id	sid	tid	token	lemma	pos
cana-1015	1	1	communications	communication	NOUN
cana-1015	1	2	on	on	ADP
cana-1015	1	3	applied	apply	VERB
cana-1015	1	4	nonlinear	nonlinear	ADJ
cana-1015	1	5	analysis	analysis	NOUN
cana-1015	1	6	issn	issn	NOUN
cana-1015	1	7	:	:	PUNCT
cana-1015	1	8	1074	1074	NUM
cana-1015	1	9	-	-	PUNCT
cana-1015	1	10	133x	133x	NUM
cana-1015	1	11	vol	vol	NOUN
cana-1015	1	12	31	31	NUM
cana-1015	1	13	no	no	NOUN
cana-1015	1	14	.	.	PUNCT
cana-1015	2	1	5s	5s	NUM
cana-1015	2	2	(	(	PUNCT
cana-1015	2	3	2024	2024	NUM
cana-1015	2	4	)	)	PUNCT
cana-1015	2	5	204	204	NUM
cana-1015	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1015	2	7	optimizing	optimize	VERB
cana-1015	2	8	weight	weight	NOUN
cana-1015	2	9	functions	function	NOUN
cana-1015	2	10	for	for	ADP
cana-1015	2	11	enhanced	enhanced	ADJ
cana-1015	2	12	image	image	NOUN
cana-1015	2	13	segmentation	segmentation	NOUN
cana-1015	2	14	using	use	VERB
cana-1015	2	15	normalized	normalized	AUX
cana-1015	2	16	cut	cut	VERB
cana-1015	2	17	subhashree	subhashree	PROPN
cana-1015	2	18	abinash1,2	abinash1,2	PROPN
cana-1015	2	19	,	,	PUNCT
cana-1015	2	20	sabyasachi	sabyasachi	ADJ
cana-1015	2	21	pattnaik2	pattnaik2	NOUN
cana-1015	2	22	1	1	NUM
cana-1015	2	23	synergy	synergy	NOUN
cana-1015	2	24	institute	institute	NOUN
cana-1015	2	25	of	of	ADP
cana-1015	2	26	engineering	engineering	NOUN
cana-1015	2	27	and	and	CCONJ
cana-1015	2	28	technology	technology	NOUN
cana-1015	2	29	,	,	PUNCT
cana-1015	2	30	dhenkanal	dhenkanal	ADJ
cana-1015	2	31	,	,	PUNCT
cana-1015	2	32	india	india	PROPN
cana-1015	2	33	.	.	PROPN
cana-1015	2	34	2	2	NUM
cana-1015	2	35	fakir	fakir	PROPN
cana-1015	2	36	mohan	mohan	PROPN
cana-1015	2	37	university	university	PROPN
cana-1015	2	38	,	,	PUNCT
cana-1015	2	39	balasore	balasore	NOUN
cana-1015	2	40	,	,	PUNCT
cana-1015	2	41	india	india	PROPN
cana-1015	2	42	,	,	PUNCT
cana-1015	2	43	https:/fmuniversity.nic.in	https:/fmuniversity.nic.in	PART
cana-1015	2	44	article	article	NOUN
cana-1015	2	45	history	history	NOUN
cana-1015	2	46	:	:	PUNCT
cana-1015	2	47	received	receive	VERB
cana-1015	2	48	:	:	PUNCT
cana-1015	2	49	10	10	NUM
cana-1015	2	50	-	-	SYM
cana-1015	2	51	05	05	NUM
cana-1015	2	52	-	-	PUNCT
cana-1015	2	53	2024	2024	NUM
cana-1015	2	54	revised	revise	VERB
cana-1015	2	55	:	:	PUNCT
cana-1015	2	56	22	22	NUM
cana-1015	2	57	-	-	SYM
cana-1015	2	58	06	06	NUM
cana-1015	2	59	-	-	PUNCT
cana-1015	2	60	2024	2024	NUM
cana-1015	2	61	accepted	accept	VERB
cana-1015	2	62	:	:	PUNCT
cana-1015	2	63	04	04	NUM
cana-1015	2	64	-	-	PUNCT
cana-1015	2	65	07	07	NUM
cana-1015	2	66	-	-	PUNCT
cana-1015	2	67	2024	2024	NUM
cana-1015	2	68	abstract	abstract	ADJ
cana-1015	2	69	effective	effective	ADJ
cana-1015	2	70	image	image	NOUN
cana-1015	2	71	segmentation	segmentation	NOUN
cana-1015	2	72	remains	remain	VERB
cana-1015	2	73	a	a	DET
cana-1015	2	74	fundamental	fundamental	ADJ
cana-1015	2	75	challenge	challenge	NOUN
cana-1015	2	76	in	in	ADP
cana-1015	2	77	computer	computer	NOUN
cana-1015	2	78	vision	vision	NOUN
cana-1015	2	79	,	,	PUNCT
cana-1015	2	80	with	with	ADP
cana-1015	2	81	the	the	DET
cana-1015	2	82	normalized	normalize	VERB
cana-1015	2	83	cut	cut	NOUN
cana-1015	2	84	(	(	PUNCT
cana-1015	2	85	ncut	ncut	ADJ
cana-1015	2	86	)	)	PUNCT
cana-1015	2	87	method	method	NOUN
cana-1015	2	88	emerging	emerge	VERB
cana-1015	2	89	as	as	ADP
cana-1015	2	90	a	a	DET
cana-1015	2	91	powerful	powerful	ADJ
cana-1015	2	92	technique	technique	NOUN
cana-1015	2	93	for	for	ADP
cana-1015	2	94	partitioning	partition	VERB
cana-1015	2	95	images	image	NOUN
cana-1015	2	96	into	into	ADP
cana-1015	2	97	meaningful	meaningful	ADJ
cana-1015	2	98	segments	segment	NOUN
cana-1015	2	99	.	.	PUNCT
cana-1015	3	1	the	the	DET
cana-1015	3	2	efficacy	efficacy	NOUN
cana-1015	3	3	of	of	ADP
cana-1015	3	4	ncut	ncut	NOUN
cana-1015	3	5	largely	largely	ADV
cana-1015	3	6	depends	depend	VERB
cana-1015	3	7	on	on	ADP
cana-1015	3	8	the	the	DET
cana-1015	3	9	choice	choice	NOUN
cana-1015	3	10	of	of	ADP
cana-1015	3	11	the	the	DET
cana-1015	3	12	weight	weight	NOUN
cana-1015	3	13	function	function	NOUN
cana-1015	3	14	,	,	PUNCT
cana-1015	3	15	which	which	PRON
cana-1015	3	16	quantifies	quantify	VERB
cana-1015	3	17	the	the	DET
cana-1015	3	18	similarity	similarity	NOUN
cana-1015	3	19	between	between	ADP
cana-1015	3	20	image	image	NOUN
cana-1015	3	21	elements	element	NOUN
cana-1015	3	22	,	,	PUNCT
cana-1015	3	23	be	be	AUX
cana-1015	3	24	the	the	DET
cana-1015	3	25	pixels	pixel	NOUN
cana-1015	3	26	or	or	CCONJ
cana-1015	3	27	predefined	predefine	VERB
cana-1015	3	28	regions	region	NOUN
cana-1015	3	29	.	.	PUNCT
cana-1015	4	1	this	this	DET
cana-1015	4	2	paper	paper	NOUN
cana-1015	4	3	presents	present	VERB
cana-1015	4	4	a	a	DET
cana-1015	4	5	novel	novel	ADJ
cana-1015	4	6	framework	framework	NOUN
cana-1015	4	7	to	to	PART
cana-1015	4	8	optimize	optimize	VERB
cana-1015	4	9	the	the	DET
cana-1015	4	10	weight	weight	NOUN
cana-1015	4	11	functions	function	NOUN
cana-1015	4	12	for	for	ADP
cana-1015	4	13	ncut	ncut	VERB
cana-1015	4	14	in	in	ADP
cana-1015	4	15	the	the	DET
cana-1015	4	16	context	context	NOUN
cana-1015	4	17	of	of	ADP
cana-1015	4	18	image	image	NOUN
cana-1015	4	19	segmentation	segmentation	NOUN
cana-1015	4	20	,	,	PUNCT
cana-1015	4	21	aiming	aim	VERB
cana-1015	4	22	to	to	PART
cana-1015	4	23	bridge	bridge	VERB
cana-1015	4	24	the	the	DET
cana-1015	4	25	gap	gap	NOUN
cana-1015	4	26	between	between	ADP
cana-1015	4	27	theoretical	theoretical	ADJ
cana-1015	4	28	robustness	robustness	NOUN
cana-1015	4	29	and	and	CCONJ
cana-1015	4	30	practical	practical	ADJ
cana-1015	4	31	applicability	applicability	NOUN
cana-1015	4	32	.	.	PUNCT
cana-1015	5	1	we	we	PRON
cana-1015	5	2	first	first	ADV
cana-1015	5	3	discussed	discuss	VERB
cana-1015	5	4	the	the	DET
cana-1015	5	5	theoretical	theoretical	ADJ
cana-1015	5	6	aspects	aspect	NOUN
cana-1015	5	7	of	of	ADP
cana-1015	5	8	ncut	ncut	NOUN
cana-1015	5	9	,	,	PUNCT
cana-1015	5	10	emphasizing	emphasize	VERB
cana-1015	5	11	the	the	DET
cana-1015	5	12	role	role	NOUN
cana-1015	5	13	of	of	ADP
cana-1015	5	14	weight	weight	NOUN
cana-1015	5	15	functions	function	NOUN
cana-1015	5	16	in	in	ADP
cana-1015	5	17	achieving	achieve	VERB
cana-1015	5	18	segmentation	segmentation	NOUN
cana-1015	5	19	that	that	PRON
cana-1015	5	20	is	be	AUX
cana-1015	5	21	both	both	PRON
cana-1015	5	22	globally	globally	ADV
cana-1015	5	23	and	and	CCONJ
cana-1015	5	24	locally	locally	ADV
cana-1015	5	25	suitable	suitable	ADJ
cana-1015	5	26	.	.	PUNCT
cana-1015	6	1	subsequently	subsequently	ADV
cana-1015	6	2	,	,	PUNCT
cana-1015	6	3	we	we	PRON
cana-1015	6	4	analyze	analyze	VERB
cana-1015	6	5	the	the	DET
cana-1015	6	6	frameworks	framework	NOUN
cana-1015	6	7	for	for	ADP
cana-1015	6	8	the	the	DET
cana-1015	6	9	systematic	systematic	ADJ
cana-1015	6	10	selection	selection	NOUN
cana-1015	6	11	of	of	ADP
cana-1015	6	12	weight	weight	NOUN
cana-1015	6	13	functions	function	NOUN
cana-1015	6	14	,	,	PUNCT
cana-1015	6	15	effective	effective	ADJ
cana-1015	6	16	to	to	ADP
cana-1015	6	17	different	different	ADJ
cana-1015	6	18	image	image	NOUN
cana-1015	6	19	characteristics	characteristic	NOUN
cana-1015	6	20	such	such	ADJ
cana-1015	6	21	as	as	ADP
cana-1015	6	22	texture	texture	NOUN
cana-1015	6	23	,	,	PUNCT
cana-1015	6	24	color	color	NOUN
cana-1015	6	25	,	,	PUNCT
cana-1015	6	26	and	and	CCONJ
cana-1015	6	27	spatial	spatial	ADJ
cana-1015	6	28	relationships	relationship	NOUN
cana-1015	6	29	.	.	PUNCT
cana-1015	7	1	our	our	PRON
cana-1015	7	2	methodology	methodology	NOUN
cana-1015	7	3	combining	combine	VERB
cana-1015	7	4	color	color	NOUN
cana-1015	7	5	spaces	space	NOUN
cana-1015	7	6	analysis	analysis	NOUN
cana-1015	7	7	,	,	PUNCT
cana-1015	7	8	texture	texture	NOUN
cana-1015	7	9	descriptors	descriptor	NOUN
cana-1015	7	10	,	,	PUNCT
cana-1015	7	11	and	and	CCONJ
cana-1015	7	12	edge	edge	NOUN
cana-1015	7	13	information	information	NOUN
cana-1015	7	14	.	.	PUNCT
cana-1015	8	1	through	through	ADP
cana-1015	8	2	several	several	ADJ
cana-1015	8	3	experimentations	experimentation	NOUN
cana-1015	8	4	on	on	ADP
cana-1015	8	5	corel	corel	NOUN
cana-1015	8	6	and	and	CCONJ
cana-1015	8	7	berkley	berkley	NOUN
cana-1015	8	8	image	image	NOUN
cana-1015	8	9	segmentation	segmentation	NOUN
cana-1015	8	10	datasets	dataset	NOUN
cana-1015	8	11	,	,	PUNCT
cana-1015	8	12	including	include	VERB
cana-1015	8	13	natural	natural	ADJ
cana-1015	8	14	scenes	scene	NOUN
cana-1015	8	15	and	and	CCONJ
cana-1015	8	16	images	image	NOUN
cana-1015	8	17	,	,	PUNCT
cana-1015	8	18	we	we	PRON
cana-1015	8	19	demonstrate	demonstrate	VERB
cana-1015	8	20	the	the	DET
cana-1015	8	21	comparisons	comparison	NOUN
cana-1015	8	22	of	of	ADP
cana-1015	8	23	the	the	DET
cana-1015	8	24	weight	weight	NOUN
cana-1015	8	25	functions	function	NOUN
cana-1015	8	26	over	over	ADP
cana-1015	8	27	conventional	conventional	ADJ
cana-1015	8	28	methods	method	NOUN
cana-1015	8	29	in	in	ADP
cana-1015	8	30	terms	term	NOUN
cana-1015	8	31	of	of	ADP
cana-1015	8	32	segmentation	segmentation	NOUN
cana-1015	8	33	quality	quality	NOUN
cana-1015	8	34	and	and	CCONJ
cana-1015	8	35	evaluated	evaluate	VERB
cana-1015	8	36	with	with	ADP
cana-1015	8	37	standard	standard	ADJ
cana-1015	8	38	algorithms	algorithm	NOUN
cana-1015	8	39	like	like	ADP
cana-1015	8	40	otsu	otsu	NOUN
cana-1015	8	41	thresholding	thresholding	NOUN
cana-1015	8	42	and	and	CCONJ
cana-1015	8	43	c	c	NOUN
cana-1015	8	44	-	-	PUNCT
cana-1015	8	45	means	mean	VERB
cana-1015	8	46	clustering	clustering	ADJ
cana-1015	8	47	algorithm	algorithm	NOUN
cana-1015	8	48	.	.	PUNCT
cana-1015	9	1	three	three	NUM
cana-1015	9	2	validity	validity	NOUN
cana-1015	9	3	indices	index	NOUN
cana-1015	9	4	have	have	AUX
cana-1015	9	5	been	be	AUX
cana-1015	9	6	used	use	VERB
cana-1015	9	7	to	to	PART
cana-1015	9	8	quantify	quantify	VERB
cana-1015	9	9	the	the	DET
cana-1015	9	10	results	result	NOUN
cana-1015	9	11	and	and	CCONJ
cana-1015	9	12	observe	observe	VERB
cana-1015	9	13	the	the	DET
cana-1015	9	14	superiority	superiority	NOUN
cana-1015	9	15	of	of	ADP
cana-1015	9	16	the	the	DET
cana-1015	9	17	proposed	propose	VERB
cana-1015	9	18	model	model	NOUN
cana-1015	9	19	.	.	PUNCT
cana-1015	10	1	this	this	DET
cana-1015	10	2	work	work	NOUN
cana-1015	10	3	not	not	PART
cana-1015	10	4	only	only	ADV
cana-1015	10	5	advances	advance	VERB
cana-1015	10	6	the	the	DET
cana-1015	10	7	understanding	understanding	NOUN
cana-1015	10	8	of	of	ADP
cana-1015	10	9	weight	weight	NOUN
cana-1015	10	10	function	function	NOUN
cana-1015	10	11	optimization	optimization	NOUN
cana-1015	10	12	in	in	ADP
cana-1015	10	13	ncut	ncut	VERB
cana-1015	10	14	-	-	PUNCT
cana-1015	10	15	based	base	VERB
cana-1015	10	16	image	image	NOUN
cana-1015	10	17	segmentation	segmentation	NOUN
cana-1015	10	18	but	but	CCONJ
cana-1015	10	19	also	also	ADV
cana-1015	10	20	offers	offer	VERB
cana-1015	10	21	a	a	DET
cana-1015	10	22	practical	practical	ADJ
cana-1015	10	23	guide	guide	NOUN
cana-1015	10	24	for	for	ADP
cana-1015	10	25	researchers	researcher	NOUN
cana-1015	10	26	and	and	CCONJ
cana-1015	10	27	practitioners	practitioner	NOUN
cana-1015	10	28	in	in	ADP
cana-1015	10	29	computer	computer	NOUN
cana-1015	10	30	vision	vision	NOUN
cana-1015	10	31	.	.	PUNCT
cana-1015	11	1	keywords	keyword	NOUN
cana-1015	11	2	:	:	PUNCT
cana-1015	11	3	image	image	NOUN
cana-1015	11	4	segmentation	segmentation	NOUN
cana-1015	11	5	,	,	PUNCT
cana-1015	11	6	normalized	normalize	VERB
cana-1015	11	7	cut	cut	NOUN
cana-1015	11	8	,	,	PUNCT
cana-1015	11	9	weight	weight	NOUN
cana-1015	11	10	function	function	NOUN
cana-1015	11	11	,	,	PUNCT
cana-1015	11	12	computer	computer	NOUN
cana-1015	11	13	vision	vision	NOUN
cana-1015	11	14	,	,	PUNCT
cana-1015	11	15	texture	texture	ADJ
cana-1015	11	16	analysis	analysis	NOUN
cana-1015	11	17	,	,	PUNCT
cana-1015	11	18	color	color	NOUN
cana-1015	11	19	space	space	NOUN
cana-1015	11	20	,	,	PUNCT
cana-1015	11	21	edge	edge	NOUN
cana-1015	11	22	information	information	NOUN
cana-1015	11	23	.	.	PUNCT
cana-1015	12	1	1	1	X
cana-1015	12	2	.	.	X
cana-1015	12	3	introduction	introduction	NOUN
cana-1015	12	4	the	the	DET
cana-1015	12	5	normalized	normalized	ADJ
cana-1015	12	6	cut	cut	NOUN
cana-1015	12	7	(	(	PUNCT
cana-1015	12	8	ncut	ncut	ADJ
cana-1015	12	9	)	)	PUNCT
cana-1015	12	10	algorithm	algorithm	NOUN
cana-1015	12	11	has	have	AUX
cana-1015	12	12	been	be	AUX
cana-1015	12	13	widely	widely	ADV
cana-1015	12	14	recognized	recognize	VERB
cana-1015	12	15	for	for	ADP
cana-1015	12	16	its	its	PRON
cana-1015	12	17	effectiveness	effectiveness	NOUN
cana-1015	12	18	in	in	ADP
cana-1015	12	19	image	image	NOUN
cana-1015	12	20	segmentation	segmentation	NOUN
cana-1015	12	21	,	,	PUNCT
cana-1015	12	22	leveraging	leverage	VERB
cana-1015	12	23	graph	graph	NOUN
cana-1015	12	24	theory	theory	NOUN
cana-1015	12	25	to	to	AUX
cana-1015	12	26	partition	partition	VERB
cana-1015	12	27	images	image	NOUN
cana-1015	12	28	into	into	ADP
cana-1015	12	29	meaningful	meaningful	ADJ
cana-1015	12	30	segments	segment	NOUN
cana-1015	12	31	based	base	VERB
cana-1015	12	32	on	on	ADP
cana-1015	12	33	global	global	ADJ
cana-1015	12	34	image	image	NOUN
cana-1015	12	35	features	feature	NOUN
cana-1015	12	36	.	.	PUNCT
cana-1015	13	1	the	the	DET
cana-1015	13	2	algorithm	algorithm	NOUN
cana-1015	13	3	's	's	PART
cana-1015	13	4	success	success	NOUN
cana-1015	13	5	in	in	ADP
cana-1015	13	6	various	various	ADJ
cana-1015	13	7	applications	application	NOUN
cana-1015	13	8	underscores	underscore	VERB
cana-1015	13	9	its	its	PRON
cana-1015	13	10	versatility	versatility	NOUN
cana-1015	13	11	and	and	CCONJ
cana-1015	13	12	efficiency	efficiency	NOUN
cana-1015	13	13	in	in	ADP
cana-1015	13	14	handling	handle	VERB
cana-1015	13	15	complex	complex	ADJ
cana-1015	13	16	segmentation	segmentation	NOUN
cana-1015	13	17	tasks	task	NOUN
cana-1015	13	18	[	[	X
cana-1015	13	19	5	5	NUM
cana-1015	13	20	]	]	PUNCT
cana-1015	13	21	.	.	PUNCT
cana-1015	14	1	however	however	ADV
cana-1015	14	2	,	,	PUNCT
cana-1015	14	3	the	the	DET
cana-1015	14	4	choice	choice	NOUN
cana-1015	14	5	of	of	ADP
cana-1015	14	6	weight	weight	NOUN
cana-1015	14	7	functions	function	NOUN
cana-1015	14	8	within	within	ADP
cana-1015	14	9	the	the	DET
cana-1015	14	10	ncut	ncut	ADJ
cana-1015	14	11	framework	framework	NOUN
cana-1015	14	12	significantly	significantly	ADV
cana-1015	14	13	impacts	impact	VERB
cana-1015	14	14	its	its	PRON
cana-1015	14	15	performance	performance	NOUN
cana-1015	14	16	,	,	PUNCT
cana-1015	14	17	necessitating	necessitate	VERB
cana-1015	14	18	a	a	DET
cana-1015	14	19	deeper	deep	ADJ
cana-1015	14	20	exploration	exploration	NOUN
cana-1015	14	21	of	of	ADP
cana-1015	14	22	optimization	optimization	NOUN
cana-1015	14	23	strategies	strategy	NOUN
cana-1015	14	24	to	to	PART
cana-1015	14	25	enhance	enhance	VERB
cana-1015	14	26	segmentation	segmentation	NOUN
cana-1015	14	27	outcomes	outcome	NOUN
cana-1015	14	28	.	.	PUNCT
cana-1015	15	1	recent	recent	ADJ
cana-1015	15	2	advancements	advancement	NOUN
cana-1015	15	3	in	in	ADP
cana-1015	15	4	weight	weight	NOUN
cana-1015	15	5	function	function	NOUN
cana-1015	15	6	design	design	NOUN
cana-1015	15	7	have	have	AUX
cana-1015	15	8	focused	focus	VERB
cana-1015	15	9	on	on	ADP
cana-1015	15	10	incorporating	incorporate	VERB
cana-1015	15	11	multi	multi	ADJ
cana-1015	15	12	-	-	ADJ
cana-1015	15	13	dimensional	dimensional	ADJ
cana-1015	15	14	features	feature	NOUN
cana-1015	15	15	such	such	ADJ
cana-1015	15	16	as	as	ADP
cana-1015	15	17	color	color	NOUN
