id	sid	tid	token	lemma	pos
cana-1292	1	1	communications	communication	NOUN
cana-1292	1	2	on	on	ADP
cana-1292	1	3	applied	apply	VERB
cana-1292	1	4	nonlinear	nonlinear	ADJ
cana-1292	1	5	analysis	analysis	NOUN
cana-1292	1	6	issn	issn	NOUN
cana-1292	1	7	:	:	PUNCT
cana-1292	1	8	1074	1074	NUM
cana-1292	1	9	-	-	PUNCT
cana-1292	1	10	133x	133x	NUM
cana-1292	1	11	vol	vol	NOUN
cana-1292	1	12	31	31	NUM
cana-1292	1	13	no	no	NOUN
cana-1292	1	14	.	.	PUNCT
cana-1292	2	1	7s	7	NOUN
cana-1292	2	2	(	(	PUNCT
cana-1292	2	3	2024	2024	NUM
cana-1292	2	4	)	)	PUNCT
cana-1292	2	5	170	170	NUM
cana-1292	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1292	2	7	a	a	DET
cana-1292	2	8	comparative	comparative	ADJ
cana-1292	2	9	study	study	NOUN
cana-1292	2	10	of	of	ADP
cana-1292	2	11	fuzzy	fuzzy	ADJ
cana-1292	2	12	logic	logic	NOUN
cana-1292	2	13	type-1	type-1	PROPN
cana-1292	2	14	,	,	PUNCT
cana-1292	2	15	type-2	type-2	NUM
cana-1292	2	16	and	and	CCONJ
cana-1292	2	17	gradientbased	gradientbased	ADJ
cana-1292	2	18	method	method	NOUN
cana-1292	2	19	for	for	ADP
cana-1292	2	20	edge	edge	NOUN
cana-1292	2	21	detection	detection	NOUN
cana-1292	2	22	in	in	ADP
cana-1292	2	23	rgb	rgb	PROPN
cana-1292	2	24	images	image	NOUN
cana-1292	2	25	navita	navita	NOUN
cana-1292	2	26	dhaka1	dhaka1	PROPN
cana-1292	2	27	,	,	PUNCT
cana-1292	2	28	dr	dr	PROPN
cana-1292	2	29	meenakshi	meenakshi	PROPN
cana-1292	2	30	hooda2	hooda2	PROPN
cana-1292	2	31	*	*	PROPN
cana-1292	2	32	,	,	PUNCT
cana-1292	2	33	dr	dr	PROPN
cana-1292	2	34	sumeet	sumeet	PROPN
cana-1292	2	35	gill3	gill3	PROPN
cana-1292	2	36	,	,	PUNCT
cana-1292	2	37	vinita	vinita	PROPN
cana-1292	2	38	yadav4	yadav4	PROPN
cana-1292	2	39	1,4	1,4	NUM
cana-1292	2	40	,	,	PUNCT
cana-1292	2	41	research	research	NOUN
cana-1292	2	42	scholar	scholar	NOUN
cana-1292	2	43	,	,	PUNCT
cana-1292	2	44	department	department	NOUN
cana-1292	2	45	of	of	ADP
cana-1292	2	46	mathematics	mathematics	PROPN
cana-1292	2	47	,	,	PUNCT
cana-1292	2	48	maharshi	maharshi	PROPN
cana-1292	2	49	dayanand	dayanand	PROPN
cana-1292	2	50	university	university	PROPN
cana-1292	2	51	rohtak,124001	rohtak,124001	PROPN
cana-1292	2	52	,	,	PUNCT
cana-1292	2	53	haryana	haryana	PROPN
cana-1292	2	54	,	,	PUNCT
cana-1292	2	55	india	india	PROPN
cana-1292	2	56	2*assistant	2*assistant	PROPN
cana-1292	2	57	professor	professor	NOUN
cana-1292	2	58	,	,	PUNCT
cana-1292	2	59	department	department	NOUN
cana-1292	2	60	of	of	ADP
cana-1292	2	61	mathematics	mathematics	PROPN
cana-1292	2	62	,	,	PUNCT
cana-1292	2	63	maharshi	maharshi	PROPN
cana-1292	2	64	dayanand	dayanand	PROPN
cana-1292	2	65	university	university	PROPN
cana-1292	2	66	rohtak,124001	rohtak,124001	PROPN
cana-1292	2	67	,	,	PUNCT
cana-1292	2	68	haryana	haryana	PROPN
cana-1292	2	69	india	india	PROPN
cana-1292	2	70	3professor	3professor	NUM
cana-1292	2	71	,	,	PUNCT
cana-1292	2	72	department	department	NOUN
cana-1292	2	73	of	of	ADP
cana-1292	2	74	mathematics	mathematics	PROPN
cana-1292	2	75	,	,	PUNCT
cana-1292	2	76	maharshi	maharshi	PROPN
cana-1292	2	77	dayanand	dayanand	PROPN
cana-1292	2	78	university	university	PROPN
cana-1292	2	79	rohtak	rohtak	PROPN
cana-1292	2	80	,	,	PUNCT
cana-1292	2	81	haryana	haryana	PROPN
cana-1292	2	82	india	india	PROPN
cana-1292	2	83	corresponding	corresponding	PROPN
cana-1292	2	84	author(2	author(2	PROPN
cana-1292	2	85	*	*	X
cana-1292	2	86	)	)	PUNCT
cana-1292	2	87	–	–	PUNCT
cana-1292	2	88	meenakshi.maths@mdurohtak.ac.in	meenakshi.maths@mdurohtak.ac.in	VERB
cana-1292	2	89	contributing	contribute	VERB
cana-1292	2	90	author(1	author(1	PROPN
cana-1292	2	91	)	)	PUNCT
cana-1292	2	92	navita.rs.maths@mdurohtak.ac.in	navita.rs.maths@mdurohtak.ac.in	NOUN
cana-1292	2	93	article	article	NOUN
cana-1292	2	94	history	history	NOUN
cana-1292	2	95	:	:	PUNCT
cana-1292	2	96	received	receive	VERB
cana-1292	2	97	:	:	PUNCT
cana-1292	2	98	01	01	NUM
cana-1292	2	99	-	-	PUNCT
cana-1292	2	100	06	06	NUM
cana-1292	2	101	-	-	PUNCT
cana-1292	2	102	2024	2024	NUM
cana-1292	2	103	revised	revise	VERB
cana-1292	2	104	:	:	PUNCT
cana-1292	2	105	03	03	NUM
cana-1292	2	106	-	-	PUNCT
cana-1292	2	107	07	07	NUM
cana-1292	2	108	-	-	PUNCT
cana-1292	2	109	2024	2024	NUM
cana-1292	2	110	accepted	accept	VERB
cana-1292	2	111	:	:	PUNCT
cana-1292	2	112	29	29	NUM
cana-1292	2	113	-	-	SYM
cana-1292	2	114	07	07	NUM
cana-1292	2	115	-	-	PUNCT
cana-1292	2	116	2024	2024	NUM
cana-1292	2	117	abstract	abstract	NOUN
cana-1292	2	118	:	:	PUNCT
cana-1292	2	119	edge	edge	NOUN
cana-1292	2	120	detection	detection	NOUN
cana-1292	2	121	is	be	AUX
cana-1292	2	122	widely	widely	ADV
cana-1292	2	123	used	use	VERB
cana-1292	2	124	in	in	ADP
cana-1292	2	125	image	image	NOUN
cana-1292	2	126	processing	processing	NOUN
cana-1292	2	127	to	to	PART
cana-1292	2	128	simplify	simplify	VERB
cana-1292	2	129	the	the	DET
cana-1292	2	130	images	image	NOUN
cana-1292	2	131	by	by	ADP
cana-1292	2	132	reducing	reduce	VERB
cana-1292	2	133	data	datum	NOUN
cana-1292	2	134	.	.	PUNCT
cana-1292	3	1	it	it	PRON
cana-1292	3	2	emphasizes	emphasize	VERB
cana-1292	3	3	essential	essential	ADJ
cana-1292	3	4	features	feature	NOUN
cana-1292	3	5	and	and	CCONJ
cana-1292	3	6	thereby	thereby	ADV
cana-1292	3	7	enhances	enhance	VERB
cana-1292	3	8	data	datum	NOUN
cana-1292	3	9	processing	processing	NOUN
cana-1292	3	10	speed	speed	NOUN
cana-1292	3	11	.	.	PUNCT
cana-1292	4	1	edge	edge	NOUN
cana-1292	4	2	detection	detection	NOUN
cana-1292	4	3	techniques	technique	NOUN
cana-1292	4	4	are	be	AUX
cana-1292	4	5	widely	widely	ADV
cana-1292	4	6	used	use	VERB
cana-1292	4	7	in	in	ADP
cana-1292	4	8	the	the	DET
cana-1292	4	9	fields	field	NOUN
cana-1292	4	10	of	of	ADP
cana-1292	4	11	medical	medical	ADJ
cana-1292	4	12	imaging	imaging	NOUN
cana-1292	4	13	,	,	PUNCT
cana-1292	4	14	vehicle	vehicle	NOUN
cana-1292	4	15	detection	detection	NOUN
cana-1292	4	16	,	,	PUNCT
cana-1292	4	17	fingerprint	fingerprint	NOUN
cana-1292	4	18	recognition	recognition	NOUN
cana-1292	4	19	,	,	PUNCT
cana-1292	4	20	robotic	robotic	ADJ
cana-1292	4	21	vision	vision	NOUN
cana-1292	4	22	,	,	PUNCT
cana-1292	4	23	steganography	steganography	NOUN
cana-1292	4	24	,	,	PUNCT
cana-1292	4	25	feature	feature	NOUN
cana-1292	4	26	extraction	extraction	NOUN
cana-1292	4	27	,	,	PUNCT
cana-1292	4	28	security	security	NOUN
cana-1292	4	29	etc	etc	X
cana-1292	4	30	.	.	X
cana-1292	5	1	this	this	DET
cana-1292	5	2	research	research	NOUN
cana-1292	5	3	paper	paper	NOUN
cana-1292	5	4	presents	present	VERB
cana-1292	5	5	a	a	DET
cana-1292	5	6	comparative	comparative	ADJ
cana-1292	5	7	analysis	analysis	NOUN
cana-1292	5	8	of	of	ADP
cana-1292	5	9	different	different	ADJ
cana-1292	5	10	edge	edge	NOUN
cana-1292	5	11	detection	detection	NOUN
cana-1292	5	12	techniques	technique	NOUN
cana-1292	5	13	based	base	VERB
cana-1292	5	14	on	on	ADP
cana-1292	5	15	gradient	gradient	ADJ
cana-1292	5	16	fuzzy	fuzzy	ADJ
cana-1292	5	17	type-1	type-1	PROPN
cana-1292	5	18	and	and	CCONJ
cana-1292	5	19	fuzzy	fuzzy	ADJ
cana-1292	5	20	type-2	type-2	PROPN
cana-1292	5	21	.	.	PUNCT
cana-1292	6	1	the	the	DET
cana-1292	6	2	researcher	researcher	NOUN
cana-1292	6	3	has	have	AUX
cana-1292	6	4	experimentally	experimentally	ADV
cana-1292	6	5	evaluated	evaluate	VERB
cana-1292	6	6	the	the	DET
cana-1292	6	7	edges	edge	NOUN
cana-1292	6	8	detected	detect	VERB
cana-1292	6	9	using	use	VERB
cana-1292	6	10	prewitt	prewitt	PROPN
cana-1292	6	11	operator	operator	NOUN
cana-1292	6	12	based	base	VERB
cana-1292	6	13	on	on	ADP
cana-1292	6	14	gradients	gradient	NOUN
cana-1292	6	15	,	,	PUNCT
cana-1292	6	16	mshedgergb_t1	mshedgergb_t1	ADJ
cana-1292	6	17	algorithm	algorithm	NOUN
cana-1292	6	18	based	base	VERB
cana-1292	6	19	on	on	ADP
cana-1292	6	20	fuzzy	fuzzy	ADJ
cana-1292	6	21	type-1	type-1	NUM
cana-1292	6	22	logic	logic	NOUN
cana-1292	6	23	and	and	CCONJ
cana-1292	6	24	mshedgergb_t2	mshedgergb_t2	ADJ
cana-1292	6	25	algorithm	algorithm	NOUN
cana-1292	6	26	based	base	VERB
cana-1292	6	27	on	on	ADP
cana-1292	6	28	fuzzy	fuzzy	ADJ
cana-1292	6	29	type-2	type-2	NUM
cana-1292	6	30	logic	logic	NOUN
cana-1292	6	31	.	.	PUNCT
cana-1292	7	1	the	the	DET
cana-1292	7	2	results	result	NOUN
cana-1292	7	3	reveal	reveal	VERB
