id	sid	tid	token	lemma	pos
cana-4535	1	1	communications	communication	NOUN
cana-4535	1	2	on	on	ADP
cana-4535	1	3	applied	apply	VERB
cana-4535	1	4	nonlinear	nonlinear	ADJ
cana-4535	1	5	analysis	analysis	NOUN
cana-4535	1	6	issn	issn	NOUN
cana-4535	1	7	:	:	PUNCT
cana-4535	1	8	1074	1074	NUM
cana-4535	1	9	-	-	PUNCT
cana-4535	1	10	133x	133x	NUM
cana-4535	1	11	vol	vol	NOUN
cana-4535	1	12	32	32	NUM
cana-4535	1	13	no	no	NOUN
cana-4535	1	14	.	.	PUNCT
cana-4535	2	1	9s	9s	NUM
cana-4535	2	2	(	(	PUNCT
cana-4535	2	3	2025	2025	NUM
cana-4535	2	4	)	)	PUNCT
cana-4535	2	5	2454	2454	NUM
cana-4535	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4535	3	1	a	a	DET
cana-4535	3	2	novel	novel	ADJ
cana-4535	3	3	method	method	NOUN
cana-4535	3	4	for	for	ADP
cana-4535	3	5	identifying	identify	VERB
cana-4535	3	6	retinal	retinal	ADJ
cana-4535	3	7	blood	blood	NOUN
cana-4535	3	8	vessels	vessel	NOUN
cana-4535	3	9	using	use	VERB
cana-4535	3	10	fractional	fractional	ADJ
cana-4535	3	11	fuzzy	fuzzy	ADJ
cana-4535	3	12	local	local	ADJ
cana-4535	3	13	binary	binary	ADJ
cana-4535	3	14	patterns	pattern	NOUN
cana-4535	3	15	1vetri	1vetri	PROPN
cana-4535	3	16	k	k	PROPN
cana-4535	3	17	,	,	PUNCT
cana-4535	3	18	2*ananthi	2*ananthi	PROPN
cana-4535	3	19	v	v	ADP
cana-4535	3	20	p	p	X
cana-4535	3	21	,	,	PUNCT
cana-4535	3	22	and	and	CCONJ
cana-4535	3	23	3santhiya	3santhiya	NUM
cana-4535	3	24	g	g	NOUN
cana-4535	3	25	1	1	NUM
cana-4535	3	26	department	department	NOUN
cana-4535	3	27	of	of	ADP
cana-4535	3	28	mathematics	mathematic	NOUN
cana-4535	3	29	,	,	PUNCT
cana-4535	3	30	velalar	velalar	ADJ
cana-4535	3	31	college	college	NOUN
cana-4535	3	32	of	of	ADP
cana-4535	3	33	engineering	engineering	NOUN
cana-4535	3	34	and	and	CCONJ
cana-4535	3	35	technology	technology	NOUN
cana-4535	3	36	,	,	PUNCT
cana-4535	3	37	india	india	PROPN
cana-4535	3	38	&	&	CCONJ
cana-4535	3	39	part	part	NOUN
cana-4535	3	40	-time	-time	PROPN
cana-4535	3	41	research	research	NOUN
cana-4535	3	42	scholar	scholar	NOUN
cana-4535	3	43	,	,	PUNCT
cana-4535	3	44	department	department	NOUN
cana-4535	3	45	of	of	ADP
cana-4535	3	46	mathematics	mathematic	NOUN
cana-4535	3	47	,	,	PUNCT
cana-4535	3	48	gobi	gobi	PROPN
cana-4535	3	49	arts	arts	PROPN
cana-4535	3	50	&	&	CCONJ
cana-4535	3	51	science	science	PROPN
cana-4535	3	52	college	college	PROPN
cana-4535	3	53	(	(	PUNCT
cana-4535	3	54	bharathiar	bharathiar	PROPN
cana-4535	3	55	university	university	PROPN
cana-4535	3	56	)	)	PUNCT
cana-4535	3	57	,	,	PUNCT
cana-4535	3	58	india	india	PROPN
cana-4535	3	59	(	(	PUNCT
cana-4535	3	60	e	e	NOUN
cana-4535	3	61	-	-	NOUN
cana-4535	3	62	mail	mail	NOUN
cana-4535	3	63	:	:	PUNCT
cana-4535	3	64	vetrikg@gmail.com	vetrikg@gmail.com	X
cana-4535	3	65	)	)	PUNCT
cana-4535	3	66	.	.	PUNCT
cana-4535	4	1	2	2	NUM
cana-4535	4	2	*	*	PUNCT
cana-4535	4	3	corresponding	correspond	VERB
cana-4535	4	4	author	author	NOUN
cana-4535	4	5	:	:	PUNCT
cana-4535	4	6	department	department	NOUN
cana-4535	4	7	of	of	ADP
cana-4535	4	8	mathematics	mathematics	PROPN
cana-4535	4	9	,	,	PUNCT
cana-4535	4	10	gobi	gobi	PROPN
cana-4535	4	11	arts	arts	PROPN
cana-4535	4	12	&	&	CCONJ
cana-4535	4	13	science	science	PROPN
cana-4535	4	14	college	college	PROPN
cana-4535	4	15	(	(	PUNCT
cana-4535	4	16	bharathiar	bharathiar	PROPN
cana-4535	4	17	university	university	PROPN
cana-4535	4	18	)	)	PUNCT
cana-4535	4	19	,	,	PUNCT
cana-4535	4	20	india	india	PROPN
cana-4535	4	21	.	.	PUNCT
cana-4535	4	22	(	(	PUNCT
cana-4535	4	23	e	e	NOUN
cana-4535	4	24	-	-	NOUN
cana-4535	4	25	mail	mail	NOUN
cana-4535	4	26	:	:	PUNCT
cana-4535	4	27	ananthi.gasc89@gmail.com	ananthi.gasc89@gmail.com	NUM
cana-4535	4	28	)	)	PUNCT
cana-4535	4	29	.	.	PUNCT
cana-4535	5	1	3	3	NUM
cana-4535	5	2	department	department	NOUN
cana-4535	5	3	of	of	ADP
cana-4535	5	4	mathematics	mathematic	NOUN
cana-4535	5	5	,	,	PUNCT
cana-4535	5	6	gobi	gobi	PROPN
cana-4535	5	7	arts	arts	PROPN
cana-4535	5	8	&	&	CCONJ
cana-4535	5	9	science	science	PROPN
cana-4535	5	10	college	college	PROPN
cana-4535	5	11	(	(	PUNCT
cana-4535	5	12	bharathiar	bharathiar	PROPN
cana-4535	5	13	university	university	PROPN
cana-4535	5	14	)	)	PUNCT
cana-4535	5	15	,	,	PUNCT
cana-4535	5	16	india	india	PROPN
cana-4535	5	17	.	.	PUNCT
cana-4535	6	1	(	(	PUNCT
cana-4535	6	2	e	e	NOUN
cana-4535	6	3	-	-	NOUN
cana-4535	6	4	mail	mail	NOUN
cana-4535	6	5	:	:	PUNCT
cana-4535	6	6	thiyakrish145@gmail.com	thiyakrish145@gmail.com	NUM
cana-4535	6	7	)	)	PUNCT
cana-4535	6	8	.	.	PUNCT
cana-4535	7	1	article	article	NOUN
cana-4535	7	2	history	history	NOUN
cana-4535	7	3	:	:	PUNCT
cana-4535	7	4	received	receive	VERB
cana-4535	7	5	:	:	PUNCT
cana-4535	7	6	12	12	NUM
cana-4535	7	7	-	-	SYM
cana-4535	7	8	01	01	NUM
cana-4535	7	9	-	-	PUNCT
cana-4535	7	10	2025	2025	NUM
cana-4535	7	11	revised	revise	VERB
cana-4535	7	12	:	:	PUNCT
cana-4535	7	13	15	15	NUM
cana-4535	7	14	-	-	NUM
cana-4535	7	15	02	02	NUM
cana-4535	7	16	-	-	PUNCT
cana-4535	7	17	2025	2025	NUM
cana-4535	7	18	accepted	accept	VERB
cana-4535	7	19	:	:	PUNCT
cana-4535	7	20	01	01	NUM
cana-4535	7	21	-	-	SYM
cana-4535	7	22	03	03	NUM
cana-4535	7	23	-	-	PUNCT
cana-4535	7	24	2025	2025	NUM
cana-4535	7	25	abstract	abstract	NOUN
cana-4535	7	26	:	:	PUNCT
cana-4535	7	27	detection	detection	NOUN
cana-4535	7	28	of	of	ADP
cana-4535	7	29	blood	blood	NOUN
cana-4535	7	30	vessels	vessel	NOUN
cana-4535	7	31	in	in	ADP
cana-4535	7	32	retinal	retinal	ADJ
cana-4535	7	33	is	be	AUX
cana-4535	7	34	a	a	DET
cana-4535	7	35	primary	primary	ADJ
cana-4535	7	36	step	step	NOUN
cana-4535	7	37	for	for	ADP
cana-4535	7	38	diagnose	diagnose	NOUN
cana-4535	7	39	hypertension	hypertension	NOUN
cana-4535	7	40	and	and	CCONJ
cana-4535	7	41	glaucoma	glaucoma	NOUN
cana-4535	7	42	.	.	PUNCT
cana-4535	8	1	numerous	numerous	ADJ
cana-4535	8	2	techniques	technique	NOUN
cana-4535	8	3	have	have	AUX
cana-4535	8	4	been	be	AUX
cana-4535	8	5	developed	develop	VERB
cana-4535	8	6	for	for	ADP
cana-4535	8	7	detection	detection	NOUN
cana-4535	8	8	of	of	ADP
cana-4535	8	9	retinal	retinal	ADJ
cana-4535	8	10	blood	blood	NOUN
cana-4535	8	11	vessels	vessel	NOUN
cana-4535	8	12	but	but	CCONJ
cana-4535	8	13	lack	lack	NOUN
cana-4535	8	14	of	of	ADP
cana-4535	8	15	robustness	robustness	NOUN
cana-4535	8	16	.	.	PUNCT
cana-4535	9	1	in	in	ADP
cana-4535	9	2	this	this	DET
cana-4535	9	3	paper	paper	NOUN
cana-4535	9	4	,	,	PUNCT
cana-4535	9	5	a	a	DET
cana-4535	9	6	new	new	ADJ
cana-4535	9	7	method	method	NOUN
cana-4535	9	8	is	be	AUX
cana-4535	9	9	presented	present	VERB
cana-4535	9	10	to	to	PART
cana-4535	9	11	improve	improve	VERB
cana-4535	9	12	the	the	DET
cana-4535	9	13	accuracy	accuracy	NOUN
cana-4535	9	14	of	of	ADP
cana-4535	9	15	finding	find	VERB
cana-4535	9	16	retinal	retinal	ADJ
cana-4535	9	17	blood	blood	NOUN
cana-4535	9	18	vessels	vessel	NOUN
cana-4535	9	19	and	and	CCONJ
cana-4535	9	20	to	to	PART
cana-4535	9	21	remove	remove	VERB
cana-4535	9	22	the	the	DET
cana-4535	9	23	unwanted	unwanted	ADJ
cana-4535	9	24	hair	hair	NOUN
cana-4535	9	25	line	line	NOUN
cana-4535	9	26	by	by	ADP
cana-4535	9	27	fractional	fractional	ADJ
cana-4535	9	28	fuzzy	fuzzy	ADJ
cana-4535	9	29	local	local	ADJ
cana-4535	9	30	binary	binary	NOUN
cana-4535	9	31	pattern	pattern	NOUN
cana-4535	9	32	(	(	PUNCT
cana-4535	9	33	fflbp	fflbp	PROPN
cana-4535	9	34	)	)	PUNCT
cana-4535	9	35	.	.	PUNCT
cana-4535	10	1	in	in	ADP
cana-4535	10	2	fflbp	fflbp	PROPN
cana-4535	10	3	several	several	ADJ
cana-4535	10	4	membership	membership	NOUN
cana-4535	10	5	functions	function	NOUN
cana-4535	10	6	is	be	AUX
cana-4535	10	7	applied	apply	VERB
cana-4535	10	8	for	for	ADP
cana-4535	10	9	each	each	DET
cana-4535	10	10	pixels	pixel	NOUN
cana-4535	10	11	and	and	CCONJ
cana-4535	10	12	the	the	DET
cana-4535	10	13	membership	membership	NOUN
cana-4535	10	14	function	function	NOUN
cana-4535	10	15	having	have	VERB
cana-4535	10	16	maximum	maximum	ADJ
cana-4535	10	17	entropy	entropy	NOUN
cana-4535	10	18	is	be	AUX
cana-4535	10	19	opted	opt	VERB
cana-4535	10	20	as	as	SCONJ
cana-4535	10	21	membership	membership	NOUN
cana-4535	10	22	function	function	NOUN
cana-4535	10	23	for	for	ADP
cana-4535	10	24	the	the	DET
cana-4535	10	25	corresponding	corresponding	ADJ
cana-4535	10	26	pixel	pixel	NOUN
cana-4535	10	27	and	and	CCONJ
cana-4535	10	28	new	new	ADJ
cana-4535	10	29	weightage	weightage	NOUN
cana-4535	10	30	matrix	matrix	NOUN
cana-4535	10	31	have	have	AUX
cana-4535	10	32	been	be	AUX
cana-4535	10	33	introduced	introduce	VERB
cana-4535	10	34	for	for	ADP
cana-4535	10	35	find	find	VERB
cana-4535	10	36	local	local	ADJ
cana-4535	10	37	binary	binary	ADJ
cana-4535	10	38	pattern(lpb	pattern(lpb	PROPN
cana-4535	10	39	)	)	PUNCT
cana-4535	10	40	code	code	NOUN
cana-4535	10	41	.	.	PUNCT
cana-4535	11	1	after	after	ADP
cana-4535	11	2	applying	apply	VERB
cana-4535	11	3	fflbp	fflbp	PROPN
cana-4535	11	4	,	,	PUNCT
cana-4535	11	5	it	it	PRON
cana-4535	11	6	gives	give	VERB
cana-4535	11	7	improved	improved	ADJ
cana-4535	11	8	results	result	NOUN
cana-4535	11	9	along	along	ADP
cana-4535	11	10	with	with	ADP
cana-4535	11	11	the	the	DET
cana-4535	11	12	removal	removal	NOUN
cana-4535	11	13	of	of	ADP
cana-4535	11	14	hair	hair	NOUN
cana-4535	11	15	lines	line	NOUN
cana-4535	11	16	.	.	PUNCT
cana-4535	12	1	the	the	DET
cana-4535	12	2	results	result	NOUN
cana-4535	12	3	of	of	ADP
cana-4535	12	4	the	the	DET
cana-4535	12	5	presented	present	VERB
cana-4535	12	6	method	method	NOUN
cana-4535	12	7	are	be	AUX
cana-4535	12	8	compared	compare	VERB
cana-4535	12	9	with	with	ADP
cana-4535	12	10	existing	exist	VERB
cana-4535	12	11	edge	edge	NOUN
cana-4535	12	12	detection	detection	NOUN
cana-4535	12	13	methods	method	NOUN
cana-4535	12	14	.	.	PUNCT
cana-4535	13	1	quantitative	quantitative	ADJ
cana-4535	13	2	measures	measure	NOUN
cana-4535	13	3	show	show	VERB
cana-4535	13	4	that	that	SCONJ
cana-4535	13	5	the	the	DET
cana-4535	13	6	presented	present	VERB
cana-4535	13	7	work	work	NOUN
cana-4535	13	8	gives	give	VERB
cana-4535	13	9	finer	fine	ADJ
cana-4535	13	10	performance	performance	NOUN
cana-4535	13	11	.	.	PUNCT
cana-4535	14	1	keywords	keyword	NOUN
cana-4535	14	2	:	:	PUNCT
cana-4535	14	3	edge	edge	NOUN
cana-4535	14	4	detection	detection	NOUN
cana-4535	14	5	,	,	PUNCT
cana-4535	14	6	fractional	fractional	ADJ
cana-4535	14	7	derivative	derivative	ADJ
cana-4535	14	8	,	,	PUNCT
cana-4535	14	9	fuzzy	fuzzy	ADJ
cana-4535	14	10	set	set	NOUN
cana-4535	14	11	theory	theory	NOUN
cana-4535	14	12	,	,	PUNCT
cana-4535	14	13	local	local	ADJ
cana-4535	14	14	binary	binary	ADJ
cana-4535	14	15	pattern	pattern	NOUN
cana-4535	14	16	,	,	PUNCT
cana-4535	14	17	membership	membership	NOUN
cana-4535	14	18	function	function	NOUN
cana-4535	14	19	.	.	PUNCT
cana-4535	15	1	1	1	X
cana-4535	15	2	.	.	X
cana-4535	15	3	introduction	introduction	NOUN
cana-4535	15	4	edges	edge	NOUN
cana-4535	15	5	appear	appear	VERB
cana-4535	15	6	when	when	SCONJ
cana-4535	15	7	there	there	PRON
cana-4535	15	8	is	be	VERB
cana-4535	15	9	a	a	DET
cana-4535	15	10	change	change	NOUN
cana-4535	15	11	in	in	ADP
cana-4535	15	12	gray	gray	ADJ
cana-4535	15	13	level	level	NOUN
cana-4535	15	14	,	,	PUNCT
cana-4535	15	15	shades	shade	NOUN
cana-4535	15	16	,	,	PUNCT
cana-4535	15	17	and	and	CCONJ
cana-4535	15	18	light	light	NOUN
cana-4535	15	19	in	in	ADP
cana-4535	15	20	the	the	DET
cana-4535	15	21	image	image	NOUN
cana-4535	15	22	.	.	PUNCT
cana-4535	16	1	edges	edge	NOUN
cana-4535	16	2	are	be	AUX
cana-4535	16	3	an	an	DET
cana-4535	16	4	important	important	ADJ
cana-4535	16	5	factor	factor	NOUN
cana-4535	16	6	in	in	ADP
cana-4535	16	7	image	image	NOUN
cana-4535	16	8	processing	processing	NOUN
cana-4535	16	9	and	and	CCONJ
cana-4535	16	10	it	it	PRON
cana-4535	16	11	is	be	AUX
cana-4535	16	12	used	use	VERB
cana-4535	16	13	to	to	PART
cana-4535	16	14	discover	discover	VERB
cana-4535	16	15	the	the	DET
cana-4535	16	16	object	object	NOUN
cana-4535	16	17	,	,	PUNCT
cana-4535	16	18	size	size	NOUN
cana-4535	16	19	,	,	PUNCT
cana-4535	16	20	extract	extract	VERB
cana-4535	16	21	texture	texture	NOUN
cana-4535	16	22	,	,	PUNCT
cana-4535	16	23	and	and	CCONJ
cana-4535	16	24	depth	depth	NOUN
cana-4535	16	25	region	region	NOUN
cana-4535	16	26	of	of	ADP
cana-4535	16	27	an	an	DET
cana-4535	16	28	image	image	NOUN
cana-4535	16	29	.	.	PUNCT
cana-4535	17	1	edge	edge	NOUN
cana-4535	17	2	detection	detection	NOUN
cana-4535	17	3	is	be	AUX
cana-4535	17	4	applied	apply	VERB
cana-4535	17	5	in	in	ADP
cana-4535	17	6	many	many	ADJ
cana-4535	17	7	fields	field	NOUN
cana-4535	17	8	including	include	VERB
cana-4535	17	9	traffic	traffic	NOUN
cana-4535	17	10	systems	system	NOUN
cana-4535	17	11	,	,	PUNCT
cana-4535	17	12	defense	defense	NOUN
cana-4535	17	13	,	,	PUNCT
cana-4535	17	14	remote	remote	ADJ
cana-4535	17	15	sensing	sensing	NOUN
cana-4535	17	16	,	,	PUNCT
cana-4535	17	17	and	and	CCONJ
cana-4535	17	18	medical	medical	ADJ
cana-4535	17	19	image	image	NOUN
cana-4535	17	20	analysis	analysis	NOUN
cana-4535	17	21	.	.	PUNCT
cana-4535	18	1	in	in	ADP
cana-4535	18	2	the	the	DET
cana-4535	18	3	early	early	ADJ
cana-4535	18	4	20th	20th	ADJ
cana-4535	18	5	century	century	NOUN
cana-4535	18	6	deduction	deduction	NOUN
cana-4535	18	7	of	of	ADP
cana-4535	18	8	blood	blood	NOUN
cana-4535	18	9	vessels	vessel	NOUN
cana-4535	18	10	in	in	ADP
cana-4535	18	11	the	the	DET
cana-4535	18	12	retina	retina	NOUN
cana-4535	18	13	was	be	AUX
cana-4535	18	14	introduced	introduce	VERB
cana-4535	18	15	[	[	PUNCT
cana-4535	18	16	2	2	NUM
cana-4535	18	17	]	]	PUNCT
cana-4535	18	18	.	.	PUNCT
cana-4535	19	1	retinal	retinal	ADJ
cana-4535	19	2	blood	blood	NOUN
cana-4535	19	3	vessels	vessel	NOUN
cana-4535	19	4	can	can	AUX
cana-4535	19	5	be	be	AUX
cana-4535	19	6	brought	bring	VERB
cana-4535	19	7	into	into	ADP
cana-4535	19	8	play	play	NOUN
cana-4535	19	9	by	by	ADP
cana-4535	19	10	monitoring	monitor	VERB