cana-1015	15	18	,	,	PUNCT
cana-1015	15	19	texture	texture	NOUN
cana-1015	15	20	,	,	PUNCT
cana-1015	15	21	and	and	CCONJ
cana-1015	15	22	spatial	spatial	ADJ
cana-1015	15	23	information	information	NOUN
cana-1015	15	24	to	to	PART
cana-1015	15	25	improve	improve	VERB
cana-1015	15	26	segmentation	segmentation	NOUN
cana-1015	15	27	accuracy	accuracy	NOUN
cana-1015	15	28	.	.	PUNCT
cana-1015	16	1	these	these	DET
cana-1015	16	2	efforts	effort	NOUN
cana-1015	16	3	underscore	underscore	VERB
cana-1015	16	4	the	the	DET
cana-1015	16	5	importance	importance	NOUN
cana-1015	16	6	of	of	ADP
cana-1015	16	7	a	a	DET
cana-1015	16	8	comprehensive	comprehensive	ADJ
cana-1015	16	9	approach	approach	NOUN
cana-1015	16	10	that	that	PRON
cana-1015	16	11	considers	consider	VERB
cana-1015	16	12	the	the	DET
cana-1015	16	13	diverse	diverse	ADJ
cana-1015	16	14	characteristics	characteristic	NOUN
cana-1015	16	15	of	of	ADP
cana-1015	16	16	image	image	NOUN
cana-1015	16	17	data	datum	NOUN
cana-1015	16	18	[	[	X
cana-1015	16	19	6	6	NUM
cana-1015	16	20	]	]	PUNCT
cana-1015	16	21	.	.	PUNCT
cana-1015	17	1	moreover	moreover	ADV
cana-1015	17	2	,	,	PUNCT
cana-1015	17	3	the	the	DET
cana-1015	17	4	communications	communication	NOUN
cana-1015	17	5	on	on	ADP
cana-1015	17	6	applied	apply	VERB
cana-1015	17	7	nonlinear	nonlinear	ADJ
cana-1015	17	8	analysis	analysis	NOUN
cana-1015	17	9	issn	issn	NOUN
cana-1015	17	10	:	:	PUNCT
cana-1015	17	11	1074	1074	NUM
cana-1015	17	12	-	-	PUNCT
cana-1015	17	13	133x	133x	NUM
cana-1015	17	14	vol	vol	NOUN
cana-1015	17	15	31	31	NUM
cana-1015	17	16	no	no	NOUN
cana-1015	17	17	.	.	PUNCT
cana-1015	18	1	5s	5s	NUM
cana-1015	18	2	(	(	PUNCT
cana-1015	18	3	2024	2024	NUM
cana-1015	18	4	)	)	PUNCT
cana-1015	18	5	205	205	NUM
cana-1015	18	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1015	18	7	application	application	NOUN
cana-1015	18	8	of	of	ADP
cana-1015	18	9	machine	machine	NOUN
cana-1015	18	10	learning	learn	VERB
cana-1015	18	11	techniques	technique	NOUN
cana-1015	18	12	for	for	ADP
cana-1015	18	13	the	the	DET
cana-1015	18	14	automatic	automatic	ADJ
cana-1015	18	15	tuning	tuning	NOUN
cana-1015	18	16	of	of	ADP
cana-1015	18	17	weight	weight	NOUN
cana-1015	18	18	function	function	NOUN
cana-1015	18	19	parameters	parameter	NOUN
cana-1015	18	20	has	have	AUX
cana-1015	18	21	shown	show	VERB
cana-1015	18	22	promising	promising	ADJ
cana-1015	18	23	results	result	NOUN
cana-1015	18	24	,	,	PUNCT
cana-1015	18	25	offering	offer	VERB
cana-1015	18	26	a	a	DET
cana-1015	18	27	pathway	pathway	NOUN
cana-1015	18	28	to	to	ADP
cana-1015	18	29	more	more	ADV
cana-1015	18	30	adaptive	adaptive	ADJ
cana-1015	18	31	and	and	CCONJ
cana-1015	18	32	robust	robust	ADJ
cana-1015	18	33	segmentation	segmentation	NOUN
cana-1015	18	34	solutions	solution	NOUN
cana-1015	18	35	[	[	X
cana-1015	18	36	3	3	NUM
cana-1015	18	37	]	]	PUNCT
cana-1015	18	38	.	.	PUNCT
cana-1015	19	1	in	in	ADP
cana-1015	19	2	the	the	DET
cana-1015	19	3	domain	domain	NOUN
cana-1015	19	4	of	of	ADP
cana-1015	19	5	texture	texture	NOUN
cana-1015	19	6	-	-	PUNCT
cana-1015	19	7	based	base	VERB
cana-1015	19	8	segmentation	segmentation	NOUN
cana-1015	19	9	,	,	PUNCT
cana-1015	19	10	the	the	DET
cana-1015	19	11	utilization	utilization	NOUN
cana-1015	19	12	of	of	ADP
cana-1015	19	13	texture	texture	ADJ
cana-1015	19	14	descriptors	descriptor	NOUN
cana-1015	19	15	within	within	ADP
cana-1015	19	16	weight	weight	NOUN
cana-1015	19	17	functions	function	NOUN
cana-1015	19	18	has	have	AUX
cana-1015	19	19	been	be	AUX
cana-1015	19	20	particularly	particularly	ADV
cana-1015	19	21	effective	effective	ADJ
cana-1015	19	22	for	for	ADP
cana-1015	19	23	distinguishing	distinguish	VERB
cana-1015	19	24	between	between	ADP
cana-1015	19	25	complex	complex	ADJ
cana-1015	19	26	patterns	pattern	NOUN
cana-1015	19	27	and	and	CCONJ
cana-1015	19	28	surfaces	surface	NOUN
cana-1015	19	29	[	[	X
cana-1015	19	30	2,4	2,4	NUM
cana-1015	19	31	]	]	PUNCT
cana-1015	19	32	.	.	PUNCT
cana-1015	20	1	this	this	DET
cana-1015	20	2	approach	approach	NOUN
cana-1015	20	3	has	have	AUX
cana-1015	20	4	enabled	enable	VERB
cana-1015	20	5	more	more	ADV
cana-1015	20	6	nuanced	nuanced	ADJ
cana-1015	20	7	differentiation	differentiation	NOUN
cana-1015	20	8	between	between	ADP
cana-1015	20	9	image	image	NOUN
cana-1015	20	10	regions	region	NOUN
cana-1015	20	11	,	,	PUNCT
cana-1015	20	12	highlighting	highlight	VERB
cana-1015	20	13	the	the	DET
cana-1015	20	14	critical	critical	ADJ
cana-1015	20	15	role	role	NOUN
cana-1015	20	16	of	of	ADP
cana-1015	20	17	texture	texture	ADJ
cana-1015	20	18	analysis	analysis	NOUN
cana-1015	20	19	in	in	ADP
cana-1015	20	20	segmentation	segmentation	NOUN
cana-1015	20	21	tasks	task	NOUN
cana-1015	20	22	[	[	X
cana-1015	20	23	4,16	4,16	NUM
cana-1015	20	24	-	-	SYM
cana-1015	20	25	17	17	NUM
cana-1015	20	26	]	]	PUNCT
cana-1015	20	27	.	.	PUNCT
cana-1015	21	1	furthermore	furthermore	ADV
cana-1015	21	2	,	,	PUNCT
cana-1015	21	3	the	the	DET
cana-1015	21	4	integration	integration	NOUN
cana-1015	21	5	of	of	ADP
cana-1015	21	6	spatial	spatial	ADJ
cana-1015	21	7	proximity	proximity	NOUN
cana-1015	21	8	measures	measure	NOUN
cana-1015	21	9	into	into	ADP
cana-1015	21	10	weight	weight	NOUN
cana-1015	21	11	functions	function	NOUN
cana-1015	21	12	has	have	AUX
cana-1015	21	13	been	be	AUX
cana-1015	21	14	shown	show	VERB
cana-1015	21	15	to	to	PART
cana-1015	21	16	enhance	enhance	VERB
cana-1015	21	17	the	the	DET
cana-1015	21	18	coherence	coherence	NOUN
cana-1015	21	19	of	of	ADP
cana-1015	21	20	segmented	segment	VERB
cana-1015	21	21	regions	region	NOUN
cana-1015	21	22	,	,	PUNCT
cana-1015	21	23	ensuring	ensure	VERB
cana-1015	21	24	that	that	SCONJ
cana-1015	21	25	segments	segment	NOUN
cana-1015	21	26	are	be	AUX
cana-1015	21	27	not	not	PART
cana-1015	21	28	only	only	ADV
cana-1015	21	29	homogeneous	homogeneous	ADJ
cana-1015	21	30	in	in	ADP
cana-1015	21	31	feature	feature	NOUN
cana-1015	21	32	space	space	NOUN
cana-1015	21	33	but	but	CCONJ
cana-1015	21	34	also	also	ADV
cana-1015	21	35	contiguous	contiguous	ADJ
cana-1015	21	36	in	in	ADP
cana-1015	21	37	the	the	DET
cana-1015	21	38	spatial	spatial	ADJ
cana-1015	21	39	domain	domain	NOUN
cana-1015	21	40	.	.	PUNCT
cana-1015	22	1	this	this	DET
cana-1015	22	2	spatial	spatial	ADJ
cana-1015	22	3	consideration	consideration	NOUN
cana-1015	22	4	is	be	AUX
cana-1015	22	5	vital	vital	ADJ
cana-1015	22	6	for	for	ADP
cana-1015	22	7	maintaining	maintain	VERB
cana-1015	22	8	the	the	DET
cana-1015	22	9	integrity	integrity	NOUN
cana-1015	22	10	of	of	ADP
cana-1015	22	11	object	object	NOUN
cana-1015	22	12	boundaries	boundary	NOUN
cana-1015	22	13	and	and	CCONJ
cana-1015	22	14	facilitating	facilitate	VERB
cana-1015	22	15	the	the	DET
cana-1015	22	16	segmentation	segmentation	NOUN
cana-1015	22	17	of	of	ADP
cana-1015	22	18	closely	closely	ADV
cana-1015	22	19	situated	situated	ADJ
cana-1015	22	20	but	but	CCONJ
cana-1015	22	21	distinct	distinct	ADJ
cana-1015	22	22	entities	entity	NOUN
cana-1015	22	23	[	[	X
cana-1015	22	24	1,3,15	1,3,15	NUM
cana-1015	22	25	]	]	PUNCT
cana-1015	22	26	.	.	PUNCT
cana-1015	23	1	the	the	DET
cana-1015	23	2	exploration	exploration	NOUN
cana-1015	23	3	of	of	ADP
cana-1015	23	4	hybrid	hybrid	ADJ
cana-1015	23	5	weight	weight	NOUN
cana-1015	23	6	functions	function	NOUN
cana-1015	23	7	that	that	PRON
cana-1015	23	8	combine	combine	VERB
cana-1015	23	9	multiple	multiple	ADJ
cana-1015	23	10	features	feature	NOUN
cana-1015	23	11	and	and	CCONJ
cana-1015	23	12	adapt	adapt	VERB
cana-1015	23	13	to	to	ADP
cana-1015	23	14	specific	specific	ADJ
cana-1015	23	15	segmentation	segmentation	NOUN
cana-1015	23	16	goals	goal	NOUN
cana-1015	23	17	represents	represent	VERB
cana-1015	23	18	a	a	DET
cana-1015	23	19	significant	significant	ADJ
cana-1015	23	20	area	area	NOUN
cana-1015	23	21	of	of	ADP
cana-1015	23	22	ongoing	ongoing	ADJ
cana-1015	23	23	research	research	NOUN
cana-1015	23	24	.	.	PUNCT
cana-1015	24	1	these	these	DET
cana-1015	24	2	hybrid	hybrid	ADJ
cana-1015	24	3	approaches	approach	NOUN
cana-1015	24	4	aim	aim	VERB
cana-1015	24	5	to	to	PART
cana-1015	24	6	leverage	leverage	VERB
cana-1015	24	7	the	the	DET
cana-1015	24	8	strengths	strength	NOUN
cana-1015	24	9	of	of	ADP
cana-1015	24	10	various	various	ADJ
cana-1015	24	11	descriptors	descriptor	NOUN
cana-1015	24	12	and	and	CCONJ
cana-1015	24	13	similarity	similarity	NOUN
cana-1015	24	14	measures	measure	NOUN
cana-1015	24	15	,	,	PUNCT
cana-1015	24	16	offering	offer	VERB
cana-1015	24	17	a	a	DET
cana-1015	24	18	more	more	ADV
cana-1015	24	19	flexible	flexible	ADJ
cana-1015	24	20	and	and	CCONJ
cana-1015	24	21	effective	effective	ADJ
cana-1015	24	22	framework	framework	NOUN
cana-1015	24	23	for	for	ADP
cana-1015	24	24	addressing	address	VERB
cana-1015	24	25	the	the	DET
cana-1015	24	26	challenges	challenge	NOUN
cana-1015	24	27	of	of	ADP
cana-1015	24	28	image	image	NOUN
cana-1015	24	29	segmentation	segmentation	NOUN
cana-1015	24	30	[	[	X
cana-1015	24	31	8,12,18	8,12,18	NUM
cana-1015	24	32	]	]	PUNCT
cana-1015	24	33	.	.	PUNCT
cana-1015	25	1	in	in	ADP
cana-1015	25	2	conclusion	conclusion	NOUN
cana-1015	25	3	,	,	PUNCT
cana-1015	25	4	the	the	DET
cana-1015	25	5	literature	literature	NOUN
cana-1015	25	6	underscores	underscore	VERB
cana-1015	25	7	the	the	DET
cana-1015	25	8	critical	critical	ADJ
cana-1015	25	9	importance	importance	NOUN
cana-1015	25	10	of	of	ADP
cana-1015	25	11	optimizing	optimize	VERB
cana-1015	25	12	weight	weight	NOUN
cana-1015	25	13	functions	function	NOUN
cana-1015	25	14	within	within	ADP
cana-1015	25	15	the	the	DET
cana-1015	25	16	ncut	ncut	ADJ
cana-1015	25	17	algorithm	algorithm	NOUN
cana-1015	25	18	to	to	PART
cana-1015	25	19	achieve	achieve	VERB
cana-1015	25	20	enhanced	enhanced	ADJ
cana-1015	25	21	image	image	NOUN
cana-1015	25	22	segmentation	segmentation	NOUN
cana-1015	25	23	.	.	PUNCT
cana-1015	26	1	future	future	ADJ
cana-1015	26	2	research	research	NOUN
cana-1015	26	3	directions	direction	NOUN
cana-1015	26	4	include	include	VERB
cana-1015	26	5	the	the	DET
cana-1015	26	6	further	further	ADJ
cana-1015	26	7	development	development	NOUN
cana-1015	26	8	of	of	ADP
cana-1015	26	9	adaptive	adaptive	ADJ
cana-1015	26	10	weight	weight	NOUN
cana-1015	26	11	functions	function	NOUN
cana-1015	26	12	,	,	PUNCT
cana-1015	26	13	the	the	DET
cana-1015	26	14	exploration	exploration	NOUN
cana-1015	26	15	of	of	ADP
cana-1015	26	16	new	new	ADJ
cana-1015	26	17	feature	feature	NOUN
cana-1015	26	18	descriptors	descriptor	NOUN
cana-1015	26	19	,	,	PUNCT
cana-1015	26	20	and	and	CCONJ
cana-1015	26	21	the	the	DET
cana-1015	26	22	application	application	NOUN
cana-1015	26	23	of	of	ADP
cana-1015	26	24	advanced	advanced	ADJ
cana-1015	26	25	machine	machine	NOUN
cana-1015	26	26	learning	learn	VERB
cana-1015	26	27	techniques	technique	NOUN
cana-1015	26	28	for	for	ADP
cana-1015	26	29	parameter	parameter	NOUN
cana-1015	26	30	optimization	optimization	NOUN
cana-1015	26	31	.	.	PUNCT
cana-1015	27	1	the	the	DET
cana-1015	27	2	article	article	NOUN
cana-1015	27	3	is	be	AUX
cana-1015	27	4	further	far	ADV
cana-1015	27	5	divided	divide	VERB
cana-1015	27	6	into	into	ADP
cana-1015	27	7	4	4	NUM
cana-1015	27	8	sections	section	NOUN
cana-1015	27	9	,	,	PUNCT
cana-1015	27	10	where	where	SCONJ
cana-1015	27	11	the	the	DET
cana-1015	27	12	section	section	NOUN
cana-1015	27	13	2	2	NUM
cana-1015	27	14	explains	explain	VERB
cana-1015	27	15	the	the	DET
cana-1015	27	16	basic	basic	ADJ
cana-1015	27	17	principle	principle	NOUN
cana-1015	27	18	behind	behind	ADP
cana-1015	27	19	graph	graph	NOUN
cana-1015	27	20	cut	cut	VERB
cana-1015	27	21	.	.	PUNCT
cana-1015	28	1	section	section	NOUN
cana-1015	28	2	3	3	NUM
cana-1015	28	3	explains	explain	VERB
cana-1015	28	4	different	different	ADJ
cana-1015	28	5	existing	exist	VERB
cana-1015	28	6	weight	weight	NOUN
cana-1015	28	7	functions	function	NOUN
cana-1015	28	8	and	and	CCONJ
cana-1015	28	9	selection	selection	NOUN
cana-1015	28	10	of	of	ADP
cana-1015	28	11	the	the	DET
cana-1015	28	12	optimal	optimal	ADJ
cana-1015	28	13	weight	weight	NOUN
cana-1015	28	14	for	for	ADP
cana-1015	28	15	optimum	optimum	ADJ
cana-1015	28	16	result	result	NOUN
cana-1015	28	17	.	.	PUNCT
cana-1015	29	1	section	section	NOUN
cana-1015	29	2	4	4	NUM
cana-1015	29	3	explains	explain	VERB
cana-1015	29	4	the	the	DET
cana-1015	29	5	results	result	NOUN
cana-1015	29	6	and	and	CCONJ
cana-1015	29	7	discussions	discussion	NOUN
cana-1015	29	8	followed	follow	VERB
cana-1015	29	9	by	by	ADP
cana-1015	29	10	conclusion	conclusion	NOUN
cana-1015	29	11	in	in	ADP
cana-1015	29	12	section	section	NOUN
cana-1015	29	13	5	5	NUM
cana-1015	29	14	.	.	NOUN
cana-1015	29	15	2	2	NUM
cana-1015	29	16	.	.	X
cana-1015	30	1	graph	graph	NOUN
cana-1015	30	2	cut	cut	NOUN
cana-1015	30	3	normalized	normalize	VERB
cana-1015	30	4	cut	cut	NOUN
cana-1015	30	5	is	be	AUX
cana-1015	30	6	an	an	DET
cana-1015	30	7	image	image	NOUN
cana-1015	30	8	partitioning	partition	VERB
cana-1015	30	9	approach	approach	NOUN
cana-1015	30	10	proposed	propose	VERB
cana-1015	30	11	by	by	ADP
cana-1015	30	12	shi	shi	PROPN
cana-1015	30	13	and	and	CCONJ
cana-1015	30	14	malik	malik	PROPN
cana-1015	31	1	[	[	X
cana-1015	31	2	5	5	NUM
cana-1015	31	3	]	]	PUNCT
cana-1015	31	4	.	.	PUNCT
cana-1015	32	1	it	it	PRON
cana-1015	32	2	is	be	AUX
cana-1015	32	3	based	base	VERB
cana-1015	32	4	on	on	ADP
cana-1015	32	5	graph	graph	NOUN
cana-1015	32	6	cut	cut	VERB
cana-1015	32	7	.	.	PUNCT
cana-1015	33	1	this	this	DET
cana-1015	33	2	approach	approach	NOUN
cana-1015	33	3	partitions	partition	VERB
cana-1015	33	4	a	a	DET
cana-1015	33	5	collection	collection	NOUN
cana-1015	33	6	of	of	ADP
cana-1015	33	7	pixels	pixel	NOUN
cana-1015	33	8	by	by	ADP
cana-1015	33	9	representing	represent	VERB
cana-1015	33	10	them	they	PRON
cana-1015	33	11	as	as	ADP
cana-1015	33	12	nodes	node	NOUN
cana-1015	33	13	in	in	ADP
cana-1015	33	14	a	a	DET
cana-1015	33	15	graph	graph	NOUN
cana-1015	33	16	that	that	PRON
cana-1015	33	17	is	be	AUX
cana-1015	33	18	both	both	CCONJ
cana-1015	33	19	undirected	undirected	ADJ
cana-1015	33	20	and	and	CCONJ
cana-1015	33	21	weighted	weight	VERB
cana-1015	33	22	.	.	PUNCT
cana-1015	34	1	in	in	ADP
cana-1015	34	2	this	this	DET
cana-1015	34	3	context	context	NOUN
cana-1015	34	4	,	,	PUNCT
cana-1015	34	5	the	the	DET
cana-1015	34	6	symbol	symbol	NOUN
cana-1015	34	7	'	'	PUNCT
cana-1015	34	8	v	v	NOUN
cana-1015	34	9	'	'	PUNCT
cana-1015	34	10	represents	represent	VERB
cana-1015	34	11	a	a	DET
cana-1015	34	12	pixel	pixel	NOUN
cana-1015	34	13	or	or	CCONJ
cana-1015	34	14	node	node	NOUN
cana-1015	34	15	,	,	PUNCT
cana-1015	34	16	whereas	whereas	SCONJ
cana-1015	34	17	'	'	PUNCT
cana-1015	34	18	e	e	X
cana-1015	34	19	'	'	PUNCT
cana-1015	34	20	represents	represent	VERB
cana-1015	34	21	the	the	DET
cana-1015	34	22	edge	edge	NOUN
cana-1015	34	23	or	or	CCONJ
cana-1015	34	24	the	the	DET
cana-1015	34	25	distance	distance	NOUN
cana-1015	34	26	between	between	ADP
cana-1015	34	27	two	two	NUM
cana-1015	34	28	pixels	pixel	NOUN
cana-1015	34	29	.	.	PUNCT
cana-1015	35	1	next	next	ADJ
cana-1015	35	2	g=(v	g=(v	NOUN
cana-1015	35	3	,	,	PUNCT
cana-1015	35	4	e	e	PROPN
cana-1015	35	5	)	)	PUNCT
cana-1015	35	6	,	,	PUNCT
cana-1015	35	7	an	an	DET
cana-1015	35	8	undirected	undirected	ADJ
cana-1015	35	9	weighted	weight	VERB
cana-1015	35	10	graph	graph	NOUN
cana-1015	35	11	,	,	PUNCT
cana-1015	35	12	is	be	AUX
cana-1015	35	13	constructed	construct	VERB
cana-1015	35	14	,	,	PUNCT