cana-1292	7	4	that	that	SCONJ
cana-1292	7	5	edge	edge	NOUN
cana-1292	7	6	pixels	pixel	NOUN
cana-1292	7	7	detected	detect	VERB
cana-1292	7	8	by	by	ADP
cana-1292	7	9	using	use	VERB
cana-1292	7	10	algorithms	algorithm	NOUN
cana-1292	7	11	based	base	VERB
cana-1292	7	12	on	on	ADP
cana-1292	7	13	fuzzy	fuzzy	ADJ
cana-1292	7	14	logic	logic	NOUN
cana-1292	7	15	are	be	AUX
cana-1292	7	16	more	more	ADJ
cana-1292	7	17	in	in	ADP
cana-1292	7	18	comparison	comparison	NOUN
cana-1292	7	19	to	to	ADP
cana-1292	7	20	gradient	gradient	NOUN
cana-1292	7	21	based	base	VERB
cana-1292	7	22	prewitt	prewitt	PROPN
cana-1292	7	23	operator	operator	NOUN
cana-1292	7	24	.	.	PUNCT
cana-1292	8	1	the	the	DET
cana-1292	8	2	paper	paper	NOUN
cana-1292	8	3	also	also	ADV
cana-1292	8	4	shows	show	VERB
cana-1292	8	5	a	a	DET
cana-1292	8	6	comparative	comparative	ADJ
cana-1292	8	7	analysis	analysis	NOUN
cana-1292	8	8	of	of	ADP
cana-1292	8	9	edges	edge	NOUN
cana-1292	8	10	detected	detect	VERB
cana-1292	8	11	by	by	ADP
cana-1292	8	12	algorithms	algorithm	NOUN
cana-1292	8	13	based	base	VERB
cana-1292	8	14	on	on	ADP
cana-1292	8	15	fuzzy	fuzzy	ADJ
cana-1292	8	16	logic	logic	NOUN
cana-1292	8	17	for	for	ADP
cana-1292	8	18	different	different	ADJ
cana-1292	8	19	ranges	range	NOUN
cana-1292	8	20	of	of	ADP
cana-1292	8	21	membership	membership	NOUN
cana-1292	8	22	values	value	NOUN
cana-1292	8	23	of	of	ADP
cana-1292	8	24	pixels	pixel	NOUN
cana-1292	8	25	in	in	ADP
cana-1292	8	26	fuzzy	fuzzy	ADJ
cana-1292	8	27	edge	edge	NOUN
cana-1292	8	28	set	set	NOUN
cana-1292	8	29	.	.	PUNCT
cana-1292	9	1	keywords	keyword	NOUN
cana-1292	9	2	:	:	PUNCT
cana-1292	9	3	fuzzy	fuzzy	ADJ
cana-1292	9	4	type-1	type-1	NUM
cana-1292	9	5	logic	logic	NOUN
cana-1292	9	6	,	,	PUNCT
cana-1292	9	7	fuzzy	fuzzy	ADJ
cana-1292	9	8	type-2	type-2	NUM
cana-1292	9	9	logic	logic	NOUN
cana-1292	9	10	,	,	PUNCT
cana-1292	9	11	edge	edge	NOUN
cana-1292	9	12	detection	detection	NOUN
cana-1292	9	13	,	,	PUNCT
cana-1292	9	14	prewitt	prewitt	PROPN
cana-1292	9	15	operator	operator	NOUN
cana-1292	9	16	.	.	PUNCT
cana-1292	10	1	1	1	X
cana-1292	10	2	.	.	X
cana-1292	10	3	introduction	introduction	NOUN
cana-1292	10	4	edge	edge	NOUN
cana-1292	10	5	detection	detection	NOUN
cana-1292	10	6	is	be	AUX
cana-1292	10	7	crucial	crucial	ADJ
cana-1292	10	8	in	in	ADP
cana-1292	10	9	image	image	NOUN
cana-1292	10	10	analysis	analysis	NOUN
cana-1292	10	11	,	,	PUNCT
cana-1292	10	12	playing	play	VERB
cana-1292	10	13	a	a	DET
cana-1292	10	14	key	key	ADJ
cana-1292	10	15	role	role	NOUN
cana-1292	10	16	in	in	ADP
cana-1292	10	17	fields	field	NOUN
cana-1292	10	18	such	such	ADJ
cana-1292	10	19	as	as	ADP
cana-1292	10	20	feature	feature	NOUN
cana-1292	10	21	extraction	extraction	NOUN
cana-1292	10	22	,	,	PUNCT
cana-1292	10	23	image	image	NOUN
cana-1292	10	24	segmentation	segmentation	NOUN
cana-1292	10	25	and	and	CCONJ
cana-1292	10	26	pattern	pattern	NOUN
cana-1292	10	27	recognition	recognition	NOUN
cana-1292	10	28	.	.	PUNCT
cana-1292	11	1	this	this	PRON
cana-1292	11	2	makes	make	VERB
cana-1292	11	3	edge	edge	NOUN
cana-1292	11	4	detection	detection	NOUN
cana-1292	11	5	a	a	DET
cana-1292	11	6	fundamental	fundamental	ADJ
cana-1292	11	7	process	process	NOUN
cana-1292	11	8	in	in	ADP
cana-1292	11	9	the	the	DET
cana-1292	11	10	field	field	NOUN
cana-1292	11	11	of	of	ADP
cana-1292	11	12	image	image	NOUN
cana-1292	11	13	processing	processing	NOUN
cana-1292	11	14	[	[	X
cana-1292	11	15	4	4	NUM
cana-1292	11	16	]	]	PUNCT
cana-1292	11	17	.	.	PUNCT
cana-1292	12	1	edges	edge	NOUN
cana-1292	12	2	are	be	AUX
cana-1292	12	3	the	the	DET
cana-1292	12	4	visible	visible	ADJ
cana-1292	12	5	lines	line	NOUN
cana-1292	12	6	that	that	PRON
cana-1292	12	7	separate	separate	VERB
cana-1292	12	8	different	different	ADJ
cana-1292	12	9	objects	object	NOUN
cana-1292	12	10	or	or	CCONJ
cana-1292	12	11	textures	texture	NOUN
cana-1292	12	12	in	in	ADP
cana-1292	12	13	an	an	DET
cana-1292	12	14	image	image	NOUN
cana-1292	12	15	.	.	PUNCT
cana-1292	13	1	they	they	PRON
cana-1292	13	2	are	be	AUX
cana-1292	13	3	,	,	PUNCT
cana-1292	13	4	where	where	SCONJ
cana-1292	13	5	the	the	DET
cana-1292	13	6	image	image	NOUN
cana-1292	13	7	changes	change	VERB
cana-1292	13	8	quickly	quickly	ADV
cana-1292	13	9	from	from	ADP
cana-1292	13	10	one	one	NUM
cana-1292	13	11	colour	colour	NOUN
cana-1292	13	12	or	or	CCONJ
cana-1292	13	13	brightness	brightness	NOUN
cana-1292	13	14	to	to	ADP
cana-1292	13	15	another	another	PRON
cana-1292	13	16	.	.	PUNCT
cana-1292	14	1	in	in	ADP
cana-1292	14	2	terms	term	NOUN
cana-1292	14	3	of	of	ADP
cana-1292	14	4	frequency	frequency	NOUN
cana-1292	14	5	,	,	PUNCT
cana-1292	14	6	edges	edge	NOUN
cana-1292	14	7	have	have	VERB
cana-1292	14	8	higher	high	ADJ
cana-1292	14	9	frequencies	frequency	NOUN
cana-1292	14	10	compared	compare	VERB
cana-1292	14	11	to	to	ADP
cana-1292	14	12	other	other	ADJ
cana-1292	14	13	parts	part	NOUN
cana-1292	14	14	of	of	ADP
cana-1292	14	15	the	the	DET
cana-1292	14	16	image	image	NOUN
cana-1292	14	17	[	[	X
cana-1292	14	18	1	1	NUM
cana-1292	14	19	]	]	PUNCT
cana-1292	14	20	.	.	PUNCT
cana-1292	15	1	in	in	ADP
cana-1292	15	2	recent	recent	ADJ
cana-1292	15	3	decades	decade	NOUN
cana-1292	15	4	,	,	PUNCT
cana-1292	15	5	most	most	ADJ
cana-1292	15	6	of	of	ADP
cana-1292	15	7	the	the	DET
cana-1292	15	8	research	research	NOUN
cana-1292	15	9	work	work	NOUN
cana-1292	15	10	focused	focus	VERB
cana-1292	15	11	on	on	ADP
cana-1292	15	12	edge	edge	NOUN
cana-1292	15	13	-	-	PUNCT
cana-1292	15	14	detection	detection	NOUN
cana-1292	15	15	algorithms	algorithm	NOUN
cana-1292	15	16	for	for	ADP
cana-1292	15	17	grayscale	grayscale	NOUN
cana-1292	15	18	images	image	NOUN
cana-1292	15	19	.	.	PUNCT
cana-1292	16	1	however	however	ADV
cana-1292	16	2	,	,	PUNCT
cana-1292	16	3	colour	colour	NOUN
cana-1292	16	4	image	image	NOUN
cana-1292	16	5	processing	processing	NOUN
cana-1292	16	6	has	have	AUX
cana-1292	16	7	gained	gain	VERB
cana-1292	16	8	more	more	ADJ
cana-1292	16	9	attention	attention	NOUN
cana-1292	16	10	these	these	DET
cana-1292	16	11	days	day	NOUN
cana-1292	16	12	because	because	SCONJ
cana-1292	16	13	it	it	PRON
cana-1292	16	14	provides	provide	VERB
cana-1292	16	15	more	more	ADV
cana-1292	16	16	detailed	detailed	ADJ
cana-1292	16	17	information	information	NOUN
cana-1292	16	18	about	about	ADP
cana-1292	16	19	objects	object	NOUN
cana-1292	16	20	in	in	ADP
cana-1292	16	21	a	a	DET
cana-1292	16	22	scene	scene	NOUN
cana-1292	16	23	,	,	PUNCT
cana-1292	16	24	enhancing	enhance	VERB
cana-1292	16	25	image	image	NOUN
cana-1292	16	26	processing	processing	NOUN
cana-1292	16	27	performance	performance	NOUN
cana-1292	16	28	.	.	PUNCT
cana-1292	17	1	while	while	SCONJ
cana-1292	17	2	edge	edge	VERB
cana-1292	17	3	detection	detection	NOUN
cana-1292	17	4	in	in	ADP
cana-1292	17	5	colour	colour	NOUN
cana-1292	17	6	images	image	NOUN
cana-1292	17	7	is	be	AUX
cana-1292	17	8	more	more	ADV
cana-1292	17	9	complex	complex	ADJ
cana-1292	17	10	computationally	computationally	ADV
cana-1292	17	11	,	,	PUNCT
cana-1292	17	12	it	it	PRON
cana-1292	17	13	offers	offer	VERB
cana-1292	17	14	significant	significant	ADJ
cana-1292	17	15	advantages	advantage	NOUN
cana-1292	17	16	,	,	PUNCT
cana-1292	17	17	such	such	ADJ
cana-1292	17	18	as	as	ADP
cana-1292	17	19	improved	improve	VERB
cana-1292	17	20	object	object	NOUN
cana-1292	17	21	location	location	NOUN
cana-1292	17	22	accuracy	accuracy	NOUN
cana-1292	17	23	and	and	CCONJ
cana-1292	17	24	the	the	DET
cana-1292	17	25	ability	ability	NOUN
cana-1292	17	26	to	to	PART
cana-1292	17	27	process	process	VERB
cana-1292	17	28	more	more	ADJ
cana-1292	17	29	complex	complex	ADJ
cana-1292	17	30	images	image	NOUN
cana-1292	17	31	[	[	X
cana-1292	17	32	2	2	NUM
cana-1292	17	33	]	]	PUNCT
cana-1292	17	34	.	.	PUNCT
cana-1292	18	1	image	image	NOUN
cana-1292	18	2	edge	edge	NOUN
cana-1292	18	3	detection	detection	NOUN
cana-1292	18	4	can	can	AUX
cana-1292	18	5	broadly	broadly	ADV
cana-1292	18	6	be	be	AUX
cana-1292	18	7	categorized	categorize	VERB
cana-1292	18	8	into	into	ADP
cana-1292	18	9	two	two	NUM
cana-1292	18	10	types	type	NOUN
cana-1292	18	11	i.e.	i.e.	X