cana-4535	19	11	and	and	CCONJ
cana-4535	19	12	discovering	discover	VERB
cana-4535	19	13	the	the	DET
cana-4535	19	14	disease	disease	NOUN
cana-4535	19	15	such	such	ADJ
cana-4535	19	16	as	as	ADP
cana-4535	19	17	diabetes	diabetes	NOUN
cana-4535	19	18	or	or	CCONJ
cana-4535	19	19	macular	macular	ADJ
cana-4535	19	20	degeneration	degeneration	NOUN
cana-4535	19	21	.	.	PUNCT
cana-4535	20	1	approximately	approximately	ADV
cana-4535	20	2	26	26	NUM
cana-4535	20	3	%	%	NOUN
cana-4535	20	4	population	population	NOUN
cana-4535	20	5	is	be	AUX
cana-4535	20	6	affected	affect	VERB
cana-4535	20	7	by	by	ADP
cana-4535	20	8	this	this	DET
cana-4535	20	9	disease	disease	NOUN
cana-4535	20	10	.	.	PUNCT
cana-4535	21	1	also	also	ADV
cana-4535	21	2	,	,	PUNCT
cana-4535	21	3	detection	detection	NOUN
cana-4535	21	4	of	of	ADP
cana-4535	21	5	blood	blood	NOUN
cana-4535	21	6	vessels	vessel	NOUN
cana-4535	21	7	plays	play	VERB
cana-4535	21	8	a	a	DET
cana-4535	21	9	crucial	crucial	ADJ
cana-4535	21	10	role	role	NOUN
cana-4535	21	11	in	in	ADP
cana-4535	21	12	biometric	biometric	ADJ
cana-4535	21	13	systems	system	NOUN
cana-4535	21	14	.	.	PUNCT
cana-4535	22	1	there	there	PRON
cana-4535	22	2	are	be	VERB
cana-4535	22	3	several	several	ADJ
cana-4535	22	4	edge	edge	NOUN
cana-4535	22	5	detectors	detector	NOUN
cana-4535	22	6	available	available	ADJ
cana-4535	22	7	in	in	ADP
cana-4535	22	8	practice	practice	NOUN
cana-4535	22	9	such	such	ADJ
cana-4535	22	10	as	as	ADP
cana-4535	22	11	canny	canny	ADJ
cana-4535	22	12	,	,	PUNCT
cana-4535	22	13	sobel	sobel	NOUN
cana-4535	22	14	,	,	PUNCT
cana-4535	22	15	robert	robert	PROPN
cana-4535	22	16	etc	etc	X
cana-4535	22	17	.	.	X
cana-4535	22	18	,	,	PUNCT
cana-4535	22	19	these	these	DET
cana-4535	22	20	mask	mask	NOUN
cana-4535	22	21	operators	operator	NOUN
cana-4535	22	22	are	be	AUX
cana-4535	22	23	giving	give	VERB
cana-4535	22	24	better	well	ADJ
cana-4535	22	25	results	result	NOUN
cana-4535	22	26	for	for	ADP
cana-4535	22	27	simple	simple	ADJ
cana-4535	22	28	images	image	NOUN
cana-4535	22	29	.	.	PUNCT
cana-4535	23	1	when	when	SCONJ
cana-4535	23	2	one	one	NUM
cana-4535	23	3	deals	deal	VERB
cana-4535	23	4	with	with	ADP
cana-4535	23	5	an	an	DET
cana-4535	23	6	image	image	NOUN
cana-4535	23	7	having	have	VERB
cana-4535	23	8	noise	noise	NOUN
cana-4535	23	9	,	,	PUNCT
cana-4535	23	10	these	these	DET
cana-4535	23	11	methods	method	NOUN
cana-4535	23	12	are	be	AUX
cana-4535	23	13	not	not	PART
cana-4535	23	14	working	work	VERB
cana-4535	23	15	properly	properly	ADV
cana-4535	23	16	and	and	CCONJ
cana-4535	23	17	also	also	ADV
cana-4535	23	18	it	it	PRON
cana-4535	23	19	fails	fail	VERB
cana-4535	23	20	to	to	PART
cana-4535	23	21	find	find	VERB
cana-4535	23	22	complex	complex	ADJ
cana-4535	23	23	image	image	NOUN
cana-4535	23	24	edges	edge	NOUN
cana-4535	23	25	.	.	PUNCT
cana-4535	24	1	in	in	ADP
cana-4535	24	2	recent	recent	ADJ
cana-4535	24	3	times	time	NOUN
cana-4535	24	4	,	,	PUNCT
cana-4535	24	5	plenty	plenty	NOUN
cana-4535	24	6	of	of	ADP
cana-4535	24	7	methods	method	NOUN
cana-4535	24	8	are	be	AUX
cana-4535	24	9	developed	develop	VERB
cana-4535	24	10	to	to	PART
cana-4535	24	11	address	address	VERB
cana-4535	24	12	this	this	DET
cana-4535	24	13	shortcoming	shortcoming	NOUN
cana-4535	24	14	.	.	PUNCT
cana-4535	25	1	mailto:vetrikg@gmail.com	mailto:vetrikg@gmail.com	X
cana-4535	25	2	mailto:ananthi.gasc89@gmail.com	mailto:ananthi.gasc89@gmail.com	X
cana-4535	26	1	mailto:thiyakrish145@gmail.com	mailto:thiyakrish145@gmail.com	X
cana-4535	26	2	communications	communication	NOUN
cana-4535	26	3	on	on	ADP
cana-4535	26	4	applied	apply	VERB
cana-4535	26	5	nonlinear	nonlinear	ADJ
cana-4535	26	6	analysis	analysis	NOUN
cana-4535	26	7	issn	issn	NOUN
cana-4535	26	8	:	:	PUNCT
cana-4535	26	9	1074	1074	NUM
cana-4535	26	10	-	-	PUNCT
cana-4535	26	11	133x	133x	NUM
cana-4535	26	12	vol	vol	NOUN
cana-4535	26	13	32	32	NUM
cana-4535	26	14	no	no	NOUN
cana-4535	26	15	.	.	PUNCT
cana-4535	27	1	9s	9s	NUM
cana-4535	27	2	(	(	PUNCT
cana-4535	27	3	2025	2025	NUM
cana-4535	27	4	)	)	PUNCT
cana-4535	27	5	2455	2455	NUM
cana-4535	27	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4535	27	7	in	in	ADP
cana-4535	27	8	the	the	DET
cana-4535	27	9	beginning	beginning	NOUN
cana-4535	27	10	of	of	ADP
cana-4535	27	11	10th	10th	ADJ
cana-4535	27	12	century	century	NOUN
cana-4535	27	13	most	most	ADJ
cana-4535	27	14	of	of	ADP
cana-4535	27	15	the	the	DET
cana-4535	27	16	mathematical	mathematical	ADJ
cana-4535	27	17	problems	problem	NOUN
cana-4535	27	18	have	have	AUX
cana-4535	27	19	used	use	VERB
cana-4535	27	20	binary	binary	ADJ
cana-4535	27	21	pattern	pattern	NOUN
cana-4535	27	22	.	.	PUNCT
cana-4535	28	1	but	but	CCONJ
cana-4535	28	2	in	in	ADP
cana-4535	28	3	end	end	NOUN
cana-4535	28	4	of	of	ADP
cana-4535	28	5	the	the	DET
cana-4535	28	6	19th	19th	ADJ
cana-4535	28	7	century	century	NOUN
cana-4535	28	8	,	,	PUNCT
cana-4535	28	9	binary	binary	ADJ
cana-4535	28	10	pattern	pattern	NOUN
cana-4535	28	11	is	be	AUX
cana-4535	28	12	insufficient	insufficient	ADJ
cana-4535	28	13	to	to	PART
cana-4535	28	14	model	model	VERB
cana-4535	28	15	the	the	DET
cana-4535	28	16	real	real	ADJ
cana-4535	28	17	world	world	NOUN
cana-4535	28	18	problem	problem	NOUN
cana-4535	28	19	because	because	SCONJ
cana-4535	28	20	real	real	ADJ
cana-4535	28	21	world	world	NOUN
cana-4535	28	22	problems	problem	NOUN
cana-4535	28	23	contain	contain	VERB
cana-4535	28	24	uncertainty	uncertainty	NOUN
cana-4535	28	25	[	[	X
cana-4535	28	26	3	3	NUM
cana-4535	28	27	]	]	PUNCT
cana-4535	28	28	.	.	PUNCT
cana-4535	29	1	in	in	ADP
cana-4535	29	2	1965	1965	NUM
cana-4535	29	3	,	,	PUNCT
cana-4535	29	4	lotfi	lotfi	PROPN
cana-4535	29	5	zadeh	zadeh	PROPN
cana-4535	29	6	introduces	introduce	VERB
cana-4535	29	7	the	the	DET
cana-4535	29	8	concept	concept	NOUN
cana-4535	29	9	of	of	ADP
cana-4535	29	10	fuzzy	fuzzy	ADJ
cana-4535	29	11	set	set	NOUN
cana-4535	29	12	.	.	PUNCT
cana-4535	30	1	prewitt	prewitt	PROPN
cana-4535	31	1	[	[	X
cana-4535	31	2	4	4	X
cana-4535	31	3	]	]	PUNCT
cana-4535	31	4	is	be	AUX
cana-4535	31	5	the	the	DET
cana-4535	31	6	first	first	ADJ
cana-4535	31	7	person	person	NOUN
cana-4535	31	8	to	to	PART
cana-4535	31	9	apply	apply	VERB
cana-4535	31	10	the	the	DET
cana-4535	31	11	concept	concept	NOUN
cana-4535	31	12	of	of	ADP
cana-4535	31	13	fuzzy	fuzzy	ADJ
cana-4535	31	14	set	set	VERB
cana-4535	31	15	in	in	ADP
cana-4535	31	16	image	image	NOUN
cana-4535	31	17	in	in	ADP
cana-4535	31	18	1970	1970	NUM
cana-4535	31	19	.	.	PUNCT
cana-4535	32	1	in	in	ADP
cana-4535	32	2	1992	1992	NUM
cana-4535	32	3	,	,	PUNCT
cana-4535	32	4	s.	s.	PROPN
cana-4535	32	5	k.	k.	PROPN
cana-4535	32	6	pal	pal	PROPN
cana-4535	33	1	[	[	X
cana-4535	33	2	5	5	NUM
cana-4535	33	3	]	]	PUNCT
cana-4535	33	4	developed	develop	VERB
cana-4535	33	5	the	the	DET
cana-4535	33	6	fuzzy	fuzzy	ADJ
cana-4535	33	7	set	set	NOUN
cana-4535	33	8	theory	theory	NOUN
cana-4535	33	9	for	for	ADP
cana-4535	33	10	image	image	NOUN
cana-4535	33	11	processing	processing	NOUN
cana-4535	33	12	and	and	CCONJ
cana-4535	33	13	pattern	pattern	NOUN
cana-4535	33	14	recognition	recognition	NOUN
cana-4535	33	15	.	.	PUNCT
cana-4535	34	1	rather	rather	ADV
cana-4535	34	2	than	than	ADP
cana-4535	34	3	binary	binary	ADJ
cana-4535	34	4	concept	concept	NOUN
cana-4535	34	5	in	in	ADP
cana-4535	34	6	set	set	ADJ
cana-4535	34	7	theory	theory	NOUN
cana-4535	34	8	fuzzy	fuzzy	ADJ
cana-4535	34	9	logic	logic	NOUN
cana-4535	34	10	gives	give	VERB
cana-4535	34	11	more	more	ADJ
cana-4535	34	12	reliability	reliability	NOUN
cana-4535	34	13	to	to	PART
cana-4535	34	14	interpret	interpret	VERB
cana-4535	34	15	the	the	DET
cana-4535	34	16	uncertainty	uncertainty	NOUN
cana-4535	34	17	in	in	ADP
cana-4535	34	18	real	real	ADJ
cana-4535	34	19	world	world	NOUN
cana-4535	34	20	phenomena	phenomenon	NOUN
cana-4535	34	21	.	.	PUNCT
cana-4535	35	1	fuzzy	fuzzy	ADJ
cana-4535	35	2	logic	logic	NOUN
cana-4535	35	3	has	have	AUX
cana-4535	35	4	made	make	VERB
cana-4535	35	5	impact	impact	NOUN
cana-4535	35	6	in	in	ADP
cana-4535	35	7	many	many	ADJ
cana-4535	35	8	fields	field	NOUN
cana-4535	35	9	of	of	ADP
cana-4535	35	10	mathematical	mathematical	ADJ
cana-4535	35	11	science	science	NOUN
cana-4535	35	12	.	.	PUNCT
cana-4535	36	1	local	local	ADJ
cana-4535	36	2	binary	binary	ADJ
cana-4535	36	3	pattern	pattern	NOUN
cana-4535	36	4	(	(	PUNCT
cana-4535	36	5	lbp	lbp	NOUN
cana-4535	36	6	)	)	PUNCT
cana-4535	36	7	method	method	NOUN
cana-4535	36	8	has	have	AUX
cana-4535	36	9	been	be	AUX
cana-4535	36	10	described	describe	VERB
cana-4535	36	11	by	by	ADP
cana-4535	36	12	t.	t.	PROPN
cana-4535	36	13	ojala	ojala	PROPN
cana-4535	36	14	in	in	ADP
cana-4535	36	15	1994	1994	NUM
cana-4535	36	16	[	[	X
cana-4535	36	17	6	6	NUM
cana-4535	36	18	]	]	PUNCT
cana-4535	36	19	and	and	CCONJ
cana-4535	36	20	it	it	PRON
cana-4535	36	21	is	be	AUX
cana-4535	36	22	used	use	VERB
cana-4535	36	23	far	far	ADV
cana-4535	36	24	and	and	CCONJ
cana-4535	36	25	widely	widely	ADV
cana-4535	36	26	by	by	ADP
cana-4535	36	27	countless	countless	ADJ
cana-4535	36	28	researchers	researcher	NOUN
cana-4535	36	29	in	in	ADP
cana-4535	36	30	the	the	DET
cana-4535	36	31	field	field	NOUN
cana-4535	36	32	of	of	ADP
cana-4535	36	33	face	face	NOUN
cana-4535	36	34	detection	detection	NOUN
cana-4535	36	35	and	and	CCONJ
cana-4535	36	36	texture	texture	ADJ
cana-4535	36	37	recognition	recognition	NOUN
cana-4535	36	38	.	.	PUNCT
cana-4535	37	1	fuzzy	fuzzy	ADJ
cana-4535	37	2	logic	logic	NOUN
cana-4535	37	3	combined	combine	VERB
cana-4535	37	4	with	with	ADP
cana-4535	37	5	local	local	ADJ
cana-4535	37	6	binary	binary	ADJ
cana-4535	37	7	pattern	pattern	NOUN
cana-4535	37	8	model	model	NOUN
cana-4535	37	9	is	be	AUX
cana-4535	37	10	developed	develop	VERB
cana-4535	37	11	by	by	ADP
cana-4535	37	12	keramidas	keramida	NOUN
cana-4535	37	13	in	in	ADP
cana-4535	37	14	2011	2011	NUM
cana-4535	38	1	[	[	X
cana-4535	38	2	9	9	NUM
cana-4535	38	3	]	]	PUNCT
cana-4535	38	4	.	.	PUNCT
cana-4535	39	1	it	it	PRON
cana-4535	39	2	is	be	AUX
cana-4535	39	3	relating	relate	VERB
cana-4535	39	4	the	the	DET
cana-4535	39	5	concept	concept	NOUN
cana-4535	39	6	of	of	ADP
cana-4535	39	7	generalized	generalized	ADJ
cana-4535	39	8	fuzzy	fuzzy	ADJ
cana-4535	39	9	with	with	ADP
cana-4535	39	10	binary	binary	ADJ
cana-4535	39	11	pattern	pattern	NOUN
cana-4535	39	12	.	.	PUNCT
cana-4535	40	1	while	while	SCONJ
cana-4535	40	2	using	use	VERB
cana-4535	40	3	local	local	ADJ
cana-4535	40	4	binary	binary	ADJ
cana-4535	40	5	pattern	pattern	NOUN
cana-4535	40	6	each	each	DET
cana-4535	40	7	pixel	pixel	NOUN
cana-4535	40	8	is	be	AUX
cana-4535	40	9	compared	compare	VERB
cana-4535	40	10	with	with	ADP
cana-4535	40	11	neighborhood	neighborhood	NOUN
cana-4535	40	12	pixel	pixel	NOUN
cana-4535	40	13	and	and	CCONJ
cana-4535	40	14	gives	give	VERB
cana-4535	40	15	a	a	DET
cana-4535	40	16	binary	binary	ADJ
cana-4535	40	17	code	code	NOUN
cana-4535	40	18	either	either	CCONJ
cana-4535	40	19	zero	zero	NUM
cana-4535	40	20	or	or	CCONJ
cana-4535	40	21	one	one	NUM
cana-4535	40	22	but	but	CCONJ
cana-4535	40	23	in	in	ADP
cana-4535	40	24	fuzzy	fuzzy	ADJ
cana-4535	40	25	local	local	ADJ
cana-4535	40	26	binary	binary	ADJ
cana-4535	40	27	pattern	pattern	NOUN
cana-4535	40	28	it	it	PRON
cana-4535	40	29	compare	compare	VERB
cana-4535	40	30	with	with	ADP
cana-4535	40	31	the	the	DET
cana-4535	40	32	neighborhood	neighborhood	NOUN
cana-4535	40	33	pixel	pixel	NOUN
cana-4535	40	34	and	and	CCONJ
cana-4535	40	35	gives	give	VERB
cana-4535	40	36	the	the	DET
cana-4535	40	37	value	value	NOUN
cana-4535	40	38	in	in	ADP
cana-4535	40	39	between	between	ADP
cana-4535	40	40	0	0	NUM
cana-4535	40	41	to	to	ADP
cana-4535	40	42	1	1	NUM
cana-4535	40	43	depending	depend	VERB
cana-4535	40	44	up	up	ADP
cana-4535	40	45	on	on	ADP
cana-4535	40	46	the	the	DET
cana-4535	40	47	degree	degree	NOUN
cana-4535	40	48	of	of	ADP
cana-4535	40	49	existence	existence	NOUN
cana-4535	40	50	.	.	PUNCT
cana-4535	41	1	kaya	kaya	PROPN
cana-4535	41	2	burhan	burhan	PROPN
cana-4535	42	1	[	[	X
cana-4535	42	2	7	7	X
cana-4535	42	3	]	]	PUNCT
cana-4535	42	4	found	find	VERB
cana-4535	42	5	new	new	ADJ
cana-4535	42	6	method	method	NOUN
cana-4535	42	7	of	of	ADP
cana-4535	42	8	edge	edge	NOUN
cana-4535	42	9	detection	detection	NOUN
cana-4535	42	10	based	base	VERB
cana-4535	42	11	on	on	ADP
cana-4535	42	12	reflectance	reflectance	NOUN
cana-4535	42	13	transformation	transformation	NOUN
cana-4535	42	14	imaging	imaging	NOUN
cana-4535	42	15	photographing	photograph	VERB
cana-4535	42	16	,	,	PUNCT
cana-4535	42	17	that	that	PRON
cana-4535	42	18	is	be	AUX
cana-4535	42	19	several	several	ADJ
cana-4535	42	20	images	image	NOUN
cana-4535	42	21	captured	capture	VERB
cana-4535	42	22	at	at	ADP
cana-4535	42	23	fixed	fix	VERB
cana-4535	42	24	position	position	NOUN
cana-4535	42	25	with	with	ADP
cana-4535	42	26	different	different	ADJ
cana-4535	42	27	lighting	lighting	NOUN
cana-4535	42	28	.	.	PUNCT
cana-4535	43	1	canny	canny	ADJ
cana-4535	43	2	edge	edge	NOUN
cana-4535	43	3	detection	detection	NOUN
cana-4535	43	4	operator	operator	NOUN
cana-4535	43	5	is	be	AUX
cana-4535	43	6	a	a	DET
cana-4535	43	7	classical	classical	ADJ
cana-4535	43	8	operator	operator	NOUN
cana-4535	43	9	for	for	ADP
cana-4535	43	10	edge	edge	NOUN
cana-4535	43	11	detection	detection	NOUN
cana-4535	43	12	but	but	CCONJ
cana-4535	43	13	it	it	PRON
cana-4535	43	14	fails	fail	VERB
cana-4535	43	15	when	when	SCONJ
cana-4535	43	16	noise	noise	NOUN
cana-4535	43	17	appeared	appear	VERB
cana-4535	43	18	in	in	ADP
cana-4535	43	19	image	image	NOUN
cana-4535	43	20	like	like	ADP
cana-4535	43	21	salt	salt	NOUN
cana-4535	43	22	and	and	CCONJ
cana-4535	43	23	pepper	pepper	NOUN
cana-4535	43	24	noise	noise	NOUN
cana-4535	43	25	.	.	PUNCT
cana-4535	44	1	yibo	yibo	PROPN
