to	to	PART
cana-3361	4	22	detect	detect	VERB
cana-3361	4	23	and	and	CCONJ
cana-3361	4	24	distinguish	distinguish	VERB
cana-3361	4	25	the	the	DET
cana-3361	4	26	things	thing	NOUN
cana-3361	4	27	utilized	utilize	VERB
cana-3361	4	28	in	in	ADP
cana-3361	4	29	the	the	DET
cana-3361	4	30	home	home	NOUN
cana-3361	4	31	.	.	PUNCT
cana-3361	5	1	segmentation	segmentation	NOUN
cana-3361	5	2	enables	enable	VERB
cana-3361	5	3	robots	robot	NOUN
cana-3361	5	4	to	to	PART
cana-3361	5	5	understand	understand	VERB
cana-3361	5	6	the	the	DET
cana-3361	5	7	context	context	NOUN
cana-3361	5	8	of	of	ADP
cana-3361	5	9	the	the	DET
cana-3361	5	10	environment	environment	NOUN
cana-3361	5	11	by	by	ADP
cana-3361	5	12	identifying	identify	VERB
cana-3361	5	13	and	and	CCONJ
cana-3361	5	14	categorizing	categorize	VERB
cana-3361	5	15	objects	object	NOUN
cana-3361	5	16	.	.	PUNCT
cana-3361	6	1	an	an	DET
cana-3361	6	2	image	image	NOUN
cana-3361	6	3	segmentation	segmentation	NOUN
cana-3361	6	4	using	use	VERB
cana-3361	6	5	genetic	genetic	ADJ
cana-3361	6	6	algorithm	algorithm	NOUN
cana-3361	6	7	is	be	AUX
cana-3361	6	8	presented	present	VERB
cana-3361	6	9	in	in	ADP
cana-3361	6	10	this	this	DET
cana-3361	6	11	work	work	NOUN
cana-3361	6	12	.	.	PUNCT
cana-3361	7	1	it	it	PRON
cana-3361	7	2	is	be	AUX
cana-3361	7	3	a	a	DET
cana-3361	7	4	natural	natural	ADJ
cana-3361	7	5	evolutionary	evolutionary	ADJ
cana-3361	7	6	approach	approach	NOUN
cana-3361	7	7	for	for	ADP
cana-3361	7	8	optimization	optimization	NOUN
cana-3361	7	9	problems	problem	NOUN
cana-3361	7	10	.	.	PUNCT
cana-3361	8	1	in	in	ADP
cana-3361	8	2	most	most	ADJ
cana-3361	8	3	of	of	ADP
cana-3361	8	4	the	the	DET
cana-3361	8	5	colour	colour	NOUN
cana-3361	8	6	image	image	NOUN
cana-3361	8	7	segmentation	segmentation	NOUN
cana-3361	8	8	techniques	technique	NOUN
cana-3361	8	9	the	the	DET
cana-3361	8	10	clustering	clustering	NOUN
cana-3361	8	11	is	be	AUX
cana-3361	8	12	used	use	VERB
cana-3361	8	13	at	at	ADP
cana-3361	8	14	beginning	begin	VERB
cana-3361	8	15	to	to	PART
cana-3361	8	16	segregate	segregate	VERB
cana-3361	8	17	colour	colour	NOUN
cana-3361	8	18	images	image	NOUN
cana-3361	8	19	and	and	CCONJ
cana-3361	8	20	then	then	ADV
cana-3361	8	21	genetic	genetic	ADJ
cana-3361	8	22	algorithm	algorithm	NOUN
cana-3361	8	23	(	(	PUNCT
cana-3361	8	24	ga	ga	NOUN
cana-3361	8	25	)	)	PUNCT
cana-3361	8	26	is	be	AUX
cana-3361	8	27	applied	apply	VERB
cana-3361	8	28	just	just	ADV
cana-3361	8	29	as	as	ADP
cana-3361	8	30	an	an	DET
cana-3361	8	31	optimization	optimization	NOUN
cana-3361	8	32	tool	tool	NOUN
cana-3361	8	33	.	.	PUNCT
cana-3361	9	1	here	here	ADV
cana-3361	9	2	kmeans	kmean	NOUN
cana-3361	9	3	clustering	cluster	VERB
cana-3361	9	4	technique	technique	NOUN
cana-3361	9	5	along	along	ADP
cana-3361	9	6	with	with	ADP
cana-3361	9	7	genetic	genetic	ADJ
cana-3361	9	8	algorithm	algorithm	NOUN
cana-3361	9	9	has	have	AUX
cana-3361	9	10	been	be	AUX
cana-3361	9	11	used	use	VERB
cana-3361	9	12	to	to	PART
cana-3361	9	13	find	find	VERB
cana-3361	9	14	optimal	optimal	ADJ
cana-3361	9	15	thresholds	threshold	NOUN
cana-3361	9	16	between	between	ADP
cana-3361	9	17	the	the	DET
cana-3361	9	18	multiple	multiple	ADJ
cana-3361	9	19	objects	object	NOUN
cana-3361	9	20	and	and	CCONJ
cana-3361	9	21	the	the	DET
cana-3361	9	22	complex	complex	ADJ
cana-3361	9	23	background	background	NOUN
cana-3361	9	24	.	.	PUNCT
cana-3361	10	1	for	for	ADP
cana-3361	10	2	optimization	optimization	NOUN
cana-3361	10	3	a	a	DET
cana-3361	10	4	genetic	genetic	ADJ
cana-3361	10	5	algorithm	algorithm	NOUN
cana-3361	10	6	is	be	AUX
cana-3361	10	7	applied	apply	VERB
cana-3361	10	8	on	on	ADP
cana-3361	10	9	the	the	DET
cana-3361	10	10	clustering	cluster	VERB
cana-3361	10	11	output	output	NOUN
cana-3361	10	12	in	in	ADP
cana-3361	10	13	which	which	PRON
cana-3361	10	14	segmentation	segmentation	NOUN
cana-3361	10	15	is	be	AUX
cana-3361	10	16	improved	improve	VERB
cana-3361	10	17	through	through	ADP
cana-3361	10	18	different	different	ADJ
cana-3361	10	19	steps	step	NOUN
cana-3361	10	20	of	of	ADP
cana-3361	10	21	ga	ga	PROPN
cana-3361	10	22	.	.	PUNCT
cana-3361	11	1	the	the	DET
cana-3361	11	2	experimental	experimental	ADJ
cana-3361	11	3	results	result	NOUN
cana-3361	11	4	shown	show	VERB
cana-3361	11	5	that	that	SCONJ
cana-3361	11	6	the	the	DET
cana-3361	11	7	combination	combination	NOUN
cana-3361	11	8	of	of	ADP
cana-3361	11	9	k	k	NOUN
cana-3361	11	10	-	-	PUNCT
cana-3361	11	11	means	mean	NOUN
cana-3361	11	12	and	and	CCONJ
cana-3361	11	13	ga	ga	PROPN
cana-3361	11	14	gave	give	VERB
cana-3361	11	15	promising	promising	ADJ
cana-3361	11	16	results	result	NOUN
cana-3361	11	17	with	with	ADP
cana-3361	11	18	an	an	DET
cana-3361	11	19	accuracy	accuracy	NOUN
cana-3361	11	20	of	of	ADP
cana-3361	11	21	90	90	NUM
cana-3361	11	22	%	%	NOUN
cana-3361	11	23	on	on	ADP
cana-3361	11	24	home	home	NOUN
cana-3361	11	25	object	object	NOUN
cana-3361	11	26	dataset	dataset	NOUN
cana-3361	11	27	.	.	PUNCT
cana-3361	12	1	also	also	ADV
cana-3361	12	2	,	,	PUNCT
cana-3361	12	3	a	a	DET
cana-3361	12	4	comparison	comparison	NOUN
cana-3361	12	5	is	be	AUX
cana-3361	12	6	made	make	VERB
cana-3361	12	7	between	between	ADP
cana-3361	12	8	the	the	DET
cana-3361	12	9	suggested	suggest	VERB
cana-3361	12	10	algorithm	algorithm	NOUN
cana-3361	12	11	and	and	CCONJ
cana-3361	12	12	the	the	DET
cana-3361	12	13	most	most	ADV
cana-3361	12	14	widely	widely	ADV
cana-3361	12	15	used	use	VERB
cana-3361	12	16	watershed	watershe	VERB
cana-3361	12	17	segmentation	segmentation	NOUN
cana-3361	12	18	algorithm	algorithm	NOUN
cana-3361	12	19	and	and	CCONJ
cana-3361	12	20	it	it	PRON
cana-3361	12	21	is	be	AUX
cana-3361	12	22	proved	prove	VERB
cana-3361	12	23	that	that	SCONJ
cana-3361	12	24	our	our	PRON
cana-3361	12	25	algorithm	algorithm	NOUN
cana-3361	12	26	has	have	AUX
cana-3361	12	27	given	give	VERB
cana-3361	12	28	equivalent	equivalent	ADJ
cana-3361	12	29	results	result	NOUN
cana-3361	12	30	on	on	ADP
cana-3361	12	31	both	both	CCONJ
cana-3361	12	32	standard	standard	ADJ
cana-3361	12	33	and	and	CCONJ
cana-3361	12	34	real	real	ADJ
cana-3361	12	35	time	time	NOUN
cana-3361	12	36	datasets	dataset	NOUN
cana-3361	12	37	.	.	PUNCT
cana-3361	13	1	keywords	keyword	NOUN
cana-3361	13	2	:	:	PUNCT
cana-3361	13	3	segmentation	segmentation	NOUN
cana-3361	13	4	,	,	PUNCT
cana-3361	13	5	genetic	genetic	ADJ
cana-3361	13	6	algorithm	algorithm	NOUN
cana-3361	13	7	,	,	PUNCT
cana-3361	13	8	k	k	ADJ
cana-3361	13	9	-	-	PUNCT
cana-3361	13	10	means	mean	VERB
cana-3361	13	11	clustering	clustering	NOUN
cana-3361	13	12	,	,	PUNCT
cana-3361	13	13	watershed	watershed	ADJ
cana-3361	13	14	algorithm	algorithm	NOUN
cana-3361	13	15	,	,	PUNCT
cana-3361	13	16	house	house	NOUN
cana-3361	13	17	-	-	PUNCT
cana-3361	13	18	hold	hold	VERB
cana-3361	13	19	objects	object	VERB
cana-3361	13	20	1.introduction	1.introduction	NUM
cana-3361	13	21	the	the	DET
cana-3361	13	22	process	process	NOUN
cana-3361	13	23	of	of	ADP
cana-3361	13	24	segregating	segregate	VERB
cana-3361	13	25	an	an	DET
cana-3361	13	26	image	image	NOUN
cana-3361	13	27	into	into	ADP
cana-3361	13	28	regions	region	NOUN
cana-3361	13	29	which	which	PRON
cana-3361	13	30	are	be	AUX
cana-3361	13	31	of	of	ADP
cana-3361	13	32	non	non	ADJ
cana-3361	13	33	-	-	ADJ
cana-3361	13	34	overlapping	overlapping	ADJ
cana-3361	13	35	,	,	PUNCT
cana-3361	13	36	connected	connect	VERB
cana-3361	13	37	,	,	PUNCT
cana-3361	13	38	homogenous	homogenous	ADJ
cana-3361	13	39	in	in	ADP
cana-3361	13	40	nature	nature	NOUN
cana-3361	13	41	is	be	AUX
cana-3361	13	42	termed	term	VERB
cana-3361	13	43	as	as	ADP
cana-3361	13	44	image	image	NOUN
cana-3361	13	45	segmentation	segmentation	NOUN
cana-3361	13	46	.	.	PUNCT
cana-3361	14	1	these	these	DET
cana-3361	14	2	regions	region	NOUN
cana-3361	14	3	are	be	AUX
cana-3361	14	4	partitioned	partition	VERB
cana-3361	14	5	in	in	ADP
cana-3361	14	6	such	such	DET
cana-3361	14	7	a	a	DET
cana-3361	14	8	way	way	NOUN
cana-3361	14	9	that	that	PRON
cana-3361	14	10	merging	merging	NOUN
cana-3361	14	11	of	of	ADP
cana-3361	14	12	any	any	DET
cana-3361	14	13	two	two	NUM
cana-3361	14	14	dimensionally	dimensionally	ADV
cana-3361	14	15	adjacent	adjacent	ADJ
cana-3361	14	16	regions	region	NOUN
cana-3361	14	17	will	will	AUX
cana-3361	14	18	not	not	PART
cana-3361	14	19	be	be	AUX
cana-3361	14	20	homogenous	homogenous	ADJ
cana-3361	14	21	.	.	PUNCT
cana-3361	15	1	there	there	PRON
cana-3361	15	2	will	will	AUX
cana-3361	15	3	be	be	AUX
cana-3361	15	4	either	either	DET
cana-3361	15	5	one	one	NUM
cana-3361	15	6	or	or	CCONJ
cana-3361	15	7	more	more	ADJ
cana-3361	15	8	-	-	PUNCT
cana-3361	15	9	pixel	pixel	ADJ
cana-3361	15	10	attributes	attribute	NOUN
cana-3361	15	11	defined	define	VERB
cana-3361	15	12	with	with	ADP
cana-3361	15	13	homogeneity	homogeneity	NOUN
cana-3361	15	14	constraints	constraint	NOUN
cana-3361	15	15	such	such	ADJ
cana-3361	15	16	as	as	ADP
cana-3361	15	17	texture	texture	ADJ
cana-3361	15	18	,	,	PUNCT
cana-3361	15	19	colour	colour	NOUN
cana-3361	15	20	,	,	PUNCT
cana-3361	15	21	intensity	intensity	NOUN
cana-3361	15	22	etc	etc	X
cana-3361	15	23	.	.	X
cana-3361	16	1	there	there	PRON
cana-3361	16	2	are	be	VERB
cana-3361	16	3	mainly	mainly	ADV
cana-3361	16	4	two	two	NUM
cana-3361	16	5	conditions	condition	NOUN
cana-3361	16	6	for	for	SCONJ
cana-3361	16	7	a	a	DET
cana-3361	16	8	region	region	NOUN
cana-3361	16	9	to	to	PART
cana-3361	16	10	be	be	AUX
cana-3361	16	11	homogenous	homogenous	ADJ
cana-3361	16	12	,	,	PUNCT
cana-3361	16	13	first	first	ADV
cana-3361	16	14	is	be	AUX
cana-3361	16	15	when	when	SCONJ
cana-3361	16	16	all	all	DET
cana-3361	16	17	pixels	pixel	NOUN
cana-3361	16	18	of	of	ADP
cana-3361	16	19	a	a	DET
cana-3361	16	20	region	region	NOUN
cana-3361	16	21	meet	meet	VERB
cana-3361	16	22	homogeneity	homogeneity	NOUN
cana-3361	16	23	constraints	constraint	NOUN
cana-3361	16	24	and	and	CCONJ
cana-3361	16	25	next	next	ADJ
cana-3361	16	26	is	be	AUX
cana-3361	16	27	the	the	DET
cana-3361	16	28	existence	existence	NOUN
cana-3361	16	29	of	of	ADP
cana-3361	16	30	a	a	DET
cana-3361	16	31	path	path	NOUN
cana-3361	16	32	connecting	connect	VERB
cana-3361	16	33	two	two	NUM
cana-3361	16	34	pixels	pixel	NOUN
cana-3361	16	35	within	within	ADP
cana-3361	16	36	the	the	DET
cana-3361	16	37	region	region	NOUN
cana-3361	16	38	.	.	PUNCT
cana-3361	17	1	an	an	DET
cana-3361	17	2	important	important	ADJ
cana-3361	17	3	pace	pace	NOUN
cana-3361	17	4	of	of	ADP
cana-3361	17	5	image	image	NOUN
cana-3361	17	6	perception	perception	NOUN
cana-3361	17	7	is	be	AUX
cana-3361	17	8	improvement	improvement	NOUN
cana-3361	17	9	of	of	ADP
cana-3361	17	10	quality	quality	NOUN
cana-3361	17	11	of	of	ADP
cana-3361	17	12	the	the	DET
cana-3361	17	13	images	image	NOUN
cana-3361	17	14	.	.	PUNCT
cana-3361	18	1	this	this	PRON
cana-3361	18	2	is	be	AUX
cana-3361	18	3	achieved	achieve	VERB
cana-3361	18	4	by	by	ADP
cana-3361	18	5	amplifying	amplify	VERB
cana-3361	18	6	the	the	DET
cana-3361	18	7	image	image	NOUN
cana-3361	18	8	contrast	contrast	NOUN
cana-3361	18	9	and	and	CCONJ
cana-3361	18	10	eliminating	eliminate	VERB
cana-3361	18	11	noise	noise	NOUN
cana-3361	18	12	signals	signal	NOUN
cana-3361	18	13	.	.	PUNCT
cana-3361	19	1	segmentation	segmentation	NOUN
cana-3361	19	2	is	be	AUX
cana-3361	19	3	one	one	NUM
cana-3361	19	4	of	of	ADP
cana-3361	19	5	the	the	DET
cana-3361	19	6	most	most	ADV
cana-3361	19	7	complicate	complicate	ADJ
cana-3361	19	8	but	but	CCONJ
cana-3361	19	9	pivotal	pivotal	ADJ
cana-3361	19	10	computer	computer	NOUN
cana-3361	19	11	innovation	innovation	NOUN
cana-3361	19	12	and	and	CCONJ
cana-3361	19	13	picture	picture	NOUN
cana-3361	19	14	perusal	perusal	NOUN
cana-3361	19	15	tasks	task	NOUN
cana-3361	19	16	that	that	PRON
cana-3361	19	17	has	have	AUX
cana-3361	19	18	been	be	AUX
cana-3361	19	19	broadly	broadly	ADV
cana-3361	19	20	researched	research	VERB
cana-3361	19	21	.	.	PUNCT
cana-3361	20	1	inaccessible	inaccessible	ADJ
cana-3361	20	2	of	of	ADP
cana-3361	20	3	a	a	DET
cana-3361	20	4	universal	universal	ADJ
cana-3361	20	5	segregating	segregating	ADJ
cana-3361	20	6	algorithm	algorithm	NOUN
cana-3361	20	7	with	with	ADP
cana-3361	20	8	performance	performance	NOUN
cana-3361	20	9	parallel	parallel	NOUN
cana-3361	20	10	to	to	ADP
cana-3361	20	11	human	human	ADJ
cana-3361	20	12	innovation	innovation	NOUN
cana-3361	20	13	especially	especially	ADV
cana-3361	20	14	for	for	ADP
cana-3361	20	15	colour	colour	NOUN
cana-3361	20	16	image	image	NOUN
cana-3361	20	17	segregating	segregate	VERB
cana-3361	20	18	still	still	ADV
cana-3361	20	19	keeps	keep	VERB
cana-3361	20	20	this	this	DET
cana-3361	20	21	communications	communication	NOUN
cana-3361	20	22	on	on	ADP
cana-3361	20	23	applied	apply	VERB
cana-3361	20	24	nonlinear	nonlinear	ADJ
cana-3361	20	25	analysis	analysis	NOUN
cana-3361	20	26	issn	issn	NOUN
cana-3361	20	27	:	:	PUNCT
cana-3361	20	28	1074	1074	NUM
cana-3361	20	29	-	-	PUNCT
cana-3361	20	30	133x	133x	NUM
cana-3361	20	31	vol	vol	NOUN
cana-3361	20	32	32	32	NUM
cana-3361	20	33	no	no	NOUN
cana-3361	20	34	.	.	PUNCT
cana-3361	21	1	7s	7	NOUN
cana-3361	21	2	(	(	PUNCT
cana-3361	21	3	2025	2025	NUM
cana-3361	21	4	)	)	PUNCT
cana-3361	21	5	47	47	NUM
cana-3361	21	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3361	21	7	field	field	NOUN
cana-3361	21	8	famous	famous	ADJ
cana-3361	21	9	for	for	ADP
cana-3361	21	10	study	study	NOUN
cana-3361	21	11	.	.	PUNCT
cana-3361	22	1	image	image	NOUN
cana-3361	22	2	segregating	segregating	NOUN
cana-3361	22	3	is	be	AUX
cana-3361	22	4	appraised	appraise	VERB
cana-3361	22	5	as	as	ADP
cana-3361	22	6	the	the	DET
cana-3361	22	7	first	first	ADJ
cana-3361	22	8	step	step	NOUN
cana-3361	22	9	of	of	ADP
cana-3361	22	10	perusal	perusal	NOUN
cana-3361	22	11	and	and	CCONJ
cana-3361	22	12	conception	conception	NOUN
cana-3361	22	13	.	.	PUNCT
cana-3361	23	1	in	in	ADP
cana-3361	23	2	the	the	DET
cana-3361	23	3	extreme10	extreme10	NOUN
cana-3361	23	4	years	year	NOUN
cana-3361	23	5	,	,	PUNCT
cana-3361	23	6	multi	multi	ADJ
cana-3361	23	7	-	-	ADJ
cana-3361	23	8	dimensional	dimensional	ADJ
cana-3361	23	9	image	image	NOUN
cana-3361	23	10	segregating	segregating	NOUN
cana-3361	23	11	has	have	AUX
cana-3361	23	12	awarded	award	VERB
cana-3361	23	13	a	a	DET
cana-3361	23	14	great	great	ADJ
cana-3361	23	15	deal	deal	NOUN
cana-3361	23	16	of	of	ADP
cana-3361	23	17	awareness	awareness	NOUN
cana-3361	23	18	for	for	ADP
cana-3361	23	19	remote	remote	ADJ
cana-3361	23	20	sensing	sensing	NOUN
cana-3361	23	21	and	and	CCONJ
cana-3361	23	22	industrial	industrial	ADJ
cana-3361	23	23	applications	application	NOUN
cana-3361	23	24	because	because	SCONJ
cana-3361	23	25	it	it	PRON
cana-3361	23	26	greatly	greatly	ADV
cana-3361	23	27	improves	improve	VERB
cana-3361	23	28	the	the	DET
cana-3361	23	29	differentiation	differentiation	NOUN
cana-3361	23	30	and	and	CCONJ
cana-3361	23	31	the	the	DET
cana-3361	23	32	recognition	recognition	NOUN
cana-3361	23	33	capabilities	capability	NOUN
cana-3361	23	34	compared	compare	VERB
cana-3361	23	35	with	with	ADP
cana-3361	23	36	grey	grey	ADJ
cana-3361	23	37	-	-	PUNCT
cana-3361	23	38	levels	level	NOUN
cana-3361	23	39	image	image	NOUN
cana-3361	23	40	segregating	segregate	VERB
cana-3361	23	41	methods	method	NOUN
cana-3361	23	42	.	.	PUNCT
cana-3361	24	1	generally	generally	ADV
cana-3361	24	2	,	,	PUNCT
cana-3361	24	3	the	the	DET
cana-3361	24	4	segmentation	segmentation	NOUN
cana-3361	24	5	methods	method	NOUN
cana-3361	24	6	are	be	AUX
cana-3361	24	7	categorised	categorise	VERB
cana-3361	24	8	based	base	VERB
cana-3361	24	9	on	on	ADP
cana-3361	24	10	the	the	DET
cana-3361	24	11	approaches	approach	NOUN
cana-3361	24	12	used	use	VERB
cana-3361	24	13	such	such	ADJ
cana-3361	24	14	as	as	ADP
cana-3361	24	15	histogram	histogram	NOUN
cana-3361	24	16	,	,	PUNCT
cana-3361	24	17	edge	edge	NOUN
cana-3361	24	18	,	,	PUNCT
cana-3361	24	19	region	region	NOUN
cana-3361	24	20	,	,	PUNCT
cana-3361	24	21	cluster	cluster	NOUN
cana-3361	24	22	and	and	CCONJ
cana-3361	24	23	hybrid	hybrid	NOUN
cana-3361	24	24	.	.	PUNCT
cana-3361	25	1	numerous	numerous	ADJ
cana-3361	25	2	techniques	technique	NOUN
cana-3361	25	3	for	for	ADP
cana-3361	25	4	segmenting	segment	VERB
cana-3361	25	5	an	an	DET
cana-3361	25	6	image	image	NOUN
cana-3361	25	7	are	be	AUX
cana-3361	25	8	accessible	accessible	ADJ
cana-3361	25	9	based	base	VERB
cana-3361	25	10	on	on	ADP
cana-3361	25	11	wrapper	wrapper	NOUN
cana-3361	25	12	approach	approach	NOUN
cana-3361	25	13	,	,	PUNCT
cana-3361	25	14	prior	prior	ADJ
cana-3361	25	15	knowledge	knowledge	NOUN
cana-3361	25	16	,	,	PUNCT
cana-3361	25	17	colour	colour	ADJ
cana-3361	25	18	basis	basis	NOUN
cana-3361	25	19	,	,	PUNCT
cana-3361	25	20	object	object	VERB
cana-3361	25	21	matching	matching	NOUN
cana-3361	25	22	and	and	CCONJ
cana-3361	25	23	etc	etc	X
cana-3361	25	24	.	.	X
cana-3361	26	1	the	the	DET
cana-3361	26	2	progress	progress	NOUN
cana-3361	26	3	in	in	ADP
cana-3361	26	4	automatic	automatic	ADJ
cana-3361	26	5	segmentation	segmentation	NOUN
cana-3361	26	6	technique	technique	NOUN
cana-3361	26	7	is	be	AUX
cana-3361	26	8	vital	vital	ADJ
cana-3361	26	9	region	region	NOUN
cana-3361	26	10	in	in	ADP
cana-3361	26	11	field	field	NOUN
cana-3361	26	12	of	of	ADP
cana-3361	26	13	research	research	NOUN
cana-3361	26	14	.	.	PUNCT
cana-3361	27	1	segmentation	segmentation	NOUN
cana-3361	27	2	can	can	AUX
cana-3361	27	3	be	be	AUX
cana-3361	27	4	treated	treat	VERB
cana-3361	27	5	as	as	ADP
cana-3361	27	6	an	an	DET
cana-3361	27	7	optimal	optimal	ADJ
cana-3361	27	8	research	research	NOUN
cana-3361	27	9	problem	problem	NOUN
cana-3361	27	10	;	;	PUNCT
cana-3361	27	11	an	an	DET
cana-3361	27	12	evolutionary	evolutionary	ADJ
cana-3361	27	13	algorithm	algorithm	NOUN
cana-3361	27	14	can	can	AUX
cana-3361	27	15	be	be	AUX
cana-3361	27	16	used	use	VERB
cana-3361	27	17	to	to	PART
cana-3361	27	18	solve	solve	VERB
cana-3361	27	19	this	this	DET
cana-3361	27	20	problem	problem	NOUN
cana-3361	27	21	known	know	VERB
cana-3361	27	22	as	as	ADP
cana-3361	27	23	genetic	genetic	ADJ
cana-3361	27	24	algorithm	algorithm	NOUN
cana-3361	27	25	(	(	PUNCT
cana-3361	27	26	ga	ga	PROPN
cana-3361	27	27	)	)	PUNCT
cana-3361	27	28	.	.	PUNCT
cana-3361	28	1	the	the	DET
cana-3361	28	2	primary	primary	ADJ
cana-3361	28	3	goal	goal	NOUN
cana-3361	28	4	is	be	AUX
cana-3361	28	5	to	to	PART
cana-3361	28	6	extract	extract	VERB
cana-3361	28	7	high	high	ADJ
cana-3361	28	8	-	-	PUNCT
cana-3361	28	9	quality	quality	NOUN
cana-3361	28	10	segmented	segment	VERB
cana-3361	28	11	objects	object	NOUN
cana-3361	28	12	from	from	ADP
cana-3361	28	13	color	color	NOUN
cana-3361	28	14	images	image	NOUN
cana-3361	28	15	and	and	CCONJ
cana-3361	28	16	enhance	enhance	VERB
cana-3361	28	17	performance	performance	NOUN
cana-3361	28	18	to	to	PART
cana-3361	28	19	extract	extract	VERB
cana-3361	28	20	the	the	DET
cana-3361	28	21	optimal	optimal	ADJ
cana-3361	28	22	segmented	segment	VERB
cana-3361	28	23	image	image	NOUN
cana-3361	28	24	with	with	ADP
cana-3361	28	25	few	few	ADJ
cana-3361	28	26	number	number	NOUN
cana-3361	28	27	of	of	ADP
cana-3361	28	28	iterations	iteration	NOUN
cana-3361	28	29	.	.	PUNCT
cana-3361	29	1	1.1genetic	1.1genetic	ADJ
cana-3361	29	2	algorithm	algorithm	NOUN
cana-3361	29	3	ga	ga	PROPN
cana-3361	29	4	operates	operate	VERB
cana-3361	29	5	on	on	ADP
cana-3361	29	6	the	the	DET
cana-3361	29	7	population	population	NOUN
cana-3361	29	8	search	search	NOUN
cana-3361	29	9	space	space	NOUN
cana-3361	29	10	.	.	PUNCT
cana-3361	30	1	every	every	DET
cana-3361	30	2	component	component	NOUN
cana-3361	30	3	of	of	ADP
cana-3361	30	4	the	the	DET
cana-3361	30	5	population	population	NOUN
cana-3361	30	6	is	be	AUX
cana-3361	30	7	referred	refer	VERB
cana-3361	30	8	to	to	ADP
cana-3361	30	9	as	as	ADP
cana-3361	30	10	a	a	DET
cana-3361	30	11	chromosome	chromosome	NOUN
cana-3361	30	12	.	.	PUNCT
cana-3361	31	1	ga	ga	PROPN
cana-3361	31	2	starts	start	VERB
cana-3361	31	3	by	by	ADP
cana-3361	31	4	selecting	select	VERB
cana-3361	31	5	a	a	DET
cana-3361	31	6	set	set	NOUN
cana-3361	31	7	of	of	ADP
cana-3361	31	8	workable	workable	ADJ
cana-3361	31	9	solutions	solution	NOUN
cana-3361	31	10	at	at	ADP
cana-3361	31	11	random	random	ADJ
cana-3361	31	12	from	from	ADP
cana-3361	31	13	the	the	DET
cana-3361	31	14	population	population	NOUN
cana-3361	31	15	.	.	PUNCT
cana-3361	32	1	every	every	DET
cana-3361	32	2	chromosome	chromosome	NOUN
cana-3361	32	3	is	be	AUX
cana-3361	32	4	a	a	DET
cana-3361	32	5	standalone	standalone	ADJ
cana-3361	32	6	solution	solution	NOUN
cana-3361	32	7	.	.	PUNCT
cana-3361	33	1	the	the	DET
cana-3361	33	2	fitness	fitness	NOUN
cana-3361	33	3	of	of	ADP
cana-3361	33	4	every	every	DET
cana-3361	33	5	chromosome	chromosome	NOUN
cana-3361	33	6	is	be	AUX
cana-3361	33	7	assessed	assess	VERB
cana-3361	33	8	,	,	PUNCT
cana-3361	33	9	and	and	CCONJ
cana-3361	33	10	this	this	DET
cana-3361	33	11	fitness	fitness	NOUN
cana-3361	33	12	determines	determine	VERB
cana-3361	33	13	the	the	DET
cana-3361	33	14	solution	solution	NOUN
cana-3361	33	15	's	's	PART
cana-3361	33	16	quality	quality	NOUN
cana-3361	33	17	.	.	PUNCT
cana-3361	34	1	ga	ga	PROPN
cana-3361	34	2	employs	employ	VERB
cana-3361	34	3	an	an	DET
cana-3361	34	4	adaptive	adaptive	ADJ
cana-3361	34	5	heuristic	heuristic	ADJ
cana-3361	34	6	search	search	NOUN
cana-3361	34	7	strategy	strategy	NOUN
cana-3361	34	8	to	to	PART
cana-3361	34	9	identify	identify	VERB
cana-3361	34	10	the	the	DET
cana-3361	34	11	population	population	NOUN
cana-3361	34	12	's	's	PART
cana-3361	34	13	optimal	optimal	ADJ
cana-3361	34	14	set	set	NOUN
cana-3361	34	15	of	of	ADP
cana-3361	34	16	solutions	solution	NOUN
cana-3361	34	17	.	.	PUNCT
cana-3361	35	1	the	the	DET
cana-3361	35	2	chromosomes	chromosome	NOUN
cana-3361	35	3	are	be	AUX
cana-3361	35	4	used	use	VERB
cana-3361	35	5	by	by	ADP
cana-3361	35	6	operators	operator	NOUN
cana-3361	35	7	like	like	ADP
cana-3361	35	8	selection	selection	NOUN
cana-3361	35	9	,	,	PUNCT
cana-3361	35	10	crossover	crossover	NOUN
cana-3361	35	11	,	,	PUNCT
cana-3361	35	12	and	and	CCONJ
cana-3361	35	13	mutation	mutation	NOUN
cana-3361	35	14	to	to	PART
cana-3361	35	15	create	create	VERB
cana-3361	35	16	new	new	ADJ
cana-3361	35	17	offspring	offspring	NOUN
cana-3361	35	18	and	and	CCONJ
cana-3361	35	19	evolve	evolve	VERB
cana-3361	35	20	them	they	PRON
cana-3361	35	21	.	.	PUNCT
cana-3361	36	1	majority	majority	NOUN
cana-3361	36	2	fit	fit	ADJ
cana-3361	36	3	chromosomes	chromosome	NOUN
cana-3361	36	4	will	will	AUX
cana-3361	36	5	be	be	AUX
cana-3361	36	6	taken	take	VERB
cana-3361	36	7	to	to	ADP
cana-3361	36	8	next	next	ADJ
cana-3361	36	9	generation	generation	NOUN
cana-3361	36	10	.	.	PUNCT
cana-3361	37	1	less	less	ADJ
cana-3361	37	2	fit	fit	ADJ
cana-3361	37	3	candidates	candidate	NOUN
cana-3361	37	4	have	have	VERB
cana-3361	37	5	a	a	DET
cana-3361	37	6	lower	low	ADJ
cana-3361	37	7	chance	chance	NOUN
cana-3361	37	8	of	of	ADP
cana-3361	37	9	getting	get	VERB
cana-3361	37	10	into	into	ADP
cana-3361	37	11	the	the	DET
cana-3361	37	12	following	follow	VERB
cana-3361	37	13	generation	generation	NOUN
cana-3361	37	14	.	.	PUNCT
cana-3361	38	1	this	this	PRON
cana-3361	38	2	is	be	AUX
cana-3361	38	3	so	so	ADV
cana-3361	38	4	because	because	SCONJ
cana-3361	38	5	ga	ga	PROPN
cana-3361	38	6	is	be	AUX
cana-3361	38	7	predicated	predicate	VERB
cana-3361	38	8	on	on	ADP
cana-3361	38	9	the	the	DET
cana-3361	38	10	idea	idea	NOUN
cana-3361	38	11	that	that	SCONJ
cana-3361	38	12	"	"	PUNCT
cana-3361	38	13	survival	survival	NOUN
cana-3361	38	14	is	be	AUX
cana-3361	38	15	the	the	DET
cana-3361	38	16	best	good	ADJ
cana-3361	38	17	,	,	PUNCT
cana-3361	38	18	"	"	PUNCT
cana-3361	38	19	which	which	PRON
cana-3361	38	20	is	be	AUX
cana-3361	38	21	a	a	DET
cana-3361	38	22	tenet	tenet	NOUN
cana-3361	38	23	of	of	ADP
cana-3361	38	24	darwin	darwin	PROPN
cana-3361	38	25	's	's	PART
cana-3361	38	26	theory	theory	NOUN
cana-3361	38	27	of	of	ADP
cana-3361	38	28	evolution	evolution	NOUN
cana-3361	38	29	.	.	PUNCT
cana-3361	39	1	until	until	SCONJ
cana-3361	39	2	the	the	DET
cana-3361	39	3	chromosomes	chromosome	NOUN
cana-3361	39	4	find	find	VERB
cana-3361	39	5	the	the	DET
cana-3361	39	6	best	good	ADJ
cana-3361	39	7	suitable	suitable	ADJ
cana-3361	39	8	solution	solution	NOUN
cana-3361	39	9	to	to	ADP
cana-3361	39	10	the	the	DET
cana-3361	39	11	given	give	VERB
cana-3361	39	12	challenge	challenge	NOUN
cana-3361	39	13	,	,	PUNCT
cana-3361	39	14	this	this	DET
cana-3361	39	15	procedure	procedure	NOUN
cana-3361	39	16	is	be	AUX
cana-3361	39	17	repeated	repeat	VERB
cana-3361	39	18	.	.	PUNCT
cana-3361	40	1	in	in	ADP
cana-3361	40	2	summary	summary	NOUN
cana-3361	40	3	,	,	PUNCT
cana-3361	40	4	more	more	ADV
cana-3361	40	5	optimal	optimal	ADJ
cana-3361	40	6	solutions	solution	NOUN
cana-3361	40	7	are	be	AUX
cana-3361	40	8	found	find	VERB
cana-3361	40	9	by	by	ADP
cana-3361	40	10	repeating	repeat	VERB
cana-3361	40	11	the	the	DET
cana-3361	40	12	procedure	procedure	NOUN
cana-3361	40	13	multiple	multiple	ADJ
cana-3361	40	14	times	time	NOUN
cana-3361	40	15	,	,	PUNCT