cana-1292	18	12	gradient	gradient	NOUN
cana-1292	18	13	-	-	PUNCT
cana-1292	18	14	based	base	VERB
cana-1292	18	15	and	and	CCONJ
cana-1292	18	16	gaussianbased	gaussianbase	VERB
cana-1292	18	17	edge	edge	NOUN
cana-1292	18	18	detectors	detector	NOUN
cana-1292	18	19	.	.	PUNCT
cana-1292	19	1	gradient	gradient	NOUN
cana-1292	19	2	-	-	PUNCT
cana-1292	19	3	based	base	VERB
cana-1292	19	4	edge	edge	NOUN
cana-1292	19	5	operators	operator	NOUN
cana-1292	19	6	include	include	VERB
cana-1292	19	7	canny	canny	ADJ
cana-1292	19	8	,	,	PUNCT
cana-1292	19	9	sobel	sobel	NOUN
cana-1292	19	10	and	and	CCONJ
cana-1292	19	11	prewitt	prewitt	PROPN
cana-1292	19	12	operators	operator	NOUN
cana-1292	19	13	,	,	PUNCT
cana-1292	19	14	while	while	SCONJ
cana-1292	19	15	gaussian	gaussian	NOUN
cana-1292	19	16	-	-	PUNCT
cana-1292	19	17	based	base	VERB
cana-1292	19	18	edge	edge	NOUN
cana-1292	19	19	operators	operator	NOUN
cana-1292	19	20	include	include	VERB
cana-1292	19	21	laplacian	laplacian	NOUN
cana-1292	19	22	of	of	ADP
cana-1292	19	23	gaussian	gaussian	NOUN
cana-1292	19	24	(	(	PUNCT
cana-1292	19	25	log	log	NOUN
cana-1292	19	26	)	)	PUNCT
cana-1292	19	27	operators	operator	NOUN
cana-1292	19	28	.	.	PUNCT
cana-1292	20	1	the	the	DET
cana-1292	20	2	gradient	gradient	NOUN
cana-1292	20	3	-	-	PUNCT
cana-1292	20	4	based	base	VERB
cana-1292	20	5	edge	edge	NOUN
cana-1292	20	6	detectors	detector	NOUN
cana-1292	20	7	calculate	calculate	VERB
cana-1292	20	8	first	first	ADJ
cana-1292	20	9	-	-	PUNCT
cana-1292	20	10	order	order	NOUN
cana-1292	20	11	derivatives	derivative	NOUN
cana-1292	20	12	and	and	CCONJ
cana-1292	20	13	gaussian	gaussian	NOUN
cana-1292	20	14	-	-	PUNCT
cana-1292	20	15	based	base	VERB
cana-1292	20	16	edge	edge	NOUN
cana-1292	20	17	detectors	detector	NOUN
cana-1292	20	18	calculate	calculate	VERB
cana-1292	20	19	the	the	DET
cana-1292	20	20	second	second	ADJ
cana-1292	20	21	order	order	NOUN
cana-1292	20	22	derivatives	derivative	NOUN
cana-1292	20	23	of	of	ADP
cana-1292	20	24	image	image	NOUN
cana-1292	20	25	pixels	pixel	NOUN
cana-1292	20	26	to	to	PART
cana-1292	20	27	find	find	VERB
cana-1292	20	28	the	the	DET
cana-1292	20	29	edges	edge	NOUN
cana-1292	20	30	of	of	ADP
cana-1292	20	31	any	any	DET
cana-1292	20	32	digital	digital	ADJ
cana-1292	20	33	image	image	NOUN
cana-1292	21	1	[	[	X
cana-1292	21	2	6	6	NUM
cana-1292	21	3	]	]	PUNCT
cana-1292	21	4	.	.	PUNCT
cana-1292	22	1	in	in	ADP
cana-1292	22	2	this	this	DET
cana-1292	22	3	paper	paper	NOUN
cana-1292	22	4	,	,	PUNCT
cana-1292	22	5	we	we	PRON
cana-1292	22	6	used	use	VERB
cana-1292	22	7	communications	communication	NOUN
cana-1292	22	8	on	on	ADP
cana-1292	22	9	applied	apply	VERB
cana-1292	22	10	nonlinear	nonlinear	ADJ
cana-1292	22	11	analysis	analysis	NOUN
cana-1292	22	12	issn	issn	NOUN
cana-1292	22	13	:	:	PUNCT
cana-1292	22	14	1074	1074	NUM
cana-1292	22	15	-	-	PUNCT
cana-1292	22	16	133x	133x	NUM
cana-1292	22	17	vol	vol	NOUN
cana-1292	22	18	31	31	NUM
cana-1292	22	19	no	no	NOUN
cana-1292	22	20	.	.	PUNCT
cana-1292	23	1	7s	7	NOUN
cana-1292	23	2	(	(	PUNCT
cana-1292	23	3	2024	2024	NUM
cana-1292	23	4	)	)	PUNCT
cana-1292	24	1	171	171	NUM
cana-1292	24	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1292	24	3	gradient	gradient	NOUN
cana-1292	24	4	-	-	PUNCT
cana-1292	24	5	based	base	VERB
cana-1292	24	6	prewitt	prewitt	PROPN
cana-1292	24	7	operator	operator	NOUN
cana-1292	24	8	for	for	ADP
cana-1292	24	9	comparison	comparison	NOUN
cana-1292	24	10	with	with	ADP
cana-1292	24	11	algorithms	algorithm	NOUN
cana-1292	24	12	based	base	VERB
cana-1292	24	13	on	on	ADP
cana-1292	24	14	fuzzy	fuzzy	ADJ
cana-1292	24	15	type-1	type-1	PROPN
cana-1292	24	16	and	and	CCONJ
cana-1292	24	17	fuzzy	fuzzy	ADJ
cana-1292	24	18	type-2	type-2	NUM
cana-1292	24	19	logic	logic	NOUN
cana-1292	24	20	.	.	PUNCT
cana-1292	25	1	in	in	ADP
cana-1292	25	2	a	a	DET
cana-1292	25	3	wide	wide	ADJ
cana-1292	25	4	range	range	NOUN
cana-1292	25	5	of	of	ADP
cana-1292	25	6	important	important	ADJ
cana-1292	25	7	applications	application	NOUN
cana-1292	25	8	,	,	PUNCT
cana-1292	25	9	edge	edge	NOUN
cana-1292	25	10	detection	detection	NOUN
cana-1292	25	11	and	and	CCONJ
cana-1292	25	12	image	image	NOUN
cana-1292	25	13	segmentation	segmentation	NOUN
cana-1292	25	14	techniques	technique	NOUN
cana-1292	25	15	are	be	AUX
cana-1292	25	16	frequently	frequently	ADV
cana-1292	25	17	used	use	VERB
cana-1292	25	18	.	.	PUNCT
cana-1292	26	1	fuzzy	fuzzy	ADJ
cana-1292	26	2	rule	rule	NOUN
cana-1292	26	3	-	-	PUNCT
cana-1292	26	4	based	base	VERB
cana-1292	26	5	classifiers	classifier	NOUN
cana-1292	26	6	have	have	AUX
cana-1292	26	7	been	be	AUX
cana-1292	26	8	employed	employ	VERB
cana-1292	26	9	in	in	ADP
cana-1292	26	10	various	various	ADJ
cana-1292	26	11	tasks	task	NOUN
cana-1292	26	12	,	,	PUNCT
cana-1292	26	13	including	include	VERB
cana-1292	26	14	selflocalization	selflocalization	NOUN
cana-1292	26	15	and	and	CCONJ
cana-1292	26	16	landmark	landmark	NOUN
cana-1292	26	17	identification	identification	NOUN
cana-1292	26	18	,	,	PUNCT
cana-1292	26	19	data	datum	NOUN
cana-1292	26	20	density	density	NOUN
cana-1292	26	21	estimation	estimation	NOUN
cana-1292	26	22	,	,	PUNCT
cana-1292	26	23	real	real	ADJ
cana-1292	26	24	-	-	PUNCT
cana-1292	26	25	time	time	NOUN
cana-1292	26	26	object	object	NOUN
cana-1292	26	27	detection	detection	NOUN
cana-1292	26	28	and	and	CCONJ
cana-1292	26	29	human	human	ADJ
cana-1292	26	30	activity	activity	NOUN
cana-1292	26	31	recognition	recognition	NOUN
cana-1292	26	32	[	[	X
cana-1292	26	33	7	7	NUM
cana-1292	26	34	]	]	PUNCT
cana-1292	26	35	.	.	PUNCT
cana-1292	27	1	in	in	ADP
cana-1292	27	2	this	this	DET
cana-1292	27	3	paper	paper	NOUN
cana-1292	27	4	,	,	PUNCT
cana-1292	27	5	we	we	PRON
cana-1292	27	6	evaluate	evaluate	VERB
cana-1292	27	7	edge	edge	NOUN
cana-1292	27	8	detection	detection	NOUN
cana-1292	27	9	algorithms	algorithm	NOUN
cana-1292	27	10	based	base	VERB
cana-1292	27	11	on	on	ADP
cana-1292	27	12	fuzzy	fuzzy	ADJ
cana-1292	27	13	type-1	type-1	PROPN
cana-1292	27	14	and	and	CCONJ
cana-1292	27	15	fuzzy	fuzzy	ADJ
cana-1292	27	16	type-2	type-2	NUM
cana-1292	27	17	inference	inference	NOUN
cana-1292	27	18	systems	system	NOUN
cana-1292	27	19	and	and	CCONJ
cana-1292	27	20	show	show	VERB
cana-1292	27	21	the	the	DET
cana-1292	27	22	comparison	comparison	NOUN
cana-1292	27	23	to	to	PART
cana-1292	27	24	analyse	analyse	VERB
cana-1292	27	25	that	that	DET
cana-1292	27	26	algorithm	algorithm	NOUN
cana-1292	27	27	which	which	PRON
cana-1292	27	28	detects	detect	VERB
cana-1292	27	29	more	more	ADJ
cana-1292	27	30	edge	edge	NOUN
cana-1292	27	31	pixels	pixel	NOUN
cana-1292	27	32	.	.	PUNCT
cana-1292	28	1	the	the	DET
cana-1292	28	2	experimental	experimental	ADJ
cana-1292	28	3	results	result	NOUN
cana-1292	28	4	are	be	AUX
cana-1292	28	5	compared	compare	VERB
cana-1292	28	6	for	for	ADP
cana-1292	28	7	psnr	psnr	NOUN
cana-1292	28	8	,	,	PUNCT
cana-1292	28	9	mse	mse	NOUN
cana-1292	28	10	and	and	CCONJ
cana-1292	28	11	energy	energy	NOUN
cana-1292	28	12	ratio	ratio	NOUN
cana-1292	28	13	.	.	PUNCT
cana-1292	29	1	balochain	balochain	PROPN
cana-1292	29	2	et	et	PROPN
cana-1292	29	3	al	al	PROPN
cana-1292	29	4	.	.	PROPN
cana-1292	29	5	worked	work	VERB
cana-1292	29	6	on	on	ADP
cana-1292	29	7	the	the	DET
cana-1292	29	8	classical	classical	ADJ
cana-1292	29	9	prewitt	prewitt	PROPN
cana-1292	29	10	operator	operator	NOUN
cana-1292	29	11	,	,	PUNCT
cana-1292	29	12	calculating	calculate	VERB
cana-1292	29	13	the	the	DET
cana-1292	29	14	derivatives	derivative	NOUN
cana-1292	29	15	along	along	ADP
cana-1292	29	16	the	the	DET
cana-1292	29	17	x	x	NOUN
cana-1292	29	18	and	and	CCONJ
cana-1292	29	19	y	y	PROPN
cana-1292	29	20	directions	direction	NOUN
cana-1292	29	21	using	use	VERB
cana-1292	29	22	fractional	fractional	ADJ
cana-1292	29	23	order	order	NOUN
cana-1292	29	24	derivative	derivative	NOUN
cana-1292	29	25	(	(	PUNCT
cana-1292	29	26	fod	fod	PROPN
cana-1292	29	27	)	)	PUNCT
cana-1292	29	28	to	to	PART
cana-1292	29	29	improve	improve	VERB
cana-1292	29	30	edge	edge	NOUN
cana-1292	29	31	detection	detection	NOUN
cana-1292	29	32	capability	capability	NOUN
cana-1292	30	1	[	[	X