cana-4535	44	2	li	li	PROPN
cana-4535	45	1	[	[	X
cana-4535	45	2	8	8	NUM
cana-4535	45	3	]	]	PUNCT
cana-4535	45	4	introduced	introduce	VERB
cana-4535	45	5	a	a	DET
cana-4535	45	6	new	new	ADJ
cana-4535	45	7	improve	improve	VERB
cana-4535	45	8	canny	canny	ADJ
cana-4535	45	9	edge	edge	NOUN
cana-4535	45	10	detection	detection	NOUN
cana-4535	45	11	operator	operator	NOUN
cana-4535	45	12	to	to	PART
cana-4535	45	13	solve	solve	VERB
cana-4535	45	14	such	such	ADJ
cana-4535	45	15	type	type	NOUN
cana-4535	45	16	of	of	ADP
cana-4535	45	17	noise	noise	NOUN
cana-4535	45	18	appearance	appearance	NOUN
cana-4535	45	19	.	.	PUNCT
cana-4535	46	1	zeng	zeng	PROPN
cana-4535	47	1	[	[	X
cana-4535	47	2	12	12	NUM
cana-4535	47	3	]	]	PUNCT
cana-4535	47	4	introduced	introduce	VERB
cana-4535	47	5	a	a	DET
cana-4535	47	6	new	new	ADJ
cana-4535	47	7	method	method	NOUN
cana-4535	47	8	h	h	NOUN
cana-4535	47	9	-	-	PUNCT
cana-4535	47	10	lbp	lbp	ADJ
cana-4535	47	11	(	(	PUNCT
cana-4535	47	12	hyperboliclocal	hyperboliclocal	ADJ
cana-4535	47	13	binary	binary	ADJ
cana-4535	47	14	pattern	pattern	NOUN
cana-4535	47	15	)	)	PUNCT
cana-4535	47	16	with	with	ADP
cana-4535	47	17	the	the	DET
cana-4535	47	18	help	help	NOUN
cana-4535	47	19	of	of	ADP
cana-4535	47	20	arctan	arctan	PROPN
cana-4535	47	21	function	function	VERB
cana-4535	47	22	a	a	DET
cana-4535	47	23	new	new	ADJ
cana-4535	47	24	h	h	NOUN
cana-4535	47	25	function	function	NOUN
cana-4535	47	26	is	be	AUX
cana-4535	47	27	introduced	introduce	VERB
cana-4535	47	28	in	in	ADP
cana-4535	47	29	lbp	lbp	NOUN
cana-4535	47	30	.	.	PUNCT
cana-4535	48	1	unlike	unlike	ADP
cana-4535	48	2	normal	normal	ADJ
cana-4535	48	3	lbp	lbp	NOUN
cana-4535	48	4	,	,	PUNCT
cana-4535	48	5	h	h	NOUN
cana-4535	48	6	-	-	PUNCT
cana-4535	48	7	lbp	lbp	NOUN
cana-4535	48	8	gives	give	VERB
cana-4535	48	9	more	more	ADJ
cana-4535	48	10	bounce	bounce	NOUN
cana-4535	48	11	.	.	PUNCT
cana-4535	49	1	in	in	ADP
cana-4535	49	2	this	this	DET
cana-4535	49	3	h	h	NOUN
cana-4535	49	4	-	-	PUNCT
cana-4535	49	5	lbp	lbp	PROPN
cana-4535	49	6	,	,	PUNCT
cana-4535	49	7	lbp	lbp	PROPN
cana-4535	49	8	value	value	NOUN
cana-4535	49	9	gives	give	VERB
cana-4535	49	10	larger	large	ADJ
cana-4535	49	11	value	value	NOUN
cana-4535	49	12	for	for	ADP
cana-4535	49	13	the	the	DET
cana-4535	49	14	pixel	pixel	NOUN
cana-4535	49	15	having	have	VERB
cana-4535	49	16	maximum	maximum	ADJ
cana-4535	49	17	intensity	intensity	NOUN
cana-4535	49	18	value	value	NOUN
cana-4535	49	19	and	and	CCONJ
cana-4535	49	20	minimum	minimum	NOUN
cana-4535	49	21	value	value	NOUN
cana-4535	49	22	for	for	ADP
cana-4535	49	23	the	the	DET
cana-4535	49	24	pixel	pixel	NOUN
cana-4535	49	25	having	have	VERB
cana-4535	49	26	minimum	minimum	ADJ
cana-4535	49	27	intensity	intensity	NOUN
cana-4535	49	28	value	value	NOUN
cana-4535	49	29	.	.	PUNCT
cana-4535	50	1	nakharacruangsak	nakharacruangsak	PROPN
cana-4535	51	1	[	[	X
cana-4535	51	2	10	10	NUM
cana-4535	51	3	]	]	PUNCT
cana-4535	51	4	introduced	introduce	VERB
cana-4535	51	5	a	a	DET
cana-4535	51	6	method	method	NOUN
cana-4535	51	7	in	in	ADP
cana-4535	51	8	which	which	PRON
cana-4535	51	9	binary	binary	ADJ
cana-4535	51	10	matrix	matrix	NOUN
cana-4535	51	11	is	be	AUX
cana-4535	51	12	multiplied	multiply	VERB
cana-4535	51	13	with	with	ADP
cana-4535	51	14	hyperbolic	hyperbolic	ADJ
cana-4535	51	15	tanh	tanh	NOUN
cana-4535	51	16	.	.	PUNCT
cana-4535	52	1	it	it	PRON
cana-4535	52	2	gives	give	VERB
cana-4535	52	3	smooth	smooth	ADJ
cana-4535	52	4	results	result	NOUN
cana-4535	52	5	when	when	SCONJ
cana-4535	52	6	compared	compare	VERB
cana-4535	52	7	to	to	ADP
cana-4535	52	8	h	h	NOUN
cana-4535	52	9	-	-	PUNCT
cana-4535	52	10	lbp	lbp	NOUN
cana-4535	52	11	.	.	PUNCT
cana-4535	53	1	katsigiannis	katsigiannis	PROPN
cana-4535	54	1	[	[	X
cana-4535	54	2	13	13	NUM
cana-4535	54	3	]	]	PUNCT
cana-4535	54	4	introduced	introduce	VERB
cana-4535	54	5	fuzzy	fuzzy	ADJ
cana-4535	54	6	local	local	ADJ
cana-4535	54	7	binary	binary	ADJ
cana-4535	54	8	pattern	pattern	NOUN
cana-4535	54	9	descending	descend	VERB
cana-4535	54	10	membership	membership	NOUN
cana-4535	54	11	function	function	NOUN
cana-4535	54	12	lbp	lbp	NOUN
cana-4535	54	13	and	and	CCONJ
cana-4535	54	14	contribution	contribution	NOUN
cana-4535	54	15	lbp	lbp	NOUN
cana-4535	54	16	codes	code	NOUN
cana-4535	54	17	are	be	AUX
cana-4535	54	18	calculated	calculate	VERB
cana-4535	54	19	.	.	PUNCT
cana-4535	55	1	it	it	PRON
cana-4535	55	2	also	also	ADV
cana-4535	55	3	provides	provide	VERB
cana-4535	55	4	a	a	DET
cana-4535	55	5	fine	fine	ADJ
cana-4535	55	6	result	result	NOUN
cana-4535	55	7	compared	compare	VERB
cana-4535	55	8	to	to	ADP
cana-4535	55	9	previous	previous	ADJ
cana-4535	55	10	existing	exist	VERB
cana-4535	55	11	methods	method	NOUN
cana-4535	55	12	.	.	PUNCT
cana-4535	56	1	all	all	DET
cana-4535	56	2	these	these	DET
cana-4535	56	3	methods	method	NOUN
cana-4535	56	4	failed	fail	VERB
cana-4535	56	5	to	to	PART
cana-4535	56	6	detect	detect	VERB
cana-4535	56	7	edges	edge	NOUN
cana-4535	56	8	in	in	ADP
cana-4535	56	9	low	low	ADJ
cana-4535	56	10	contrast	contrast	NOUN
cana-4535	56	11	images	image	NOUN
cana-4535	56	12	and	and	CCONJ
cana-4535	56	13	broken	broken	ADJ
cana-4535	56	14	edges	edge	NOUN
cana-4535	56	15	.	.	PUNCT
cana-4535	57	1	fractional	fractional	ADJ
cana-4535	57	2	derivative	derivative	NOUN
cana-4535	57	3	,	,	PUNCT
cana-4535	57	4	in	in	ADP
cana-4535	57	5	other	other	ADJ
cana-4535	57	6	words	word	NOUN
cana-4535	57	7	,	,	PUNCT
cana-4535	57	8	a	a	DET
cana-4535	57	9	non	non	ADJ
cana-4535	57	10	-	-	ADJ
cana-4535	57	11	integer	integer	ADJ
cana-4535	57	12	order	order	NOUN
cana-4535	57	13	derivative	derivative	NOUN
cana-4535	57	14	has	have	AUX
cana-4535	57	15	played	play	VERB
cana-4535	57	16	a	a	DET
cana-4535	57	17	crucial	crucial	ADJ
cana-4535	57	18	road	road	NOUN
cana-4535	57	19	in	in	ADP
cana-4535	57	20	past	past	ADJ
cana-4535	57	21	two	two	NUM
cana-4535	57	22	decades	decade	NOUN
cana-4535	57	23	in	in	ADP
cana-4535	57	24	various	various	ADJ
cana-4535	57	25	fields	field	NOUN
cana-4535	57	26	like	like	ADP
cana-4535	57	27	physical	physical	ADJ
cana-4535	57	28	science	science	NOUN
cana-4535	57	29	,	,	PUNCT
cana-4535	57	30	chemical	chemical	NOUN
cana-4535	57	31	science	science	NOUN
cana-4535	57	32	,	,	PUNCT
cana-4535	57	33	biology	biology	NOUN
cana-4535	57	34	and	and	CCONJ
cana-4535	57	35	image	image	NOUN
cana-4535	57	36	processing	processing	NOUN
cana-4535	57	37	etc	etc	X
cana-4535	57	38	.	.	X
cana-4535	58	1	in	in	ADP
cana-4535	58	2	image	image	NOUN
cana-4535	58	3	processing	processing	NOUN
cana-4535	58	4	,	,	PUNCT
cana-4535	58	5	edge	edge	NOUN
cana-4535	58	6	detection	detection	NOUN
cana-4535	58	7	is	be	AUX
cana-4535	58	8	a	a	DET
cana-4535	58	9	bottom	bottom	ADJ
cana-4535	58	10	level	level	NOUN
cana-4535	58	11	process	process	NOUN
cana-4535	58	12	and	and	CCONJ
cana-4535	58	13	it	it	PRON
cana-4535	58	14	is	be	AUX
cana-4535	58	15	done	do	VERB
cana-4535	58	16	probably	probably	ADV
cana-4535	58	17	by	by	ADP
cana-4535	58	18	the	the	DET
cana-4535	58	19	use	use	NOUN
cana-4535	58	20	of	of	ADP
cana-4535	58	21	integer	integer	NOUN
cana-4535	58	22	order	order	NOUN
cana-4535	58	23	derivative	derivative	ADJ
cana-4535	58	24	operators	operator	NOUN
cana-4535	58	25	.	.	PUNCT
cana-4535	59	1	compared	compare	VERB
cana-4535	59	2	to	to	ADP
cana-4535	59	3	the	the	DET
cana-4535	59	4	integer	integer	NOUN
cana-4535	59	5	order	order	NOUN
cana-4535	59	6	derivative	derivative	ADJ
cana-4535	59	7	mask	mask	NOUN
cana-4535	59	8	operator	operator	NOUN
cana-4535	59	9	a	a	DET
cana-4535	59	10	noninteger	noninteger	NOUN
cana-4535	59	11	order	order	NOUN
cana-4535	59	12	derivative	derivative	ADJ
cana-4535	59	13	mask	mask	NOUN
cana-4535	59	14	operator	operator	NOUN
cana-4535	59	15	detects	detect	NOUN
cana-4535	59	16	thin	thin	ADJ
cana-4535	59	17	edges	edge	NOUN
cana-4535	59	18	also	also	ADV
cana-4535	59	19	.	.	PUNCT
cana-4535	60	1	in	in	ADP
cana-4535	60	2	this	this	DET
cana-4535	60	3	paper	paper	NOUN
cana-4535	60	4	,	,	PUNCT
cana-4535	60	5	four	four	NUM
cana-4535	60	6	different	different	ADJ
cana-4535	60	7	fuzzy	fuzzy	ADJ
cana-4535	60	8	membership	membership	NOUN
cana-4535	60	9	functions	function	NOUN
cana-4535	60	10	used	use	VERB
cana-4535	60	11	to	to	ADP
cana-4535	60	12	finding	find	VERB
cana-4535	60	13	edge	edge	NOUN
cana-4535	60	14	image	image	NOUN
cana-4535	60	15	by	by	ADP
cana-4535	60	16	fuzzy	fuzzy	ADJ
cana-4535	60	17	local	local	ADJ
cana-4535	60	18	binary	binary	NOUN
cana-4535	60	19	pattern	pattern	NOUN
cana-4535	60	20	.	.	PUNCT
cana-4535	61	1	four	four	NUM
cana-4535	61	2	membership	membership	NOUN
cana-4535	61	3	functions	function	NOUN
cana-4535	61	4	are	be	AUX
cana-4535	61	5	tested	test	VERB
cana-4535	61	6	with	with	ADP
cana-4535	61	7	every	every	DET
cana-4535	61	8	pixel	pixel	NOUN
cana-4535	61	9	and	and	CCONJ
cana-4535	61	10	entropies	entropy	NOUN
cana-4535	61	11	are	be	AUX
cana-4535	61	12	calculated	calculate	VERB
cana-4535	61	13	.	.	PUNCT
cana-4535	62	1	membership	membership	NOUN
cana-4535	62	2	function	function	NOUN
cana-4535	62	3	having	have	VERB
cana-4535	62	4	maximum	maximum	ADJ
cana-4535	62	5	entropy	entropy	NOUN
cana-4535	62	6	is	be	AUX
cana-4535	62	7	the	the	DET
cana-4535	62	8	best	good	ADJ
cana-4535	62	9	membership	membership	NOUN
cana-4535	62	10	function	function	NOUN
cana-4535	62	11	for	for	ADP
cana-4535	62	12	the	the	DET
cana-4535	62	13	concern	concern	NOUN
cana-4535	62	14	pixel	pixel	PROPN
cana-4535	62	15	.	.	PUNCT
cana-4535	63	1	then	then	ADV
cana-4535	63	2	,	,	PUNCT
cana-4535	63	3	instead	instead	ADV
cana-4535	63	4	of	of	ADP
cana-4535	63	5	using	use	VERB
cana-4535	63	6	normal	normal	ADJ
cana-4535	63	7	weightage	weightage	NOUN
cana-4535	63	8	matrix	matrix	NOUN
cana-4535	63	9	fractional	fractional	ADJ
cana-4535	63	10	gradient	gradient	NOUN
cana-4535	63	11	of	of	ADP
cana-4535	63	12	the	the	DET
cana-4535	63	13	concern	concern	NOUN
cana-4535	63	14	pixel	pixel	PROPN
cana-4535	63	15	is	be	AUX
cana-4535	63	16	used	use	VERB
cana-4535	63	17	as	as	ADP
cana-4535	63	18	weightage	weightage	NOUN
cana-4535	63	19	matrix	matrix	NOUN
cana-4535	63	20	.	.	PUNCT
cana-4535	64	1	the	the	DET
cana-4535	64	2	same	same	ADJ
cana-4535	64	3	procedure	procedure	NOUN
cana-4535	64	4	is	be	AUX
cana-4535	64	5	done	do	VERB
cana-4535	64	6	for	for	ADP
cana-4535	64	7	all	all	DET
cana-4535	64	8	the	the	DET
cana-4535	64	9	pixel	pixel	NOUN
cana-4535	64	10	and	and	CCONJ
cana-4535	64	11	the	the	DET
cana-4535	64	12	membership	membership	NOUN
cana-4535	64	13	function	function	NOUN
cana-4535	64	14	having	have	VERB
cana-4535	64	15	maximum	maximum	ADJ
cana-4535	64	16	entropy	entropy	NOUN
cana-4535	64	17	selected	select	VERB
cana-4535	64	18	for	for	ADP
cana-4535	64	19	all	all	DET
cana-4535	64	20	pixels	pixel	NOUN
cana-4535	64	21	.	.	PUNCT
cana-4535	65	1	consolidate	consolidate	VERB
cana-4535	65	2	all	all	DET
cana-4535	65	3	the	the	DET
cana-4535	65	4	pixel	pixel	PROPN
cana-4535	65	5	values	value	NOUN
cana-4535	65	6	and	and	CCONJ
cana-4535	65	7	get	get	VERB
cana-4535	65	8	better	well	ADJ
cana-4535	65	9	edge	edge	NOUN
cana-4535	65	10	image	image	NOUN
cana-4535	65	11	of	of	ADP
cana-4535	65	12	the	the	DET
cana-4535	65	13	input	input	NOUN
cana-4535	65	14	image	image	NOUN
cana-4535	65	15	.	.	PUNCT
cana-4535	66	1	section	section	NOUN
cana-4535	66	2	2	2	NUM
cana-4535	66	3	describes	describe	VERB
cana-4535	66	4	the	the	DET
cana-4535	66	5	basic	basic	ADJ
cana-4535	66	6	theory	theory	NOUN
cana-4535	66	7	of	of	ADP
cana-4535	66	8	fuzzy	fuzzy	ADJ
cana-4535	66	9	set	set	NOUN
cana-4535	66	10	and	and	CCONJ
cana-4535	66	11	lbp	lbp	NOUN
cana-4535	66	12	.	.	PUNCT
cana-4535	67	1	in	in	ADP
cana-4535	67	2	section	section	NOUN
cana-4535	67	3	3	3	NUM
cana-4535	67	4	,	,	PUNCT
cana-4535	67	5	steps	step	NOUN
cana-4535	67	6	involved	involve	VERB
cana-4535	67	7	in	in	ADP
cana-4535	67	8	this	this	DET
cana-4535	67	9	proposed	propose	VERB
cana-4535	67	10	study	study	NOUN
cana-4535	67	11	have	have	AUX
cana-4535	67	12	been	be	AUX
cana-4535	67	13	presented	present	VERB
cana-4535	67	14	.	.	PUNCT
cana-4535	68	1	the	the	DET
cana-4535	68	2	experimental	experimental	ADJ
cana-4535	68	3	output	output	NOUN
cana-4535	68	4	is	be	AUX
cana-4535	68	5	discussed	discuss	VERB
cana-4535	68	6	in	in	ADP
cana-4535	68	7	section	section	NOUN
cana-4535	68	8	4	4	NUM
cana-4535	68	9	by	by	ADP
cana-4535	68	10	both	both	CCONJ
cana-4535	68	11	qualitative	qualitative	NOUN
cana-4535	68	12	and	and	CCONJ
cana-4535	68	13	communications	communication	NOUN
cana-4535	68	14	on	on	ADP
cana-4535	68	15	applied	apply	VERB
cana-4535	68	16	nonlinear	nonlinear	ADJ
cana-4535	68	17	analysis	analysis	NOUN
cana-4535	68	18	issn	issn	NOUN
cana-4535	68	19	:	:	PUNCT
cana-4535	68	20	1074	1074	NUM
cana-4535	68	21	-	-	PUNCT
cana-4535	68	22	133x	133x	NUM
cana-4535	68	23	vol	vol	NOUN
cana-4535	68	24	32	32	NUM
cana-4535	69	1	no	no	NOUN
cana-4535	69	2	.	.	PUNCT
cana-4535	70	1	9s	9s	NUM
cana-4535	70	2	(	(	PUNCT
cana-4535	70	3	2025	2025	NUM
cana-4535	70	4	)	)	PUNCT
cana-4535	70	5	2456	2456	NUM
cana-4535	70	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4535	70	7	quantitative	quantitative	ADJ
cana-4535	70	8	assessment	assessment	NOUN
cana-4535	70	9	with	with	ADP
cana-4535	70	10	the	the	DET
cana-4535	70	11	existing	exist	VERB
cana-4535	70	12	methods	method	NOUN
cana-4535	70	13	used	use	VERB
cana-4535	70	14	in	in	ADP
cana-4535	70	15	practice	practice	NOUN
cana-4535	70	16	.	.	PUNCT
cana-4535	71	1	finally	finally	ADV
cana-4535	71	2	in	in	ADP
cana-4535	71	3	section	section	NOUN
cana-4535	71	4	5	5	NUM
cana-4535	71	5	conclusion	conclusion	NOUN
cana-4535	71	6	have	have	AUX
cana-4535	71	7	been	be	AUX
cana-4535	71	8	drawn	draw	VERB
cana-4535	71	9	.	.	PUNCT
cana-4535	72	1	2	2	X