cana-3361	40	16	as	as	SCONJ
cana-3361	40	17	the	the	DET
cana-3361	40	18	population	population	NOUN
cana-3361	40	19	's	's	PART
cana-3361	40	20	average	average	ADJ
cana-3361	40	21	fitness	fitness	NOUN
cana-3361	40	22	rises	rise	VERB
cana-3361	40	23	with	with	ADP
cana-3361	40	24	each	each	DET
cana-3361	40	25	iteration	iteration	NOUN
cana-3361	40	26	.	.	PUNCT
cana-3361	41	1	ga	ga	PROPN
cana-3361	41	2	has	have	AUX
cana-3361	41	3	been	be	AUX
cana-3361	41	4	extensively	extensively	ADV
cana-3361	41	5	researched	research	VERB
cana-3361	41	6	and	and	CCONJ
cana-3361	41	7	tested	test	VERB
cana-3361	41	8	in	in	ADP
cana-3361	41	9	a	a	DET
cana-3361	41	10	variety	variety	NOUN
cana-3361	41	11	of	of	ADP
cana-3361	41	12	engineering	engineering	NOUN
cana-3361	41	13	domains	domain	NOUN
cana-3361	41	14	.	.	PUNCT
cana-3361	42	1	ga	ga	PROPN
cana-3361	42	2	offers	offer	VERB
cana-3361	42	3	substitute	substitute	NOUN
cana-3361	42	4	techniques	technique	NOUN
cana-3361	42	5	for	for	ADP
cana-3361	42	6	issues	issue	NOUN
cana-3361	42	7	that	that	PRON
cana-3361	42	8	are	be	AUX
cana-3361	42	9	challenging	challenge	VERB
cana-3361	42	10	to	to	PART
cana-3361	42	11	resolve	resolve	VERB
cana-3361	42	12	using	use	VERB
cana-3361	42	13	conventional	conventional	ADJ
cana-3361	42	14	techniques	technique	NOUN
cana-3361	42	15	.	.	PUNCT
cana-3361	43	1	the	the	DET
cana-3361	43	2	two	two	NUM
cana-3361	43	3	main	main	ADJ
cana-3361	43	4	reasons	reason	NOUN
cana-3361	43	5	to	to	PART
cana-3361	43	6	use	use	VERB
cana-3361	43	7	ga	ga	PROPN
cana-3361	43	8	in	in	ADP
cana-3361	43	9	image	image	NOUN
cana-3361	43	10	segmentation	segmentation	NOUN
cana-3361	43	11	techniques	technique	NOUN
cana-3361	43	12	are	be	AUX
cana-3361	43	13	,	,	PUNCT
cana-3361	43	14	parameter	parameter	NOUN
cana-3361	43	15	selection	selection	NOUN
cana-3361	43	16	,	,	PUNCT
cana-3361	43	17	where	where	SCONJ
cana-3361	43	18	the	the	DET
cana-3361	43	19	parameters	parameter	NOUN
cana-3361	43	20	required	require	VERB
cana-3361	43	21	in	in	ADP
cana-3361	43	22	image	image	NOUN
cana-3361	43	23	segregation	segregation	NOUN
cana-3361	43	24	techniques	technique	NOUN
cana-3361	43	25	are	be	AUX
cana-3361	43	26	selected	select	VERB
cana-3361	43	27	with	with	ADP
cana-3361	43	28	optimised	optimise	VERB
cana-3361	43	29	values	value	NOUN
cana-3361	43	30	using	use	VERB
cana-3361	43	31	genetic	genetic	ADJ
cana-3361	43	32	algorithms	algorithm	NOUN
cana-3361	43	33	to	to	PART
cana-3361	43	34	enhance	enhance	VERB
cana-3361	43	35	its	its	PRON
cana-3361	43	36	output	output	NOUN
cana-3361	43	37	.	.	PUNCT
cana-3361	44	1	segmentation	segmentation	NOUN
cana-3361	44	2	at	at	ADP
cana-3361	44	3	the	the	DET
cana-3361	44	4	pixel	pixel	PROPN
cana-3361	44	5	level	level	NOUN
cana-3361	44	6	,	,	PUNCT
cana-3361	44	7	where	where	SCONJ
cana-3361	44	8	region	region	NOUN
cana-3361	44	9	labelling	labelling	NOUN
cana-3361	44	10	is	be	AUX
cana-3361	44	11	accomplished	accomplish	VERB
cana-3361	44	12	by	by	ADP
cana-3361	44	13	genetic	genetic	ADJ
cana-3361	44	14	algorithms	algorithm	NOUN
cana-3361	44	15	.	.	PUNCT
cana-3361	45	1	the	the	DET
cana-3361	45	2	details	detail	NOUN
cana-3361	45	3	of	of	ADP
cana-3361	45	4	how	how	SCONJ
cana-3361	45	5	it	it	PRON
cana-3361	45	6	has	have	AUX
cana-3361	45	7	been	be	AUX
cana-3361	45	8	used	use	VERB
cana-3361	45	9	in	in	ADP
cana-3361	45	10	segmenting	segment	VERB
cana-3361	45	11	object	object	NOUN
cana-3361	45	12	from	from	ADP
cana-3361	45	13	image	image	NOUN
cana-3361	45	14	are	be	AUX
cana-3361	45	15	given	give	VERB
cana-3361	45	16	in	in	ADP
cana-3361	45	17	ensuing	ensue	VERB
cana-3361	45	18	section	section	NOUN
cana-3361	45	19	.	.	PUNCT
cana-3361	46	1	1.2	1.2	NUM
cana-3361	46	2	an	an	DET
cana-3361	46	3	overview	overview	NOUN
cana-3361	46	4	of	of	ADP
cana-3361	46	5	the	the	DET
cana-3361	46	6	work	work	NOUN
cana-3361	46	7	here	here	ADV
cana-3361	46	8	,	,	PUNCT
cana-3361	46	9	the	the	DET
cana-3361	46	10	input	input	NOUN
cana-3361	46	11	for	for	ADP
cana-3361	46	12	k	k	NOUN
cana-3361	46	13	-	-	PUNCT
cana-3361	46	14	means	means	NOUN
cana-3361	46	15	clustering	clustering	NOUN
cana-3361	46	16	has	have	AUX
cana-3361	46	17	been	be	AUX
cana-3361	46	18	a	a	DET
cana-3361	46	19	color	color	NOUN
cana-3361	46	20	image	image	NOUN
cana-3361	46	21	with	with	ADP
cana-3361	46	22	dimensions	dimension	NOUN
cana-3361	46	23	of	of	ADP
cana-3361	46	24	mxn	mxn	PROPN
cana-3361	46	25	,	,	PUNCT
cana-3361	46	26	where	where	SCONJ
cana-3361	46	27	each	each	DET
cana-3361	46	28	pixel	pixel	NOUN
cana-3361	46	29	comprises	comprise	NOUN
cana-3361	46	30	of	of	ADP
cana-3361	46	31	components	component	NOUN
cana-3361	46	32	red	red	ADJ
cana-3361	46	33	,	,	PUNCT
cana-3361	46	34	green	green	ADJ
cana-3361	46	35	,	,	PUNCT
cana-3361	46	36	and	and	CCONJ
cana-3361	46	37	blue	blue	ADJ
cana-3361	46	38	,	,	PUNCT
cana-3361	46	39	by	by	ADP
cana-3361	46	40	which	which	PRON
cana-3361	46	41	we	we	PRON
cana-3361	46	42	get	get	AUX
cana-3361	46	43	segmented	segment	VERB
cana-3361	46	44	rgb	rgb	PROPN
cana-3361	46	45	colour	colour	NOUN
cana-3361	46	46	components	component	NOUN
cana-3361	46	47	.	.	PUNCT
cana-3361	47	1	for	for	ADP
cana-3361	47	2	optimization	optimization	NOUN
cana-3361	47	3	a	a	DET
cana-3361	47	4	genetic	genetic	ADJ
cana-3361	47	5	algorithm	algorithm	NOUN
cana-3361	47	6	is	be	AUX
cana-3361	47	7	applied	apply	VERB
cana-3361	47	8	on	on	ADP
cana-3361	47	9	the	the	DET
cana-3361	47	10	clustering	cluster	VERB
cana-3361	47	11	output	output	NOUN
cana-3361	47	12	in	in	ADP
cana-3361	47	13	which	which	PRON
cana-3361	47	14	segmentation	segmentation	NOUN
cana-3361	47	15	is	be	AUX
cana-3361	47	16	improved	improve	VERB
cana-3361	47	17	through	through	ADP
cana-3361	47	18	different	different	ADJ
cana-3361	47	19	steps	step	NOUN
cana-3361	47	20	of	of	ADP
cana-3361	47	21	ga	ga	PROPN
cana-3361	47	22	.	.	PUNCT
cana-3361	48	1	the	the	DET
cana-3361	48	2	difference	difference	NOUN
cana-3361	48	3	between	between	ADP
cana-3361	48	4	k	k	NOUN
cana-3361	48	5	-	-	PUNCT
cana-3361	48	6	means	mean	VERB
cana-3361	48	7	output	output	NOUN
cana-3361	48	8	and	and	CCONJ
cana-3361	48	9	randomly	randomly	ADV
cana-3361	48	10	generated	generate	VERB
cana-3361	48	11	output	output	NOUN
cana-3361	48	12	is	be	AUX
cana-3361	48	13	used	use	VERB
cana-3361	48	14	as	as	ADP
cana-3361	48	15	a	a	DET
cana-3361	48	16	fitness	fitness	NOUN
cana-3361	48	17	whose	whose	DET
cana-3361	48	18	minimum	minimum	NOUN
cana-3361	48	19	value	value	NOUN
cana-3361	48	20	is	be	AUX
cana-3361	48	21	the	the	DET
cana-3361	48	22	best	good	ADJ
cana-3361	48	23	fitness	fitness	NOUN
cana-3361	48	24	.	.	PUNCT
cana-3361	49	1	images	image	NOUN
cana-3361	49	2	with	with	ADP
cana-3361	49	3	multiple	multiple	ADJ
cana-3361	49	4	objects	object	NOUN
cana-3361	49	5	and	and	CCONJ
cana-3361	49	6	complex	complex	ADJ
cana-3361	49	7	background	background	NOUN
cana-3361	49	8	are	be	AUX
cana-3361	49	9	also	also	ADV
cana-3361	49	10	considered	consider	VERB
cana-3361	49	11	in	in	ADP
cana-3361	49	12	this	this	DET
cana-3361	49	13	work	work	NOUN
cana-3361	49	14	.	.	PUNCT
cana-3361	50	1	the	the	DET
cana-3361	50	2	innovative	innovative	ADJ
cana-3361	50	3	aspect	aspect	NOUN
cana-3361	50	4	of	of	ADP
cana-3361	50	5	the	the	DET
cana-3361	50	6	suggested	suggest	VERB
cana-3361	50	7	method	method	NOUN
cana-3361	50	8	is	be	AUX
cana-3361	50	9	that	that	SCONJ
cana-3361	50	10	the	the	DET
cana-3361	50	11	chromosomal	chromosomal	ADJ
cana-3361	50	12	length	length	NOUN
cana-3361	50	13	varies	vary	VERB
cana-3361	50	14	according	accord	VERB
cana-3361	50	15	to	to	ADP
cana-3361	50	16	the	the	DET
cana-3361	50	17	estimated	estimate	VERB
cana-3361	50	18	value	value	NOUN
cana-3361	50	19	of	of	ADP
cana-3361	50	20	k	k	NOUN
cana-3361	50	21	,	,	PUNCT
cana-3361	50	22	or	or	CCONJ
cana-3361	50	23	the	the	DET
cana-3361	50	24	number	number	NOUN
cana-3361	50	25	of	of	ADP
cana-3361	50	26	clusters	cluster	NOUN
cana-3361	50	27	.	.	PUNCT
cana-3361	51	1	this	this	PRON
cana-3361	51	2	provides	provide	VERB
cana-3361	51	3	us	we	PRON
cana-3361	51	4	with	with	ADP
cana-3361	51	5	the	the	DET
cana-3361	51	6	optimal	optimal	ADJ
cana-3361	51	7	cluster	cluster	NOUN
cana-3361	51	8	centres	centre	NOUN
cana-3361	51	9	for	for	ADP
cana-3361	51	10	accurate	accurate	ADJ
cana-3361	51	11	segmentation	segmentation	NOUN
cana-3361	51	12	.	.	PUNCT
cana-3361	52	1	communications	communication	NOUN
cana-3361	52	2	on	on	ADP
cana-3361	52	3	applied	apply	VERB
cana-3361	52	4	nonlinear	nonlinear	ADJ
cana-3361	52	5	analysis	analysis	NOUN
cana-3361	52	6	issn	issn	NOUN
cana-3361	52	7	:	:	PUNCT
cana-3361	52	8	1074	1074	NUM
cana-3361	52	9	-	-	PUNCT
cana-3361	52	10	133x	133x	NUM
cana-3361	52	11	vol	vol	NOUN
cana-3361	52	12	32	32	NUM
cana-3361	52	13	no	no	NOUN
cana-3361	52	14	.	.	PUNCT
cana-3361	53	1	7s	7	NOUN
cana-3361	53	2	(	(	PUNCT
cana-3361	53	3	2025	2025	NUM
cana-3361	53	4	)	)	PUNCT
cana-3361	53	5	48	48	NUM
cana-3361	53	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-3361	53	7	1.3	1.3	NUM
cana-3361	53	8	literature	literature	NOUN
cana-3361	53	9	survey	survey	NOUN
cana-3361	53	10	few	few	ADJ
cana-3361	53	11	of	of	ADP
cana-3361	53	12	contemporary	contemporary	ADJ
cana-3361	53	13	mechanisms	mechanism	NOUN
cana-3361	53	14	for	for	ADP
cana-3361	53	15	segmentation	segmentation	NOUN
cana-3361	53	16	of	of	ADP
cana-3361	53	17	colour	colour	NOUN
cana-3361	53	18	images	image	NOUN
cana-3361	53	19	found	find	VERB
cana-3361	53	20	in	in	ADP
cana-3361	53	21	related	related	ADJ
cana-3361	53	22	literature	literature	NOUN
cana-3361	53	23	is	be	AUX
cana-3361	53	24	presented	present	VERB
cana-3361	53	25	in	in	ADP
cana-3361	53	26	this	this	DET
cana-3361	53	27	section	section	NOUN
cana-3361	53	28	.	.	PUNCT
cana-3361	54	1	[	[	X
cana-3361	54	2	1	1	X
cana-3361	54	3	]	]	PUNCT
cana-3361	54	4	in	in	ADP
cana-3361	54	5	this	this	DET
cana-3361	54	6	study	study	NOUN
cana-3361	54	7	,	,	PUNCT
cana-3361	54	8	they	they	PRON
cana-3361	54	9	conduct	conduct	VERB
cana-3361	54	10	a	a	DET
cana-3361	54	11	thorough	thorough	ADJ
cana-3361	54	12	review	review	NOUN
cana-3361	54	13	of	of	ADP
cana-3361	54	14	the	the	DET
cana-3361	54	15	progress	progress	NOUN
cana-3361	54	16	made	make	VERB
cana-3361	54	17	in	in	ADP
cana-3361	54	18	image	image	NOUN
cana-3361	54	19	segmentation	segmentation	NOUN
cana-3361	54	20	techniques	technique	NOUN
cana-3361	54	21	.	.	PUNCT
cana-3361	55	1	three	three	NUM
cana-3361	55	2	key	key	ADJ
cana-3361	55	3	phases	phase	NOUN
cana-3361	55	4	of	of	ADP
cana-3361	55	5	image	image	NOUN
cana-3361	55	6	segmentation	segmentation	NOUN
cana-3361	55	7	—	—	PUNCT
cana-3361	55	8	classic	classic	ADJ
cana-3361	55	9	segmentation	segmentation	NOUN
cana-3361	55	10	,	,	PUNCT
cana-3361	55	11	collaborative	collaborative	ADJ
cana-3361	55	12	segmentation	segmentation	NOUN
cana-3361	55	13	,	,	PUNCT
cana-3361	55	14	and	and	CCONJ
cana-3361	55	15	semantic	semantic	ADJ
cana-3361	55	16	segmentation	segmentation	NOUN
cana-3361	55	17	based	base	VERB
cana-3361	55	18	on	on	ADP
cana-3361	55	19	deep	deep	ADJ
cana-3361	55	20	learning	learning	NOUN
cana-3361	55	21	—	—	PUNCT
cana-3361	55	22	are	be	AUX
cana-3361	55	23	mostly	mostly	ADV
cana-3361	55	24	examined	examine	VERB
cana-3361	55	25	in	in	ADP
cana-3361	55	26	accordance	accordance	NOUN
cana-3361	55	27	with	with	ADP
cana-3361	55	28	the	the	DET
cana-3361	55	29	segmentation	segmentation	NOUN
cana-3361	55	30	principles	principle	NOUN
cana-3361	55	31	and	and	CCONJ
cana-3361	55	32	features	feature	NOUN
cana-3361	55	33	of	of	ADP
cana-3361	55	34	the	the	DET
cana-3361	55	35	picture	picture	NOUN
cana-3361	55	36	data	datum	NOUN
cana-3361	55	37	.	.	PUNCT
cana-3361	56	1	they	they	PRON
cana-3361	56	2	go	go	VERB
cana-3361	56	3	into	into	ADP
cana-3361	56	4	detail	detail	NOUN
cana-3361	56	5	about	about	ADP
cana-3361	56	6	the	the	DET
cana-3361	56	7	primary	primary	ADJ
cana-3361	56	8	algorithms	algorithm	NOUN
cana-3361	56	9	and	and	CCONJ
cana-3361	56	10	critical	critical	ADJ
cana-3361	56	11	approaches	approach	NOUN
cana-3361	56	12	in	in	ADP
cana-3361	56	13	each	each	DET
cana-3361	56	14	step	step	NOUN
cana-3361	56	15	,	,	PUNCT
cana-3361	56	16	evaluate	evaluate	VERB
cana-3361	56	17	and	and	CCONJ
cana-3361	56	18	condense	condense	VERB
cana-3361	56	19	the	the	DET
cana-3361	56	20	benefits	benefit	NOUN
cana-3361	56	21	and	and	CCONJ
cana-3361	56	22	drawbacks	drawback	NOUN
cana-3361	56	23	of	of	ADP
cana-3361	56	24	several	several	ADJ
cana-3361	56	25	segmentation	segmentation	NOUN
cana-3361	56	26	models	model	NOUN
cana-3361	56	27	.	.	PUNCT
cana-3361	57	1	a	a	DET
cana-3361	57	2	comprehensive	comprehensive	ADJ
cana-3361	57	3	analysis	analysis	NOUN
cana-3361	57	4	of	of	ADP
cana-3361	57	5	the	the	DET
cana-3361	57	6	literature	literature	NOUN
cana-3361	57	7	covering	cover	VERB
cana-3361	57	8	a	a	DET
cana-3361	57	9	wide	wide	ADJ
cana-3361	57	10	range	range	NOUN
cana-3361	57	11	of	of	ADP
cana-3361	57	12	works	work	NOUN
cana-3361	57	13	for	for	ADP
cana-3361	57	14	semantic	semantic	ADJ
cana-3361	57	15	and	and	CCONJ
cana-3361	57	16	instancelevel	instancelevel	ADJ
cana-3361	57	17	segmentation	segmentation	NOUN
cana-3361	57	18	,	,	PUNCT
cana-3361	57	19	including	include	VERB
cana-3361	57	20	fully	fully	ADV
cana-3361	57	21	convolution	convolution	ADJ
cana-3361	57	22	pixel	pixel	ADJ
cana-3361	57	23	-	-	PUNCT
cana-3361	57	24	labeling	labeling	NOUN
cana-3361	57	25	networks	network	NOUN
cana-3361	57	26	,	,	PUNCT
cana-3361	57	27	encoder	encoder	NOUN
cana-3361	57	28	-	-	PUNCT
cana-3361	57	29	decoder	decoder	NOUN
cana-3361	57	30	architectures	architecture	NOUN
cana-3361	57	31	,	,	PUNCT
cana-3361	57	32	multi	multi	ADJ
cana-3361	57	33	-	-	ADJ
cana-3361	57	34	scale	scale	NOUN
cana-3361	57	35	and	and	CCONJ
cana-3361	57	36	pyramid	pyramid	NOUN
cana-3361	57	37	based	base	VERB
cana-3361	57	38	approaches	approach	NOUN
cana-3361	57	39	,	,	PUNCT
cana-3361	57	40	recurrent	recurrent	ADJ
cana-3361	57	41	networks	network	NOUN
cana-3361	57	42	,	,	PUNCT
cana-3361	57	43	visual	visual	ADJ
cana-3361	57	44	attention	attention	NOUN
cana-3361	57	45	models	model	NOUN
cana-3361	57	46	,	,	PUNCT
cana-3361	57	47	and	and	CCONJ
cana-3361	57	48	generative	generative	ADJ
cana-3361	57	49	models	model	NOUN
cana-3361	57	50	in	in	ADP
cana-3361	57	51	adversarial	adversarial	ADJ
cana-3361	57	52	settings	setting	NOUN
cana-3361	57	53	,	,	PUNCT
cana-3361	57	54	is	be	AUX
cana-3361	57	55	provided	provide	VERB
cana-3361	57	56	in	in	ADP
cana-3361	57	57	the	the	DET
cana-3361	57	58	surveys	survey	NOUN
cana-3361	57	59	[	[	X
cana-3361	57	60	3	3	NUM
cana-3361	57	61	]	]	PUNCT
cana-3361	57	62	,	,	PUNCT
cana-3361	57	63	[	[	X
cana-3361	57	64	4	4	NUM
cana-3361	57	65	]	]	PUNCT
cana-3361	57	66	,	,	PUNCT
cana-3361	58	1	[	[	X
cana-3361	58	2	5	5	NUM
cana-3361	58	3	]	]	PUNCT
cana-3361	58	4	,	,	PUNCT
cana-3361	58	5	[	[	X
cana-3361	58	6	6	6	NUM
cana-3361	58	7	]	]	PUNCT
cana-3361	58	8	,	,	PUNCT
cana-3361	58	9	[	[	X
cana-3361	58	10	7	7	NUM
cana-3361	58	11	]	]	PUNCT
cana-3361	58	12	,	,	PUNCT
cana-3361	58	13	and	and	CCONJ
cana-3361	58	14	[	[	X
cana-3361	58	15	8	8	NUM
cana-3361	58	16	]	]	PUNCT
cana-3361	58	17	.	.	PUNCT
cana-3361	59	1	also	also	ADV
cana-3361	59	2	,	,	PUNCT
cana-3361	59	3	some	some	DET
cana-3361	59	4	modern	modern	ADJ
cana-3361	59	5	dnn	dnn	PROPN
cana-3361	59	6	-	-	PUNCT
cana-3361	59	7	based	base	VERB
cana-3361	59	8	approaches	approach	NOUN
cana-3361	59	9	,	,	PUNCT
cana-3361	59	10	such	such	ADJ
cana-3361	59	11	as	as	ADP
cana-3361	59	12	completely	completely	ADV
cana-3361	59	13	convolutional	convolutional	ADJ
cana-3361	59	14	network	network	NOUN
cana-3361	59	15	,	,	PUNCT
cana-3361	59	16	upsample	upsample	PROPN
cana-3361	59	17	techniques	technique	NOUN
cana-3361	59	18	,	,	PUNCT
cana-3361	59	19	fcn	fcn	NOUN
cana-3361	59	20	in	in	ADP
cana-3361	59	21	conjunction	conjunction	NOUN
cana-3361	59	22	with	with	ADP
cana-3361	59	23	crf	crf	NOUN
cana-3361	59	24	methodologies	methodology	NOUN
cana-3361	59	25	,	,	PUNCT
cana-3361	59	26	dilated	dilate	VERB
cana-3361	59	27	convolution	convolution	NOUN
cana-3361	59	28	techniques	technique	NOUN
cana-3361	59	29	,	,	PUNCT
cana-3361	59	30	advancements	advancement	NOUN
cana-3361	59	31	in	in	ADP
cana-3361	59	32	backbone	backbone	NOUN
cana-3361	59	33	networks	network	NOUN
cana-3361	59	34	,	,	PUNCT
cana-3361	59	35	pyramid	pyramid	NOUN
cana-3361	59	36	techniques	technique	NOUN
cana-3361	59	37	,	,	PUNCT
cana-3361	59	38	supervised	supervise	VERB
cana-3361	59	39	,	,	PUNCT
cana-3361	59	40	poorly	poorly	ADV
cana-3361	59	41	supervised	supervised	ADJ
cana-3361	59	42	,	,	PUNCT
cana-3361	59	43	unsupervised	unsupervised	ADJ
cana-3361	59	44	,	,	PUNCT
cana-3361	59	45	multi	multi	ADJ
cana-3361	59	46	-	-	ADJ
cana-3361	59	47	level	level	ADJ
cana-3361	59	48	features	feature	NOUN
cana-3361	59	49	,	,	PUNCT
cana-3361	59	50	and	and	CCONJ
cana-3361	59	51	multi	multi	ADJ
cana-3361	59	52	-	-	ADJ
cana-3361	59	53	stage	stage	ADJ
cana-3361	59	54	approaches	approach	NOUN
cana-3361	59	55	are	be	AUX
cana-3361	59	56	discussed	discuss	VERB
cana-3361	59	57	in	in	ADP
cana-3361	59	58	these	these	DET
cana-3361	59	59	articles	article	NOUN
cana-3361	59	60	.	.	PUNCT
cana-3361	60	1	they	they	PRON
cana-3361	60	2	also	also	ADV
cana-3361	60	3	look	look	VERB
cana-3361	60	4	at	at	ADP
cana-3361	60	5	the	the	DET
cana-3361	60	6	most	most	ADV
cana-3361	60	7	popular	popular	ADJ
cana-3361	60	8	datasets	dataset	NOUN
cana-3361	60	9	such	such	ADJ
cana-3361	60	10	pascal	pascal	ADJ
cana-3361	60	11	voc	voc	NOUN
cana-3361	60	12	,	,	PUNCT
cana-3361	60	13	ms	ms	PROPN
cana-3361	60	14	coco	coco	PROPN
cana-3361	60	15	,	,	PUNCT
cana-3361	60	16	cityscapes	cityscape	NOUN
cana-3361	60	17	,	,	PUNCT
cana-3361	60	18	and	and	CCONJ
cana-3361	60	19	ade20k	ade20k	NOUN
cana-3361	60	20	,	,	PUNCT
cana-3361	60	21	to	to	PART
cana-3361	60	22	report	report	VERB
cana-3361	60	23	performances	performance	NOUN
cana-3361	60	24	,	,	PUNCT
cana-3361	60	25	and	and	CCONJ
cana-3361	60	26	discuss	discuss	VERB
cana-3361	60	27	promising	promise	VERB
cana-3361	60	28	future	future	ADJ
cana-3361	60	29	directions	direction	NOUN
cana-3361	60	30	for	for	ADP
cana-3361	60	31	this	this	DET
cana-3361	60	32	field	field	NOUN
cana-3361	60	33	of	of	ADP
cana-3361	60	34	study	study	NOUN
cana-3361	60	35	.	.	PUNCT
cana-3361	61	1	each	each	DET
cana-3361	61	2	method	method	NOUN
cana-3361	61	3	showed	show	VERB
cana-3361	61	4	performance	performance	NOUN
cana-3361	61	5	according	accord	VERB
cana-3361	61	6	to	to	ADP
cana-3361	61	7	its	its	PRON
cana-3361	61	8	design	design	NOUN
cana-3361	61	9	,	,	PUNCT
cana-3361	61	10	and	and	CCONJ
cana-3361	61	11	they	they	PRON
cana-3361	61	12	conducted	conduct	VERB
cana-3361	61	13	both	both	CCONJ
cana-3361	61	14	qualitative	qualitative	ADJ
cana-3361	61	15	and	and	CCONJ
cana-3361	61	16	quantitative	quantitative	ADJ
cana-3361	61	17	comparisons	comparison	NOUN
cana-3361	61	18	of	of	ADP
cana-3361	61	19	the	the	DET
cana-3361	61	20	key	key	ADJ
cana-3361	61	21	elements	element	NOUN
cana-3361	61	22	and	and	CCONJ
cana-3361	61	23	performances	performance	NOUN
cana-3361	61	24	of	of	ADP
cana-3361	61	25	the	the	DET
cana-3361	61	26	different	different	ADJ
cana-3361	61	27	ways	way	NOUN
cana-3361	61	28	.	.	PUNCT
cana-3361	62	1	ultimately	ultimately	ADV
cana-3361	62	2	,	,	PUNCT
cana-3361	62	3	all	all	DET
cana-3361	62	4	these	these	PRON
cana-3361	62	5	determined	determine	VERB
cana-3361	62	6	the	the	DET
cana-3361	62	7	main	main	ADJ
cana-3361	62	8	obstacles	obstacle	NOUN
cana-3361	62	9	that	that	PRON
cana-3361	62	10	different	different	ADJ
cana-3361	62	11	object	object	NOUN
cana-3361	62	12	segmentation	segmentation	NOUN
cana-3361	62	13	techniques	technique	NOUN
cana-3361	62	14	now	now	ADV
cana-3361	62	15	face	face	VERB
cana-3361	62	16	and	and	CCONJ
cana-3361	62	17	suggested	suggest	VERB
cana-3361	62	18	a	a	DET
cana-3361	62	19	number	number	NOUN
cana-3361	62	20	of	of	ADP
cana-3361	62	21	interesting	interesting	ADJ
cana-3361	62	22	future	future	ADJ
cana-3361	62	23	paths	path	NOUN
cana-3361	62	24	.	.	PUNCT
cana-3361	63	1	in	in	ADP
cana-3361	63	2	paper	paper	NOUN
cana-3361	63	3	[	[	X
cana-3361	63	4	2	2	X
cana-3361	63	5	]	]	PUNCT
cana-3361	63	6	they	they	PRON
cana-3361	63	7	mainly	mainly	ADV
cana-3361	63	8	focuses	focus	VERB
cana-3361	63	9	on	on	ADP
cana-3361	63	10	updating	update	VERB
cana-3361	63	11	the	the	DET
cana-3361	63	12	multi	multi	ADJ
cana-3361	63	13	-	-	ADJ
cana-3361	63	14	target	target	ADJ
cana-3361	63	15	recognition	recognition	NOUN
cana-3361	63	16	and	and	CCONJ
cana-3361	63	17	image	image	NOUN
cana-3361	63	18	segmentation	segmentation	NOUN
cana-3361	63	19	algorithm	algorithm	NOUN
cana-3361	63	20	using	use	VERB
cana-3361	63	21	the	the	DET
cana-3361	63	22	support	support	NOUN
cana-3361	63	23	vector	vector	NOUN
cana-3361	63	24	machine	machine	NOUN
cana-3361	63	25	algorithm	algorithm	NOUN
cana-3361	63	26	in	in	ADP
cana-3361	63	27	machine	machine	NOUN
cana-3361	63	28	learning	learning	NOUN
cana-3361	63	29	(	(	PUNCT
cana-3361	63	30	ml	ml	NOUN
cana-3361	63	31	)	)	PUNCT
cana-3361	63	32	.	.	PUNCT
cana-3361	64	1	experiments	experiment	NOUN
cana-3361	64	2	were	be	AUX
cana-3361	64	3	conducted	conduct	VERB
cana-3361	64	4	to	to	PART
cana-3361	64	5	compare	compare	VERB
cana-3361	64	6	the	the	DET
cana-3361	64	7	effectiveness	effectiveness	NOUN
cana-3361	64	8	of	of	ADP
cana-3361	64	9	the	the	DET
cana-3361	64	10	image	image	NOUN
cana-3361	64	11	segmentation	segmentation	NOUN
cana-3361	64	12	and	and	CCONJ
cana-3361	64	13	multiclass	multiclass	ADJ
cana-3361	64	14	object	object	NOUN
cana-3361	64	15	recognition	recognition	NOUN
cana-3361	64	16	algorithms	algorithm	NOUN
cana-3361	64	17	suggested	suggest	VERB
cana-3361	64	18	in	in	ADP
cana-3361	64	19	this	this	DET
cana-3361	64	20	study	study	NOUN
cana-3361	64	21	against	against	ADP
cana-3361	64	22	the	the	DET
cana-3361	64	23	traditional	traditional	ADJ
cana-3361	64	24	approaches	approach	NOUN
cana-3361	64	25	.	.	PUNCT
cana-3361	65	1	the	the	DET
cana-3361	65	2	findings	finding	NOUN
cana-3361	65	3	demonstrated	demonstrate	VERB
cana-3361	65	4	that	that	SCONJ
cana-3361	65	5	the	the	DET
cana-3361	65	6	multiclass	multiclass	ADJ
cana-3361	65	7	object	object	NOUN
cana-3361	65	8	identification	identification	NOUN
cana-3361	65	9	and	and	CCONJ
cana-3361	65	10	ml	ml	NOUN
cana-3361	65	11	-	-	PUNCT
cana-3361	65	12	based	base	VERB
cana-3361	65	13	picture	picture	NOUN
cana-3361	65	14	segmentation	segmentation	NOUN
cana-3361	65	15	methods	method	NOUN
cana-3361	65	16	suggested	suggest	VERB
cana-3361	65	17	in	in	ADP
cana-3361	65	18	this	this	DET
cana-3361	65	19	work	work	NOUN
cana-3361	65	20	had	have	AUX
cana-3361	65	21	improved	improve	VERB
cana-3361	65	22	by	by	ADP
cana-3361	65	23	an	an	DET
cana-3361	65	24	average	average	NOUN
cana-3361	65	25	of	of	ADP
cana-3361	65	26	29.1	29.1	NUM
cana-3361	65	27	%	%	NOUN
cana-3361	65	28	across	across	ADP
cana-3361	65	29	the	the	DET
cana-3361	65	30	board	board	NOUN
cana-3361	65	31	.	.	PUNCT
cana-3361	66	1	[	[	X
cana-3361	66	2	9	9	NUM
cana-3361	66	3	]	]	PUNCT
cana-3361	66	4	in	in	ADP
cana-3361	66	5	this	this	DET
cana-3361	66	6	work	work	NOUN
cana-3361	66	7	,	,	PUNCT
cana-3361	66	8	they	they	PRON
cana-3361	66	9	produced	produce	VERB
cana-3361	66	10	a	a	DET
cana-3361	66	11	segmentation	segmentation	NOUN
cana-3361	66	12	mask	mask	NOUN
cana-3361	66	13	for	for	ADP
cana-3361	66	14	a	a	DET
cana-3361	66	15	target	target	NOUN
cana-3361	66	16	object	object	NOUN
cana-3361	66	17	of	of	ADP
cana-3361	66	18	instructions	instruction	NOUN
cana-3361	66	19	for	for	ADP
cana-3361	66	20	domestic	domestic	ADJ
cana-3361	66	21	duties	duty	NOUN
cana-3361	66	22	,	,	PUNCT
cana-3361	66	23	with	with	ADP
cana-3361	66	24	a	a	DET
cana-3361	66	25	particular	particular	ADJ
cana-3361	66	26	focus	focus	NOUN
cana-3361	66	27	on	on	ADP
cana-3361	66	28	the	the	DET
cana-3361	66	29	osmi	osmi	NOUN
cana-3361	66	30	(	(	PUNCT
cana-3361	66	31	object	object	VERB
cana-3361	66	32	segmentation	segmentation	NOUN
cana-3361	66	33	from	from	ADP
cana-3361	66	34	manipulation	manipulation	NOUN
cana-3361	66	35	instructions	instruction	NOUN
cana-3361	66	36	)	)	PUNCT
cana-3361	66	37	task	task	NOUN
cana-3361	66	38	.	.	PUNCT
cana-3361	67	1	they	they	PRON
cana-3361	67	2	suggested	suggest	VERB
cana-3361	67	3	the	the	DET
cana-3361	67	4	two	two	NUM
cana-3361	67	5	-	-	PUNCT
cana-3361	67	6	stage	stage	NOUN
cana-3361	67	7	multimodal	multimodal	NOUN
cana-3361	67	8	diffusion	diffusion	NOUN
cana-3361	67	9	segmentation	segmentation	NOUN
cana-3361	67	10	model	model	NOUN
cana-3361	67	11	(	(	PUNCT
cana-3361	67	12	mdsm	mdsm	PROPN
cana-3361	67	13	)	)	PUNCT
cana-3361	67	14	.	.	PUNCT
cana-3361	68	1	using	use	VERB
cana-3361	68	2	clip	clip	PROPN
cana-3361	68	3	and	and	CCONJ
cana-3361	68	4	swin	swin	PROPN
cana-3361	68	5	transformer	transformer	PROPN
cana-3361	68	6	,	,	PUNCT
cana-3361	68	7	they	they	PRON
cana-3361	68	8	presented	present	VERB
cana-3361	68	9	a	a	DET
cana-3361	68	10	crossmodal	crossmodal	ADJ
cana-3361	68	11	parallel	parallel	ADJ
cana-3361	68	12	feature	feature	NOUN