cana-1292	30	2	1	1	NUM
cana-1292	30	3	]	]	PUNCT
cana-1292	30	4	.	.	PUNCT
cana-1292	31	1	in	in	ADP
cana-1292	31	2	[	[	X
cana-1292	31	3	2	2	NUM
cana-1292	31	4	]	]	PUNCT
cana-1292	31	5	,	,	PUNCT
cana-1292	31	6	gonzalez	gonzalez	PROPN
cana-1292	31	7	presented	present	VERB
cana-1292	31	8	a	a	DET
cana-1292	31	9	new	new	ADJ
cana-1292	31	10	method	method	NOUN
cana-1292	31	11	of	of	ADP
cana-1292	31	12	edge	edge	NOUN
cana-1292	31	13	detection	detection	NOUN
cana-1292	31	14	for	for	ADP
cana-1292	31	15	colour	colour	NOUN
cana-1292	31	16	images	image	NOUN
cana-1292	31	17	,	,	PUNCT
cana-1292	31	18	combining	combine	VERB
cana-1292	31	19	fuzzy	fuzzy	ADJ
cana-1292	31	20	type-1	type-1	PROPN
cana-1292	31	21	and	and	CCONJ
cana-1292	31	22	gradient	gradient	NOUN
cana-1292	31	23	-	-	PUNCT
cana-1292	31	24	based	base	VERB
cana-1292	31	25	edge	edge	NOUN
cana-1292	31	26	detection	detection	NOUN
cana-1292	31	27	.	.	PUNCT
cana-1292	32	1	this	this	DET
cana-1292	32	2	proposed	propose	VERB
cana-1292	32	3	method	method	NOUN
cana-1292	32	4	can	can	AUX
cana-1292	32	5	handle	handle	VERB
cana-1292	32	6	a	a	DET
cana-1292	32	7	higher	high	ADJ
cana-1292	32	8	degree	degree	NOUN
cana-1292	32	9	of	of	ADP
cana-1292	32	10	uncertainty	uncertainty	NOUN
cana-1292	32	11	in	in	ADP
cana-1292	32	12	edge	edge	NOUN
cana-1292	32	13	detection	detection	NOUN
cana-1292	32	14	and	and	CCONJ
cana-1292	32	15	provides	provide	VERB
cana-1292	32	16	sharper	sharp	ADJ
cana-1292	32	17	edges	edge	NOUN
cana-1292	32	18	compared	compare	VERB
cana-1292	32	19	to	to	ADP
cana-1292	32	20	gradient	gradient	NOUN
cana-1292	32	21	-	-	PUNCT
cana-1292	32	22	based	base	VERB
cana-1292	32	23	edge	edge	NOUN
cana-1292	32	24	detectors	detector	NOUN
cana-1292	32	25	.	.	PUNCT
cana-1292	33	1	yau	yau	PROPN
cana-1292	33	2	hwang	hwang	PROPN
cana-1292	33	3	et	et	PROPN
cana-1292	33	4	al	al	PROPN
cana-1292	33	5	.	.	PUNCT
cana-1292	34	1	[	[	X
cana-1292	34	2	5	5	NUM
cana-1292	34	3	]	]	PUNCT
cana-1292	34	4	proposed	propose	VERB
cana-1292	34	5	a	a	DET
cana-1292	34	6	new	new	ADJ
cana-1292	34	7	fuzzy	fuzzy	ADJ
cana-1292	34	8	sobel	sobel	NOUN
cana-1292	34	9	method	method	NOUN
cana-1292	34	10	that	that	PRON
cana-1292	34	11	can	can	AUX
cana-1292	34	12	detect	detect	VERB
cana-1292	34	13	and	and	CCONJ
cana-1292	34	14	enhance	enhance	VERB
cana-1292	34	15	the	the	DET
cana-1292	34	16	edges	edge	NOUN
cana-1292	34	17	of	of	ADP
cana-1292	34	18	an	an	DET
cana-1292	34	19	image	image	NOUN
cana-1292	34	20	by	by	ADP
cana-1292	34	21	determining	determine	VERB
cana-1292	34	22	threshold	threshold	NOUN
cana-1292	34	23	values	value	NOUN
cana-1292	34	24	.	.	PUNCT
cana-1292	35	1	in	in	ADP
cana-1292	35	2	this	this	DET
cana-1292	35	3	method	method	NOUN
cana-1292	35	4	,	,	PUNCT
cana-1292	35	5	the	the	DET
cana-1292	35	6	gradient	gradient	NOUN
cana-1292	35	7	value	value	NOUN
cana-1292	35	8	is	be	AUX
cana-1292	35	9	still	still	ADV
cana-1292	35	10	calculated	calculate	VERB
cana-1292	35	11	,	,	PUNCT
cana-1292	35	12	but	but	CCONJ
cana-1292	35	13	the	the	DET
cana-1292	35	14	threshold	threshold	NOUN
cana-1292	35	15	value	value	NOUN
cana-1292	35	16	is	be	AUX
cana-1292	35	17	replaced	replace	VERB
cana-1292	35	18	according	accord	VERB
cana-1292	35	19	to	to	ADP
cana-1292	35	20	the	the	DET
cana-1292	35	21	fuzzy	fuzzy	ADJ
cana-1292	35	22	rule	rule	NOUN
cana-1292	35	23	.	.	PUNCT
cana-1292	36	1	wang	wang	PROPN
cana-1292	36	2	et	et	PROPN
cana-1292	36	3	al	al	PROPN
cana-1292	36	4	.	.	PUNCT
cana-1292	37	1	[	[	X
cana-1292	37	2	8	8	NUM
cana-1292	37	3	]	]	PUNCT
cana-1292	37	4	proposed	propose	VERB
cana-1292	37	5	a	a	DET
cana-1292	37	6	fuzzy	fuzzy	ADJ
cana-1292	37	7	logic	logic	NOUN
cana-1292	37	8	method	method	NOUN
cana-1292	37	9	for	for	ADP
cana-1292	37	10	edge	edge	NOUN
cana-1292	37	11	detection	detection	NOUN
cana-1292	37	12	,	,	PUNCT
cana-1292	37	13	focusing	focus	VERB
cana-1292	37	14	on	on	ADP
cana-1292	37	15	different	different	ADJ
cana-1292	37	16	membership	membership	NOUN
cana-1292	37	17	values	value	NOUN
cana-1292	37	18	to	to	PART
cana-1292	37	19	create	create	VERB
cana-1292	37	20	a	a	DET
cana-1292	37	21	new	new	ADJ
cana-1292	37	22	model	model	NOUN
cana-1292	37	23	for	for	ADP
cana-1292	37	24	clear	clear	ADJ
cana-1292	37	25	image	image	NOUN
cana-1292	37	26	identification	identification	NOUN
cana-1292	37	27	.	.	PUNCT
cana-1292	38	1	their	their	PRON
cana-1292	38	2	experimental	experimental	ADJ
cana-1292	38	3	results	result	NOUN
cana-1292	38	4	were	be	AUX
cana-1292	38	5	compared	compare	VERB
cana-1292	38	6	with	with	ADP
cana-1292	38	7	traditional	traditional	ADJ
cana-1292	38	8	operators	operator	NOUN
cana-1292	38	9	like	like	ADP
cana-1292	38	10	canny	canny	ADJ
cana-1292	38	11	and	and	CCONJ
cana-1292	38	12	sobel	sobel	NOUN
cana-1292	38	13	.	.	PUNCT
cana-1292	39	1	zhang	zhang	PROPN
cana-1292	39	2	et	et	PROPN
cana-1292	39	3	al	al	PROPN
cana-1292	39	4	.	.	PUNCT
cana-1292	40	1	[	[	X
cana-1292	40	2	9	9	NUM
cana-1292	40	3	]	]	PUNCT
cana-1292	40	4	proposed	propose	VERB
cana-1292	40	5	a	a	DET
cana-1292	40	6	new	new	ADJ
cana-1292	40	7	edge	edge	NOUN
cana-1292	40	8	detection	detection	NOUN
cana-1292	40	9	technique	technique	NOUN
cana-1292	40	10	based	base	VERB
cana-1292	40	11	on	on	ADP
cana-1292	40	12	a	a	DET
cana-1292	40	13	fuzzy	fuzzy	ADJ
cana-1292	40	14	logic	logic	NOUN
cana-1292	40	15	system	system	NOUN
cana-1292	40	16	known	know	VERB
cana-1292	40	17	as	as	ADP
cana-1292	40	18	adaptive	adaptive	ADJ
cana-1292	40	19	neurofuzzy	neurofuzzy	NOUN
cana-1292	40	20	.	.	PUNCT
cana-1292	41	1	this	this	DET
cana-1292	41	2	technique	technique	NOUN
cana-1292	41	3	uses	use	VERB
cana-1292	41	4	a	a	DET
cana-1292	41	5	sharpening	sharpen	VERB
cana-1292	41	6	gabor	gabor	NOUN
cana-1292	41	7	filter	filter	NOUN
cana-1292	41	8	to	to	PART
cana-1292	41	9	regulate	regulate	VERB
cana-1292	41	10	edge	edge	NOUN
cana-1292	41	11	quality	quality	NOUN
cana-1292	41	12	and	and	CCONJ
cana-1292	41	13	a	a	DET
cana-1292	41	14	gaussian	gaussian	ADJ
cana-1292	41	15	filter	filter	NOUN
cana-1292	41	16	to	to	PART
cana-1292	41	17	reduce	reduce	VERB
cana-1292	41	18	noise	noise	NOUN
cana-1292	41	19	caused	cause	VERB
cana-1292	41	20	by	by	ADP
cana-1292	41	21	sharpening	sharpen	VERB
cana-1292	41	22	.	.	PUNCT
cana-1292	42	1	recently	recently	ADV
cana-1292	42	2	,	,	PUNCT
cana-1292	42	3	a	a	DET
cana-1292	42	4	new	new	ADJ
cana-1292	42	5	method	method	NOUN
cana-1292	42	6	of	of	ADP
cana-1292	42	7	edge	edge	NOUN
cana-1292	42	8	detection	detection	NOUN
cana-1292	42	9	for	for	ADP
cana-1292	42	10	rgb	rgb	PROPN
cana-1292	42	11	images	image	NOUN
cana-1292	42	12	was	be	AUX
cana-1292	42	13	proposed	propose	VERB
cana-1292	42	14	which	which	PRON
cana-1292	42	15	is	be	AUX
cana-1292	42	16	based	base	VERB
cana-1292	42	17	on	on	ADP
cana-1292	42	18	fuzzy	fuzzy	ADJ
cana-1292	42	19	type-1	type-1	PROPN
cana-1292	42	20	and	and	CCONJ
cana-1292	42	21	sobel	sobel	NOUN
cana-1292	42	22	operator	operator	NOUN
cana-1292	42	23	yau	yau	PROPN
cana-1292	42	24	hawng	hawng	PROPN
cana-1292	42	25	et	et	PROPN
cana-1292	42	26	al	al	PROPN
cana-1292	42	27	.	.	PUNCT
cana-1292	43	1	[	[	X
cana-1292	43	2	5	5	NUM
cana-1292	43	3	]	]	PUNCT
cana-1292	43	4	.	.	PUNCT
cana-1292	43	5	motivated	motivate	VERB
cana-1292	43	6	by	by	ADP
cana-1292	43	7	the	the	DET
cana-1292	43	8	work	work	NOUN
cana-1292	43	9	done	do	VERB
cana-1292	43	10	in	in	ADP
cana-1292	43	11	this	this	DET
cana-1292	43	12	field	field	NOUN
cana-1292	43	13	,	,	PUNCT
cana-1292	43	14	the	the	DET
cana-1292	43	15	present	present	ADJ
cana-1292	43	16	study	study	NOUN
cana-1292	43	17	exploits	exploit	VERB
cana-1292	43	18	mshedgergb_t1	mshedgergb_t1	ADJ
cana-1292	43	19	and	and	CCONJ
cana-1292	43	20	mshedgergb_t2	mshedgergb_t2	NOUN
cana-1292	43	21	based	base	VERB
cana-1292	43	22	on	on	ADP
cana-1292	43	23	fuzzy	fuzzy	ADJ
cana-1292	43	24	type-1	type-1	PROPN
cana-1292	43	25	and	and	CCONJ
cana-1292	43	26	fuzzy	fuzzy	ADJ
cana-1292	43	27	type-2	type-2	NUM
cana-1292	43	28	logic	logic	NOUN
cana-1292	43	29	respectively	respectively	ADV
cana-1292	43	30	and	and	CCONJ
cana-1292	43	31	prewitt	prewitt	NOUN
cana-1292	43	32	operator	operator	NOUN
cana-1292	43	33	for	for	ADP