cana-4535	72	2	.	.	X
cana-4535	72	3	preliminary	preliminary	ADJ
cana-4535	72	4	in	in	ADP
cana-4535	72	5	this	this	DET
cana-4535	72	6	section	section	NOUN
cana-4535	72	7	some	some	DET
cana-4535	72	8	basic	basic	ADJ
cana-4535	72	9	concepts	concept	NOUN
cana-4535	72	10	which	which	PRON
cana-4535	72	11	are	be	AUX
cana-4535	72	12	used	use	VERB
cana-4535	72	13	in	in	ADP
cana-4535	72	14	this	this	DET
cana-4535	72	15	paper	paper	NOUN
cana-4535	72	16	has	have	AUX
cana-4535	72	17	been	be	AUX
cana-4535	72	18	described	describe	VERB
cana-4535	72	19	below	below	ADV
cana-4535	72	20	.	.	PUNCT
cana-4535	73	1	it	it	PRON
cana-4535	73	2	helps	help	VERB
cana-4535	73	3	to	to	PART
cana-4535	73	4	understand	understand	VERB
cana-4535	73	5	the	the	DET
cana-4535	73	6	concepts	concept	NOUN
cana-4535	73	7	.	.	PUNCT
cana-4535	74	1	2.1	2.1	NUM
cana-4535	74	2	fuzzy	fuzzy	NOUN
cana-4535	74	3	set	set	VERB
cana-4535	74	4	a	a	DET
cana-4535	74	5	fuzzy	fuzzy	ADJ
cana-4535	74	6	set	set	NOUN
cana-4535	74	7	is	be	AUX
cana-4535	74	8	mathematically	mathematically	ADV
cana-4535	74	9	defined	define	VERB
cana-4535	74	10	by	by	ADP
cana-4535	74	11	𝑃	𝑃	NOUN
cana-4535	74	12	=	=	SYM
cana-4535	74	13	{	{	PUNCT
cana-4535	74	14	<	<	X
cana-4535	74	15	𝑥𝑖𝑗	𝑥𝑖𝑗	PROPN
cana-4535	74	16	𝜇𝑃(𝑥𝑖𝑗	𝜇𝑃(𝑥𝑖𝑗	PROPN
cana-4535	74	17	)	)	PUNCT
cana-4535	74	18	>	>	X
cana-4535	74	19	|∀𝑥𝑖𝑗	|∀𝑥𝑖𝑗	PROPN
cana-4535	74	20	∈	∈	PROPN
cana-4535	74	21	𝑃	𝑃	NOUN
cana-4535	74	22	,	,	PUNCT
cana-4535	74	23	1	1	NUM
cana-4535	74	24	≤	≤	NUM
cana-4535	74	25	𝑖	𝑖	PUNCT
cana-4535	74	26	≤	≤	NOUN
cana-4535	74	27	𝑚	𝑚	ADP
cana-4535	74	28	,	,	PUNCT
cana-4535	74	29	1	1	NUM
cana-4535	74	30	≤	≤	NUM
cana-4535	74	31	𝑗	𝑗	PRON
cana-4535	74	32	≤	≤	NUM
cana-4535	74	33	𝑛	𝑛	NOUN
cana-4535	74	34	,	,	PUNCT
cana-4535	74	35	}	}	PUNCT
cana-4535	74	36	where	where	SCONJ
cana-4535	74	37	𝑃	𝑃	NOUN
cana-4535	74	38	is	be	AUX
cana-4535	74	39	an	an	DET
cana-4535	74	40	input	input	NOUN
cana-4535	74	41	image	image	NOUN
cana-4535	74	42	of	of	ADP
cana-4535	74	43	size	size	NOUN
cana-4535	74	44	𝑚	𝑚	PROPN
cana-4535	74	45	×	×	NOUN
cana-4535	74	46	𝑛	𝑛	ADJ
cana-4535	74	47	and	and	CCONJ
cana-4535	74	48	𝜇𝑃(𝑥𝑖𝑗	𝜇𝑃(𝑥𝑖𝑗	ADJ
cana-4535	74	49	)	)	PUNCT
cana-4535	74	50	is	be	AUX
cana-4535	74	51	a	a	DET
cana-4535	74	52	fuzzy	fuzzy	ADJ
cana-4535	74	53	membership	membership	NOUN
cana-4535	74	54	function	function	NOUN
cana-4535	74	55	from	from	ADP
cana-4535	74	56	the	the	DET
cana-4535	74	57	image	image	NOUN
cana-4535	74	58	𝑃	𝑃	VERB
cana-4535	74	59	to	to	ADP
cana-4535	74	60	[	[	X
cana-4535	74	61	0,1	0,1	NUM
cana-4535	74	62	]	]	PUNCT
cana-4535	74	63	and	and	CCONJ
cana-4535	74	64	it	it	PRON
cana-4535	74	65	gives	give	VERB
cana-4535	74	66	the	the	DET
cana-4535	74	67	degree	degree	NOUN
cana-4535	74	68	of	of	ADP
cana-4535	74	69	belongingness	belongingness	NOUN
cana-4535	74	70	of	of	ADP
cana-4535	74	71	the	the	DET
cana-4535	74	72	element	element	NOUN
cana-4535	74	73	𝑥𝑖𝑗	𝑥𝑖𝑗	PROPN
cana-4535	74	74	in	in	ADP
cana-4535	74	75	p	p	PROPN
cana-4535	74	76	and	and	CCONJ
cana-4535	74	77	1	1	NUM
cana-4535	74	78	−	−	NOUN
cana-4535	74	79	𝜇𝑃(𝑥𝑖𝑗	𝜇𝑃(𝑥𝑖𝑗	ADJ
cana-4535	74	80	)	)	PUNCT
cana-4535	74	81	is	be	AUX
cana-4535	74	82	represent	represent	VERB
cana-4535	74	83	non	non	ADJ
cana-4535	74	84	-	-	NOUN
cana-4535	74	85	membership	membership	NOUN
cana-4535	75	1	and	and	CCONJ
cana-4535	75	2	it	it	PRON
cana-4535	75	3	is	be	AUX
cana-4535	75	4	denoted	denote	VERB
cana-4535	75	5	by	by	ADP
cana-4535	75	6	𝜏𝑃(𝑥𝑖𝑗	𝜏𝑃(𝑥𝑖𝑗	NOUN
cana-4535	75	7	)	)	PUNCT
cana-4535	75	8	with	with	ADP
cana-4535	75	9	0	0	NUM
cana-4535	75	10	≤	≤	NUM
cana-4535	75	11	𝜇𝑃(𝑥𝑖𝑗	𝜇𝑃(𝑥𝑖𝑗	ADJ
cana-4535	75	12	)	)	PUNCT
cana-4535	75	13	+	+	CCONJ
cana-4535	75	14	𝜏𝑃(𝑥𝑖𝑗	𝜏𝑃(𝑥𝑖𝑗	NOUN
cana-4535	75	15	)	)	PUNCT
cana-4535	75	16	≤	≤	NUM
cana-4535	75	17	1	1	NUM
cana-4535	75	18	.	.	X
cana-4535	75	19	2.2	2.2	NUM
cana-4535	75	20	local	local	ADJ
cana-4535	75	21	binary	binary	NOUN
cana-4535	75	22	pattern	pattern	NOUN
cana-4535	75	23	local	local	ADJ
cana-4535	75	24	binary	binary	ADJ
cana-4535	75	25	pattern	pattern	NOUN
cana-4535	75	26	produces	produce	VERB
cana-4535	75	27	a	a	DET
cana-4535	75	28	binary	binary	ADJ
cana-4535	75	29	matrix	matrix	NOUN
cana-4535	75	30	by	by	ADP
cana-4535	75	31	examining	examine	VERB
cana-4535	75	32	the	the	DET
cana-4535	75	33	neighbourhood	neighbourhood	NOUN
cana-4535	75	34	pixel	pixel	NOUN
cana-4535	75	35	values	value	NOUN
cana-4535	75	36	to	to	ADP
cana-4535	75	37	the	the	DET
cana-4535	75	38	center	center	NOUN
cana-4535	75	39	pixel	pixel	NOUN
cana-4535	75	40	value	value	NOUN
cana-4535	75	41	.	.	PUNCT
cana-4535	76	1	if	if	SCONJ
cana-4535	76	2	the	the	DET
cana-4535	76	3	neighbourhood	neighbourhood	NOUN
cana-4535	76	4	pixel	pixel	NOUN
cana-4535	76	5	value	value	NOUN
cana-4535	76	6	is	be	AUX
cana-4535	76	7	larger	large	ADJ
cana-4535	76	8	than	than	ADP
cana-4535	76	9	the	the	DET
cana-4535	76	10	center	center	NOUN
cana-4535	76	11	pixel	pixel	NOUN
cana-4535	76	12	value	value	NOUN
cana-4535	76	13	then	then	ADV
cana-4535	76	14	the	the	DET
cana-4535	76	15	neighbourhood	neighbourhood	NOUN
cana-4535	76	16	pixel	pixel	NOUN
cana-4535	76	17	value	value	NOUN
cana-4535	76	18	is	be	AUX
cana-4535	76	19	replaced	replace	VERB
cana-4535	76	20	by	by	ADP
cana-4535	76	21	1	1	NUM
cana-4535	76	22	otherwise	otherwise	ADV
cana-4535	76	23	it	it	PRON
cana-4535	76	24	is	be	AUX
cana-4535	76	25	replaced	replace	VERB
cana-4535	76	26	by	by	ADP
cana-4535	76	27	0	0	NUM
cana-4535	76	28	.	.	PUNCT
cana-4535	77	1	then	then	ADV
cana-4535	77	2	,	,	PUNCT
cana-4535	77	3	the	the	DET
cana-4535	77	4	lbp	lbp	PROPN
cana-4535	77	5	code	code	PROPN
cana-4535	77	6	is	be	AUX
cana-4535	77	7	generated	generate	VERB
cana-4535	77	8	by	by	ADP
cana-4535	77	9	multiplying	multiply	VERB
cana-4535	77	10	the	the	DET
cana-4535	77	11	binary	binary	ADJ
cana-4535	77	12	matrix	matrix	NOUN
cana-4535	77	13	with	with	ADP
cana-4535	77	14	predefined	predefine	VERB
cana-4535	77	15	weightage	weightage	NOUN
cana-4535	77	16	matrix	matrix	NOUN
cana-4535	77	17	.	.	PUNCT
cana-4535	78	1	the	the	DET
cana-4535	78	2	process	process	NOUN
cana-4535	78	3	is	be	AUX
cana-4535	78	4	illustrated	illustrate	VERB
cana-4535	78	5	in	in	ADP
cana-4535	78	6	figure	figure	NOUN
cana-4535	78	7	1	1	NUM
cana-4535	78	8	.	.	PUNCT
cana-4535	79	1	𝐿𝐵𝑃	𝐿𝐵𝑃	PROPN
cana-4535	79	2	=	=	NOUN
cana-4535	79	3	∑𝑓(𝑝𝑖	∑𝑓(𝑝𝑖	NOUN
cana-4535	79	4	−	−	NOUN
cana-4535	79	5	𝑝𝑐	𝑝𝑐	NOUN
cana-4535	79	6	)	)	PUNCT
cana-4535	79	7	8	8	NUM
cana-4535	79	8	𝑖=1	𝑖=1	PROPN
cana-4535	79	9	∗	∗	NOUN
cana-4535	79	10	2𝑖−1	2𝑖−1	NUM
cana-4535	79	11	where	where	SCONJ
cana-4535	79	12	𝑝𝑐	𝑝𝑐	PROPN
cana-4535	79	13	denotes	denote	VERB
cana-4535	79	14	the	the	DET
cana-4535	79	15	center	center	NOUN
cana-4535	79	16	pixel	pixel	NOUN
cana-4535	79	17	and	and	CCONJ
cana-4535	79	18	𝑝𝑖	𝑝𝑖	NOUN
cana-4535	79	19	denotes	denote	NOUN
cana-4535	79	20	the	the	DET
cana-4535	79	21	surrounding	surround	VERB
cana-4535	79	22	pixel	pixel	NOUN
cana-4535	79	23	of	of	ADP
cana-4535	79	24	𝑝𝑐.	𝑝𝑐.	PROPN
cana-4535	79	25	in	in	ADP
cana-4535	79	26	this	this	DET
cana-4535	79	27	present	present	ADJ
cana-4535	79	28	work	work	NOUN
cana-4535	79	29	a	a	DET
cana-4535	79	30	new	new	ADJ
cana-4535	79	31	weightage	weightage	NOUN
cana-4535	79	32	matrix	matrix	NOUN
cana-4535	79	33	for	for	ADP
cana-4535	79	34	lpb	lpb	PROPN
cana-4535	79	35	have	have	AUX
cana-4535	79	36	been	be	AUX
cana-4535	79	37	presented	present	VERB
cana-4535	79	38	.	.	PUNCT
cana-4535	80	1	figure	figure	VERB
cana-4535	80	2	1	1	NUM
cana-4535	80	3	:	:	PUNCT
cana-4535	80	4	(	(	PUNCT
cana-4535	80	5	a	a	X
cana-4535	80	6	)	)	PUNCT
cana-4535	80	7	3×3	3×3	NUM
cana-4535	80	8	image	image	NOUN
cana-4535	80	9	matrix	matrix	NOUN
cana-4535	80	10	(	(	PUNCT
cana-4535	80	11	b	b	NOUN
cana-4535	80	12	)	)	PUNCT
cana-4535	80	13	binary	binary	ADJ
cana-4535	80	14	matrix	matrix	NOUN
cana-4535	80	15	produced	produce	VERB
cana-4535	80	16	by	by	ADP
cana-4535	80	17	lbp	lbp	PROPN
cana-4535	80	18	and	and	CCONJ
cana-4535	80	19	(	(	PUNCT
cana-4535	80	20	c	c	NOUN
cana-4535	80	21	)	)	PUNCT
cana-4535	80	22	weightage	weightage	NOUN
cana-4535	80	23	matrix	matrix	NOUN
cana-4535	80	24	3	3	NUM
cana-4535	80	25	.	.	PUNCT
cana-4535	81	1	algorithm	algorithm	PROPN
cana-4535	81	2	design	design	VERB
cana-4535	81	3	the	the	DET
cana-4535	81	4	steps	step	NOUN
cana-4535	81	5	involved	involve	VERB
cana-4535	81	6	in	in	ADP
cana-4535	81	7	the	the	DET
cana-4535	81	8	proposed	propose	VERB
cana-4535	81	9	work	work	NOUN
cana-4535	81	10	are	be	AUX
cana-4535	81	11	given	give	VERB
cana-4535	81	12	as	as	SCONJ
cana-4535	81	13	follows	follow	VERB
cana-4535	81	14	and	and	CCONJ
cana-4535	81	15	the	the	DET
cana-4535	81	16	schematic	schematic	ADJ
cana-4535	81	17	diagram	diagram	NOUN
cana-4535	81	18	of	of	ADP
cana-4535	81	19	this	this	DET
cana-4535	81	20	method	method	NOUN
cana-4535	81	21	is	be	AUX
cana-4535	81	22	shown	show	VERB
cana-4535	81	23	in	in	ADP
cana-4535	81	24	figure	figure	NOUN
cana-4535	81	25	2	2	NUM
cana-4535	81	26	.	.	PUNCT
cana-4535	81	27	step	step	NOUN
cana-4535	81	28	1	1	NUM
cana-4535	81	29	:	:	PUNCT
cana-4535	81	30	consider	consider	VERB
cana-4535	81	31	an	an	DET
cana-4535	81	32	image	image	NOUN
cana-4535	81	33	𝑃	𝑃	NOUN
cana-4535	81	34	of	of	ADP
cana-4535	81	35	size	size	NOUN
cana-4535	81	36	𝑚	𝑚	ADP
cana-4535	81	37	×	×	NOUN
cana-4535	81	38	𝑛.	𝑛.	NOUN
cana-4535	81	39	step	step	NOUN
cana-4535	81	40	2	2	NUM
cana-4535	81	41	:	:	PUNCT
cana-4535	81	42	for	for	ADP
cana-4535	81	43	each	each	DET
cana-4535	81	44	pixel	pixel	NOUN
cana-4535	81	45	with	with	ADP
cana-4535	81	46	its	its	PRON
cana-4535	81	47	neighbourhood	neighbourhood	NOUN
cana-4535	81	48	of	of	ADP
cana-4535	81	49	window	window	NOUN
cana-4535	81	50	size	size	NOUN
cana-4535	81	51	3×3	3×3	NUM
cana-4535	81	52	,	,	PUNCT
cana-4535	81	53	membership	membership	NOUN
cana-4535	81	54	window	window	NOUN
cana-4535	81	55	of	of	ADP
cana-4535	81	56	the	the	DET
cana-4535	81	57	concern	concern	NOUN
cana-4535	81	58	pixel	pixel	PROPN
cana-4535	81	59	are	be	AUX
cana-4535	81	60	computed	compute	VERB
cana-4535	81	61	using	use	VERB
cana-4535	81	62	the	the	DET
cana-4535	81	63	following	follow	VERB
cana-4535	81	64	four	four	NUM
cana-4535	81	65	different	different	ADJ
cana-4535	81	66	membership	membership	NOUN
cana-4535	81	67	functions	function	NOUN
cana-4535	81	68	.	.	PUNCT
cana-4535	82	1	communications	communication	NOUN
cana-4535	82	2	on	on	ADP
cana-4535	82	3	applied	apply	VERB
cana-4535	82	4	nonlinear	nonlinear	ADJ
cana-4535	82	5	analysis	analysis	NOUN
cana-4535	82	6	issn	issn	NOUN
cana-4535	82	7	:	:	PUNCT
cana-4535	82	8	1074	1074	NUM
cana-4535	82	9	-	-	PUNCT
cana-4535	82	10	133x	133x	NUM
cana-4535	82	11	vol	vol	NOUN
cana-4535	82	12	32	32	NUM
cana-4535	82	13	no	no	NOUN
cana-4535	82	14	.	.	PUNCT
cana-4535	83	1	9s	9s	NUM
cana-4535	83	2	(	(	PUNCT
cana-4535	83	3	2025	2025	NUM
cana-4535	83	4	)	)	PUNCT
cana-4535	83	5	2457	2457	NUM
cana-4535	84	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4535	84	2	figure	figure	NOUN
cana-4535	84	3	2	2	NUM
cana-4535	84	4	:	:	PUNCT
cana-4535	84	5	the	the	DET
cana-4535	84	6	schematic	schematic	ADJ
cana-4535	84	7	diagram	diagram	NOUN
cana-4535	84	8	of	of	ADP
cana-4535	84	9	the	the	DET
cana-4535	84	10	proposed	propose	VERB
cana-4535	84	11	method	method	NOUN
cana-4535	84	12	trapezoidal	trapezoidal	ADJ
cana-4535	84	13	membership	membership	NOUN
cana-4535	84	14	function	function	NOUN
cana-4535	84	15	is	be	AUX
cana-4535	84	16	defined	define	VERB
cana-4535	84	17	as	as	ADP
cana-4535	84	18	𝜇𝑃(𝑥	𝜇𝑃(𝑥	PROPN
cana-4535	84	19	)	)	PUNCT
cana-4535	84	20	=	=	PRON
cana-4535	84	21	{	{	PUNCT
cana-4535	84	22	0	0	NUM
cana-4535	85	1	𝑖𝑓	𝑖𝑓	NUM
cana-4535	86	1	𝑥≤𝑎	𝑥≤𝑎	PROPN
cana-4535	86	2	,	,	PUNCT
cana-4535	86	3	𝑥−𝑎	𝑥−𝑎	PROPN
cana-4535	86	4	𝑏−𝑎	𝑏−𝑎	PROPN
cana-4535	86	5	𝑖𝑓	𝑖𝑓	ADP
cana-4535	86	6	𝑎<𝑥≤𝑏	𝑎<𝑥≤𝑏	PROPN
cana-4535	86	7	,	,	PUNCT
cana-4535	86	8	1	1	NUM
cana-4535	86	9	𝑖𝑓	𝑖𝑓	ADP
cana-4535	86	10	𝑏<𝑥≤𝑐	𝑏<𝑥≤𝑐	PROPN
cana-4535	86	11	,	,	PUNCT
cana-4535	86	12	𝑑−𝑥	𝑑−𝑥	NOUN
cana-4535	86	13	𝑑−𝑐	𝑑−𝑐	NOUN
cana-4535	86	14	𝑖𝑓	𝑖𝑓	VERB
cana-4535	86	15	𝑐<𝑥<𝑑	𝑐<𝑥<𝑑	ADP
cana-4535	86	16	,	,	PUNCT
cana-4535	86	17	0	0	NUM
cana-4535	86	18	𝑖𝑓	𝑖𝑓	PROPN
cana-4535	86	19	𝑥≥𝑑	𝑥≥𝑑	PROPN
cana-4535	86	20	,	,	PUNCT
cana-4535	86	21	(	(	PUNCT
cana-4535	86	22	1	1	X
cana-4535	86	23	)	)	PUNCT
cana-4535	86	24	where	where	SCONJ
cana-4535	86	25	a	a	DET
cana-4535	86	26	,	,	PUNCT
cana-4535	86	27	b	b	NOUN
cana-4535	86	28	,	,	PUNCT
cana-4535	86	29	c	c	PROPN
cana-4535	86	30	and	and	CCONJ
cana-4535	86	31	d	d	PROPN
cana-4535	86	32	are	be	AUX
cana-4535	86	33	four	four	NUM
cana-4535	86	34	threshold	threshold	NOUN
cana-4535	86	35	values	value	NOUN
cana-4535	86	36	of	of	ADP
cana-4535	86	37	an	an	DET
cana-4535	86	38	image	image	NOUN
cana-4535	86	39	.	.	PUNCT
cana-4535	87	1	ascending	ascend	VERB
cana-4535	87	2	membership	membership	NOUN
cana-4535	87	3	function	function	NOUN
cana-4535	87	4	is	be	AUX
cana-4535	87	5	mathematically	mathematically	ADV
cana-4535	87	6	represented	represent	VERB
cana-4535	87	7	as	as	SCONJ
cana-4535	87	8	follows	follow	VERB
cana-4535	87	9	𝜇𝑃(𝑥	𝜇𝑃(𝑥	PROPN
cana-4535	87	10	)	)	PUNCT
cana-4535	87	11	=	=	PRON
cana-4535	87	12	{	{	PUNCT
cana-4535	88	1	1	1	NUM
cana-4535	88	2	𝑖𝑓	𝑖𝑓	NUM
cana-4535	88	3	𝑥𝑛𝑏ℎ𝑑	𝑥𝑛𝑏ℎ𝑑	NUM
cana-4535	88	4	−	−	PROPN
cana-4535	88	5	𝑥𝑐	𝑥𝑐	PROPN
cana-4535	88	6	≥	≥	NOUN
cana-4535	88	7	𝑇	𝑇	PROPN
cana-4535	88	8	,	,	PUNCT
cana-4535	88	9	𝑇	𝑇	PROPN
cana-4535	88	10	+	+	NUM
cana-4535	88	11	𝑥𝑛𝑏ℎ𝑑	𝑥𝑛𝑏ℎ𝑑	PROPN
cana-4535	88	12	−	−	PROPN
cana-4535	89	1	𝑥𝑐	𝑥𝑐	INTJ
cana-4535	89	2	2𝑇	2𝑇	PROPN
cana-4535	90	1	𝑖𝑓	𝑖𝑓	INTJ
cana-4535	90	2	|𝑥𝑛𝑏ℎ𝑑	|𝑥𝑛𝑏ℎ𝑑	NOUN
cana-4535	91	1	−	−	PROPN
cana-4535	91	2	𝑥𝑐|	𝑥𝑐|	PROPN
cana-4535	91	3	<	<	X
cana-4535	91	4	𝑇	𝑇	PROPN
cana-4535	91	5	,	,	PUNCT
cana-4535	91	6	0	0	NUM
cana-4535	92	1	𝑖𝑓	𝑖𝑓	NUM
cana-4535	92	2	𝑥𝑛𝑏ℎ𝑑	𝑥𝑛𝑏ℎ𝑑	NUM