cana-1015	35	15	where	where	SCONJ
cana-1015	35	16	a	a	DET
cana-1015	35	17	non	non	ADJ
cana-1015	35	18	-	-	ADJ
cana-1015	35	19	negative	negative	ADJ
cana-1015	35	20	weight	weight	NOUN
cana-1015	35	21	w	w	NOUN
cana-1015	35	22	is	be	AUX
cana-1015	35	23	assigned	assign	VERB
cana-1015	35	24	to	to	ADP
cana-1015	35	25	each	each	DET
cana-1015	35	26	edge	edge	NOUN
cana-1015	35	27	.	.	PUNCT
cana-1015	36	1	the	the	DET
cana-1015	36	2	non	non	ADJ
cana-1015	36	3	-	-	ADJ
cana-1015	36	4	negative	negative	ADJ
cana-1015	36	5	weight	weight	NOUN
cana-1015	36	6	mentioned	mention	VERB
cana-1015	36	7	above	above	ADV
cana-1015	36	8	is	be	AUX
cana-1015	36	9	defined	define	VERB
cana-1015	36	10	as	as	ADP
cana-1015	36	11	[	[	X
cana-1015	36	12	12	12	NUM
cana-1015	36	13	]	]	X
cana-1015	36	14	:	:	PUNCT
cana-1015	36	15	𝑊(𝑖	𝑊(𝑖	ADJ
cana-1015	36	16	,	,	PUNCT
cana-1015	36	17	𝑗	𝑗	NOUN
cana-1015	36	18	)	)	PUNCT
cana-1015	36	19	=	=	PUNCT
cana-1015	36	20	𝑒	𝑒	ADP
cana-1015	36	21	−‖𝐹(𝑖)−𝐹(𝑗)‖2	−‖𝐹(𝑖)−𝐹(𝑗)‖2	ADJ
cana-1015	36	22	𝜎𝐼	𝜎𝐼	ADJ
cana-1015	36	23	×	×	NOUN
cana-1015	36	24	{	{	PUNCT
cana-1015	36	25	0	0	NUM
cana-1015	36	26	𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒	𝑜𝑡ℎ𝑒𝑟𝑤𝑖𝑠𝑒	PROPN
cana-1015	36	27	𝑒	𝑒	PROPN
cana-1015	36	28	−‖𝑋(𝑖)−𝑋(𝑗)‖2	−‖𝑋(𝑖)−𝑋(𝑗)‖2	PROPN
cana-1015	36	29	𝜎𝑋	𝜎𝑋	PROPN
cana-1015	37	1	𝑖𝑓	𝑖𝑓	PROPN
cana-1015	37	2	‖𝑋(𝑖)−𝑋(𝑗)‖<𝑟	‖𝑋(𝑖)−𝑋(𝑗)‖<𝑟	NOUN
cana-1015	37	3	.	.	PUNCT
cana-1015	38	1	(	(	PUNCT
cana-1015	38	2	1	1	X
cana-1015	38	3	)	)	PUNCT
cana-1015	38	4	in	in	ADP
cana-1015	38	5	(	(	PUNCT
cana-1015	38	6	1	1	NUM
cana-1015	38	7	)	)	PUNCT
cana-1015	38	8	scenario	scenario	NOUN
cana-1015	38	9	,	,	PUNCT
cana-1015	38	10	f(i	f(i	PROPN
cana-1015	38	11	)	)	PUNCT
cana-1015	38	12	represents	represent	VERB
cana-1015	38	13	the	the	DET
cana-1015	38	14	feature	feature	NOUN
cana-1015	38	15	derived	derive	VERB
cana-1015	38	16	from	from	ADP
cana-1015	38	17	the	the	DET
cana-1015	38	18	intensity	intensity	NOUN
cana-1015	38	19	,	,	PUNCT
cana-1015	38	20	while	while	SCONJ
cana-1015	38	21	x(i	x(i	PROPN
cana-1015	38	22	)	)	PUNCT
cana-1015	38	23	represents	represent	VERB
cana-1015	38	24	the	the	DET
cana-1015	38	25	spatial	spatial	ADJ
cana-1015	38	26	location	location	NOUN
cana-1015	38	27	of	of	ADP
cana-1015	38	28	the	the	DET
cana-1015	38	29	ith	ith	PROPN
cana-1015	38	30	node	node	NOUN
cana-1015	38	31	.	.	PUNCT
cana-1015	39	1	the	the	DET
cana-1015	39	2	circle	circle	NOUN
cana-1015	39	3	's	's	PART
cana-1015	39	4	radius	radius	NOUN
cana-1015	39	5	is	be	AUX
cana-1015	39	6	represented	represent	VERB
cana-1015	39	7	by	by	ADP
cana-1015	39	8	the	the	DET
cana-1015	39	9	variable	variable	ADJ
cana-1015	39	10	r	r	NOUN
cana-1015	39	11	,	,	PUNCT
cana-1015	39	12	and	and	CCONJ
cana-1015	39	13	the	the	DET
cana-1015	39	14	pixels	pixel	NOUN
cana-1015	39	15	are	be	AUX
cana-1015	39	16	positioned	position	VERB
cana-1015	39	17	inside	inside	ADP
cana-1015	39	18	this	this	DET
cana-1015	39	19	circle	circle	NOUN
cana-1015	39	20	.	.	PUNCT
cana-1015	40	1	if	if	SCONJ
cana-1015	40	2	s1	s1	PROPN
cana-1015	40	3	and	and	CCONJ
cana-1015	40	4	s2	s2	PROPN
cana-1015	40	5	are	be	AUX
cana-1015	40	6	two	two	NUM
cana-1015	40	7	sets	set	NOUN
cana-1015	40	8	of	of	ADP
cana-1015	40	9	picture	picture	NOUN
cana-1015	40	10	pixels	pixel	NOUN
cana-1015	40	11	that	that	PRON
cana-1015	40	12	have	have	VERB
cana-1015	40	13	no	no	DET
cana-1015	40	14	elements	element	NOUN
cana-1015	40	15	in	in	ADP
cana-1015	40	16	common	common	ADJ
cana-1015	40	17	,	,	PUNCT
cana-1015	40	18	then	then	ADV
cana-1015	40	19	=	=	PUNCT
cana-1015	41	1	=	=	SYM
cana-1015	41	2			NOUN
cana-1015	41	3	21	21	NUM
cana-1015	41	4	21	21	NUM
cana-1015	41	5	ss	ss	NOUN
cana-1015	41	6	vss	vss	NOUN
cana-1015	41	7	the	the	DET
cana-1015	41	8	step	step	NOUN
cana-1015	41	9	-	-	PUNCT
cana-1015	41	10	by	by	ADP
cana-1015	41	11	-	-	PUNCT
cana-1015	41	12	step	step	NOUN
cana-1015	41	13	procedure	procedure	NOUN
cana-1015	41	14	to	to	PART
cana-1015	41	15	cut	cut	VERB
cana-1015	41	16	the	the	DET
cana-1015	41	17	graph	graph	NOUN
cana-1015	41	18	in	in	ADP
cana-1015	41	19	graph	graph	NOUN
cana-1015	41	20	cut	cut	NOUN
cana-1015	41	21	is	be	AUX
cana-1015	41	22	explained	explain	VERB
cana-1015	41	23	in	in	ADP
cana-1015	41	24	figure	figure	NOUN
cana-1015	41	25	1	1	NUM
cana-1015	41	26	,	,	PUNCT
cana-1015	41	27	communications	communication	NOUN
cana-1015	41	28	on	on	ADP
cana-1015	41	29	applied	apply	VERB
cana-1015	41	30	nonlinear	nonlinear	ADJ
cana-1015	41	31	analysis	analysis	NOUN
cana-1015	41	32	issn	issn	NOUN
cana-1015	41	33	:	:	PUNCT
cana-1015	41	34	1074	1074	NUM
cana-1015	41	35	-	-	PUNCT
cana-1015	41	36	133x	133x	NUM
cana-1015	41	37	vol	vol	NOUN
cana-1015	41	38	31	31	NUM
cana-1015	41	39	no	no	NOUN
cana-1015	41	40	.	.	PUNCT
cana-1015	42	1	5s	5s	NUM
cana-1015	42	2	(	(	PUNCT
cana-1015	42	3	2024	2024	NUM
cana-1015	42	4	)	)	PUNCT
cana-1015	42	5	206	206	NUM
cana-1015	42	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1015	42	7			X
cana-1015	42	8			X
cana-1015	42	9	=	=	SYM
cana-1015	42	10	21	21	NUM
cana-1015	42	11	,	,	PUNCT
cana-1015	42	12	21	21	NUM
cana-1015	42	13	)	)	PUNCT
cana-1015	42	14	,	,	PUNCT
cana-1015	42	15	(	(	PUNCT
cana-1015	42	16	)	)	PUNCT
cana-1015	42	17	,	,	PUNCT
cana-1015	42	18	(	(	PUNCT
cana-1015	42	19	sjsi	sjsi	NOUN
cana-1015	42	20	jiwsscut	jiwsscut	NOUN
cana-1015	42	21	(	(	PUNCT
cana-1015	42	22	2	2	NUM
cana-1015	42	23	)	)	PUNCT
cana-1015	42	24	to	to	PART
cana-1015	42	25	partition	partition	VERB
cana-1015	42	26	the	the	DET
cana-1015	42	27	graph	graph	NOUN
cana-1015	42	28	with	with	ADP
cana-1015	42	29	optimum	optimum	ADJ
cana-1015	42	30	accuracy	accuracy	NOUN
cana-1015	42	31	,	,	PUNCT
cana-1015	42	32	the	the	DET
cana-1015	42	33	cut	cut	NOUN
cana-1015	42	34	value	value	NOUN
cana-1015	42	35	mentioned	mention	VERB
cana-1015	42	36	in	in	ADP
cana-1015	42	37	(	(	PUNCT
cana-1015	42	38	2	2	X
cana-1015	42	39	)	)	PUNCT
cana-1015	42	40	should	should	AUX
cana-1015	42	41	be	be	AUX
cana-1015	42	42	minimize	minimize	VERB
cana-1015	42	43	.	.	PUNCT
cana-1015	43	1	based	base	VERB
cana-1015	43	2	on	on	ADP
cana-1015	43	3	this	this	DET
cana-1015	43	4	concept	concept	NOUN
cana-1015	43	5	,	,	PUNCT
cana-1015	43	6	the	the	DET
cana-1015	43	7	graph	graph	NOUN
cana-1015	43	8	cut	cut	NOUN
cana-1015	43	9	has	have	AUX
cana-1015	43	10	been	be	AUX
cana-1015	43	11	redefined	redefine	VERB
cana-1015	43	12	by	by	ADP
cana-1015	43	13	shi	shi	PROPN
cana-1015	43	14	and	and	CCONJ
cana-1015	43	15	malik	malik	PROPN
cana-1015	44	1	[	[	X
cana-1015	44	2	5	5	NUM
cana-1015	44	3	]	]	PUNCT
cana-1015	44	4	and	and	CCONJ
cana-1015	44	5	is	be	AUX
cana-1015	44	6	given	give	VERB
cana-1015	44	7	in	in	ADP
cana-1015	44	8	(	(	PUNCT
cana-1015	44	9	3	3	NUM
cana-1015	44	10	)	)	PUNCT
cana-1015	44	11	.	.	PUNCT
cana-1015	45	1	(	(	PUNCT
cana-1015	45	2	)	)	PUNCT
cana-1015	45	3	vsassoc	vsassoc	PROPN
cana-1015	45	4	sscut	sscut	ADJ
cana-1015	45	5	vsassoc	vsassoc	PROPN
cana-1015	45	6	sscut	sscut	PROPN
cana-1015	45	7	ssncut	ssncut	VERB
cana-1015	45	8	,	,	PUNCT
cana-1015	45	9	)	)	PUNCT
cana-1015	45	10	,	,	PUNCT
cana-1015	45	11	(	(	PUNCT
cana-1015	45	12	)	)	PUNCT
cana-1015	45	13	,	,	PUNCT
cana-1015	45	14	(	(	PUNCT
cana-1015	45	15	)	)	PUNCT
cana-1015	45	16	,	,	PUNCT
cana-1015	45	17	(	(	PUNCT
cana-1015	45	18	)	)	PUNCT
cana-1015	45	19	,	,	PUNCT
cana-1015	45	20	(	(	PUNCT
cana-1015	45	21	2	2	NUM
cana-1015	45	22	12	12	NUM
cana-1015	45	23	1	1	NUM
cana-1015	45	24	21	21	NUM
cana-1015	45	25	21	21	NUM
cana-1015	46	1	+	+	NOUN
cana-1015	46	2	=	=	SYM
cana-1015	46	3	(	(	PUNCT
cana-1015	46	4	3	3	NUM
cana-1015	46	5	)	)	PUNCT
cana-1015	46	6	in	in	ADP
cana-1015	46	7	a	a	DET
cana-1015	46	8	graph	graph	NOUN
cana-1015	46	9	,	,	PUNCT
cana-1015	46	10	𝑎𝑠𝑠𝑜𝑐(𝑆1	𝑎𝑠𝑠𝑜𝑐(𝑆1	NUM
cana-1015	46	11	,	,	PUNCT
cana-1015	46	12	𝑉	𝑉	PROPN
cana-1015	46	13	)	)	PUNCT
cana-1015	46	14	=	=	PUNCT
cana-1015	46	15	∑	∑	PUNCT
cana-1015	46	16	𝑊(𝑖	𝑊(𝑖	X
cana-1015	46	17	,	,	PUNCT
cana-1015	46	18	𝑗)𝑖∈𝑆1,𝑗∈𝑉	𝑗)𝑖∈𝑆1,𝑗∈𝑉	PROPN
cana-1015	46	19	is	be	AUX
cana-1015	46	20	the	the	DET
cana-1015	46	21	total	total	ADJ
cana-1015	46	22	number	number	NOUN
cana-1015	46	23	of	of	ADP
cana-1015	46	24	connections	connection	NOUN
cana-1015	46	25	from	from	ADP
cana-1015	46	26	nodes	node	NOUN
cana-1015	46	27	in	in	ADP
cana-1015	46	28	s1	s1	NOUN
cana-1015	46	29	to	to	ADP
cana-1015	46	30	all	all	DET
cana-1015	46	31	the	the	DET
cana-1015	46	32	available	available	ADJ
cana-1015	46	33	nodes	node	NOUN
cana-1015	46	34	.	.	PUNCT
cana-1015	47	1	fig	fig	NOUN
cana-1015	47	2	.	.	PUNCT
cana-1015	48	1	1	1	X
cana-1015	48	2	.	.	X
cana-1015	48	3	graph	graph	NOUN
cana-1015	48	4	cut	cut	VERB
cana-1015	48	5	3	3	NUM
cana-1015	48	6	.	.	PUNCT
cana-1015	48	7	proposed	propose	VERB
cana-1015	48	8	method	method	NOUN
cana-1015	48	9	for	for	ADP
cana-1015	48	10	selection	selection	NOUN
cana-1015	48	11	of	of	ADP
cana-1015	48	12	the	the	DET
cana-1015	48	13	weight	weight	NOUN
cana-1015	48	14	functions	function	NOUN
cana-1015	48	15	choosing	choose	VERB
cana-1015	48	16	the	the	DET
cana-1015	48	17	right	right	ADJ
cana-1015	48	18	weight	weight	NOUN
cana-1015	48	19	function	function	NOUN
cana-1015	48	20	for	for	ADP
cana-1015	48	21	the	the	DET
cana-1015	48	22	normalized	normalize	VERB
cana-1015	48	23	cut	cut	NOUN
cana-1015	48	24	(	(	PUNCT
cana-1015	48	25	ncut	ncut	ADJ
cana-1015	48	26	)	)	PUNCT
cana-1015	48	27	method	method	NOUN
cana-1015	48	28	in	in	ADP
cana-1015	48	29	image	image	NOUN
cana-1015	48	30	segmentation	segmentation	NOUN
cana-1015	48	31	is	be	AUX
cana-1015	48	32	a	a	DET
cana-1015	48	33	critical	critical	ADJ
cana-1015	48	34	step	step	NOUN
cana-1015	48	35	that	that	PRON
cana-1015	48	36	directly	directly	ADV
cana-1015	48	37	influences	influence	VERB
cana-1015	48	38	the	the	DET
cana-1015	48	39	quality	quality	NOUN
cana-1015	48	40	and	and	CCONJ
cana-1015	48	41	relevance	relevance	NOUN
cana-1015	48	42	of	of	ADP
cana-1015	48	43	the	the	DET
cana-1015	48	44	segmentation	segmentation	NOUN
cana-1015	48	45	results	result	VERB
cana-1015	48	46	.	.	PUNCT
cana-1015	49	1	the	the	DET
cana-1015	49	2	weight	weight	NOUN
cana-1015	49	3	function	function	NOUN
cana-1015	49	4	defines	define	VERB
cana-1015	49	5	the	the	DET
cana-1015	49	6	similarity	similarity	NOUN
cana-1015	49	7	between	between	ADP
cana-1015	49	8	pairs	pair	NOUN
cana-1015	49	9	of	of	ADP
cana-1015	49	10	pixels	pixel	NOUN
cana-1015	49	11	or	or	CCONJ
cana-1015	49	12	regions	region	NOUN
cana-1015	49	13	,	,	PUNCT
cana-1015	49	14	guiding	guide	VERB
cana-1015	49	15	the	the	DET
cana-1015	49	16	segmentation	segmentation	NOUN
cana-1015	49	17	process	process	NOUN
cana-1015	49	18	to	to	PART
cana-1015	49	19	divide	divide	VERB
cana-1015	49	20	the	the	DET
cana-1015	49	21	image	image	NOUN
cana-1015	49	22	into	into	ADP
cana-1015	49	23	coherent	coherent	ADJ
cana-1015	49	24	segments	segment	NOUN
cana-1015	49	25	based	base	VERB
cana-1015	49	26	on	on	ADP
cana-1015	49	27	shared	share	VERB
cana-1015	49	28	attributes	attribute	NOUN
cana-1015	49	29	such	such	ADJ
cana-1015	49	30	as	as	ADP
cana-1015	49	31	color	color	NOUN
cana-1015	49	32	,	,	PUNCT
cana-1015	49	33	texture	texture	NOUN
cana-1015	49	34	,	,	PUNCT
cana-1015	49	35	brightness	brightness	NOUN
cana-1015	49	36	,	,	PUNCT
cana-1015	49	37	and	and	CCONJ
cana-1015	49	38	spatial	spatial	ADJ
cana-1015	49	39	proximity	proximity	NOUN
cana-1015	49	40	.	.	PUNCT
cana-1015	50	1	the	the	DET
cana-1015	50	2	selection	selection	NOUN
cana-1015	50	3	and	and	CCONJ
cana-1015	50	4	tuning	tuning	NOUN
cana-1015	50	5	of	of	ADP
cana-1015	50	6	this	this	DET
cana-1015	50	7	function	function	NOUN
cana-1015	50	8	require	require	VERB
cana-1015	50	9	a	a	DET
cana-1015	50	10	thoughtful	thoughtful	ADJ
cana-1015	50	11	consideration	consideration	NOUN
cana-1015	50	12	of	of	ADP
cana-1015	50	13	the	the	DET
cana-1015	50	14	image	image	NOUN
cana-1015	50	15	characteristics	characteristic	NOUN
cana-1015	50	16	and	and	CCONJ
cana-1015	50	17	the	the	DET
cana-1015	50	18	specific	specific	ADJ
cana-1015	50	19	goals	goal	NOUN
cana-1015	50	20	of	of	ADP
cana-1015	50	21	the	the	DET
cana-1015	50	22	segmentation	segmentation	NOUN
cana-1015	50	23	task	task	NOUN
cana-1015	50	24	.	.	PUNCT
cana-1015	51	1	the	the	DET
cana-1015	51	2	first	first	ADJ
cana-1015	51	3	step	step	NOUN
cana-1015	51	4	in	in	ADP
cana-1015	51	5	selecting	select	VERB
cana-1015	51	6	the	the	DET
cana-1015	51	7	right	right	ADJ
cana-1015	51	8	weight	weight	NOUN
cana-1015	51	9	function	function	NOUN
cana-1015	51	10	is	be	AUX
cana-1015	51	11	a	a	DET
cana-1015	51	12	thorough	thorough	ADJ
cana-1015	51	13	analysis	analysis	NOUN
cana-1015	51	14	of	of	ADP
cana-1015	51	15	the	the	DET
cana-1015	51	16	image	image	NOUN
cana-1015	51	17	characteristics	characteristic	NOUN
cana-1015	51	18	.	.	PUNCT
cana-1015	52	1	images	image	NOUN
cana-1015	52	2	can	can	AUX
cana-1015	52	3	vastly	vastly	ADV
cana-1015	52	4	differ	differ	VERB
cana-1015	52	5	in	in	ADP
cana-1015	52	6	their	their	PRON
cana-1015	52	7	content	content	NOUN
cana-1015	52	8	and	and	CCONJ
cana-1015	52	9	structure	structure	NOUN
cana-1015	52	10	,	,	PUNCT
cana-1015	52	11	requiring	require	VERB
cana-1015	52	12	different	different	ADJ
cana-1015	52	13	approaches	approach	NOUN
cana-1015	52	14	for	for	ADP
cana-1015	52	15	effective	effective	ADJ
cana-1015	52	16	segmentation	segmentation	NOUN
cana-1015	52	17	.	.	PUNCT
cana-1015	53	1	color	color	NOUN
cana-1015	53	2	is	be	AUX
cana-1015	53	3	a	a	DET
cana-1015	53	4	primary	primary	ADJ
cana-1015	53	5	feature	feature	NOUN
cana-1015	53	6	in	in	ADP
cana-1015	53	7	image	image	NOUN
cana-1015	53	8	segmentation	segmentation	NOUN
cana-1015	53	9	.	.	PUNCT
cana-1015	54	1	the	the	DET
cana-1015	54	2	choice	choice	NOUN
cana-1015	54	3	of	of	ADP
cana-1015	54	4	color	color	NOUN
cana-1015	54	5	space	space	NOUN
cana-1015	54	6	(	(	PUNCT
cana-1015	54	7	rgb	rgb	PROPN
cana-1015	54	8	,	,	PUNCT
cana-1015	54	9	hsv	hsv	PROPN
cana-1015	54	10	,	,	PUNCT
cana-1015	54	11	lab	lab	NOUN
cana-1015	54	12	,	,	PUNCT
cana-1015	54	13	etc	etc	X
cana-1015	54	14	.	.	X
cana-1015	54	15	)	)	PUNCT
cana-1015	55	1	and	and	CCONJ
cana-1015	55	2	how	how	SCONJ
cana-1015	55	3	color	color	ADJ
cana-1015	55	4	similarity	similarity	NOUN
cana-1015	55	5	is	be	AUX
cana-1015	55	6	measured	measure	VERB
cana-1015	55	7	can	can	AUX
cana-1015	55	8	significantly	significantly	ADV
cana-1015	55	9	impact	impact	VERB
cana-1015	55	10	segmentation	segmentation	NOUN
cana-1015	55	11	performance	performance	NOUN
cana-1015	55	12	[	[	X
cana-1015	55	13	1	1	NUM
cana-1015	55	14	-	-	SYM
cana-1015	55	15	4	4	NUM
cana-1015	55	16	]	]	PUNCT
cana-1015	55	17	.	.	PUNCT
cana-1015	56	1	texture	texture	NOUN
cana-1015	56	2	provides	provide	VERB
cana-1015	56	3	critical	critical	ADJ
cana-1015	56	4	information	information	NOUN
cana-1015	56	5	in	in	ADP
cana-1015	56	6	images	image	NOUN
cana-1015	56	7	where	where	SCONJ
cana-1015	56	8	color	color	NOUN
cana-1015	56	9	alone	alone	ADV
cana-1015	56	10	is	be	AUX
cana-1015	56	11	not	not	PART
cana-1015	56	12	sufficient	sufficient	ADJ
cana-1015	56	13	communications	communication	NOUN
cana-1015	56	14	on	on	ADP
cana-1015	56	15	applied	apply	VERB
cana-1015	56	16	nonlinear	nonlinear	ADJ
cana-1015	56	17	analysis	analysis	NOUN
cana-1015	56	18	issn	issn	NOUN
cana-1015	56	19	:	:	PUNCT
cana-1015	56	20	1074	1074	NUM
cana-1015	56	21	-	-	PUNCT
cana-1015	56	22	133x	133x	NUM
cana-1015	56	23	vol	vol	NOUN
cana-1015	56	24	31	31	NUM
cana-1015	56	25	no	no	NOUN
cana-1015	56	26	.	.	PUNCT
cana-1015	57	1	5s	5s	NUM