cana-1292	43	34	comparative	comparative	ADJ
cana-1292	43	35	analysis	analysis	NOUN
cana-1292	43	36	of	of	ADP
cana-1292	43	37	detected	detect	VERB
cana-1292	43	38	edges	edge	NOUN
cana-1292	43	39	in	in	ADP
cana-1292	43	40	rgb	rgb	PROPN
cana-1292	43	41	images	image	NOUN
cana-1292	43	42	.	.	PUNCT
cana-1292	44	1	2	2	X
cana-1292	44	2	.	.	X
cana-1292	44	3	methods	method	NOUN
cana-1292	44	4	2.1	2.1	NUM
cana-1292	44	5	prewitt	prewitt	NOUN
cana-1292	44	6	operator	operator	NOUN
cana-1292	44	7	this	this	DET
cana-1292	44	8	operator	operator	NOUN
cana-1292	44	9	was	be	AUX
cana-1292	44	10	introduced	introduce	VERB
cana-1292	44	11	by	by	ADP
cana-1292	44	12	granzales	granzale	NOUN
cana-1292	44	13	,	,	PUNCT
cana-1292	44	14	edds	edd	NOUN
cana-1292	44	15	and	and	CCONJ
cana-1292	44	16	wood	wood	NOUN
cana-1292	44	17	,	,	PUNCT
cana-1292	44	18	which	which	PRON
cana-1292	44	19	is	be	AUX
cana-1292	44	20	based	base	VERB
cana-1292	44	21	on	on	ADP
cana-1292	44	22	a	a	DET
cana-1292	44	23	first	first	ADJ
cana-1292	44	24	-	-	PUNCT
cana-1292	44	25	order	order	NOUN
cana-1292	44	26	derivative	derivative	ADJ
cana-1292	44	27	operator	operator	NOUN
cana-1292	44	28	.	.	PUNCT
cana-1292	45	1	it	it	PRON
cana-1292	45	2	is	be	AUX
cana-1292	45	3	also	also	ADV
cana-1292	45	4	known	know	VERB
cana-1292	45	5	as	as	ADP
cana-1292	45	6	a	a	DET
cana-1292	45	7	gradient	gradient	NOUN
cana-1292	45	8	-	-	PUNCT
cana-1292	45	9	based	base	VERB
cana-1292	45	10	operator	operator	NOUN
cana-1292	45	11	whose	whose	DET
cana-1292	45	12	primary	primary	ADJ
cana-1292	45	13	goal	goal	NOUN
cana-1292	45	14	in	in	ADP
cana-1292	45	15	image	image	NOUN
cana-1292	45	16	processing	processing	NOUN
cana-1292	45	17	is	be	AUX
cana-1292	45	18	to	to	PART
cana-1292	45	19	detect	detect	VERB
cana-1292	45	20	edges	edge	NOUN
cana-1292	45	21	and	and	CCONJ
cana-1292	45	22	recognize	recognize	VERB
cana-1292	45	23	the	the	DET
cana-1292	45	24	shapes	shape	NOUN
cana-1292	45	25	within	within	ADP
cana-1292	45	26	the	the	DET
cana-1292	45	27	image	image	NOUN
cana-1292	45	28	[	[	X
cana-1292	45	29	10	10	NUM
cana-1292	45	30	]	]	PUNCT
cana-1292	45	31	.	.	PUNCT
cana-1292	46	1	the	the	DET
cana-1292	46	2	operator	operator	NOUN
cana-1292	46	3	can	can	AUX
cana-1292	46	4	be	be	AUX
cana-1292	46	5	applied	apply	VERB
cana-1292	46	6	to	to	ADP
cana-1292	46	7	all	all	DET
cana-1292	46	8	types	type	NOUN
cana-1292	46	9	of	of	ADP
cana-1292	46	10	images	image	NOUN
cana-1292	46	11	and	and	CCONJ
cana-1292	46	12	is	be	AUX
cana-1292	46	13	particularly	particularly	ADV
cana-1292	46	14	effective	effective	ADJ
cana-1292	46	15	in	in	ADP
cana-1292	46	16	detecting	detect	VERB
cana-1292	46	17	sharp	sharp	ADJ
cana-1292	46	18	edges	edge	NOUN
cana-1292	46	19	.	.	PUNCT
cana-1292	47	1	the	the	DET
cana-1292	47	2	operator	operator	NOUN
cana-1292	47	3	used	use	VERB
cana-1292	47	4	in	in	ADP
cana-1292	47	5	image	image	NOUN
cana-1292	47	6	processing	processing	NOUN
cana-1292	47	7	to	to	PART
cana-1292	47	8	find	find	VERB
cana-1292	47	9	edge	edge	NOUN
cana-1292	47	10	pixels	pixel	NOUN
cana-1292	47	11	,	,	PUNCT
cana-1292	47	12	designed	design	VERB
cana-1292	47	13	to	to	PART
cana-1292	47	14	identify	identify	VERB
cana-1292	47	15	areas	area	NOUN
cana-1292	47	16	in	in	ADP
cana-1292	47	17	an	an	DET
cana-1292	47	18	image	image	NOUN
cana-1292	47	19	where	where	SCONJ
cana-1292	47	20	the	the	DET
cana-1292	47	21	intensity	intensity	NOUN
cana-1292	47	22	changes	change	VERB
cana-1292	47	23	sharply	sharply	ADV
cana-1292	47	24	,	,	PUNCT
cana-1292	47	25	typically	typically	ADV
cana-1292	47	26	indicative	indicative	ADJ
cana-1292	47	27	of	of	ADP
cana-1292	47	28	edges	edge	NOUN
cana-1292	47	29	.	.	PUNCT
cana-1292	48	1	the	the	DET
cana-1292	48	2	algorithm	algorithm	NOUN
cana-1292	48	3	approximates	approximate	VERB
cana-1292	48	4	the	the	DET
cana-1292	48	5	gradient	gradient	NOUN
cana-1292	48	6	of	of	ADP
cana-1292	48	7	the	the	DET
cana-1292	48	8	image	image	NOUN
cana-1292	48	9	intensity	intensity	NOUN
cana-1292	48	10	function	function	NOUN
cana-1292	48	11	at	at	ADP
cana-1292	48	12	each	each	DET
cana-1292	48	13	point	point	NOUN
cana-1292	48	14	,	,	PUNCT
cana-1292	48	15	highlighting	highlight	VERB
cana-1292	48	16	the	the	DET
cana-1292	48	17	orientation	orientation	NOUN
cana-1292	48	18	and	and	CCONJ
cana-1292	48	19	strength	strength	NOUN
cana-1292	48	20	of	of	ADP
cana-1292	48	21	edges	edge	NOUN
cana-1292	48	22	[	[	X
cana-1292	48	23	11	11	NUM
cana-1292	48	24	]	]	PUNCT
cana-1292	48	25	.	.	PUNCT
cana-1292	49	1	horizontal	horizontal	ADJ
cana-1292	49	2	convolution	convolution	NOUN
cana-1292	49	3	kernel	kernel	PROPN
cana-1292	49	4	(	(	PUNCT
cana-1292	49	5	px	px	PROPN
cana-1292	49	6	)	)	PUNCT
cana-1292	49	7	1	1	NUM
cana-1292	49	8	1	1	NUM
cana-1292	49	9	1	1	NUM
cana-1292	49	10	0	0	NUM
cana-1292	49	11	0	0	NUM
cana-1292	49	12	0	0	NUM
cana-1292	49	13	-1	-1	CCONJ
cana-1292	49	14	-1	-1	INTJ
cana-1292	49	15	-1	-1	PUNCT
cana-1292	49	16	the	the	DET
cana-1292	49	17	prewitt	prewitt	PROPN
cana-1292	49	18	operator	operator	NOUN
cana-1292	49	19	uses	use	VERB
cana-1292	49	20	two	two	NUM
cana-1292	49	21	3x3	3x3	NUM
cana-1292	49	22	convolution	convolution	NOUN
cana-1292	49	23	kernels	kernel	NOUN
cana-1292	49	24	,	,	PUNCT
cana-1292	49	25	one	one	NUM
cana-1292	49	26	for	for	ADP
cana-1292	49	27	detecting	detect	VERB
cana-1292	49	28	an	an	DET
cana-1292	49	29	edge	edge	NOUN
cana-1292	49	30	in	in	ADP
cana-1292	49	31	horizontal	horizontal	ADJ
cana-1292	49	32	direction	direction	NOUN
cana-1292	49	33	(	(	PUNCT
cana-1292	49	34	px	px	NOUN
cana-1292	49	35	)	)	PUNCT
cana-1292	49	36	and	and	CCONJ
cana-1292	49	37	second	second	ADJ
cana-1292	49	38	for	for	ADP
cana-1292	49	39	vertical	vertical	ADJ
cana-1292	49	40	direction	direction	NOUN
cana-1292	49	41	(	(	PUNCT
cana-1292	49	42	py	py	PROPN
cana-1292	49	43	)	)	PUNCT
cana-1292	49	44	,	,	PUNCT
cana-1292	49	45	which	which	PRON
cana-1292	49	46	are	be	AUX
cana-1292	49	47	shown	show	VERB
cana-1292	49	48	below	below	ADP
cana-1292	49	49	:	:	PUNCT
cana-1292	49	50	communications	communication	NOUN
cana-1292	49	51	on	on	ADP
cana-1292	49	52	applied	apply	VERB
cana-1292	49	53	nonlinear	nonlinear	ADJ
cana-1292	49	54	analysis	analysis	NOUN
cana-1292	49	55	issn	issn	NOUN
cana-1292	49	56	:	:	PUNCT
cana-1292	49	57	1074	1074	NUM
cana-1292	49	58	-	-	PUNCT
cana-1292	49	59	133x	133x	NUM
cana-1292	49	60	vol	vol	NOUN
cana-1292	49	61	31	31	NUM
cana-1292	49	62	no	no	NOUN
cana-1292	49	63	.	.	PUNCT
cana-1292	50	1	7s	7	NOUN
cana-1292	50	2	(	(	PUNCT
cana-1292	50	3	2024	2024	NUM
cana-1292	50	4	)	)	PUNCT
cana-1292	50	5	172	172	NUM
cana-1292	50	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1292	50	7	vertical	vertical	ADJ
cana-1292	50	8	convolution	convolution	NOUN
cana-1292	50	9	kernel	kernel	PROPN
cana-1292	50	10	(	(	PUNCT
cana-1292	50	11	py	py	PROPN
cana-1292	50	12	)	)	PUNCT
cana-1292	50	13	1	1	NUM
cana-1292	50	14	0	0	NUM
cana-1292	50	15	-1	-1	SYM
cana-1292	50	16	1	1	NUM
cana-1292	50	17	0	0	NUM
cana-1292	50	18	-1	-1	SYM
cana-1292	50	19	1	1	NUM
cana-1292	50	20	0	0	NUM
cana-1292	50	21	-1	-1	ADP
cana-1292	50	22	these	these	DET
cana-1292	50	23	masks	mask	NOUN
cana-1292	50	24	are	be	AUX
cana-1292	50	25	applied	apply	VERB
cana-1292	50	26	on	on	ADP
cana-1292	50	27	a	a	DET
cana-1292	50	28	colour	colour	NOUN
cana-1292	50	29	image	image	NOUN
cana-1292	50	30	to	to	PART
cana-1292	50	31	calculate	calculate	VERB
cana-1292	50	32	the	the	DET
cana-1292	50	33	change	change	NOUN
cana-1292	50	34	in	in	ADP
cana-1292	50	35	intensity	intensity	NOUN
cana-1292	50	36	value	value	NOUN
cana-1292	50	37	of	of	ADP
cana-1292	50	38	every	every	DET
cana-1292	50	39	pixels	pixel	NOUN
cana-1292	50	40	in	in	ADP
cana-1292	50	41	both	both	DET
cana-1292	50	42	directions	direction	NOUN
cana-1292	50	43	.	.	PUNCT
cana-1292	51	1	the	the	DET
cana-1292	51	2	sum	sum	NOUN
cana-1292	51	3	of	of	ADP
cana-1292	51	4	these	these	DET
cana-1292	51	5	masks	mask	NOUN
cana-1292	51	6	is	be	AUX
cana-1292	51	7	zero	zero	NUM
cana-1292	51	8	.	.	PUNCT
cana-1292	52	1	when	when	SCONJ
cana-1292	52	2	we	we	PRON
cana-1292	52	3	apply	apply	VERB
cana-1292	52	4	both	both	DET