cana-4535	92	3	−	−	PROPN
cana-4535	93	1	𝑥𝑐	𝑥𝑐	X
cana-4535	93	2	>	>	PUNCT
cana-4535	93	3	−𝑇	−𝑇	VERB
cana-4535	93	4	𝑇	𝑇	PROPN
cana-4535	93	5	≠	≠	PROPN
cana-4535	93	6	0	0	NUM
cana-4535	93	7	,	,	PUNCT
cana-4535	93	8	0	0	NUM
cana-4535	94	1	𝑖𝑓	𝑖𝑓	NUM
cana-4535	94	2	𝑥𝑛𝑏ℎ𝑑	𝑥𝑛𝑏ℎ𝑑	NUM
cana-4535	94	3	−	−	PROPN
cana-4535	95	1	𝑥𝑐	𝑥𝑐	ADP
cana-4535	95	2	<	<	X
cana-4535	95	3	−𝑇	−𝑇	VERB
cana-4535	95	4	𝑇	𝑇	PROPN
cana-4535	95	5	=	=	SYM
cana-4535	95	6	0	0	NUM
cana-4535	95	7	,	,	PUNCT
cana-4535	95	8	(	(	PUNCT
cana-4535	95	9	2	2	X
cana-4535	95	10	)	)	PUNCT
cana-4535	95	11	where	where	SCONJ
cana-4535	95	12	𝑥𝑐	𝑥𝑐	PROPN
cana-4535	95	13	is	be	AUX
cana-4535	95	14	center	center	ADJ
cana-4535	95	15	value	value	NOUN
cana-4535	95	16	of	of	ADP
cana-4535	95	17	the	the	DET
cana-4535	95	18	pixel	pixel	NOUN
cana-4535	95	19	,	,	PUNCT
cana-4535	95	20	𝑥𝑛𝑏ℎ𝑑	𝑥𝑛𝑏ℎ𝑑	PROPN
cana-4535	95	21	is	be	AUX
cana-4535	95	22	surrounding	surround	VERB
cana-4535	95	23	pixel	pixel	NOUN
cana-4535	95	24	and	and	CCONJ
cana-4535	95	25	t=15	t=15	VERB
cana-4535	95	26	[	[	X
cana-4535	95	27	13	13	NUM
cana-4535	95	28	]	]	PUNCT
cana-4535	95	29	.	.	PUNCT
cana-4535	96	1	gaussian	gaussian	ADJ
cana-4535	96	2	membership	membership	NOUN
cana-4535	96	3	function	function	NOUN
cana-4535	96	4	is	be	AUX
cana-4535	96	5	defined	define	VERB
cana-4535	96	6	as	as	ADP
cana-4535	96	7	𝜇𝑃(𝑥	𝜇𝑃(𝑥	PROPN
cana-4535	96	8	,	,	PUNCT
cana-4535	96	9	𝑥1	𝑥1	NOUN
cana-4535	96	10	,	,	PUNCT
cana-4535	96	11	𝑥2	𝑥2	NOUN
cana-4535	96	12	,	,	PUNCT
cana-4535	96	13	𝑥3	𝑥3	NOUN
cana-4535	96	14	)	)	PUNCT
cana-4535	97	1	=	=	PUNCT
cana-4535	97	2	𝑒𝑥𝑝	𝑒𝑥𝑝	INTJ
cana-4535	97	3	(	(	PUNCT
cana-4535	97	4	−	−	PROPN
cana-4535	97	5	1	1	NUM
cana-4535	97	6	2	2	NUM
cana-4535	97	7	(	(	PUNCT
cana-4535	97	8	𝑥	𝑥	PRON
cana-4535	97	9	−	−	PROPN
cana-4535	97	10	𝑥1	𝑥1	NOUN
cana-4535	97	11	𝑥2	𝑥2	NOUN
cana-4535	97	12	)	)	PUNCT
cana-4535	97	13	𝑥3	𝑥3	NOUN
cana-4535	97	14	)	)	PUNCT
cana-4535	97	15	(	(	PUNCT
cana-4535	97	16	3	3	X
cana-4535	97	17	)	)	PUNCT
cana-4535	97	18	where	where	SCONJ
cana-4535	97	19	𝑥1	𝑥1	NOUN
cana-4535	97	20	maximum	maximum	ADJ
cana-4535	97	21	gray	gray	ADJ
cana-4535	97	22	value	value	NOUN
cana-4535	97	23	,	,	PUNCT
cana-4535	97	24	𝑥2	𝑥2	NOUN
cana-4535	97	25	=	=	SYM
cana-4535	97	26	max	max	PROPN
cana-4535	97	27	(	(	PUNCT
cana-4535	97	28	𝑇	𝑇	PROPN
cana-4535	97	29	−	−	PROPN
cana-4535	97	30	�	�	PROPN
cana-4535	97	31	̅	̅	NOUN
cana-4535	97	32	�	�	PROPN
cana-4535	97	33	,	,	PUNCT
cana-4535	97	34	𝑥1	𝑥1	NOUN
cana-4535	97	35	−	−	PROPN
cana-4535	97	36	𝑇	𝑇	PROPN
cana-4535	97	37	)	)	PUNCT
cana-4535	97	38	where	where	SCONJ
cana-4535	97	39	t	t	PROPN
cana-4535	97	40	is	be	AUX
cana-4535	97	41	threshold	threshold	NOUN
cana-4535	97	42	value	value	NOUN
cana-4535	97	43	,	,	PUNCT
cana-4535	97	44	�	�	PROPN
cana-4535	97	45	̅	̅	NOUN
cana-4535	97	46	�	�	NOUN
cana-4535	97	47	is	be	AUX
cana-4535	97	48	average	average	ADJ
cana-4535	97	49	gray	gray	ADJ
cana-4535	97	50	value	value	NOUN
cana-4535	97	51	and	and	CCONJ
cana-4535	97	52	𝑥3=2	𝑥3=2	PROPN
cana-4535	98	1	[	[	X
cana-4535	98	2	14	14	NUM
cana-4535	98	3	]	]	PUNCT
cana-4535	98	4	.	.	PUNCT
cana-4535	99	1	communications	communication	NOUN
cana-4535	99	2	on	on	ADP
cana-4535	99	3	applied	apply	VERB
cana-4535	99	4	nonlinear	nonlinear	ADJ
cana-4535	99	5	analysis	analysis	NOUN
cana-4535	99	6	issn	issn	NOUN
cana-4535	99	7	:	:	PUNCT
cana-4535	99	8	1074	1074	NUM
cana-4535	99	9	-	-	PUNCT
cana-4535	99	10	133x	133x	NUM
cana-4535	99	11	vol	vol	NOUN
cana-4535	99	12	32	32	NUM
cana-4535	99	13	no	no	NOUN
cana-4535	99	14	.	.	PUNCT
cana-4535	100	1	9s	9s	NUM
cana-4535	100	2	(	(	PUNCT
cana-4535	100	3	2025	2025	NUM
cana-4535	100	4	)	)	PUNCT
cana-4535	100	5	2458	2458	NUM
cana-4535	100	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4535	100	7	triangular	triangular	NOUN
cana-4535	100	8	membership	membership	NOUN
cana-4535	100	9	function	function	NOUN
cana-4535	100	10	is	be	AUX
cana-4535	100	11	represented	represent	VERB
cana-4535	100	12	as	as	ADP
cana-4535	100	13	𝜇𝑃(𝑥	𝜇𝑃(𝑥	PROPN
cana-4535	100	14	)	)	PUNCT
cana-4535	100	15	=	=	PRON
cana-4535	100	16	{	{	PUNCT
cana-4535	101	1	0	0	NUM
cana-4535	101	2	𝑖𝑓	𝑖𝑓	ADP
cana-4535	101	3	𝑥	𝑥	NOUN
cana-4535	101	4	≤	≤	NUM
cana-4535	101	5	𝑎	𝑎	ADJ
cana-4535	101	6	,	,	PUNCT
cana-4535	101	7	𝑥	𝑥	PRON
cana-4535	101	8	−	−	PROPN
cana-4535	101	9	𝑎	𝑎	X
cana-4535	101	10	𝑏	𝑏	NOUN
cana-4535	101	11	−	−	PROPN
cana-4535	102	1	𝑎	𝑎	NOUN
cana-4535	102	2	𝑖𝑓	𝑖𝑓	NOUN
cana-4535	102	3	𝑎	𝑎	X
cana-4535	102	4	<	<	X
cana-4535	102	5	𝑥	𝑥	X
cana-4535	102	6	≤	≤	NUM
cana-4535	102	7	𝑏	𝑏	NOUN
cana-4535	102	8	,	,	PUNCT
cana-4535	102	9	𝑐	𝑐	PROPN
cana-4535	102	10	−	−	NOUN
cana-4535	102	11	𝑥	𝑥	PROPN
cana-4535	102	12	𝑐	𝑐	NOUN
cana-4535	102	13	−	−	NOUN
cana-4535	102	14	𝑏	𝑏	NOUN
cana-4535	102	15	𝑖𝑓	𝑖𝑓	ADP
cana-4535	102	16	𝑏	𝑏	NOUN
cana-4535	102	17	<	<	X
cana-4535	102	18	𝑥	𝑥	X
cana-4535	102	19	<	<	X
cana-4535	102	20	𝑐	𝑐	PROPN
cana-4535	102	21	,	,	PUNCT
cana-4535	102	22	0	0	NUM
cana-4535	102	23	𝑖𝑓	𝑖𝑓	ADP
cana-4535	102	24	𝑥	𝑥	PRON
cana-4535	102	25	≥	≥	NUM
cana-4535	102	26	𝑐	𝑐	NOUN
cana-4535	102	27	,	,	PUNCT
cana-4535	102	28	(	(	PUNCT
cana-4535	102	29	4	4	X
cana-4535	102	30	)	)	PUNCT
cana-4535	102	31	step	step	NOUN
cana-4535	102	32	3	3	NUM
cana-4535	102	33	:	:	PUNCT
cana-4535	102	34	entropy	entropy	NOUN
cana-4535	102	35	for	for	ADP
cana-4535	102	36	the	the	DET
cana-4535	102	37	four	four	NUM
cana-4535	102	38	membership	membership	NOUN
cana-4535	102	39	windows	window	NOUN
cana-4535	102	40	of	of	ADP
cana-4535	102	41	the	the	DET
cana-4535	102	42	concerned	concerned	ADJ
cana-4535	102	43	pixel	pixel	NOUN
cana-4535	102	44	is	be	AUX
cana-4535	102	45	calculated	calculate	VERB
cana-4535	102	46	using	use	VERB
cana-4535	102	47	the	the	DET
cana-4535	102	48	following	follow	VERB
cana-4535	102	49	function	function	NOUN
cana-4535	102	50	𝐸𝑛𝑡𝑟𝑜𝑝𝑦	𝐸𝑛𝑡𝑟𝑜𝑝𝑦	PROPN
cana-4535	102	51	=	=	PUNCT
cana-4535	102	52	−∑𝑝𝑖𝑙𝑜𝑔2𝑝𝑖	−∑𝑝𝑖𝑙𝑜𝑔2𝑝𝑖	PROPN
cana-4535	102	53	𝑖	𝑖	X
cana-4535	102	54	,	,	PUNCT
cana-4535	102	55	(	(	PUNCT
cana-4535	102	56	5	5	NUM
cana-4535	102	57	)	)	PUNCT
cana-4535	102	58	where	where	SCONJ
cana-4535	102	59	𝑝𝑖	𝑝𝑖	NOUN
cana-4535	102	60	is	be	AUX
cana-4535	102	61	the	the	DET
cana-4535	102	62	probability	probability	NOUN
cana-4535	102	63	of	of	ADP
cana-4535	102	64	existence	existence	NOUN
cana-4535	102	65	of	of	ADP
cana-4535	102	66	that	that	DET
cana-4535	102	67	pixel	pixel	NOUN
cana-4535	102	68	.	.	PUNCT
cana-4535	103	1	step	step	NOUN
cana-4535	103	2	4	4	NUM
cana-4535	103	3	:	:	PUNCT
cana-4535	103	4	the	the	DET
cana-4535	103	5	best	good	ADJ
cana-4535	103	6	membership	membership	NOUN
cana-4535	103	7	function	function	NOUN
cana-4535	103	8	for	for	ADP
cana-4535	103	9	the	the	DET
cana-4535	103	10	corresponding	corresponding	ADJ
cana-4535	103	11	pixel	pixel	NOUN
cana-4535	103	12	is	be	AUX
cana-4535	103	13	identified	identify	VERB
cana-4535	103	14	by	by	ADP
cana-4535	103	15	finding	find	VERB
cana-4535	103	16	maximum	maximum	ADJ
cana-4535	103	17	entropy	entropy	NOUN
cana-4535	103	18	among	among	ADP
cana-4535	103	19	the	the	DET
cana-4535	103	20	four	four	NUM
cana-4535	103	21	entropy	entropy	NOUN
cana-4535	103	22	values	value	NOUN
cana-4535	103	23	obtained	obtain	VERB
cana-4535	103	24	from	from	ADP
cana-4535	103	25	step	step	NOUN
cana-4535	103	26	3	3	NUM
cana-4535	103	27	.	.	PUNCT
cana-4535	104	1	step	step	NOUN
cana-4535	104	2	5	5	NUM
cana-4535	104	3	:	:	PUNCT
cana-4535	104	4	same	same	ADJ
cana-4535	104	5	process	process	NOUN
cana-4535	104	6	is	be	AUX
cana-4535	104	7	repeated	repeat	VERB
cana-4535	104	8	for	for	ADP
cana-4535	104	9	all	all	DET
cana-4535	104	10	the	the	DET
cana-4535	104	11	pixels	pixel	NOUN
cana-4535	104	12	by	by	ADP
cana-4535	104	13	finding	find	VERB
cana-4535	104	14	suitable	suitable	ADJ
cana-4535	104	15	membership	membership	NOUN
cana-4535	104	16	function	function	NOUN
cana-4535	104	17	.	.	PUNCT
cana-4535	105	1	step	step	NOUN
cana-4535	105	2	6	6	NUM
cana-4535	105	3	:	:	PUNCT
cana-4535	105	4	in	in	ADP
cana-4535	105	5	fflbp	fflbp	PROPN
cana-4535	105	6	,	,	PUNCT
cana-4535	105	7	the	the	DET
cana-4535	105	8	weighted	weight	VERB
cana-4535	105	9	matrix	matrix	NOUN
cana-4535	105	10	of	of	ADP
cana-4535	105	11	each	each	DET
cana-4535	105	12	pixel	pixel	NOUN
cana-4535	105	13	is	be	AUX
cana-4535	105	14	calculate	calculate	ADJ
cana-4535	105	15	by	by	ADP
cana-4535	105	16	gradient	gradient	NOUN
cana-4535	105	17	of	of	ADP
cana-4535	105	18	that	that	DET
cana-4535	105	19	pixel	pixel	NOUN
cana-4535	105	20	using	use	VERB
cana-4535	105	21	two	two	NUM
cana-4535	105	22	dimensional	dimensional	ADJ
cana-4535	105	23	fractional	fractional	ADJ
cana-4535	105	24	mask	mask	NOUN
cana-4535	105	25	operator	operator	NOUN
cana-4535	106	1	[	[	X
cana-4535	106	2	16	16	NUM
cana-4535	106	3	]	]	PUNCT
cana-4535	106	4	.	.	PUNCT
cana-4535	107	1	the	the	DET
cana-4535	107	2	horizontal	horizontal	ADJ
cana-4535	107	3	and	and	CCONJ
cana-4535	107	4	vertical	vertical	ADJ
cana-4535	107	5	derivatives	derivative	NOUN
cana-4535	107	6	as	as	SCONJ
cana-4535	107	7	defined	define	VERB
cana-4535	107	8	in	in	ADP
cana-4535	107	9	figure	figure	NOUN
cana-4535	107	10	3	3	NUM
cana-4535	107	11	𝑁(𝛼	𝑁(𝛼	NOUN
cana-4535	107	12	)	)	PUNCT
cana-4535	107	13	is	be	AUX
cana-4535	107	14	a	a	DET
cana-4535	107	15	normalization	normalization	NOUN
cana-4535	107	16	function	function	NOUN
cana-4535	107	17	defined	define	VERB
cana-4535	107	18	as	as	SCONJ
cana-4535	107	19	follows	follow	VERB
cana-4535	107	20	𝑁(𝛼	𝑁(𝛼	PRON
cana-4535	107	21	)	)	PUNCT
cana-4535	107	22	=	=	SYM
cana-4535	108	1	1	1	NUM
cana-4535	108	2	−	−	NOUN
cana-4535	108	3	𝛼	𝛼	PRON
cana-4535	108	4	+	+	NOUN
cana-4535	108	5	𝛼	𝛼	X
cana-4535	108	6	γ(𝛼	γ(𝛼	NOUN
cana-4535	108	7	)	)	PUNCT
cana-4535	108	8	where	where	SCONJ
cana-4535	108	9	𝛼	𝛼	NOUN
cana-4535	108	10	is	be	AUX
cana-4535	108	11	the	the	DET
cana-4535	108	12	order	order	NOUN
cana-4535	108	13	of	of	ADP
cana-4535	108	14	the	the	DET
cana-4535	108	15	fractional	fractional	ADJ
cana-4535	108	16	derivative	derivative	NOUN
cana-4535	108	17	and	and	CCONJ
cana-4535	108	18	γ(𝛼	γ(𝛼	PROPN
cana-4535	108	19	)	)	PUNCT
cana-4535	108	20	is	be	AUX
cana-4535	108	21	a	a	DET
cana-4535	108	22	gamma	gamma	NOUN
cana-4535	108	23	function	function	NOUN
cana-4535	108	24	.	.	PUNCT
cana-4535	109	1	the	the	DET
cana-4535	109	2	gradient	gradient	NOUN
cana-4535	109	3	of	of	ADP
cana-4535	109	4	the	the	DET
cana-4535	109	5	pixel	pixel	NOUN
cana-4535	109	6	is	be	AUX
cana-4535	109	7	calculated	calculate	VERB
cana-4535	109	8	from	from	ADP
cana-4535	109	9	horizontal	horizontal	ADJ
cana-4535	109	10	and	and	CCONJ
cana-4535	109	11	vertical	vertical	ADJ
cana-4535	109	12	derivatives	derivative	NOUN
cana-4535	109	13	by	by	ADP
cana-4535	109	14	𝐺𝑟𝑎𝑑	𝐺𝑟𝑎𝑑	PROPN
cana-4535	109	15	=	=	PUNCT
cana-4535	110	1	√ℎ𝑥2	√ℎ𝑥2	PROPN
cana-4535	111	1	+	+	NUM
cana-4535	111	2	ℎ𝑦2	ℎ𝑦2	NOUN
cana-4535	111	3	.	.	PUNCT
cana-4535	112	1	figure	figure	VERB
cana-4535	112	2	3	3	NUM
cana-4535	112	3	:	:	PUNCT
cana-4535	112	4	(	(	PUNCT
cana-4535	112	5	a	a	X
cana-4535	112	6	)	)	PUNCT
cana-4535	112	7	ℎ𝑥	ℎ𝑥	NOUN
cana-4535	112	8	is	be	AUX
cana-4535	112	9	horizontal	horizontal	ADJ
cana-4535	112	10	derivative	derivative	ADJ
cana-4535	112	11	and	and	CCONJ
cana-4535	112	12	(	(	PUNCT
cana-4535	112	13	b	b	X
cana-4535	112	14	)	)	PUNCT
cana-4535	112	15	ℎ𝑦	ℎ𝑦	PROPN
cana-4535	112	16	is	be	AUX
cana-4535	112	17	vertical	vertical	ADJ
cana-4535	112	18	derivative	derivative	ADJ
cana-4535	112	19	step	step	NOUN
cana-4535	112	20	7	7	NUM
cana-4535	112	21	:	:	PUNCT
cana-4535	112	22	consolidate	consolidate	VERB
cana-4535	112	23	all	all	DET
cana-4535	112	24	the	the	DET
cana-4535	112	25	pixels	pixel	NOUN
cana-4535	112	26	and	and	CCONJ
cana-4535	112	27	get	get	VERB
cana-4535	112	28	the	the	DET
cana-4535	112	29	crisp	crisp	ADJ
cana-4535	112	30	blood	blood	NOUN
cana-4535	112	31	vessel	vessel	NOUN
cana-4535	112	32	image	image	NOUN
cana-4535	112	33	by	by	ADP
cana-4535	112	34	defuzzifying	defuzzifye	VERB
cana-4535	112	35	it	it	PRON
cana-4535	112	36	.	.	PUNCT
cana-4535	113	1	communications	communication	NOUN
cana-4535	113	2	on	on	ADP
cana-4535	113	3	applied	apply	VERB
cana-4535	113	4	nonlinear	nonlinear	ADJ
cana-4535	113	5	analysis	analysis	NOUN
cana-4535	113	6	issn	issn	NOUN
cana-4535	113	7	:	:	PUNCT
cana-4535	113	8	1074	1074	NUM
cana-4535	113	9	-	-	PUNCT
cana-4535	113	10	133x	133x	NUM
cana-4535	113	11	vol	vol	NOUN
cana-4535	113	12	32	32	NUM
cana-4535	113	13	no	no	NOUN
cana-4535	113	14	.	.	PUNCT
cana-4535	114	1	9s	9s	NUM
cana-4535	114	2	(	(	PUNCT
cana-4535	114	3	2025	2025	NUM
cana-4535	114	4	)	)	PUNCT
cana-4535	114	5	2459	2459	NUM
cana-4535	115	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4535	115	2	figure	figure	NOUN
cana-4535	115	3	4	4	NUM
cana-4535	115	4	:	:	PUNCT
cana-4535	115	5	comparison	comparison	NOUN
cana-4535	115	6	result	result	NOUN
cana-4535	115	7	of	of	ADP
cana-4535	115	8	proposed	propose	VERB
cana-4535	115	9	method	method	NOUN
cana-4535	115	10	with	with	ADP
cana-4535	115	11	existing	exist	VERB
cana-4535	115	12	edge	edge	NOUN
cana-4535	115	13	detection	detection	NOUN
cana-4535	115	14	methods	method	NOUN
cana-4535	115	15	4	4	NUM
cana-4535	115	16	.	.	PUNCT
cana-4535	116	1	experimental	experimental	ADJ
cana-4535	116	2	study	study	NOUN
cana-4535	116	3	the	the	DET
cana-4535	116	4	source	source	NOUN
cana-4535	116	5	code	code	NOUN
cana-4535	116	6	is	be	AUX
cana-4535	116	7	written	write	VERB
cana-4535	116	8	in	in	ADP
cana-4535	116	9	matlab	matlab	PROPN
cana-4535	116	10	r2014a	r2014a	PROPN
cana-4535	116	11	and	and	CCONJ
cana-4535	116	12	the	the	DET
cana-4535	116	13	simulation	simulation	NOUN
cana-4535	116	14	have	have	AUX
cana-4535	116	15	been	be	AUX
cana-4535	116	16	run	run	VERB
cana-4535	116	17	on	on	ADP
cana-4535	116	18	a	a	DET
cana-4535	116	19	6	6	NUM