cana-1015	57	2	(	(	PUNCT
cana-1015	57	3	2024	2024	NUM
cana-1015	57	4	)	)	PUNCT
cana-1015	57	5	207	207	NUM
cana-1015	57	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1015	57	7	for	for	ADP
cana-1015	57	8	differentiation	differentiation	NOUN
cana-1015	57	9	.	.	PUNCT
cana-1015	58	1	texture	texture	ADJ
cana-1015	58	2	analysis	analysis	NOUN
cana-1015	58	3	methods	method	NOUN
cana-1015	58	4	,	,	PUNCT
cana-1015	58	5	such	such	ADJ
cana-1015	58	6	as	as	ADP
cana-1015	58	7	local	local	ADJ
cana-1015	58	8	binary	binary	ADJ
cana-1015	58	9	patterns	pattern	NOUN
cana-1015	58	10	(	(	PUNCT
cana-1015	58	11	lbp	lbp	PROPN
cana-1015	58	12	)	)	PUNCT
cana-1015	58	13	or	or	CCONJ
cana-1015	58	14	gabor	gabor	NOUN
cana-1015	58	15	filters	filter	NOUN
cana-1015	58	16	,	,	PUNCT
cana-1015	58	17	can	can	AUX
cana-1015	58	18	enhance	enhance	VERB
cana-1015	58	19	segmentation	segmentation	NOUN
cana-1015	58	20	by	by	ADP
cana-1015	58	21	integrating	integrate	VERB
cana-1015	58	22	texture	texture	NOUN
cana-1015	58	23	-	-	PUNCT
cana-1015	58	24	based	base	VERB
cana-1015	58	25	similarity	similarity	NOUN
cana-1015	58	26	into	into	ADP
cana-1015	58	27	the	the	DET
cana-1015	58	28	weight	weight	NOUN
cana-1015	58	29	function	function	NOUN
cana-1015	58	30	[	[	X
cana-1015	58	31	4	4	NUM
cana-1015	58	32	]	]	PUNCT
cana-1015	58	33	.	.	PUNCT
cana-1015	59	1	the	the	DET
cana-1015	59	2	spatial	spatial	ADJ
cana-1015	59	3	proximity	proximity	NOUN
cana-1015	59	4	of	of	ADP
cana-1015	59	5	pixels	pixel	NOUN
cana-1015	59	6	or	or	CCONJ
cana-1015	59	7	regions	region	NOUN
cana-1015	59	8	plays	play	VERB
cana-1015	59	9	a	a	DET
cana-1015	59	10	crucial	crucial	ADJ
cana-1015	59	11	role	role	NOUN
cana-1015	59	12	in	in	ADP
cana-1015	59	13	segmenting	segment	VERB
cana-1015	59	14	images	image	NOUN
cana-1015	59	15	with	with	ADP
cana-1015	59	16	coherent	coherent	ADJ
cana-1015	59	17	regions	region	NOUN
cana-1015	59	18	.	.	PUNCT
cana-1015	60	1	weight	weight	NOUN
cana-1015	60	2	functions	function	NOUN
cana-1015	60	3	that	that	PRON
cana-1015	60	4	incorporate	incorporate	VERB
cana-1015	60	5	spatial	spatial	ADJ
cana-1015	60	6	information	information	NOUN
cana-1015	60	7	can	can	AUX
cana-1015	60	8	prevent	prevent	VERB
cana-1015	60	9	the	the	DET
cana-1015	60	10	fragmentation	fragmentation	NOUN
cana-1015	60	11	of	of	ADP
cana-1015	60	12	segments	segment	NOUN
cana-1015	60	13	and	and	CCONJ
cana-1015	60	14	maintain	maintain	VERB
cana-1015	60	15	the	the	DET
cana-1015	60	16	continuity	continuity	NOUN
cana-1015	60	17	of	of	ADP
cana-1015	60	18	structures	structure	NOUN
cana-1015	60	19	[	[	X
cana-1015	60	20	9,15	9,15	X
cana-1015	60	21	]	]	PUNCT
cana-1015	60	22	.	.	PUNCT
cana-1015	61	1	given	give	VERB
cana-1015	61	2	the	the	DET
cana-1015	61	3	diversity	diversity	NOUN
cana-1015	61	4	of	of	ADP
cana-1015	61	5	image	image	NOUN
cana-1015	61	6	characteristics	characteristic	NOUN
cana-1015	61	7	,	,	PUNCT
cana-1015	61	8	the	the	DET
cana-1015	61	9	selection	selection	NOUN
cana-1015	61	10	of	of	ADP
cana-1015	61	11	weight	weight	NOUN
cana-1015	61	12	functions	function	NOUN
cana-1015	61	13	is	be	AUX
cana-1015	61	14	not	not	PART
cana-1015	61	15	a	a	DET
cana-1015	61	16	one	one	NUM
cana-1015	61	17	-	-	PUNCT
cana-1015	61	18	size	size	NOUN
cana-1015	61	19	-	-	PUNCT
cana-1015	61	20	fits	fit	VERB
cana-1015	61	21	-	-	PUNCT
cana-1015	61	22	all	all	PRON
cana-1015	61	23	solution	solution	NOUN
cana-1015	61	24	.	.	PUNCT
cana-1015	62	1	the	the	DET
cana-1015	62	2	choice	choice	NOUN
cana-1015	62	3	depends	depend	VERB
cana-1015	62	4	on	on	ADP
cana-1015	62	5	the	the	DET
cana-1015	62	6	specific	specific	ADJ
cana-1015	62	7	requirements	requirement	NOUN
cana-1015	62	8	of	of	ADP
cana-1015	62	9	the	the	DET
cana-1015	62	10	segmentation	segmentation	NOUN
cana-1015	62	11	task	task	NOUN
cana-1015	62	12	and	and	CCONJ
cana-1015	62	13	the	the	DET
cana-1015	62	14	characteristics	characteristic	NOUN
cana-1015	62	15	of	of	ADP
cana-1015	62	16	the	the	DET
cana-1015	62	17	image	image	NOUN
cana-1015	62	18	to	to	PART
cana-1015	62	19	be	be	AUX
cana-1015	62	20	segmented	segment	VERB
cana-1015	62	21	.	.	PUNCT
cana-1015	63	1	3.1	3.1	NUM
cana-1015	63	2	.	.	PUNCT
cana-1015	63	3	gaussian	gaussian	ADJ
cana-1015	63	4	similarity	similarity	NOUN
cana-1015	63	5	function	function	NOUN
cana-1015	63	6	(	(	PUNCT
cana-1015	63	7	gsf	gsf	PROPN
cana-1015	63	8	)	)	PUNCT
cana-1015	63	9	one	one	NUM
cana-1015	63	10	of	of	ADP
cana-1015	63	11	the	the	DET
cana-1015	63	12	most	most	ADV
cana-1015	63	13	popular	popular	ADJ
cana-1015	63	14	weight	weight	NOUN
cana-1015	63	15	functions	function	NOUN
cana-1015	63	16	for	for	ADP
cana-1015	63	17	image	image	NOUN
cana-1015	63	18	segmentation	segmentation	NOUN
cana-1015	63	19	is	be	AUX
cana-1015	63	20	the	the	DET
cana-1015	63	21	gaussian	gaussian	ADJ
cana-1015	63	22	similarity	similarity	NOUN
cana-1015	63	23	function	function	NOUN
cana-1015	63	24	.	.	PUNCT
cana-1015	64	1	it	it	PRON
cana-1015	64	2	is	be	AUX
cana-1015	64	3	particularly	particularly	ADV
cana-1015	64	4	effective	effective	ADJ
cana-1015	64	5	for	for	ADP
cana-1015	64	6	capturing	capture	VERB
cana-1015	64	7	the	the	DET
cana-1015	64	8	similarity	similarity	NOUN
cana-1015	64	9	based	base	VERB
cana-1015	64	10	on	on	ADP
cana-1015	64	11	intensity	intensity	NOUN
cana-1015	64	12	or	or	CCONJ
cana-1015	64	13	color	color	NOUN
cana-1015	64	14	and	and	CCONJ
cana-1015	64	15	spatial	spatial	ADJ
cana-1015	64	16	proximity	proximity	NOUN
cana-1015	64	17	(	(	PUNCT
cana-1015	64	18	4	4	NUM
cana-1015	64	19	):	):	PUNCT
cana-1015	64	20	w(i	w(i	PROPN
cana-1015	64	21	,	,	PUNCT
cana-1015	64	22	j	j	NOUN
cana-1015	64	23	)	)	PUNCT
cana-1015	64	24	=	=	PUNCT
cana-1015	65	1	e	e	X
cana-1015	65	2	−‖f(i)−f(j)‖2	−‖f(i)−f(j)‖2	NOUN
cana-1015	65	3	σi	σi	INTJ
cana-1015	65	4	×	×	PROPN
cana-1015	65	5	{	{	PUNCT
cana-1015	65	6	0	0	NUM
cana-1015	65	7	otherwise	otherwise	ADV
cana-1015	65	8	e	e	X
cana-1015	65	9	−‖x(i)−x(j)‖2	−‖x(i)−x(j)‖2	NOUN
cana-1015	65	10	σx	σx	NOUN
cana-1015	65	11	if	if	SCONJ
cana-1015	65	12	‖x(i)−x(j)‖<r	‖x(i)−x(j)‖<r	PROPN
cana-1015	65	13	(	(	PUNCT
cana-1015	65	14	4	4	X
cana-1015	65	15	)	)	PUNCT
cana-1015	65	16	f(i	f(i	NUM
cana-1015	65	17	)	)	PUNCT
cana-1015	65	18	and	and	CCONJ
cana-1015	65	19	f(j	f(j	NOUN
cana-1015	65	20	)	)	PUNCT
cana-1015	65	21	represent	represent	VERB
cana-1015	65	22	the	the	DET
cana-1015	65	23	intensity	intensity	NOUN
cana-1015	65	24	or	or	CCONJ
cana-1015	65	25	color	color	NOUN
cana-1015	65	26	vectors	vector	NOUN
cana-1015	65	27	of	of	ADP
cana-1015	65	28	pixels	pixel	NOUN
cana-1015	65	29	i	i	PRON
cana-1015	65	30	and	and	CCONJ
cana-1015	65	31	j	j	PROPN
cana-1015	65	32	,	,	PUNCT
cana-1015	65	33	respectively	respectively	ADV
cana-1015	65	34	.	.	PUNCT
cana-1015	66	1	x(i	x(i	PROPN
cana-1015	66	2	)	)	PUNCT
cana-1015	66	3	and	and	CCONJ
cana-1015	66	4	x(j	x(j	PROPN
cana-1015	66	5	)	)	PUNCT
cana-1015	66	6	denote	denote	VERB
cana-1015	66	7	the	the	DET
cana-1015	66	8	spatial	spatial	ADJ
cana-1015	66	9	coordinates	coordinate	NOUN
cana-1015	66	10	of	of	ADP
cana-1015	66	11	pixels	pixel	NOUN
cana-1015	66	12	i	i	PRON
cana-1015	66	13	and	and	CCONJ
cana-1015	66	14	j	j	PROPN
cana-1015	66	15	,	,	PUNCT
cana-1015	66	16	respectively	respectively	ADV
cana-1015	66	17	.	.	PUNCT
cana-1015	67	1	𝜎𝐼	𝜎𝐼	ADJ
cana-1015	67	2	controls	control	VERB
cana-1015	67	3	the	the	DET
cana-1015	67	4	sensitivity	sensitivity	NOUN
cana-1015	67	5	to	to	ADP
cana-1015	67	6	differences	difference	NOUN
cana-1015	67	7	in	in	ADP
cana-1015	67	8	color	color	NOUN
cana-1015	67	9	or	or	CCONJ
cana-1015	67	10	intensity	intensity	NOUN
cana-1015	67	11	,	,	PUNCT
cana-1015	67	12	while	while	SCONJ
cana-1015	67	13	𝜎𝑥	𝜎𝑥	NOUN
cana-1015	67	14	adjusts	adjust	VERB
cana-1015	67	15	the	the	DET
cana-1015	67	16	influence	influence	NOUN
cana-1015	67	17	of	of	ADP
cana-1015	67	18	spatial	spatial	ADJ
cana-1015	67	19	distance	distance	NOUN
cana-1015	67	20	.	.	PUNCT
cana-1015	68	1	3.2	3.2	NUM
cana-1015	68	2	.	.	PUNCT
cana-1015	69	1	gradient	gradient	NOUN
cana-1015	69	2	-	-	PUNCT
cana-1015	69	3	based	base	VERB
cana-1015	69	4	weight	weight	NOUN
cana-1015	69	5	function	function	NOUN
cana-1015	69	6	(	(	PUNCT
cana-1015	69	7	gwf	gwf	NOUN
cana-1015	69	8	)	)	PUNCT
cana-1015	69	9	𝑾(𝒖	𝑾(𝒖	NOUN
cana-1015	69	10	,	,	PUNCT
cana-1015	69	11	𝒗	𝒗	PROPN
cana-1015	69	12	)	)	PUNCT
cana-1015	69	13	=	=	SYM
cana-1015	69	14	𝒆	𝒆	PROPN
cana-1015	69	15	−‖𝜵𝑰(𝒖)−𝜵𝑰(𝒗)‖𝟐	−‖𝜵𝑰(𝒖)−𝜵𝑰(𝒗)‖𝟐	NOUN
cana-1015	69	16	𝟐𝜎2	𝟐𝜎2	PUNCT
cana-1015	70	1	𝜵	𝜵	ADJ
cana-1015	70	2	×	×	NOUN
cana-1015	70	3	{	{	PUNCT
cana-1015	70	4	𝟎	𝟎	NUM
cana-1015	70	5	𝒐𝒕𝒉𝒆𝒓𝒘𝒊𝒔𝒆	𝒐𝒕𝒉𝒆𝒓𝒘𝒊𝒔𝒆	NOUN
cana-1015	70	6	𝒆	𝒆	PROPN
cana-1015	70	7	−‖𝑿(𝒖)−𝑿(𝒗)‖𝟐	−‖𝑿(𝒖)−𝑿(𝒗)‖𝟐	PROPN
cana-1015	70	8	𝟐𝝈𝟐	𝟐𝝈𝟐	PUNCT
cana-1015	70	9	𝑿	𝑿	PROPN
cana-1015	70	10	𝒊𝒇	𝒊𝒇	VERB
cana-1015	70	11	‖𝑿(𝒖)−𝑿(𝒗)‖<𝒓	‖𝑿(𝒖)−𝑿(𝒗)‖<𝒓	ADV
cana-1015	70	12	(	(	PUNCT
cana-1015	70	13	5	5	NUM
cana-1015	70	14	)	)	PUNCT
cana-1015	70	15	this	this	DET
cana-1015	70	16	function	function	NOUN
cana-1015	70	17	(	(	PUNCT
cana-1015	70	18	5	5	NUM
cana-1015	70	19	)	)	PUNCT
cana-1015	70	20	considers	consider	VERB
cana-1015	70	21	the	the	DET
cana-1015	70	22	gradient	gradient	NOUN
cana-1015	70	23	or	or	CCONJ
cana-1015	70	24	the	the	DET
cana-1015	70	25	edge	edge	NOUN
cana-1015	70	26	information	information	NOUN
cana-1015	70	27	between	between	ADP
cana-1015	70	28	pixels	pixel	NOUN
cana-1015	70	29	,	,	PUNCT
cana-1015	70	30	which	which	PRON
cana-1015	70	31	is	be	AUX
cana-1015	70	32	useful	useful	ADJ
cana-1015	70	33	for	for	ADP
cana-1015	70	34	detecting	detect	VERB
cana-1015	70	35	boundaries	boundary	NOUN
cana-1015	70	36	between	between	ADP
cana-1015	70	37	segments	segment	NOUN
cana-1015	70	38	.	.	PUNCT
cana-1015	71	1	∇i(u	∇i(u	PROPN
cana-1015	71	2	)	)	PUNCT
cana-1015	72	1	and	and	CCONJ
cana-1015	72	2	∇i(v	∇i(v	NOUN
cana-1015	72	3	)	)	PUNCT
cana-1015	72	4	are	be	AUX
cana-1015	72	5	the	the	DET
cana-1015	72	6	gradient	gradient	NOUN
cana-1015	72	7	magnitudes	magnitude	NOUN
cana-1015	72	8	at	at	ADP
cana-1015	72	9	pixels	pixel	NOUN
cana-1015	72	10	u	u	NOUN
cana-1015	72	11	and	and	CCONJ
cana-1015	72	12	v	v	NOUN
cana-1015	72	13	,	,	PUNCT
cana-1015	72	14	indicating	indicate	VERB
cana-1015	72	15	edge	edge	NOUN
cana-1015	72	16	strength	strength	NOUN
cana-1015	72	17	.	.	PUNCT
cana-1015	73	1	𝜎𝛻	𝜎𝛻	VERB
cana-1015	73	2	controls	control	VERB
cana-1015	73	3	the	the	DET
cana-1015	73	4	sensitivity	sensitivity	NOUN
cana-1015	73	5	to	to	ADP
cana-1015	73	6	differences	difference	NOUN
cana-1015	73	7	in	in	ADP
cana-1015	73	8	gradient	gradient	ADJ
cana-1015	73	9	magnitude	magnitude	NOUN
cana-1015	73	10	.	.	PUNCT
cana-1015	74	1	3.3	3.3	NUM
cana-1015	74	2	.	.	PUNCT
cana-1015	75	1	texture	texture	ADJ
cana-1015	75	2	similarity	similarity	NOUN
cana-1015	75	3	function(tsf	function(tsf	NOUN
cana-1015	75	4	)	)	PUNCT
cana-1015	76	1	𝐰(𝐮	𝐰(𝐮	PROPN
cana-1015	76	2	,	,	PUNCT
cana-1015	76	3	𝐯	𝐯	PROPN
cana-1015	76	4	)	)	PUNCT
cana-1015	76	5	=	=	SYM
cana-1015	76	6	𝐞	𝐞	PROPN
cana-1015	76	7	−||𝐓(𝐮)−𝐓(𝐯)||𝟐	−||𝐓(𝐮)−𝐓(𝐯)||𝟐	ADP
cana-1015	76	8	𝟐𝛔𝐓	𝟐𝛔𝐓	X
cana-1015	76	9	𝟐	𝟐	NUM
cana-1015	76	10	(	(	PUNCT
cana-1015	76	11	6	6	NUM
cana-1015	76	12	)	)	PUNCT
cana-1015	76	13	for	for	ADP
cana-1015	76	14	the	the	DET
cana-1015	76	15	image	image	NOUN
cana-1015	76	16	where	where	SCONJ
cana-1015	76	17	texture	texture	NOUN
cana-1015	76	18	plays	play	VERB
cana-1015	76	19	a	a	DET
cana-1015	76	20	significant	significant	ADJ
cana-1015	76	21	role	role	NOUN
cana-1015	76	22	in	in	ADP
cana-1015	76	23	differentiating	differentiate	VERB
cana-1015	76	24	regions	region	NOUN
cana-1015	76	25	,	,	PUNCT
cana-1015	76	26	a	a	DET
cana-1015	76	27	texture	texture	ADJ
cana-1015	76	28	similarity	similarity	NOUN
cana-1015	76	29	function	function	NOUN
cana-1015	76	30	might	might	AUX
cana-1015	76	31	be	be	AUX
cana-1015	76	32	employed	employ	VERB
cana-1015	76	33	,	,	PUNCT
cana-1015	76	34	often	often	ADV
cana-1015	76	35	based	base	VERB
cana-1015	76	36	on	on	ADP
cana-1015	76	37	texture	texture	ADJ
cana-1015	76	38	descriptor	descriptor	NOUN
cana-1015	76	39	such	such	ADJ
cana-1015	76	40	as	as	ADP
cana-1015	76	41	local	local	ADJ
cana-1015	76	42	binary	binary	ADJ
cana-1015	76	43	pattern	pattern	NOUN
cana-1015	76	44	(	(	PUNCT
cana-1015	76	45	lbp	lbp	NOUN
cana-1015	76	46	)	)	PUNCT
cana-1015	76	47	or	or	CCONJ
cana-1015	76	48	gabor	gabor	NOUN
cana-1015	76	49	filters	filter	NOUN
cana-1015	76	50	.	.	PUNCT
cana-1015	77	1	t(u	t(u	NUM
cana-1015	77	2	)	)	PUNCT
cana-1015	77	3	and	and	CCONJ
cana-1015	77	4	t(v	t(v	NOUN
cana-1015	77	5	)	)	PUNCT
cana-1015	78	1	represents	represent	VERB
cana-1015	78	2	the	the	DET
cana-1015	78	3	texture	texture	ADJ
cana-1015	78	4	descriptors	descriptor	NOUN
cana-1015	78	5	of	of	ADP
cana-1015	78	6	pixels	pixel	NOUN
cana-1015	78	7	u	u	NOUN
cana-1015	78	8	and	and	CCONJ
cana-1015	78	9	v	v	NOUN
cana-1015	78	10	,	,	PUNCT
cana-1015	78	11	respectively	respectively	ADV
cana-1015	78	12	.	.	PUNCT
cana-1015	79	1	𝛔𝐓	𝛔𝐓	PRON
cana-1015	79	2	adjusts	adjust	VERB
cana-1015	79	3	the	the	DET
cana-1015	79	4	sensitivity	sensitivity	NOUN
cana-1015	79	5	to	to	PART
cana-1015	79	6	difference	difference	NOUN
cana-1015	79	7	in	in	ADP
cana-1015	79	8	texture	texture	NOUN
cana-1015	79	9	(	(	PUNCT
cana-1015	79	10	6	6	NUM
cana-1015	79	11	)	)	PUNCT
cana-1015	79	12	.	.	PUNCT
cana-1015	80	1	3.4	3.4	NUM
cana-1015	80	2	.	.	PUNCT
cana-1015	80	3	combined	combine	VERB
cana-1015	80	4	feature	feature	NOUN
cana-1015	80	5	similarity(cfs	similarity(cfs	NOUN
cana-1015	80	6	)	)	PUNCT
cana-1015	80	7	combination	combination	NOUN
cana-1015	80	8	of	of	ADP
cana-1015	80	9	features	feature	NOUN
cana-1015	80	10	(	(	PUNCT
cana-1015	80	11	color	color	NOUN
cana-1015	80	12	,	,	PUNCT
cana-1015	80	13	texture	texture	ADJ
cana-1015	80	14	,	,	PUNCT
cana-1015	80	15	gradient	gradient	NOUN
cana-1015	80	16	)	)	PUNCT
cana-1015	80	17	is	be	AUX
cana-1015	80	18	used	use	VERB
cana-1015	80	19	to	to	PART
cana-1015	80	20	define	define	VERB
cana-1015	80	21	the	the	DET
cana-1015	80	22	weight	weight	NOUN
cana-1015	80	23	function	function	NOUN
cana-1015	80	24	,	,	PUNCT
cana-1015	80	25	providing	provide	VERB
cana-1015	80	26	a	a	DET
cana-1015	80	27	more	more	ADV
cana-1015	80	28	comprehensive	comprehensive	ADJ
cana-1015	80	29	measure	measure	NOUN
cana-1015	80	30	of	of	ADP
cana-1015	80	31	similarity	similarity	NOUN
cana-1015	80	32	(	(	PUNCT
cana-1015	80	33	7	7	NUM
cana-1015	80	34	)	)	PUNCT
cana-1015	80	35	.	.	PUNCT
cana-1015	81	1	𝑾(𝒖	𝑾(𝒖	VERB
cana-1015	81	2	,	,	PUNCT
cana-1015	81	3	𝒗	𝒗	PROPN
cana-1015	81	4	)	)	PUNCT
cana-1015	81	5	=	=	SYM
cana-1015	82	1	𝒆	𝒆	X
cana-1015	82	2	−‖𝑭(𝒖)−𝑭(𝒗)‖𝟐	−‖𝑭(𝒖)−𝑭(𝒗)‖𝟐	NOUN
cana-1015	82	3	𝟐𝜎2	𝟐𝜎2	PUNCT
cana-1015	83	1	𝑭	𝑭	ADJ
cana-1015	83	2	×	×	NOUN
cana-1015	83	3	{	{	PUNCT
cana-1015	83	4	𝟎	𝟎	NUM
cana-1015	83	5	𝒐𝒕𝒉𝒆𝒓𝒘𝒊𝒔𝒆	𝒐𝒕𝒉𝒆𝒓𝒘𝒊𝒔𝒆	NOUN
cana-1015	83	6	𝒆	𝒆	PROPN
cana-1015	83	7	−‖𝑿(𝒖)−𝑿(𝒗)‖𝟐	−‖𝑿(𝒖)−𝑿(𝒗)‖𝟐	PROPN
cana-1015	83	8	𝟐𝝈𝟐	𝟐𝝈𝟐	PUNCT
cana-1015	83	9	𝑿	𝑿	PROPN
cana-1015	83	10	𝒊𝒇	𝒊𝒇	VERB
cana-1015	83	11	‖𝑿(𝒖)−𝑿(𝒗)‖<𝒓	‖𝑿(𝒖)−𝑿(𝒗)‖<𝒓	ADV
cana-1015	83	12	(	(	PUNCT
cana-1015	83	13	7	7	NUM
cana-1015	83	14	)	)	PUNCT
cana-1015	83	15	f(u	f(u	PROPN
cana-1015	83	16	)	)	PUNCT
cana-1015	83	17	and	and	CCONJ
cana-1015	83	18	f(v	f(v	NOUN
cana-1015	83	19	)	)	PUNCT
cana-1015	83	20	could	could	AUX
cana-1015	83	21	include	include	VERB
cana-1015	83	22	combined	combined	ADJ
cana-1015	83	23	features	feature	NOUN
cana-1015	83	24	such	such	ADJ
cana-1015	83	25	as	as	ADP
cana-1015	83	26	color	color	NOUN
cana-1015	83	27	intensity	intensity	NOUN