cana-1292	52	5	kernels	kernel	NOUN
cana-1292	52	6	of	of	ADP
cana-1292	52	7	an	an	DET
cana-1292	52	8	image	image	NOUN
cana-1292	52	9	it	it	PRON
cana-1292	52	10	works	work	VERB
cana-1292	52	11	to	to	PART
cana-1292	52	12	solve	solve	VERB
cana-1292	52	13	the	the	DET
cana-1292	52	14	first	first	ADJ
cana-1292	52	15	-	-	PUNCT
cana-1292	52	16	order	order	NOUN
cana-1292	52	17	derivative	derivative	NOUN
cana-1292	52	18	and	and	CCONJ
cana-1292	52	19	calculate	calculate	VERB
cana-1292	52	20	the	the	DET
cana-1292	52	21	difference	difference	NOUN
cana-1292	52	22	between	between	ADP
cana-1292	52	23	pixel	pixel	PROPN
cana-1292	52	24	intensities	intensity	NOUN
cana-1292	52	25	in	in	ADP
cana-1292	52	26	the	the	DET
cana-1292	52	27	edges	edge	NOUN
cana-1292	52	28	area	area	NOUN
cana-1292	52	29	.	.	PUNCT
cana-1292	53	1	using	use	VERB
cana-1292	53	2	px	px	PROPN
cana-1292	53	3	and	and	CCONJ
cana-1292	53	4	py	py	INTJ
cana-1292	53	5	,	,	PUNCT
cana-1292	53	6	we	we	PRON
cana-1292	53	7	find	find	VERB
cana-1292	53	8	the	the	DET
cana-1292	53	9	gradient	gradient	ADJ
cana-1292	53	10	magnitude	magnitude	NOUN
cana-1292	53	11	as	as	ADV
cana-1292	53	12	well	well	ADV
cana-1292	53	13	as	as	ADP
cana-1292	53	14	the	the	DET
cana-1292	53	15	direction	direction	NOUN
cana-1292	53	16	of	of	ADP
cana-1292	53	17	edge	edge	NOUN
cana-1292	53	18	.	.	PUNCT
cana-1292	54	1	it	it	PRON
cana-1292	54	2	is	be	AUX
cana-1292	54	3	the	the	DET
cana-1292	54	4	best	good	ADJ
cana-1292	54	5	method	method	NOUN
cana-1292	54	6	to	to	PART
cana-1292	54	7	find	find	VERB
cana-1292	54	8	the	the	DET
cana-1292	54	9	orientation	orientation	NOUN
cana-1292	54	10	,	,	PUNCT
cana-1292	54	11	brightness	brightness	NOUN
cana-1292	54	12	changes	change	NOUN
cana-1292	54	13	,	,	PUNCT
cana-1292	54	14	intensity	intensity	NOUN
cana-1292	54	15	value	value	NOUN
cana-1292	54	16	,	,	PUNCT
cana-1292	54	17	shape	shape	NOUN
cana-1292	54	18	and	and	CCONJ
cana-1292	54	19	boundaries	boundary	NOUN
cana-1292	54	20	of	of	ADP
cana-1292	54	21	any	any	DET
cana-1292	54	22	image	image	NOUN
cana-1292	54	23	[	[	X
cana-1292	54	24	12	12	NUM
cana-1292	54	25	]	]	PUNCT
cana-1292	54	26	.	.	PUNCT
cana-1292	55	1	2.2	2.2	NUM
cana-1292	55	2	fuzzy	fuzzy	ADJ
cana-1292	55	3	type-1	type-1	NUM
cana-1292	55	4	logic	logic	NOUN
cana-1292	55	5	system	system	NOUN
cana-1292	55	6	fuzzy	fuzzy	ADJ
cana-1292	55	7	type-1	type-1	NUM
cana-1292	55	8	logic	logic	NOUN
cana-1292	55	9	is	be	AUX
cana-1292	55	10	introduced	introduce	VERB
cana-1292	55	11	by	by	ADP
cana-1292	55	12	professor	professor	PROPN
cana-1292	55	13	lofti	lofti	PROPN
cana-1292	55	14	zadeh	zadeh	PROPN
cana-1292	55	15	in	in	ADP
cana-1292	55	16	the	the	DET
cana-1292	55	17	1960s	1960s	NUM
cana-1292	55	18	.	.	PUNCT
cana-1292	56	1	fuzzy	fuzzy	ADJ
cana-1292	56	2	type-1	type-1	PROPN
cana-1292	56	3	gives	give	VERB
cana-1292	56	4	a	a	DET
cana-1292	56	5	powerful	powerful	ADJ
cana-1292	56	6	framework	framework	NOUN
cana-1292	56	7	for	for	ADP
cana-1292	56	8	image	image	NOUN
cana-1292	56	9	processing	processing	NOUN
cana-1292	56	10	by	by	ADP
cana-1292	56	11	incorporating	incorporate	VERB
cana-1292	56	12	the	the	DET
cana-1292	56	13	concept	concept	NOUN
cana-1292	56	14	of	of	ADP
cana-1292	56	15	partial	partial	ADJ
cana-1292	56	16	membership	membership	NOUN
cana-1292	56	17	,	,	PUNCT
cana-1292	56	18	which	which	PRON
cana-1292	56	19	contrasts	contrast	VERB
cana-1292	56	20	with	with	ADP
cana-1292	56	21	the	the	DET
cana-1292	56	22	binary	binary	ADJ
cana-1292	56	23	nature	nature	NOUN
cana-1292	56	24	of	of	ADP
cana-1292	56	25	classical	classical	ADJ
cana-1292	56	26	sets	set	NOUN
cana-1292	56	27	.	.	PUNCT
cana-1292	57	1	in	in	ADP
cana-1292	57	2	this	this	DET
cana-1292	57	3	context	context	NOUN
cana-1292	57	4	,	,	PUNCT
cana-1292	57	5	each	each	DET
cana-1292	57	6	pixel	pixel	NOUN
cana-1292	57	7	in	in	ADP
cana-1292	57	8	an	an	DET
cana-1292	57	9	image	image	NOUN
cana-1292	57	10	is	be	AUX
cana-1292	57	11	assigned	assign	VERB
cana-1292	57	12	a	a	DET
cana-1292	57	13	membership	membership	NOUN
cana-1292	57	14	value	value	NOUN
cana-1292	57	15	between	between	ADP
cana-1292	57	16	0	0	NUM
cana-1292	57	17	and	and	CCONJ
cana-1292	57	18	1	1	NUM
cana-1292	57	19	,	,	PUNCT
cana-1292	57	20	reflecting	reflect	VERB
cana-1292	57	21	its	its	PRON
cana-1292	57	22	degree	degree	NOUN
cana-1292	57	23	of	of	ADP
cana-1292	57	24	belonging	belong	VERB
cana-1292	57	25	to	to	ADP
cana-1292	57	26	different	different	ADJ
cana-1292	57	27	categories	category	NOUN
cana-1292	57	28	such	such	ADJ
cana-1292	57	29	as	as	ADP
cana-1292	57	30	edges	edge	NOUN
cana-1292	57	31	,	,	PUNCT
cana-1292	57	32	textures	texture	NOUN
cana-1292	57	33	or	or	CCONJ
cana-1292	57	34	background	background	NOUN
cana-1292	57	35	.	.	PUNCT
cana-1292	58	1	this	this	DET
cana-1292	58	2	approach	approach	NOUN
cana-1292	58	3	enables	enable	VERB
cana-1292	58	4	more	more	ADV
cana-1292	58	5	precise	precise	ADJ
cana-1292	58	6	and	and	CCONJ
cana-1292	58	7	adaptive	adaptive	ADJ
cana-1292	58	8	processing	processing	NOUN
cana-1292	58	9	by	by	ADP
cana-1292	58	10	capturing	capture	VERB
cana-1292	58	11	the	the	DET
cana-1292	58	12	inherent	inherent	ADJ
cana-1292	58	13	vagueness	vagueness	NOUN
cana-1292	58	14	and	and	CCONJ
cana-1292	58	15	variations	variation	NOUN
cana-1292	58	16	in	in	ADP
cana-1292	58	17	image	image	NOUN
cana-1292	58	18	data	datum	NOUN
cana-1292	58	19	.	.	PUNCT
cana-1292	59	1	for	for	ADP
cana-1292	59	2	instance	instance	NOUN
cana-1292	59	3	,	,	PUNCT
cana-1292	59	4	in	in	ADP
cana-1292	59	5	tasks	task	NOUN
cana-1292	59	6	like	like	ADP
cana-1292	59	7	edge	edge	NOUN
cana-1292	59	8	detection	detection	NOUN
cana-1292	59	9	,	,	PUNCT
cana-1292	59	10	fuzzy	fuzzy	ADJ
cana-1292	59	11	type-1	type-1	PROPN
cana-1292	59	12	sets	set	NOUN
cana-1292	59	13	facilitate	facilitate	VERB
cana-1292	59	14	the	the	DET
cana-1292	59	15	identification	identification	NOUN
cana-1292	59	16	of	of	ADP
cana-1292	59	17	edges	edge	NOUN
cana-1292	59	18	that	that	PRON
cana-1292	59	19	may	may	AUX
cana-1292	59	20	be	be	AUX
cana-1292	59	21	blurred	blur	VERB
cana-1292	59	22	or	or	CCONJ
cana-1292	59	23	not	not	PART
cana-1292	59	24	sharply	sharply	ADV
cana-1292	59	25	defined	define	VERB
cana-1292	59	26	,	,	PUNCT
cana-1292	59	27	thereby	thereby	ADV
cana-1292	59	28	improving	improve	VERB
cana-1292	59	29	the	the	DET
cana-1292	59	30	accuracy	accuracy	NOUN
cana-1292	59	31	of	of	ADP
cana-1292	59	32	boundary	boundary	ADJ
cana-1292	59	33	delineation	delineation	NOUN
cana-1292	59	34	.	.	PUNCT
cana-1292	60	1	their	their	PRON
cana-1292	60	2	ability	ability	NOUN
cana-1292	60	3	to	to	PART
cana-1292	60	4	model	model	VERB
cana-1292	60	5	uncertainty	uncertainty	NOUN
cana-1292	60	6	and	and	CCONJ
cana-1292	60	7	handle	handle	VERB
cana-1292	60	8	gradual	gradual	ADJ
cana-1292	60	9	transitions	transition	NOUN
cana-1292	60	10	makes	make	VERB
cana-1292	60	11	fuzzy	fuzzy	ADJ
cana-1292	60	12	type-1	type-1	PROPN
cana-1292	60	13	sets	set	VERB
cana-1292	60	14	particularly	particularly	ADV
cana-1292	60	15	effective	effective	ADJ
cana-1292	60	16	in	in	ADP
cana-1292	60	17	complex	complex	ADJ
cana-1292	60	18	image	image	NOUN
cana-1292	60	19	processing	processing	NOUN
cana-1292	60	20	applications	application	NOUN
cana-1292	60	21	,	,	PUNCT
cana-1292	60	22	leading	lead	VERB
cana-1292	60	23	to	to	ADP
cana-1292	60	24	enhanced	enhanced	ADJ
cana-1292	60	25	performance	performance	NOUN
cana-1292	60	26	and	and	CCONJ
cana-1292	60	27	more	more	ADV
cana-1292	60	28	reliable	reliable	ADJ
cana-1292	60	29	results	result	NOUN
cana-1292	60	30	in	in	ADP
cana-1292	60	31	diverse	diverse	ADJ
cana-1292	60	32	imaging	imaging	NOUN
cana-1292	60	33	scenarios	scenario	NOUN
cana-1292	60	34	[	[	X
cana-1292	60	35	5],[7	5],[7	NUM
cana-1292	60	36	]	]	PUNCT
cana-1292	60	37	.	.	PUNCT
cana-1292	61	1	2.3	2.3	NUM
cana-1292	61	2	fuzzy	fuzzy	ADJ
cana-1292	61	3	type-2	type-2	NUM
cana-1292	61	4	logic	logic	NOUN
cana-1292	61	5	system	system	NOUN
cana-1292	61	6	fuzzy	fuzzy	ADJ
cana-1292	61	7	type-2	type-2	NUM
cana-1292	61	8	logic	logic	NOUN
cana-1292	61	9	proposed	propose	VERB
cana-1292	61	10	by	by	ADP
cana-1292	61	11	dr	dr	PROPN
cana-1292	61	12	.	.	PROPN