cana-4535	116	20	th	th	NOUN
cana-4535	116	21	generation	generation	NOUN
cana-4535	116	22	intel	intel	PROPN
cana-4535	116	23	®	®	PROPN
cana-4535	116	24	coretm	coretm	NOUN
cana-4535	116	25	i3	i3	NOUN
cana-4535	116	26	processor	processor	NOUN
cana-4535	116	27	.	.	PUNCT
cana-4535	117	1	for	for	ADP
cana-4535	117	2	quantitative	quantitative	ADJ
cana-4535	117	3	assessment	assessment	NOUN
cana-4535	117	4	,	,	PUNCT
cana-4535	117	5	psnr	psnr	NOUN
cana-4535	117	6	and	and	CCONJ
cana-4535	117	7	jaccard	jaccard	ADJ
cana-4535	117	8	index	index	NOUN
cana-4535	117	9	have	have	AUX
cana-4535	117	10	been	be	AUX
cana-4535	117	11	used	use	VERB
cana-4535	117	12	.	.	PUNCT
cana-4535	118	1	4.1	4.1	NUM
cana-4535	118	2	peak	peak	NOUN
cana-4535	118	3	signal	signal	NOUN
cana-4535	118	4	to	to	PART
cana-4535	118	5	noise	noise	VERB
cana-4535	118	6	ratio	ratio	NOUN
cana-4535	118	7	it	it	PRON
cana-4535	118	8	is	be	AUX
cana-4535	118	9	a	a	DET
cana-4535	118	10	ratio	ratio	NOUN
cana-4535	118	11	between	between	ADP
cana-4535	118	12	maximum	maximum	ADJ
cana-4535	118	13	possible	possible	ADJ
cana-4535	118	14	power	power	NOUN
cana-4535	118	15	values	value	NOUN
cana-4535	118	16	of	of	ADP
cana-4535	118	17	pixel	pixel	NOUN
cana-4535	118	18	and	and	CCONJ
cana-4535	118	19	the	the	DET
cana-4535	118	20	power	power	NOUN
cana-4535	118	21	of	of	ADP
cana-4535	118	22	the	the	DET
cana-4535	118	23	pixels	pixel	NOUN
cana-4535	118	24	that	that	PRON
cana-4535	118	25	affect	affect	VERB
cana-4535	118	26	the	the	DET
cana-4535	118	27	standard	standard	NOUN
cana-4535	118	28	of	of	ADP
cana-4535	118	29	the	the	DET
cana-4535	118	30	images	image	NOUN
cana-4535	118	31	.	.	PUNCT
cana-4535	119	1	psnr	psnr	NOUN
cana-4535	119	2	value	value	NOUN
cana-4535	119	3	between	between	ADP
cana-4535	119	4	two	two	NUM
cana-4535	119	5	image	image	NOUN
cana-4535	119	6	of	of	ADP
cana-4535	119	7	size	size	NOUN
cana-4535	119	8	𝑚×	𝑚×	ADP
cana-4535	119	9	𝑛	𝑛	PROPN
cana-4535	119	10	is	be	AUX
cana-4535	119	11	𝑃𝑆𝑁𝑅	𝑃𝑆𝑁𝑅	NOUN
cana-4535	119	12	=	=	SYM
cana-4535	119	13	10	10	NUM
cana-4535	119	14	(	(	PUNCT
cana-4535	119	15	2552	2552	NUM
cana-4535	119	16	×𝑚	×𝑚	X
cana-4535	119	17	×	×	PROPN
cana-4535	119	18	𝑛	𝑛	PRON
cana-4535	119	19	|𝑃1	|𝑃1	PUNCT
cana-4535	119	20	−	−	PROPN
cana-4535	119	21	𝑃2|2	𝑃2|2	ADJ
cana-4535	119	22	)	)	PUNCT
cana-4535	119	23	table	table	NOUN
cana-4535	119	24	1	1	NUM
cana-4535	119	25	:	:	PUNCT
cana-4535	119	26	psnr	psnr	NOUN
cana-4535	119	27	metric	metric	ADJ
cana-4535	119	28	4.2	4.2	NUM
cana-4535	119	29	jaccard	jaccard	ADJ
cana-4535	119	30	index	index	NOUN
cana-4535	119	31	jaccard	jaccard	PROPN
cana-4535	119	32	index	index	NOUN
cana-4535	119	33	is	be	AUX
cana-4535	119	34	the	the	DET
cana-4535	119	35	proportion	proportion	NOUN
cana-4535	119	36	between	between	ADP
cana-4535	119	37	intersection	intersection	NOUN
cana-4535	119	38	and	and	CCONJ
cana-4535	119	39	union	union	NOUN
cana-4535	119	40	of	of	ADP
cana-4535	119	41	two	two	NUM
cana-4535	119	42	images	image	NOUN
cana-4535	119	43	and	and	CCONJ
cana-4535	119	44	which	which	PRON
cana-4535	119	45	ranges	range	VERB
cana-4535	119	46	from	from	ADP
cana-4535	119	47	0	0	NUM
cana-4535	119	48	to	to	ADP
cana-4535	119	49	1	1	NUM
cana-4535	119	50	depending	depend	VERB
cana-4535	119	51	on	on	ADP
cana-4535	119	52	the	the	DET
cana-4535	119	53	similarity	similarity	NOUN
cana-4535	119	54	of	of	ADP
cana-4535	119	55	two	two	NUM
cana-4535	119	56	images	image	NOUN
cana-4535	119	57	.	.	PUNCT
cana-4535	120	1	if	if	SCONJ
cana-4535	120	2	two	two	NUM
cana-4535	120	3	images	image	NOUN
cana-4535	120	4	are	be	AUX
cana-4535	120	5	identical	identical	ADJ
cana-4535	120	6	then	then	ADV
cana-4535	120	7	the	the	DET
cana-4535	120	8	index	index	NOUN
cana-4535	120	9	value	value	NOUN
cana-4535	120	10	is	be	AUX
cana-4535	120	11	1	1	NUM
cana-4535	120	12	.	.	PUNCT
cana-4535	120	13	jaccard	jaccard	PROPN
cana-4535	120	14	index	index	NOUN
cana-4535	120	15	is	be	AUX
cana-4535	120	16	defined	define	VERB
cana-4535	120	17	by	by	ADP
cana-4535	120	18	flbp	flbp	PROPN
cana-4535	120	19	method	method	PROPN
cana-4535	120	20	ilbp	ilbp	PROPN
cana-4535	120	21	method	method	NOUN
cana-4535	120	22	perwitt	perwitt	NOUN
cana-4535	120	23	operator	operator	NOUN
cana-4535	120	24	proposed	propose	VERB
cana-4535	120	25	method	method	NOUN
cana-4535	120	26	image1	image1	NOUN
cana-4535	120	27	10.1207	10.1207	NUM
cana-4535	120	28	9.2098	9.2098	NUM
cana-4535	120	29	10.4471	10.4471	NUM
cana-4535	120	30	10.4950	10.4950	NUM
cana-4535	120	31	image2	image2	NOUN
cana-4535	120	32	10.8608	10.8608	NUM
cana-4535	120	33	10.1845	10.1845	NUM
cana-4535	120	34	10.4897	10.4897	NUM
cana-4535	120	35	11.0961	11.0961	NUM
cana-4535	120	36	image3	image3	NOUN
cana-4535	120	37	9.7469	9.7469	NUM
cana-4535	120	38	8.5036	8.5036	NUM
cana-4535	120	39	10.1719	10.1719	NUM
cana-4535	120	40	10.7378	10.7378	NUM
cana-4535	120	41	image4	image4	NOUN
cana-4535	120	42	8.8055	8.8055	NUM
cana-4535	120	43	8.1152	8.1152	NUM
cana-4535	120	44	10.7247	10.7247	NUM
cana-4535	120	45	11.5575	11.5575	NUM
cana-4535	120	46	image5	image5	NOUN
cana-4535	120	47	9.3460	9.3460	NUM
cana-4535	120	48	7.4248	7.4248	NUM
cana-4535	120	49	10.3542	10.3542	NUM
cana-4535	120	50	11.2122	11.2122	NUM
cana-4535	120	51	communications	communication	NOUN
cana-4535	120	52	on	on	ADP
cana-4535	120	53	applied	apply	VERB
cana-4535	120	54	nonlinear	nonlinear	ADJ
cana-4535	120	55	analysis	analysis	NOUN
cana-4535	120	56	issn	issn	NOUN
cana-4535	120	57	:	:	PUNCT
cana-4535	120	58	1074	1074	NUM
cana-4535	120	59	-	-	PUNCT
cana-4535	120	60	133x	133x	NUM
cana-4535	120	61	vol	vol	NOUN
cana-4535	120	62	32	32	NUM
cana-4535	120	63	no	no	NOUN
cana-4535	120	64	.	.	PUNCT
cana-4535	121	1	9s	9s	NUM
cana-4535	121	2	(	(	PUNCT
cana-4535	121	3	2025	2025	NUM
cana-4535	121	4	)	)	PUNCT
cana-4535	121	5	2460	2460	NUM
cana-4535	121	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4535	122	1	𝐽𝑎𝑐𝑐𝑎𝑟𝑑	𝐽𝑎𝑐𝑐𝑎𝑟𝑑	PROPN
cana-4535	122	2	𝐼𝑛𝑑𝑒𝑥(𝑃1	𝐼𝑛𝑑𝑒𝑥(𝑃1	PROPN
cana-4535	122	3	,	,	PUNCT
cana-4535	122	4	𝑃2	𝑃2	NOUN
cana-4535	122	5	)	)	PUNCT
cana-4535	122	6	=	=	SYM
cana-4535	122	7	|𝑃1	|𝑃1	NOUN
cana-4535	122	8	∩	∩	X
cana-4535	122	9	𝑃2|	𝑃2|	PROPN
cana-4535	122	10	|𝑃1	|𝑃1	PUNCT
cana-4535	122	11	∪	∪	X
cana-4535	122	12	𝑃2|	𝑃2|	PROPN
cana-4535	122	13	.	.	PUNCT
cana-4535	122	14	comparison	comparison	NOUN
cana-4535	122	15	results	result	NOUN
cana-4535	122	16	of	of	ADP
cana-4535	122	17	the	the	DET
cana-4535	122	18	proposed	propose	VERB
cana-4535	122	19	method	method	NOUN
cana-4535	122	20	have	have	AUX
cana-4535	122	21	been	be	AUX
cana-4535	122	22	shown	show	VERB
cana-4535	122	23	along	along	ADP
cana-4535	122	24	with	with	ADP
cana-4535	122	25	the	the	DET
cana-4535	122	26	existing	exist	VERB
cana-4535	122	27	blood	blood	NOUN
cana-4535	122	28	vessel	vessel	NOUN
cana-4535	122	29	detection	detection	NOUN
cana-4535	122	30	methods	method	NOUN
cana-4535	122	31	in	in	ADP
cana-4535	122	32	figure	figure	NOUN
cana-4535	122	33	4	4	NUM
cana-4535	122	34	.	.	PUNCT
cana-4535	123	1	in	in	ADP
cana-4535	123	2	figure	figure	NOUN
cana-4535	123	3	4	4	NUM
cana-4535	123	4	,	,	PUNCT
cana-4535	123	5	the	the	DET
cana-4535	123	6	second	second	ADJ
cana-4535	123	7	column	column	NOUN
cana-4535	123	8	shows	show	VERB
cana-4535	123	9	retinal	retinal	ADJ
cana-4535	123	10	images	image	NOUN
cana-4535	123	11	considered	consider	VERB
cana-4535	123	12	for	for	ADP
cana-4535	123	13	presenting	present	VERB
cana-4535	123	14	qualitative	qualitative	ADJ
cana-4535	123	15	results	result	NOUN
cana-4535	123	16	.	.	PUNCT
cana-4535	124	1	their	their	PRON
cana-4535	124	2	ground	ground	NOUN
cana-4535	124	3	truth	truth	NOUN
cana-4535	124	4	have	have	AUX
cana-4535	124	5	been	be	AUX
cana-4535	124	6	presented	present	VERB
cana-4535	124	7	in	in	ADP
cana-4535	124	8	the	the	DET
cana-4535	124	9	third	third	ADJ
cana-4535	124	10	column	column	NOUN
cana-4535	124	11	of	of	ADP
cana-4535	124	12	figure	figure	NOUN
cana-4535	124	13	4	4	NUM
cana-4535	124	14	.	.	PUNCT
cana-4535	125	1	the	the	DET
cana-4535	125	2	results	result	NOUN
cana-4535	125	3	of	of	ADP
cana-4535	125	4	the	the	DET
cana-4535	125	5	existing	exist	VERB
cana-4535	125	6	techniques	technique	NOUN
cana-4535	125	7	namely	namely	ADV
cana-4535	125	8	flbp	flbp	PROPN
cana-4535	126	1	[	[	X
cana-4535	126	2	13	13	NUM
cana-4535	126	3	]	]	PUNCT
cana-4535	126	4	,	,	PUNCT
cana-4535	126	5	ilbp	ilbp	PROPN
cana-4535	127	1	[	[	X
cana-4535	127	2	11	11	NUM
cana-4535	127	3	]	]	PUNCT
cana-4535	127	4	and	and	CCONJ
cana-4535	127	5	mekideche	mekideche	NOUN
cana-4535	127	6	method	method	NOUN
cana-4535	127	7	[	[	X
cana-4535	127	8	15	15	NUM
cana-4535	127	9	]	]	PUNCT
cana-4535	127	10	and	and	CCONJ
cana-4535	127	11	the	the	DET
cana-4535	127	12	proposed	propose	VERB
cana-4535	127	13	method	method	NOUN
cana-4535	127	14	have	have	AUX
cana-4535	127	15	been	be	AUX
cana-4535	127	16	presented	present	VERB
cana-4535	127	17	in	in	ADP
cana-4535	127	18	the	the	DET
cana-4535	127	19	,	,	PUNCT
cana-4535	127	20	fourth	fourth	ADJ
cana-4535	127	21	,	,	PUNCT
cana-4535	127	22	fifth	fifth	ADJ
cana-4535	127	23	and	and	CCONJ
cana-4535	127	24	sixth	sixth	ADJ
cana-4535	127	25	,	,	PUNCT
cana-4535	127	26	seventh	seventh	ADJ
cana-4535	127	27	columns	column	NOUN
cana-4535	127	28	of	of	ADP
cana-4535	127	29	figure	figure	NOUN
cana-4535	127	30	4	4	NUM
cana-4535	127	31	.	.	PUNCT
cana-4535	128	1	one	one	PRON
cana-4535	128	2	can	can	AUX
cana-4535	128	3	clearly	clearly	ADV
cana-4535	128	4	see	see	VERB
cana-4535	128	5	that	that	PRON
cana-4535	128	6	flbp	flbp	PROPN
cana-4535	128	7	,	,	PUNCT
cana-4535	128	8	ilbp	ilbp	PROPN
cana-4535	128	9	and	and	CCONJ
cana-4535	128	10	mekideche	mekideche	NOUN
cana-4535	128	11	’s	’s	PART
cana-4535	128	12	method	method	NOUN
cana-4535	128	13	results	result	NOUN
cana-4535	128	14	are	be	AUX
cana-4535	128	15	under	under	ADP
cana-4535	128	16	segmented	segment	VERB
cana-4535	128	17	while	while	SCONJ
cana-4535	128	18	comparing	compare	VERB
cana-4535	128	19	to	to	ADP
cana-4535	128	20	ground	ground	NOUN
cana-4535	128	21	truth	truth	NOUN
cana-4535	128	22	.	.	PUNCT
cana-4535	129	1	in	in	ADP
cana-4535	129	2	the	the	DET
cana-4535	129	3	first	first	ADJ
cana-4535	129	4	retinal	retinal	ADJ
cana-4535	129	5	image	image	NOUN
cana-4535	129	6	,	,	PUNCT
cana-4535	129	7	it	it	PRON
cana-4535	129	8	is	be	AUX
cana-4535	129	9	evident	evident	ADJ
cana-4535	129	10	that	that	SCONJ
cana-4535	129	11	the	the	DET
cana-4535	129	12	other	other	ADJ
cana-4535	129	13	three	three	NUM
cana-4535	129	14	existing	exist	VERB
cana-4535	129	15	methods	method	NOUN
cana-4535	129	16	detect	detect	VERB
cana-4535	129	17	fewer	few	ADJ
cana-4535	129	18	edges	edge	NOUN
cana-4535	129	19	in	in	ADP
cana-4535	129	20	the	the	DET
cana-4535	129	21	corner	corner	NOUN
cana-4535	129	22	and	and	CCONJ
cana-4535	129	23	also	also	ADV
cana-4535	129	24	more	more	ADJ
cana-4535	129	25	discontinuity	discontinuity	NOUN
cana-4535	129	26	in	in	ADP
cana-4535	129	27	edges	edge	NOUN
cana-4535	129	28	appears	appear	VERB
cana-4535	129	29	.	.	PUNCT
cana-4535	130	1	the	the	DET
cana-4535	130	2	proposed	propose	VERB
cana-4535	130	3	method	method	NOUN
cana-4535	130	4	detects	detect	NOUN
cana-4535	130	5	almost	almost	ADV
cana-4535	130	6	all	all	PRON
cana-4535	130	7	edges	edge	NOUN
cana-4535	130	8	in	in	ADP
cana-4535	130	9	the	the	DET
cana-4535	130	10	corners	corner	NOUN
cana-4535	130	11	.	.	PUNCT
cana-4535	131	1	in	in	ADP
cana-4535	131	2	second	second	ADJ
cana-4535	131	3	third	third	ADJ
cana-4535	131	4	and	and	CCONJ
cana-4535	131	5	other	other	ADJ
cana-4535	131	6	images	image	NOUN
cana-4535	131	7	the	the	DET
cana-4535	131	8	existing	exist	VERB
cana-4535	131	9	methods	method	NOUN
cana-4535	131	10	having	have	VERB
cana-4535	131	11	some	some	PRON
cana-4535	131	12	in	in	ADP
cana-4535	131	13	efficiency	efficiency	NOUN
cana-4535	131	14	for	for	ADP
cana-4535	131	15	finding	find	VERB
cana-4535	131	16	corners	corner	NOUN
cana-4535	131	17	edges	edge	NOUN
cana-4535	131	18	also	also	ADV
cana-4535	131	19	existing	exist	VERB
cana-4535	131	20	methods	method	NOUN
cana-4535	131	21	had	have	AUX
cana-4535	131	22	produced	produce	VERB
cana-4535	131	23	some	some	DET
cana-4535	131	24	non	non	ADJ
cana-4535	131	25	edge	edge	NOUN
cana-4535	131	26	regions	region	NOUN
cana-4535	131	27	when	when	SCONJ
cana-4535	131	28	compared	compare	VERB
cana-4535	131	29	to	to	ADP
cana-4535	131	30	the	the	DET
cana-4535	131	31	ground	ground	NOUN
cana-4535	131	32	truth	truth	NOUN
cana-4535	131	33	image	image	NOUN
cana-4535	131	34	.	.	PUNCT
cana-4535	132	1	but	but	CCONJ
cana-4535	132	2	,	,	PUNCT
cana-4535	132	3	the	the	DET
cana-4535	132	4	proposed	propose	VERB
cana-4535	132	5	method	method	NOUN
cana-4535	132	6	produced	produce	VERB
cana-4535	132	7	less	less	ADV
cana-4535	132	8	unwanted	unwanted	ADJ
cana-4535	132	9	edges	edge	NOUN
cana-4535	132	10	.	.	PUNCT
cana-4535	133	1	in	in	ADP
cana-4535	133	2	all	all	DET
cana-4535	133	3	images	image	NOUN
cana-4535	133	4	,	,	PUNCT
cana-4535	133	5	many	many	ADJ
cana-4535	133	6	noises	noise	NOUN
cana-4535	133	7	were	be	AUX
cana-4535	133	8	seen	see	VERB
cana-4535	133	9	around	around	ADP
cana-4535	133	10	the	the	DET
cana-4535	133	11	retina	retina	NOUN
cana-4535	133	12	in	in	ADP
cana-4535	133	13	the	the	DET
cana-4535	133	14	edge	edge	NOUN
cana-4535	133	15	images	image	NOUN
cana-4535	133	16	identified	identify	VERB
cana-4535	133	17	by	by	ADP
cana-4535	133	18	the	the	DET
cana-4535	133	19	other	other	ADJ
cana-4535	133	20	three	three	NUM
cana-4535	133	21	existing	exist	VERB
cana-4535	133	22	methods	method	NOUN
cana-4535	133	23	.	.	PUNCT
cana-4535	134	1	but	but	CCONJ
cana-4535	134	2	,	,	PUNCT
cana-4535	134	3	the	the	DET
cana-4535	134	4	proposed	propose	VERB
cana-4535	134	5	method	method	NOUN
cana-4535	134	6	gives	give	VERB