cana-1015	83	28	,	,	PUNCT
cana-1015	83	29	texture	texture	NOUN
cana-1015	83	30	,	,	PUNCT
cana-1015	83	31	and	and	CCONJ
cana-1015	83	32	gradient	gradient	NOUN
cana-1015	83	33	.	.	PUNCT
cana-1015	84	1	communications	communication	NOUN
cana-1015	84	2	on	on	ADP
cana-1015	84	3	applied	apply	VERB
cana-1015	84	4	nonlinear	nonlinear	ADJ
cana-1015	84	5	analysis	analysis	NOUN
cana-1015	84	6	issn	issn	NOUN
cana-1015	84	7	:	:	PUNCT
cana-1015	84	8	1074	1074	NUM
cana-1015	84	9	-	-	PUNCT
cana-1015	84	10	133x	133x	NUM
cana-1015	84	11	vol	vol	NOUN
cana-1015	84	12	31	31	NUM
cana-1015	84	13	no	no	NOUN
cana-1015	84	14	.	.	PUNCT
cana-1015	85	1	5s	5s	NUM
cana-1015	85	2	(	(	PUNCT
cana-1015	85	3	2024	2024	NUM
cana-1015	85	4	)	)	PUNCT
cana-1015	85	5	208	208	NUM
cana-1015	85	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1015	85	7	𝜎𝐹	𝜎𝐹	PROPN
cana-1015	85	8	and	and	CCONJ
cana-1015	85	9	𝜎𝑋	𝜎𝑋	PROPN
cana-1015	85	10	parameters	parameter	NOUN
cana-1015	85	11	that	that	PRON
cana-1015	85	12	respectively	respectively	ADV
cana-1015	85	13	control	control	VERB
cana-1015	85	14	the	the	DET
cana-1015	85	15	sensitivity	sensitivity	NOUN
cana-1015	85	16	to	to	PART
cana-1015	85	17	feature	feature	VERB
cana-1015	85	18	differences	difference	NOUN
cana-1015	85	19	and	and	CCONJ
cana-1015	85	20	spatial	spatial	ADJ
cana-1015	85	21	proximity	proximity	NOUN
cana-1015	85	22	.	.	PUNCT
cana-1015	86	1	4	4	X
cana-1015	86	2	.	.	NOUN
cana-1015	86	3	results	result	NOUN
cana-1015	86	4	and	and	CCONJ
cana-1015	86	5	discussion	discussion	NOUN
cana-1015	86	6	we	we	PRON
cana-1015	86	7	did	do	VERB
cana-1015	86	8	several	several	ADJ
cana-1015	86	9	tests	test	NOUN
cana-1015	86	10	with	with	ADP
cana-1015	86	11	the	the	DET
cana-1015	86	12	four	four	NUM
cana-1015	86	13	weight	weight	NOUN
cana-1015	86	14	functions	function	NOUN
cana-1015	86	15	using	use	VERB
cana-1015	86	16	the	the	DET
cana-1015	86	17	normalized	normalize	VERB
cana-1015	86	18	cut	cut	VERB
cana-1015	86	19	algorithm	algorithm	NOUN
cana-1015	86	20	on	on	ADP
cana-1015	86	21	the	the	DET
cana-1015	86	22	image	image	NOUN
cana-1015	86	23	's	's	PART
cana-1015	86	24	colour	colour	NOUN
cana-1015	86	25	channels	channel	NOUN
cana-1015	86	26	and	and	CCONJ
cana-1015	86	27	we	we	PRON
cana-1015	86	28	have	have	AUX
cana-1015	86	29	selected	select	VERB
cana-1015	86	30	the	the	DET
cana-1015	86	31	images	image	NOUN
cana-1015	86	32	from	from	ADP
cana-1015	86	33	corel	corel	NOUN
cana-1015	86	34	and	and	CCONJ
cana-1015	86	35	berkley	berkley	NOUN
cana-1015	86	36	database	database	NOUN
cana-1015	86	37	.	.	PUNCT
cana-1015	87	1	we	we	PRON
cana-1015	87	2	have	have	AUX
cana-1015	87	3	compared	compare	VERB
cana-1015	87	4	the	the	DET
cana-1015	87	5	results	result	NOUN
cana-1015	87	6	with	with	ADP
cana-1015	87	7	otsu	otsu	NOUN
cana-1015	87	8	and	and	CCONJ
cana-1015	87	9	c	c	NOUN
cana-1015	87	10	means	mean	VERB
cana-1015	87	11	algorithm	algorithm	NOUN
cana-1015	87	12	and	and	CCONJ
cana-1015	87	13	validated	validate	VERB
cana-1015	87	14	these	these	DET
cana-1015	87	15	results	result	NOUN
cana-1015	87	16	using	use	VERB
cana-1015	87	17	jaccard	jaccard	ADJ
cana-1015	87	18	coefficient	coefficient	NOUN
cana-1015	87	19	,	,	PUNCT
cana-1015	87	20	dice	dice	NOUN
cana-1015	87	21	coefficient	coefficient	NOUN
cana-1015	87	22	and	and	CCONJ
cana-1015	87	23	mean	mean	VERB
cana-1015	87	24	square	square	ADJ
cana-1015	87	25	error	error	NOUN
cana-1015	87	26	.	.	PUNCT
cana-1015	88	1	let	let	VERB
cana-1015	88	2	s1	s1	NOUN
cana-1015	88	3	be	be	AUX
cana-1015	88	4	the	the	DET
cana-1015	88	5	segmented	segment	VERB
cana-1015	88	6	image	image	NOUN
cana-1015	88	7	and	and	CCONJ
cana-1015	88	8	s2	s2	NOUN
cana-1015	88	9	be	be	AUX
cana-1015	88	10	the	the	DET
cana-1015	88	11	ground	ground	NOUN
cana-1015	88	12	truth	truth	NOUN
cana-1015	88	13	.	.	PUNCT
cana-1015	89	1	both	both	PRON
cana-1015	89	2	s1	s1	PROPN
cana-1015	89	3	and	and	CCONJ
cana-1015	89	4	s2	s2	PROPN
cana-1015	89	5	have	have	VERB
cana-1015	89	6	the	the	DET
cana-1015	89	7	same	same	ADJ
cana-1015	89	8	size	size	NOUN
cana-1015	89	9	,	,	PUNCT
cana-1015	89	10	which	which	PRON
cana-1015	89	11	is	be	AUX
cana-1015	89	12	m	m	PROPN
cana-1015	89	13	x	x	NOUN
cana-1015	89	14	n.	n.	NOUN
cana-1015	89	15	then	then	ADV
cana-1015	89	16	,	,	PUNCT
cana-1015	89	17	jc	jc	PROPN
cana-1015	89	18	is	be	AUX
cana-1015	89	19	defined	define	VERB
cana-1015	89	20	as	as	ADP
cana-1015	89	21	(	(	PUNCT
cana-1015	89	22	8)	8)	NUM
cana-1015	89	23	:	:	SYM
cana-1015	89	24	21	21	NUM
cana-1015	89	25	21	21	NUM
cana-1015	89	26	21	21	NUM
cana-1015	89	27	)	)	PUNCT
cana-1015	89	28	,	,	PUNCT
cana-1015	89	29	(	(	PUNCT
cana-1015	89	30	ss	ss	ADP
cana-1015	89	31	ss	ss	PROPN
cana-1015	89	32	sscj	sscj	PROPN
cana-1015	89	33			NOUN
cana-1015	89	34			PROPN
cana-1015	89	35	=	=	SYM
cana-1015	89	36	(	(	PUNCT
cana-1015	89	37	8)	8)	NUM
cana-1015	89	38	dc	dc	PROPN
cana-1015	89	39	is	be	AUX
cana-1015	89	40	defined	define	VERB
cana-1015	89	41	as	as	ADP
cana-1015	89	42	(	(	PUNCT
cana-1015	89	43	9	9	NUM
cana-1015	89	44	):	):	PUNCT
cana-1015	89	45	21	21	NUM
cana-1015	89	46	21	21	NUM
cana-1015	89	47	21	21	NUM
cana-1015	89	48	2	2	NUM
cana-1015	89	49	)	)	PUNCT
cana-1015	89	50	,	,	PUNCT
cana-1015	89	51	(	(	PUNCT
cana-1015	89	52	ss	ss	NOUN
cana-1015	89	53	ss	ss	NOUN
cana-1015	89	54	sstcoefficiendice	sstcoefficiendice	NOUN
cana-1015	89	55	+	+	CCONJ
cana-1015	89	56			NOUN
cana-1015	89	57	=	=	SYM
cana-1015	89	58	(	(	PUNCT
cana-1015	89	59	9	9	X
cana-1015	89	60	)	)	PUNCT
cana-1015	89	61	dc	dc	PROPN
cana-1015	89	62	and	and	CCONJ
cana-1015	89	63	jc	jc	PROPN
cana-1015	89	64	values	value	NOUN
cana-1015	89	65	closure	closure	NOUN
cana-1015	89	66	to	to	ADP
cana-1015	89	67	unity	unity	NOUN
cana-1015	89	68	proves	prove	VERB
cana-1015	89	69	the	the	DET
cana-1015	89	70	high	high	ADJ
cana-1015	89	71	efficiency	efficiency	NOUN
cana-1015	89	72	of	of	ADP
cana-1015	89	73	the	the	DET
cana-1015	89	74	model	model	NOUN
cana-1015	89	75	.	.	PUNCT
cana-1015	90	1	the	the	DET
cana-1015	90	2	formula	formula	NOUN
cana-1015	90	3	for	for	ADP
cana-1015	90	4	mse	mse	NOUN
cana-1015	90	5	(	(	PUNCT
cana-1015	90	6	10	10	NUM
cana-1015	90	7	)	)	PUNCT
cana-1015	90	8	,	,	PUNCT
cana-1015	90	9			X
cana-1015	90	10			NOUN
cana-1015	91	1	=	=	NOUN
cana-1015	91	2	−	−	PROPN
cana-1015	91	3			NOUN
cana-1015	91	4	=	=	NOUN
cana-1015	91	5	nm	nm	NOUN
cana-1015	92	1	i	i	PRON
cana-1015	92	2	isis	isis	VERB
cana-1015	92	3	nm	nm	ADV
cana-1015	92	4	mse	mse	NOUN
cana-1015	92	5	1	1	NUM
cana-1015	92	6	2	2	NUM
cana-1015	92	7	21	21	NUM
cana-1015	92	8	.	.	PUNCT
cana-1015	92	9	)	)	PUNCT
cana-1015	93	1	(	(	PUNCT
cana-1015	93	2	)	)	PUNCT
cana-1015	93	3	(	(	PUNCT
cana-1015	93	4	1	1	NUM
cana-1015	93	5	(	(	PUNCT
cana-1015	93	6	10	10	NUM
cana-1015	93	7	)	)	PUNCT
cana-1015	93	8	mse	mse	NOUN
cana-1015	93	9	values	value	NOUN
cana-1015	93	10	close	close	ADJ
cana-1015	93	11	to	to	ADP
cana-1015	93	12	zero	zero	NUM
cana-1015	93	13	indicate	indicate	VERB
cana-1015	93	14	high	high	ADJ
cana-1015	93	15	efficiency	efficiency	NOUN
cana-1015	93	16	,	,	PUNCT
cana-1015	93	17	while	while	SCONJ
cana-1015	93	18	values	value	NOUN
cana-1015	93	19	close	close	ADJ
cana-1015	93	20	to	to	ADP
cana-1015	93	21	unity	unity	NOUN
cana-1015	93	22	indicate	indicate	VERB
cana-1015	93	23	low	low	ADJ
cana-1015	93	24	efficiency	efficiency	NOUN
cana-1015	93	25	.	.	PUNCT
cana-1015	94	1	table-1	table-1	NUM
cana-1015	94	2	jaccard	jaccard	ADJ
cana-1015	94	3	coefficient	coefficient	NOUN
cana-1015	94	4	image	image	NOUN
cana-1015	94	5	sl	sl	VERB
cana-1015	94	6	no	no	DET
cana-1015	94	7	gsf	gsf	PROPN
cana-1015	94	8	gwf	gwf	PROPN
cana-1015	94	9	tsf	tsf	PROPN
cana-1015	94	10	csf	csf	VERB
cana-1015	94	11	otsu	otsu	NOUN
cana-1015	94	12	c	c	PROPN
cana-1015	94	13	-means	-means	PROPN
cana-1015	94	14	berkley	berkley	NOUN
cana-1015	94	15	image	image	NOUN
cana-1015	94	16	dataset	dataset	VERB
cana-1015	94	17	54011	54011	NUM
cana-1015	94	18	0.89	0.89	NUM
cana-1015	94	19	0.92	0.92	NUM
cana-1015	94	20	0.93	0.93	NUM
cana-1015	94	21	0.92	0.92	NUM
cana-1015	94	22	0.51	0.51	NUM
cana-1015	94	23	0.27	0.27	NUM
cana-1015	94	24	16555	16555	NUM
cana-1015	94	25	0.91	0.91	NUM
cana-1015	94	26	0.9	0.9	NUM
cana-1015	94	27	0.91	0.91	NUM
cana-1015	94	28	0.90	0.90	NUM
cana-1015	94	29	0.52	0.52	NUM
cana-1015	94	30	0.54	0.54	NUM
cana-1015	94	31	32651	32651	NUM
cana-1015	94	32	0.89	0.89	NUM
cana-1015	94	33	0.9	0.9	NUM
cana-1015	94	34	0.93	0.93	NUM
cana-1015	94	35	0.91	0.91	NUM
cana-1015	94	36	0.83	0.83	NUM
cana-1015	94	37	0.84	0.84	NUM
cana-1015	94	38	36478	36478	NUM
cana-1015	94	39	0.86	0.86	NUM
cana-1015	94	40	0.91	0.91	NUM
cana-1015	94	41	0.95	0.95	NUM
cana-1015	94	42	0.93	0.93	NUM
cana-1015	94	43	0.62	0.62	NUM
cana-1015	94	44	0.62	0.62	NUM
cana-1015	94	45	45121	45121	NUM
cana-1015	94	46	0.89	0.89	NUM
cana-1015	94	47	0.88	0.88	NUM
cana-1015	94	48	0.91	0.91	NUM
cana-1015	94	49	0.92	0.92	NUM
cana-1015	94	50	0.49	0.49	NUM
cana-1015	94	51	0.47	0.47	NUM
cana-1015	94	52	14563	14563	NUM
cana-1015	94	53	0.87	0.87	NUM
cana-1015	94	54	0.89	0.89	NUM
cana-1015	94	55	0.97	0.97	NUM
cana-1015	94	56	0.96	0.96	NUM
cana-1015	94	57	0.74	0.74	NUM
cana-1015	94	58	0.65	0.65	NUM
cana-1015	94	59	corel	corel	NOUN
cana-1015	94	60	image	image	NOUN
cana-1015	94	61	dataset	dataset	VERB
cana-1015	94	62	11201	11201	NUM
cana-1015	94	63	0.84	0.84	NUM
cana-1015	94	64	0.88	0.88	NUM
cana-1015	94	65	0.96	0.96	NUM
cana-1015	94	66	0.97	0.97	NUM
cana-1015	94	67	0.89	0.89	NUM
cana-1015	94	68	0.81	0.81	NUM
cana-1015	94	69	11224	11224	NUM
cana-1015	95	1	0.86	0.86	NUM
cana-1015	95	2	0.89	0.89	NUM
cana-1015	95	3	0.94	0.94	NUM
cana-1015	95	4	0.95	0.95	NUM
cana-1015	95	5	0.43	0.43	NUM
cana-1015	95	6	0.46	0.46	NUM
cana-1015	95	7	11376	11376	NUM
cana-1015	95	8	0.87	0.87	NUM
cana-1015	95	9	0.84	0.84	NUM
cana-1015	95	10	0.93	0.93	NUM
cana-1015	95	11	0.92	0.92	NUM
cana-1015	95	12	0.9	0.9	NUM
cana-1015	95	13	0.92	0.92	NUM
cana-1015	95	14	12456	12456	NUM
cana-1015	95	15	0.85	0.85	NUM
cana-1015	95	16	0.86	0.86	NUM
cana-1015	95	17	0.94	0.94	NUM
cana-1015	95	18	0.95	0.95	NUM
cana-1015	95	19	0.34	0.34	NUM
cana-1015	95	20	0.63	0.63	NUM
cana-1015	95	21	12785	12785	NUM
cana-1015	95	22	0.91	0.91	NUM
cana-1015	95	23	0.89	0.89	NUM
cana-1015	95	24	0.94	0.94	NUM
cana-1015	95	25	0.95	0.95	NUM
cana-1015	95	26	0.55	0.55	NUM
cana-1015	95	27	0.37	0.37	NUM
cana-1015	95	28	12459	12459	NUM
cana-1015	95	29	0.89	0.89	NUM
cana-1015	95	30	0.87	0.87	NUM
cana-1015	95	31	0.95	0.95	NUM
cana-1015	95	32	0.96	0.96	NUM
cana-1015	95	33	0.34	0.34	NUM
cana-1015	95	34	0.33	0.33	NUM
cana-1015	95	35	communications	communication	NOUN
cana-1015	95	36	on	on	ADP
cana-1015	95	37	applied	apply	VERB
cana-1015	95	38	nonlinear	nonlinear	ADJ
cana-1015	95	39	analysis	analysis	NOUN
cana-1015	95	40	issn	issn	NOUN
cana-1015	95	41	:	:	PUNCT
cana-1015	95	42	1074	1074	NUM
cana-1015	95	43	-	-	PUNCT
cana-1015	95	44	133x	133x	NUM
cana-1015	95	45	vol	vol	NOUN
cana-1015	95	46	31	31	NUM
cana-1015	95	47	no	no	NOUN
cana-1015	95	48	.	.	PUNCT
cana-1015	96	1	5s	5s	NUM
cana-1015	96	2	(	(	PUNCT
cana-1015	96	3	2024	2024	NUM
cana-1015	96	4	)	)	PUNCT
cana-1015	96	5	209	209	NUM
cana-1015	96	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1015	96	7	table-2	table-2	NUM
cana-1015	96	8	dice	dice	NOUN
cana-1015	96	9	coefficient	coefficient	NOUN
cana-1015	96	10	image	image	NOUN
cana-1015	96	11	sl	sl	VERB
cana-1015	96	12	no	no	DET
cana-1015	96	13	gsf	gsf	PROPN
cana-1015	96	14	gwf	gwf	PROPN
cana-1015	96	15	tsf	tsf	PROPN
cana-1015	96	16	csf	csf	VERB
cana-1015	96	17	otsu	otsu	NOUN
cana-1015	96	18	c	c	PROPN
cana-1015	96	19	-means	-means	PROPN
cana-1015	96	20	berkley	berkley	NOUN
cana-1015	96	21	image	image	NOUN
cana-1015	96	22	dataset	dataset	VERB
cana-1015	96	23	54011	54011	NUM
cana-1015	96	24	0.86	0.86	NUM
cana-1015	96	25	0.87	0.87	NUM
cana-1015	96	26	0.82	0.82	NUM
cana-1015	96	27	0.91	0.91	NUM
cana-1015	96	28	0.72	0.72	NUM
cana-1015	96	29	0.19	0.19	NUM
cana-1015	96	30	16555	16555	NUM
cana-1015	96	31	0.85	0.85	NUM
cana-1015	96	32	0.86	0.86	NUM
cana-1015	96	33	0.87	0.87	NUM
cana-1015	96	34	0.91	0.91	NUM
cana-1015	96	35	0.41	0.41	NUM
cana-1015	96	36	0.37	0.37	NUM
cana-1015	96	37	32651	32651	NUM
cana-1015	97	1	0.87	0.87	NUM
cana-1015	97	2	0.91	0.91	NUM
cana-1015	97	3	0.85	0.85	NUM
cana-1015	97	4	0.89	0.89	NUM
cana-1015	97	5	0.31	0.31	NUM
cana-1015	97	6	0.75	0.75	NUM
cana-1015	97	7	36478	36478	NUM
cana-1015	97	8	0.84	0.84	NUM
cana-1015	97	9	0.89	0.89	NUM
cana-1015	97	10	0.83	0.83	NUM
cana-1015	97	11	0.9	0.9	NUM
cana-1015	97	12	0.33	0.33	NUM
cana-1015	97	13	0.58	0.58	NUM
cana-1015	97	14	45121	45121	NUM
cana-1015	97	15	0.84	0.84	NUM
cana-1015	97	16	0.87	0.87	NUM
cana-1015	97	17	0.87	0.87	NUM
cana-1015	97	18	0.91	0.91	NUM
cana-1015	97	19	0.72	0.72	NUM
cana-1015	97	20	0.34	0.34	NUM
cana-1015	97	21	14563	14563	NUM
cana-1015	97	22	0.89	0.89	NUM
cana-1015	97	23	0.88	0.88	NUM
cana-1015	97	24	0.91	0.91	NUM
cana-1015	97	25	0.9	0.9	NUM
cana-1015	97	26	0.41	0.41	NUM
cana-1015	97	27	0.54	0.54	NUM
cana-1015	97	28	corel	corel	NOUN
cana-1015	97	29	image	image	NOUN
cana-1015	97	30	dataset	dataset	VERB
cana-1015	97	31	11201	11201	NUM
cana-1015	97	32	0.81	0.81	NUM
cana-1015	97	33	0.87	0.87	NUM
cana-1015	97	34	0.84	0.84	NUM
cana-1015	97	35	0.9	0.9	NUM
cana-1015	97	36	0.79	0.79	NUM
cana-1015	97	37	0.73	0.73	NUM
cana-1015	97	38	11224	11224	NUM
cana-1015	97	39	0.89	0.89	NUM
cana-1015	97	40	0.91	0.91	NUM
cana-1015	97	41	0.89	0.89	NUM
cana-1015	97	42	0.87	0.87	NUM
cana-1015	97	43	0.31	0.31	NUM
cana-1015	97	44	0.35	0.35	NUM
cana-1015	97	45	11376	11376	NUM
cana-1015	97	46	0.93	0.93	NUM
cana-1015	97	47	0.93	0.93	NUM
cana-1015	97	48	0.87	0.87	NUM
cana-1015	97	49	0.88	0.88	NUM
cana-1015	97	50	0.81	0.81	NUM
cana-1015	97	51	0.87	0.87	NUM
cana-1015	97	52	12456	12456	NUM
cana-1015	97	53	0.92	0.92	NUM
cana-1015	97	54	0.93	0.93	NUM
cana-1015	97	55	0.88	0.88	NUM
cana-1015	97	56	0.91	0.91	NUM
cana-1015	97	57	0.21	0.21	NUM
cana-1015	97	58	0.47	0.47	NUM
cana-1015	97	59	12785	12785	NUM
cana-1015	97	60	0.88	0.88	NUM
cana-1015	97	61	0.93	0.93	NUM
cana-1015	97	62	0.83	0.83	NUM
cana-1015	97	63	0.89	0.89	NUM
cana-1015	97	64	0.39	0.39	NUM
cana-1015	97	65	0.21	0.21	NUM
cana-1015	97	66	12459	12459	NUM
cana-1015	97	67	0.94	0.94	NUM
cana-1015	97	68	0.91	0.91	NUM
cana-1015	97	69	0.89	0.89	NUM
cana-1015	97	70	0.87	0.87	NUM
cana-1015	97	71	0.18	0.18	NUM
cana-1015	97	72	0.22	0.22	NUM
cana-1015	97	73	table-3	table-3	NUM
cana-1015	97	74	mean	mean	NOUN
cana-1015	97	75	square	square	ADJ
cana-1015	97	76	error	error	NOUN
cana-1015	97	77	(	(	PUNCT
cana-1015	97	78	mse	mse	NOUN
cana-1015	97	79	)	)	PUNCT
cana-1015	97	80	image	image	NOUN
cana-1015	98	1	sl	sl	VERB
cana-1015	98	2	no	no	DET
cana-1015	98	3	gsf	gsf	PROPN
cana-1015	98	4	gwf	gwf	PROPN
cana-1015	98	5	tsf	tsf	PROPN
cana-1015	98	6	csf	csf	VERB
cana-1015	98	7	otsu	otsu	NOUN
cana-1015	98	8	c	c	PROPN
cana-1015	98	9	-means	-means	PROPN
cana-1015	98	10	berkley	berkley	NOUN
cana-1015	98	11	image	image	NOUN
cana-1015	98	12	dataset	dataset	VERB
cana-1015	98	13	54011	54011	NUM
cana-1015	98	14	0.06	0.06	NUM
cana-1015	98	15	0.08	0.08	NUM
cana-1015	98	16	0.05	0.05	NUM
cana-1015	98	17	0.03	0.03	NUM
cana-1015	98	18	0.25	0.25	NUM
cana-1015	98	19	0.44	0.44	NUM
cana-1015	98	20	16555	16555	NUM
cana-1015	98	21	0.05	0.05	NUM
cana-1015	98	22	0.09	0.09	NUM
cana-1015	98	23	0.03	0.03	NUM
cana-1015	98	24	0.04	0.04	NUM
cana-1015	98	25	0.16	0.16	NUM