cana-1292	61	13	jerry	jerry	PROPN
cana-1292	61	14	mendel	mendel	PROPN
cana-1292	61	15	in	in	ADP
cana-1292	61	16	the	the	DET
cana-1292	61	17	late	late	ADJ
cana-1292	61	18	1990s	1990	NOUN
cana-1292	61	19	,	,	PUNCT
cana-1292	61	20	extends	extend	VERB
cana-1292	61	21	the	the	DET
cana-1292	61	22	capabilities	capability	NOUN
cana-1292	61	23	of	of	ADP
cana-1292	61	24	fuzzy	fuzzy	ADJ
cana-1292	61	25	logic	logic	NOUN
cana-1292	61	26	in	in	ADP
cana-1292	61	27	image	image	NOUN
cana-1292	61	28	processing	processing	NOUN
cana-1292	61	29	by	by	ADP
cana-1292	61	30	introducing	introduce	VERB
cana-1292	61	31	a	a	DET
cana-1292	61	32	higher	high	ADJ
cana-1292	61	33	level	level	NOUN
cana-1292	61	34	of	of	ADP
cana-1292	61	35	complexity	complexity	NOUN
cana-1292	61	36	and	and	CCONJ
cana-1292	61	37	flexibility	flexibility	NOUN
cana-1292	61	38	through	through	ADP
cana-1292	61	39	their	their	PRON
cana-1292	61	40	use	use	NOUN
cana-1292	61	41	of	of	ADP
cana-1292	61	42	fuzzy	fuzzy	ADJ
cana-1292	61	43	membership	membership	NOUN
cana-1292	61	44	functions	function	NOUN
cana-1292	61	45	that	that	PRON
cana-1292	61	46	are	be	AUX
cana-1292	61	47	themselves	themselves	PRON
cana-1292	61	48	fuzzy	fuzzy	ADJ
cana-1292	61	49	.	.	PUNCT
cana-1292	62	1	this	this	PRON
cana-1292	62	2	means	mean	VERB
cana-1292	62	3	that	that	SCONJ
cana-1292	62	4	rather	rather	ADV
cana-1292	62	5	than	than	ADP
cana-1292	62	6	having	have	VERB
cana-1292	62	7	a	a	DET
cana-1292	62	8	single	single	ADJ
cana-1292	62	9	membership	membership	NOUN
cana-1292	62	10	value	value	NOUN
cana-1292	62	11	for	for	ADP
cana-1292	62	12	each	each	DET
cana-1292	62	13	pixel	pixel	NOUN
cana-1292	62	14	,	,	PUNCT
cana-1292	62	15	type-2	type-2	NUM
cana-1292	62	16	fuzzy	fuzzy	ADJ
cana-1292	62	17	sets	set	NOUN
cana-1292	62	18	incorporate	incorporate	VERB
cana-1292	62	19	a	a	DET
cana-1292	62	20	range	range	NOUN
cana-1292	62	21	of	of	ADP
cana-1292	62	22	possible	possible	ADJ
cana-1292	62	23	membership	membership	NOUN
cana-1292	62	24	values	value	NOUN
cana-1292	62	25	,	,	PUNCT
cana-1292	62	26	providing	provide	VERB
cana-1292	62	27	a	a	DET
cana-1292	62	28	more	more	ADV
cana-1292	62	29	nuanced	nuanced	ADJ
cana-1292	62	30	representation	representation	NOUN
cana-1292	62	31	of	of	ADP
cana-1292	62	32	uncertainty	uncertainty	NOUN
cana-1292	62	33	and	and	CCONJ
cana-1292	62	34	ambiguity	ambiguity	NOUN
cana-1292	62	35	in	in	ADP
cana-1292	62	36	image	image	NOUN
cana-1292	62	37	data	datum	NOUN
cana-1292	62	38	.	.	PUNCT
cana-1292	63	1	this	this	PRON
cana-1292	63	2	is	be	AUX
cana-1292	63	3	particularly	particularly	ADV
cana-1292	63	4	advantageous	advantageous	ADJ
cana-1292	63	5	in	in	ADP
cana-1292	63	6	scenarios	scenario	NOUN
cana-1292	63	7	involving	involve	VERB
cana-1292	63	8	noisy	noisy	ADJ
cana-1292	63	9	or	or	CCONJ
cana-1292	63	10	imperfect	imperfect	ADJ
cana-1292	63	11	images	image	NOUN
cana-1292	63	12	,	,	PUNCT
cana-1292	63	13	where	where	SCONJ
cana-1292	63	14	the	the	DET
cana-1292	63	15	boundaries	boundary	NOUN
cana-1292	63	16	between	between	ADP
cana-1292	63	17	different	different	ADJ
cana-1292	63	18	regions	region	NOUN
cana-1292	63	19	are	be	AUX
cana-1292	63	20	not	not	PART
cana-1292	63	21	clearly	clearly	ADV
cana-1292	63	22	defined	define	VERB
cana-1292	63	23	.	.	PUNCT
cana-1292	64	1	for	for	ADP
cana-1292	64	2	example	example	NOUN
cana-1292	64	3	,	,	PUNCT
cana-1292	64	4	in	in	ADP
cana-1292	64	5	image	image	NOUN
cana-1292	64	6	segmentation	segmentation	NOUN
cana-1292	64	7	and	and	CCONJ
cana-1292	64	8	edge	edge	NOUN
cana-1292	64	9	detection	detection	NOUN
cana-1292	64	10	,	,	PUNCT
cana-1292	64	11	fuzzy	fuzzy	ADJ
cana-1292	64	12	type-2	type-2	NUM
cana-1292	64	13	sets	set	NOUN
cana-1292	64	14	can	can	AUX
cana-1292	64	15	more	more	ADV
cana-1292	64	16	effectively	effectively	ADV
cana-1292	64	17	handle	handle	VERB
cana-1292	64	18	overlapping	overlap	VERB
cana-1292	64	19	or	or	CCONJ
cana-1292	64	20	indistinct	indistinct	ADJ
cana-1292	64	21	boundaries	boundary	NOUN
cana-1292	64	22	by	by	ADP
cana-1292	64	23	modelling	model	VERB
cana-1292	64	24	the	the	DET
cana-1292	64	25	uncertainty	uncertainty	NOUN
cana-1292	64	26	inherent	inherent	ADJ
cana-1292	64	27	in	in	ADP
cana-1292	64	28	pixel	pixel	PROPN
cana-1292	64	29	classification	classification	NOUN
cana-1292	64	30	.	.	PUNCT
cana-1292	65	1	as	as	ADP
cana-1292	65	2	a	a	DET
cana-1292	65	3	result	result	NOUN
cana-1292	65	4	,	,	PUNCT
cana-1292	65	5	this	this	DET
cana-1292	65	6	approach	approach	NOUN
cana-1292	65	7	improves	improve	VERB
cana-1292	65	8	the	the	DET
cana-1292	65	9	robustness	robustness	NOUN
cana-1292	65	10	and	and	CCONJ
cana-1292	65	11	accuracy	accuracy	NOUN
cana-1292	65	12	of	of	ADP
cana-1292	65	13	image	image	NOUN
cana-1292	65	14	processing	processing	NOUN
cana-1292	65	15	algorithms	algorithm	NOUN
cana-1292	65	16	,	,	PUNCT
cana-1292	65	17	leading	lead	VERB
cana-1292	65	18	to	to	ADP
cana-1292	65	19	enhanced	enhanced	ADJ
cana-1292	65	20	image	image	NOUN
cana-1292	65	21	analysis	analysis	NOUN
cana-1292	65	22	and	and	CCONJ
cana-1292	65	23	feature	feature	NOUN
cana-1292	65	24	extraction	extraction	NOUN
cana-1292	65	25	performance	performance	NOUN
cana-1292	65	26	.	.	PUNCT
cana-1292	66	1	the	the	DET
cana-1292	66	2	key	key	ADJ
cana-1292	66	3	difference	difference	NOUN
cana-1292	66	4	between	between	ADP
cana-1292	66	5	fuzzy	fuzzy	ADJ
cana-1292	66	6	type-1	type-1	PROPN
cana-1292	66	7	and	and	CCONJ
cana-1292	66	8	fuzzy	fuzzy	ADJ
cana-1292	66	9	type-2	type-2	NUM
cana-1292	66	10	logic	logic	NOUN
cana-1292	66	11	for	for	ADP
cana-1292	66	12	edge	edge	NOUN
cana-1292	66	13	detection	detection	NOUN
cana-1292	66	14	lies	lie	VERB
cana-1292	66	15	in	in	ADP
cana-1292	66	16	their	their	PRON
cana-1292	66	17	capacity	capacity	NOUN
cana-1292	66	18	to	to	PART
cana-1292	66	19	represent	represent	VERB
cana-1292	66	20	uncertainties	uncertainty	NOUN
cana-1292	66	21	within	within	ADP
cana-1292	66	22	membership	membership	NOUN
cana-1292	66	23	functions	function	NOUN
cana-1292	66	24	and	and	CCONJ
cana-1292	66	25	their	their	PRON
cana-1292	66	26	approaches	approach	NOUN
cana-1292	66	27	for	for	ADP
cana-1292	66	28	handling	handle	VERB
cana-1292	66	29	uncertainties	uncertainty	NOUN
cana-1292	66	30	within	within	ADP
cana-1292	66	31	membership	membership	NOUN
cana-1292	66	32	functions	function	NOUN
cana-1292	66	33	,	,	PUNCT
cana-1292	66	34	which	which	PRON
cana-1292	66	35	directly	directly	ADV
cana-1292	66	36	impacts	impact	VERB
cana-1292	66	37	the	the	DET
cana-1292	66	38	accuracy	accuracy	NOUN
cana-1292	66	39	and	and	CCONJ
cana-1292	66	40	complexity	complexity	NOUN
cana-1292	66	41	of	of	ADP
cana-1292	66	42	edge	edge	NOUN
cana-1292	66	43	detection	detection	NOUN
cana-1292	66	44	[	[	X
cana-1292	66	45	3	3	NUM
cana-1292	66	46	]	]	PUNCT
cana-1292	66	47	.	.	PUNCT
cana-1292	67	1	communications	communication	NOUN
cana-1292	67	2	on	on	ADP
cana-1292	67	3	applied	apply	VERB
cana-1292	67	4	nonlinear	nonlinear	ADJ
cana-1292	67	5	analysis	analysis	NOUN
cana-1292	67	6	issn	issn	NOUN
cana-1292	67	7	:	:	PUNCT
cana-1292	67	8	1074	1074	NUM
cana-1292	67	9	-	-	PUNCT
cana-1292	67	10	133x	133x	NUM
cana-1292	67	11	vol	vol	NOUN
cana-1292	67	12	31	31	NUM
cana-1292	67	13	no	no	NOUN
cana-1292	67	14	.	.	PUNCT
cana-1292	68	1	7s	7	NOUN
cana-1292	68	2	(	(	PUNCT
cana-1292	68	3	2024	2024	NUM
cana-1292	68	4	)	)	PUNCT
cana-1292	68	5	173	173	NUM
cana-1292	68	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1292	68	7	3	3	X
cana-1292	68	8	.	.	PUNCT
cana-1292	68	9	experiment	experiment	NOUN
cana-1292	68	10	and	and	CCONJ
cana-1292	68	11	results	result	NOUN
cana-1292	68	12	this	this	DET
cana-1292	68	13	section	section	NOUN
cana-1292	68	14	represents	represent	VERB
cana-1292	68	15	the	the	DET
cana-1292	68	16	comparison	comparison	NOUN
cana-1292	68	17	between	between	ADP
cana-1292	68	18	fuzzy	fuzzy	ADJ
cana-1292	68	19	type-1	type-1	PROPN
cana-1292	68	20	and	and	CCONJ
cana-1292	68	21	fuzzy	fuzzy	ADJ
cana-1292	68	22	type-2	type-2	NUM
cana-1292	68	23	logic	logic	NOUN
cana-1292	68	24	based	base	VERB
cana-1292	68	25	edge	edge	NOUN
cana-1292	68	26	detection	detection	NOUN