cana-4535	134	7	acceptable	acceptable	ADJ
cana-4535	134	8	results	result	NOUN
cana-4535	134	9	when	when	SCONJ
cana-4535	134	10	compared	compare	VERB
cana-4535	134	11	to	to	ADP
cana-4535	134	12	the	the	DET
cana-4535	134	13	ground	ground	NOUN
cana-4535	134	14	truth	truth	NOUN
cana-4535	134	15	.	.	PUNCT
cana-4535	135	1	for	for	ADP
cana-4535	135	2	quantitative	quantitative	ADJ
cana-4535	135	3	assessment	assessment	NOUN
cana-4535	135	4	,	,	PUNCT
cana-4535	135	5	psnr	psnr	NOUN
cana-4535	135	6	and	and	CCONJ
cana-4535	135	7	jaccard	jaccard	ADJ
cana-4535	135	8	index	index	NOUN
cana-4535	135	9	are	be	AUX
cana-4535	135	10	tabulated	tabulate	VERB
cana-4535	135	11	in	in	ADP
cana-4535	135	12	table	table	NOUN
cana-4535	135	13	1	1	NUM
cana-4535	135	14	and	and	CCONJ
cana-4535	135	15	table	table	NOUN
cana-4535	135	16	2	2	NUM
cana-4535	135	17	.	.	PUNCT
cana-4535	136	1	since	since	SCONJ
cana-4535	136	2	psnr	psnr	NOUN
cana-4535	136	3	values	value	NOUN
cana-4535	136	4	are	be	AUX
cana-4535	136	5	larger	large	ADJ
cana-4535	136	6	for	for	ADP
cana-4535	136	7	all	all	DET
cana-4535	136	8	the	the	DET
cana-4535	136	9	edge	edge	NOUN
cana-4535	136	10	images	image	NOUN
cana-4535	136	11	providing	provide	VERB
cana-4535	136	12	by	by	ADP
cana-4535	136	13	proposed	propose	VERB
cana-4535	136	14	method	method	NOUN
cana-4535	136	15	.	.	PUNCT
cana-4535	137	1	jaccard	jaccard	PROPN
cana-4535	137	2	index	index	NOUN
cana-4535	137	3	values	value	NOUN
cana-4535	137	4	are	be	AUX
cana-4535	137	5	given	give	VERB
cana-4535	137	6	table	table	NOUN
cana-4535	137	7	2	2	NUM
cana-4535	137	8	for	for	ADP
cana-4535	137	9	all	all	DET
cana-4535	137	10	five	five	NUM
cana-4535	137	11	images	image	NOUN
cana-4535	137	12	obtained	obtain	VERB
cana-4535	137	13	from	from	ADP
cana-4535	137	14	the	the	DET
cana-4535	137	15	three	three	NUM
cana-4535	137	16	existing	exist	VERB
cana-4535	137	17	methods	method	NOUN
cana-4535	137	18	along	along	ADP
cana-4535	137	19	with	with	ADP
cana-4535	137	20	the	the	DET
cana-4535	137	21	proposed	propose	VERB
cana-4535	137	22	method	method	NOUN
cana-4535	137	23	.	.	PUNCT
cana-4535	138	1	table	table	NOUN
cana-4535	138	2	2	2	NUM
cana-4535	138	3	demonstrates	demonstrate	VERB
cana-4535	138	4	that	that	SCONJ
cana-4535	138	5	the	the	DET
cana-4535	138	6	proposed	propose	VERB
cana-4535	138	7	method	method	NOUN
cana-4535	138	8	produces	produce	VERB
cana-4535	138	9	better	well	ADJ
cana-4535	138	10	value	value	NOUN
cana-4535	138	11	when	when	SCONJ
cana-4535	138	12	compared	compare	VERB
cana-4535	138	13	to	to	ADP
cana-4535	138	14	the	the	DET
cana-4535	138	15	existing	exist	VERB
cana-4535	138	16	methods	method	NOUN
cana-4535	138	17	.	.	PUNCT
cana-4535	139	1	so	so	ADV
cana-4535	139	2	,	,	PUNCT
cana-4535	139	3	quantitatively	quantitatively	ADV
cana-4535	139	4	proposed	propose	VERB
cana-4535	139	5	method	method	NOUN
cana-4535	139	6	is	be	AUX
cana-4535	139	7	superior	superior	ADJ
cana-4535	139	8	to	to	ADP
cana-4535	139	9	flbp	flbp	PROPN
cana-4535	139	10	,	,	PUNCT
cana-4535	139	11	ilbp	ilbp	PROPN
cana-4535	139	12	and	and	CCONJ
cana-4535	139	13	mekideche	mekideche	NOUN
cana-4535	139	14	’s	’s	PART
cana-4535	139	15	method	method	NOUN
cana-4535	139	16	.	.	PUNCT
cana-4535	140	1	table	table	NOUN
cana-4535	140	2	2	2	NUM
cana-4535	140	3	:	:	PUNCT
cana-4535	140	4	jaccard	jaccard	ADJ
cana-4535	140	5	index	index	NOUN
cana-4535	140	6	5	5	NUM
cana-4535	140	7	.	.	PUNCT
cana-4535	140	8	conclusion	conclusion	NOUN
cana-4535	140	9	based	base	VERB
cana-4535	140	10	on	on	ADP
cana-4535	140	11	lbp	lbp	PROPN
cana-4535	140	12	,	,	PUNCT
cana-4535	140	13	a	a	DET
cana-4535	140	14	novel	novel	ADJ
cana-4535	140	15	technique	technique	NOUN
cana-4535	140	16	for	for	ADP
cana-4535	140	17	identifying	identify	VERB
cana-4535	140	18	blood	blood	NOUN
cana-4535	140	19	vessels	vessel	NOUN
cana-4535	140	20	in	in	ADP
cana-4535	140	21	retinal	retinal	ADJ
cana-4535	140	22	pictures	picture	NOUN
cana-4535	140	23	has	have	AUX
cana-4535	140	24	been	be	AUX
cana-4535	140	25	developed	develop	VERB
cana-4535	140	26	.	.	PUNCT
cana-4535	141	1	by	by	ADP
cana-4535	141	2	selecting	select	VERB
cana-4535	141	3	a	a	DET
cana-4535	141	4	membership	membership	NOUN
cana-4535	141	5	function	function	NOUN
cana-4535	141	6	that	that	PRON
cana-4535	141	7	is	be	AUX
cana-4535	141	8	appropriate	appropriate	ADJ
cana-4535	141	9	for	for	ADP
cana-4535	141	10	the	the	DET
cana-4535	141	11	image	image	NOUN
cana-4535	141	12	under	under	ADP
cana-4535	141	13	consideration	consideration	NOUN
cana-4535	141	14	,	,	PUNCT
cana-4535	141	15	the	the	DET
cana-4535	141	16	fuzzy	fuzzy	ADJ
cana-4535	141	17	technique	technique	NOUN
cana-4535	141	18	used	use	VERB
cana-4535	141	19	in	in	ADP
cana-4535	141	20	this	this	DET
cana-4535	141	21	paper	paper	NOUN
cana-4535	141	22	decreases	decrease	VERB
cana-4535	141	23	redundancy	redundancy	NOUN
cana-4535	141	24	in	in	ADP
cana-4535	141	25	identifying	identify	VERB
cana-4535	141	26	the	the	DET
cana-4535	141	27	relevant	relevant	ADJ
cana-4535	141	28	blood	blood	NOUN
cana-4535	141	29	vessel	vessel	NOUN
cana-4535	141	30	pixel	pixel	PROPN
cana-4535	141	31	.	.	PUNCT
cana-4535	142	1	a	a	DET
cana-4535	142	2	fractional	fractional	ADJ
cana-4535	142	3	derivative	derivative	NOUN
cana-4535	142	4	is	be	AUX
cana-4535	142	5	used	use	VERB
cana-4535	142	6	in	in	ADP
cana-4535	142	7	the	the	DET
cana-4535	142	8	creation	creation	NOUN
cana-4535	142	9	of	of	ADP
cana-4535	142	10	the	the	DET
cana-4535	142	11	new	new	ADJ
cana-4535	142	12	weightage	weightage	NOUN
cana-4535	142	13	matrix	matrix	NOUN
cana-4535	142	14	in	in	ADP
cana-4535	142	15	fflbp	fflbp	PROPN
cana-4535	142	16	,	,	PUNCT
cana-4535	142	17	which	which	PRON
cana-4535	142	18	also	also	ADV
cana-4535	142	19	enhances	enhance	VERB
cana-4535	142	20	the	the	DET
cana-4535	142	21	detection	detection	NOUN
cana-4535	142	22	of	of	ADP
cana-4535	142	23	thin	thin	ADJ
cana-4535	142	24	blood	blood	NOUN
cana-4535	142	25	vessels	vessel	NOUN
cana-4535	142	26	.	.	PUNCT
cana-4535	143	1	according	accord	VERB
cana-4535	143	2	to	to	ADP
cana-4535	143	3	the	the	DET
cana-4535	143	4	results	result	NOUN
cana-4535	143	5	,	,	PUNCT
cana-4535	143	6	the	the	DET
cana-4535	143	7	suggested	suggest	VERB
cana-4535	143	8	approach	approach	NOUN
cana-4535	143	9	outperforms	outperform	VERB
cana-4535	143	10	the	the	DET
cana-4535	143	11	three	three	NUM
cana-4535	143	12	current	current	ADJ
cana-4535	143	13	approaches	approach	NOUN
cana-4535	143	14	in	in	ADP
cana-4535	143	15	both	both	CCONJ
cana-4535	143	16	qualitative	qualitative	ADJ
cana-4535	143	17	and	and	CCONJ
cana-4535	143	18	quantitative	quantitative	ADJ
cana-4535	143	19	aspects	aspect	NOUN
cana-4535	143	20	.	.	PUNCT
cana-4535	144	1	as	as	ADP
cana-4535	144	2	a	a	DET
cana-4535	144	3	future	future	ADJ
cana-4535	144	4	work	work	NOUN
cana-4535	144	5	,	,	PUNCT
cana-4535	144	6	a	a	DET
cana-4535	144	7	new	new	ADJ
cana-4535	144	8	method	method	NOUN
cana-4535	144	9	is	be	AUX
cana-4535	144	10	to	to	PART
cana-4535	144	11	be	be	AUX
cana-4535	144	12	introduced	introduce	VERB
cana-4535	144	13	by	by	ADP
cana-4535	144	14	improving	improve	VERB
cana-4535	144	15	the	the	DET
cana-4535	144	16	present	present	ADJ
cana-4535	144	17	lbp	lbp	NOUN
cana-4535	144	18	that	that	PRON
cana-4535	144	19	gives	give	VERB
cana-4535	144	20	more	more	ADJ
cana-4535	144	21	performance	performance	NOUN
cana-4535	144	22	.	.	PUNCT
cana-4535	145	1	flbp	flbp	PROPN
cana-4535	145	2	method	method	PROPN
cana-4535	145	3	ilbp	ilbp	PROPN
cana-4535	145	4	method	method	NOUN
cana-4535	145	5	perwitt	perwitt	NOUN
cana-4535	145	6	operator	operator	NOUN
cana-4535	145	7	proposed	propose	VERB
cana-4535	145	8	method	method	NOUN
cana-4535	145	9	image1	image1	NOUN
cana-4535	146	1	0.8610	0.8610	NUM
cana-4535	146	2	0.8381	0.8381	NUM
cana-4535	146	3	0.8706	0.8706	NUM
cana-4535	146	4	0.8969	0.8969	NUM
cana-4535	146	5	image2	image2	NOUN
cana-4535	146	6	0.8805	0.8805	NUM
cana-4535	146	7	0.8657	0.8657	NUM
cana-4535	146	8	0.8752	0.8752	NUM
cana-4535	146	9	0.9089	0.9089	NUM
cana-4535	146	10	image3	image3	NOUN
cana-4535	146	11	0.8566	0.8566	NUM
cana-4535	146	12	0.8210	0.8210	NUM
cana-4535	146	13	0.8686	0.8686	NUM
cana-4535	146	14	0.8985	0.8985	NUM
cana-4535	146	15	image4	image4	NOUN
cana-4535	146	16	0.8316	0.8316	NUM
cana-4535	146	17	0.8089	0.8089	NUM
cana-4535	146	18	0.8810	0.8810	NUM
cana-4535	146	19	0.9125	0.9125	NUM
cana-4535	146	20	image5	image5	NOUN
cana-4535	146	21	0.8402	0.8402	NUM
cana-4535	146	22	0.7758	0.7758	NUM
cana-4535	146	23	0.8678	0.8678	NUM
cana-4535	146	24	0.9109	0.9109	NUM
cana-4535	146	25	communications	communication	NOUN
cana-4535	146	26	on	on	ADP
cana-4535	146	27	applied	apply	VERB
cana-4535	146	28	nonlinear	nonlinear	ADJ
cana-4535	146	29	analysis	analysis	NOUN
cana-4535	146	30	issn	issn	NOUN
cana-4535	146	31	:	:	PUNCT
cana-4535	146	32	1074	1074	NUM
cana-4535	146	33	-	-	PUNCT
cana-4535	146	34	133x	133x	NUM
cana-4535	146	35	vol	vol	NOUN
cana-4535	146	36	32	32	NUM
cana-4535	146	37	no	no	NOUN
cana-4535	146	38	.	.	PUNCT
cana-4535	147	1	9s	9s	NUM
cana-4535	147	2	(	(	PUNCT
cana-4535	147	3	2025	2025	NUM
cana-4535	147	4	)	)	PUNCT
cana-4535	147	5	2461	2461	NUM
cana-4535	147	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4535	147	7	acknowledgment	acknowledgment	NOUN
cana-4535	147	8	this	this	DET
cana-4535	147	9	work	work	NOUN
cana-4535	147	10	was	be	AUX
cana-4535	147	11	supported	support	VERB
cana-4535	147	12	by	by	ADP
cana-4535	147	13	the	the	DET
cana-4535	147	14	college	college	PROPN
cana-4535	147	15	council	council	PROPN
cana-4535	147	16	,	,	PUNCT
cana-4535	147	17	gobi	gobi	PROPN
cana-4535	147	18	arts	arts	PROPN
cana-4535	147	19	&	&	CCONJ
cana-4535	147	20	science	science	PROPN
cana-4535	147	21	college	college	PROPN
cana-4535	147	22	,	,	PUNCT
cana-4535	147	23	gobichettipalayam	gobichettipalayam	NOUN
cana-4535	147	24	under	under	ADP
cana-4535	147	25	the	the	DET
cana-4535	147	26	scheme	scheme	NOUN
cana-4535	147	27	of	of	ADP
cana-4535	147	28	seed	seed	NOUN
cana-4535	147	29	money	money	NOUN
cana-4535	147	30	for	for	ADP
cana-4535	147	31	research	research	NOUN
cana-4535	147	32	,	,	PUNCT
cana-4535	147	33	sanction	sanction	NOUN
cana-4535	147	34	letter	letter	NOUN
cana-4535	147	35	no.191	no.191	PROPN
cana-4535	147	36	/	/	SYM
cana-4535	147	37	a9/2023/	a9/2023/	NOUN
cana-4535	147	38	dated	date	VERB
cana-4535	147	39	13.02.2023	13.02.2023	NUM
cana-4535	147	40	.	.	PUNCT
cana-4535	148	1	refrences	refrence	NOUN
cana-4535	149	1	[	[	X
cana-4535	149	2	1	1	X
cana-4535	149	3	]	]	PUNCT
cana-4535	149	4	rafael	rafael	PROPN
cana-4535	149	5	c.	c.	PROPN
cana-4535	149	6	gonzalez	gonzalez	PROPN
cana-4535	149	7	and	and	CCONJ
cana-4535	149	8	richard	richard	PROPN
cana-4535	149	9	e.	e.	PROPN
cana-4535	149	10	woods	woods	PROPN
cana-4535	149	11	,	,	PUNCT
cana-4535	149	12	digital	digital	ADJ
cana-4535	149	13	image	image	NOUN
cana-4535	149	14	processing	processing	NOUN
cana-4535	149	15	,	,	PUNCT
cana-4535	149	16	third	third	ADJ
cana-4535	149	17	edition	edition	NOUN
cana-4535	149	18	,	,	PUNCT
cana-4535	149	19	pearson	pearson	PROPN
cana-4535	149	20	,	,	PUNCT
cana-4535	149	21	2007	2007	NUM
cana-4535	149	22	.	.	PUNCT
cana-4535	150	1	[	[	X
cana-4535	150	2	2	2	X
cana-4535	150	3	]	]	PUNCT
cana-4535	150	4	s.	s.	PROPN
cana-4535	150	5	chaudhuri	chaudhuri	PROPN
cana-4535	150	6	,	,	PUNCT
cana-4535	150	7	s.	s.	PROPN
cana-4535	150	8	chatterjee	chatterjee	PROPN
cana-4535	150	9	,	,	PUNCT
cana-4535	150	10	n.	n.	PROPN
cana-4535	150	11	katz	katz	PROPN
cana-4535	150	12	,	,	PUNCT
cana-4535	150	13	m.	m.	PROPN
cana-4535	150	14	nelson	nelson	PROPN
cana-4535	150	15	and	and	CCONJ
cana-4535	150	16	m	m	PROPN
cana-4535	150	17	,	,	PUNCT
cana-4535	150	18	goldbaum	goldbaum	ADJ
cana-4535	150	19	detection	detection	NOUN
cana-4535	150	20	of	of	ADP
cana-4535	150	21	blood	blood	NOUN
cana-4535	150	22	vessels	vessel	NOUN
cana-4535	150	23	in	in	ADP
cana-4535	150	24	retinal	retinal	ADJ
cana-4535	150	25	images	image	NOUN
cana-4535	150	26	using	use	VERB
cana-4535	150	27	two	two	NUM
cana-4535	150	28	-	-	PUNCT
cana-4535	150	29	dimensional	dimensional	ADJ
cana-4535	150	30	matched	match	VERB
cana-4535	150	31	filters	filter	NOUN
cana-4535	150	32	ieee	ieee	NOUN
cana-4535	150	33	transactions	transaction	NOUN
cana-4535	150	34	on	on	ADP
cana-4535	150	35	medical	medical	ADJ
cana-4535	150	36	imaging	imaging	NOUN
cana-4535	150	37	,	,	PUNCT
cana-4535	150	38	vol	vol	NOUN
cana-4535	150	39	.	.	PROPN
cana-4535	150	40	8	8	NUM
cana-4535	150	41	,	,	PUNCT
cana-4535	150	42	no	no	INTJ
cana-4535	150	43	.	.	NOUN
cana-4535	150	44	3	3	NUM
cana-4535	150	45	,	,	PUNCT
cana-4535	150	46	september	september	PROPN
cana-4535	150	47	1989	1989	NUM
cana-4535	150	48	.	.	PUNCT
cana-4535	151	1	[	[	X
cana-4535	151	2	3	3	NUM
cana-4535	151	3	]	]	X
cana-4535	151	4	ganesh	ganesh	NOUN
cana-4535	151	5	,	,	PUNCT
cana-4535	151	6	m.	m.	NOUN
cana-4535	151	7	introduction	introduction	NOUN
cana-4535	151	8	to	to	ADP
cana-4535	151	9	fuzzy	fuzzy	ADJ
cana-4535	151	10	sets	set	NOUN
cana-4535	151	11	and	and	CCONJ
cana-4535	151	12	fuzzy	fuzzy	ADJ
cana-4535	151	13	logic	logic	NOUN
cana-4535	151	14	.	.	PUNCT
cana-4535	152	1	prentice	prentice	NOUN
cana-4535	152	2	-	-	PUNCT
cana-4535	152	3	hall	hall	NOUN
cana-4535	152	4	,	,	PUNCT
cana-4535	152	5	india	india	PROPN
cana-4535	152	6	2006	2006	NUM
cana-4535	152	7	.	.	PUNCT
cana-4535	153	1	[	[	X
cana-4535	153	2	4	4	NUM
cana-4535	153	3	]	]	X
cana-4535	153	4	jms	jms	PROPN
cana-4535	153	5	prewitt	prewitt	PROPN
cana-4535	153	6	,	,	PUNCT
cana-4535	153	7	object	object	VERB
cana-4535	153	8	enhancement	enhancement	NOUN
cana-4535	153	9	and	and	CCONJ
cana-4535	153	10	extraction	extraction	NOUN
cana-4535	153	11	,	,	PUNCT
cana-4535	153	12	picture	picture	NOUN
cana-4535	153	13	processing	processing	NOUN