cana-1015	98	26	0.15	0.15	NUM
cana-1015	98	27	32651	32651	NUM
cana-1015	98	28	0.04	0.04	NUM
cana-1015	98	29	0.03	0.03	NUM
cana-1015	98	30	0.03	0.03	NUM
cana-1015	98	31	0.04	0.04	NUM
cana-1015	98	32	0.05	0.05	NUM
cana-1015	98	33	0.12	0.12	NUM
cana-1015	98	34	36478	36478	NUM
cana-1015	98	35	0.03	0.03	NUM
cana-1015	98	36	0.04	0.04	NUM
cana-1015	98	37	0.04	0.04	NUM
cana-1015	98	38	0.05	0.05	NUM
cana-1015	98	39	0.06	0.06	NUM
cana-1015	98	40	0.35	0.35	NUM
cana-1015	98	41	45121	45121	NUM
cana-1015	98	42	0.07	0.07	NUM
cana-1015	98	43	0.08	0.08	NUM
cana-1015	98	44	0.08	0.08	NUM
cana-1015	98	45	0.09	0.09	NUM
cana-1015	98	46	0.19	0.19	NUM
cana-1015	98	47	0.21	0.21	NUM
cana-1015	98	48	14563	14563	NUM
cana-1015	98	49	0.06	0.06	NUM
cana-1015	98	50	0.03	0.03	NUM
cana-1015	98	51	0.05	0.05	NUM
cana-1015	98	52	0.04	0.04	NUM
cana-1015	98	53	0.07	0.07	NUM
cana-1015	98	54	0.12	0.12	NUM
cana-1015	98	55	corel	corel	NOUN
cana-1015	98	56	image	image	NOUN
cana-1015	98	57	dataset	dataset	VERB
cana-1015	98	58	11201	11201	NUM
cana-1015	99	1	0.07	0.07	NUM
cana-1015	99	2	0.08	0.08	NUM
cana-1015	99	3	0.08	0.08	NUM
cana-1015	99	4	0.09	0.09	NUM
cana-1015	99	5	0.19	0.19	NUM
cana-1015	99	6	0.21	0.21	NUM
cana-1015	99	7	11224	11224	NUM
cana-1015	99	8	0.04	0.04	NUM
cana-1015	99	9	0.02	0.02	NUM
cana-1015	99	10	0.05	0.05	NUM
cana-1015	99	11	0.03	0.03	NUM
cana-1015	99	12	0.08	0.08	NUM
cana-1015	99	13	0.08	0.08	NUM
cana-1015	99	14	11376	11376	NUM
cana-1015	99	15	0.03	0.03	NUM
cana-1015	99	16	0.04	0.04	NUM
cana-1015	99	17	0.02	0.02	NUM
cana-1015	99	18	0.03	0.03	NUM
cana-1015	99	19	0.30	0.30	NUM
cana-1015	99	20	0.05	0.05	NUM
cana-1015	99	21	12456	12456	NUM
cana-1015	99	22	0.05	0.05	NUM
cana-1015	99	23	0.07	0.07	NUM
cana-1015	99	24	0.04	0.04	NUM
cana-1015	99	25	0.05	0.05	NUM
cana-1015	99	26	0.12	0.12	NUM
cana-1015	99	27	0.11	0.11	NUM
cana-1015	99	28	12785	12785	NUM
cana-1015	99	29	0.06	0.06	NUM
cana-1015	99	30	0.07	0.07	NUM
cana-1015	99	31	0.07	0.07	NUM
cana-1015	99	32	0.09	0.09	NUM
cana-1015	99	33	0.27	0.27	NUM
cana-1015	99	34	0.48	0.48	NUM
cana-1015	99	35	12459	12459	NUM
cana-1015	99	36	0.03	0.03	NUM
cana-1015	99	37	0.04	0.04	NUM
cana-1015	99	38	0.02	0.02	NUM
cana-1015	99	39	0.03	0.03	NUM
cana-1015	99	40	0.58	0.58	NUM
cana-1015	99	41	0.56	0.56	NUM
cana-1015	99	42	table	table	NOUN
cana-1015	99	43	1	1	NUM
cana-1015	99	44	presents	present	VERB
cana-1015	99	45	the	the	DET
cana-1015	99	46	computed	computed	ADJ
cana-1015	99	47	values	value	NOUN
cana-1015	99	48	for	for	ADP
cana-1015	99	49	the	the	DET
cana-1015	99	50	jaccard	jaccard	ADJ
cana-1015	99	51	coefficient	coefficient	NOUN
cana-1015	99	52	of	of	ADP
cana-1015	99	53	the	the	DET
cana-1015	99	54	segmented	segment	VERB
cana-1015	99	55	pictures	picture	NOUN
cana-1015	99	56	.	.	PUNCT
cana-1015	100	1	the	the	DET
cana-1015	100	2	values	value	NOUN
cana-1015	100	3	of	of	ADP
cana-1015	100	4	otsu	otsu	NOUN
cana-1015	100	5	and	and	CCONJ
cana-1015	100	6	c	c	NOUN
cana-1015	100	7	means	mean	VERB
cana-1015	100	8	in	in	ADP
cana-1015	100	9	table	table	NOUN
cana-1015	100	10	1	1	NUM
cana-1015	100	11	are	be	AUX
cana-1015	100	12	close	close	ADJ
cana-1015	100	13	to	to	ADP
cana-1015	100	14	zero	zero	NUM
cana-1015	100	15	due	due	ADP
cana-1015	100	16	to	to	ADP
cana-1015	100	17	the	the	DET
cana-1015	100	18	algorithms	algorithms	NOUN
cana-1015	100	19	difficulty	difficulty	NOUN
cana-1015	100	20	to	to	PART
cana-1015	100	21	accurately	accurately	ADV
cana-1015	100	22	identify	identify	VERB
cana-1015	100	23	the	the	DET
cana-1015	100	24	region	region	NOUN
cana-1015	100	25	of	of	ADP
cana-1015	100	26	interest	interest	NOUN
cana-1015	100	27	in	in	ADP
cana-1015	100	28	the	the	DET
cana-1015	100	29	given	give	VERB
cana-1015	100	30	images	image	NOUN
cana-1015	100	31	.	.	PUNCT
cana-1015	101	1	this	this	PRON
cana-1015	101	2	indicates	indicate	VERB
cana-1015	101	3	that	that	SCONJ
cana-1015	101	4	these	these	DET
cana-1015	101	5	techniques	technique	NOUN
cana-1015	101	6	are	be	AUX
cana-1015	101	7	not	not	PART
cana-1015	101	8	very	very	ADV
cana-1015	101	9	efficient	efficient	ADJ
cana-1015	101	10	for	for	ADP
cana-1015	101	11	the	the	DET
cana-1015	101	12	selected	select	VERB
cana-1015	101	13	images	image	NOUN
cana-1015	101	14	.	.	PUNCT
cana-1015	102	1	however	however	ADV
cana-1015	102	2	,	,	PUNCT
cana-1015	102	3	the	the	DET
cana-1015	102	4	values	value	NOUN
cana-1015	102	5	of	of	ADP
cana-1015	102	6	the	the	DET
cana-1015	102	7	weight	weight	NOUN
cana-1015	102	8	functions	function	NOUN
cana-1015	102	9	on	on	ADP
cana-1015	102	10	normalised	normalise	VERB
cana-1015	102	11	cut	cut	NOUN
cana-1015	102	12	algorithm	algorithm	NOUN
cana-1015	102	13	are	be	AUX
cana-1015	102	14	nearly	nearly	ADV
cana-1015	102	15	equal	equal	ADJ
cana-1015	102	16	to	to	ADP
cana-1015	102	17	one	one	NUM
cana-1015	102	18	,	,	PUNCT
cana-1015	102	19	indicating	indicate	VERB
cana-1015	102	20	that	that	SCONJ
cana-1015	102	21	the	the	DET
cana-1015	102	22	weight	weight	NOUN
cana-1015	102	23	functions	function	NOUN
cana-1015	102	24	on	on	ADP
cana-1015	102	25	normalised	normalise	VERB
cana-1015	102	26	cut	cut	NOUN
cana-1015	102	27	are	be	AUX
cana-1015	102	28	more	more	ADV
cana-1015	102	29	effective	effective	ADJ
cana-1015	102	30	than	than	ADP
cana-1015	102	31	the	the	DET
cana-1015	102	32	standard	standard	ADJ
cana-1015	102	33	methods	method	NOUN
cana-1015	102	34	for	for	ADP
cana-1015	102	35	all	all	DET
cana-1015	102	36	the	the	DET
cana-1015	102	37	chosen	choose	VERB
cana-1015	102	38	images	image	NOUN
cana-1015	102	39	.	.	PUNCT
cana-1015	103	1	table	table	NOUN
cana-1015	103	2	2	2	NUM
cana-1015	103	3	and	and	CCONJ
cana-1015	103	4	table	table	NOUN
cana-1015	103	5	3	3	NUM
cana-1015	103	6	provide	provide	VERB
cana-1015	103	7	the	the	DET
cana-1015	103	8	dice	dice	NOUN
cana-1015	103	9	communications	communication	NOUN
cana-1015	103	10	on	on	ADP
cana-1015	103	11	applied	apply	VERB
cana-1015	103	12	nonlinear	nonlinear	ADJ
cana-1015	103	13	analysis	analysis	NOUN
cana-1015	103	14	issn	issn	NOUN
cana-1015	103	15	:	:	PUNCT
cana-1015	103	16	1074	1074	NUM
cana-1015	103	17	-	-	PUNCT
cana-1015	103	18	133x	133x	NUM
cana-1015	103	19	vol	vol	NOUN
cana-1015	103	20	31	31	NUM
cana-1015	103	21	no	no	NOUN
cana-1015	103	22	.	.	PUNCT
cana-1015	104	1	5s	5s	NUM
cana-1015	104	2	(	(	PUNCT
cana-1015	104	3	2024	2024	NUM
cana-1015	104	4	)	)	PUNCT
cana-1015	104	5	210	210	NUM
cana-1015	104	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1015	104	7	coefficient	coefficient	NOUN
cana-1015	104	8	and	and	CCONJ
cana-1015	104	9	mean	mean	VERB
cana-1015	104	10	square	square	ADJ
cana-1015	104	11	error	error	NOUN
cana-1015	104	12	(	(	PUNCT
cana-1015	104	13	mse	mse	NOUN
cana-1015	104	14	)	)	PUNCT
cana-1015	104	15	values	value	NOUN
cana-1015	104	16	for	for	ADP
cana-1015	104	17	the	the	DET
cana-1015	104	18	chosen	choose	VERB
cana-1015	104	19	photos	photo	NOUN
cana-1015	104	20	from	from	ADP
cana-1015	104	21	the	the	DET
cana-1015	104	22	berkley	berkley	NOUN
cana-1015	104	23	and	and	CCONJ
cana-1015	104	24	corel	corel	PROPN
cana-1015	104	25	collection	collection	NOUN
cana-1015	104	26	.	.	PUNCT
cana-1015	105	1	the	the	DET
cana-1015	105	2	plot	plot	NOUN
cana-1015	105	3	of	of	ADP
cana-1015	105	4	the	the	DET
cana-1015	105	5	mse	mse	NOUN
cana-1015	105	6	mentioned	mention	VERB
cana-1015	105	7	in	in	ADP
cana-1015	105	8	table	table	NOUN
cana-1015	105	9	3	3	NUM
cana-1015	105	10	is	be	AUX
cana-1015	105	11	given	give	VERB
cana-1015	105	12	in	in	ADP
cana-1015	105	13	figure	figure	NOUN
cana-1015	105	14	4	4	NUM
cana-1015	105	15	.	.	PUNCT
cana-1015	106	1	the	the	DET
cana-1015	106	2	values	value	NOUN
cana-1015	106	3	in	in	ADP
cana-1015	106	4	the	the	DET
cana-1015	106	5	tables	table	NOUN
cana-1015	106	6	demonstrate	demonstrate	VERB
cana-1015	106	7	that	that	SCONJ
cana-1015	106	8	the	the	DET
cana-1015	106	9	four	four	NUM
cana-1015	106	10	-	-	PUNCT
cana-1015	106	11	weight	weight	NOUN
cana-1015	106	12	function	function	NOUN
cana-1015	106	13	-	-	PUNCT
cana-1015	106	14	based	base	VERB
cana-1015	106	15	models	model	NOUN
cana-1015	106	16	outperform	outperform	VERB
cana-1015	106	17	the	the	DET
cana-1015	106	18	standard	standard	ADJ
cana-1015	106	19	techniques	technique	NOUN
cana-1015	106	20	,	,	PUNCT
cana-1015	106	21	otsu	otsu	NOUN
cana-1015	106	22	,	,	PUNCT
cana-1015	106	23	and	and	CCONJ
cana-1015	106	24	c	c	NOUN
cana-1015	106	25	means	mean	NOUN
cana-1015	106	26	,	,	PUNCT
cana-1015	106	27	for	for	ADP
cana-1015	106	28	the	the	DET
cana-1015	106	29	selected	select	VERB
cana-1015	106	30	images	image	NOUN
cana-1015	106	31	from	from	ADP
cana-1015	106	32	the	the	DET
cana-1015	106	33	berkley	berkley	NOUN
cana-1015	106	34	and	and	CCONJ
cana-1015	106	35	corel	corel	PROPN
cana-1015	106	36	image	image	NOUN
cana-1015	106	37	segmentation	segmentation	NOUN
cana-1015	106	38	dataset	dataset	VERB
cana-1015	106	39	.	.	PUNCT
cana-1015	107	1	a	a	DET
cana-1015	107	2	b	b	X
cana-1015	107	3	c	c	X
cana-1015	107	4	d	d	X
cana-1015	107	5	fig.2	fig.2	PROPN
cana-1015	107	6	.	.	PUNCT
cana-1015	107	7	berkley	berkley	PROPN
cana-1015	107	8	image	image	NOUN
cana-1015	107	9	segmentation	segmentation	NOUN
cana-1015	107	10	dataset	dataset	NOUN
cana-1015	107	11	(	(	PUNCT
cana-1015	107	12	a	a	DET
cana-1015	107	13	,	,	PUNCT
cana-1015	107	14	b	b	NOUN
cana-1015	107	15	)	)	PUNCT
cana-1015	107	16	original	original	ADJ
cana-1015	107	17	image	image	NOUN
cana-1015	107	18	and	and	CCONJ
cana-1015	107	19	ground	ground	NOUN
cana-1015	107	20	truth	truth	NOUN
cana-1015	107	21	,	,	PUNCT
cana-1015	107	22	(	(	PUNCT
cana-1015	107	23	c	c	X
cana-1015	107	24	,	,	PUNCT
cana-1015	107	25	d	d	NOUN
cana-1015	107	26	)	)	PUNCT
cana-1015	107	27	otsu	otsu	NOUN
cana-1015	107	28	and	and	CCONJ
cana-1015	107	29	cmeans	cmean	NOUN
cana-1015	107	30	.	.	PUNCT
cana-1015	108	1	a	a	DET
cana-1015	108	2	b	b	X
cana-1015	108	3	c	c	NOUN
cana-1015	108	4	d	d	X
cana-1015	108	5	fig.3	fig.3	PROPN
cana-1015	108	6	.	.	PUNCT
cana-1015	108	7	original	original	ADJ
cana-1015	108	8	picture	picture	NOUN
cana-1015	108	9	,	,	PUNCT
cana-1015	108	10	ground	ground	NOUN
cana-1015	108	11	truth	truth	NOUN
cana-1015	108	12	,	,	PUNCT
cana-1015	108	13	otsu	otsu	NOUN
cana-1015	108	14	,	,	PUNCT
cana-1015	108	15	c	c	NOUN
cana-1015	108	16	-	-	PUNCT
cana-1015	108	17	means	means	NOUN
cana-1015	108	18	(	(	PUNCT
cana-1015	108	19	corel	corel	NOUN
cana-1015	108	20	image	image	NOUN
cana-1015	108	21	segmentation	segmentation	NOUN
cana-1015	108	22	dataset	dataset	NOUN
cana-1015	108	23	)	)	PUNCT
cana-1015	108	24	fig.4	fig.4	PROPN
cana-1015	108	25	.	.	PUNCT
cana-1015	108	26	mse	mse	PROPN
cana-1015	108	27	plot	plot	NOUN
cana-1015	108	28	for	for	ADP
cana-1015	108	29	different	different	ADJ
cana-1015	108	30	models	model	NOUN
cana-1015	108	31	0	0	NUM
cana-1015	108	32	0.1	0.1	NUM
cana-1015	108	33	0.2	0.2	NUM
cana-1015	108	34	0.3	0.3	NUM
cana-1015	108	35	0.4	0.4	NUM
cana-1015	108	36	0.5	0.5	NUM
cana-1015	108	37	0.6	0.6	NUM
cana-1015	108	38	0.7	0.7	NUM
cana-1015	108	39	1	1	NUM
cana-1015	108	40	2	2	NUM
cana-1015	108	41	3	3	NUM
cana-1015	108	42	4	4	NUM
cana-1015	108	43	5	5	NUM
cana-1015	108	44	6	6	NUM
cana-1015	108	45	7	7	NUM
cana-1015	108	46	8	8	NUM
cana-1015	108	47	9	9	NUM
cana-1015	108	48	1	1	NUM
cana-1015	108	49	0	0	NUM
cana-1015	108	50	1	1	NUM
cana-1015	108	51	1	1	NUM
cana-1015	108	52	1	1	NUM
cana-1015	108	53	2	2	NUM
cana-1015	108	54	m	m	PROPN
cana-1015	108	55	se	se	PROPN
cana-1015	108	56	gsf	gsf	PROPN
cana-1015	108	57	gwf	gwf	PROPN
cana-1015	108	58	tsf	tsf	PROPN
cana-1015	108	59	csf	csf	VERB
cana-1015	108	60	otsu	otsu	NOUN
cana-1015	108	61	c	c	NOUN
cana-1015	108	62	-	-	PUNCT
cana-1015	108	63	means	mean	VERB
cana-1015	108	64	communications	communication	NOUN
cana-1015	108	65	on	on	ADP
cana-1015	108	66	applied	apply	VERB
cana-1015	108	67	nonlinear	nonlinear	ADJ
cana-1015	108	68	analysis	analysis	NOUN
cana-1015	108	69	issn	issn	NOUN
cana-1015	108	70	:	:	PUNCT
cana-1015	108	71	1074	1074	NUM
cana-1015	108	72	-	-	PUNCT
cana-1015	108	73	133x	133x	NUM
cana-1015	108	74	vol	vol	NOUN
cana-1015	108	75	31	31	NUM
cana-1015	108	76	no	no	NOUN
cana-1015	108	77	.	.	PUNCT
cana-1015	109	1	5s	5s	NUM
cana-1015	109	2	(	(	PUNCT
cana-1015	109	3	2024	2024	NUM
cana-1015	109	4	)	)	PUNCT
cana-1015	109	5	211	211	NUM
cana-1015	109	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1015	109	7	the	the	DET
cana-1015	109	8	main	main	ADJ
cana-1015	109	9	goal	goal	NOUN
cana-1015	109	10	of	of	ADP
cana-1015	109	11	this	this	DET
cana-1015	109	12	work	work	NOUN
cana-1015	109	13	was	be	AUX
cana-1015	109	14	to	to	PART
cana-1015	109	15	combine	combine	VERB
cana-1015	109	16	the	the	DET
cana-1015	109	17	different	different	ADJ
cana-1015	109	18	methods	method	NOUN
cana-1015	109	19	and	and	CCONJ
cana-1015	109	20	improve	improve	VERB
cana-1015	109	21	weight	weight	NOUN
cana-1015	109	22	functions	function	NOUN
cana-1015	109	23	in	in	ADP
cana-1015	109	24	the	the	DET
cana-1015	109	25	context	context	NOUN
cana-1015	109	26	of	of	ADP
cana-1015	109	27	the	the	DET
cana-1015	109	28	normalized	normalize	VERB
cana-1015	109	29	cut	cut	NOUN
cana-1015	109	30	(	(	PUNCT
cana-1015	109	31	ncut	ncut	ADJ
cana-1015	109	32	)	)	PUNCT
cana-1015	109	33	technique	technique	NOUN
cana-1015	109	34	for	for	ADP
cana-1015	109	35	picture	picture	NOUN
cana-1015	109	36	segmentation	segmentation	NOUN
cana-1015	109	37	.	.	PUNCT
cana-1015	110	1	the	the	DET
cana-1015	110	2	investigation	investigation	NOUN
cana-1015	110	3	encompassed	encompass	VERB
cana-1015	110	4	four	four	NUM
cana-1015	110	5	weight	weight	NOUN
cana-1015	110	6	functions	function	NOUN
cana-1015	110	7	:	:	PUNCT
cana-1015	110	8	gaussian	gaussian	ADJ
cana-1015	110	9	,	,	PUNCT
cana-1015	110	10	gradient	gradient	NOUN
cana-1015	110	11	-	-	PUNCT
cana-1015	110	12	based	base	VERB
cana-1015	110	13	,	,	PUNCT
cana-1015	110	14	texture	texture	ADJ
cana-1015	110	15	similarity	similarity	NOUN
cana-1015	110	16	function	function	NOUN
cana-1015	110	17	,	,	PUNCT
cana-1015	110	18	and	and	CCONJ
cana-1015	110	19	combined	combined	ADJ
cana-1015	110	20	feature	feature	NOUN
cana-1015	110	21	similarity	similarity	NOUN
cana-1015	110	22	functions	function	NOUN
cana-1015	110	23	.	.	PUNCT
cana-1015	111	1	each	each	DET
cana-1015	111	2	weight	weight	NOUN
cana-1015	111	3	function	function	NOUN
cana-1015	111	4	was	be	AUX
cana-1015	111	5	designed	design	VERB
cana-1015	111	6	to	to	PART
cana-1015	111	7	improve	improve	VERB
cana-1015	111	8	the	the	DET
cana-1015	111	9	quality	quality	NOUN
cana-1015	111	10	of	of	ADP
cana-1015	111	11	segmentation	segmentation	NOUN
cana-1015	111	12	by	by	ADP
cana-1015	111	13	adjusting	adjust	VERB
cana-1015	111	14	to	to	ADP
cana-1015	111	15	specific	specific	ADJ
cana-1015	111	16	image	image	NOUN
cana-1015	111	17	characteristics	characteristic	NOUN
cana-1015	111	18	,	,	PUNCT
cana-1015	111	19	including	include	VERB
cana-1015	111	20	texture	texture	NOUN
cana-1015	111	21	,	,	PUNCT
cana-1015	111	22	color	color	NOUN
cana-1015	111	23	,	,	PUNCT
cana-1015	111	24	and	and	CCONJ
cana-1015	111	25	spatial	spatial	ADJ
cana-1015	111	26	relationships	relationship	NOUN
cana-1015	111	27	.	.	PUNCT
cana-1015	112	1	a	a	DET
cana-1015	112	2	key	key	ADJ
cana-1015	112	3	finding	finding	NOUN
cana-1015	112	4	of	of	ADP
cana-1015	112	5	this	this	DET
cana-1015	112	6	work	work	NOUN
cana-1015	112	7	is	be	AUX
cana-1015	112	8	that	that	SCONJ
cana-1015	112	9	gradient	gradient	NOUN
cana-1015	112	10	-	-	PUNCT