cana-3361	68	13	extraction	extraction	NOUN
cana-3361	68	14	mechanism	mechanism	NOUN
cana-3361	68	15	.	.	PUNCT
cana-3361	69	1	on	on	ADP
cana-3361	69	2	the	the	DET
cana-3361	69	3	shimrie	shimrie	NOUN
cana-3361	69	4	dataset	dataset	NOUN
cana-3361	69	5	,	,	PUNCT
cana-3361	69	6	the	the	DET
cana-3361	69	7	mdsm	mdsm	NOUN
cana-3361	69	8	performed	perform	VERB
cana-3361	69	9	better	well	ADV
cana-3361	69	10	than	than	ADP
cana-3361	69	11	the	the	DET
cana-3361	69	12	baseline	baseline	NOUN
cana-3361	69	13	technique	technique	NOUN
cana-3361	69	14	.	.	PUNCT
cana-3361	70	1	[	[	X
cana-3361	70	2	10	10	NUM
cana-3361	70	3	]	]	PUNCT
cana-3361	70	4	research	research	NOUN
cana-3361	70	5	presents	present	VERB
cana-3361	70	6	a	a	DET
cana-3361	70	7	novel	novel	ADJ
cana-3361	70	8	sustainable	sustainable	ADJ
cana-3361	70	9	architecture	architecture	NOUN
cana-3361	70	10	for	for	ADP
cana-3361	70	11	object	object	NOUN
cana-3361	70	12	recognition	recognition	NOUN
cana-3361	70	13	in	in	ADP
cana-3361	70	14	intricate	intricate	ADJ
cana-3361	70	15	depth	depth	NOUN
cana-3361	70	16	environments	environment	NOUN
cana-3361	70	17	.	.	PUNCT
cana-3361	71	1	important	important	ADJ
cana-3361	71	2	results	result	NOUN
cana-3361	71	3	were	be	AUX
cana-3361	71	4	obtained	obtain	VERB
cana-3361	71	5	in	in	ADP
cana-3361	71	6	this	this	DET
cana-3361	71	7	work	work	NOUN
cana-3361	71	8	,	,	PUNCT
cana-3361	71	9	including	include	VERB
cana-3361	71	10	the	the	DET
cana-3361	71	11	robust	robust	ADJ
cana-3361	71	12	extraction	extraction	NOUN
cana-3361	71	13	of	of	ADP
cana-3361	71	14	depth	depth	NOUN
cana-3361	71	15	kernel	kernel	NOUN
cana-3361	71	16	descriptors	descriptor	NOUN
cana-3361	71	17	and	and	CCONJ
cana-3361	71	18	kernel	kernel	PROPN
cana-3361	71	19	sliding	slide	VERB
cana-3361	71	20	perceptron	perceptron	PROPN
cana-3361	71	21	for	for	ADP
cana-3361	71	22	object	object	NOUN
cana-3361	71	23	differentiation	differentiation	NOUN
cana-3361	71	24	and	and	CCONJ
cana-3361	71	25	the	the	DET
cana-3361	71	26	sustainable	sustainable	ADJ
cana-3361	71	27	segmentation	segmentation	NOUN
cana-3361	71	28	of	of	ADP
cana-3361	71	29	interior	interior	ADJ
cana-3361	71	30	scene	scene	NOUN
cana-3361	71	31	depth	depth	NOUN
cana-3361	71	32	items	item	NOUN
cana-3361	71	33	.	.	PUNCT
cana-3361	72	1	the	the	DET
cana-3361	72	2	recognition	recognition	NOUN
cana-3361	72	3	accuracies	accuracy	NOUN
cana-3361	72	4	over	over	ADP
cana-3361	72	5	rgb	rgb	PROPN
cana-3361	72	6	-	-	PROPN
cana-3361	72	7	d	d	PROPN
cana-3361	72	8	scenes	scene	NOUN
cana-3361	72	9	,	,	PUNCT
cana-3361	72	10	rgb	rgb	PROPN
cana-3361	72	11	-	-	PUNCT
cana-3361	72	12	d	d	PROPN
cana-3361	72	13	object	object	NOUN
cana-3361	72	14	samples	sample	NOUN
cana-3361	72	15	,	,	PUNCT
cana-3361	72	16	and	and	CCONJ
cana-3361	72	17	nyudv1	nyudv1	ADJ
cana-3361	72	18	datasets	dataset	NOUN
cana-3361	72	19	are	be	AUX
cana-3361	72	20	92.2	92.2	NUM
cana-3361	72	21	%	%	NOUN
cana-3361	72	22	,	,	PUNCT
cana-3361	72	23	88.5	88.5	NUM
cana-3361	72	24	%	%	NOUN
cana-3361	72	25	,	,	PUNCT
cana-3361	72	26	and	and	CCONJ
cana-3361	72	27	90.5	90.5	NUM
cana-3361	72	28	%	%	NOUN
cana-3361	72	29	,	,	PUNCT
cana-3361	72	30	respectively	respectively	ADV
cana-3361	72	31	.	.	PUNCT
cana-3361	73	1	communications	communication	NOUN
cana-3361	73	2	on	on	ADP
cana-3361	73	3	applied	apply	VERB
cana-3361	73	4	nonlinear	nonlinear	ADJ
cana-3361	73	5	analysis	analysis	NOUN
cana-3361	73	6	issn	issn	NOUN
cana-3361	73	7	:	:	PUNCT
cana-3361	73	8	1074	1074	NUM
cana-3361	73	9	-	-	PUNCT
cana-3361	73	10	133x	133x	NUM
cana-3361	73	11	vol	vol	NOUN
cana-3361	73	12	32	32	NUM
cana-3361	73	13	no	no	NOUN
cana-3361	73	14	.	.	PUNCT
cana-3361	74	1	7s	7	NOUN
cana-3361	74	2	(	(	PUNCT
cana-3361	74	3	2025	2025	NUM
cana-3361	74	4	)	)	PUNCT
cana-3361	74	5	49	49	NUM
cana-3361	74	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3361	75	1	[	[	X
cana-3361	75	2	11	11	NUM
cana-3361	75	3	]	]	PUNCT
cana-3361	75	4	this	this	DET
cana-3361	75	5	paper	paper	NOUN
cana-3361	75	6	presents	present	VERB
cana-3361	75	7	the	the	DET
cana-3361	75	8	architecture	architecture	NOUN
cana-3361	75	9	and	and	CCONJ
cana-3361	75	10	implementation	implementation	NOUN
cana-3361	75	11	of	of	ADP
cana-3361	75	12	a	a	DET
cana-3361	75	13	system	system	NOUN
cana-3361	75	14	that	that	PRON
cana-3361	75	15	estimates	estimate	VERB
cana-3361	75	16	a	a	DET
cana-3361	75	17	pointcloud	pointcloud	PROPN
cana-3361	75	18	-	-	PUNCT
cana-3361	75	19	based	base	VERB
cana-3361	75	20	scene	scene	NOUN
cana-3361	75	21	representation	representation	NOUN
cana-3361	75	22	,	,	PUNCT
cana-3361	75	23	enhanced	enhance	VERB
cana-3361	75	24	with	with	ADP
cana-3361	75	25	articulated	articulated	ADJ
cana-3361	75	26	object	object	NOUN
cana-3361	75	27	information	information	NOUN
cana-3361	75	28	,	,	PUNCT
cana-3361	75	29	from	from	ADP
cana-3361	75	30	a	a	DET
cana-3361	75	31	single	single	ADJ
cana-3361	75	32	rgbd	rgbd	NOUN
cana-3361	75	33	image	image	NOUN
cana-3361	75	34	.	.	PUNCT
cana-3361	76	1	it	it	PRON
cana-3361	76	2	analyzes	analyze	VERB
cana-3361	76	3	various	various	ADJ
cana-3361	76	4	neural	neural	ADJ
cana-3361	76	5	network	network	NOUN
cana-3361	76	6	topologies	topology	NOUN
cana-3361	76	7	to	to	PART
cana-3361	76	8	recognize	recognize	VERB
cana-3361	76	9	handles	handle	NOUN
cana-3361	76	10	,	,	PUNCT
cana-3361	76	11	the	the	DET
cana-3361	76	12	fronts	front	NOUN
cana-3361	76	13	of	of	ADP
cana-3361	76	14	drawers	drawer	NOUN
cana-3361	76	15	and	and	CCONJ
cana-3361	76	16	cabinets	cabinet	NOUN
cana-3361	76	17	,	,	PUNCT
cana-3361	76	18	and	and	CCONJ
cana-3361	76	19	estimate	estimate	VERB
cana-3361	76	20	rotational	rotational	ADJ
cana-3361	76	21	joints	joint	NOUN
cana-3361	76	22	.	.	PUNCT
cana-3361	77	1	ultimately	ultimately	ADV
cana-3361	77	2	,	,	PUNCT
cana-3361	77	3	the	the	DET
cana-3361	77	4	data	data	NOUN
cana-3361	77	5	is	be	AUX
cana-3361	77	6	combined	combine	VERB
cana-3361	77	7	to	to	PART
cana-3361	77	8	create	create	VERB
cana-3361	77	9	a	a	DET
cana-3361	77	10	threedimensional	threedimensional	ADJ
cana-3361	77	11	representation	representation	NOUN
cana-3361	77	12	of	of	ADP
cana-3361	77	13	the	the	DET
cana-3361	77	14	environment	environment	NOUN
cana-3361	77	15	's	's	PART
cana-3361	77	16	articulated	articulated	ADJ
cana-3361	77	17	objects	object	NOUN
cana-3361	77	18	.	.	PUNCT
cana-3361	78	1	in	in	ADP
cana-3361	78	2	literature	literature	NOUN
cana-3361	78	3	some	some	PRON
cana-3361	78	4	of	of	ADP
cana-3361	78	5	genetic	genetic	ADJ
cana-3361	78	6	algorithm	algorithm	NOUN
cana-3361	78	7	based	base	VERB
cana-3361	78	8	segmentation	segmentation	NOUN
cana-3361	78	9	techniques	technique	NOUN
cana-3361	78	10	also	also	ADV
cana-3361	78	11	been	be	AUX
cana-3361	78	12	existed	exist	VERB
cana-3361	78	13	applied	apply	VERB
cana-3361	78	14	in	in	ADP
cana-3361	78	15	different	different	ADJ
cana-3361	78	16	fields	field	NOUN
cana-3361	78	17	like	like	ADP
cana-3361	78	18	medical	medical	ADJ
cana-3361	78	19	image	image	NOUN
cana-3361	78	20	segmentation	segmentation	NOUN
cana-3361	79	1	[	[	X
cana-3361	79	2	12	12	NUM
cana-3361	79	3	]	]	PUNCT
cana-3361	79	4	and	and	CCONJ
cana-3361	79	5	[	[	X
cana-3361	79	6	17	17	NUM
cana-3361	79	7	]	]	PUNCT
cana-3361	79	8	,	,	PUNCT
cana-3361	79	9	objet	objet	X
cana-3361	79	10	segmentation	segmentation	PROPN
cana-3361	79	11	in	in	ADP
cana-3361	79	12	a	a	DET
cana-3361	79	13	scene	scene	NOUN
cana-3361	80	1	[	[	X
cana-3361	80	2	13	13	NUM
cana-3361	80	3	]	]	PUNCT
cana-3361	80	4	,	,	PUNCT
cana-3361	80	5	[	[	X
cana-3361	80	6	14	14	NUM
cana-3361	80	7	]	]	PUNCT
cana-3361	80	8	,	,	PUNCT
cana-3361	80	9	[	[	X
cana-3361	80	10	15	15	NUM
cana-3361	80	11	]	]	PUNCT
cana-3361	80	12	,	,	PUNCT
cana-3361	81	1	[	[	X
cana-3361	81	2	16	16	NUM
cana-3361	81	3	]	]	X
cana-3361	82	1	[	[	X
cana-3361	82	2	18	18	NUM
cana-3361	82	3	]	]	PUNCT
cana-3361	82	4	,	,	PUNCT
cana-3361	82	5	[	[	X
cana-3361	82	6	19	19	NUM
cana-3361	82	7	]	]	PUNCT
cana-3361	82	8	and	and	CCONJ
cana-3361	82	9	[	[	X
cana-3361	82	10	20	20	NUM
cana-3361	82	11	]	]	PUNCT
cana-3361	82	12	.	.	PUNCT
cana-3361	83	1	in	in	ADP
cana-3361	83	2	order	order	NOUN
cana-3361	83	3	to	to	PART
cana-3361	83	4	diagnose	diagnose	VERB
cana-3361	83	5	melanoma	melanoma	NOUN
cana-3361	83	6	cancer	cancer	NOUN
cana-3361	83	7	,	,	PUNCT
cana-3361	83	8	[	[	X
cana-3361	83	9	12	12	NUM
cana-3361	83	10	]	]	PUNCT
cana-3361	83	11	research	research	NOUN
cana-3361	83	12	suggests	suggest	VERB
cana-3361	83	13	an	an	DET
cana-3361	83	14	ensemble	ensemble	ADV
cana-3361	83	15	-	-	PUNCT
cana-3361	83	16	based	base	VERB
cana-3361	83	17	genetic	genetic	ADJ
cana-3361	83	18	algorithm	algorithm	NOUN
cana-3361	83	19	explainer	explainer	NOUN
cana-3361	83	20	(	(	PUNCT
cana-3361	83	21	egae	egae	NOUN
cana-3361	83	22	)	)	PUNCT
cana-3361	83	23	,	,	PUNCT
cana-3361	83	24	which	which	PRON
cana-3361	83	25	identifies	identify	VERB
cana-3361	83	26	and	and	CCONJ
cana-3361	83	27	shows	show	VERB
cana-3361	83	28	the	the	DET
cana-3361	83	29	user	user	NOUN
cana-3361	83	30	the	the	DET
cana-3361	83	31	informative	informative	ADJ
cana-3361	83	32	portions	portion	NOUN
cana-3361	83	33	of	of	ADP
cana-3361	83	34	the	the	DET
cana-3361	83	35	image	image	NOUN
cana-3361	83	36	automatically	automatically	ADV
cana-3361	83	37	.	.	PUNCT
cana-3361	84	1	three	three	NUM
cana-3361	84	2	phases	phase	NOUN
cana-3361	84	3	make	make	VERB
cana-3361	84	4	up	up	ADP
cana-3361	84	5	egae	egae	NOUN
cana-3361	84	6	.	.	PUNCT
cana-3361	85	1	first	first	ADV
cana-3361	85	2	,	,	PUNCT
cana-3361	85	3	a	a	DET
cana-3361	85	4	heuristic	heuristic	ADJ
cana-3361	85	5	approach	approach	NOUN
cana-3361	85	6	is	be	AUX
cana-3361	85	7	used	use	VERB
cana-3361	85	8	to	to	PART
cana-3361	85	9	determine	determine	VERB
cana-3361	85	10	the	the	DET
cana-3361	85	11	sparsity	sparsity	NOUN
cana-3361	85	12	of	of	ADP
cana-3361	85	13	chromosomes	chromosome	NOUN
cana-3361	85	14	in	in	ADP
cana-3361	85	15	gas	gas	NOUN
cana-3361	85	16	.	.	PUNCT
cana-3361	86	1	next	next	ADV
cana-3361	86	2	,	,	PUNCT
cana-3361	86	3	several	several	ADJ
cana-3361	86	4	gas	gas	NOUN
cana-3361	86	5	are	be	AUX
cana-3361	86	6	carried	carry	VERB
cana-3361	86	7	out	out	ADP
cana-3361	86	8	one	one	NUM
cana-3361	86	9	after	after	ADP
cana-3361	86	10	the	the	DET
cana-3361	86	11	other	other	ADJ
cana-3361	86	12	.	.	PUNCT
cana-3361	87	1	finally	finally	ADV
cana-3361	87	2	,	,	PUNCT
cana-3361	87	3	majority	majority	NOUN
cana-3361	87	4	and	and	CCONJ
cana-3361	87	5	consensus	consensus	NOUN
cana-3361	87	6	votes	vote	NOUN
cana-3361	87	7	are	be	AUX
cana-3361	87	8	used	use	VERB
cana-3361	87	9	to	to	PART
cana-3361	87	10	combine	combine	VERB
cana-3361	87	11	the	the	DET
cana-3361	87	12	ga	ga	PROPN
cana-3361	87	13	results	result	NOUN
cana-3361	87	14	.	.	PUNCT
cana-3361	88	1	based	base	VERB
cana-3361	88	2	on	on	ADP
cana-3361	88	3	melanoma	melanoma	ADJ
cana-3361	88	4	dataset	dataset	VERB
cana-3361	88	5	experiments	experiment	NOUN
cana-3361	88	6	,	,	PUNCT
cana-3361	88	7	egae	egae	NOUN
cana-3361	88	8	automatically	automatically	ADV
cana-3361	88	9	identifies	identify	VERB
cana-3361	88	10	lesions	lesion	NOUN
cana-3361	88	11	that	that	PRON
cana-3361	88	12	provide	provide	VERB
cana-3361	88	13	information	information	NOUN
cana-3361	88	14	and	and	CCONJ
cana-3361	88	15	enhances	enhance	VERB
cana-3361	88	16	explanation	explanation	NOUN
cana-3361	88	17	accuracy	accuracy	NOUN
cana-3361	88	18	.	.	PUNCT
cana-3361	89	1	the	the	DET
cana-3361	89	2	[	[	X
cana-3361	89	3	15	15	NUM
cana-3361	89	4	]	]	PUNCT
cana-3361	89	5	study	study	NOUN
cana-3361	89	6	highlights	highlight	NOUN
cana-3361	89	7	that	that	PRON
cana-3361	89	8	the	the	DET
cana-3361	89	9	conventional	conventional	ADJ
cana-3361	89	10	two	two	NUM
cana-3361	89	11	-	-	PUNCT
cana-3361	89	12	dimensional	dimensional	ADJ
cana-3361	89	13	otsu	otsu	NOUN
cana-3361	89	14	technique	technique	NOUN
cana-3361	89	15	solely	solely	ADV
cana-3361	89	16	took	take	VERB
cana-3361	89	17	into	into	ADP
cana-3361	89	18	account	account	NOUN
cana-3361	89	19	the	the	DET
cana-3361	89	20	lack	lack	NOUN
cana-3361	89	21	of	of	ADP
cana-3361	89	22	the	the	DET
cana-3361	89	23	greatest	great	ADJ
cana-3361	89	24	variance	variance	NOUN
cana-3361	89	25	between	between	ADP
cana-3361	89	26	classes	class	NOUN
cana-3361	89	27	.	.	PUNCT
cana-3361	90	1	instead	instead	ADV
cana-3361	90	2	,	,	PUNCT
cana-3361	90	3	it	it	PRON
cana-3361	90	4	suggests	suggest	VERB
cana-3361	90	5	the	the	DET
cana-3361	90	6	threshold	threshold	NOUN
cana-3361	90	7	discriminant	discriminant	NOUN
cana-3361	90	8	function	function	NOUN
cana-3361	90	9	,	,	PUNCT
cana-3361	90	10	which	which	PRON
cana-3361	90	11	may	may	AUX
cana-3361	90	12	represent	represent	VERB
cana-3361	90	13	both	both	DET
cana-3361	90	14	variance	variance	NOUN
cana-3361	90	15	within	within	ADP
cana-3361	90	16	classes	class	NOUN
cana-3361	90	17	and	and	CCONJ
cana-3361	90	18	variance	variance	NOUN
cana-3361	90	19	between	between	ADP
cana-3361	90	20	classes	class	NOUN
cana-3361	90	21	.	.	PUNCT
cana-3361	91	1	a	a	DET
cana-3361	91	2	unique	unique	ADJ
cana-3361	91	3	approach	approach	NOUN
cana-3361	91	4	[	[	X
cana-3361	91	5	17	17	NUM
cana-3361	91	6	]	]	PUNCT
cana-3361	91	7	called	call	VERB
cana-3361	91	8	ga	ga	NOUN
cana-3361	91	9	-	-	PUNCT
cana-3361	91	10	unet	unet	NOUN
cana-3361	91	11	employs	employ	VERB
cana-3361	91	12	genetic	genetic	ADJ
cana-3361	91	13	algorithms	algorithm	NOUN
cana-3361	91	14	to	to	PART
cana-3361	91	15	automatically	automatically	ADV
cana-3361	91	16	generate	generate	VERB
cana-3361	91	17	a	a	DET
cana-3361	91	18	ushape	ushape	NOUN
cana-3361	91	19	convolution	convolution	NOUN
cana-3361	91	20	neural	neural	ADJ
cana-3361	91	21	network	network	NOUN
cana-3361	91	22	with	with	ADP
cana-3361	91	23	good	good	ADJ
cana-3361	91	24	performance	performance	NOUN
cana-3361	91	25	while	while	SCONJ
cana-3361	91	26	lowering	lower	VERB
cana-3361	91	27	the	the	DET
cana-3361	91	28	complexity	complexity	NOUN
cana-3361	91	29	of	of	ADP
cana-3361	91	30	its	its	PRON
cana-3361	91	31	architecture	architecture	NOUN
cana-3361	91	32	-	-	PUNCT
cana-3361	91	33	based	base	VERB
cana-3361	91	34	parameters	parameter	NOUN
cana-3361	91	35	.	.	PUNCT
cana-3361	92	1	this	this	PRON
cana-3361	92	2	eliminates	eliminate	VERB
cana-3361	92	3	the	the	DET
cana-3361	92	4	aforementioned	aforementioned	ADJ
cana-3361	92	5	challenges	challenge	NOUN
cana-3361	92	6	.	.	PUNCT
cana-3361	93	1	the	the	DET
cana-3361	93	2	proposed	propose	VERB
cana-3361	93	3	gaunet	gaunet	NOUN
cana-3361	93	4	is	be	AUX
cana-3361	93	5	evaluated	evaluate	VERB
cana-3361	93	6	on	on	ADP
cana-3361	93	7	three	three	NUM
cana-3361	93	8	datasets	dataset	NOUN
cana-3361	93	9	:	:	PUNCT
cana-3361	93	10	lung	lung	NOUN
cana-3361	93	11	image	image	NOUN
cana-3361	93	12	segmentation	segmentation	NOUN
cana-3361	93	13	,	,	PUNCT
cana-3361	93	14	liver	liver	NOUN
cana-3361	93	15	image	image	NOUN
cana-3361	93	16	segmentation	segmentation	NOUN
cana-3361	93	17	,	,	PUNCT
cana-3361	93	18	and	and	CCONJ
cana-3361	93	19	cell	cell	NOUN
cana-3361	93	20	nuclei	nucleus	NOUN
cana-3361	93	21	segmentation	segmentation	NOUN
cana-3361	93	22	in	in	ADP
cana-3361	93	23	microscope	microscope	NOUN
cana-3361	93	24	images	image	NOUN
cana-3361	93	25	(	(	PUNCT
cana-3361	93	26	dsb	dsb	NOUN
cana-3361	93	27	2018	2018	NUM
cana-3361	93	28	)	)	PUNCT
cana-3361	93	29	.	.	PUNCT
cana-3361	94	1	surprisingly	surprisingly	ADV
cana-3361	94	2	,	,	PUNCT
cana-3361	94	3	it	it	PRON
cana-3361	94	4	achieves	achieve	VERB
cana-3361	94	5	an	an	DET
cana-3361	94	6	accuracy	accuracy	NOUN
cana-3361	94	7	of	of	ADP
cana-3361	94	8	98.78	98.78	NUM
cana-3361	94	9	%	%	NOUN
cana-3361	94	10	for	for	ADP
cana-3361	94	11	lung	lung	NOUN
cana-3361	94	12	image	image	NOUN
cana-3361	94	13	segmentation	segmentation	NOUN
cana-3361	94	14	,	,	PUNCT
cana-3361	94	15	95.96	95.96	NUM
cana-3361	94	16	%	%	NOUN
cana-3361	94	17	for	for	ADP
cana-3361	94	18	cell	cell	NOUN
cana-3361	94	19	nuclei	nucleus	NOUN
cana-3361	94	20	segmentation	segmentation	NOUN
cana-3361	94	21	in	in	ADP
cana-3361	94	22	microscope	microscope	NOUN
cana-3361	94	23	images	image	NOUN
cana-3361	94	24	(	(	PUNCT
cana-3361	94	25	dsb	dsb	NOUN
cana-3361	94	26	2018	2018	NUM
cana-3361	94	27	)	)	PUNCT
cana-3361	94	28	,	,	PUNCT
cana-3361	94	29	and	and	CCONJ
cana-3361	94	30	98.58	98.58	NUM
cana-3361	94	31	%	%	NOUN
cana-3361	94	32	for	for	ADP
cana-3361	94	33	liver	liver	NOUN
cana-3361	94	34	image	image	NOUN
cana-3361	94	35	segmentation	segmentation	NOUN
cana-3361	94	36	using	use	VERB
cana-3361	94	37	only	only	ADV
cana-3361	94	38	0.24	0.24	NUM
cana-3361	94	39	%	%	NOUN
cana-3361	94	40	,	,	PUNCT
cana-3361	94	41	0.48	0.48	NUM
cana-3361	94	42	%	%	NOUN
cana-3361	94	43	,	,	PUNCT
cana-3361	94	44	and	and	CCONJ
cana-3361	94	45	0.67	0.67	NUM
cana-3361	94	46	%	%	NOUN
cana-3361	94	47	of	of	ADP
cana-3361	94	48	the	the	DET
cana-3361	94	49	number	number	NOUN
cana-3361	94	50	of	of	ADP
cana-3361	94	51	parameters	parameter	NOUN
cana-3361	94	52	in	in	ADP
cana-3361	94	53	the	the	DET
cana-3361	94	54	original	original	ADJ
cana-3361	94	55	u	u	ADJ
cana-3361	94	56	-	-	ADJ
cana-3361	94	57	net	net	ADJ
cana-3361	94	58	architecture	architecture	NOUN
cana-3361	94	59	.	.	PUNCT
cana-3361	95	1	[	[	X
cana-3361	95	2	13	13	NUM
cana-3361	95	3	]	]	PUNCT
cana-3361	95	4	this	this	DET
cana-3361	95	5	study	study	NOUN
cana-3361	95	6	develops	develop	VERB
cana-3361	95	7	a	a	DET
cana-3361	95	8	genetic	genetic	ADJ
cana-3361	95	9	method	method	NOUN
cana-3361	95	10	to	to	PART
cana-3361	95	11	determine	determine	VERB
cana-3361	95	12	the	the	DET
cana-3361	95	13	accurate	accurate	ADJ
cana-3361	95	14	segmentation	segmentation	NOUN
cana-3361	95	15	in	in	ADP
cana-3361	95	16	a	a	DET
cana-3361	95	17	given	give	VERB
cana-3361	95	18	dataset	dataset	NOUN
cana-3361	95	19	of	of	ADP
cana-3361	95	20	images	image	NOUN
cana-3361	95	21	from	from	ADP
cana-3361	95	22	many	many	ADJ
cana-3361	95	23	subjects	subject	NOUN
cana-3361	95	24	.	.	PUNCT
cana-3361	96	1	every	every	DET
cana-3361	96	2	member	member	NOUN
cana-3361	96	3	of	of	ADP
cana-3361	96	4	the	the	DET
cana-3361	96	5	population	population	NOUN
cana-3361	96	6	represents	represent	VERB
cana-3361	96	7	a	a	DET
cana-3361	96	8	potential	potential	ADJ
cana-3361	96	9	remedy	remedy	NOUN
cana-3361	96	10	for	for	ADP
cana-3361	96	11	the	the	DET
cana-3361	96	12	issue	issue	NOUN
cana-3361	96	13	of	of	ADP
cana-3361	96	14	inadequate	inadequate	ADJ
cana-3361	96	15	segmentation	segmentation	NOUN
cana-3361	96	16	.	.	PUNCT
cana-3361	97	1	the	the	DET
cana-3361	97	2	individual	individual	NOUN
cana-3361	97	3	also	also	ADV
cana-3361	97	4	consists	consist	VERB
cana-3361	97	5	of	of	ADP
cana-3361	97	6	various	various	ADJ
cana-3361	97	7	variables	variable	NOUN
cana-3361	97	8	,	,	PUNCT
cana-3361	97	9	such	such	ADJ
cana-3361	97	10	as	as	ADP
cana-3361	97	11	segmentation	segmentation	NOUN
cana-3361	97	12	,	,	PUNCT
cana-3361	97	13	colour	colour	NOUN
cana-3361	97	14	space	space	NOUN
cana-3361	97	15	,	,	PUNCT
cana-3361	97	16	colour	colour	NOUN
cana-3361	97	17	channel	channel	NOUN
cana-3361	97	18	,	,	PUNCT
cana-3361	97	19	morphological	morphological	ADJ
cana-3361	97	20	,	,	PUNCT
cana-3361	97	21	and	and	CCONJ
cana-3361	97	22	pre	pre	ADJ
cana-3361	97	23	-	-	ADJ
cana-3361	97	24	processing	processing	ADJ
cana-3361	97	25	techniques	technique	NOUN
cana-3361	97	26	.	.	PUNCT
cana-3361	98	1	to	to	PART
cana-3361	98	2	make	make	VERB
cana-3361	98	3	each	each	DET
cana-3361	98	4	generation	generation	NOUN
cana-3361	98	5	better	well	ADV
cana-3361	98	6	,	,	PUNCT
cana-3361	98	7	the	the	DET
cana-3361	98	8	genetic	genetic	ADJ
cana-3361	98	9	algorithm	algorithm	NOUN
cana-3361	98	10	assesses	assess	VERB
cana-3361	98	11	each	each	DET
cana-3361	98	12	person	person	NOUN
cana-3361	98	13	,	,	PUNCT
cana-3361	98	14	chooses	choose	VERB
cana-3361	98	15	the	the	DET
cana-3361	98	16	best	good	ADJ
cana-3361	98	17	,	,	PUNCT
cana-3361	98	18	and	and	CCONJ
cana-3361	98	19	then	then	ADV
cana-3361	98	20	crosses	crosse	NOUN
cana-3361	98	21	and	and	CCONJ
cana-3361	98	22	mutates	mutate	NOUN
cana-3361	98	23	each	each	DET
cana-3361	98	24	individual	individual	NOUN
cana-3361	98	25	.	.	PUNCT
cana-3361	99	1	in	in	ADP
cana-3361	99	2	[	[	X
cana-3361	99	3	21	21	NUM
cana-3361	99	4	]	]	PUNCT
cana-3361	99	5	,	,	PUNCT
cana-3361	99	6	[	[	X
cana-3361	99	7	22	22	NUM
cana-3361	99	8	]	]	PUNCT
cana-3361	99	9	,	,	PUNCT
cana-3361	99	10	[	[	X
cana-3361	99	11	23	23	NUM
cana-3361	99	12	]	]	PUNCT
cana-3361	99	13	,	,	PUNCT
cana-3361	99	14	[	[	X
cana-3361	99	15	24	24	NUM
cana-3361	99	16	]	]	PUNCT
cana-3361	99	17	and	and	CCONJ
cana-3361	99	18	[	[	X
cana-3361	99	19	25	25	NUM
cana-3361	99	20	]	]	X
cana-3361	99	21	traditional	traditional	ADJ
cana-3361	99	22	as	as	ADV
cana-3361	99	23	well	well	ADV
cana-3361	99	24	improved	improve	VERB
cana-3361	99	25	watershed	watershe	VERB
cana-3361	99	26	segmentation	segmentation	NOUN
cana-3361	99	27	algorithm	algorithm	NOUN
cana-3361	99	28	is	be	AUX
cana-3361	99	29	employed	employ	VERB
cana-3361	99	30	to	to	PART
cana-3361	99	31	segment	segment	VERB
cana-3361	99	32	an	an	DET
cana-3361	99	33	object	object	NOUN
cana-3361	99	34	.	.	PUNCT
cana-3361	100	1	two	two	NUM
cana-3361	100	2	variants	variant	NOUN
cana-3361	100	3	of	of	ADP
cana-3361	100	4	watershed	watershed	ADJ
cana-3361	100	5	transform	transform	NOUN
cana-3361	100	6	with	with	ADP
cana-3361	100	7	morphological	morphological	ADJ
cana-3361	100	8	gradients	gradient	NOUN
cana-3361	100	9	and	and	CCONJ
cana-3361	100	10	wavelet	wavelet	NOUN
cana-3361	100	11	coefficients	coefficient	NOUN
cana-3361	100	12	are	be	AUX
cana-3361	100	13	proposed	propose	VERB
cana-3361	100	14	in	in	ADP
cana-3361	100	15	all	all	DET
cana-3361	100	16	these	these	DET
cana-3361	100	17	articles	article	NOUN
cana-3361	100	18	.	.	PUNCT
cana-3361	101	1	some	some	PRON
cana-3361	101	2	of	of	ADP
cana-3361	101	3	the	the	DET
cana-3361	101	4	issues	issue	NOUN
cana-3361	101	5	and	and	CCONJ
cana-3361	101	6	challenges	challenge	NOUN
cana-3361	101	7	in	in	ADP
cana-3361	101	8	task	task	NOUN
cana-3361	101	9	of	of	ADP
cana-3361	101	10	segmentation	segmentation	NOUN
cana-3361	101	11	are	be	AUX
cana-3361	101	12	identified	identify	VERB
cana-3361	101	13	during	during	ADP
cana-3361	101	14	survey	survey	NOUN
cana-3361	101	15	.	.	PUNCT
cana-3361	102	1	those	those	PRON
cana-3361	102	2	are	be	AUX
cana-3361	102	3	as	as	SCONJ
cana-3361	102	4	follows	follow	VERB
cana-3361	102	5	•	•	NOUN
cana-3361	102	6	segmenting	segment	VERB
cana-3361	102	7	the	the	DET
cana-3361	102	8	particular	particular	ADJ
cana-3361	102	9	object	object	NOUN
cana-3361	102	10	from	from	ADP
cana-3361	102	11	complex	complex	ADJ
cana-3361	102	12	background	background	NOUN
cana-3361	102	13	and	and	CCONJ
cana-3361	102	14	multiple	multiple	ADJ
cana-3361	102	15	objects	object	NOUN
cana-3361	102	16	is	be	AUX
cana-3361	102	17	a	a	DET
cana-3361	102	18	major	major	ADJ
cana-3361	102	19	issue	issue	NOUN
cana-3361	102	20	.	.	PUNCT
cana-3361	103	1	communications	communication	NOUN
cana-3361	103	2	on	on	ADP
cana-3361	103	3	applied	apply	VERB
cana-3361	103	4	nonlinear	nonlinear	ADJ
cana-3361	103	5	analysis	analysis	NOUN
cana-3361	103	6	issn	issn	NOUN
cana-3361	103	7	:	:	PUNCT
cana-3361	103	8	1074	1074	NUM
cana-3361	103	9	-	-	PUNCT
cana-3361	103	10	133x	133x	NUM
cana-3361	103	11	vol	vol	NOUN
cana-3361	103	12	32	32	NUM
cana-3361	103	13	no	no	NOUN
cana-3361	103	14	.	.	PUNCT
cana-3361	104	1	7s	7	NOUN
cana-3361	104	2	(	(	PUNCT
cana-3361	104	3	2025	2025	NUM
cana-3361	104	4	)	)	PUNCT
cana-3361	104	5	50	50	NUM
cana-3361	104	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-3361	104	7	•	•	NUM
cana-3361	104	8	segmentation	segmentation	NOUN
cana-3361	104	9	of	of	ADP
cana-3361	104	10	trivial	trivial	ADJ
cana-3361	104	11	and	and	CCONJ
cana-3361	104	12	non	non	ADJ
cana-3361	104	13	-	-	ADJ
cana-3361	104	14	uniform	uniform	ADJ
cana-3361	104	15	illumination	illumination	NOUN
cana-3361	104	16	images	image	NOUN
cana-3361	104	17	is	be	AUX
cana-3361	104	18	also	also	ADV
cana-3361	104	19	one	one	NUM
cana-3361	104	20	of	of	ADP
cana-3361	104	21	the	the	DET
cana-3361	104	22	difficult	difficult	ADJ
cana-3361	104	23	tasks	task	NOUN
cana-3361	104	24	.	.	PUNCT
cana-3361	105	1	•	•	NOUN
cana-3361	105	2	overlapping	overlap	VERB
cana-3361	105	3	objects	object	NOUN
cana-3361	105	4	are	be	AUX
cana-3361	105	5	also	also	ADV
cana-3361	105	6	difficult	difficult	ADJ
cana-3361	105	7	to	to	PART
cana-3361	105	8	segment	segment	VERB
cana-3361	105	9	as	as	SCONJ
cana-3361	105	10	they	they	PRON
cana-3361	105	11	are	be	AUX
cana-3361	105	12	hidden	hide	VERB
cana-3361	105	13	by	by	ADP
cana-3361	105	14	other	other	ADJ
cana-3361	105	15	objects	object	NOUN
cana-3361	105	16	.	.	PUNCT
cana-3361	106	1	•	•	NUM
cana-3361	106	2	segmentation	segmentation	NOUN
cana-3361	106	3	is	be	AUX
cana-3361	106	4	difficult	difficult	ADJ
cana-3361	106	5	mainly	mainly	ADV
cana-3361	106	6	because	because	SCONJ
cana-3361	106	7	of	of	ADP
cana-3361	106	8	picture	picture	NOUN
cana-3361	106	9	noise	noise	NOUN
cana-3361	106	10	,	,	PUNCT
cana-3361	106	11	fragile	fragile	ADJ