cana-4535	153	14	and	and	CCONJ
cana-4535	153	15	psy	psy	PROPN
cana-4535	153	16	chophysics	chophysics	PROPN
cana-4535	153	17	,	,	PUNCT
cana-4535	153	18	elsevier	elsevier	PROPN
cana-4535	153	19	science	science	PROPN
cana-4535	153	20	,	,	PUNCT
cana-4535	153	21	amsterdam	amsterdam	PROPN
cana-4535	153	22	,	,	PUNCT
cana-4535	153	23	75	75	NUM
cana-4535	153	24	-	-	SYM
cana-4535	153	25	149	149	NUM
cana-4535	153	26	,	,	PUNCT
cana-4535	153	27	1970	1970	NUM
cana-4535	153	28	.	.	PUNCT
cana-4535	154	1	[	[	X
cana-4535	154	2	5	5	NUM
cana-4535	154	3	]	]	X
cana-4535	154	4	s.k.pal	s.k.pal	ADJ
cana-4535	154	5	,	,	PUNCT
cana-4535	154	6	fuzzy	fuzzy	ADJ
cana-4535	154	7	sets	set	NOUN
cana-4535	154	8	in	in	ADP
cana-4535	154	9	image	image	NOUN
cana-4535	154	10	processing	processing	NOUN
cana-4535	154	11	and	and	CCONJ
cana-4535	154	12	recognition	recognition	NOUN
cana-4535	154	13	,	,	PUNCT
cana-4535	154	14	ieee	ieee	PROPN
cana-4535	154	15	international	international	ADJ
cana-4535	154	16	conference	conference	NOUN
cana-4535	154	17	on	on	ADP
cana-4535	154	18	fuzzy	fuzzy	ADJ
cana-4535	154	19	systems	system	NOUN
cana-4535	154	20	,	,	PUNCT
cana-4535	154	21	1992	1992	NUM
cana-4535	154	22	.	.	PUNCT
cana-4535	155	1	[	[	X
cana-4535	155	2	6	6	NUM
cana-4535	155	3	]	]	SYM
cana-4535	155	4	ojala	ojala	X
cana-4535	155	5	.	.	PUNCT
cana-4535	155	6	t	t	PROPN
cana-4535	155	7	,	,	PUNCT
cana-4535	155	8	pietikainen	pietikainen	NOUN
cana-4535	155	9	.	.	PUNCT
cana-4535	156	1	m	m	PROPN
cana-4535	156	2	and	and	CCONJ
cana-4535	156	3	harwood	harwood	NOUN
cana-4535	156	4	.	.	PUNCT
cana-4535	157	1	d	d	DET
cana-4535	157	2	performance	performance	NOUN
cana-4535	157	3	evaluation	evaluation	NOUN
cana-4535	157	4	of	of	ADP
cana-4535	157	5	texture	texture	ADJ
cana-4535	157	6	mea	mea	NOUN
cana-4535	157	7	sures	sure	NOUN
cana-4535	157	8	with	with	ADP
cana-4535	157	9	classification	classification	NOUN
cana-4535	157	10	based	base	VERB
cana-4535	157	11	on	on	ADP
cana-4535	157	12	kullback	kullback	NOUN
cana-4535	157	13	discrimination	discrimination	NOUN
cana-4535	157	14	of	of	ADP
cana-4535	157	15	distribution	distribution	NOUN
cana-4535	157	16	,	,	PUNCT
cana-4535	157	17	ieee	ieee	NOUN
cana-4535	157	18	,	,	PUNCT
cana-4535	157	19	06	06	NUM
cana-4535	157	20	august	august	PROPN
cana-4535	157	21	1994	1994	NUM
cana-4535	157	22	.	.	PUNCT
cana-4535	158	1	[	[	X
cana-4535	158	2	7	7	NUM
cana-4535	158	3	]	]	X
cana-4535	158	4	kaya	kaya	PROPN
cana-4535	158	5	.	.	PROPN
cana-4535	158	6	b	b	PROPN
cana-4535	158	7	and	and	CCONJ
cana-4535	158	8	durdu	durdu	PROPN
cana-4535	158	9	.	.	PUNCT
cana-4535	159	1	a	a	DET
cana-4535	159	2	,	,	PUNCT
cana-4535	159	3	accurate	accurate	ADJ
cana-4535	159	4	edge	edge	NOUN
cana-4535	159	5	detection	detection	NOUN
cana-4535	159	6	with	with	ADP
cana-4535	159	7	support	support	NOUN
cana-4535	159	8	of	of	ADP
cana-4535	159	9	reflectance	reflectance	NOUN
cana-4535	159	10	transformation	transformation	NOUN
cana-4535	159	11	imaging	imaging	NOUN
cana-4535	159	12	,	,	PUNCT
cana-4535	159	13	ieee	ieee	NOUN
cana-4535	159	14	,	,	PUNCT
cana-4535	159	15	29	29	NUM
cana-4535	159	16	aug	aug	PROPN
cana-4535	159	17	2022	2022	NUM
cana-4535	159	18	.	.	PUNCT
cana-4535	160	1	[	[	X
cana-4535	160	2	8	8	NUM
cana-4535	160	3	]	]	PUNCT
cana-4535	160	4	yibo	yibo	PROPN
cana-4535	160	5	li	li	PROPN
cana-4535	160	6	and	and	CCONJ
cana-4535	160	7	bailun	bailun	PROPN
cana-4535	160	8	liu	liu	PROPN
cana-4535	160	9	,	,	PUNCT
cana-4535	160	10	improved	improve	VERB
cana-4535	160	11	edge	edge	NOUN
cana-4535	160	12	detection	detection	NOUN
cana-4535	160	13	algorithm	algorithm	NOUN
cana-4535	160	14	for	for	ADP
cana-4535	160	15	canny	canny	ADJ
cana-4535	160	16	operator	operator	NOUN
cana-4535	160	17	,	,	PUNCT
cana-4535	160	18	ieee	ieee	NOUN
cana-4535	160	19	,	,	PUNCT
cana-4535	160	20	03	03	NUM
cana-4535	160	21	aug	aug	PROPN
cana-4535	160	22	2022	2022	NUM
cana-4535	160	23	.	.	PUNCT
cana-4535	161	1	[	[	X
cana-4535	161	2	9	9	NUM
cana-4535	161	3	]	]	SYM
cana-4535	161	4	keramidas	keramidas	X
cana-4535	161	5	.	.	PUNCT
cana-4535	162	1	e	e	X
cana-4535	162	2	,	,	PUNCT
cana-4535	162	3	iakovidis	iakovidi	NOUN
cana-4535	162	4	.	.	PUNCT
cana-4535	163	1	d	d	NOUN
cana-4535	163	2	and	and	CCONJ
cana-4535	163	3	maroulis	marouli	NOUN
cana-4535	163	4	.	.	PUNCT
cana-4535	164	1	d	d	X
cana-4535	164	2	fuzzy	fuzzy	ADJ
cana-4535	164	3	binary	binary	ADJ
cana-4535	164	4	patterns	pattern	NOUN
cana-4535	164	5	for	for	ADP
cana-4535	164	6	uncertainty	uncertainty	NOUN
cana-4535	164	7	aware	aware	ADJ
cana-4535	164	8	texture	texture	ADJ
cana-4535	164	9	representation	representation	NOUN
cana-4535	164	10	electron	electron	NOUN
cana-4535	164	11	.	.	PUNCT
cana-4535	165	1	lett	lett	PROPN
cana-4535	165	2	.	.	PUNCT
cana-4535	166	1	comput	comput	PROPN
cana-4535	166	2	.	.	PUNCT
cana-4535	167	1	vis	vis	X
cana-4535	167	2	.	.	PUNCT
cana-4535	167	3	image	image	NOUN
cana-4535	167	4	,	,	PUNCT
cana-4535	167	5	anal	anal	NOUN
cana-4535	167	6	.	.	PUNCT
cana-4535	168	1	10(1	10(1	NUM
cana-4535	168	2	)	)	PUNCT
cana-4535	168	3	,	,	PUNCT
cana-4535	168	4	63	63	NUM
cana-4535	168	5	-	-	SYM
cana-4535	168	6	78	78	NUM
cana-4535	168	7	2011	2011	NUM
cana-4535	168	8	.	.	PUNCT
cana-4535	169	1	[	[	X
cana-4535	169	2	10	10	NUM
cana-4535	169	3	]	]	X
cana-4535	169	4	nakharacruangsak	nakharacruangsak	ADJ
cana-4535	169	5	.	.	PUNCT
cana-4535	170	1	s	s	PROPN
cana-4535	170	2	,	,	PUNCT
cana-4535	170	3	sodanil	sodanil	NOUN
cana-4535	170	4	.	.	PUNCT
cana-4535	171	1	m	m	PROPN
cana-4535	171	2	and	and	CCONJ
cana-4535	171	3	nitsuwat	nitsuwat	ADJ
cana-4535	171	4	.	.	PUNCT
cana-4535	172	1	s	s	X
cana-4535	172	2	,	,	PUNCT
cana-4535	172	3	an	an	DET
cana-4535	172	4	improved	improve	VERB
cana-4535	172	5	local	local	ADJ
cana-4535	172	6	binary	binary	ADJ
cana-4535	172	7	pattern	pattern	NOUN
cana-4535	172	8	for	for	ADP
cana-4535	172	9	edge	edge	NOUN
cana-4535	172	10	detection	detection	NOUN
cana-4535	172	11	of	of	ADP
cana-4535	172	12	images	image	NOUN
cana-4535	172	13	,	,	PUNCT
cana-4535	172	14	ieee	ieee	NOUN
cana-4535	172	15	,	,	PUNCT
cana-4535	172	16	29	29	NUM
cana-4535	172	17	january	january	PROPN
cana-4535	172	18	2015	2015	NUM
cana-4535	172	19	.	.	PUNCT
cana-4535	173	1	[	[	X
cana-4535	173	2	11	11	NUM
cana-4535	173	3	]	]	X
cana-4535	173	4	navdeep	navdeep	PROPN
cana-4535	173	5	,	,	PUNCT
cana-4535	173	6	goyal	goyal	PROPN
cana-4535	173	7	.	.	PUNCT
cana-4535	174	1	s	s	X
cana-4535	174	2	,	,	PUNCT
cana-4535	174	3	rani	rani	NOUN
cana-4535	174	4	.	.	PUNCT
cana-4535	175	1	a	a	PRON
cana-4535	175	2	and	and	CCONJ
cana-4535	175	3	singh	singh	NOUN
cana-4535	175	4	.	.	PUNCT
cana-4535	176	1	v	v	ADP
cana-4535	176	2	an	an	DET
cana-4535	176	3	improved	improved	ADJ
cana-4535	176	4	local	local	ADJ
cana-4535	176	5	binary	binary	ADJ
cana-4535	176	6	pattern	pattern	NOUN
cana-4535	176	7	based	base	VERB
cana-4535	176	8	edge	edge	NOUN
cana-4535	176	9	detection	detection	NOUN
cana-4535	176	10	algorithm	algorithm	NOUN
cana-4535	176	11	for	for	ADP
cana-4535	176	12	noisy	noisy	ADJ
cana-4535	176	13	images	image	NOUN
cana-4535	176	14	,	,	PUNCT
cana-4535	176	15	journal	journal	NOUN
cana-4535	176	16	of	of	ADP
cana-4535	176	17	intelligent	intelligent	ADJ
cana-4535	176	18	and	and	CCONJ
cana-4535	176	19	fuzzy	fuzzy	ADJ
cana-4535	176	20	systems	system	NOUN
cana-4535	176	21	,	,	PUNCT
cana-4535	176	22	vol	vol	NOUN
cana-4535	176	23	.	.	PROPN
cana-4535	176	24	36	36	NUM
cana-4535	176	25	,	,	PUNCT
cana-4535	176	26	no	no	INTJ
cana-4535	176	27	.	.	NOUN
cana-4535	176	28	3	3	NUM
cana-4535	176	29	,	,	PUNCT
cana-4535	176	30	2043	2043	NUM
cana-4535	176	31	-	-	SYM
cana-4535	176	32	2054	2054	NUM
cana-4535	176	33	,	,	PUNCT
cana-4535	176	34	2019	2019	NUM
cana-4535	176	35	.	.	PUNCT
cana-4535	177	1	[	[	X
cana-4535	177	2	12	12	NUM
cana-4535	177	3	]	]	X
cana-4535	177	4	zeng	zeng	PROPN
cana-4535	177	5	.	.	PUNCT
cana-4535	178	1	l	l	PROPN
cana-4535	178	2	,	,	PUNCT
cana-4535	178	3	shen	shen	NOUN
cana-4535	178	4	.	.	PUNCT
cana-4535	179	1	k	k	PROPN
cana-4535	179	2	and	and	CCONJ
cana-4535	179	3	jiang	jiang	PROPN
cana-4535	179	4	.	.	PUNCT
cana-4535	180	1	h	h	NOUN
cana-4535	180	2	,	,	PUNCT
cana-4535	180	3	an	an	DET
cana-4535	180	4	effective	effective	ADJ
cana-4535	180	5	edge	edge	NOUN
cana-4535	180	6	extraction	extraction	NOUN
cana-4535	180	7	method	method	NOUN
cana-4535	180	8	using	use	VERB
cana-4535	180	9	improved	improve	VERB
cana-4535	180	10	local	local	ADJ
cana-4535	180	11	binary	binary	ADJ
cana-4535	180	12	pattern	pattern	NOUN
cana-4535	180	13	for	for	ADP
cana-4535	180	14	blurry	blurry	ADJ
cana-4535	180	15	digital	digital	ADJ
cana-4535	180	16	radiography	radiography	NOUN
cana-4535	180	17	images	image	NOUN
cana-4535	180	18	,	,	PUNCT
cana-4535	180	19	ndt	ndt	PROPN
cana-4535	180	20	and	and	CCONJ
cana-4535	180	21	e	e	PROPN
cana-4535	180	22	international	international	PROPN
cana-4535	180	23	,	,	PUNCT
cana-4535	180	24	vol	vol	NOUN
cana-4535	180	25	53	53	NUM
cana-4535	180	26	,	,	PUNCT
cana-4535	180	27	26	26	NUM
cana-4535	180	28	-	-	SYM
cana-4535	180	29	30	30	NUM
cana-4535	180	30	,	,	PUNCT
cana-4535	180	31	2013	2013	NUM
cana-4535	180	32	.	.	PUNCT
cana-4535	181	1	[	[	X
cana-4535	181	2	13	13	NUM
cana-4535	181	3	]	]	PUNCT
cana-4535	181	4	katsigiannis	katsigianni	NOUN
cana-4535	181	5	.	.	PUNCT
cana-4535	182	1	s	s	X
cana-4535	182	2	,	,	PUNCT
cana-4535	182	3	keramidas	keramidas	PROPN
cana-4535	182	4	.	.	PUNCT
cana-4535	183	1	e	e	NOUN
cana-4535	183	2	and	and	CCONJ
cana-4535	183	3	maroulis	marouli	NOUN
cana-4535	183	4	.	.	PUNCT
cana-4535	184	1	d	d	X
cana-4535	184	2	,	,	PUNCT
cana-4535	184	3	local	local	ADJ
cana-4535	184	4	binary	binary	ADJ
cana-4535	184	5	patterns	pattern	NOUN
cana-4535	184	6	:	:	PUNCT
cana-4535	184	7	new	new	ADJ
cana-4535	184	8	variants	variant	NOUN
cana-4535	184	9	and	and	CCONJ
cana-4535	184	10	applications	application	NOUN
cana-4535	184	11	,	,	PUNCT
cana-4535	184	12	springer	springer	NOUN
cana-4535	184	13	,	,	PUNCT
cana-4535	184	14	149	149	NUM
cana-4535	184	15	-	-	SYM
cana-4535	184	16	175	175	NUM
cana-4535	184	17	,	,	PUNCT
cana-4535	184	18	2013	2013	NUM
cana-4535	184	19	.	.	PUNCT
cana-4535	185	1	[	[	X
cana-4535	185	2	14	14	NUM
cana-4535	185	3	]	]	PUNCT
cana-4535	185	4	khehra	khehra	NOUN
cana-4535	185	5	mohar	mohar	PROPN
cana-4535	185	6	.	.	PUNCT
cana-4535	186	1	m.	m.	PROPN
cana-4535	186	2	k	k	PROPN
cana-4535	186	3	and	and	CCONJ
cana-4535	186	4	devgan	devgan	PROPN
cana-4535	186	5	.	.	PUNCT
cana-4535	187	1	m.	m.	PROPN
cana-4535	187	2	s.	s.	PROPN
cana-4535	187	3	,	,	PUNCT
cana-4535	187	4	gaussian	gaussian	ADJ
cana-4535	187	5	fuzzy	fuzzy	ADJ
cana-4535	187	6	membership	membership	NOUN
cana-4535	187	7	function	function	NOUN
cana-4535	187	8	for	for	ADP
cana-4535	187	9	enhancement	enhancement	NOUN
cana-4535	187	10	of	of	ADP
cana-4535	187	11	different	different	ADJ
cana-4535	187	12	medical	medical	ADJ
cana-4535	187	13	images	image	NOUN
cana-4535	187	14	,	,	PUNCT
cana-4535	187	15	scholars	scholar	NOUN
cana-4535	187	16	journal	journal	NOUN
cana-4535	187	17	of	of	ADP
cana-4535	187	18	engineering	engineering	NOUN
cana-4535	187	19	and	and	CCONJ
cana-4535	187	20	technology	technology	NOUN
cana-4535	187	21	,	,	PUNCT
cana-4535	187	22	vol	vol	NOUN
cana-4535	187	23	3(4c	3(4c	NUM
cana-4535	187	24	)	)	PUNCT
cana-4535	187	25	,	,	PUNCT
cana-4535	187	26	500	500	NUM
cana-4535	187	27	-	-	SYM
cana-4535	187	28	509	509	NUM
cana-4535	187	29	,	,	PUNCT
cana-4535	187	30	2015	2015	NUM
cana-4535	187	31	.	.	PUNCT
cana-4535	188	1	[	[	X
cana-4535	188	2	15	15	NUM
cana-4535	188	3	]	]	X
cana-4535	188	4	m.	m.	NOUN
cana-4535	188	5	mekideche	mekideche	NOUN
cana-4535	188	6	and	and	CCONJ
cana-4535	188	7	y.	y.	PROPN
cana-4535	188	8	ferdi	ferdi	PROPN
cana-4535	188	9	,	,	PUNCT
cana-4535	188	10	edge	edge	NOUN
cana-4535	188	11	detection	detection	NOUN
cana-4535	188	12	optimization	optimization	NOUN
cana-4535	188	13	using	use	VERB
cana-4535	188	14	fractional	fractional	ADJ
cana-4535	188	15	order	order	NOUN
cana-4535	188	16	calculus	calculus	NOUN
cana-4535	188	17	,	,	PUNCT
cana-4535	188	18	the	the	DET
cana-4535	188	19	international	international	ADJ
cana-4535	188	20	arab	arab	ADJ
cana-4535	188	21	journal	journal	PROPN
cana-4535	188	22	of	of	ADP
cana-4535	188	23	information	information	NOUN
cana-4535	188	24	technology	technology	NOUN
cana-4535	188	25	,	,	PUNCT
cana-4535	188	26	(	(	PUNCT
cana-4535	188	27	16	16	NUM
cana-4535	188	28	)	)	PUNCT
cana-4535	188	29	no	no	NOUN
cana-4535	188	30	.	.	NOUN
cana-4535	188	31	5	5	NUM
cana-4535	188	32	,	,	PUNCT
cana-4535	188	33	2019	2019	NUM
cana-4535	188	34	.	.	PUNCT
cana-4535	189	1	[	[	X
cana-4535	189	2	16	16	NUM
cana-4535	189	3	]	]	X
cana-4535	189	4	behzad	behzad	PROPN
cana-4535	189	5	ghanbari	ghanbari	PROPN
cana-4535	189	6	,	,	PUNCT
cana-4535	189	7	abdon	abdon	PROPN
cana-4535	189	8	atangana	atangana	PROPN
cana-4535	189	9	,	,	PUNCT
cana-4535	189	10	some	some	DET
cana-4535	189	11	new	new	ADJ
cana-4535	189	12	edge	edge	NOUN
cana-4535	189	13	detecting	detect	VERB
cana-4535	189	14	techniques	technique	NOUN
cana-4535	189	15	based	base	VERB
cana-4535	189	16	on	on	ADP
cana-4535	189	17	fractional	fractional	ADJ
cana-4535	189	18	derivatives	derivative	NOUN
cana-4535	189	19	with	with	ADP
cana-4535	189	20	non	non	ADJ
cana-4535	189	21	-	-	ADJ
cana-4535	189	22	local	local	ADJ
cana-4535	189	23	and	and	CCONJ
cana-4535	189	24	non	non	ADJ
cana-4535	189	25	-	-	ADJ
cana-4535	189	26	singular	singular	ADJ
cana-4535	189	27	kernels	kernel	NOUN
cana-4535	189	28	,	,	PUNCT
cana-4535	189	29	advances	advance	NOUN
cana-4535	189	30	in	in	ADP
cana-4535	189	31	difference	difference	NOUN
cana-4535	189	32	equations	equation	NOUN
cana-4535	189	33	435	435	NUM
cana-4535	189	34	(	(	PUNCT
cana-4535	189	35	2020	2020	NUM
cana-4535	189	36	)	)	PUNCT
cana-4535	189	37	.	.	PUNCT