cana-1015	112	11	based	base	VERB
cana-1015	112	12	weight	weight	NOUN
cana-1015	112	13	functions	function	NOUN
cana-1015	112	14	improve	improve	VERB
cana-1015	112	15	ncut	ncut	VERB
cana-1015	112	16	edge	edge	NOUN
cana-1015	112	17	identification	identification	NOUN
cana-1015	112	18	.	.	PUNCT
cana-1015	113	1	by	by	ADP
cana-1015	113	2	directly	directly	ADV
cana-1015	113	3	adding	add	VERB
cana-1015	113	4	gradient	gradient	ADJ
cana-1015	113	5	information	information	NOUN
cana-1015	113	6	into	into	ADP
cana-1015	113	7	weight	weight	NOUN
cana-1015	113	8	calculation	calculation	NOUN
cana-1015	113	9	,	,	PUNCT
cana-1015	113	10	these	these	DET
cana-1015	113	11	methods	method	NOUN
cana-1015	113	12	improve	improve	VERB
cana-1015	113	13	picture	picture	NOUN
cana-1015	113	14	boundary	boundary	ADJ
cana-1015	113	15	and	and	CCONJ
cana-1015	113	16	texture	texture	ADJ
cana-1015	113	17	detection	detection	NOUN
cana-1015	113	18	.	.	PUNCT
cana-1015	114	1	gradient	gradient	NOUN
cana-1015	114	2	-	-	PUNCT
cana-1015	114	3	based	base	VERB
cana-1015	114	4	functions	function	NOUN
cana-1015	114	5	perform	perform	VERB
cana-1015	114	6	best	good	ADJ
cana-1015	114	7	in	in	ADP
cana-1015	114	8	images	image	NOUN
cana-1015	114	9	with	with	ADP
cana-1015	114	10	welldefined	welldefine	VERB
cana-1015	114	11	edges	edge	NOUN
cana-1015	114	12	,	,	PUNCT
cana-1015	114	13	but	but	CCONJ
cana-1015	114	14	they	they	PRON
cana-1015	114	15	may	may	AUX
cana-1015	114	16	struggle	struggle	VERB
cana-1015	114	17	in	in	ADP
cana-1015	114	18	images	image	NOUN
cana-1015	114	19	with	with	ADP
cana-1015	114	20	less	less	ADV
cana-1015	114	21	defined	define	VERB
cana-1015	114	22	edges	edge	NOUN
cana-1015	114	23	or	or	CCONJ
cana-1015	114	24	when	when	SCONJ
cana-1015	114	25	texture	texture	NOUN
cana-1015	114	26	and	and	CCONJ
cana-1015	114	27	color	color	NOUN
cana-1015	114	28	dominate	dominate	NOUN
cana-1015	114	29	.	.	PUNCT
cana-1015	115	1	5	5	X
cana-1015	115	2	.	.	X
cana-1015	115	3	conclusion	conclusion	NOUN
cana-1015	115	4	this	this	DET
cana-1015	115	5	work	work	NOUN
cana-1015	115	6	has	have	AUX
cana-1015	115	7	presented	present	VERB
cana-1015	115	8	a	a	DET
cana-1015	115	9	thorough	thorough	ADJ
cana-1015	115	10	examination	examination	NOUN
cana-1015	115	11	of	of	ADP
cana-1015	115	12	the	the	DET
cana-1015	115	13	techniques	technique	NOUN
cana-1015	115	14	and	and	CCONJ
cana-1015	115	15	progress	progress	NOUN
cana-1015	115	16	made	make	VERB
cana-1015	115	17	in	in	ADP
cana-1015	115	18	enhancing	enhance	VERB
cana-1015	115	19	weight	weight	NOUN
cana-1015	115	20	functions	function	NOUN
cana-1015	115	21	for	for	ADP
cana-1015	115	22	the	the	DET
cana-1015	115	23	normalized	normalize	VERB
cana-1015	115	24	cut	cut	NOUN
cana-1015	115	25	(	(	PUNCT
cana-1015	115	26	ncut	ncut	ADJ
cana-1015	115	27	)	)	PUNCT
cana-1015	115	28	method	method	NOUN
cana-1015	115	29	,	,	PUNCT
cana-1015	115	30	a	a	DET
cana-1015	115	31	crucial	crucial	ADJ
cana-1015	115	32	approach	approach	NOUN
cana-1015	115	33	in	in	ADP
cana-1015	115	34	the	the	DET
cana-1015	115	35	domain	domain	NOUN
cana-1015	115	36	of	of	ADP
cana-1015	115	37	image	image	NOUN
cana-1015	115	38	segmentation	segmentation	NOUN
cana-1015	115	39	.	.	PUNCT
cana-1015	116	1	the	the	DET
cana-1015	116	2	investigation	investigation	NOUN
cana-1015	116	3	demonstrates	demonstrate	VERB
cana-1015	116	4	that	that	SCONJ
cana-1015	116	5	the	the	DET
cana-1015	116	6	efficacy	efficacy	NOUN
cana-1015	116	7	of	of	ADP
cana-1015	116	8	the	the	DET
cana-1015	116	9	ncut	ncut	ADJ
cana-1015	116	10	technique	technique	NOUN
cana-1015	116	11	in	in	ADP
cana-1015	116	12	picture	picture	NOUN
cana-1015	116	13	segmentation	segmentation	NOUN
cana-1015	116	14	is	be	AUX
cana-1015	116	15	significantly	significantly	ADV
cana-1015	116	16	impacted	impact	VERB
cana-1015	116	17	by	by	ADP
cana-1015	116	18	the	the	DET
cana-1015	116	19	selection	selection	NOUN
cana-1015	116	20	and	and	CCONJ
cana-1015	116	21	optimization	optimization	NOUN
cana-1015	116	22	of	of	ADP
cana-1015	116	23	weight	weight	NOUN
cana-1015	116	24	functions	function	NOUN
cana-1015	116	25	.	.	PUNCT
cana-1015	117	1	conventional	conventional	ADJ
cana-1015	117	2	weight	weight	NOUN
cana-1015	117	3	functions	function	NOUN
cana-1015	117	4	that	that	PRON
cana-1015	117	5	are	be	AUX
cana-1015	117	6	designed	design	VERB
cana-1015	117	7	to	to	PART
cana-1015	117	8	work	work	VERB
cana-1015	117	9	for	for	ADP
cana-1015	117	10	all	all	DET
cana-1015	117	11	images	image	NOUN
cana-1015	117	12	are	be	AUX
cana-1015	117	13	being	be	AUX
cana-1015	117	14	replaced	replace	VERB
cana-1015	117	15	by	by	ADP
cana-1015	117	16	advanced	advanced	ADJ
cana-1015	117	17	,	,	PUNCT
cana-1015	117	18	adaptive	adaptive	ADJ
cana-1015	117	19	techniques	technique	NOUN
cana-1015	117	20	.	.	PUNCT
cana-1015	118	1	these	these	DET
cana-1015	118	2	strategies	strategy	NOUN
cana-1015	118	3	can	can	AUX
cana-1015	118	4	dynamically	dynamically	ADV
cana-1015	118	5	adapt	adapt	VERB
cana-1015	118	6	to	to	ADP
cana-1015	118	7	the	the	DET
cana-1015	118	8	specific	specific	ADJ
cana-1015	118	9	characteristics	characteristic	NOUN
cana-1015	118	10	of	of	ADP
cana-1015	118	11	each	each	DET
cana-1015	118	12	image	image	NOUN
cana-1015	118	13	,	,	PUNCT
cana-1015	118	14	resulting	result	VERB
cana-1015	118	15	in	in	ADP
cana-1015	118	16	improved	improved	ADJ
cana-1015	118	17	accuracy	accuracy	NOUN
cana-1015	118	18	and	and	CCONJ
cana-1015	118	19	efficiency	efficiency	NOUN
cana-1015	118	20	in	in	ADP
cana-1015	118	21	image	image	NOUN
cana-1015	118	22	segmentation	segmentation	NOUN
cana-1015	118	23	.	.	PUNCT
cana-1015	119	1	the	the	DET
cana-1015	119	2	optimization	optimization	NOUN
cana-1015	119	3	of	of	ADP
cana-1015	119	4	weight	weight	NOUN
cana-1015	119	5	functions	function	NOUN
cana-1015	119	6	for	for	ADP
cana-1015	119	7	the	the	DET
cana-1015	119	8	normalized	normalize	VERB
cana-1015	119	9	cut	cut	NOUN
cana-1015	119	10	method	method	NOUN
cana-1015	119	11	is	be	AUX
cana-1015	119	12	a	a	DET
cana-1015	119	13	dynamic	dynamic	ADJ
cana-1015	119	14	and	and	CCONJ
cana-1015	119	15	expanding	expand	VERB
cana-1015	119	16	area	area	NOUN
cana-1015	119	17	of	of	ADP
cana-1015	119	18	research	research	NOUN
cana-1015	119	19	that	that	PRON
cana-1015	119	20	is	be	AUX
cana-1015	119	21	essential	essential	ADJ
cana-1015	119	22	for	for	ADP
cana-1015	119	23	the	the	DET
cana-1015	119	24	advancement	advancement	NOUN
cana-1015	119	25	of	of	ADP
cana-1015	119	26	picture	picture	NOUN
cana-1015	119	27	segmentation	segmentation	NOUN
cana-1015	119	28	technology	technology	NOUN
cana-1015	119	29	.	.	PUNCT
cana-1015	120	1	the	the	DET
cana-1015	120	2	current	current	ADJ
cana-1015	120	3	progress	progress	NOUN
cana-1015	120	4	sets	set	VERB
cana-1015	120	5	the	the	DET
cana-1015	120	6	stage	stage	NOUN
cana-1015	120	7	for	for	ADP
cana-1015	120	8	future	future	ADJ
cana-1015	120	9	advancements	advancement	NOUN
cana-1015	120	10	,	,	PUNCT
cana-1015	120	11	which	which	PRON
cana-1015	120	12	have	have	VERB
cana-1015	120	13	the	the	DET
cana-1015	120	14	potential	potential	NOUN
cana-1015	120	15	to	to	PART
cana-1015	120	16	unlock	unlock	VERB
cana-1015	120	17	new	new	ADJ
cana-1015	120	18	possibilities	possibility	NOUN
cana-1015	120	19	in	in	ADP
cana-1015	120	20	a	a	DET
cana-1015	120	21	range	range	NOUN
cana-1015	120	22	of	of	ADP
cana-1015	120	23	fields	field	NOUN
cana-1015	120	24	,	,	PUNCT
cana-1015	120	25	including	include	VERB
cana-1015	120	26	medical	medical	ADJ
cana-1015	120	27	diagnostics	diagnostic	NOUN
cana-1015	120	28	and	and	CCONJ
cana-1015	120	29	autonomous	autonomous	ADJ
cana-1015	120	30	car	car	NOUN
cana-1015	120	31	navigation	navigation	NOUN
cana-1015	120	32	.	.	PUNCT
cana-1015	121	1	references	reference	NOUN
cana-1015	121	2	[	[	X
cana-1015	121	3	1	1	NUM
cana-1015	121	4	]	]	X
cana-1015	121	5	comaniciu	comaniciu	PROPN
cana-1015	121	6	,	,	PUNCT
cana-1015	121	7	d.	d.	PROPN
cana-1015	121	8	,	,	PUNCT
cana-1015	121	9	&	&	CCONJ
cana-1015	121	10	meer	meer	PROPN
cana-1015	121	11	,	,	PUNCT
cana-1015	121	12	p.	p.	NOUN
cana-1015	121	13	(	(	PUNCT
cana-1015	121	14	2002	2002	NUM
cana-1015	121	15	)	)	PUNCT
cana-1015	121	16	.	.	PUNCT
cana-1015	122	1	mean	mean	ADJ
cana-1015	122	2	shift	shift	NOUN
cana-1015	122	3	:	:	PUNCT
cana-1015	122	4	a	a	DET
cana-1015	122	5	robust	robust	ADJ
cana-1015	122	6	approach	approach	NOUN
cana-1015	122	7	toward	toward	ADP
cana-1015	122	8	feature	feature	NOUN
cana-1015	122	9	space	space	NOUN
cana-1015	122	10	analysis	analysis	NOUN
cana-1015	122	11	.	.	PUNCT
cana-1015	123	1	ieee	ieee	NOUN
cana-1015	123	2	transactions	transaction	NOUN
cana-1015	123	3	on	on	ADP
cana-1015	123	4	pattern	pattern	NOUN
cana-1015	123	5	analysis	analysis	NOUN
cana-1015	123	6	and	and	CCONJ
cana-1015	123	7	machine	machine	NOUN
cana-1015	123	8	intelligence	intelligence	NOUN
cana-1015	123	9	,	,	PUNCT
cana-1015	123	10	24(5	24(5	NOUN
cana-1015	123	11	)	)	PUNCT
cana-1015	123	12	,	,	PUNCT
cana-1015	123	13	603	603	NUM
cana-1015	123	14	-	-	SYM
cana-1015	123	15	619	619	NUM
cana-1015	123	16	.	.	PUNCT
cana-1015	124	1	[	[	X
cana-1015	124	2	2	2	NUM
cana-1015	124	3	]	]	X
cana-1015	124	4	haralick	haralick	NOUN
cana-1015	124	5	,	,	PUNCT
cana-1015	124	6	r.	r.	PROPN
cana-1015	124	7	m.	m.	PROPN
cana-1015	124	8	,	,	PUNCT
cana-1015	124	9	shanmugam	shanmugam	PROPN
cana-1015	124	10	,	,	PUNCT
cana-1015	124	11	k.	k.	PROPN
cana-1015	124	12	,	,	PUNCT
cana-1015	124	13	&	&	CCONJ
cana-1015	124	14	dinstein	dinstein	PROPN
cana-1015	124	15	,	,	PUNCT
cana-1015	124	16	i.	i.	PROPN
cana-1015	124	17	(	(	PUNCT
cana-1015	124	18	1973	1973	NUM
cana-1015	124	19	)	)	PUNCT
cana-1015	124	20	.	.	PUNCT
cana-1015	125	1	textural	textural	ADJ
cana-1015	125	2	features	feature	NOUN
cana-1015	125	3	for	for	ADP
cana-1015	125	4	image	image	NOUN
cana-1015	125	5	classification	classification	NOUN
cana-1015	125	6	.	.	PUNCT
cana-1015	126	1	ieee	ieee	NOUN
cana-1015	126	2	transactions	transaction	NOUN
cana-1015	126	3	on	on	ADP
cana-1015	126	4	systems	system	NOUN
cana-1015	126	5	,	,	PUNCT
cana-1015	126	6	man	man	NOUN
cana-1015	126	7	,	,	PUNCT
cana-1015	126	8	and	and	CCONJ
cana-1015	126	9	cybernetics	cybernetic	NOUN
cana-1015	126	10	,	,	PUNCT
cana-1015	126	11	3(6	3(6	NUM
cana-1015	126	12	)	)	PUNCT
cana-1015	126	13	,	,	PUNCT
cana-1015	126	14	610	610	NUM
cana-1015	126	15	-	-	SYM
cana-1015	126	16	621	621	NUM
cana-1015	126	17	.	.	PUNCT
cana-1015	127	1	[	[	X
cana-1015	127	2	3	3	NUM
cana-1015	127	3	]	]	X
cana-1015	127	4	wang	wang	PROPN
cana-1015	127	5	,	,	PUNCT
cana-1015	127	6	f.	f.	PROPN
cana-1015	127	7	,	,	PUNCT
cana-1015	127	8	zhao	zhao	PROPN
cana-1015	127	9	,	,	PUNCT
cana-1015	127	10	c.	c.	PROPN
cana-1015	127	11	,	,	PUNCT
cana-1015	127	12	liu	liu	PROPN
cana-1015	127	13	,	,	PUNCT
cana-1015	127	14	j.	j.	PROPN
cana-1015	127	15	,	,	PUNCT
cana-1015	127	16	&	&	CCONJ
cana-1015	127	17	huang	huang	PROPN
cana-1015	127	18	,	,	PUNCT
cana-1015	127	19	h.	h.	PROPN
cana-1015	127	20	(	(	PUNCT
cana-1015	127	21	2020	2020	NUM
cana-1015	127	22	)	)	PUNCT
cana-1015	127	23	.	.	PUNCT
cana-1015	128	1	a	a	DET
cana-1015	128	2	variational	variational	ADJ
cana-1015	128	3	image	image	NOUN
cana-1015	128	4	segmentation	segmentation	NOUN
cana-1015	128	5	model	model	NOUN
cana-1015	128	6	based	base	VERB
cana-1015	128	7	on	on	ADP
cana-1015	128	8	normalized	normalize	VERB
cana-1015	128	9	cut	cut	VERB
cana-1015	128	10	with	with	ADP
cana-1015	128	11	adaptive	adaptive	ADJ
cana-1015	128	12	similarity	similarity	NOUN
cana-1015	128	13	and	and	CCONJ
cana-1015	128	14	spatial	spatial	ADJ
cana-1015	128	15	regularization	regularization	NOUN
cana-1015	128	16	.	.	PUNCT
cana-1015	129	1	siam	siam	PROPN
cana-1015	129	2	journal	journal	PROPN
cana-1015	129	3	on	on	ADP
cana-1015	129	4	imaging	imaging	NOUN
cana-1015	129	5	sciences	science	NOUN
cana-1015	129	6	,	,	PUNCT
cana-1015	129	7	13(2	13(2	PROPN
cana-1015	129	8	)	)	PUNCT
cana-1015	129	9	,	,	PUNCT
cana-1015	129	10	651	651	NUM
cana-1015	129	11	-	-	SYM
cana-1015	129	12	684	684	NUM
cana-1015	129	13	.	.	PUNCT
cana-1015	130	1	[	[	X
cana-1015	130	2	4	4	NUM
cana-1015	130	3	]	]	X
cana-1015	130	4	ojala	ojala	X
cana-1015	130	5	,	,	PUNCT
cana-1015	130	6	t.	t.	PROPN
cana-1015	130	7	,	,	PUNCT
cana-1015	130	8	pietikäinen	pietikäinen	NOUN
cana-1015	130	9	,	,	PUNCT
cana-1015	130	10	m.	m.	NOUN
cana-1015	130	11	,	,	PUNCT
cana-1015	130	12	&	&	CCONJ
cana-1015	130	13	mäenpää	mäenpää	ADJ
cana-1015	130	14	,	,	PUNCT
cana-1015	130	15	t.	t.	PROPN
cana-1015	130	16	(	(	PUNCT
cana-1015	130	17	2002	2002	NUM
cana-1015	130	18	)	)	PUNCT
cana-1015	130	19	.	.	PUNCT
cana-1015	131	1	multiresolution	multiresolution	NOUN
cana-1015	131	2	gray	gray	ADJ
cana-1015	131	3	-	-	PUNCT
cana-1015	131	4	scale	scale	NOUN
cana-1015	131	5	and	and	CCONJ
cana-1015	131	6	rotation	rotation	NOUN
cana-1015	131	7	invariant	invariant	ADJ
cana-1015	131	8	texture	texture	NOUN
cana-1015	131	9	classification	classification	NOUN
cana-1015	131	10	with	with	ADP
cana-1015	131	11	local	local	ADJ
cana-1015	131	12	binary	binary	ADJ
cana-1015	131	13	patterns	pattern	NOUN
cana-1015	131	14	.	.	PUNCT
cana-1015	132	1	ieee	ieee	NOUN
cana-1015	132	2	transactions	transaction	NOUN
cana-1015	132	3	on	on	ADP
cana-1015	132	4	pattern	pattern	NOUN
cana-1015	132	5	analysis	analysis	NOUN
cana-1015	132	6	and	and	CCONJ
cana-1015	132	7	machine	machine	NOUN
cana-1015	132	8	intelligence	intelligence	NOUN
cana-1015	132	9	,	,	PUNCT
cana-1015	132	10	24(7	24(7	NUM
cana-1015	132	11	)	)	PUNCT
cana-1015	132	12	,	,	PUNCT
cana-1015	132	13	971	971	NUM
cana-1015	132	14	-	-	SYM
cana-1015	132	15	987	987	NUM
cana-1015	132	16	.	.	PUNCT
cana-1015	133	1	[	[	X
cana-1015	133	2	5	5	NUM
cana-1015	133	3	]	]	X
cana-1015	133	4	shi	shi	PROPN
cana-1015	133	5	,	,	PUNCT
cana-1015	133	6	j.	j.	PROPN
cana-1015	133	7	,	,	PUNCT
cana-1015	133	8	&	&	CCONJ
cana-1015	133	9	malik	malik	PROPN
cana-1015	133	10	,	,	PUNCT
cana-1015	133	11	j.	j.	PROPN
cana-1015	133	12	(	(	PUNCT
cana-1015	133	13	2000	2000	NUM
cana-1015	133	14	)	)	PUNCT
cana-1015	133	15	.	.	PUNCT
cana-1015	133	16	normalized	normalize	VERB
cana-1015	133	17	cuts	cut	NOUN
cana-1015	133	18	and	and	CCONJ
cana-1015	133	19	image	image	NOUN
cana-1015	133	20	segmentation	segmentation	NOUN
cana-1015	133	21	.	.	PUNCT
cana-1015	134	1	ieee	ieee	NOUN
cana-1015	134	2	transactions	transaction	NOUN
cana-1015	134	3	on	on	ADP
cana-1015	134	4	pattern	pattern	NOUN
cana-1015	134	5	analysis	analysis	NOUN
cana-1015	134	6	and	and	CCONJ
cana-1015	134	7	machine	machine	NOUN
cana-1015	134	8	intelligence	intelligence	NOUN
cana-1015	134	9	,	,	PUNCT
cana-1015	134	10	22(8	22(8	NUM
cana-1015	134	11	)	)	PUNCT
cana-1015	134	12	,	,	PUNCT
cana-1015	134	13	888	888	NUM
cana-1015	134	14	-	-	SYM
cana-1015	134	15	905	905	NUM
cana-1015	134	16	.	.	PUNCT
cana-1015	135	1	[	[	X
cana-1015	135	2	6	6	NUM
cana-1015	135	3	]	]	X
cana-1015	135	4	wang	wang	PROPN
cana-1015	135	5	,	,	PUNCT
cana-1015	135	6	j.	j.	PROPN
cana-1015	135	7	z.	z.	PROPN
cana-1015	135	8	,	,	PUNCT
cana-1015	135	9	&	&	CCONJ
cana-1015	135	10	siskind	siskind	PROPN
cana-1015	135	11	,	,	PUNCT
cana-1015	135	12	j.	j.	PROPN
cana-1015	135	13	m.	m.	PROPN
cana-1015	135	14	(	(	PUNCT
cana-1015	135	15	2003	2003	NUM
cana-1015	135	16	)	)	PUNCT
cana-1015	135	17	.	.	PUNCT
cana-1015	136	1	image	image	NOUN
cana-1015	136	2	segmentation	segmentation	NOUN
cana-1015	136	3	with	with	ADP
cana-1015	136	4	ratio	ratio	NOUN
cana-1015	136	5	cut	cut	VERB
cana-1015	136	6	.	.	PUNCT
cana-1015	137	1	ieee	ieee	NOUN