cana-3361	106	12	object	object	NOUN
cana-3361	106	13	boundaries	boundary	NOUN
cana-3361	106	14	,	,	PUNCT
cana-3361	106	15	heterogenous	heterogenous	ADJ
cana-3361	106	16	object	object	NOUN
cana-3361	106	17	area	area	NOUN
cana-3361	106	18	,	,	PUNCT
cana-3361	106	19	fragilecontrast	fragilecontrast	NOUN
cana-3361	106	20	,	,	PUNCT
cana-3361	106	21	soothe	soothe	ADJ
cana-3361	106	22	boundaries	boundary	NOUN
cana-3361	106	23	,	,	PUNCT
cana-3361	106	24	and	and	CCONJ
cana-3361	106	25	texture	texture	ADJ
cana-3361	106	26	boundary	boundary	ADJ
cana-3361	106	27	great	great	ADJ
cana-3361	106	28	calculation	calculation	NOUN
cana-3361	106	29	time	time	NOUN
cana-3361	106	30	etc	etc	X
cana-3361	106	31	…	…	X
cana-3361	106	32	.	.	PUNCT
cana-3361	107	1	•	•	NUM
cana-3361	107	2	others	other	NOUN
cana-3361	107	3	problems	problem	NOUN
cana-3361	107	4	shall	shall	AUX
cana-3361	107	5	produce	produce	VERB
cana-3361	107	6	undesirable	undesirable	ADJ
cana-3361	107	7	results	result	NOUN
cana-3361	107	8	like	like	ADP
cana-3361	107	9	the	the	DET
cana-3361	107	10	segregated	segregated	ADJ
cana-3361	107	11	section	section	NOUN
cana-3361	107	12	may	may	AUX
cana-3361	107	13	be	be	AUX
cana-3361	107	14	smaller	small	ADJ
cana-3361	107	15	or	or	CCONJ
cana-3361	107	16	larger	large	ADJ
cana-3361	107	17	than	than	ADP
cana-3361	107	18	actual	actual	ADJ
cana-3361	107	19	,	,	PUNCT
cana-3361	107	20	disconnected	disconnected	ADJ
cana-3361	107	21	edges	edge	NOUN
cana-3361	107	22	,	,	PUNCT
cana-3361	107	23	arising	arise	VERB
cana-3361	107	24	false	false	ADJ
cana-3361	107	25	edges	edge	NOUN
cana-3361	107	26	,	,	PUNCT
cana-3361	107	27	intersection	intersection	NOUN
cana-3361	107	28	segregation	segregation	NOUN
cana-3361	107	29	.	.	PUNCT
cana-3361	108	1	•	•	NUM
cana-3361	108	2	deciding	decide	VERB
cana-3361	108	3	the	the	DET
cana-3361	108	4	number	number	NOUN
cana-3361	108	5	of	of	ADP
cana-3361	108	6	iterations	iteration	NOUN
cana-3361	108	7	in	in	ADP
cana-3361	108	8	any	any	DET
cana-3361	108	9	algorithm	algorithm	NOUN
cana-3361	108	10	for	for	ADP
cana-3361	108	11	every	every	DET
cana-3361	108	12	input	input	NOUN
cana-3361	108	13	image	image	NOUN
cana-3361	108	14	.	.	PUNCT
cana-3361	109	1	2	2	X
cana-3361	109	2	.	.	NUM
cana-3361	109	3	proposed	propose	VERB
cana-3361	109	4	methodology	methodology	NOUN
cana-3361	109	5	in	in	ADP
cana-3361	109	6	this	this	DET
cana-3361	109	7	section	section	NOUN
cana-3361	109	8	the	the	DET
cana-3361	109	9	detail	detail	NOUN
cana-3361	109	10	system	system	NOUN
cana-3361	109	11	implementation	implementation	NOUN
cana-3361	109	12	shown	show	VERB
cana-3361	109	13	in	in	ADP
cana-3361	109	14	fig	fig	NOUN
cana-3361	109	15	.	.	PUNCT
cana-3361	110	1	1	1	NUM
cana-3361	110	2	is	be	AUX
cana-3361	110	3	discussed	discuss	VERB
cana-3361	110	4	with	with	ADP
cana-3361	110	5	every	every	DET
cana-3361	110	6	step	step	NOUN
cana-3361	110	7	,	,	PUNCT
cana-3361	110	8	formulas	formula	NOUN
cana-3361	110	9	and	and	CCONJ
cana-3361	110	10	results	result	NOUN
cana-3361	110	11	.	.	PUNCT
cana-3361	111	1	it	it	PRON
cana-3361	111	2	mainly	mainly	ADV
cana-3361	111	3	consists	consist	VERB
cana-3361	111	4	of	of	ADP
cana-3361	111	5	stages	stage	NOUN
cana-3361	111	6	like	like	ADP
cana-3361	111	7	acquiring	acquire	VERB
cana-3361	111	8	images	image	NOUN
cana-3361	111	9	of	of	ADP
cana-3361	111	10	household	household	NOUN
cana-3361	111	11	objects	object	NOUN
cana-3361	111	12	,	,	PUNCT
cana-3361	111	13	image	image	NOUN
cana-3361	111	14	preprocessing	preprocessing	NOUN
cana-3361	111	15	,	,	PUNCT
cana-3361	111	16	initial	initial	ADJ
cana-3361	111	17	segmentation	segmentation	NOUN
cana-3361	111	18	using	use	VERB
cana-3361	111	19	k	k	ADJ
cana-3361	111	20	-	-	ADJ
cana-3361	111	21	mean	mean	ADJ
cana-3361	111	22	clustering	clustering	NOUN
cana-3361	111	23	,	,	PUNCT
cana-3361	111	24	optimization	optimization	NOUN
cana-3361	111	25	using	use	VERB
cana-3361	111	26	genetic	genetic	ADJ
cana-3361	111	27	algorithm	algorithm	NOUN
cana-3361	111	28	and	and	CCONJ
cana-3361	111	29	then	then	ADV
cana-3361	111	30	extraction	extraction	NOUN
cana-3361	111	31	of	of	ADP
cana-3361	111	32	objects	object	NOUN
cana-3361	111	33	from	from	ADP
cana-3361	111	34	an	an	DET
cana-3361	111	35	original	original	ADJ
cana-3361	111	36	image	image	NOUN
cana-3361	111	37	.	.	PUNCT
cana-3361	112	1	2.1	2.1	NUM
cana-3361	112	2	input	input	NOUN
cana-3361	112	3	image	image	NOUN
cana-3361	112	4	in	in	ADP
cana-3361	112	5	this	this	DET
cana-3361	112	6	work	work	NOUN
cana-3361	112	7	,	,	PUNCT
cana-3361	112	8	a	a	DET
cana-3361	112	9	standard	standard	ADJ
cana-3361	112	10	dataset	dataset	VERB
cana-3361	112	11	namely	namely	ADV
cana-3361	112	12	caltech	caltech	NOUN
cana-3361	112	13	home	home	NOUN
cana-3361	112	14	object	object	NOUN
cana-3361	112	15	dataset	dataset	VERB
cana-3361	113	1	[	[	PUNCT
cana-3361	113	2	26	26	NUM
cana-3361	113	3	]	]	PUNCT
cana-3361	113	4	shown	show	VERB
cana-3361	113	5	in	in	ADP
cana-3361	113	6	fig.2	fig.2	PROPN
cana-3361	113	7	along	along	ADP
cana-3361	113	8	with	with	ADP
cana-3361	113	9	some	some	DET
cana-3361	113	10	real	real	ADJ
cana-3361	113	11	time	time	NOUN
cana-3361	113	12	images	image	NOUN
cana-3361	113	13	from	from	ADP
cana-3361	113	14	house	house	NOUN
cana-3361	113	15	hold	hold	VERB
cana-3361	113	16	objects	object	NOUN
cana-3361	113	17	shown	show	VERB
cana-3361	113	18	in	in	ADP
cana-3361	113	19	fig.3	fig.3	PROPN
cana-3361	113	20	are	be	AUX
cana-3361	113	21	used	use	VERB
cana-3361	113	22	.	.	PUNCT
cana-3361	114	1	in	in	ADP
cana-3361	114	2	caltech	caltech	NOUN
cana-3361	114	3	object	object	NOUN
cana-3361	114	4	dataset	dataset	NOUN
cana-3361	114	5	,	,	PUNCT
cana-3361	114	6	there	there	PRON
cana-3361	114	7	are	be	VERB
cana-3361	114	8	101	101	NUM
cana-3361	114	9	indoor	indoor	ADJ
cana-3361	114	10	object	object	NOUN
cana-3361	114	11	categories	category	NOUN
cana-3361	114	12	considered	consider	VERB
cana-3361	114	13	.	.	PUNCT
cana-3361	115	1	the	the	DET
cana-3361	115	2	input	input	NOUN
cana-3361	115	3	to	to	ADP
cana-3361	115	4	this	this	DET
cana-3361	115	5	system	system	NOUN
cana-3361	115	6	is	be	AUX
cana-3361	115	7	colour	colour	ADJ
cana-3361	115	8	image	image	NOUN
cana-3361	115	9	,	,	PUNCT
cana-3361	115	10	where	where	SCONJ
cana-3361	115	11	each	each	DET
cana-3361	115	12	pixel	pixel	NOUN
cana-3361	115	13	is	be	AUX
cana-3361	115	14	comprises	comprise	NOUN
cana-3361	115	15	of	of	ADP
cana-3361	115	16	red	red	ADJ
cana-3361	115	17	,	,	PUNCT
cana-3361	115	18	green	green	ADJ
cana-3361	115	19	and	and	CCONJ
cana-3361	115	20	blue	blue	ADJ
cana-3361	115	21	components	component	NOUN
cana-3361	115	22	.	.	PUNCT
cana-3361	116	1	fig	fig	NOUN
cana-3361	116	2	.	.	PUNCT
cana-3361	117	1	1	1	X
cana-3361	117	2	.	.	X
cana-3361	117	3	block	block	NOUN
cana-3361	117	4	diagram	diagram	NOUN
cana-3361	117	5	of	of	ADP
cana-3361	117	6	proposed	propose	VERB
cana-3361	117	7	methodology	methodology	NOUN
cana-3361	117	8	communications	communication	NOUN
cana-3361	117	9	on	on	ADP
cana-3361	117	10	applied	apply	VERB
cana-3361	117	11	nonlinear	nonlinear	ADJ
cana-3361	117	12	analysis	analysis	NOUN
cana-3361	117	13	issn	issn	NOUN
cana-3361	117	14	:	:	PUNCT
cana-3361	117	15	1074	1074	NUM
cana-3361	117	16	-	-	PUNCT
cana-3361	117	17	133x	133x	NUM
cana-3361	117	18	vol	vol	NOUN
cana-3361	117	19	32	32	NUM
cana-3361	117	20	no	no	NOUN
cana-3361	117	21	.	.	PUNCT
cana-3361	118	1	7s	7	NOUN
cana-3361	118	2	(	(	PUNCT
cana-3361	118	3	2025	2025	NUM
cana-3361	118	4	)	)	PUNCT
cana-3361	118	5	51	51	NUM
cana-3361	118	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3361	118	7	fig	fig	NOUN
cana-3361	118	8	.	.	PUNCT
cana-3361	119	1	2	2	X
cana-3361	119	2	.	.	X
cana-3361	119	3	samples	sample	NOUN
cana-3361	119	4	from	from	ADP
cana-3361	119	5	home	home	NOUN
cana-3361	119	6	object	object	NOUN
cana-3361	119	7	dataset	dataset	VERB
cana-3361	119	8	2.2	2.2	NUM
cana-3361	119	9	image	image	NOUN
cana-3361	119	10	preprocessing	preprocesse	VERB
cana-3361	119	11	the	the	DET
cana-3361	119	12	important	important	ADJ
cana-3361	119	13	aspect	aspect	NOUN
cana-3361	119	14	in	in	ADP
cana-3361	119	15	image	image	NOUN
cana-3361	119	16	segmentation	segmentation	NOUN
cana-3361	119	17	is	be	AUX
cana-3361	119	18	to	to	PART
cana-3361	119	19	separate	separate	VERB
cana-3361	119	20	foreground	foreground	NOUN
cana-3361	119	21	and	and	CCONJ
cana-3361	119	22	background	background	NOUN
cana-3361	119	23	of	of	ADP
cana-3361	119	24	an	an	DET
cana-3361	119	25	image	image	NOUN
cana-3361	119	26	which	which	PRON
cana-3361	119	27	can	can	AUX
cana-3361	119	28	be	be	AUX
cana-3361	119	29	accomplished	accomplish	VERB
cana-3361	119	30	by	by	ADP
cana-3361	119	31	identifying	identify	VERB
cana-3361	119	32	active	active	ADJ
cana-3361	119	33	and	and	CCONJ
cana-3361	119	34	inactive	inactive	ADJ
cana-3361	119	35	pixels	pixel	NOUN
cana-3361	119	36	in	in	ADP
cana-3361	119	37	an	an	DET
cana-3361	119	38	image	image	NOUN
cana-3361	119	39	.	.	PUNCT
cana-3361	120	1	to	to	PART
cana-3361	120	2	achieve	achieve	VERB
cana-3361	120	3	this	this	PRON
cana-3361	120	4	,	,	PUNCT
cana-3361	120	5	given	give	VERB
cana-3361	120	6	color	color	NOUN
cana-3361	120	7	image	image	NOUN
cana-3361	120	8	is	be	AUX
cana-3361	120	9	first	first	ADV
cana-3361	120	10	decomposed	decompose	VERB
cana-3361	120	11	into	into	ADP
cana-3361	120	12	r	r	NOUN
cana-3361	120	13	,	,	PUNCT
cana-3361	120	14	g	g	PROPN
cana-3361	120	15	and	and	CCONJ
cana-3361	120	16	b	b	PROPN
cana-3361	120	17	component	component	NOUN
cana-3361	120	18	and	and	CCONJ
cana-3361	120	19	guassian	guassian	NOUN
cana-3361	120	20	filter	filter	NOUN
cana-3361	120	21	is	be	AUX
cana-3361	120	22	applied	apply	VERB
cana-3361	120	23	for	for	ADP
cana-3361	120	24	eah	eah	PROPN
cana-3361	120	25	of	of	ADP
cana-3361	120	26	these	these	DET
cana-3361	120	27	components	component	NOUN
cana-3361	120	28	.	.	PUNCT
cana-3361	121	1	the	the	DET
cana-3361	121	2	result	result	NOUN
cana-3361	121	3	is	be	AUX
cana-3361	121	4	shown	show	VERB
cana-3361	121	5	in	in	ADP
cana-3361	121	6	fig	fig	NOUN
cana-3361	121	7	.	.	PUNCT
cana-3361	122	1	4	4	X
cana-3361	122	2	.	.	X
cana-3361	122	3	fig	fig	NOUN
cana-3361	122	4	.	.	PUNCT
cana-3361	123	1	3	3	X
cana-3361	123	2	.	.	X
cana-3361	123	3	some	some	DET
cana-3361	123	4	real	real	ADJ
cana-3361	123	5	time	time	NOUN
cana-3361	123	6	household	household	NOUN
cana-3361	123	7	objects	object	VERB
cana-3361	123	8	fig	fig	NOUN
cana-3361	123	9	.	.	PUNCT
cana-3361	124	1	4	4	X
cana-3361	124	2	.	.	X
cana-3361	124	3	gaussian	gaussian	NOUN
cana-3361	124	4	filtered	filter	VERB
cana-3361	124	5	r	r	NOUN
cana-3361	124	6	,	,	PUNCT
cana-3361	124	7	g	g	PROPN
cana-3361	124	8	and	and	CCONJ
cana-3361	124	9	b	b	NOUN
cana-3361	124	10	components	component	NOUN
cana-3361	124	11	2.3	2.3	NUM
cana-3361	124	12	k	k	NOUN
cana-3361	124	13	-	-	ADJ
cana-3361	124	14	mean	mean	ADJ
cana-3361	124	15	clustering	clustering	NOUN
cana-3361	124	16	after	after	ADP
cana-3361	124	17	getting	get	VERB
cana-3361	124	18	gaussian	gaussian	NOUN
cana-3361	124	19	filtered	filter	VERB
cana-3361	124	20	r	r	NOUN
cana-3361	124	21	,	,	PUNCT
cana-3361	124	22	g	g	NOUN
cana-3361	124	23	and	and	CCONJ
cana-3361	124	24	b	b	PROPN
cana-3361	124	25	components	component	NOUN
cana-3361	124	26	,	,	PUNCT
cana-3361	124	27	the	the	DET
cana-3361	124	28	k	k	NOUN
cana-3361	124	29	-	-	ADJ
cana-3361	124	30	mean	mean	ADJ
cana-3361	124	31	clustering	clustering	NOUN
cana-3361	124	32	with	with	ADP
cana-3361	124	33	k=5	k=5	PROPN
cana-3361	124	34	is	be	AUX
cana-3361	124	35	applied	apply	VERB
cana-3361	124	36	on	on	ADP
cana-3361	124	37	these	these	DET
cana-3361	124	38	components	component	NOUN
cana-3361	124	39	to	to	PART
cana-3361	124	40	get	get	VERB
cana-3361	124	41	initial	initial	ADJ
cana-3361	124	42	segmentation	segmentation	NOUN
cana-3361	124	43	as	as	SCONJ
cana-3361	124	44	shown	show	VERB
cana-3361	124	45	in	in	ADP
cana-3361	124	46	fig.5	fig.5	PROPN
cana-3361	124	47	.	.	PUNCT
cana-3361	125	1	figure	figure	NOUN
cana-3361	125	2	5	5	NUM
cana-3361	125	3	:	:	PUNCT
cana-3361	125	4	k	k	ADJ
cana-3361	125	5	-	-	ADJ
cana-3361	125	6	mean	mean	ADJ
cana-3361	125	7	clusters	cluster	NOUN
cana-3361	125	8	communications	communication	NOUN
cana-3361	125	9	on	on	ADP
cana-3361	125	10	applied	apply	VERB
cana-3361	125	11	nonlinear	nonlinear	ADJ
cana-3361	125	12	analysis	analysis	NOUN
cana-3361	125	13	issn	issn	NOUN
cana-3361	125	14	:	:	PUNCT
cana-3361	125	15	1074	1074	NUM
cana-3361	125	16	-	-	PUNCT
cana-3361	125	17	133x	133x	NUM
cana-3361	125	18	vol	vol	NOUN
cana-3361	125	19	32	32	NUM
cana-3361	125	20	no	no	NOUN
cana-3361	125	21	.	.	PUNCT
cana-3361	126	1	7s	7	NOUN
cana-3361	126	2	(	(	PUNCT
cana-3361	126	3	2025	2025	NUM
cana-3361	126	4	)	)	PUNCT
cana-3361	126	5	52	52	NUM
cana-3361	126	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3361	126	7	2.4	2.4	NUM
cana-3361	126	8	genetic	genetic	ADJ
cana-3361	126	9	algorithm	algorithm	NOUN
cana-3361	126	10	implementation	implementation	NOUN
cana-3361	126	11	genetic	genetic	ADJ
cana-3361	126	12	algorithms	algorithm	NOUN
cana-3361	126	13	(	(	PUNCT
cana-3361	126	14	gas	gas	NOUN
cana-3361	126	15	)	)	PUNCT
cana-3361	126	16	can	can	AUX
cana-3361	126	17	be	be	AUX
cana-3361	126	18	used	use	VERB
cana-3361	126	19	as	as	ADP
cana-3361	126	20	an	an	DET
cana-3361	126	21	optimization	optimization	NOUN
cana-3361	126	22	tool	tool	NOUN
cana-3361	126	23	for	for	ADP
cana-3361	126	24	color	color	NOUN
cana-3361	126	25	image	image	NOUN
cana-3361	126	26	segmentation	segmentation	NOUN
cana-3361	126	27	,	,	PUNCT
cana-3361	126	28	where	where	SCONJ
cana-3361	126	29	the	the	DET
cana-3361	126	30	goal	goal	NOUN
cana-3361	126	31	is	be	AUX
cana-3361	126	32	to	to	PART
cana-3361	126	33	partition	partition	VERB
cana-3361	126	34	an	an	DET
cana-3361	126	35	input	input	NOUN
cana-3361	126	36	color	color	NOUN
cana-3361	126	37	image	image	NOUN
cana-3361	126	38	into	into	ADP
cana-3361	126	39	meaningful	meaningful	ADJ
cana-3361	126	40	regions	region	NOUN
cana-3361	126	41	.	.	PUNCT
cana-3361	127	1	the	the	DET
cana-3361	127	2	process	process	NOUN
cana-3361	127	3	involves	involve	VERB
cana-3361	127	4	representing	represent	VERB
cana-3361	127	5	potential	potential	ADJ
cana-3361	127	6	segmentation	segmentation	NOUN
cana-3361	127	7	solutions	solution	NOUN
cana-3361	127	8	as	as	ADP
cana-3361	127	9	chromosomes	chromosome	NOUN
cana-3361	127	10	,	,	PUNCT
cana-3361	127	11	applying	apply	VERB
cana-3361	127	12	genetic	genetic	ADJ
cana-3361	127	13	operators	operator	NOUN
cana-3361	127	14	(	(	PUNCT
cana-3361	127	15	crossover	crossover	NOUN
cana-3361	127	16	and	and	CCONJ
cana-3361	127	17	mutation	mutation	NOUN
cana-3361	127	18	)	)	PUNCT
cana-3361	127	19	,	,	PUNCT
cana-3361	127	20	and	and	CCONJ
cana-3361	127	21	evolving	evolve	VERB
cana-3361	127	22	a	a	DET
cana-3361	127	23	population	population	NOUN
cana-3361	127	24	of	of	ADP
cana-3361	127	25	solutions	solution	NOUN
cana-3361	127	26	over	over	ADP
cana-3361	127	27	multiple	multiple	ADJ
cana-3361	127	28	generations	generation	NOUN
cana-3361	127	29	.	.	PUNCT
cana-3361	128	1	2.4.1	2.4.1	NUM
cana-3361	128	2	chromosome	chromosome	NOUN
cana-3361	128	3	structure	structure	NOUN
cana-3361	128	4	and	and	CCONJ
cana-3361	128	5	initial	initial	ADJ
cana-3361	128	6	population	population	NOUN
cana-3361	128	7	a	a	DET
cana-3361	128	8	solution	solution	NOUN
cana-3361	128	9	is	be	AUX
cana-3361	128	10	represented	represent	VERB
cana-3361	128	11	by	by	ADP
cana-3361	128	12	each	each	DET
cana-3361	128	13	chromosome	chromosome	NOUN
cana-3361	128	14	,	,	PUNCT
cana-3361	128	15	which	which	PRON
cana-3361	128	16	is	be	AUX
cana-3361	128	17	defined	define	VERB
cana-3361	128	18	as	as	ADP
cana-3361	128	19	a	a	DET
cana-3361	128	20	series	series	NOUN
cana-3361	128	21	of	of	ADP
cana-3361	128	22	collection	collection	NOUN
cana-3361	128	23	centres	centre	NOUN
cana-3361	128	24	of	of	ADP
cana-3361	128	25	k	k	PROPN
cana-3361	128	26	clusters	cluster	NOUN
cana-3361	128	27	as	as	SCONJ
cana-3361	128	28	shown	show	VERB
cana-3361	128	29	in	in	ADP
cana-3361	128	30	figure	figure	NOUN
cana-3361	128	31	6	6	NUM
cana-3361	128	32	.	.	PUNCT
cana-3361	129	1	every	every	DET
cana-3361	129	2	gene	gene	NOUN
cana-3361	129	3	represents	represent	VERB
cana-3361	129	4	a	a	DET
cana-3361	129	5	real	real	ADJ
cana-3361	129	6	number	number	NOUN
cana-3361	129	7	that	that	PRON
cana-3361	129	8	corresponds	correspond	VERB
cana-3361	129	9	to	to	ADP
cana-3361	129	10	the	the	DET
cana-3361	129	11	intensity	intensity	NOUN
cana-3361	129	12	of	of	ADP
cana-3361	129	13	the	the	DET
cana-3361	129	14	red	red	ADJ
cana-3361	129	15	,	,	PUNCT
cana-3361	129	16	green	green	ADJ
cana-3361	129	17	,	,	PUNCT
cana-3361	129	18	and	and	CCONJ
cana-3361	129	19	blue	blue	ADJ
cana-3361	129	20	components	component	NOUN
cana-3361	129	21	of	of	ADP
cana-3361	129	22	k	k	PROPN
cana-3361	129	23	clusters	cluster	NOUN
cana-3361	129	24	.	.	PUNCT
cana-3361	130	1	in	in	ADP
cana-3361	130	2	every	every	DET
cana-3361	130	3	round	round	NOUN
cana-3361	130	4	,	,	PUNCT
cana-3361	130	5	the	the	DET
cana-3361	130	6	population	population	NOUN
cana-3361	130	7	is	be	AUX
cana-3361	130	8	randomly	randomly	ADV
cana-3361	130	9	initialized	initialize	VERB
cana-3361	130	10	by	by	ADP
cana-3361	130	11	taking	take	VERB
cana-3361	130	12	into	into	ADP
cana-3361	130	13	account	account	NOUN
cana-3361	130	14	the	the	DET
cana-3361	130	15	values	value	NOUN
cana-3361	130	16	that	that	PRON
cana-3361	130	17	fall	fall	VERB
cana-3361	130	18	within	within	ADP
cana-3361	130	19	the	the	DET
cana-3361	130	20	range	range	NOUN
cana-3361	130	21	of	of	ADP
cana-3361	130	22	the	the	DET
cana-3361	130	23	number	number	NOUN
cana-3361	130	24	of	of	ADP
cana-3361	130	25	groups	group	NOUN
cana-3361	130	26	.	.	PUNCT
cana-3361	131	1	for	for	ADP
cana-3361	131	2	example	example	NOUN
cana-3361	131	3	each	each	DET
cana-3361	131	4	chromosome	chromosome	NOUN
cana-3361	131	5	consists	consist	VERB
cana-3361	131	6	of	of	ADP
cana-3361	131	7	6	6	NUM
cana-3361	131	8	thresold	thresold	PROPN
cana-3361	131	9	intensities	intensity	NOUN
cana-3361	131	10	values	value	NOUN
cana-3361	131	11	in	in	ADP
cana-3361	131	12	k=2	k=2	PROPN
cana-3361	131	13	clusters	cluster	NOUN
cana-3361	131	14	belongs	belong	VERB
cana-3361	131	15	to	to	ADP
cana-3361	131	16	red	red	ADJ
cana-3361	131	17	green	green	NOUN
cana-3361	131	18	and	and	CCONJ
cana-3361	131	19	blue	blue	ADJ
cana-3361	131	20	respectively	respectively	ADV
cana-3361	131	21	.	.	PUNCT
cana-3361	132	1	r1	r1	PROPN
cana-3361	132	2	r2	r2	PROPN
cana-3361	132	3	..	..	PUNCT
cana-3361	133	1	k	k	PROPN
cana-3361	133	2	g1	g1	PROPN
cana-3361	133	3	g2	g2	PROPN
cana-3361	133	4	..	..	PUNCT
cana-3361	133	5	k	k	PROPN
cana-3361	133	6	b1	b1	PROPN
cana-3361	133	7	b2	b2	PROPN
cana-3361	133	8	..	..	PUNCT
cana-3361	133	9	k	k	PROPN
cana-3361	133	10	.	.	PUNCT
cana-3361	133	11	.	.	PUNCT
cana-3361	134	1	r1	r1	PROPN
cana-3361	134	2	r2	r2	PROPN
cana-3361	134	3	..	..	PUNCT
cana-3361	135	1	n	n	X
cana-3361	135	2	g1	g1	PROPN
cana-3361	135	3	g2	g2	PROPN
cana-3361	135	4	..	..	PUNCT
cana-3361	135	5	n	n	PROPN
cana-3361	135	6	b1	b1	NOUN
cana-3361	135	7	b2	b2	NOUN
cana-3361	135	8	..	..	PUNCT
cana-3361	135	9	n	n	DET
cana-3361	135	10	fig	fig	NOUN
cana-3361	135	11	.	.	PUNCT
cana-3361	136	1	6.chromosome	6.chromosome	NUM
cana-3361	136	2	structures	structure	NOUN
cana-3361	136	3	2.4.2	2.4.2	NUM
cana-3361	136	4	fitness	fitness	NOUN
cana-3361	136	5	evaluation	evaluation	NOUN
cana-3361	136	6	the	the	DET
cana-3361	136	7	computation	computation	NOUN
cana-3361	136	8	of	of	ADP
cana-3361	136	9	fitness	fitness	NOUN
cana-3361	136	10	is	be	AUX
cana-3361	136	11	done	do	VERB
cana-3361	136	12	in	in	ADP
cana-3361	136	13	two	two	NUM
cana-3361	136	14	stages	stage	NOUN
cana-3361	136	15	.	.	PUNCT
cana-3361	137	1	stage	stage	NOUN
cana-3361	137	2	1	1	NUM
cana-3361	137	3	:	:	PUNCT
cana-3361	137	4	in	in	ADP
cana-3361	137	5	this	this	DET
cana-3361	137	6	stage	stage	NOUN
cana-3361	137	7	the	the	DET
cana-3361	137	8	pixels	pixel	NOUN
cana-3361	137	9	o	o	NOUN
cana-3361	137	10	image	image	NOUN
cana-3361	137	11	are	be	AUX
cana-3361	137	12	clusterd	clusterd	NOUN
cana-3361	137	13	based	base	VERB
cana-3361	137	14	on	on	ADP
cana-3361	137	15	centres	centre	NOUN
cana-3361	137	16	encoded	encode	VERB
cana-3361	137	17	in	in	ADP
cana-3361	137	18	chromosomes	chromosome	NOUN
cana-3361	137	19	such	such	ADJ
cana-3361	137	20	that	that	SCONJ
cana-3361	137	21	each	each	DET
cana-3361	137	22	value	value	NOUN
cana-3361	137	23	of	of	ADP
cana-3361	137	24	intensity	intensity	NOUN
cana-3361	137	25	xi(r	xi(r	PROPN
cana-3361	137	26	,	,	PUNCT
cana-3361	137	27	g	g	PROPN
cana-3361	137	28	,	,	PUNCT
cana-3361	137	29	b	b	NOUN
cana-3361	137	30	)	)	PUNCT
cana-3361	137	31	of	of	ADP
cana-3361	137	32	a	a	DET
cana-3361	137	33	color	color	NOUN
cana-3361	137	34	image	image	NOUN
cana-3361	137	35	combined	combine	VERB
cana-3361	137	36	with	with	ADP
cana-3361	137	37	three	three	NUM
cana-3361	137	38	components	component	NOUN
cana-3361	137	39	,	,	PUNCT
cana-3361	137	40	i.e.	i.e.	X
cana-3361	137	41	,	,	PUNCT
cana-3361	137	42	red	red	ADJ
cana-3361	137	43	,	,	PUNCT
cana-3361	137	44	green	green	ADJ
cana-3361	137	45	,	,	PUNCT
cana-3361	137	46	and	and	CCONJ
cana-3361	137	47	blue	blue	ADJ
cana-3361	137	48	(	(	PUNCT
cana-3361	137	49	24	24	NUM
cana-3361	137	50	bit	bit	NOUN
cana-3361	137	51	)	)	PUNCT
cana-3361	137	52	,	,	PUNCT
cana-3361	138	1	i	i	PRON
cana-3361	138	2	=	=	NOUN
cana-3361	138	3	1	1	NUM
cana-3361	138	4	,	,	PUNCT
cana-3361	138	5	2	2	NUM
cana-3361	138	6	,	,	PUNCT
cana-3361	138	7	...	...	PUNCT
cana-3361	138	8	,	,	PUNCT
cana-3361	138	9	m	m	VERB
cana-3361	138	10	x	x	PART
cana-3361	138	11	n	n	CCONJ
cana-3361	138	12	,	,	PUNCT
cana-3361	138	13	is	be	AUX
cana-3361	138	14	assigned	assign	VERB
cana-3361	138	15	to	to	PART
cana-3361	138	16	cluster	cluster	VERB
cana-3361	138	17	with	with	ADP
cana-3361	138	18	center	center	PROPN
cana-3361	138	19	zj(r	zj(r	NUM
cana-3361	138	20	,	,	PUNCT
cana-3361	138	21	g	g	PROPN
cana-3361	138	22	,	,	PUNCT
cana-3361	138	23	b	b	NOUN
cana-3361	138	24	)	)	PUNCT
cana-3361	138	25	,	,	PUNCT
cana-3361	138	26	j	j	PROPN
cana-3361	138	27	=	=	SYM
cana-3361	138	28	1	1	NUM
cana-3361	138	29	,	,	PUNCT
cana-3361	138	30	2	2	NUM
cana-3361	138	31	,	,	PUNCT
cana-3361	138	32	...	...	PUNCT
cana-3361	138	33	,	,	PUNCT
cana-3361	138	34	k.	k.	PROPN
cana-3361	139	1	if	if	SCONJ
cana-3361	139	2	p	p	PROPN
cana-3361	139	3	=	=	NOUN
cana-3361	139	4	1,2,	1,2,	NUM
cana-3361	139	5	...	...	PUNCT
cana-3361	139	6	,k	,k	PUNCT
cana-3361	139	7	,	,	PUNCT
cana-3361	139	8	and	and	CCONJ
cana-3361	139	9	p	p	PROPN
cana-3361	139	10	≠	≠	PROPN
cana-3361	139	11	j	j	PROPN
cana-3361	139	12	,	,	PUNCT
cana-3361	139	13	then	then	ADV
cana-3361	139	14	||	||	PROPN
cana-3361	139	15	xi(r	xi(r	PROPN
cana-3361	139	16	,	,	PUNCT
cana-3361	139	17	g	g	NOUN
cana-3361	139	18	,	,	PUNCT
cana-3361	139	19	b)zj(r	b)zj(r	PROPN
cana-3361	139	20	,	,	PUNCT
cana-3361	139	21	g	g	NOUN
cana-3361	139	22	,	,	PUNCT
cana-3361	139	23	b)||	b)||	NOUN
cana-3361	139	24	<	<	X
cana-3361	139	25	||	||	NOUN
cana-3361	139	26	xi(r	xi(r	PROPN
cana-3361	139	27	,	,	PUNCT
cana-3361	139	28	g	g	PROPN
cana-3361	139	29	,	,	PUNCT
cana-3361	139	30	b)-zp(r	b)-zp(r	PROPN
cana-3361	139	31	,	,	PUNCT
cana-3361	139	32	g	g	NOUN
cana-3361	139	33	,	,	PUNCT
cana-3361	139	34	b)||	b)||	NOUN
cana-3361	139	35	.	.	PUNCT
cana-3361	139	36	stage	stage	NOUN
cana-3361	139	37	2	2	NUM
cana-3361	139	38	:	:	PUNCT
cana-3361	139	39	in	in	ADP
cana-3361	139	40	this	this	DET
cana-3361	139	41	stage	stage	NOUN
cana-3361	139	42	,	,	PUNCT
cana-3361	139	43	mean	mean	VERB
cana-3361	139	44	points	point	NOUN
cana-3361	139	45	of	of	ADP
cana-3361	139	46	the	the	DET
cana-3361	139	47	corresponding	corresponding	ADJ
cana-3361	139	48	clusters	cluster	NOUN
cana-3361	139	49	are	be	AUX
cana-3361	139	50	used	use	VERB
cana-3361	139	51	to	to	PART
cana-3361	139	52	replace	replace	VERB
cana-3361	139	53	the	the	DET
cana-3361	139	54	values	value	NOUN
cana-3361	139	55	of	of	ADP
cana-3361	139	56	the	the	DET
cana-3361	139	57	cluster	cluster	NOUN
cana-3361	139	58	centers	center	NOUN
cana-3361	139	59	encoded	encode	VERB
cana-3361	139	60	in	in	ADP
cana-3361	139	61	the	the	DET
cana-3361	139	62	chromosome	chromosome	NOUN
cana-3361	139	63	.	.	PUNCT
cana-3361	140	1	eqn	eqn	PROPN
cana-3361	140	2	.	.	PUNCT
cana-3361	141	1	(	(	PUNCT
cana-3361	141	2	1	1	X
cana-3361	141	3	)	)	PUNCT
cana-3361	141	4	provides	provide	VERB
cana-3361	141	5	the	the	DET
cana-3361	141	6	cluster	cluster	NOUN
cana-3361	141	7	ci	ci	NOUN
cana-3361	141	8	's	's	PART
cana-3361	141	9	new	new	ADJ
cana-3361	141	10	center	center	NOUN
cana-3361	141	11	zi(r	zi(r	NOUN
cana-3361	141	12	,	,	PUNCT
cana-3361	141	13	g	g	PROPN
cana-3361	141	14	,	,	PUNCT
cana-3361	141	15	b	b	NOUN
cana-3361	141	16	)	)	PUNCT
cana-3361	141	17	.	.	PUNCT
cana-3361	142	1	𝑍𝑖(𝑟	𝑍𝑖(𝑟	PROPN
cana-3361	142	2	,	,	PUNCT
cana-3361	142	3	𝑔	𝑔	NOUN
cana-3361	142	4	,	,	PUNCT
cana-3361	142	5	𝑏	𝑏	NOUN
cana-3361	142	6	)	)	PUNCT
cana-3361	142	7	=	=	SYM
cana-3361	142	8	1	1	NUM
cana-3361	142	9	𝑛𝑖	𝑛𝑖	PROPN
cana-3361	142	10	∑	∑	PROPN
cana-3361	142	11	𝑋𝑗(𝑟	𝑋𝑗(𝑟	PROPN
cana-3361	142	12	,	,	PUNCT
cana-3361	142	13	𝑔	𝑔	NOUN
cana-3361	142	14	,	,	PUNCT
cana-3361	142	15	𝑏)𝑥𝑗∈𝐶𝑖	𝑏)𝑥𝑗∈𝐶𝑖	ADJ
cana-3361	142	16	(	(	PUNCT
cana-3361	142	17	1	1	X
cana-3361	142	18	)	)	PUNCT
cana-3361	142	19	the	the	DET
cana-3361	142	20	fitness	fitness	NOUN
cana-3361	142	21	metric	metric	NOUN
cana-3361	142	22	is	be	AUX
cana-3361	142	23	now	now	ADV
cana-3361	142	24	determined	determine	VERB
cana-3361	142	25	by	by	ADP
cana-3361	142	26	adding	add	VERB
cana-3361	142	27	up	up	ADP
cana-3361	142	28	the	the	DET
cana-3361	142	29	intra	intra	ADJ
cana-3361	142	30	-	-	ADJ
cana-3361	142	31	cluster	cluster	NOUN
cana-3361	142	32	spread	spread	NOUN
cana-3361	142	33	,	,	PUNCT
cana-3361	142	34	which	which	PRON
cana-3361	142	35	is	be	AUX
cana-3361	142	36	the	the	DET
cana-3361	142	37	sum	sum	NOUN
cana-3361	142	38	of	of	ADP
cana-3361	142	39	the	the	DET
cana-3361	142	40	euclidean	euclidean	ADJ
cana-3361	142	41	distances	distance	NOUN
cana-3361	142	42	between	between	ADP
cana-3361	142	43	each	each	DET
cana-3361	142	44	pixel	pixel	NOUN
cana-3361	142	45	and	and	CCONJ
cana-3361	142	46	its	its	PRON
cana-3361	142	47	corresponding	corresponding	ADJ
cana-3361	142	48	cluster	cluster	NOUN
cana-3361	142	49	,	,	PUNCT
cana-3361	142	50	given	give	VERB
cana-3361	142	51	by	by	ADP
cana-3361	142	52	eqn	eqn	NOUN
cana-3361	142	53	.	.	PUNCT
cana-3361	143	1	(	(	PUNCT
cana-3361	143	2	2	2	X
cana-3361	143	3	)	)	PUNCT
cana-3361	143	4	𝑀	𝑀	NOUN
cana-3361	143	5	=	=	PUNCT
cana-3361	144	1	∑	∑	PUNCT
cana-3361	144	2	𝑀𝑖	𝑀𝑖	PROPN
cana-3361	144	3	𝑘	𝑘	X
cana-3361	144	4	𝑖=1	𝑖=1	PUNCT
cana-3361	144	5	𝑀𝑖	𝑀𝑖	PROPN
cana-3361	144	6	=	=	SYM
cana-3361	144	7	∑	∑	PROPN
cana-3361	144	8	|(𝑥𝑗(𝑟	|(𝑥𝑗(𝑟	X
cana-3361	144	9	,	,	PUNCT
cana-3361	144	10	𝑔	𝑔	NOUN
cana-3361	144	11	,	,	PUNCT
cana-3361	144	12	𝑏	𝑏	NOUN
cana-3361	144	13	)	)	PUNCT
cana-3361	144	14	−	−	NOUN
cana-3361	145	1	𝑧𝑖(𝑟	𝑧𝑖(𝑟	NUM
cana-3361	145	2	,	,	PUNCT
cana-3361	145	3	𝑔	𝑔	NOUN
cana-3361	145	4	,	,	PUNCT
cana-3361	145	5	𝑏))|𝑥𝑗∈𝑐𝑖	𝑏))|𝑥𝑗∈𝑐𝑖	NOUN
cana-3361	145	6	(	(	PUNCT
cana-3361	145	7	2	2	X
cana-3361	145	8	)	)	PUNCT
cana-3361	145	9	communications	communication	NOUN
cana-3361	145	10	on	on	ADP
cana-3361	145	11	applied	apply	VERB
cana-3361	145	12	nonlinear	nonlinear	ADJ
cana-3361	145	13	analysis	analysis	NOUN
cana-3361	145	14	issn	issn	NOUN
cana-3361	145	15	:	:	PUNCT
cana-3361	145	16	1074	1074	NUM
cana-3361	145	17	-	-	PUNCT
cana-3361	145	18	133x	133x	NUM
cana-3361	145	19	vol	vol	NOUN
cana-3361	145	20	32	32	NUM
cana-3361	145	21	no	no	NOUN
cana-3361	145	22	.	.	PUNCT
cana-3361	146	1	7s	7	NOUN
cana-3361	146	2	(	(	PUNCT
cana-3361	146	3	2025	2025	NUM
cana-3361	146	4	)	)	PUNCT
cana-3361	146	5	53	53	NUM
cana-3361	146	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3361	146	7	2.4.3	2.4.3	NUM
cana-3361	146	8	selection	selection	NOUN
cana-3361	146	9	module	module	NOUN
cana-3361	146	10	this	this	DET
cana-3361	146	11	step	step	NOUN
cana-3361	146	12	of	of	ADP
cana-3361	146	13	ga	ga	PROPN
cana-3361	146	14	involves	involve	VERB
cana-3361	146	15	selecting	select	VERB
cana-3361	146	16	two	two	NUM
cana-3361	146	17	parent	parent	NOUN
cana-3361	146	18	chromosomes	chromosome	NOUN
cana-3361	146	19	from	from	ADP
cana-3361	146	20	the	the	DET
cana-3361	146	21	population	population	NOUN
cana-3361	146	22	based	base	VERB
cana-3361	146	23	on	on	ADP
cana-3361	146	24	their	their	PRON
cana-3361	146	25	fitness	fitness	NOUN
cana-3361	146	26	.	.	PUNCT
cana-3361	147	1	stochastic	stochastic	ADJ
cana-3361	147	2	universal	universal	ADJ
cana-3361	147	3	sampling	sampling	NOUN
cana-3361	147	4	selection	selection	NOUN
cana-3361	147	5	method	method	NOUN
cana-3361	147	6	has	have	AUX
cana-3361	147	7	been	be	AUX
cana-3361	147	8	used	use	VERB
cana-3361	147	9	for	for	ADP
cana-3361	147	10	choosing	choose	VERB
cana-3361	147	11	the	the	DET
cana-3361	147	12	singles	single	NOUN
cana-3361	147	13	with	with	ADP
cana-3361	147	14	the	the	DET
cana-3361	147	15	greatest	great	ADJ
cana-3361	147	16	fitness	fitness	NOUN
cana-3361	147	17	value	value	NOUN
cana-3361	147	18	and	and	CCONJ
cana-3361	147	19	those	those	PRON
cana-3361	147	20	are	be	AUX
cana-3361	147	21	moved	move	VERB
cana-3361	147	22	to	to	ADP
cana-3361	147	23	next	next	ADJ
cana-3361	147	24	generation	generation	NOUN
cana-3361	147	25	.	.	PUNCT
cana-3361	148	1	the	the	DET
cana-3361	148	2	steps	step	NOUN
cana-3361	148	3	involved	involve	VERB
cana-3361	148	4	in	in	ADP
cana-3361	148	5	this	this	DET
cana-3361	148	6	module	module	NOUN
cana-3361	148	7	of	of	ADP
cana-3361	148	8	selection	selection	NOUN
cana-3361	148	9	using	use	VERB
cana-3361	148	10	stochastic	stochastic	ADJ
cana-3361	148	11	universal	universal	ADJ
cana-3361	148	12	sampling	sampling	NOUN
cana-3361	148	13	are	be	AUX
cana-3361	148	14	as	as	SCONJ
cana-3361	148	15	follows	follow	NOUN
cana-3361	148	16	.	.	PUNCT
cana-3361	149	1	•	•	NUM
cana-3361	149	2	calculate	calculate	VERB
cana-3361	149	3	the	the	DET
cana-3361	149	4	average	average	ADJ
cana-3361	149	5	fitness	fitness	NOUN
cana-3361	149	6	,	,	PUNCT
cana-3361	149	7	denoted	denote	VERB
cana-3361	149	8	as	as	ADP
cana-3361	149	9	`	`	PUNCT
cana-3361	149	10	f_avg	f_avg	NOUN
cana-3361	149	11	`	`	NUM
cana-3361	149	12	,	,	PUNCT
cana-3361	149	13	of	of	ADP
cana-3361	149	14	the	the	DET
cana-3361	149	15	population	population	NOUN
cana-3361	149	16	.	.	PUNCT
cana-3361	150	1	•	•	NUM
cana-3361	150	2	choose	choose	VERB
cana-3361	150	3	a	a	DET
cana-3361	150	4	random	random	ADJ
cana-3361	150	5	starting	starting	NOUN
cana-3361	150	6	point	point	NOUN
cana-3361	150	7	between	between	ADP
cana-3361	150	8	0	0	NUM
cana-3361	150	9	and	and	CCONJ
cana-3361	150	10	`	`	PUNCT
cana-3361	150	11	f_avg	f_avg	NOUN
cana-3361	150	12	`	`	PUNCT
cana-3361	150	13	.	.	PUNCT
cana-3361	151	1	•	•	NUM
cana-3361	151	2	select	select	ADJ
cana-3361	151	3	individuals	individual	NOUN
cana-3361	151	4	by	by	ADP
cana-3361	151	5	iteratively	iteratively	ADV
cana-3361	151	6	adding	add	VERB
cana-3361	151	7	`	`	PUNCT
cana-3361	151	8	f_avg	f_avg	NOUN
cana-3361	151	9	`	`	PUNCT
cana-3361	151	10	to	to	ADP
cana-3361	151	11	the	the	DET
cana-3361	151	12	starting	starting	NOUN
cana-3361	151	13	point	point	NOUN
cana-3361	151	14	until	until	SCONJ
cana-3361	151	15	the	the	DET
cana-3361	151	16	population	population	NOUN
cana-3361	151	17	is	be	AUX
cana-3361	151	18	sampled	sample	VERB
cana-3361	151	19	.	.	PUNCT
cana-3361	152	1	•	•	NOUN
cana-3361	152	2	this	this	DET
cana-3361	152	3	method	method	NOUN
cana-3361	152	4	ensures	ensure	VERB
cana-3361	152	5	that	that	SCONJ
cana-3361	152	6	individuals	individual	NOUN
cana-3361	152	7	with	with	ADP
cana-3361	152	8	higher	high	ADJ
cana-3361	152	9	fitness	fitness	NOUN
cana-3361	152	10	have	have	VERB
cana-3361	152	11	a	a	DET
cana-3361	152	12	higher	high	ADJ
cana-3361	152	13	chance	chance	NOUN
cana-3361	152	14	of	of	ADP
cana-3361	152	15	being	be	AUX
cana-3361	152	16	selected	select	VERB
cana-3361	152	17	multiple	multiple	ADJ
cana-3361	152	18	times	time	NOUN
cana-3361	152	19	,	,	PUNCT
cana-3361	152	20	while	while	SCONJ
cana-3361	152	21	still	still	ADV
cana-3361	152	22	providing	provide	VERB
cana-3361	152	23	a	a	DET
cana-3361	152	24	chance	chance	NOUN
cana-3361	152	25	for	for	SCONJ
cana-3361	152	26	lower	low	ADJ
cana-3361	152	27	fitness	fitness	NOUN
cana-3361	152	28	individuals	individual	NOUN
cana-3361	152	29	to	to	PART
cana-3361	152	30	be	be	AUX
cana-3361	152	31	selected	select	VERB
cana-3361	152	32	.	.	PUNCT
cana-3361	153	1	2.4.4	2.4.4	NUM
cana-3361	153	2	crossover	crossover	NOUN
cana-3361	153	3	module	module	NOUN
cana-3361	153	4	the	the	DET
cana-3361	153	5	goal	goal	NOUN
cana-3361	153	6	of	of	ADP
cana-3361	153	7	crossover	crossover	NOUN
cana-3361	153	8	is	be	AUX
cana-3361	153	9	to	to	PART
cana-3361	153	10	create	create	VERB
cana-3361	153	11	new	new	ADJ
cana-3361	153	12	individuals	individual	NOUN
cana-3361	153	13	(	(	PUNCT
cana-3361	153	14	offspring	offspring	NOUN
cana-3361	153	15	)	)	PUNCT
cana-3361	153	16	by	by	ADP
cana-3361	153	17	exchanging	exchange	VERB
cana-3361	153	18	genetic	genetic	ADJ
cana-3361	153	19	information	information	NOUN
cana-3361	153	20	between	between	ADP
cana-3361	153	21	two	two	NUM
cana-3361	153	22	parent	parent	NOUN
cana-3361	153	23	individuals	individual	NOUN
cana-3361	153	24	.	.	PUNCT
cana-3361	154	1	this	this	DET
cana-3361	154	2	system	system	NOUN
cana-3361	154	3	uses	use	VERB
cana-3361	154	4	uniform	uniform	ADJ
cana-3361	154	5	linear	linear	PROPN
cana-3361	154	6	crossover	crossover	PROPN
cana-3361	154	7	,	,	PUNCT
cana-3361	154	8	with	with	ADP
cana-3361	154	9	a	a	DET
cana-3361	154	10	randomly	randomly	ADV
cana-3361	154	11	selected	select	VERB
cana-3361	154	12	crossover	crossover	ADP
cana-3361	154	13	point	point	NOUN
cana-3361	154	14	and	and	CCONJ
cana-3361	154	15	crossover	crossover	VERB
cana-3361	154	16	probability	probability	NOUN
cana-3361	154	17	0.9	0.9	NUM
cana-3361	154	18	.	.	PUNCT
cana-3361	155	1	the	the	DET
cana-3361	155	2	following	follow	VERB
cana-3361	155	3	are	be	AUX
cana-3361	155	4	the	the	DET
cana-3361	155	5	steps	step	NOUN
cana-3361	155	6	in	in	ADP
cana-3361	155	7	uniform	uniform	ADJ
cana-3361	155	8	crossover	crossover	NOUN
cana-3361	155	9	.	.	PUNCT
cana-3361	156	1	•	•	NUM
cana-3361	156	2	for	for	ADP
cana-3361	156	3	each	each	DET
cana-3361	156	4	gene	gene	NOUN
cana-3361	156	5	(	(	PUNCT
cana-3361	156	6	pixel	pixel	PROPN
cana-3361	156	7	)	)	PUNCT
cana-3361	156	8	in	in	ADP
cana-3361	156	9	the	the	DET
cana-3361	156	10	chromosome	chromosome	NOUN
cana-3361	156	11	,	,	PUNCT
cana-3361	156	12	a	a	DET
cana-3361	156	13	random	random	ADJ
cana-3361	156	14	number	number	NOUN
cana-3361	156	15	is	be	AUX
cana-3361	156	16	generated	generate	VERB
cana-3361	156	17	•	•	NOUN
cana-3361	156	18	if	if	SCONJ
cana-3361	156	19	the	the	DET
cana-3361	156	20	random	random	ADJ
cana-3361	156	21	number	number	NOUN
cana-3361	156	22	falls	fall	VERB
cana-3361	156	23	below	below	ADP
cana-3361	156	24	a	a	DET
cana-3361	156	25	predefined	predefine	VERB
cana-3361	156	26	probability	probability	NOUN
cana-3361	156	27	threshold	threshold	NOUN
cana-3361	156	28	,	,	PUNCT
cana-3361	156	29	exchange	exchange	VERB
cana-3361	156	30	the	the	DET
cana-3361	156	31	corresponding	correspond	VERB
cana-3361	156	32	genes	gene	NOUN
cana-3361	156	33	between	between	ADP
cana-3361	156	34	the	the	DET
cana-3361	156	35	parents	parent	NOUN
cana-3361	156	36	.	.	PUNCT
cana-3361	157	1	•	•	NUM
cana-3361	157	2	if	if	SCONJ
cana-3361	157	3	the	the	DET
cana-3361	157	4	random	random	ADJ
cana-3361	157	5	number	number	NOUN
cana-3361	157	6	is	be	AUX
cana-3361	157	7	above	above	ADP
cana-3361	157	8	the	the	DET
cana-3361	157	9	threshold	threshold	NOUN
cana-3361	157	10	,	,	PUNCT
cana-3361	157	11	keep	keep	VERB
cana-3361	157	12	the	the	DET
cana-3361	157	13	genes	gene	NOUN
cana-3361	157	14	from	from	ADP
cana-3361	157	15	the	the	DET
cana-3361	157	16	parents	parent	NOUN
cana-3361	157	17	unchanged	unchanged	ADJ
cana-3361	157	18	.	.	PUNCT
cana-3361	158	1	•	•	NUM
cana-3361	158	2	the	the	DET
cana-3361	158	3	exchanged	exchange	VERB
cana-3361	158	4	genes	gene	NOUN
cana-3361	158	5	create	create	VERB
cana-3361	158	6	two	two	NUM
cana-3361	158	7	offspring	offspring	NOUN
cana-3361	158	8	,	,	PUNCT
cana-3361	158	9	each	each	PRON
cana-3361	158	10	with	with	ADP
cana-3361	158	11	a	a	DET
cana-3361	158	12	combination	combination	NOUN
cana-3361	158	13	of	of	ADP
cana-3361	158	14	genetic	genetic	ADJ
cana-3361	158	15	information	information	NOUN
cana-3361	158	16	from	from	ADP
cana-3361	158	17	both	both	DET
cana-3361	158	18	parents	parent	NOUN
cana-3361	158	19	2.4.5	2.4.5	NUM
cana-3361	158	20	mutation	mutation	NOUN
cana-3361	158	21	the	the	DET
cana-3361	158	22	mutation	mutation	NOUN
cana-3361	158	23	operation	operation	NOUN
cana-3361	158	24	introduces	introduce	VERB
cana-3361	158	25	random	random	ADJ
cana-3361	158	26	changes	change	NOUN
cana-3361	158	27	to	to	ADP
cana-3361	158	28	the	the	DET
cana-3361	158	29	chromosomes	chromosome	NOUN
cana-3361	158	30	,	,	PUNCT
cana-3361	158	31	allowing	allow	VERB
cana-3361	158	32	the	the	DET
cana-3361	158	33	algorithm	algorithm	NOUN
cana-3361	158	34	to	to	PART
cana-3361	158	35	explore	explore	VERB
cana-3361	158	36	new	new	ADJ
cana-3361	158	37	regions	region	NOUN
cana-3361	158	38	of	of	ADP
cana-3361	158	39	the	the	DET
cana-3361	158	40	solution	solution	NOUN
cana-3361	158	41	space	space	NOUN
cana-3361	158	42	.	.	PUNCT
cana-3361	159	1	in	in	ADP
cana-3361	159	2	the	the	DET
cana-3361	159	3	context	context	NOUN
cana-3361	159	4	of	of	ADP
cana-3361	159	5	image	image	NOUN
cana-3361	159	6	segmentation	segmentation	NOUN
cana-3361	159	7	using	use	VERB
cana-3361	159	8	genetic	genetic	ADJ
cana-3361	159	9	algorithms	algorithm	NOUN
cana-3361	159	10	,	,	PUNCT
cana-3361	159	11	mutation	mutation	NOUN
cana-3361	159	12	is	be	AUX
cana-3361	159	13	applied	apply	VERB
cana-3361	159	14	to	to	ADP
cana-3361	159	15	individual	individual	ADJ
cana-3361	159	16	chromosomes	chromosome	NOUN
cana-3361	159	17	(	(	PUNCT
cana-3361	159	18	representing	represent	VERB
cana-3361	159	19	potential	potential	ADJ
cana-3361	159	20	segmentation	segmentation	NOUN
cana-3361	159	21	solutions	solution	NOUN
cana-3361	159	22	)	)	PUNCT
cana-3361	159	23	to	to	PART
cana-3361	159	24	explore	explore	VERB
cana-3361	159	25	new	new	ADJ
cana-3361	159	26	possibilities	possibility	NOUN
cana-3361	159	27	and	and	CCONJ
cana-3361	159	28	prevent	prevent	VERB
cana-3361	159	29	the	the	DET
cana-3361	159	30	algorithm	algorithm	NOUN
cana-3361	159	31	from	from	ADP
cana-3361	159	32	getting	getting	AUX
cana-3361	159	33	stuck	stick	VERB
cana-3361	159	34	in	in	ADP
cana-3361	159	35	local	local	ADJ
cana-3361	159	36	optima	optima	NOUN
cana-3361	159	37	.	.	PUNCT
cana-3361	160	1	the	the	DET
cana-3361	160	2	mutation	mutation	NOUN
cana-3361	160	3	involve	involve	VERB
cana-3361	160	4	flipping	flip	VERB
cana-3361	160	5	the	the	DET
cana-3361	160	6	state	state	NOUN
cana-3361	160	7	of	of	ADP
cana-3361	160	8	a	a	DET
cana-3361	160	9	pixel	pixel	NOUN
cana-3361	160	10	(	(	PUNCT
cana-3361	160	11	changing	change	VERB
cana-3361	160	12	it	it	PRON
cana-3361	160	13	from	from	ADP
cana-3361	160	14	foreground	foreground	NOUN
cana-3361	160	15	to	to	ADP
cana-3361	160	16	background	background	NOUN
cana-3361	160	17	or	or	CCONJ
cana-3361	160	18	vice	vice	NOUN
cana-3361	160	19	versa	versa	ADV
cana-3361	160	20	)	)	PUNCT
cana-3361	160	21	or	or	CCONJ
cana-3361	160	22	modifying	modify	VERB
cana-3361	160	23	its	its	PRON
cana-3361	160	24	value	value	NOUN
cana-3361	160	25	with	with	ADP
cana-3361	160	26	the	the	DET
cana-3361	160	27	default	default	NOUN
cana-3361	160	28	probability	probability	NOUN
cana-3361	160	29	between	between	ADP
cana-3361	160	30	0	0	NUM
cana-3361	160	31	to	to	PART
cana-3361	160	32	1	1	NUM
cana-3361	160	33	.	.	X
cana-3361	160	34	2.4.6	2.4.6	NUM
cana-3361	160	35	replacement	replacement	NOUN
cana-3361	160	36	•	•	NOUN
cana-3361	160	37	evaluate	evaluate	VERB
cana-3361	160	38	the	the	DET
cana-3361	160	39	fitness	fitness	NOUN
cana-3361	160	40	of	of	ADP
cana-3361	160	41	the	the	DET
cana-3361	160	42	newly	newly	ADV
cana-3361	160	43	created	create	VERB
cana-3361	160	44	offspring	offspring	NOUN
cana-3361	160	45	based	base	VERB
cana-3361	160	46	on	on	ADP
cana-3361	160	47	how	how	SCONJ
cana-3361	160	48	well	well	ADV
cana-3361	160	49	they	they	PRON
cana-3361	160	50	perform	perform	VERB
cana-3361	160	51	in	in	ADP
cana-3361	160	52	terms	term	NOUN
cana-3361	160	53	of	of	ADP
cana-3361	160	54	image	image	NOUN
cana-3361	160	55	segmentation	segmentation	NOUN
cana-3361	160	56	.	.	PUNCT
cana-3361	161	1	•	•	NUM
cana-3361	161	2	replace	replace	VERB
cana-3361	161	3	less	less	ADV
cana-3361	161	4	fit	fit	ADJ
cana-3361	161	5	individuals	individual	NOUN
cana-3361	161	6	in	in	ADP
cana-3361	161	7	the	the	DET
cana-3361	161	8	current	current	ADJ
cana-3361	161	9	population	population	NOUN
cana-3361	161	10	with	with	ADP
cana-3361	161	11	the	the	DET
cana-3361	161	12	newly	newly	ADV
cana-3361	161	13	created	create	VERB
cana-3361	161	14	offspring	offspring	NOUN
cana-3361	161	15	.	.	PUNCT
cana-3361	162	1	communications	communication	NOUN
cana-3361	162	2	on	on	ADP
cana-3361	162	3	applied	apply	VERB
cana-3361	162	4	nonlinear	nonlinear	ADJ
cana-3361	162	5	analysis	analysis	NOUN
cana-3361	162	6	issn	issn	NOUN
cana-3361	162	7	:	:	PUNCT
cana-3361	162	8	1074	1074	NUM
cana-3361	162	9	-	-	PUNCT
cana-3361	162	10	133x	133x	NUM
cana-3361	162	11	vol	vol	NOUN
cana-3361	162	12	32	32	NUM
cana-3361	162	13	no	no	NOUN
cana-3361	162	14	.	.	PUNCT
cana-3361	163	1	7s	7	NOUN
cana-3361	163	2	(	(	PUNCT
cana-3361	163	3	2025	2025	NUM
cana-3361	163	4	)	)	PUNCT
cana-3361	163	5	54	54	NUM
cana-3361	163	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-3361	163	7	2.4.7	2.4.7	NUM
cana-3361	163	8	termination	termination	NOUN
cana-3361	163	9	criterion	criterion	NOUN
cana-3361	163	10	here	here	ADV
cana-3361	163	11	the	the	DET
cana-3361	163	12	ga	ga	NOUN
cana-3361	163	13	steps	step	NOUN
cana-3361	163	14	such	such	ADJ
cana-3361	163	15	as	as	ADP
cana-3361	163	16	selection	selection	NOUN
cana-3361	163	17	,	,	PUNCT
cana-3361	163	18	crossover	crossover	NOUN
cana-3361	163	19	,	,	PUNCT
cana-3361	163	20	mutation	mutation	NOUN
cana-3361	163	21	and	and	CCONJ
cana-3361	163	22	replacement	replacement	NOUN
cana-3361	163	23	are	be	AUX
cana-3361	163	24	repeated	repeat	VERB
cana-3361	163	25	for	for	ADP
cana-3361	163	26	several	several	ADJ
cana-3361	163	27	generations	generation	NOUN
cana-3361	163	28	until	until	SCONJ
cana-3361	163	29	a	a	DET
cana-3361	163	30	termination	termination	NOUN
cana-3361	163	31	criterion	criterion	NOUN
cana-3361	163	32	is	be	AUX
cana-3361	163	33	met	meet	VERB
cana-3361	163	34	.	.	PUNCT
cana-3361	164	1	here	here	ADV
cana-3361	164	2	maximum	maximum	ADJ
cana-3361	164	3	number	number	NOUN
cana-3361	164	4	of	of	ADP
cana-3361	164	5	generations	generation	NOUN
cana-3361	164	6	10	10	NUM
cana-3361	164	7	is	be	AUX
cana-3361	164	8	taken	take	VERB
cana-3361	164	9	as	as	ADP
cana-3361	164	10	termination	termination	NOUN
cana-3361	164	11	criteria	criterion	NOUN
cana-3361	164	12	.	.	PUNCT
cana-3361	165	1	at	at	ADP
cana-3361	165	2	each	each	DET
cana-3361	165	3	iteration	iteration	NOUN
cana-3361	165	4	the	the	DET
cana-3361	165	5	fitness	fitness	NOUN
cana-3361	165	6	is	be	AUX
cana-3361	165	7	modified	modify	VERB
cana-3361	165	8	as	as	SCONJ
cana-3361	165	9	shown	show	VERB
cana-3361	165	10	in	in	ADP
cana-3361	165	11	figure	figure	NOUN
cana-3361	165	12	7	7	NUM
cana-3361	165	13	.	.	PUNCT
cana-3361	166	1	the	the	DET
cana-3361	166	2	bestsegmented	bestsegmented	ADJ
cana-3361	166	3	solution	solution	NOUN
cana-3361	166	4	found	find	VERB
cana-3361	166	5	in	in	ADP
cana-3361	166	6	the	the	DET
cana-3361	166	7	final	final	ADJ
cana-3361	166	8	population	population	NOUN
cana-3361	166	9	is	be	AUX
cana-3361	166	10	considered	consider	VERB
cana-3361	166	11	the	the	DET
cana-3361	166	12	output	output	NOUN
cana-3361	166	13	of	of	ADP
cana-3361	166	14	the	the	DET
cana-3361	166	15	genetic	genetic	ADJ
cana-3361	166	16	algorithm	algorithm	NOUN
cana-3361	166	17	for	for	ADP
cana-3361	166	18	image	image	NOUN
cana-3361	166	19	segmentation	segmentation	NOUN
cana-3361	166	20	and	and	CCONJ
cana-3361	166	21	the	the	DET
cana-3361	166	22	final	final	ADJ
cana-3361	166	23	k	k	NOUN
cana-3361	166	24	-	-	PUNCT
cana-3361	166	25	means	means	NOUN
cana-3361	166	26	ga	ga	NOUN
cana-3361	166	27	output	output	NOUN
cana-3361	166	28	is	be	AUX
cana-3361	166	29	given	give	VERB
cana-3361	166	30	in	in	ADP
cana-3361	166	31	figure	figure	NOUN
cana-3361	166	32	8	8	NUM
cana-3361	166	33	.	.	PUNCT
cana-3361	166	34	fig	fig	NOUN
cana-3361	166	35	.	.	PUNCT
cana-3361	167	1	7	7	X
cana-3361	167	2	.	.	X
cana-3361	167	3	varying	vary	VERB
cana-3361	167	4	fitness	fitness	PROPN
cana-3361	167	5	f	f	PROPN
cana-3361	167	6	fig	fig	PROPN
cana-3361	167	7	.	.	PUNCT
cana-3361	168	1	8	8	NUM
cana-3361	168	2	.	.	PUNCT
cana-3361	169	1	k	k	X
cana-3361	169	2	-	-	PUNCT
cana-3361	169	3	mean	mean	ADJ
cana-3361	169	4	ga	ga	PROPN
cana-3361	169	5	output	output	NOUN
cana-3361	169	6	2.4	2.4	NUM
cana-3361	169	7	object	object	NOUN
cana-3361	169	8	extraction	extraction	NOUN
cana-3361	169	9	using	use	VERB
cana-3361	169	10	the	the	DET
cana-3361	169	11	processed	process	VERB
cana-3361	169	12	masks	mask	NOUN
cana-3361	169	13	obtained	obtain	VERB
cana-3361	169	14	from	from	ADP
cana-3361	169	15	ga	ga	PROPN
cana-3361	169	16	the	the	DET
cana-3361	169	17	individual	individual	ADJ
cana-3361	169	18	objects	object	NOUN
cana-3361	169	19	are	be	AUX
cana-3361	169	20	extracted	extract	VERB
cana-3361	169	21	from	from	ADP
cana-3361	169	22	the	the	DET
cana-3361	169	23	original	original	ADJ
cana-3361	169	24	images	image	NOUN
cana-3361	169	25	as	as	SCONJ
cana-3361	169	26	shown	show	VERB
cana-3361	169	27	in	in	ADP
cana-3361	169	28	figure	figure	NOUN
cana-3361	169	29	9	9	NUM
cana-3361	169	30	.	.	PUNCT
cana-3361	170	1	this	this	PRON
cana-3361	170	2	can	can	AUX
cana-3361	170	3	be	be	AUX
cana-3361	170	4	done	do	VERB
cana-3361	170	5	by	by	ADP
cana-3361	170	6	multiplying	multiply	VERB
cana-3361	170	7	the	the	DET
cana-3361	170	8	original	original	ADJ
cana-3361	170	9	image	image	NOUN
cana-3361	170	10	with	with	ADP
cana-3361	170	11	the	the	DET
cana-3361	170	12	binary	binary	PROPN
cana-3361	170	13	mask	mask	NOUN
cana-3361	170	14	for	for	ADP
cana-3361	170	15	each	each	DET
cana-3361	170	16	object	object	NOUN
cana-3361	170	17	.	.	PUNCT
cana-3361	171	1	fig	fig	NOUN
cana-3361	171	2	.	.	PUNCT
cana-3361	172	1	9	9	X
cana-3361	172	2	.	.	X
cana-3361	172	3	final	final	ADJ
cana-3361	172	4	output	output	NOUN
cana-3361	172	5	3.results	3.results	NUM
cana-3361	172	6	and	and	CCONJ
cana-3361	172	7	discussions	discussion	NOUN
cana-3361	172	8	ideally	ideally	ADV
cana-3361	172	9	,	,	PUNCT
cana-3361	172	10	a	a	DET
cana-3361	172	11	model	model	NOUN
cana-3361	172	12	should	should	AUX
cana-3361	172	13	be	be	AUX
cana-3361	172	14	evaluated	evaluate	VERB
cana-3361	172	15	across	across	ADP
cana-3361	172	16	multiple	multiple	ADJ
cana-3361	172	17	dimensions	dimension	NOUN
cana-3361	172	18	,	,	PUNCT
cana-3361	172	19	including	include	VERB
cana-3361	172	20	quantitative	quantitative	ADJ
cana-3361	172	21	accuracy	accuracy	NOUN
cana-3361	172	22	,	,	PUNCT
cana-3361	172	23	inference	inference	NOUN
cana-3361	172	24	speed	speed	NOUN
cana-3361	172	25	,	,	PUNCT
cana-3361	172	26	and	and	CCONJ
cana-3361	172	27	memory	memory	NOUN
cana-3361	172	28	efficiency	efficiency	NOUN
cana-3361	172	29	.	.	PUNCT
cana-3361	173	1	however	however	ADV
cana-3361	173	2	,	,	PUNCT
cana-3361	173	3	most	most	ADJ
cana-3361	173	4	existing	exist	VERB
cana-3361	173	5	research	research	NOUN
cana-3361	173	6	primarily	primarily	ADV
cana-3361	173	7	emphasizes	emphasize	VERB
cana-3361	173	8	metrics	metric	NOUN
cana-3361	173	9	like	like	ADP
cana-3361	173	10	iou	iou	NOUN
cana-3361	173	11	(	(	PUNCT
cana-3361	173	12	intersection	intersection	NOUN
cana-3361	173	13	over	over	ADP
cana-3361	173	14	union	union	NOUN
cana-3361	173	15	)	)	PUNCT
cana-3361	173	16	,	,	PUNCT
cana-3361	173	17	pixel	pixel	PROPN
cana-3361	173	18	accuracy	accuracy	NOUN
cana-3361	173	19	,	,	PUNCT
cana-3361	173	20	mean	mean	PROPN
cana-3361	173	21	pixel	pixel	PROPN
cana-3361	173	22	accuracy	accuracy	NOUN
cana-3361	173	23	,	,	PUNCT
cana-3361	173	24	dice	dice	NOUN
cana-3361	173	25	coefficient	coefficient	NOUN
cana-3361	173	26	(	(	PUNCT
cana-3361	173	27	f1	f1	NOUN
cana-3361	173	28	score	score	NOUN
cana-3361	173	29	)	)	PUNCT
cana-3361	173	30	,	,	PUNCT
cana-3361	173	31	precision	precision	NOUN
cana-3361	173	32	,	,	PUNCT
cana-3361	173	33	recall	recall	NOUN
cana-3361	173	34	,	,	PUNCT
cana-3361	173	35	mean	mean	ADV
cana-3361	173	36	iou	iou	NOUN
cana-3361	173	37	(	(	PUNCT
cana-3361	173	38	miou	miou	NOUN
cana-3361	173	39	)	)	PUNCT
cana-3361	173	40	,	,	PUNCT
cana-3361	173	41	boundary	boundary	ADJ
cana-3361	173	42	iou	iou	PROPN
cana-3361	173	43	(	(	PUNCT
cana-3361	173	44	biou	biou	NOUN
cana-3361	173	45	)	)	PUNCT
cana-3361	173	46	,	,	PUNCT
cana-3361	173	47	pixel	pixel	ADJ
cana-3361	173	48	-	-	ADJ
cana-3361	173	49	wise	wise	ADJ
cana-3361	173	50	precision	precision	NOUN
cana-3361	173	51	and	and	CCONJ
cana-3361	173	52	recall	recall	NOUN
cana-3361	173	53	and	and	CCONJ
cana-3361	173	54	many	many	ADJ
cana-3361	173	55	more	more	ADJ
cana-3361	173	56	for	for	ADP
cana-3361	173	57	evaluation	evaluation	NOUN
cana-3361	173	58	.	.	PUNCT
cana-3361	174	1	below	below	ADV
cana-3361	174	2	,	,	PUNCT
cana-3361	174	3	we	we	PRON
cana-3361	174	4	outline	outline	VERB
cana-3361	174	5	the	the	DET
cana-3361	174	6	most	most	ADV
cana-3361	174	7	commonly	commonly	ADV
cana-3361	174	8	used	use	VERB
cana-3361	174	9	metrics	metric	NOUN
cana-3361	174	10	for	for	ADP
cana-3361	174	11	measuring	measure	VERB
cana-3361	174	12	the	the	DET
cana-3361	174	13	accuracy	accuracy	NOUN
cana-3361	174	14	of	of	ADP
cana-3361	174	15	segmentation	segmentation	NOUN
cana-3361	174	16	algorithms	algorithm	NOUN
cana-3361	174	17	.	.	PUNCT