cana-1015	137	2	transactions	transaction	NOUN
cana-1015	137	3	on	on	ADP
cana-1015	137	4	pattern	pattern	NOUN
cana-1015	137	5	analysis	analysis	NOUN
cana-1015	137	6	and	and	CCONJ
cana-1015	137	7	machine	machine	NOUN
cana-1015	137	8	intelligence	intelligence	NOUN
cana-1015	137	9	,	,	PUNCT
cana-1015	137	10	25(6	25(6	NOUN
cana-1015	137	11	)	)	PUNCT
cana-1015	137	12	,	,	PUNCT
cana-1015	137	13	675	675	NUM
cana-1015	137	14	-	-	SYM
cana-1015	137	15	690	690	NUM
cana-1015	137	16	.	.	PUNCT
cana-1015	138	1	[	[	X
cana-1015	138	2	7	7	NUM
cana-1015	138	3	]	]	X
cana-1015	138	4	muda	muda	NOUN
cana-1015	138	5	,	,	PUNCT
cana-1015	138	6	t.	t.	PROPN
cana-1015	138	7	z.	z.	PROPN
cana-1015	138	8	t.	t.	PROPN
cana-1015	138	9	,	,	PUNCT
cana-1015	138	10	&	&	CCONJ
cana-1015	138	11	salam	salam	PROPN
cana-1015	138	12	,	,	PUNCT
cana-1015	138	13	r.	r.	PROPN
cana-1015	138	14	a.	a.	PROPN
cana-1015	138	15	(	(	PUNCT
cana-1015	138	16	2011	2011	NUM
cana-1015	138	17	,	,	PUNCT
cana-1015	138	18	november	november	PROPN
cana-1015	138	19	)	)	PUNCT
cana-1015	138	20	.	.	PUNCT
cana-1015	139	1	blood	blood	NOUN
cana-1015	139	2	cell	cell	NOUN
cana-1015	139	3	image	image	NOUN
cana-1015	139	4	segmentation	segmentation	NOUN
cana-1015	139	5	using	use	VERB
cana-1015	139	6	hybrid	hybrid	ADJ
cana-1015	139	7	k	k	NOUN
cana-1015	139	8	-	-	PUNCT
cana-1015	139	9	means	mean	NOUN
cana-1015	139	10	and	and	CCONJ
cana-1015	139	11	median	median	ADJ
cana-1015	139	12	-	-	PUNCT
cana-1015	139	13	cut	cut	VERB
cana-1015	139	14	algorithms	algorithm	NOUN
cana-1015	139	15	.	.	PUNCT
cana-1015	140	1	in	in	ADP
cana-1015	140	2	2011	2011	NUM
cana-1015	140	3	ieee	ieee	PROPN
cana-1015	140	4	international	international	ADJ
cana-1015	140	5	conference	conference	NOUN
cana-1015	140	6	on	on	ADP
cana-1015	140	7	control	control	NOUN
cana-1015	140	8	system	system	NOUN
cana-1015	140	9	,	,	PUNCT
cana-1015	140	10	computing	computing	NOUN
cana-1015	140	11	and	and	CCONJ
cana-1015	140	12	engineering	engineering	NOUN
cana-1015	140	13	,	,	PUNCT
cana-1015	140	14	pp	pp	ADJ
cana-1015	140	15	.	.	PUNCT
cana-1015	141	1	237	237	NUM
cana-1015	141	2	-	-	SYM
cana-1015	141	3	243	243	NUM
cana-1015	141	4	.	.	PUNCT
cana-1015	142	1	[	[	X
cana-1015	142	2	8	8	NUM
cana-1015	142	3	]	]	X
cana-1015	142	4	felzenszwalb	felzenszwalb	NOUN
cana-1015	142	5	,	,	PUNCT
cana-1015	142	6	p.	p.	PROPN
cana-1015	142	7	f.	f.	PROPN
cana-1015	142	8	,	,	PUNCT
cana-1015	142	9	&	&	CCONJ
cana-1015	142	10	huttenlocher	huttenlocher	PROPN
cana-1015	142	11	,	,	PUNCT
cana-1015	142	12	d.	d.	PROPN
cana-1015	142	13	p.	p.	PROPN
cana-1015	142	14	(	(	PUNCT
cana-1015	142	15	2004	2004	NUM
cana-1015	142	16	)	)	PUNCT
cana-1015	142	17	.	.	PUNCT
cana-1015	143	1	efficient	efficient	ADJ
cana-1015	143	2	graph	graph	NOUN
cana-1015	143	3	-	-	PUNCT
cana-1015	143	4	based	base	VERB
cana-1015	143	5	image	image	NOUN
cana-1015	143	6	segmentation	segmentation	NOUN
cana-1015	143	7	.	.	PUNCT
cana-1015	144	1	international	international	ADJ
cana-1015	144	2	journal	journal	PROPN
cana-1015	144	3	of	of	ADP
cana-1015	144	4	computer	computer	NOUN
cana-1015	144	5	vision	vision	NOUN
cana-1015	144	6	,	,	PUNCT
cana-1015	144	7	59(2	59(2	NUM
cana-1015	144	8	)	)	PUNCT
cana-1015	144	9	,	,	PUNCT
cana-1015	144	10	167	167	NUM
cana-1015	144	11	-	-	SYM
cana-1015	144	12	181	181	NUM
cana-1015	144	13	.	.	PUNCT
cana-1015	145	1	[	[	X
cana-1015	145	2	9	9	NUM
cana-1015	145	3	]	]	SYM
cana-1015	145	4	goldberg	goldberg	PROPN
cana-1015	145	5	,	,	PUNCT
cana-1015	145	6	d.	d.	PROPN
cana-1015	145	7	e.	e.	PROPN
cana-1015	145	8	(	(	PUNCT
cana-1015	145	9	1994	1994	NUM
cana-1015	145	10	)	)	PUNCT
cana-1015	145	11	.	.	PUNCT
cana-1015	146	1	genetic	genetic	ADJ
cana-1015	146	2	and	and	CCONJ
cana-1015	146	3	evolutionary	evolutionary	ADJ
cana-1015	146	4	algorithms	algorithm	NOUN
cana-1015	146	5	come	come	VERB
cana-1015	146	6	of	of	ADP
cana-1015	146	7	age	age	NOUN
cana-1015	146	8	.	.	PUNCT
cana-1015	147	1	communications	communication	NOUN
cana-1015	147	2	of	of	ADP
cana-1015	147	3	the	the	DET
cana-1015	147	4	acm	acm	PROPN
cana-1015	147	5	,	,	PUNCT
cana-1015	147	6	37(3	37(3	NUM
cana-1015	147	7	)	)	PUNCT
cana-1015	147	8	,	,	PUNCT
cana-1015	147	9	113	113	NUM
cana-1015	147	10	-	-	SYM
cana-1015	147	11	120	120	NUM
cana-1015	147	12	.	.	PUNCT
cana-1015	148	1	communications	communication	NOUN
cana-1015	148	2	on	on	ADP
cana-1015	148	3	applied	apply	VERB
cana-1015	148	4	nonlinear	nonlinear	ADJ
cana-1015	148	5	analysis	analysis	NOUN
cana-1015	148	6	issn	issn	NOUN
cana-1015	148	7	:	:	PUNCT
cana-1015	148	8	1074	1074	NUM
cana-1015	148	9	-	-	PUNCT
cana-1015	148	10	133x	133x	NUM
cana-1015	148	11	vol	vol	NOUN
cana-1015	148	12	31	31	NUM
cana-1015	148	13	no	no	NOUN
cana-1015	148	14	.	.	PUNCT
cana-1015	149	1	5s	5s	NUM
cana-1015	149	2	(	(	PUNCT
cana-1015	149	3	2024	2024	NUM
cana-1015	149	4	)	)	PUNCT
cana-1015	149	5	212	212	NUM
cana-1015	149	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1015	150	1	[	[	X
cana-1015	150	2	10	10	NUM
cana-1015	150	3	]	]	X
cana-1015	150	4	c.	c.	PROPN
cana-1015	150	5	yang	yang	PROPN
cana-1015	150	6	,	,	PUNCT
cana-1015	150	7	l.	l.	PROPN
cana-1015	150	8	zhang	zhang	PROPN
cana-1015	150	9	,	,	PUNCT
cana-1015	150	10	h.	h.	PROPN
cana-1015	150	11	lu	lu	PROPN
cana-1015	150	12	,	,	PUNCT
cana-1015	150	13	x.	x.	PROPN
cana-1015	150	14	ruan	ruan	PROPN
cana-1015	150	15	and	and	CCONJ
cana-1015	150	16	m.	m.	PROPN
cana-1015	150	17	yang	yang	PROPN
cana-1015	150	18	,	,	PUNCT
cana-1015	150	19	”	"	PUNCT
cana-1015	150	20	saliency	saliency	NOUN
cana-1015	150	21	detection	detection	NOUN
cana-1015	150	22	via	via	ADP
cana-1015	150	23	graph	graph	NOUN
cana-1015	150	24	-	-	PUNCT
cana-1015	150	25	based	base	VERB
cana-1015	150	26	manifold	manifold	ADJ
cana-1015	150	27	ranking	ranking	NOUN
cana-1015	150	28	,	,	PUNCT
cana-1015	150	29	”	"	PUNCT
cana-1015	150	30	2013	2013	NUM
cana-1015	150	31	ieee	ieee	NOUN
cana-1015	150	32	conference	conference	NOUN
cana-1015	150	33	on	on	ADP
cana-1015	150	34	computer	computer	NOUN
cana-1015	150	35	vision	vision	NOUN
cana-1015	150	36	and	and	CCONJ
cana-1015	150	37	pattern	pattern	NOUN
cana-1015	150	38	recognition	recognition	NOUN
cana-1015	150	39	,	,	PUNCT
cana-1015	150	40	portland	portland	PROPN
cana-1015	150	41	,	,	PUNCT
cana-1015	150	42	or	or	CCONJ
cana-1015	150	43	,	,	PUNCT
cana-1015	150	44	2013	2013	NUM
cana-1015	150	45	,	,	PUNCT
cana-1015	150	46	pp	pp	ADJ
cana-1015	150	47	.	.	PUNCT
cana-1015	151	1	3166	3166	NUM
cana-1015	151	2	-	-	SYM
cana-1015	151	3	3173	3173	NUM
cana-1015	151	4	.	.	PUNCT
cana-1015	152	1	[	[	X
cana-1015	152	2	11	11	NUM
cana-1015	152	3	]	]	X
cana-1015	152	4	b.	b.	PROPN
cana-1015	152	5	jiang	jiang	PROPN
cana-1015	152	6	,	,	PUNCT
cana-1015	152	7	l.	l.	PROPN
cana-1015	152	8	zhang	zhang	PROPN
cana-1015	152	9	,	,	PUNCT
cana-1015	152	10	h.	h.	PROPN
cana-1015	152	11	lu	lu	PROPN
cana-1015	152	12	,	,	PUNCT
cana-1015	152	13	c.	c.	PROPN
cana-1015	152	14	yang	yang	PROPN
cana-1015	152	15	and	and	CCONJ
cana-1015	152	16	m.	m.	PROPN
cana-1015	152	17	yang	yang	PROPN
cana-1015	152	18	,	,	PUNCT
cana-1015	152	19	”	"	PUNCT
cana-1015	152	20	saliency	saliency	NOUN
cana-1015	152	21	detection	detection	NOUN
cana-1015	152	22	via	via	ADP
cana-1015	152	23	absorbing	absorb	VERB
cana-1015	152	24	markov	markov	NOUN
cana-1015	152	25	chain	chain	NOUN
cana-1015	152	26	,	,	PUNCT
cana-1015	152	27	”	"	PUNCT
cana-1015	152	28	2013	2013	NUM
cana-1015	152	29	ieee	ieee	NOUN
cana-1015	152	30	international	international	ADJ
cana-1015	152	31	conference	conference	NOUN
cana-1015	152	32	on	on	ADP
cana-1015	152	33	computer	computer	NOUN
cana-1015	152	34	vision	vision	NOUN
cana-1015	152	35	,	,	PUNCT
cana-1015	152	36	sydney	sydney	PROPN
cana-1015	152	37	,	,	PUNCT
cana-1015	152	38	nsw	nsw	PROPN
cana-1015	152	39	,	,	PUNCT
cana-1015	152	40	2013	2013	NUM
cana-1015	152	41	,	,	PUNCT
cana-1015	152	42	pp	pp	ADJ
cana-1015	152	43	.	.	PUNCT
cana-1015	153	1	1665	1665	NUM
cana-1015	153	2	-	-	SYM
cana-1015	153	3	1672	1672	NUM
cana-1015	153	4	.	.	PUNCT
cana-1015	154	1	[	[	X
cana-1015	154	2	12	12	NUM
cana-1015	154	3	]	]	X
cana-1015	154	4	s.	s.	PROPN
cana-1015	154	5	abinash	abinash	PROPN
cana-1015	154	6	,	,	PUNCT
cana-1015	154	7	“	"	PUNCT
cana-1015	154	8	two	two	NUM
cana-1015	154	9	novel	novel	ADJ
cana-1015	154	10	graph	graph	NOUN
cana-1015	154	11	theory	theory	NOUN
cana-1015	154	12	based	base	VERB
cana-1015	154	13	algorithm	algorithm	NOUN
cana-1015	154	14	for	for	ADP
cana-1015	154	15	salient	salient	ADJ
cana-1015	154	16	object	object	NOUN
cana-1015	154	17	detection	detection	NOUN
cana-1015	154	18	.	.	PUNCT
cana-1015	154	19	”	"	PUNCT
cana-1015	155	1	2018	2018	NUM
cana-1015	155	2	ieee	ieee	NOUN
cana-1015	155	3	international	international	ADJ
cana-1015	155	4	conference	conference	NOUN
cana-1015	155	5	on	on	ADP
cana-1015	155	6	computing	compute	VERB
cana-1015	155	7	communication	communication	NOUN
cana-1015	155	8	and	and	CCONJ
cana-1015	155	9	automation	automation	NOUN
cana-1015	155	10	,	,	PUNCT
cana-1015	155	11	new	new	ADJ
cana-1015	155	12	delhi	delhi	PROPN
cana-1015	155	13	,	,	PUNCT
cana-1015	155	14	2018	2018	NUM
cana-1015	155	15	,	,	PUNCT
cana-1015	155	16	pp.1	pp.1	NOUN
cana-1015	155	17	-	-	PUNCT
cana-1015	155	18	6	6	NUM
cana-1015	155	19	.	.	PUNCT
cana-1015	156	1	[	[	X
cana-1015	156	2	13	13	NUM
cana-1015	156	3	]	]	X
cana-1015	156	4	v.	v.	ADP
cana-1015	156	5	navalpakkam	navalpakkam	PROPN
cana-1015	156	6	and	and	CCONJ
cana-1015	156	7	l.	l.	PROPN
cana-1015	156	8	itti	itti	PROPN
cana-1015	156	9	,	,	PUNCT
cana-1015	156	10	“	"	PUNCT
cana-1015	156	11	an	an	DET
cana-1015	156	12	integrated	integrated	ADJ
cana-1015	156	13	model	model	NOUN
cana-1015	156	14	of	of	ADP
cana-1015	156	15	top	top	ADJ
cana-1015	156	16	-	-	PUNCT
cana-1015	156	17	down	down	NOUN
cana-1015	156	18	and	and	CCONJ
cana-1015	156	19	bottom	bottom	NOUN
cana-1015	156	20	-	-	PUNCT
cana-1015	156	21	up	up	ADP
cana-1015	156	22	attention	attention	NOUN
cana-1015	156	23	for	for	ADP
cana-1015	156	24	optimizing	optimize	VERB
cana-1015	156	25	detection	detection	NOUN
cana-1015	156	26	speed	speed	NOUN
cana-1015	156	27	,	,	PUNCT
cana-1015	156	28	”	"	PUNCT
cana-1015	156	29	proc	proc	NOUN
cana-1015	156	30	.	.	PUNCT
cana-1015	157	1	ieee	ieee	PROPN
cana-1015	157	2	cs	cs	PROPN
cana-1015	157	3	conf	conf	NOUN
cana-1015	157	4	.	.	PUNCT
cana-1015	158	1	computer	computer	NOUN
cana-1015	158	2	vision	vision	NOUN
cana-1015	158	3	and	and	CCONJ
cana-1015	158	4	pattern	pattern	NOUN
cana-1015	158	5	recognition	recognition	NOUN
cana-1015	158	6	,	,	PUNCT
cana-1015	158	7	pp	pp	PROPN
cana-1015	158	8	.	.	PUNCT
cana-1015	158	9	20492056	20492056	NUM
cana-1015	158	10	,	,	PUNCT
cana-1015	158	11	2006	2006	NUM
cana-1015	158	12	.	.	PUNCT
cana-1015	159	1	[	[	X
cana-1015	159	2	14	14	NUM
cana-1015	159	3	]	]	X
cana-1015	159	4	u.	u.	PROPN
cana-1015	159	5	rutishauser	rutishauser	PROPN
cana-1015	159	6	,	,	PUNCT
cana-1015	159	7	d.	d.	PROPN
cana-1015	159	8	walther	walther	PROPN
cana-1015	159	9	,	,	PUNCT
cana-1015	159	10	c.	c.	PROPN
cana-1015	159	11	koch	koch	PROPN
cana-1015	159	12	,	,	PUNCT
cana-1015	159	13	and	and	CCONJ
cana-1015	159	14	p.	p.	PROPN
cana-1015	159	15	perona	perona	PROPN
cana-1015	159	16	,	,	PUNCT
cana-1015	159	17	“	"	PUNCT
cana-1015	159	18	is	be	AUX
cana-1015	159	19	bottomup	bottomup	VERB
cana-1015	159	20	attention	attention	NOUN
cana-1015	159	21	useful	useful	ADJ
cana-1015	159	22	for	for	ADP
cana-1015	159	23	object	object	NOUN
cana-1015	159	24	recognition	recognition	NOUN
cana-1015	159	25	?	?	PUNCT
cana-1015	159	26	”	"	PUNCT
cana-1015	159	27	proc	proc	NOUN
cana-1015	159	28	.	.	PUNCT
cana-1015	160	1	ieee	ieee	PROPN
cana-1015	160	2	cs	cs	PROPN
cana-1015	160	3	conf	conf	NOUN
cana-1015	160	4	.	.	PUNCT
cana-1015	161	1	computer	computer	NOUN
cana-1015	161	2	vision	vision	NOUN
cana-1015	161	3	and	and	CCONJ
cana-1015	161	4	pattern	pattern	NOUN
cana-1015	161	5	recognition	recognition	NOUN
cana-1015	161	6	,	,	PUNCT
cana-1015	161	7	pp	pp	ADJ
cana-1015	161	8	.	.	PUNCT
cana-1015	162	1	37	37	NUM
cana-1015	162	2	-	-	SYM
cana-1015	162	3	44	44	NUM
cana-1015	162	4	,	,	PUNCT
cana-1015	162	5	2004	2004	NUM
cana-1015	162	6	.	.	PUNCT
cana-1015	163	1	[	[	X
cana-1015	163	2	15	15	NUM
cana-1015	163	3	]	]	X
cana-1015	163	4	d.	d.	PROPN
cana-1015	163	5	walther	walther	PROPN
cana-1015	163	6	,	,	PUNCT
cana-1015	163	7	l.	l.	PROPN
cana-1015	163	8	itti	itti	PROPN
cana-1015	163	9	,	,	PUNCT
cana-1015	163	10	m.	m.	NOUN
cana-1015	163	11	riesenhuber	riesenhuber	PROPN
cana-1015	163	12	,	,	PUNCT
cana-1015	163	13	t.	t.	PROPN
cana-1015	163	14	poggio	poggio	PROPN
cana-1015	163	15	,	,	PUNCT
cana-1015	163	16	and	and	CCONJ
cana-1015	163	17	c.	c.	PROPN
cana-1015	163	18	koch	koch	PROPN
cana-1015	163	19	,	,	PUNCT
cana-1015	163	20	“	"	PUNCT
cana-1015	163	21	attentional	attentional	ADJ
cana-1015	163	22	selection	selection	NOUN
cana-1015	163	23	for	for	ADP
cana-1015	163	24	object	object	NOUN
cana-1015	163	25	recognition	recognition	NOUN
cana-1015	163	26	—	—	PUNCT
cana-1015	163	27	a	a	DET
cana-1015	163	28	gentle	gentle	ADJ
cana-1015	163	29	way	way	NOUN
cana-1015	163	30	,	,	PUNCT
cana-1015	163	31	”	"	PUNCT
cana-1015	163	32	proc	proc	NOUN
cana-1015	163	33	.	.	PUNCT
cana-1015	164	1	second	second	ADJ
cana-1015	164	2	int’l	int’l	NUM
cana-1015	164	3	workshop	workshop	NOUN
cana-1015	164	4	biologically	biologically	ADV
cana-1015	164	5	motivated	motivated	ADJ
cana-1015	164	6	computer	computer	NOUN
cana-1015	164	7	vision	vision	NOUN
cana-1015	164	8	,	,	PUNCT
cana-1015	164	9	2002	2002	NUM
cana-1015	164	10	.	.	PUNCT
cana-1015	165	1	[	[	X
cana-1015	165	2	16	16	NUM
cana-1015	165	3	]	]	X
cana-1015	165	4	ke	ke	PROPN
cana-1015	165	5	yan	yan	PROPN
cana-1015	165	6	,	,	PUNCT
cana-1015	165	7	changyang	changyang	PROPN
cana-1015	165	8	li	li	PROPN
cana-1015	165	9	,	,	PUNCT
cana-1015	165	10	xiuying	xiuying	PROPN
cana-1015	165	11	wang	wang	PROPN
cana-1015	165	12	,	,	PUNCT
cana-1015	165	13	ang	ang	PROPN
cana-1015	165	14	li	li	PROPN
cana-1015	165	15	,	,	PUNCT
cana-1015	165	16	yuchen	yuchen	PROPN
cana-1015	165	17	yuan	yuan	PROPN
cana-1015	165	18	,	,	PUNCT
cana-1015	165	19	jinman	jinman	PROPN
cana-1015	165	20	kim	kim	PROPN
cana-1015	165	21	,	,	PUNCT
cana-1015	165	22	dagan	dagan	PROPN
cana-1015	165	23	feng	feng	PROPN
cana-1015	165	24	,	,	PUNCT
cana-1015	165	25	"	"	PUNCT
cana-1015	165	26	adaptive	adaptive	ADJ
cana-1015	165	27	background	background	NOUN
cana-1015	165	28	search	search	NOUN
cana-1015	165	29	and	and	CCONJ
cana-1015	165	30	foreground	foreground	NOUN
cana-1015	165	31	estimation	estimation	NOUN
cana-1015	165	32	for	for	ADP
cana-1015	165	33	saliency	saliency	NOUN
cana-1015	165	34	detection	detection	NOUN
cana-1015	165	35	via	via	ADP
cana-1015	165	36	comprehensive	comprehensive	ADJ
cana-1015	165	37	autoencoder	autoencoder	NOUN
cana-1015	165	38	"	"	PUNCT
cana-1015	165	39	,	,	PUNCT
cana-1015	165	40	image	image	NOUN
cana-1015	165	41	processing	processing	NOUN
cana-1015	165	42	(	(	PUNCT
cana-1015	165	43	icip	icip	PROPN
cana-1015	165	44	)	)	PUNCT
cana-1015	165	45	2016	2016	NUM
cana-1015	165	46	ieee	ieee	PROPN
cana-1015	165	47	international	international	ADJ
cana-1015	165	48	conference	conference	NOUN
cana-1015	165	49	on	on	ADP
cana-1015	165	50	,	,	PUNCT
cana-1015	165	51	pp	pp	ADJ
cana-1015	165	52	.	.	PUNCT
cana-1015	165	53	2767	2767	NUM
cana-1015	165	54	-	-	SYM
cana-1015	165	55	2771	2771	NUM
cana-1015	165	56	,	,	PUNCT
cana-1015	165	57	2016	2016	NUM
cana-1015	165	58	.	.	PUNCT