cana-3361	175	1	the	the	DET
cana-3361	175	2	proposed	propose	VERB
cana-3361	175	3	algorithm	algorithm	NOUN
cana-3361	175	4	has	have	AUX
cana-3361	175	5	been	be	AUX
cana-3361	175	6	compared	compare	VERB
cana-3361	175	7	with	with	ADP
cana-3361	175	8	the	the	DET
cana-3361	175	9	most	most	ADV
cana-3361	175	10	popular	popular	ADJ
cana-3361	175	11	watershed	watershe	VERB
cana-3361	175	12	segmentation	segmentation	NOUN
cana-3361	175	13	algorithm	algorithm	NOUN
cana-3361	175	14	using	use	VERB
cana-3361	175	15	these	these	DET
cana-3361	175	16	metrics	metric	NOUN
cana-3361	175	17	and	and	CCONJ
cana-3361	175	18	the	the	DET
cana-3361	175	19	results	result	NOUN
cana-3361	175	20	are	be	AUX
cana-3361	175	21	shown	show	VERB
cana-3361	175	22	in	in	ADP
cana-3361	175	23	the	the	DET
cana-3361	175	24	table	table	NOUN
cana-3361	175	25	1	1	NUM
cana-3361	175	26	.	.	PUNCT
cana-3361	176	1	also	also	ADV
cana-3361	176	2	the	the	DET
cana-3361	176	3	visual	visual	ADJ
cana-3361	176	4	segmentation	segmentation	NOUN
cana-3361	176	5	differences	difference	NOUN
cana-3361	176	6	between	between	ADP
cana-3361	176	7	proposed	propose	VERB
cana-3361	176	8	algorithm	algorithm	NOUN
cana-3361	176	9	and	and	CCONJ
cana-3361	176	10	watershed	watershe	VERB
cana-3361	176	11	algorithm	algorithm	NOUN
cana-3361	176	12	are	be	AUX
cana-3361	176	13	shown	show	VERB
cana-3361	176	14	in	in	ADP
cana-3361	176	15	table	table	NOUN
cana-3361	176	16	2	2	NUM
cana-3361	176	17	.	.	PUNCT
cana-3361	176	18	first	first	ADJ
cana-3361	176	19	seven	seven	NUM
cana-3361	176	20	images	image	NOUN
cana-3361	176	21	in	in	ADP
cana-3361	176	22	table	table	NOUN
cana-3361	176	23	2	2	NUM
cana-3361	176	24	are	be	AUX
cana-3361	176	25	from	from	ADP
cana-3361	176	26	caltech	caltech	PROPN
cana-3361	176	27	home	home	NOUN
cana-3361	176	28	object	object	NOUN
cana-3361	176	29	dataset	dataset	NOUN
cana-3361	176	30	and	and	CCONJ
cana-3361	176	31	last	last	ADJ
cana-3361	176	32	4	4	NUM
cana-3361	176	33	images	image	NOUN
cana-3361	176	34	are	be	AUX
cana-3361	176	35	real	real	ADV
cana-3361	176	36	captured	capture	VERB
cana-3361	176	37	images	image	NOUN
cana-3361	176	38	.	.	PUNCT
cana-3361	177	1	communications	communication	NOUN
cana-3361	177	2	on	on	ADP
cana-3361	177	3	applied	apply	VERB
cana-3361	177	4	nonlinear	nonlinear	ADJ
cana-3361	177	5	analysis	analysis	NOUN
cana-3361	177	6	issn	issn	NOUN
cana-3361	177	7	:	:	PUNCT
cana-3361	177	8	1074	1074	NUM
cana-3361	177	9	-	-	PUNCT
cana-3361	177	10	133x	133x	NUM
cana-3361	177	11	vol	vol	NOUN
cana-3361	177	12	32	32	NUM
cana-3361	177	13	no	no	NOUN
cana-3361	177	14	.	.	PUNCT
cana-3361	178	1	7s	7	NOUN
cana-3361	178	2	(	(	PUNCT
cana-3361	178	3	2025	2025	NUM
cana-3361	178	4	)	)	PUNCT
cana-3361	178	5	55	55	NUM
cana-3361	178	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3361	178	7	pixel	pixel	PROPN
cana-3361	178	8	accuracy	accuracy	NOUN
cana-3361	178	9	(	(	PUNCT
cana-3361	178	10	pa	pa	NOUN
cana-3361	178	11	)	)	PUNCT
cana-3361	178	12	measures	measure	VERB
cana-3361	178	13	the	the	DET
cana-3361	178	14	ratio	ratio	NOUN
cana-3361	178	15	of	of	ADP
cana-3361	178	16	correctly	correctly	ADV
cana-3361	178	17	classified	classify	VERB
cana-3361	178	18	pixels	pixel	NOUN
cana-3361	178	19	to	to	ADP
cana-3361	178	20	the	the	DET
cana-3361	178	21	total	total	ADJ
cana-3361	178	22	number	number	NOUN
cana-3361	178	23	of	of	ADP
cana-3361	178	24	pixels	pixel	NOUN
cana-3361	178	25	.	.	PUNCT
cana-3361	179	1	for	for	ADP
cana-3361	179	2	k+1	k+1	PRON
cana-3361	179	3	classes	class	NOUN
cana-3361	179	4	,	,	PUNCT
cana-3361	179	5	including	include	VERB
cana-3361	179	6	k	k	PROPN
cana-3361	179	7	foreground	foreground	PROPN
cana-3361	179	8	classes	class	NOUN
cana-3361	179	9	and	and	CCONJ
cana-3361	179	10	a	a	DET
cana-3361	179	11	background	background	NOUN
cana-3361	179	12	class	class	NOUN
cana-3361	179	13	,	,	PUNCT
cana-3361	179	14	it	it	PRON
cana-3361	179	15	is	be	AUX
cana-3361	179	16	defined	define	VERB
cana-3361	179	17	as	as	SCONJ
cana-3361	179	18	shown	show	VERB
cana-3361	179	19	in	in	ADP
cana-3361	179	20	eq.(3	eq.(3	NOUN
cana-3361	179	21	)	)	PUNCT
cana-3361	179	22	.	.	PUNCT
cana-3361	180	1	𝑃𝐴	𝑃𝐴	PROPN
cana-3361	180	2	=	=	PUNCT
cana-3361	180	3	∑	∑	PUNCT
cana-3361	180	4	𝑃𝑖𝑖	𝑃𝑖𝑖	NOUN
cana-3361	180	5	𝑘	𝑘	ADP
cana-3361	180	6	𝑖=0	𝑖=0	PROPN
cana-3361	180	7	∑	∑	ADP
cana-3361	180	8	∑	∑	PROPN
cana-3361	180	9	𝑃𝑖𝑗	𝑃𝑖𝑗	PROPN
cana-3361	180	10	𝑘	𝑘	ADP
cana-3361	180	11	𝑗=0	𝑗=0	PROPN
cana-3361	180	12	𝑘	𝑘	PRON
cana-3361	180	13	𝑖=0	𝑖=0	PROPN
cana-3361	180	14	(	(	PUNCT
cana-3361	180	15	3	3	NUM
cana-3361	180	16	)	)	PUNCT
cana-3361	180	17	here	here	ADV
cana-3361	180	18	,	,	PUNCT
cana-3361	180	19	𝑃𝑖𝑗	𝑃𝑖𝑗	PROPN
cana-3361	180	20	represents	represent	VERB
cana-3361	180	21	the	the	DET
cana-3361	180	22	numbers	number	NOUN
cana-3361	180	23	of	of	ADP
cana-3361	180	24	pixels	pixel	NOUN
cana-3361	180	25	from	from	ADP
cana-3361	180	26	class	class	NOUN
cana-3361	180	27	i	i	PRON
cana-3361	180	28	that	that	PRON
cana-3361	180	29	are	be	AUX
cana-3361	180	30	predicted	predict	VERB
cana-3361	180	31	to	to	PART
cana-3361	180	32	belong	belong	VERB
cana-3361	180	33	to	to	ADP
cana-3361	180	34	class	class	NOUN
cana-3361	180	35	j.	j.	PROPN
cana-3361	180	36	intersection	intersection	PROPN
cana-3361	180	37	over	over	ADP
cana-3361	180	38	union	union	NOUN
cana-3361	180	39	(	(	PUNCT
cana-3361	180	40	iou	iou	PROPN
cana-3361	180	41	)	)	PUNCT
cana-3361	180	42	,	,	PUNCT
cana-3361	180	43	also	also	ADV
cana-3361	180	44	referred	refer	VERB
cana-3361	180	45	to	to	ADP
cana-3361	180	46	as	as	ADP
cana-3361	180	47	the	the	DET
cana-3361	180	48	jaccard	jaccard	PROPN
cana-3361	180	49	index	index	PROPN
cana-3361	180	50	,	,	PUNCT
cana-3361	180	51	is	be	AUX
cana-3361	180	52	a	a	DET
cana-3361	180	53	widely	widely	ADV
cana-3361	180	54	adopted	adopt	VERB
cana-3361	180	55	metric	metric	ADJ
cana-3361	180	56	for	for	ADP
cana-3361	180	57	semantic	semantic	ADJ
cana-3361	180	58	segmentation1	segmentation1	NOUN
cana-3361	180	59	.	.	PUNCT
cana-3361	181	1	it	it	PRON
cana-3361	181	2	is	be	AUX
cana-3361	181	3	defined	define	VERB
cana-3361	181	4	as	as	ADP
cana-3361	181	5	the	the	DET
cana-3361	181	6	ratio	ratio	NOUN
cana-3361	181	7	of	of	ADP
cana-3361	181	8	the	the	DET
cana-3361	181	9	overlap	overlap	NOUN
cana-3361	181	10	area	area	NOUN
cana-3361	181	11	between	between	ADP
cana-3361	181	12	the	the	DET
cana-3361	181	13	predicted	predict	VERB
cana-3361	181	14	segmentation	segmentation	NOUN
cana-3361	181	15	map	map	NOUN
cana-3361	181	16	and	and	CCONJ
cana-3361	181	17	the	the	DET
cana-3361	181	18	ground	ground	NOUN
cana-3361	181	19	truth	truth	NOUN
cana-3361	181	20	to	to	ADP
cana-3361	181	21	the	the	DET
cana-3361	181	22	total	total	ADJ
cana-3361	181	23	area	area	NOUN
cana-3361	181	24	covered	cover	VERB
cana-3361	181	25	by	by	ADP
cana-3361	181	26	their	their	PRON
cana-3361	181	27	union	union	NOUN
cana-3361	181	28	as	as	SCONJ
cana-3361	181	29	shown	show	VERB
cana-3361	181	30	in	in	ADP
cana-3361	181	31	eq	eq	ADP
cana-3361	181	32	.	.	PUNCT
cana-3361	182	1	(	(	PUNCT
cana-3361	182	2	4	4	NUM
cana-3361	182	3	)	)	PUNCT
cana-3361	182	4	.	.	PUNCT
cana-3361	183	1	𝐼𝑜𝑈	𝐼𝑜𝑈	NOUN
cana-3361	183	2	=	=	SYM
cana-3361	184	1	𝐽(𝐴	𝐽(𝐴	PROPN
cana-3361	184	2	,	,	PUNCT
cana-3361	184	3	𝐵	𝐵	NOUN
cana-3361	184	4	)	)	PUNCT
cana-3361	184	5	=	=	SYM
cana-3361	184	6	|𝐴∩𝐵|	|𝐴∩𝐵|	VERB
cana-3361	184	7	|𝐴∪𝐵|	|𝐴∪𝐵|	ADV
cana-3361	184	8	(	(	PUNCT
cana-3361	184	9	4	4	NUM
cana-3361	184	10	)	)	PUNCT
cana-3361	184	11	here	here	ADV
cana-3361	184	12	,	,	PUNCT
cana-3361	184	13	a	a	PRON
cana-3361	184	14	represents	represent	VERB
cana-3361	184	15	the	the	DET
cana-3361	184	16	ground	ground	NOUN
cana-3361	184	17	truth	truth	NOUN
cana-3361	184	18	,	,	PUNCT
cana-3361	184	19	and	and	CCONJ
cana-3361	184	20	b	b	NOUN
cana-3361	184	21	represents	represent	VERB
cana-3361	184	22	the	the	DET
cana-3361	184	23	predicted	predict	VERB
cana-3361	184	24	segmentation	segmentation	NOUN
cana-3361	184	25	map	map	NOUN
cana-3361	184	26	.	.	PUNCT
cana-3361	185	1	the	the	DET
cana-3361	185	2	value	value	NOUN
cana-3361	185	3	of	of	ADP
cana-3361	185	4	iou	iou	NOUN
cana-3361	185	5	ranges	range	VERB
cana-3361	185	6	from	from	ADP
cana-3361	185	7	0	0	NUM
cana-3361	185	8	to	to	PART
cana-3361	185	9	1	1	NUM
cana-3361	185	10	.	.	PUNCT
cana-3361	186	1	precision	precision	NOUN
cana-3361	186	2	(	(	PUNCT
cana-3361	186	3	p	p	NOUN
cana-3361	186	4	)	)	PUNCT
cana-3361	186	5	,	,	PUNCT
cana-3361	186	6	recall	recall	INTJ
cana-3361	186	7	(	(	PUNCT
cana-3361	186	8	r	r	NOUN
cana-3361	186	9	)	)	PUNCT
cana-3361	186	10	,	,	PUNCT
cana-3361	186	11	and	and	CCONJ
cana-3361	186	12	f1	f1	NOUN
cana-3361	186	13	score	score	NOUN
cana-3361	186	14	are	be	AUX
cana-3361	186	15	widely	widely	ADV
cana-3361	186	16	used	use	VERB
cana-3361	186	17	metrics	metric	NOUN
cana-3361	186	18	for	for	ADP
cana-3361	186	19	evaluating	evaluate	VERB
cana-3361	186	20	the	the	DET
cana-3361	186	21	accuracy	accuracy	NOUN
cana-3361	186	22	of	of	ADP
cana-3361	186	23	classical	classical	ADJ
cana-3361	186	24	image	image	NOUN
cana-3361	186	25	segmentation	segmentation	NOUN
cana-3361	186	26	models	model	NOUN
cana-3361	186	27	.	.	PUNCT
cana-3361	187	1	these	these	DET
cana-3361	187	2	metrics	metric	NOUN
cana-3361	187	3	can	can	AUX
cana-3361	187	4	be	be	AUX
cana-3361	187	5	calculated	calculate	VERB
cana-3361	187	6	for	for	ADP
cana-3361	187	7	individual	individual	ADJ
cana-3361	187	8	classes	class	NOUN
cana-3361	187	9	or	or	CCONJ
cana-3361	187	10	at	at	ADP
cana-3361	187	11	an	an	DET
cana-3361	187	12	aggregate	aggregate	ADJ
cana-3361	187	13	level	level	NOUN
cana-3361	187	14	.	.	PUNCT
cana-3361	188	1	they	they	PRON
cana-3361	188	2	are	be	AUX
cana-3361	188	3	defined	define	VERB
cana-3361	188	4	as	as	SCONJ
cana-3361	188	5	shown	show	VERB
cana-3361	188	6	in	in	ADP
cana-3361	188	7	eq	eq	ADP
cana-3361	188	8	.	.	PUNCT
cana-3361	189	1	(	(	PUNCT
cana-3361	189	2	5	5	NUM
cana-3361	189	3	)	)	PUNCT
cana-3361	189	4	,	,	PUNCT
cana-3361	189	5	(	(	PUNCT
cana-3361	189	6	6	6	NUM
cana-3361	189	7	)	)	PUNCT
cana-3361	189	8	and	and	CCONJ
cana-3361	189	9	(	(	PUNCT
cana-3361	189	10	7	7	X
cana-3361	189	11	)	)	PUNCT
cana-3361	189	12	respectively	respectively	ADV
cana-3361	189	13	.	.	PUNCT
cana-3361	190	1	the	the	DET
cana-3361	190	2	f1	f1	PROPN
cana-3361	190	3	score	score	NOUN
cana-3361	190	4	is	be	AUX
cana-3361	190	5	defined	define	VERB
cana-3361	190	6	as	as	ADP
cana-3361	190	7	the	the	DET
cana-3361	190	8	harmonic	harmonic	ADJ
cana-3361	190	9	mean	mean	NOUN
cana-3361	190	10	of	of	ADP
cana-3361	190	11	precision	precision	NOUN
cana-3361	190	12	and	and	CCONJ
cana-3361	190	13	recall	recall	NOUN
cana-3361	190	14	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
cana-3361	190	15	(	(	PUNCT
cana-3361	190	16	𝑃	𝑃	NOUN
cana-3361	190	17	)	)	PUNCT
cana-3361	190	18	=	=	SYM
cana-3361	190	19	𝑇𝑃	𝑇𝑃	PROPN
cana-3361	190	20	𝑇𝑃+𝐹𝑃	𝑇𝑃+𝐹𝑃	NUM
cana-3361	190	21	(	(	PUNCT
cana-3361	190	22	5	5	NUM
cana-3361	190	23	)	)	PUNCT
cana-3361	190	24	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-3361	190	25	(	(	PUNCT
cana-3361	190	26	𝑅	𝑅	PROPN
cana-3361	190	27	)	)	PUNCT
cana-3361	190	28	=	=	SYM
cana-3361	190	29	𝑇𝑃	𝑇𝑃	NOUN
cana-3361	190	30	𝑇𝑃+𝐹𝑁	𝑇𝑃+𝐹𝑁	NOUN
cana-3361	190	31	(	(	PUNCT
cana-3361	190	32	6	6	NUM
cana-3361	190	33	)	)	PUNCT
cana-3361	190	34	𝐹1𝑠𝑐𝑜𝑟𝑒	𝐹1𝑠𝑐𝑜𝑟𝑒	NOUN
cana-3361	191	1	(	(	PUNCT
cana-3361	191	2	𝐹1	𝐹1	NOUN
cana-3361	191	3	)	)	PUNCT
cana-3361	191	4	=	=	SYM
cana-3361	191	5	2×𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛×𝑅𝑒𝑐𝑎𝑙𝑙	2×𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛×𝑅𝑒𝑐𝑎𝑙𝑙	NUM
cana-3361	191	6	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛×𝑅𝑒𝑐𝑎𝑙𝑙	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛×𝑅𝑒𝑐𝑎𝑙𝑙	X
cana-3361	191	7	(	(	PUNCT
cana-3361	191	8	7	7	NUM
cana-3361	191	9	)	)	PUNCT
cana-3361	191	10	here	here	ADV
cana-3361	191	11	,	,	PUNCT
cana-3361	191	12	tp	tp	NOUN
cana-3361	191	13	represents	represent	VERB
cana-3361	191	14	the	the	DET
cana-3361	191	15	true	true	ADJ
cana-3361	191	16	positive	positive	ADJ
cana-3361	191	17	fraction	fraction	NOUN
cana-3361	191	18	,	,	PUNCT
cana-3361	191	19	fp	fp	PROPN
cana-3361	191	20	denotes	denote	VERB
cana-3361	191	21	the	the	DET
cana-3361	191	22	false	false	ADJ
cana-3361	191	23	positive	positive	ADJ
cana-3361	191	24	fraction	fraction	NOUN
cana-3361	191	25	,	,	PUNCT
cana-3361	191	26	and	and	CCONJ
cana-3361	191	27	fn	fn	NOUN
cana-3361	191	28	refers	refer	VERB
cana-3361	191	29	to	to	ADP
cana-3361	191	30	the	the	DET
cana-3361	191	31	false	false	ADJ
cana-3361	191	32	negative	negative	ADJ
cana-3361	191	33	fraction	fraction	NOUN
cana-3361	191	34	.	.	PUNCT
cana-3361	192	1	the	the	DET
cana-3361	192	2	proposed	propose	VERB
cana-3361	192	3	algorithm	algorithm	NOUN
cana-3361	192	4	has	have	AUX
cana-3361	192	5	been	be	AUX
cana-3361	192	6	compared	compare	VERB
cana-3361	192	7	with	with	ADP
cana-3361	192	8	the	the	DET
cana-3361	192	9	most	most	ADV
cana-3361	192	10	popular	popular	ADJ
cana-3361	192	11	watershed	watershe	VERB
cana-3361	192	12	segmentation	segmentation	NOUN
cana-3361	192	13	algorithm	algorithm	NOUN
cana-3361	192	14	using	use	VERB
cana-3361	192	15	these	these	DET
cana-3361	192	16	metrics	metric	NOUN
cana-3361	192	17	and	and	CCONJ
cana-3361	192	18	the	the	DET
cana-3361	192	19	results	result	NOUN
cana-3361	192	20	are	be	AUX
cana-3361	192	21	shown	show	VERB
cana-3361	192	22	in	in	ADP
cana-3361	192	23	the	the	DET
cana-3361	192	24	table	table	NOUN
cana-3361	192	25	1	1	NUM
cana-3361	192	26	.	.	PUNCT
cana-3361	193	1	also	also	ADV
cana-3361	193	2	the	the	DET
cana-3361	193	3	visual	visual	ADJ
cana-3361	193	4	segmentation	segmentation	NOUN
cana-3361	193	5	differences	difference	NOUN
cana-3361	193	6	between	between	ADP
cana-3361	193	7	proposed	propose	VERB
cana-3361	193	8	algorithm	algorithm	NOUN
cana-3361	193	9	and	and	CCONJ
cana-3361	193	10	watershed	watershe	VERB
cana-3361	193	11	algorithm	algorithm	NOUN
cana-3361	193	12	are	be	AUX
cana-3361	193	13	shown	show	VERB
cana-3361	193	14	in	in	ADP
cana-3361	193	15	table	table	NOUN
cana-3361	193	16	2	2	NUM
cana-3361	193	17	.	.	PUNCT
cana-3361	193	18	first	first	ADJ
cana-3361	193	19	seven	seven	NUM
cana-3361	193	20	images	image	NOUN
cana-3361	193	21	in	in	ADP
cana-3361	193	22	table	table	NOUN
cana-3361	193	23	2	2	NUM
cana-3361	193	24	are	be	AUX
cana-3361	193	25	from	from	ADP
cana-3361	193	26	caltech	caltech	PROPN
cana-3361	193	27	home	home	NOUN
cana-3361	193	28	object	object	NOUN
cana-3361	193	29	dataset	dataset	NOUN
cana-3361	193	30	and	and	CCONJ
cana-3361	193	31	last	last	ADJ
cana-3361	193	32	4	4	NUM
cana-3361	193	33	images	image	NOUN
cana-3361	193	34	are	be	AUX
cana-3361	193	35	real	real	ADV
cana-3361	193	36	captured	capture	VERB
cana-3361	193	37	images	image	NOUN
cana-3361	193	38	.	.	PUNCT
cana-3361	194	1	these	these	DET
cana-3361	194	2	parameters	parameter	NOUN
cana-3361	194	3	are	be	AUX
cana-3361	194	4	calculated	calculate	VERB
cana-3361	194	5	for	for	ADP
cana-3361	194	6	10	10	NUM
cana-3361	194	7	different	different	ADJ
cana-3361	194	8	household	household	NOUN
cana-3361	194	9	object	object	NOUN
cana-3361	194	10	images	image	NOUN
cana-3361	194	11	table	table	NOUN
cana-3361	194	12	1	1	NUM
cana-3361	194	13	:	:	PUNCT
cana-3361	194	14	performance	performance	NOUN
cana-3361	194	15	comparision	comparision	NOUN
cana-3361	194	16	testing	testing	NOUN
cana-3361	194	17	image	image	NOUN
cana-3361	194	18	watershed	watershe	VERB
cana-3361	194	19	algorithm	algorithm	NOUN
cana-3361	194	20	proposed	propose	VERB
cana-3361	194	21	algorithm	algorithm	NOUN
cana-3361	194	22	pa	pa	PROPN
cana-3361	194	23	iou	iou	PROPN
cana-3361	194	24	p	p	PROPN
cana-3361	194	25	r	r	NOUN
cana-3361	194	26	f1	f1	NOUN
cana-3361	194	27	pa	pa	PROPN
cana-3361	194	28	iou	iou	PROPN
cana-3361	194	29	p	p	PROPN
cana-3361	194	30	r	r	NOUN
cana-3361	194	31	f1	f1	NOUN
cana-3361	194	32	klear	klear	PROPN
cana-3361	194	33	kote	kote	PROPN
cana-3361	194	34	0.4	0.4	NUM
cana-3361	194	35	0.38	0.38	NUM
cana-3361	194	36	0.43	0.43	NUM
cana-3361	194	37	0.35	0.35	NUM
cana-3361	194	38	0.47	0.47	NUM
cana-3361	194	39	0.8	0.8	NUM
cana-3361	194	40	0.75	0.75	NUM
cana-3361	194	41	0.83	0.83	NUM
cana-3361	194	42	0.75	0.75	NUM
cana-3361	194	43	0.87	0.87	NUM
cana-3361	194	44	hershy	hershy	PROPN
cana-3361	194	45	syrup	syrup	NOUN
cana-3361	194	46	0.5	0.5	NUM
cana-3361	194	47	0.47	0.47	NUM
cana-3361	194	48	0.56	0.56	NUM
cana-3361	194	49	0.46	0.46	NUM
cana-3361	194	50	0.58	0.58	NUM
cana-3361	194	51	0.9	0.9	NUM
cana-3361	194	52	0.85	0.85	NUM
cana-3361	194	53	0.93	0.93	NUM
cana-3361	194	54	0.85	0.85	NUM
cana-3361	194	55	0.97	0.97	NUM
cana-3361	194	56	tele	tele	PROPN
cana-3361	194	57	phone	phone	NOUN
cana-3361	195	1	0.41	0.41	NUM
cana-3361	195	2	0.39	0.39	NUM
cana-3361	195	3	0.44	0.44	NUM
cana-3361	195	4	0.36	0.36	NUM
cana-3361	195	5	0.48	0.48	NUM
cana-3361	195	6	0.75	0.75	NUM
cana-3361	195	7	0.7	0.7	NUM
cana-3361	195	8	0.78	0.78	NUM
cana-3361	195	9	0.7	0.7	NUM
cana-3361	195	10	0.82	0.82	NUM
cana-3361	195	11	communications	communication	NOUN
cana-3361	195	12	on	on	ADP
cana-3361	195	13	applied	apply	VERB
cana-3361	195	14	nonlinear	nonlinear	ADJ
cana-3361	195	15	analysis	analysis	NOUN
cana-3361	195	16	issn	issn	NOUN
cana-3361	195	17	:	:	PUNCT
cana-3361	195	18	1074	1074	NUM
cana-3361	195	19	-	-	PUNCT
cana-3361	195	20	133x	133x	NUM
cana-3361	195	21	vol	vol	NOUN
cana-3361	195	22	32	32	NUM
cana-3361	195	23	no	no	NOUN
cana-3361	195	24	.	.	PUNCT
cana-3361	196	1	7s	7	NOUN
cana-3361	196	2	(	(	PUNCT
cana-3361	196	3	2025	2025	NUM
cana-3361	196	4	)	)	PUNCT
cana-3361	196	5	56	56	NUM
cana-3361	196	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3361	196	7	fish	fish	NOUN
cana-3361	196	8	toy	toy	NOUN
cana-3361	196	9	0.79	0.79	NUM
cana-3361	196	10	0.77	0.77	NUM
cana-3361	196	11	0.85	0.85	NUM
cana-3361	196	12	0.75	0.75	NUM
cana-3361	196	13	0.86	0.86	NUM
cana-3361	196	14	0.9	0.9	NUM
cana-3361	196	15	0.85	0.85	NUM
cana-3361	196	16	0.93	0.93	NUM
cana-3361	196	17	0.86	0.86	NUM
cana-3361	196	18	0.97	0.97	NUM
cana-3361	196	19	land	land	NOUN
cana-3361	196	20	phone	phone	NOUN
cana-3361	196	21	0.4	0.4	NUM
cana-3361	196	22	0.33	0.33	NUM
cana-3361	196	23	0.43	0.43	NUM
cana-3361	196	24	0.35	0.35	NUM
cana-3361	196	25	0.47	0.47	NUM
cana-3361	196	26	0.92	0.92	NUM
cana-3361	196	27	0.87	0.87	NUM
cana-3361	196	28	0.95	0.95	NUM
cana-3361	196	29	0.87	0.87	NUM
cana-3361	196	30	0.99	0.99	NUM
cana-3361	196	31	green	green	ADJ
cana-3361	196	32	bottle	bottle	NOUN
cana-3361	196	33	0.15	0.15	NUM
cana-3361	196	34	0.12	0.12	NUM
cana-3361	196	35	0.21	0.21	NUM
cana-3361	196	36	0.11	0.11	NUM
cana-3361	196	37	0.22	0.22	NUM
cana-3361	196	38	0.82	0.82	NUM
cana-3361	196	39	0.77	0.77	NUM
cana-3361	196	40	0.85	0.85	NUM
cana-3361	196	41	0.77	0.77	NUM
cana-3361	196	42	0.89	0.89	NUM
cana-3361	196	43	spray	spray	NOUN
cana-3361	196	44	0.49	0.49	NUM
cana-3361	196	45	0.46	0.46	NUM
cana-3361	196	46	0.55	0.55	NUM
cana-3361	196	47	0.45	0.45	NUM
cana-3361	196	48	0.57	0.57	NUM
cana-3361	196	49	0.68	0.68	NUM
cana-3361	196	50	0.63	0.63	NUM
cana-3361	196	51	0.71	0.71	NUM
cana-3361	196	52	0.62	0.62	NUM
cana-3361	196	53	0.76	0.76	NUM
cana-3361	196	54	oil	oil	NOUN
cana-3361	196	55	0.8	0.8	NUM
cana-3361	196	56	0.77	0.77	NUM
cana-3361	196	57	0.86	0.86	NUM
cana-3361	196	58	0.77	0.77	NUM
cana-3361	196	59	0.87	0.87	NUM
cana-3361	196	60	0.93	0.93	NUM
cana-3361	196	61	0.88	0.88	NUM
cana-3361	196	62	0.96	0.96	NUM
cana-3361	196	63	0.89	0.89	NUM
cana-3361	196	64	0.98	0.98	NUM
cana-3361	196	65	cup	cup	NOUN
cana-3361	196	66	0.6	0.6	NUM
cana-3361	196	67	0.57	0.57	NUM
cana-3361	196	68	0.66	0.66	NUM
cana-3361	196	69	0.56	0.56	NUM
cana-3361	196	70	0.67	0.67	NUM
cana-3361	196	71	0.95	0.95	NUM
cana-3361	196	72	0.9	0.9	NUM
cana-3361	196	73	0.97	0.97	NUM
cana-3361	196	74	0.91	0.91	NUM
cana-3361	196	75	0.99	0.99	NUM
cana-3361	196	76	bottle	bottle	NOUN
cana-3361	196	77	0.89	0.89	NUM
cana-3361	196	78	0.86	0.86	NUM
cana-3361	196	79	0.94	0.94	NUM
cana-3361	196	80	0.84	0.84	NUM
cana-3361	196	81	0.94	0.94	NUM
cana-3361	196	82	0.94	0.94	NUM
cana-3361	196	83	0.9	0.9	NUM
cana-3361	196	84	0.97	0.97	NUM
cana-3361	196	85	0.9	0.9	NUM
cana-3361	196	86	0.99	0.99	NUM
cana-3361	196	87	avg	avg	NOUN
cana-3361	196	88	.	.	PROPN
cana-3361	197	1	0.54	0.54	NUM
cana-3361	197	2	0.51	0.51	NUM
cana-3361	197	3	0.59	0.59	NUM
cana-3361	197	4	0.5	0.5	NUM
cana-3361	197	5	0.61	0.61	NUM
cana-3361	197	6	0.86	0.86	NUM
cana-3361	197	7	0.81	0.81	NUM
cana-3361	197	8	0.89	0.89	NUM
cana-3361	197	9	0.81	0.81	NUM
cana-3361	197	10	0.92	0.92	NUM
cana-3361	197	11	table	table	NOUN
cana-3361	197	12	2	2	NUM
cana-3361	197	13	:	:	PUNCT
cana-3361	197	14	segmentation	segmentation	NOUN
cana-3361	197	15	results	result	VERB
cana-3361	197	16	input	input	VERB
cana-3361	197	17	image	image	NOUN
cana-3361	197	18	output	output	NOUN
cana-3361	197	19	of	of	ADP
cana-3361	197	20	watershed	watershed	ADJ
cana-3361	197	21	output	output	NOUN
cana-3361	197	22	of	of	ADP
cana-3361	197	23	proposed	propose	VERB
cana-3361	197	24	1.klear	1.klear	NUM
cana-3361	197	25	kote	kote	PROPN
cana-3361	197	26	2.hersheys	2.hersheys	NUM
cana-3361	197	27	syrup	syrup	NOUN
cana-3361	197	28	3.telephone	3.telephone	NUM
cana-3361	197	29	4.fish	4.fish	NUM
cana-3361	197	30	toy	toy	NOUN
cana-3361	197	31	communications	communication	NOUN
cana-3361	197	32	on	on	ADP
cana-3361	197	33	applied	apply	VERB
cana-3361	197	34	nonlinear	nonlinear	ADJ
cana-3361	197	35	analysis	analysis	NOUN
cana-3361	197	36	issn	issn	NOUN
cana-3361	197	37	:	:	PUNCT
cana-3361	197	38	1074	1074	NUM
cana-3361	197	39	-	-	PUNCT
cana-3361	197	40	133x	133x	NUM
cana-3361	197	41	vol	vol	NOUN
cana-3361	197	42	32	32	NUM
cana-3361	197	43	no	no	NOUN
cana-3361	197	44	.	.	PUNCT
cana-3361	198	1	7s	7	NOUN
cana-3361	198	2	(	(	PUNCT
cana-3361	198	3	2025	2025	NUM
cana-3361	198	4	)	)	PUNCT
cana-3361	198	5	57	57	NUM
cana-3361	198	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3361	198	7	5.landphone	5.landphone	NUM
cana-3361	198	8	6.green	6.green	NUM
cana-3361	198	9	bottle	bottle	NOUN
cana-3361	198	10	7	7	NUM
cana-3361	198	11	.	.	NOUN
cana-3361	198	12	spray	spray	NOUN
cana-3361	198	13	8.parachute	8.parachute	NUM
cana-3361	198	14	9.smiley	9.smiley	NUM
cana-3361	198	15	cup	cup	NOUN
cana-3361	198	16	10	10	NUM
cana-3361	198	17	.	.	PUNCT
cana-3361	199	1	bottle	bottle	NOUN
cana-3361	199	2	11.bowl	11.bowl	NUM
cana-3361	199	3	communications	communication	NOUN
cana-3361	199	4	on	on	ADP
cana-3361	199	5	applied	apply	VERB
cana-3361	199	6	nonlinear	nonlinear	ADJ
cana-3361	199	7	analysis	analysis	NOUN
cana-3361	199	8	issn	issn	NOUN
cana-3361	199	9	:	:	PUNCT
cana-3361	199	10	1074	1074	NUM
cana-3361	199	11	-	-	PUNCT
cana-3361	199	12	133x	133x	NUM
cana-3361	199	13	vol	vol	NOUN
cana-3361	199	14	32	32	NUM
cana-3361	199	15	no	no	NOUN
cana-3361	199	16	.	.	PUNCT
cana-3361	200	1	7s	7	NOUN
cana-3361	200	2	(	(	PUNCT
cana-3361	200	3	2025	2025	NUM
cana-3361	200	4	)	)	PUNCT
cana-3361	200	5	58	58	NUM
cana-3361	201	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3361	201	2	conclusion	conclusion	NOUN
cana-3361	201	3	a	a	DET
cana-3361	201	4	novel	novel	ADJ
cana-3361	201	5	methodology	methodology	NOUN
cana-3361	201	6	for	for	ADP
cana-3361	201	7	image	image	NOUN
cana-3361	201	8	segregation	segregation	NOUN
cana-3361	201	9	utilizing	utilize	VERB
cana-3361	201	10	genetic	genetic	ADJ
cana-3361	201	11	algorithm	algorithm	NOUN
cana-3361	201	12	has	have	AUX
cana-3361	201	13	been	be	AUX
cana-3361	201	14	proposed	propose	VERB
cana-3361	201	15	.	.	PUNCT
cana-3361	202	1	ga	ga	PROPN
cana-3361	202	2	has	have	AUX
cana-3361	202	3	been	be	AUX
cana-3361	202	4	used	use	VERB
cana-3361	202	5	because	because	SCONJ
cana-3361	202	6	of	of	ADP
cana-3361	202	7	its	its	PRON
cana-3361	202	8	computational	computational	ADJ
cana-3361	202	9	powers	power	NOUN
cana-3361	202	10	and	and	CCONJ
cana-3361	202	11	searching	search	VERB
cana-3361	202	12	capabilities	capability	NOUN
cana-3361	202	13	.	.	PUNCT
cana-3361	203	1	moreover	moreover	ADV
cana-3361	203	2	,	,	PUNCT
cana-3361	203	3	the	the	DET
cana-3361	203	4	features	feature	NOUN
cana-3361	203	5	are	be	AUX
cana-3361	203	6	modified	modify	VERB
cana-3361	203	7	using	use	VERB
cana-3361	203	8	hereditary	hereditary	ADJ
cana-3361	203	9	methods	method	NOUN
cana-3361	203	10	to	to	PART
cana-3361	203	11	enhance	enhance	VERB
cana-3361	203	12	image	image	NOUN
cana-3361	203	13	segregation	segregation	NOUN
cana-3361	203	14	.	.	PUNCT
cana-3361	204	1	in	in	ADP
cana-3361	204	2	order	order	NOUN
cana-3361	204	3	to	to	PART
cana-3361	204	4	provide	provide	VERB
cana-3361	204	5	better	well	ADJ
cana-3361	204	6	results	result	NOUN
cana-3361	204	7	,	,	PUNCT
cana-3361	204	8	such	such	ADJ
cana-3361	204	9	as	as	ADP
cana-3361	204	10	a	a	DET
cana-3361	204	11	better	well	ADJ
cana-3361	204	12	segmented	segment	VERB
cana-3361	204	13	image	image	NOUN
cana-3361	204	14	,	,	PUNCT
cana-3361	204	15	the	the	DET
cana-3361	204	16	number	number	NOUN
cana-3361	204	17	of	of	ADP
cana-3361	204	18	generations	generation	NOUN
cana-3361	204	19	is	be	AUX
cana-3361	204	20	also	also	ADV
cana-3361	204	21	changing	change	VERB
cana-3361	204	22	.	.	PUNCT
cana-3361	205	1	the	the	DET
cana-3361	205	2	innovative	innovative	ADJ
cana-3361	205	3	aspect	aspect	NOUN
cana-3361	205	4	of	of	ADP
cana-3361	205	5	the	the	DET
cana-3361	205	6	suggested	suggest	VERB
cana-3361	205	7	method	method	NOUN
cana-3361	205	8	is	be	AUX
cana-3361	205	9	that	that	SCONJ
cana-3361	205	10	the	the	DET
cana-3361	205	11	chromosomal	chromosomal	ADJ
cana-3361	205	12	length	length	NOUN
cana-3361	205	13	varies	vary	VERB
cana-3361	205	14	according	accord	VERB
cana-3361	205	15	to	to	ADP
cana-3361	205	16	the	the	DET
cana-3361	205	17	estimated	estimate	VERB
cana-3361	205	18	value	value	NOUN
cana-3361	205	19	of	of	ADP
cana-3361	205	20	k	k	NOUN
cana-3361	205	21	,	,	PUNCT
cana-3361	205	22	or	or	CCONJ
cana-3361	205	23	the	the	DET
cana-3361	205	24	number	number	NOUN
cana-3361	205	25	of	of	ADP
cana-3361	205	26	clusters	cluster	NOUN
cana-3361	205	27	.	.	PUNCT
cana-3361	206	1	based	base	VERB
cana-3361	206	2	on	on	ADP
cana-3361	206	3	the	the	DET
cana-3361	206	4	house	house	NOUN
cana-3361	206	5	object	object	NOUN
cana-3361	206	6	dataset	dataset	NOUN
cana-3361	206	7	,	,	PUNCT
cana-3361	206	8	the	the	DET
cana-3361	206	9	experimental	experimental	ADJ
cana-3361	206	10	findings	finding	NOUN
cana-3361	206	11	demonstrated	demonstrate	VERB
cana-3361	206	12	that	that	SCONJ
cana-3361	206	13	combining	combine	VERB
cana-3361	206	14	k	k	NOUN
cana-3361	206	15	-	-	PUNCT
cana-3361	206	16	means	means	NOUN
cana-3361	206	17	with	with	ADP
cana-3361	206	18	ga	ga	PROPN
cana-3361	206	19	produced	produce	VERB
cana-3361	206	20	promising	promising	ADJ
cana-3361	206	21	results	result	NOUN
cana-3361	206	22	with	with	ADP
cana-3361	206	23	an	an	DET
cana-3361	206	24	accuracy	accuracy	NOUN
cana-3361	206	25	of	of	ADP
cana-3361	206	26	90	90	NUM
cana-3361	206	27	%	%	NOUN
cana-3361	206	28	.	.	PUNCT
cana-3361	207	1	furthermore	furthermore	ADV
cana-3361	207	2	,	,	PUNCT
cana-3361	207	3	a	a	DET
cana-3361	207	4	comparison	comparison	NOUN
cana-3361	207	5	is	be	AUX
cana-3361	207	6	presented	present	VERB
cana-3361	207	7	between	between	ADP
cana-3361	207	8	the	the	DET
cana-3361	207	9	proposed	propose	VERB
cana-3361	207	10	algorithm	algorithm	NOUN
cana-3361	207	11	and	and	CCONJ
cana-3361	207	12	the	the	DET
cana-3361	207	13	most	most	ADV
cana-3361	207	14	popular	popular	ADJ
cana-3361	207	15	watershed	watershe	VERB
cana-3361	207	16	segmentation	segmentation	NOUN
cana-3361	207	17	algorithm	algorithm	NOUN
cana-3361	207	18	,	,	PUNCT
cana-3361	207	19	demonstrating	demonstrate	VERB
cana-3361	207	20	that	that	SCONJ
cana-3361	207	21	our	our	PRON
cana-3361	207	22	algorithm	algorithm	NOUN
cana-3361	207	23	produces	produce	VERB
cana-3361	207	24	results	result	NOUN
cana-3361	207	25	that	that	PRON
cana-3361	207	26	are	be	AUX
cana-3361	207	27	comparable	comparable	ADJ
cana-3361	207	28	on	on	ADP
cana-3361	207	29	conventional	conventional	ADJ
cana-3361	207	30	and	and	CCONJ
cana-3361	207	31	real	real	ADJ
cana-3361	207	32	-	-	PUNCT
cana-3361	207	33	time	time	NOUN
cana-3361	207	34	datasets	dataset	NOUN
cana-3361	207	35	.	.	PUNCT
cana-3361	208	1	conflicts	conflict	NOUN
cana-3361	208	2	of	of	ADP
cana-3361	208	3	interest	interest	NOUN
cana-3361	208	4	:	:	PUNCT
cana-3361	208	5	the	the	DET
cana-3361	208	6	authors	author	NOUN
cana-3361	208	7	have	have	VERB
cana-3361	208	8	no	no	DET
cana-3361	208	9	conflicts	conflict	NOUN
cana-3361	208	10	of	of	ADP
cana-3361	208	11	interest	interest	NOUN
cana-3361	208	12	to	to	PART
cana-3361	208	13	declare	declare	VERB
cana-3361	208	14	.	.	PUNCT
cana-3361	209	1	references	reference	NOUN
cana-3361	209	2	[	[	X
cana-3361	209	3	1	1	NUM
cana-3361	209	4	]	]	PUNCT
cana-3361	209	5	yu	yu	PROPN
cana-3361	209	6	,	,	PUNCT
cana-3361	209	7	ying	ying	PROPN
cana-3361	209	8	,	,	PUNCT
cana-3361	209	9	chunping	chunpe	VERB
cana-3361	209	10	wang	wang	PROPN
cana-3361	209	11	,	,	PUNCT
cana-3361	209	12	and	and	CCONJ
cana-3361	209	13	et	et	NOUN
cana-3361	209	14	.	.	PUNCT
cana-3361	210	1	all	all	PRON
cana-3361	210	2	.	.	PUNCT
cana-3361	211	1	2023	2023	NUM
cana-3361	211	2	.	.	PUNCT
cana-3361	212	1	"	"	PUNCT
cana-3361	212	2	techniques	technique	NOUN
cana-3361	212	3	and	and	CCONJ
cana-3361	212	4	challenges	challenge	NOUN
cana-3361	212	5	of	of	ADP
cana-3361	212	6	image	image	NOUN
cana-3361	212	7	segmentation	segmentation	NOUN
cana-3361	212	8	:	:	PUNCT
cana-3361	212	9	a	a	DET
cana-3361	212	10	review	review	NOUN
cana-3361	212	11	"	"	PUNCT
cana-3361	212	12	electronics	electronic	NOUN
cana-3361	212	13	12	12	NUM
cana-3361	212	14	,	,	PUNCT
cana-3361	212	15	no	no	INTJ
cana-3361	212	16	.	.	NOUN
cana-3361	212	17	5	5	NUM
cana-3361	212	18	:	:	SYM
cana-3361	212	19	1199	1199	NUM
cana-3361	212	20	.	.	PUNCT
cana-3361	213	1	https://doi.org/10.3390/electronics12051199	https://doi.org/10.3390/electronics12051199	X
cana-3361	214	1	[	[	X
cana-3361	214	2	2	2	NUM
cana-3361	214	3	]	]	PUNCT
cana-3361	214	4	s.	s.	PROPN
cana-3361	214	5	minaee	minaee	PROPN
cana-3361	214	6	,	,	PUNCT
cana-3361	214	7	y.	y.	PROPN
cana-3361	214	8	boykov	boykov	PROPN
cana-3361	214	9	,	,	PUNCT
cana-3361	214	10	f.	f.	PROPN
cana-3361	214	11	porikli	porikli	PROPN
cana-3361	214	12	,	,	PUNCT
cana-3361	214	13	a.	a.	NOUN
cana-3361	214	14	plaza	plaza	PROPN
cana-3361	214	15	,	,	PUNCT
cana-3361	214	16	n.	n.	PROPN
cana-3361	214	17	kehtarnavaz	kehtarnavaz	PROPN
cana-3361	214	18	and	and	CCONJ
cana-3361	214	19	d.	d.	PROPN
cana-3361	214	20	terzopoulos	terzopoulos	PROPN
cana-3361	214	21	,	,	PUNCT
cana-3361	214	22	"	"	PUNCT
cana-3361	214	23	image	image	NOUN
cana-3361	214	24	segmentation	segmentation	NOUN
cana-3361	214	25	using	use	VERB
cana-3361	214	26	deep	deep	ADJ
cana-3361	214	27	learning	learning	NOUN
cana-3361	214	28	:	:	PUNCT
cana-3361	214	29	a	a	DET
cana-3361	214	30	survey	survey	NOUN
cana-3361	214	31	,	,	PUNCT
cana-3361	214	32	"	"	PUNCT
cana-3361	214	33	in	in	ADP
cana-3361	214	34	ieee	ieee	NOUN
cana-3361	214	35	transactions	transaction	NOUN
cana-3361	214	36	on	on	ADP
cana-3361	214	37	pattern	pattern	NOUN
cana-3361	214	38	analysis	analysis	NOUN
cana-3361	214	39	and	and	CCONJ
cana-3361	214	40	machine	machine	NOUN
cana-3361	214	41	intelligence	intelligence	NOUN
cana-3361	214	42	,	,	PUNCT
cana-3361	214	43	vol	vol	NOUN
cana-3361	214	44	.	.	PROPN
cana-3361	215	1	44	44	NUM
cana-3361	215	2	,	,	PUNCT
cana-3361	215	3	no	no	INTJ
cana-3361	215	4	.	.	NOUN
cana-3361	215	5	7	7	NUM
cana-3361	215	6	,	,	PUNCT
cana-3361	215	7	pp	pp	ADJ
cana-3361	215	8	.	.	PUNCT
cana-3361	215	9	35233542	35233542	NUM
cana-3361	215	10	,	,	PUNCT
cana-3361	215	11	1	1	NUM
cana-3361	215	12	july	july	PROPN
cana-3361	215	13	2022	2022	NUM
cana-3361	215	14	,	,	PUNCT
cana-3361	215	15	doi	doi	NOUN
cana-3361	215	16	:	:	PUNCT
cana-3361	215	17	10.1109	10.1109	NUM
cana-3361	215	18	/	/	SYM
cana-3361	215	19	tpami.2021.3059968	tpami.2021.3059968	NOUN
cana-3361	215	20	.	.	PUNCT
cana-3361	216	1	[	[	X
cana-3361	216	2	3	3	NUM
cana-3361	216	3	]	]	X
cana-3361	216	4	guo	guo	PROPN
cana-3361	216	5	,	,	PUNCT
cana-3361	216	6	yu	yu	PROPN
cana-3361	216	7	,	,	PUNCT
cana-3361	216	8	guigen	guigen	PROPN
cana-3361	216	9	nie	nie	PROPN
cana-3361	216	10	,	,	PUNCT
cana-3361	216	11	wenliang	wenliang	PROPN
cana-3361	216	12	gao	gao	PROPN
cana-3361	216	13	,	,	PUNCT
cana-3361	216	14	and	and	CCONJ
cana-3361	216	15	mi	mi	PROPN
cana-3361	216	16	liao	liao	PROPN
cana-3361	216	17	.	.	PROPN
cana-3361	216	18	2023	2023	NUM
cana-3361	216	19	.	.	PUNCT
cana-3361	217	1	"	"	PUNCT
cana-3361	217	2	2d	2d	NUM
cana-3361	217	3	semantic	semantic	ADJ
cana-3361	217	4	segmentation	segmentation	NOUN
cana-3361	217	5	:	:	PUNCT
cana-3361	217	6	recent	recent	ADJ
cana-3361	217	7	developments	development	NOUN
cana-3361	217	8	and	and	CCONJ
cana-3361	217	9	future	future	ADJ
cana-3361	217	10	directions	direction	NOUN
cana-3361	217	11	"	"	PUNCT
cana-3361	217	12	future	future	ADJ
cana-3361	217	13	internet	internet	NOUN
cana-3361	217	14	15	15	NUM
cana-3361	217	15	,	,	PUNCT
cana-3361	217	16	no	no	INTJ
cana-3361	217	17	.	.	NOUN
cana-3361	218	1	6	6	NUM
cana-3361	218	2	:	:	SYM
cana-3361	218	3	205	205	NUM
cana-3361	218	4	.	.	PUNCT
cana-3361	219	1	https://doi.org/10.3390/fi15060205	https://doi.org/10.3390/fi15060205	PRON
cana-3361	220	1	[	[	X
cana-3361	220	2	4	4	X
cana-3361	220	3	]	]	X
cana-3361	220	4	yuanbo	yuanbo	PROPN
cana-3361	220	5	wang	wang	PROPN
cana-3361	220	6	,	,	PUNCT
cana-3361	220	7	unaiza	unaiza	PROPN
cana-3361	220	8	ahsan	ahsan	PROPN
cana-3361	220	9	,	,	PUNCT
cana-3361	220	10	hanyan	hanyan	PROPN
cana-3361	220	11	li	li	PROPN
cana-3361	220	12	and	and	CCONJ
cana-3361	220	13	matthew	matthew	PROPN
cana-3361	220	14	hagen	hagen	PROPN
cana-3361	220	15	(	(	PUNCT
cana-3361	220	16	2022	2022	NUM
cana-3361	220	17	)	)	PUNCT
cana-3361	220	18	,	,	PUNCT
cana-3361	220	19	"	"	PUNCT
cana-3361	220	20	a	a	DET
cana-3361	220	21	comprehensive	comprehensive	ADJ
cana-3361	220	22	review	review	NOUN
cana-3361	220	23	of	of	ADP
cana-3361	220	24	modern	modern	ADJ
cana-3361	220	25	object	object	NOUN
cana-3361	220	26	segmentation	segmentation	NOUN
cana-3361	220	27	approaches	approach	NOUN
cana-3361	220	28	"	"	PUNCT
cana-3361	220	29	,	,	PUNCT
cana-3361	220	30	foundations	foundation	NOUN
cana-3361	220	31	and	and	CCONJ
cana-3361	220	32	trends	trend	NOUN
cana-3361	220	33	®	®	NOUN
cana-3361	220	34	in	in	ADP
cana-3361	220	35	computer	computer	NOUN
cana-3361	220	36	graphics	graphic	NOUN
cana-3361	220	37	and	and	CCONJ
cana-3361	220	38	vision	vision	NOUN
cana-3361	220	39	:	:	PUNCT
cana-3361	220	40	vol	vol	NOUN
cana-3361	220	41	.	.	PROPN
cana-3361	221	1	13	13	NUM
cana-3361	221	2	:	:	PUNCT
cana-3361	222	1	no	no	INTJ
cana-3361	222	2	.	.	NOUN
cana-3361	223	1	2	2	NUM
cana-3361	223	2	-	-	SYM
cana-3361	223	3	3	3	NUM
cana-3361	223	4	,	,	PUNCT
cana-3361	223	5	pp	pp	ADV
cana-3361	223	6	111	111	NUM
cana-3361	223	7	-	-	SYM
cana-3361	223	8	283	283	NUM
cana-3361	223	9	.	.	PUNCT
cana-3361	224	1	http://dx.doi.org/10.1561/0600000097	http://dx.doi.org/10.1561/0600000097	NOUN
cana-3361	225	1	[	[	X
cana-3361	225	2	5	5	NUM
cana-3361	225	3	]	]	X
cana-3361	225	4	liu	liu	PROPN
cana-3361	225	5	,	,	PUNCT
cana-3361	225	6	x.	x.	PROPN
cana-3361	225	7	,	,	PUNCT
cana-3361	225	8	deng	deng	PROPN
cana-3361	225	9	,	,	PUNCT
cana-3361	225	10	z.	z.	PROPN
cana-3361	225	11	&	&	CCONJ
cana-3361	225	12	yang	yang	PROPN
cana-3361	225	13	,	,	PUNCT
cana-3361	225	14	y.	y.	PROPN
cana-3361	225	15	recent	recent	ADJ
cana-3361	225	16	progress	progress	NOUN
cana-3361	225	17	in	in	ADP
cana-3361	225	18	semantic	semantic	ADJ
cana-3361	225	19	image	image	NOUN
cana-3361	225	20	segmentation	segmentation	NOUN
cana-3361	225	21	.	.	PUNCT
cana-3361	226	1	artif	artif	PROPN
cana-3361	226	2	intell	intell	PROPN
cana-3361	226	3	rev	rev	VERB
cana-3361	226	4	52	52	NUM
cana-3361	226	5	,	,	PUNCT
cana-3361	226	6	1089–1106	1089–1106	NUM
cana-3361	226	7	(	(	PUNCT
cana-3361	226	8	2019	2019	NUM
cana-3361	226	9	)	)	PUNCT
cana-3361	226	10	.	.	PUNCT
cana-3361	227	1	https://doi.org/10.1007/s10462-018-9641-3	https://doi.org/10.1007/s10462-018-9641-3	NUM
cana-3361	228	1	[	[	X
cana-3361	228	2	6	6	NUM
cana-3361	228	3	]	]	PUNCT
cana-3361	228	4	k.	k.	PROPN
cana-3361	228	5	sofiiuk	sofiiuk	PROPN
cana-3361	228	6	,	,	PUNCT
cana-3361	228	7	i.	i.	PROPN
cana-3361	228	8	a.	a.	PROPN
cana-3361	228	9	petrov	petrov	PROPN
cana-3361	228	10	and	and	CCONJ
cana-3361	228	11	a.	a.	PROPN
cana-3361	228	12	konushin	konushin	PROPN
cana-3361	228	13	,	,	PUNCT
cana-3361	228	14	"	"	PUNCT
cana-3361	228	15	reviving	revive	VERB
cana-3361	228	16	iterative	iterative	NOUN
cana-3361	228	17	training	training	NOUN
cana-3361	228	18	with	with	ADP
cana-3361	228	19	mask	mask	NOUN
cana-3361	228	20	guidance	guidance	NOUN
cana-3361	228	21	for	for	ADP
cana-3361	228	22	interactive	interactive	ADJ
cana-3361	228	23	segmentation	segmentation	NOUN
cana-3361	228	24	,	,	PUNCT
cana-3361	228	25	"	"	PUNCT
cana-3361	228	26	2022	2022	NUM
cana-3361	228	27	ieee	ieee	PROPN
cana-3361	228	28	international	international	ADJ
cana-3361	228	29	conference	conference	NOUN
cana-3361	228	30	on	on	ADP
cana-3361	228	31	image	image	NOUN
cana-3361	228	32	processing	processing	NOUN
cana-3361	228	33	(	(	PUNCT
cana-3361	228	34	icip	icip	PROPN
cana-3361	228	35	)	)	PUNCT
cana-3361	228	36	,	,	PUNCT
cana-3361	228	37	bordeaux	bordeaux	NOUN
cana-3361	228	38	,	,	PUNCT
cana-3361	228	39	france	france	PROPN
cana-3361	228	40	,	,	PUNCT
cana-3361	228	41	2022	2022	NUM
cana-3361	228	42	,	,	PUNCT
cana-3361	228	43	pp	pp	ADJ
cana-3361	228	44	.	.	PUNCT
cana-3361	229	1	3141	3141	NUM
cana-3361	229	2	-	-	SYM
cana-3361	229	3	3145	3145	NUM
cana-3361	229	4	,	,	PUNCT
cana-3361	229	5	doi	doi	NOUN
cana-3361	229	6	:	:	PUNCT
cana-3361	229	7	10.1109	10.1109	NUM
cana-3361	229	8	/	/	SYM
cana-3361	229	9	icip46576.2022.9897365	icip46576.2022.9897365	PROPN
cana-3361	229	10	.	.	PUNCT
cana-3361	230	1	[	[	X
cana-3361	230	2	7	7	NUM
cana-3361	230	3	]	]	X
cana-3361	230	4	sharma	sharma	PROPN
cana-3361	230	5	,	,	PUNCT
cana-3361	230	6	r.	r.	PROPN
cana-3361	230	7	,	,	PUNCT
cana-3361	230	8	saqib	saqib	NOUN
cana-3361	230	9	,	,	PUNCT
cana-3361	230	10	m.	m.	NOUN
cana-3361	230	11	,	,	PUNCT
cana-3361	230	12	lin	lin	PROPN
cana-3361	230	13	,	,	PUNCT
cana-3361	230	14	c.t	c.t	PROPN
cana-3361	230	15	.	.	PROPN
cana-3361	230	16	et	et	PROPN
cana-3361	230	17	al	al	PROPN
cana-3361	230	18	.	.	PUNCT
cana-3361	231	1	a	a	DET
cana-3361	231	2	survey	survey	NOUN
cana-3361	231	3	on	on	ADP
cana-3361	231	4	object	object	NOUN
cana-3361	231	5	instance	instance	NOUN
cana-3361	231	6	segmentation	segmentation	NOUN
cana-3361	231	7	.	.	PUNCT
cana-3361	232	1	sn	sn	PROPN
cana-3361	232	2	comput	comput	PROPN
cana-3361	232	3	.	.	PUNCT
cana-3361	233	1	sci	sci	PROPN
cana-3361	233	2	.	.	PROPN
cana-3361	234	1	3	3	NUM
cana-3361	234	2	,	,	PUNCT
cana-3361	234	3	499	499	NUM
cana-3361	234	4	(	(	PUNCT
cana-3361	234	5	2022	2022	NUM
cana-3361	234	6	)	)	PUNCT
cana-3361	234	7	.	.	PUNCT
cana-3361	235	1	https://doi.org/10.1007/s42979-022-01407-3	https://doi.org/10.1007/s42979-022-01407-3	X
cana-3361	236	1	[	[	X
cana-3361	236	2	8	8	NUM
cana-3361	236	3	]	]	X
cana-3361	236	4	zhang	zhang	PROPN
cana-3361	236	5	,	,	PUNCT
cana-3361	236	6	l.	l.	PROPN
cana-3361	236	7	evaluation	evaluation	NOUN
cana-3361	236	8	of	of	ADP
cana-3361	236	9	image	image	NOUN
cana-3361	236	10	segmentation	segmentation	NOUN
cana-3361	236	11	and	and	CCONJ
cana-3361	236	12	multi	multi	ADJ
cana-3361	236	13	class	class	NOUN
cana-3361	236	14	object	object	NOUN
cana-3361	236	15	recognition	recognition	NOUN
cana-3361	236	16	algorithm	algorithm	NOUN
cana-3361	236	17	based	base	VERB
cana-3361	236	18	on	on	ADP
cana-3361	236	19	machine	machine	NOUN
cana-3361	236	20	learning	learning	NOUN
cana-3361	236	21	.	.	PUNCT
cana-3361	237	1	sn	sn	PROPN
cana-3361	237	2	appl	appl	PROPN
cana-3361	237	3	.	.	PUNCT
cana-3361	238	1	sci	sci	PROPN
cana-3361	238	2	.	.	PROPN
cana-3361	239	1	5	5	NUM
cana-3361	239	2	,	,	PUNCT
cana-3361	239	3	147	147	NUM
cana-3361	239	4	(	(	PUNCT
cana-3361	239	5	2023	2023	NUM
cana-3361	239	6	)	)	PUNCT
cana-3361	239	7	.	.	PUNCT
cana-3361	240	1	https://doi.org/10.1007/s42452-023-05365-0	https://doi.org/10.1007/s42452-023-05365-0	NUM
cana-3361	241	1	[	[	X
cana-3361	241	2	9	9	NUM
cana-3361	241	3	]	]	SYM
cana-3361	241	4	iioka	iioka	NOUN
cana-3361	241	5	,	,	PUNCT
cana-3361	241	6	yui	yui	PROPN
cana-3361	241	7	&	&	CCONJ
cana-3361	241	8	yoshida	yoshida	PROPN
cana-3361	241	9	,	,	PUNCT
cana-3361	241	10	yu	yu	PROPN
cana-3361	241	11	&	&	CCONJ
cana-3361	241	12	wada	wada	PROPN
cana-3361	241	13	,	,	PUNCT
cana-3361	241	14	yuiga	yuiga	PROPN
cana-3361	241	15	&	&	CCONJ
cana-3361	241	16	hatanaka	hatanaka	PROPN
cana-3361	241	17	,	,	PUNCT
cana-3361	241	18	shumpei	shumpei	PROPN
cana-3361	241	19	&	&	CCONJ
cana-3361	241	20	sugiura	sugiura	PROPN
cana-3361	241	21	,	,	PUNCT
cana-3361	241	22	komei	komei	PROPN
cana-3361	241	23	.	.	PUNCT
cana-3361	242	1	(	(	PUNCT
cana-3361	242	2	2023	2023	NUM
cana-3361	242	3	)	)	PUNCT
cana-3361	242	4	.	.	PUNCT
cana-3361	243	1	"	"	PUNCT
cana-3361	243	2	multimodal	multimodal	ADJ
cana-3361	243	3	diffusion	diffusion	NOUN
cana-3361	243	4	segmentation	segmentation	NOUN
cana-3361	243	5	model	model	NOUN
cana-3361	243	6	for	for	ADP
cana-3361	243	7	object	object	NOUN
cana-3361	243	8	segmentation	segmentation	NOUN
cana-3361	243	9	from	from	ADP
cana-3361	243	10	manipulation	manipulation	NOUN
cana-3361	243	11	instructions	instruction	NOUN
cana-3361	243	12	"	"	PUNCT
cana-3361	243	13	,	,	PUNCT
cana-3361	243	14	computer	computer	NOUN
cana-3361	243	15	vision	vision	NOUN
cana-3361	243	16	and	and	CCONJ
cana-3361	243	17	pattern	pattern	NOUN
cana-3361	243	18	recognition	recognition	NOUN
cana-3361	243	19	,	,	PUNCT
cana-3361	243	20	https://doi.org/10.48550/arxiv.2307.08597	https://doi.org/10.48550/arxiv.2307.08597	PROPN
cana-3361	244	1	[	[	X
cana-3361	244	2	10	10	NUM
cana-3361	244	3	]	]	X
cana-3361	244	4	rafique	rafique	PROPN
cana-3361	244	5	,	,	PUNCT
cana-3361	244	6	adnan	adnan	PROPN
cana-3361	244	7	ahmed	ahmed	PROPN
cana-3361	244	8	,	,	PUNCT
cana-3361	244	9	ahmad	ahmad	PROPN
cana-3361	244	10	jalal	jalal	PROPN
cana-3361	244	11	,	,	PUNCT
cana-3361	244	12	and	and	CCONJ
cana-3361	244	13	kibum	kibum	PROPN
cana-3361	244	14	kim	kim	PROPN
cana-3361	244	15	.	.	PROPN
cana-3361	245	1	2020	2020	NUM
cana-3361	245	2	.	.	PUNCT
cana-3361	246	1	"	"	PUNCT
cana-3361	246	2	automated	automate	VERB
cana-3361	246	3	sustainable	sustainable	ADJ
cana-3361	246	4	multi	multi	ADJ
cana-3361	246	5	-	-	ADJ
cana-3361	246	6	object	object	ADJ
cana-3361	246	7	segmentation	segmentation	NOUN
cana-3361	246	8	and	and	CCONJ
cana-3361	246	9	recognition	recognition	NOUN
cana-3361	246	10	via	via	ADP
cana-3361	246	11	modified	modified	ADJ
cana-3361	246	12	sampling	sample	VERB
cana-3361	246	13	consensus	consensus	NOUN
cana-3361	246	14	and	and	CCONJ
cana-3361	246	15	kernel	kernel	PROPN
cana-3361	246	16	sliding	sliding	PROPN
cana-3361	246	17	perceptron	perceptron	PROPN
cana-3361	246	18	"	"	PUNCT
cana-3361	246	19	symmetry	symmetry	NOUN
cana-3361	246	20	12	12	NUM
cana-3361	246	21	,	,	PUNCT
cana-3361	246	22	no	no	INTJ
cana-3361	246	23	.	.	NOUN
cana-3361	246	24	11	11	NUM
cana-3361	246	25	:	:	SYM
cana-3361	246	26	1928	1928	NUM
cana-3361	246	27	.	.	PUNCT
cana-3361	246	28	https://doi.org/10.3390/sym12111928	https://doi.org/10.3390/sym12111928	X
cana-3361	247	1	[	[	X
cana-3361	247	2	11	11	NUM
cana-3361	247	3	]	]	X
cana-3361	247	4	mula	mula	PROPN
cana-3361	247	5	,	,	PUNCT
cana-3361	247	6	a.	a.	NOUN
cana-3361	247	7	;	;	PUNCT
cana-3361	247	8	młodzikowski	młodzikowski	PROPN
cana-3361	247	9	,	,	PUNCT
cana-3361	247	10	k.	k.	PROPN
cana-3361	247	11	;	;	PUNCT
cana-3361	247	12	gawron	gawron	PROPN
cana-3361	247	13	,	,	PUNCT
cana-3361	247	14	p.	p.	NOUN
cana-3361	247	15	;	;	PUNCT
cana-3361	247	16	belter	belter	NOUN
cana-3361	247	17	,	,	PUNCT
cana-3361	247	18	d.	d.	PROPN
cana-3361	247	19	neural	neural	PROPN
cana-3361	247	20	-	-	PUNCT
cana-3361	247	21	based	base	VERB
cana-3361	247	22	detection	detection	NOUN
cana-3361	247	23	and	and	CCONJ
cana-3361	247	24	segmentation	segmentation	NOUN
cana-3361	247	25	of	of	ADP
cana-3361	247	26	articulated	articulated	ADJ
cana-3361	247	27	objects	object	NOUN
cana-3361	247	28	for	for	ADP
cana-3361	247	29	robotic	robotic	ADJ
cana-3361	247	30	interaction	interaction	NOUN
cana-3361	247	31	in	in	ADP
cana-3361	247	32	a	a	DET
cana-3361	247	33	household	household	NOUN
cana-3361	247	34	environment	environment	NOUN
cana-3361	247	35	.	.	PUNCT
cana-3361	248	1	appl	appl	PROPN
cana-3361	248	2	.	.	PUNCT
cana-3361	249	1	sci	sci	PROPN
cana-3361	249	2	.	.	PROPN
cana-3361	249	3	2023	2023	NUM
cana-3361	249	4	,	,	PUNCT
cana-3361	249	5	13	13	NUM
cana-3361	249	6	,	,	PUNCT
cana-3361	249	7	8751	8751	NUM
cana-3361	249	8	.	.	PUNCT
cana-3361	250	1	https://doi.org/10.3390/app13158751	https://doi.org/10.3390/app13158751	PROPN
cana-3361	251	1	[	[	X
cana-3361	251	2	12	12	NUM
cana-3361	251	3	]	]	X
cana-3361	251	4	hossein	hossein	PROPN
cana-3361	251	5	nematzadeh	nematzadeh	PROPN
cana-3361	251	6	,	,	PUNCT
cana-3361	251	7	josé	josé	PROPN
cana-3361	251	8	garcía	garcía	PROPN
cana-3361	251	9	-	-	PUNCT
cana-3361	251	10	nieto	nieto	PROPN
cana-3361	251	11	,	,	PUNCT
cana-3361	251	12	ismael	ismael	PROPN
cana-3361	251	13	navas	navas	PROPN
cana-3361	251	14	-	-	PUNCT
cana-3361	251	15	delgado	delgado	PROPN
cana-3361	251	16	,	,	PUNCT
cana-3361	251	17	josé	josé	PROPN
cana-3361	251	18	f.	f.	PROPN
cana-3361	251	19	aldana	aldana	PROPN
cana-3361	251	20	-	-	PUNCT
cana-3361	251	21	montes	montes	PROPN
cana-3361	251	22	,	,	PUNCT
cana-3361	251	23	ensemble	ensemble	ADJ
cana-3361	251	24	-	-	PUNCT
cana-3361	251	25	based	base	VERB
cana-3361	251	26	genetic	genetic	ADJ
cana-3361	251	27	algorithm	algorithm	NOUN
cana-3361	251	28	explainer	explainer	NOUN
cana-3361	251	29	with	with	ADP
cana-3361	251	30	automized	automize	VERB
cana-3361	251	31	image	image	NOUN
cana-3361	251	32	segmentation	segmentation	NOUN
cana-3361	251	33	:	:	PUNCT
cana-3361	251	34	a	a	DET
cana-3361	251	35	case	case	NOUN
cana-3361	251	36	study	study	NOUN
cana-3361	251	37	on	on	ADP
cana-3361	251	38	melanoma	melanoma	NOUN
cana-3361	251	39	detection	detection	NOUN
cana-3361	251	40	dataset	dataset	NOUN
cana-3361	251	41	,	,	PUNCT
cana-3361	251	42	computers	computer	NOUN
cana-3361	251	43	in	in	ADP
cana-3361	251	44	biology	biology	NOUN
cana-3361	251	45	and	and	CCONJ
cana-3361	251	46	medicine	medicine	NOUN
cana-3361	251	47	,	,	PUNCT
cana-3361	251	48	volume	volume	NOUN
cana-3361	251	49	155,2023,106613,issn	155,2023,106613,issn	PROPN
cana-3361	251	50	0010	0010	NUM
cana-3361	251	51	-	-	SYM
cana-3361	251	52	4825	4825	NUM
cana-3361	251	53	,	,	PUNCT
cana-3361	251	54	https://doi.org/10.1016/j.compbiomed.2023.106613	https://doi.org/10.1016/j.compbiomed.2023.106613	PROPN
cana-3361	251	55	.	.	PUNCT
cana-3361	252	1	https://doi.org/10.1007/s42979-022-01407-3	https://doi.org/10.1007/s42979-022-01407-3	X
cana-3361	253	1	https://doi.org/10.48550/arxiv.2307.08597	https://doi.org/10.48550/arxiv.2307.08597	PROPN
cana-3361	253	2	communications	communication	NOUN
cana-3361	253	3	on	on	ADP
cana-3361	253	4	applied	apply	VERB
cana-3361	253	5	nonlinear	nonlinear	ADJ
cana-3361	253	6	analysis	analysis	NOUN
cana-3361	253	7	issn	issn	NOUN
cana-3361	253	8	:	:	PUNCT
cana-3361	253	9	1074	1074	NUM
cana-3361	253	10	-	-	PUNCT
cana-3361	253	11	133x	133x	NUM
cana-3361	253	12	vol	vol	NOUN
cana-3361	253	13	32	32	NUM
cana-3361	253	14	no	no	NOUN
cana-3361	253	15	.	.	PUNCT
cana-3361	254	1	7s	7	NOUN
cana-3361	254	2	(	(	PUNCT
cana-3361	254	3	2025	2025	NUM
cana-3361	254	4	)	)	PUNCT
cana-3361	254	5	59	59	NUM
cana-3361	254	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3361	255	1	[	[	X
cana-3361	255	2	13	13	NUM
cana-3361	255	3	]	]	PUNCT
cana-3361	255	4	jared	jared	PROPN
cana-3361	255	5	cervantes	cervantes	PROPN
cana-3361	255	6	canales	canales	PROPN
cana-3361	255	7	,	,	PUNCT
cana-3361	255	8	jair	jair	PROPN
cana-3361	255	9	cervantes	cervantes	PROPN
cana-3361	255	10	canales	canales	PROPN
cana-3361	255	11	,	,	PUNCT
cana-3361	255	12	farid	farid	PROPN
cana-3361	255	13	garcía	garcía	ADJ
cana-3361	255	14	-	-	PUNCT
cana-3361	255	15	lamont	lamont	PROPN
cana-3361	255	16	,	,	PUNCT
cana-3361	255	17	arturo	arturo	PROPN
cana-3361	255	18	yee	yee	PROPN
cana-3361	255	19	-	-	PUNCT
cana-3361	255	20	rendon	rendon	PROPN
cana-3361	255	21	,	,	PUNCT
cana-3361	255	22	josé	josé	PROPN
cana-3361	255	23	sergio	sergio	PROPN
cana-3361	255	24	ruiz	ruiz	PROPN
cana-3361	255	25	castilla	castilla	PROPN
cana-3361	255	26	,	,	PUNCT
cana-3361	255	27	lisbeth	lisbeth	PROPN
cana-3361	255	28	rodriguez	rodriguez	PROPN
cana-3361	255	29	mazahua	mazahua	PROPN
cana-3361	255	30	,	,	PUNCT
cana-3361	255	31	optimal	optimal	ADJ
cana-3361	255	32	segmentation	segmentation	NOUN
cana-3361	255	33	of	of	ADP
cana-3361	255	34	image	image	NOUN
cana-3361	255	35	datasets	dataset	NOUN
cana-3361	255	36	by	by	ADP
cana-3361	255	37	genetic	genetic	ADJ
cana-3361	255	38	algorithms	algorithm	NOUN
cana-3361	255	39	using	use	VERB
cana-3361	255	40	color	color	NOUN
cana-3361	255	41	spaces	space	NOUN
cana-3361	255	42	,	,	PUNCT
cana-3361	255	43	expert	expert	NOUN
cana-3361	255	44	systems	system	NOUN
cana-3361	255	45	with	with	ADP
cana-3361	255	46	applications	application	NOUN
cana-3361	255	47	,	,	PUNCT
cana-3361	255	48	volume	volume	NOUN
cana-3361	255	49	238	238	NUM
cana-3361	255	50	,	,	PUNCT
cana-3361	255	51	part	part	NOUN
cana-3361	255	52	d,2024,121950,issn	d,2024,121950,issn	NUM
cana-3361	255	53	0957	0957	NUM
cana-3361	255	54	-	-	SYM
cana-3361	255	55	4174	4174	NUM
cana-3361	255	56	,	,	PUNCT
cana-3361	255	57	https://doi.org/10.1016/j.eswa.2023.121950	https://doi.org/10.1016/j.eswa.2023.121950	PROPN
cana-3361	255	58	.	.	PUNCT
cana-3361	256	1	[	[	X
cana-3361	256	2	14	14	NUM
cana-3361	256	3	]	]	X
cana-3361	256	4	chong	chong	PROPN
cana-3361	256	5	tan	tan	PROPN
cana-3361	256	6	,	,	PUNCT
cana-3361	256	7	ying	ying	PROPN
cana-3361	256	8	sun	sun	PROPN
cana-3361	256	9	,	,	PUNCT
cana-3361	256	10	gongfa	gongfa	PROPN
cana-3361	256	11	li	li	PROPN
cana-3361	256	12	,	,	PUNCT
cana-3361	256	13	bo	bo	PROPN
cana-3361	256	14	tao	tao	PROPN
cana-3361	256	15	,	,	PUNCT
cana-3361	256	16	shuang	shuang	PROPN
cana-3361	256	17	xu	xu	PROPN
cana-3361	256	18	,	,	PUNCT
cana-3361	256	19	and	and	CCONJ
cana-3361	256	20	fei	fei	PROPN
cana-3361	256	21	zeng	zeng	PROPN
cana-3361	256	22	.	.	PROPN
cana-3361	256	23	2019	2019	NUM
cana-3361	256	24	.	.	PUNCT
cana-3361	257	1	image	image	NOUN
cana-3361	257	2	segmentation	segmentation	NOUN
cana-3361	257	3	technology	technology	NOUN
cana-3361	257	4	based	base	VERB
cana-3361	257	5	on	on	ADP
cana-3361	257	6	genetic	genetic	ADJ
cana-3361	257	7	algorithm	algorithm	NOUN
cana-3361	257	8	.	.	PUNCT
cana-3361	258	1	in	in	ADP
cana-3361	258	2	proceedings	proceeding	NOUN
cana-3361	258	3	of	of	ADP
cana-3361	258	4	the	the	DET
cana-3361	258	5	2019	2019	NUM
cana-3361	258	6	3rd	3rd	ADJ
cana-3361	258	7	international	international	ADJ
cana-3361	258	8	conference	conference	NOUN
cana-3361	258	9	on	on	ADP
cana-3361	258	10	digital	digital	ADJ
cana-3361	258	11	signal	signal	NOUN
cana-3361	258	12	processing	processing	NOUN
cana-3361	258	13	(	(	PUNCT
cana-3361	258	14	icdsp	icdsp	NOUN
cana-3361	258	15	'	'	NUM
cana-3361	258	16	19	19	NUM
cana-3361	258	17	)	)	PUNCT
cana-3361	258	18	.	.	PUNCT
cana-3361	259	1	association	association	NOUN
cana-3361	259	2	for	for	ADP
cana-3361	259	3	computing	compute	VERB
cana-3361	259	4	machinery	machinery	NOUN
cana-3361	259	5	,	,	PUNCT
cana-3361	259	6	new	new	PROPN
cana-3361	259	7	york	york	PROPN
cana-3361	259	8	,	,	PUNCT
cana-3361	259	9	ny	ny	PROPN
cana-3361	259	10	,	,	PUNCT
cana-3361	259	11	usa	usa	PROPN
cana-3361	259	12	,	,	PUNCT
cana-3361	259	13	27–31	27–31	PROPN
cana-3361	259	14	.	.	PUNCT
cana-3361	259	15	https://doi.org/10.1145/3316551.3318229	https://doi.org/10.1145/3316551.3318229	PUNCT
cana-3361	260	1	[	[	X
cana-3361	260	2	15	15	NUM
cana-3361	260	3	]	]	X
cana-3361	260	4	jour	jour	X
cana-3361	260	5	,	,	PUNCT
cana-3361	260	6	pai	pai	PROPN
cana-3361	260	7	,	,	PUNCT
cana-3361	260	8	ping	ping	PROPN
cana-3361	260	9	feng	feng	PROPN
cana-3361	260	10	and	and	CCONJ
cana-3361	260	11	et	et	NOUN
cana-3361	260	12	.	.	PUNCT
cana-3361	261	1	all	all	PRON
cana-3361	261	2	,	,	PUNCT
cana-3361	261	3	evolutionary	evolutionary	ADJ
cana-3361	261	4	game	game	NOUN
cana-3361	261	5	algorithm	algorithm	NOUN
cana-3361	261	6	for	for	ADP
cana-3361	261	7	image	image	NOUN
cana-3361	261	8	segmentation	segmentation	NOUN
cana-3361	261	9	journal	journal	NOUN
cana-3361	261	10	of	of	ADP
cana-3361	261	11	electrical	electrical	ADJ
cana-3361	261	12	and	and	CCONJ
cana-3361	261	13	computer	computer	NOUN
cana-3361	261	14	engineering	engineering	NOUN
cana-3361	261	15	,	,	PUNCT
cana-3361	261	16	hindawi	hindawi	ADJ
cana-3361	261	17	,	,	PUNCT
cana-3361	261	18	https://doi.org/10.1155/2017/8746010	https://doi.org/10.1155/2017/8746010	PROPN
cana-3361	261	19	[	[	X
cana-3361	261	20	16	16	NUM
cana-3361	261	21	]	]	X
cana-3361	261	22	wang	wang	PROPN
cana-3361	261	23	,	,	PUNCT
cana-3361	261	24	w.	w.	PROPN
cana-3361	261	25	;	;	PUNCT
cana-3361	261	26	yousaf	yousaf	PROPN
cana-3361	261	27	,	,	PUNCT
cana-3361	261	28	m.	m.	NOUN
cana-3361	261	29	;	;	PUNCT
cana-3361	261	30	liu	liu	PROPN
cana-3361	261	31	,	,	PUNCT
cana-3361	261	32	d.	d.	PROPN
cana-3361	261	33	;	;	PUNCT
cana-3361	261	34	sohail	sohail	PROPN
cana-3361	261	35	,	,	PUNCT
cana-3361	261	36	a.	a.	NOUN
cana-3361	261	37	a	a	DET
cana-3361	261	38	comparative	comparative	ADJ
cana-3361	261	39	study	study	NOUN
cana-3361	261	40	of	of	ADP
cana-3361	261	41	the	the	DET
cana-3361	261	42	genetic	genetic	ADJ
cana-3361	261	43	deep	deep	ADJ
cana-3361	261	44	learning	learn	VERB
cana-3361	261	45	image	image	NOUN
cana-3361	261	46	,	,	PUNCT
cana-3361	261	47	segmentation	segmentation	NOUN
cana-3361	261	48	algorithms	algorithm	NOUN
cana-3361	261	49	.	.	PUNCT
cana-3361	262	1	symmetry	symmetry	NOUN
cana-3361	262	2	,	,	PUNCT
cana-3361	262	3	2022	2022	NUM
cana-3361	262	4	,	,	PUNCT
cana-3361	262	5	14	14	NUM
cana-3361	262	6	,	,	PUNCT
cana-3361	262	7	1977	1977	NUM
cana-3361	262	8	.	.	PUNCT
cana-3361	263	1	https://doi.org/10.3390/sym14101977	https://doi.org/10.3390/sym14101977	X
cana-3361	263	2	[	[	X
cana-3361	263	3	17	17	NUM
cana-3361	263	4	]	]	X
cana-3361	263	5	khouy	khouy	PROPN
cana-3361	263	6	,	,	PUNCT
cana-3361	263	7	mohammed	mohammed	PROPN
cana-3361	263	8	,	,	PUNCT
cana-3361	263	9	younes	younes	PROPN
cana-3361	263	10	jabrane	jabrane	PROPN
cana-3361	263	11	,	,	PUNCT
cana-3361	263	12	mustapha	mustapha	PROPN
cana-3361	263	13	ameur	ameur	PROPN
cana-3361	263	14	,	,	PUNCT
cana-3361	263	15	and	and	CCONJ
cana-3361	263	16	amir	amir	PROPN
cana-3361	263	17	hajjam	hajjam	PROPN
cana-3361	263	18	el	el	PROPN
cana-3361	263	19	hassani	hassani	PROPN
cana-3361	263	20	.	.	PUNCT
cana-3361	264	1	2023	2023	NUM
cana-3361	264	2	.	.	PUNCT
cana-3361	265	1	"	"	PUNCT
cana-3361	265	2	medical	medical	ADJ
cana-3361	265	3	image	image	NOUN
cana-3361	265	4	segmentation	segmentation	NOUN
cana-3361	265	5	using	use	VERB
cana-3361	265	6	automatic	automatic	ADJ
cana-3361	265	7	optimized	optimize	VERB
cana-3361	265	8	u	u	ADJ
cana-3361	265	9	-	-	ADJ
cana-3361	265	10	net	net	ADJ
cana-3361	265	11	architecture	architecture	NOUN
cana-3361	265	12	based	base	VERB
cana-3361	265	13	on	on	ADP
cana-3361	265	14	genetic	genetic	ADJ
cana-3361	265	15	algorithm	algorithm	NOUN
cana-3361	265	16	"	"	PUNCT
cana-3361	265	17	,	,	PUNCT
cana-3361	265	18	journal	journal	NOUN
cana-3361	265	19	of	of	ADP
cana-3361	265	20	personalized	personalized	ADJ
cana-3361	265	21	medicine	medicine	NOUN
cana-3361	265	22	13	13	NUM
cana-3361	265	23	,	,	PUNCT
cana-3361	265	24	no	no	INTJ
cana-3361	265	25	.	.	NOUN
cana-3361	265	26	9	9	NUM
cana-3361	265	27	:	:	SYM
cana-3361	265	28	1298	1298	NUM
cana-3361	265	29	.	.	PUNCT
cana-3361	266	1	https://doi.org/10.3390/jpm13091298	https://doi.org/10.3390/jpm13091298	PRON
cana-3361	267	1	[	[	X
cana-3361	267	2	18	18	NUM
cana-3361	267	3	]	]	X
cana-3361	267	4	pereira	pereira	PROPN
cana-3361	267	5	,	,	PUNCT
cana-3361	267	6	erico	erico	NOUN
cana-3361	267	7	&	&	CCONJ
cana-3361	267	8	torres	torre	NOUN
cana-3361	267	9	,	,	PUNCT
cana-3361	267	10	ricardo	ricardo	PROPN
cana-3361	267	11	&	&	CCONJ
cana-3361	267	12	dos	dos	PROPN
cana-3361	267	13	santos	santos	PROPN
cana-3361	267	14	,	,	PUNCT
cana-3361	267	15	jefersson	jefersson	NOUN
cana-3361	267	16	.	.	PUNCT
cana-3361	268	1	(	(	PUNCT
cana-3361	268	2	2021	2021	NUM
cana-3361	268	3	)	)	PUNCT
cana-3361	268	4	.	.	PUNCT
cana-3361	269	1	a	a	DET
cana-3361	269	2	genetic	genetic	ADJ
cana-3361	269	3	algorithm	algorithm	NOUN
cana-3361	269	4	approach	approach	NOUN
cana-3361	269	5	for	for	ADP
cana-3361	269	6	image	image	NOUN
cana-3361	269	7	representation	representation	NOUN
cana-3361	269	8	learning	learn	VERB
cana-3361	269	9	through	through	ADP
cana-3361	269	10	color	color	NOUN
cana-3361	269	11	quantization	quantization	NOUN
cana-3361	269	12	.	.	PUNCT
cana-3361	270	1	multimedia	multimedia	NOUN
cana-3361	270	2	tools	tool	NOUN
cana-3361	270	3	and	and	CCONJ
cana-3361	270	4	applications	application	NOUN
cana-3361	270	5	.	.	PUNCT
cana-3361	271	1	80	80	NUM
cana-3361	271	2	.	.	PUNCT
cana-3361	271	3	10.1007	10.1007	NUM
cana-3361	271	4	/	/	SYM
cana-3361	271	5	s11042	s11042	PROPN
cana-3361	271	6	-	-	PUNCT
cana-3361	271	7	02010194	02010194	NUM
cana-3361	271	8	-	-	PUNCT
cana-3361	271	9	z.	z.	NOUN
cana-3361	272	1	[	[	X
cana-3361	272	2	19	19	NUM
cana-3361	272	3	]	]	X
cana-3361	272	4	peng	peng	PROPN
cana-3361	272	5	z	z	PROPN
cana-3361	272	6	,	,	PUNCT
cana-3361	272	7	wang	wang	PROPN
cana-3361	272	8	l	l	PROPN
cana-3361	272	9	,	,	PUNCT
cana-3361	272	10	tong	tong	PROPN
cana-3361	272	11	l	l	PROPN
cana-3361	272	12	,	,	PUNCT
cana-3361	272	13	zou	zou	PROPN
cana-3361	272	14	h	h	PROPN
cana-3361	272	15	,	,	PUNCT
cana-3361	272	16	liu	liu	PROPN
cana-3361	272	17	d	d	PROPN
cana-3361	272	18	,	,	PUNCT
cana-3361	272	19	et	et	PROPN
cana-3361	272	20	al	al	PROPN
cana-3361	272	21	.	.	PROPN
cana-3361	273	1	(	(	PUNCT
cana-3361	273	2	2023	2023	NUM
cana-3361	273	3	)	)	PUNCT
cana-3361	273	4	multi	multi	ADJ
cana-3361	273	5	-	-	ADJ
cana-3361	273	6	threshold	threshold	ADJ
cana-3361	273	7	image	image	NOUN
cana-3361	273	8	segmentation	segmentation	NOUN
cana-3361	273	9	of	of	ADP
cana-3361	273	10	2d	2d	PROPN
cana-3361	273	11	otsu	otsu	PROPN
cana-3361	273	12	inland	inland	ADJ
cana-3361	273	13	ships	ship	NOUN
cana-3361	273	14	based	base	VERB
cana-3361	273	15	on	on	ADP
cana-3361	273	16	improved	improve	VERB
cana-3361	273	17	genetic	genetic	ADJ
cana-3361	273	18	algorithm	algorithm	NOUN
cana-3361	273	19	.	.	PUNCT
cana-3361	274	1	plos	plos	PROPN
cana-3361	274	2	one	one	NUM
cana-3361	274	3	18(8	18(8	NUM
cana-3361	274	4	):	):	PUNCT
cana-3361	274	5	e0290750	e0290750	PROPN
cana-3361	274	6	.	.	PUNCT
cana-3361	275	1	https://doi.org/10.1371/journal.pone.0290750	https://doi.org/10.1371/journal.pone.0290750	NOUN
cana-3361	276	1	[	[	X
cana-3361	276	2	20	20	NUM
cana-3361	276	3	]	]	PUNCT
cana-3361	276	4	das	das	PROPN
cana-3361	276	5	,	,	PUNCT
cana-3361	276	6	sunanda	sunanda	PROPN
cana-3361	276	7	,	,	PUNCT
cana-3361	276	8	sourav	sourav	PROPN
cana-3361	276	9	de	de	PROPN
cana-3361	276	10	,	,	PUNCT
cana-3361	276	11	and	and	CCONJ
cana-3361	276	12	siddhartha	siddhartha	PROPN
cana-3361	276	13	bhattacharyya	bhattacharyya	ADJ
cana-3361	276	14	.	.	PUNCT
cana-3361	277	1	"	"	PUNCT
cana-3361	277	2	true	true	ADJ
cana-3361	277	3	color	color	NOUN
cana-3361	277	4	image	image	NOUN
cana-3361	277	5	segmentation	segmentation	NOUN
cana-3361	277	6	using	use	VERB
cana-3361	277	7	quantuminduced	quantuminduce	VERB
cana-3361	277	8	modified	modify	VERB
cana-3361	277	9	-	-	PUNCT
cana-3361	277	10	genetic	genetic	ADJ
cana-3361	277	11	-	-	PUNCT
cana-3361	277	12	algorithm	algorithm	NOUN
cana-3361	277	13	-	-	PUNCT
cana-3361	277	14	based	base	VERB
cana-3361	277	15	fcm	fcm	PROPN
cana-3361	277	16	algorithm	algorithm	NOUN
cana-3361	277	17	.	.	PUNCT
cana-3361	278	1	"	"	PUNCT
cana-3361	278	2	,	,	PUNCT
cana-3361	278	3	research	research	NOUN
cana-3361	278	4	anthology	anthology	NOUN
cana-3361	278	5	on	on	ADP
cana-3361	278	6	advancements	advancement	NOUN
cana-3361	278	7	in	in	ADP
cana-3361	278	8	quantum	quantum	ADJ
cana-3361	278	9	technology	technology	NOUN
cana-3361	278	10	,	,	PUNCT
cana-3361	278	11	edited	edit	VERB
cana-3361	278	12	by	by	ADP
cana-3361	278	13	information	information	NOUN
cana-3361	278	14	resources	resource	NOUN
cana-3361	278	15	management	management	PROPN
cana-3361	278	16	association	association	NOUN
cana-3361	278	17	,	,	PUNCT
cana-3361	278	18	164	164	NUM
cana-3361	278	19	-	-	SYM
cana-3361	278	20	196	196	NUM
cana-3361	278	21	.	.	PUNCT
cana-3361	279	1	hershey	hershey	PROPN
cana-3361	279	2	,	,	PUNCT
cana-3361	279	3	pa	pa	PROPN
cana-3361	279	4	:	:	PUNCT
cana-3361	279	5	igi	igi	PROPN
cana-3361	279	6	global	global	NOUN
cana-3361	279	7	,	,	PUNCT
cana-3361	279	8	2021	2021	NUM
cana-3361	279	9	.	.	PUNCT
cana-3361	280	1	https://doi.org/10.4018/978-1-7998-8593-1.ch007	https://doi.org/10.4018/978-1-7998-8593-1.ch007	ADJ
cana-3361	280	2	.	.	PUNCT
cana-3361	281	1	[	[	X
cana-3361	281	2	21	21	NUM
cana-3361	281	3	]	]	SYM
cana-3361	281	4	wu	wu	PROPN
cana-3361	281	5	,	,	PUNCT
cana-3361	281	6	yanyan	yanyan	ADJ
cana-3361	281	7	,	,	PUNCT
cana-3361	281	8	and	and	CCONJ
cana-3361	281	9	qian	qian	PROPN
cana-3361	281	10	li	li	PROPN
cana-3361	281	11	.	.	PROPN
cana-3361	281	12	2022	2022	NUM
cana-3361	281	13	.	.	PUNCT
cana-3361	282	1	"	"	PUNCT
cana-3361	282	2	the	the	DET
cana-3361	282	3	algorithm	algorithm	NOUN
cana-3361	282	4	of	of	ADP
cana-3361	282	5	watershed	watershe	VERB
cana-3361	282	6	color	color	NOUN
cana-3361	282	7	image	image	NOUN
cana-3361	282	8	segmentation	segmentation	NOUN
cana-3361	282	9	based	base	VERB
cana-3361	282	10	on	on	ADP
cana-3361	282	11	morphological	morphological	ADJ
cana-3361	282	12	gradient	gradient	NOUN
cana-3361	282	13	"	"	PUNCT
cana-3361	282	14	sensors	sensor	NOUN
cana-3361	282	15	22	22	NUM
cana-3361	282	16	,	,	PUNCT
cana-3361	282	17	no	no	INTJ
cana-3361	282	18	.	.	NOUN
cana-3361	282	19	21	21	NUM
cana-3361	282	20	:	:	PUNCT
cana-3361	282	21	8202	8202	NUM
cana-3361	282	22	.	.	PUNCT
cana-3361	283	1	https://doi.org/10.3390/s22218202	https://doi.org/10.3390/s22218202	PROPN
cana-3361	284	1	[	[	X
cana-3361	284	2	22	22	NUM
cana-3361	284	3	]	]	X
cana-3361	284	4	kornilov	kornilov	PROPN
cana-3361	284	5	,	,	PUNCT
cana-3361	284	6	anton	anton	PROPN
cana-3361	284	7	s.	s.	PROPN
cana-3361	284	8	,	,	PUNCT
cana-3361	284	9	and	and	CCONJ
cana-3361	284	10	ilia	ilia	PROPN
cana-3361	284	11	v.	v.	PROPN
cana-3361	284	12	safonov	safonov	PROPN
cana-3361	284	13	.	.	PUNCT
cana-3361	285	1	2018	2018	NUM
cana-3361	285	2	.	.	PUNCT
cana-3361	286	1	"	"	PUNCT
cana-3361	286	2	an	an	DET
cana-3361	286	3	overview	overview	NOUN
cana-3361	286	4	of	of	ADP
cana-3361	286	5	watershed	watershe	VERB
cana-3361	286	6	algorithm	algorithm	NOUN
cana-3361	286	7	implementations	implementation	NOUN
cana-3361	286	8	in	in	ADP
cana-3361	286	9	open	open	ADJ
cana-3361	286	10	source	source	NOUN
cana-3361	286	11	libraries	library	NOUN
cana-3361	286	12	"	"	PUNCT
cana-3361	286	13	journal	journal	NOUN
cana-3361	286	14	of	of	ADP
cana-3361	286	15	imaging	imaging	NOUN
cana-3361	286	16	4	4	NUM
cana-3361	286	17	,	,	PUNCT
cana-3361	286	18	no	no	INTJ
cana-3361	286	19	.	.	NOUN
cana-3361	286	20	10	10	NUM
cana-3361	286	21	:	:	SYM
cana-3361	286	22	123	123	NUM
cana-3361	286	23	.	.	PUNCT
cana-3361	287	1	https://doi.org/10.3390/jimaging4100123	https://doi.org/10.3390/jimaging4100123	NOUN
cana-3361	287	2	[	[	X
cana-3361	287	3	23	23	NUM
cana-3361	287	4	]	]	PUNCT
cana-3361	287	5	sasikaladevi	sasikaladevi	NOUN
cana-3361	287	6	v	v	NOUN
cana-3361	287	7	and	and	CCONJ
cana-3361	287	8	mangai	mangai	NOUN
cana-3361	287	9	v	v	NOUN
cana-3361	287	10	,	,	PUNCT
cana-3361	287	11	colour	colour	NOUN
cana-3361	287	12	based	base	VERB
cana-3361	287	13	image	image	NOUN
cana-3361	287	14	segmentation	segmentation	NOUN
cana-3361	287	15	using	use	VERB
cana-3361	287	16	hybrid	hybrid	ADJ
cana-3361	287	17	kmeans	kmean	NOUN
cana-3361	287	18	with	with	ADP
cana-3361	287	19	watershed	watershed	ADJ
cana-3361	287	20	segmentation	segmentation	NOUN
cana-3361	287	21	,	,	PUNCT
cana-3361	287	22	international	international	ADJ
cana-3361	287	23	journal	journal	NOUN
cana-3361	287	24	of	of	ADP
cana-3361	287	25	mechanical	mechanical	ADJ
cana-3361	287	26	engineering	engineering	NOUN
cana-3361	287	27	and	and	CCONJ
cana-3361	287	28	technology	technology	NOUN
cana-3361	287	29	9(8	9(8	NUM
cana-3361	287	30	)	)	PUNCT
cana-3361	287	31	,	,	PUNCT
cana-3361	287	32	2018	2018	NUM
cana-3361	287	33	,	,	PUNCT
cana-3361	287	34	pp	pp	ADJ
cana-3361	287	35	.	.	PUNCT
cana-3361	288	1	1367–1377	1367–1377	NUM
cana-3361	288	2	.	.	PUNCT
cana-3361	289	1	http://iaeme.com/home/issue/ijmet?volume=9&issue=8	http://iaeme.com/home/issue/ijmet?volume=9&issue=8	PROPN
cana-3361	289	2	[	[	X
cana-3361	289	3	24	24	NUM
cana-3361	289	4	]	]	SYM
cana-3361	289	5	prasad	prasad	PROPN
cana-3361	289	6	,	,	PUNCT
cana-3361	289	7	kalivara	kalivara	PROPN
cana-3361	289	8	&	&	CCONJ
cana-3361	289	9	prasad	prasad	PROPN
cana-3361	289	10	,	,	PUNCT
cana-3361	289	11	m.v.d	m.v.d	PROPN
cana-3361	289	12	.	.	PROPN
cana-3361	289	13	&	&	CCONJ
cana-3361	289	14	prasad	prasad	PROPN
cana-3361	289	15	,	,	PUNCT
cana-3361	289	16	raghava	raghava	NOUN
cana-3361	289	17	&	&	CCONJ
cana-3361	289	18	sasikala	sasikala	PROPN
cana-3361	289	19	,	,	PUNCT
cana-3361	289	20	nellutla	nellutla	NOUN
cana-3361	289	21	&	&	CCONJ
cana-3361	289	22	ravi	ravi	PROPN
cana-3361	289	23	,	,	PUNCT
cana-3361	289	24	s	s	AUX
cana-3361	289	25	..	..	PUNCT
cana-3361	289	26	(	(	PUNCT
cana-3361	289	27	2018	2018	NUM
cana-3361	289	28	)	)	PUNCT
cana-3361	289	29	.	.	PUNCT
cana-3361	290	1	flower	flower	NOUN
cana-3361	290	2	image	image	NOUN
cana-3361	290	3	segmentation	segmentation	NOUN
cana-3361	290	4	using	use	VERB
cana-3361	290	5	watershed	watershed	NOUN
cana-3361	290	6	and	and	CCONJ
cana-3361	290	7	marker	marker	NOUN
cana-3361	290	8	controlled	control	VERB
cana-3361	290	9	watershed	watershed	NOUN
cana-3361	290	10	transform	transform	NOUN
cana-3361	290	11	domain	domain	NOUN
cana-3361	290	12	algorithms	algorithm	NOUN
cana-3361	290	13	.	.	PUNCT
cana-3361	291	1	arpn	arpn	VERB
cana-3361	291	2	journal	journal	PROPN
cana-3361	291	3	of	of	ADP
cana-3361	291	4	engineering	engineering	NOUN
cana-3361	291	5	and	and	CCONJ
cana-3361	291	6	applied	apply	VERB
cana-3361	291	7	sciences	science	NOUN
cana-3361	291	8	.	.	PUNCT
cana-3361	292	1	13	13	NUM
cana-3361	292	2	.	.	X
cana-3361	292	3	8441	8441	NUM
cana-3361	292	4	-	-	SYM
cana-3361	292	5	8455	8455	NUM
cana-3361	292	6	.	.	PUNCT
cana-3361	293	1	[	[	X
cana-3361	293	2	25	25	NUM
cana-3361	293	3	]	]	PUNCT
cana-3361	293	4	rubesh	rubesh	NOUN
cana-3361	293	5	,	,	PUNCT
cana-3361	293	6	hema	hema	PROPN
cana-3361	293	7	.	.	PUNCT
cana-3361	293	8	(	(	PUNCT
cana-3361	293	9	2020	2020	NUM
cana-3361	293	10	)	)	PUNCT
cana-3361	293	11	.	.	PUNCT
cana-3361	294	1	interactive	interactive	ADJ
cana-3361	294	2	color	color	NOUN
cana-3361	294	3	image	image	NOUN
cana-3361	294	4	segmentation	segmentation	NOUN
cana-3361	294	5	using	use	VERB
cana-3361	294	6	hsv	hsv	PROPN
cana-3361	294	7	color	color	NOUN
cana-3361	294	8	space	space	NOUN
cana-3361	294	9	.	.	PUNCT
cana-3361	295	1	science	science	PROPN
cana-3361	295	2	&	&	CCONJ
cana-3361	295	3	technology	technology	PROPN
cana-3361	295	4	journal	journal	NOUN
cana-3361	295	5	.	.	PUNCT
cana-3361	296	1	7	7	NUM
cana-3361	296	2	.	.	X
cana-3361	296	3	37	37	NUM
cana-3361	296	4	-	-	SYM
cana-3361	296	5	41	41	NUM
cana-3361	296	6	.	.	PUNCT
cana-3361	297	1	10.22232	10.22232	NUM
cana-3361	297	2	/	/	SYM
cana-3361	297	3	stj.2019.07.01.05	stj.2019.07.01.05	NOUN
cana-3361	297	4	.	.	PUNCT
cana-3361	298	1	[	[	X
cana-3361	298	2	26	26	NUM
cana-3361	298	3	]	]	X
cana-3361	298	4	moreels	moreel	NOUN
cana-3361	298	5	,	,	PUNCT
cana-3361	298	6	p.	p.	NOUN
cana-3361	298	7	,	,	PUNCT
cana-3361	298	8	&	&	CCONJ
cana-3361	298	9	perona	perona	PROPN
cana-3361	298	10	,	,	PUNCT
cana-3361	298	11	p.	p.	NOUN
cana-3361	298	12	(	(	PUNCT
cana-3361	298	13	2022	2022	NUM
cana-3361	298	14	)	)	PUNCT
cana-3361	298	15	.	.	PUNCT
cana-3361	299	1	caltech	caltech	PROPN
cana-3361	299	2	home	home	PROPN
cana-3361	299	3	objects	object	VERB
cana-3361	299	4	2006	2006	NUM
cana-3361	299	5	(	(	PUNCT
cana-3361	299	6	1.0	1.0	NUM
cana-3361	299	7	)	)	PUNCT
cana-3361	300	1	[	[	X
cana-3361	300	2	data	datum	NOUN
cana-3361	300	3	set	set	VERB
cana-3361	300	4	]	]	PUNCT
cana-3361	300	5	.	.	PUNCT
cana-3361	301	1	caltechdata	caltechdata	NOUN
cana-3361	301	2	.	.	PUNCT
cana-3361	302	1	ttps://doi.org/10.22002/d1.20089	ttps://doi.org/10.22002/d1.20089	NOUN
cana-3361	302	2	https://doi.org/10.4018/978-1-7998-8593-1.ch007	https://doi.org/10.4018/978-1-7998-8593-1.ch007	VERB
cana-3361	302	3	communications	communication	NOUN
cana-3361	302	4	on	on	ADP
cana-3361	302	5	applied	apply	VERB
cana-3361	302	6	nonlinear	nonlinear	ADJ
cana-3361	302	7	analysis	analysis	NOUN
cana-3361	302	8	issn	issn	NOUN
cana-3361	302	9	:	:	PUNCT
cana-3361	302	10	1074	1074	NUM
cana-3361	302	11	-	-	PUNCT
cana-3361	302	12	133x	133x	NUM
cana-3361	302	13	vol	vol	NOUN
cana-3361	302	14	32	32	NUM
cana-3361	302	15	no	no	NOUN
cana-3361	302	16	.	.	PUNCT
cana-3361	303	1	7s	7	NOUN
cana-3361	303	2	(	(	PUNCT
cana-3361	303	3	2025	2025	NUM
cana-3361	303	4	)	)	PUNCT
cana-3361	303	5	60	60	NUM
cana-3361	303	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3361	303	7	from	from	ADP
cana-3361	303	8	last	last	ADJ
cana-3361	303	9	15	15	NUM
cana-3361	303	10	years	year	NOUN
cana-3361	303	11	,	,	PUNCT
cana-3361	303	12	prof	prof	PROPN
cana-3361	303	13	.	.	PUNCT
cana-3361	304	1	smita	smita	PROPN
cana-3361	304	2	gour	gour	PROPN
cana-3361	304	3	is	be	AUX
cana-3361	304	4	working	work	VERB
cana-3361	304	5	as	as	ADP
cana-3361	304	6	assistant	assistant	NOUN
cana-3361	304	7	professor	professor	NOUN
cana-3361	304	8	in	in	ADP
cana-3361	304	9	the	the	DET
cana-3361	304	10	department	department	NOUN
cana-3361	304	11	of	of	ADP
cana-3361	304	12	computer	computer	NOUN
cana-3361	304	13	science	science	NOUN
cana-3361	304	14	and	and	CCONJ
cana-3361	304	15	engineering	engineering	NOUN
cana-3361	304	16	at	at	ADP
cana-3361	304	17	basaveshwar	basaveshwar	PROPN
cana-3361	304	18	engineering	engineering	PROPN
cana-3361	304	19	college	college	PROPN
cana-3361	304	20	,	,	PUNCT
cana-3361	304	21	bagalkote	bagalkote	PROPN
cana-3361	304	22	,	,	PUNCT
cana-3361	304	23	karnataka	karnataka	PROPN
cana-3361	304	24	,	,	PUNCT
cana-3361	304	25	india	india	PROPN
cana-3361	304	26	.	.	PUNCT
cana-3361	305	1	she	she	PRON
cana-3361	305	2	completed	complete	VERB
cana-3361	305	3	post	post	NOUN
cana-3361	305	4	-	-	NOUN
cana-3361	305	5	graduation	graduation	NOUN
cana-3361	305	6	from	from	ADP
cana-3361	305	7	vishweshwaraya	vishweshwaraya	NOUN
cana-3361	305	8	technological	technological	ADJ
cana-3361	305	9	university	university	NOUN
cana-3361	305	10	,	,	PUNCT
cana-3361	305	11	belagavi	belagavi	VERB
cana-3361	305	12	,	,	PUNCT
cana-3361	305	13	karnataka	karnataka	PROPN
cana-3361	305	14	.	.	PUNCT
cana-3361	306	1	her	her	PRON
cana-3361	306	2	field	field	NOUN
cana-3361	306	3	of	of	ADP
cana-3361	306	4	interest	interest	NOUN
cana-3361	306	5	is	be	AUX
cana-3361	306	6	digital	digital	ADJ
cana-3361	306	7	image	image	NOUN
cana-3361	306	8	processing	processing	NOUN
cana-3361	306	9	and	and	CCONJ
cana-3361	306	10	mahine	mahine	PROPN
cana-3361	306	11	learning	learning	PROPN
cana-3361	306	12	.	.	PUNCT
cana-3361	307	1	she	she	PRON
cana-3361	307	2	attended	attend	VERB
cana-3361	307	3	lots	lot	NOUN
cana-3361	307	4	of	of	ADP
cana-3361	307	5	national	national	ADJ
cana-3361	307	6	and	and	CCONJ
cana-3361	307	7	international	international	ADJ
cana-3361	307	8	conference	conference	NOUN
cana-3361	307	9	and	and	CCONJ
cana-3361	307	10	numbers	number	NOUN
cana-3361	307	11	of	of	ADP
cana-3361	307	12	research	research	NOUN
cana-3361	307	13	papers	paper	NOUN
cana-3361	307	14	published	publish	VERB
cana-3361	307	15	in	in	ADP
cana-3361	307	16	her	her	PRON
cana-3361	307	17	field	field	NOUN
cana-3361	307	18	dr	dr	PROPN
cana-3361	307	19	.	.	PROPN
cana-3361	307	20	pushpa	pushpa	PROPN
cana-3361	307	21	b.	b.	PROPN
cana-3361	307	22	patil	patil	PROPN
cana-3361	307	23	,	,	PUNCT
cana-3361	307	24	working	work	VERB
cana-3361	307	25	as	as	ADP
cana-3361	307	26	professor	professor	NOUN
cana-3361	307	27	and	and	CCONJ
cana-3361	307	28	head	head	NOUN
cana-3361	307	29	in	in	ADP
cana-3361	307	30	the	the	DET
cana-3361	307	31	department	department	NOUN
cana-3361	307	32	of	of	ADP
cana-3361	307	33	computer	computer	NOUN
cana-3361	307	34	science	science	NOUN
cana-3361	307	35	and	and	CCONJ
cana-3361	307	36	engineering	engineering	NOUN
cana-3361	307	37	at	at	ADP
cana-3361	307	38	bldea	bldea	NOUN
cana-3361	307	39	’s	’s	PART
cana-3361	307	40	cet	cet	PROPN
cana-3361	307	41	,	,	PUNCT
cana-3361	307	42	vijayapur	vijayapur	PROPN
cana-3361	307	43	,	,	PUNCT
cana-3361	307	44	karnataka	karnataka	PROPN
cana-3361	307	45	.	.	PUNCT
cana-3361	308	1	she	she	PRON
cana-3361	308	2	completed	complete	VERB
cana-3361	308	3	post	post	NOUN
cana-3361	308	4	-	-	NOUN
cana-3361	308	5	graduation	graduation	NOUN
cana-3361	308	6	from	from	ADP
cana-3361	308	7	vishweshwaraya	vishweshwaraya	NOUN
cana-3361	308	8	technological	technological	ADJ
cana-3361	308	9	university	university	NOUN
cana-3361	308	10	,	,	PUNCT
cana-3361	308	11	belagavi	belagavi	VERB
cana-3361	308	12	,	,	PUNCT
cana-3361	308	13	karnataka	karnataka	NOUN
cana-3361	308	14	and	and	CCONJ
cana-3361	308	15	phd	phd	NOUN
cana-3361	308	16	from	from	ADP
cana-3361	308	17	swami	swami	PROPN
cana-3361	308	18	ramanand	ramanand	NOUN
cana-3361	308	19	teerth	teerth	PROPN
cana-3361	308	20	marathwada	marathwada	PROPN
cana-3361	308	21	university	university	PROPN
cana-3361	308	22	.	.	PUNCT
cana-3361	309	1	nanded-431606	nanded-431606	PROPN
cana-3361	309	2	,	,	PUNCT
cana-3361	309	3	maharashtra	maharashtra	PROPN
cana-3361	309	4	state	state	PROPN
cana-3361	309	5	,	,	PUNCT
cana-3361	309	6	india	india	PROPN
cana-3361	309	7	.	.	PUNCT
cana-3361	310	1	her	her	PRON
cana-3361	310	2	field	field	NOUN
cana-3361	310	3	of	of	ADP
cana-3361	310	4	interest	interest	NOUN
cana-3361	310	5	is	be	AUX
cana-3361	310	6	digital	digital	ADJ
cana-3361	310	7	image	image	NOUN
cana-3361	310	8	processing	processing	NOUN
cana-3361	310	9	and	and	CCONJ
cana-3361	310	10	mahine	mahine	PROPN
cana-3361	310	11	learning	learning	PROPN
cana-3361	310	12	.	.	PUNCT
cana-3361	311	1	she	she	PRON
cana-3361	311	2	attended	attend	VERB
cana-3361	311	3	lots	lot	NOUN
cana-3361	311	4	of	of	ADP
cana-3361	311	5	national	national	ADJ
cana-3361	311	6	and	and	CCONJ
cana-3361	311	7	international	international	ADJ
cana-3361	311	8	conference	conference	NOUN
cana-3361	311	9	and	and	CCONJ
cana-3361	311	10	numbers	number	NOUN
cana-3361	311	11	of	of	ADP
cana-3361	311	12	research	research	NOUN
cana-3361	311	13	papers	paper	NOUN
cana-3361	311	14	published	publish	VERB
cana-3361	311	15	in	in	ADP
cana-3361	311	16	my	my	PRON
cana-3361	311	17	field	field	NOUN