cana-1292	68	27	of	of	ADP
cana-1292	68	28	colour	colour	NOUN
cana-1292	68	29	images	image	NOUN
cana-1292	68	30	using	use	VERB
cana-1292	68	31	mshedgergb_t1	mshedgergb_t1	ADJ
cana-1292	68	32	and	and	CCONJ
cana-1292	68	33	mshedgergb_t2	mshedgergb_t2	ADJ
cana-1292	68	34	algorithms	algorithm	NOUN
cana-1292	68	35	.	.	PUNCT
cana-1292	69	1	research	research	NOUN
cana-1292	69	2	have	have	AUX
cana-1292	69	3	taken	take	VERB
cana-1292	69	4	three	three	NUM
cana-1292	69	5	different	different	ADJ
cana-1292	69	6	colour	colour	NOUN
cana-1292	69	7	images	image	NOUN
cana-1292	69	8	(	(	PUNCT
cana-1292	69	9	parrot	parrot	NOUN
cana-1292	69	10	,	,	PUNCT
cana-1292	69	11	apple	apple	NOUN
cana-1292	69	12	and	and	CCONJ
cana-1292	69	13	flower	flower	NOUN
cana-1292	69	14	)	)	PUNCT
cana-1292	69	15	for	for	ADP
cana-1292	69	16	experimental	experimental	ADJ
cana-1292	69	17	results	result	NOUN
cana-1292	69	18	and	and	CCONJ
cana-1292	69	19	the	the	DET
cana-1292	69	20	algorithms	algorithm	NOUN
cana-1292	69	21	based	base	VERB
cana-1292	69	22	on	on	ADP
cana-1292	69	23	fuzzy	fuzzy	ADJ
cana-1292	69	24	type-1	type-1	PROPN
cana-1292	69	25	and	and	CCONJ
cana-1292	69	26	fuzzy	fuzzy	ADJ
cana-1292	69	27	type-2	type-2	NUM
cana-1292	69	28	logic	logic	NOUN
cana-1292	69	29	are	be	AUX
cana-1292	69	30	implemented	implement	VERB
cana-1292	69	31	using	use	VERB
cana-1292	69	32	matlab	matlab	PROPN
cana-1292	69	33	software	software	NOUN
cana-1292	69	34	.	.	PUNCT
cana-1292	70	1	fig	fig	NOUN
cana-1292	70	2	.	.	PUNCT
cana-1292	71	1	1	1	NUM
cana-1292	71	2	shows	show	VERB
cana-1292	71	3	the	the	DET
cana-1292	71	4	edge	edge	NOUN
cana-1292	71	5	detected	detect	VERB
cana-1292	71	6	using	use	VERB
cana-1292	71	7	the	the	DET
cana-1292	71	8	prewitt	prewitt	PROPN
cana-1292	71	9	operator	operator	NOUN
cana-1292	71	10	,	,	PUNCT
cana-1292	71	11	mshedgergb_t1	mshedgergb_t1	ADJ
cana-1292	71	12	and	and	CCONJ
cana-1292	71	13	mshedgergb_t2	mshedgergb_t2	ADJ
cana-1292	71	14	edge	edge	NOUN
cana-1292	71	15	detection	detection	NOUN
cana-1292	71	16	algorithms	algorithm	NOUN
cana-1292	71	17	.	.	PUNCT
cana-1292	72	1	it	it	PRON
cana-1292	72	2	shows	show	VERB
cana-1292	72	3	that	that	SCONJ
cana-1292	72	4	mshedgergb_t1	mshedgergb_t1	ADJ
cana-1292	72	5	detects	detect	NOUN
cana-1292	72	6	more	more	ADJ
cana-1292	72	7	edges	edge	NOUN
cana-1292	72	8	than	than	ADP
cana-1292	72	9	prewitt	prewitt	PROPN
cana-1292	72	10	operator	operator	NOUN
cana-1292	72	11	and	and	CCONJ
cana-1292	72	12	mshedgergb_t2	mshedgergb_t2	NOUN
cana-1292	72	13	gives	give	VERB
cana-1292	72	14	sharp	sharp	ADJ
cana-1292	72	15	edges	edge	NOUN
cana-1292	72	16	as	as	ADP
cana-1292	72	17	compared	compare	VERB
cana-1292	72	18	to	to	ADP
cana-1292	72	19	other	other	ADJ
cana-1292	72	20	two	two	NUM
cana-1292	72	21	methods	method	NOUN
cana-1292	72	22	discussed	discuss	VERB
cana-1292	72	23	previously	previously	ADV
cana-1292	72	24	.	.	PUNCT
cana-1292	73	1	sr	sr	PROPN
cana-1292	73	2	.	.	PUNCT
cana-1292	74	1	no	no	INTJ
cana-1292	74	2	.	.	PUNCT
cana-1292	75	1	image	image	NOUN
cana-1292	75	2	name	name	NOUN
cana-1292	75	3	original	original	ADJ
cana-1292	75	4	image	image	NOUN
cana-1292	75	5	prewitt	prewitt	NOUN
cana-1292	75	6	operator	operator	NOUN
cana-1292	75	7	mshedgergb_t1	mshedgergb_t1	ADV
cana-1292	75	8	mshedgergb_t2	mshedgergb_t2	NOUN
cana-1292	75	9	1	1	NUM
cana-1292	75	10	.	.	X
cana-1292	75	11	parrot	parrot	NOUN
cana-1292	75	12	2	2	NUM
cana-1292	75	13	.	.	PUNCT
cana-1292	75	14	apple	apple	NOUN
cana-1292	75	15	3	3	NUM
cana-1292	75	16	.	.	PUNCT
cana-1292	75	17	flower	flower	NOUN
cana-1292	75	18	fig	fig	NOUN
cana-1292	75	19	.	.	PUNCT
cana-1292	76	1	1	1	NUM
cana-1292	76	2	edge	edge	NOUN
cana-1292	76	3	detection	detection	NOUN
cana-1292	76	4	using	use	VERB
cana-1292	76	5	different	different	ADJ
cana-1292	76	6	edge	edge	NOUN
cana-1292	76	7	detection	detection	NOUN
cana-1292	76	8	methods	method	NOUN
cana-1292	76	9	fig	fig	NOUN
cana-1292	76	10	.	.	PUNCT
cana-1292	77	1	2	2	NUM
cana-1292	77	2	gives	give	VERB
cana-1292	77	3	comparative	comparative	ADJ
cana-1292	77	4	analysis	analysis	NOUN
cana-1292	77	5	of	of	ADP
cana-1292	77	6	edges	edge	NOUN
cana-1292	77	7	detected	detect	VERB
cana-1292	77	8	in	in	ADP
cana-1292	77	9	different	different	ADJ
cana-1292	77	10	image	image	NOUN
cana-1292	77	11	using	use	VERB
cana-1292	77	12	mshedgergb_t1	mshedgergb_t1	ADJ
cana-1292	77	13	and	and	CCONJ
cana-1292	77	14	mshedgergb_t2	mshedgergb_t2	ADJ
cana-1292	77	15	algorithms	algorithm	NOUN
cana-1292	77	16	for	for	ADP
cana-1292	77	17	different	different	ADJ
cana-1292	77	18	ranges	range	NOUN
cana-1292	77	19	of	of	ADP
cana-1292	77	20	degree	degree	NOUN
cana-1292	77	21	of	of	ADP
cana-1292	77	22	membership	membership	NOUN
cana-1292	77	23	values	value	NOUN
cana-1292	77	24	.	.	PUNCT
cana-1292	78	1	it	it	PRON
cana-1292	78	2	demonstrates	demonstrate	VERB
cana-1292	78	3	the	the	DET
cana-1292	78	4	variations	variation	NOUN
cana-1292	78	5	in	in	ADP
cana-1292	78	6	edges	edge	NOUN
cana-1292	78	7	detected	detect	VERB
cana-1292	78	8	for	for	ADP
cana-1292	78	9	three	three	NUM
cana-1292	78	10	different	different	ADJ
cana-1292	78	11	images	image	NOUN
cana-1292	78	12	,	,	PUNCT
cana-1292	78	13	for	for	ADP
cana-1292	78	14	membership	membership	NOUN
cana-1292	78	15	values	value	NOUN
cana-1292	78	16	ranging	range	VERB
cana-1292	78	17	from	from	ADP
cana-1292	78	18	0.50.9	0.50.9	NUM
cana-1292	78	19	,	,	PUNCT
cana-1292	78	20	0.6	0.6	NUM
cana-1292	78	21	-	-	SYM
cana-1292	78	22	0.9	0.9	NUM
cana-1292	78	23	,	,	PUNCT
cana-1292	78	24	0.7	0.7	NUM
cana-1292	78	25	-	-	SYM
cana-1292	78	26	0.9	0.9	NUM
cana-1292	78	27	,	,	PUNCT
cana-1292	78	28	0.8	0.8	NUM
cana-1292	78	29	-	-	SYM
cana-1292	78	30	0.9	0.9	NUM
cana-1292	78	31	and	and	CCONJ
cana-1292	78	32	0.9	0.9	NUM
cana-1292	78	33	-	-	SYM
cana-1292	78	34	1.0	1.0	NUM
cana-1292	78	35	.	.	PUNCT
cana-1292	79	1	this	this	DET
cana-1292	79	2	comparative	comparative	ADJ
cana-1292	79	3	analysis	analysis	NOUN
cana-1292	79	4	highlights	highlight	VERB
cana-1292	79	5	the	the	DET
cana-1292	79	6	distinct	distinct	ADJ
cana-1292	79	7	characteristics	characteristic	NOUN
cana-1292	79	8	of	of	ADP
cana-1292	79	9	each	each	DET
cana-1292	79	10	algorithm	algorithm	NOUN
cana-1292	79	11	.	.	PUNCT
cana-1292	80	1	as	as	SCONJ
cana-1292	80	2	shown	show	VERB
cana-1292	80	3	in	in	ADP
cana-1292	80	4	fig	fig	NOUN
cana-1292	80	5	.	.	PUNCT
cana-1292	81	1	2	2	NUM
cana-1292	81	2	,	,	PUNCT
cana-1292	81	3	mshedgergb_t1	mshedgergb_t1	ADJ
cana-1292	81	4	algorithm	algorithm	NOUN
cana-1292	81	5	tends	tend	VERB
cana-1292	81	6	to	to	PART
cana-1292	81	7	produce	produce	VERB
cana-1292	81	8	smoother	smooth	ADJ
cana-1292	81	9	and	and	CCONJ
cana-1292	81	10	more	more	ADV
cana-1292	81	11	continuous	continuous	ADJ
cana-1292	81	12	edges	edge	NOUN
cana-1292	81	13	.	.	PUNCT
cana-1292	82	1	the	the	DET
cana-1292	82	2	mshedgergb_t2	mshedgergb_t2	ADJ
cana-1292	82	3	algorithm	algorithm	NOUN
cana-1292	82	4	gives	give	VERB
cana-1292	82	5	sharper	sharp	ADJ
cana-1292	82	6	edges	edge	NOUN
cana-1292	82	7	as	as	ADP
cana-1292	82	8	compared	compare	VERB
cana-1292	82	9	to	to	ADP
cana-1292	82	10	the	the	DET
cana-1292	82	11	results	result	NOUN
cana-1292	82	12	from	from	ADP
cana-1292	82	13	the	the	DET
cana-1292	82	14	mshedgergb_t1	mshedgergb_t1	ADJ
cana-1292	82	15	algorithm	algorithm	NOUN
cana-1292	82	16	.	.	PUNCT
cana-1292	83	1	both	both	DET
cana-1292	83	2	algorithms	algorithm	NOUN
cana-1292	83	3	are	be	AUX
cana-1292	83	4	based	base	VERB
cana-1292	83	5	on	on	ADP
cana-1292	83	6	the	the	DET
cana-1292	83	7	mamdani	mamdani	NOUN
cana-1292	83	8	fuzzy	fuzzy	ADJ
cana-1292	83	9	inference	inference	NOUN
cana-1292	83	10	system	system	NOUN
cana-1292	83	11	.	.	PUNCT
cana-1292	84	1	to	to	PART
cana-1292	84	2	define	define	VERB
cana-1292	84	3	the	the	DET
cana-1292	84	4	crisp	crisp	ADJ
cana-1292	84	5	values	value	NOUN
cana-1292	84	6	in	in	ADP
cana-1292	84	7	the	the	DET
cana-1292	84	8	fuzzy	fuzzy	ADJ
cana-1292	84	9	system	system	NOUN
cana-1292	84	10	for	for	ADP
cana-1292	84	11	input	input	NOUN
cana-1292	84	12	,	,	PUNCT
cana-1292	84	13	these	these	DET
cana-1292	84	14	algorithms	algorithm	NOUN
cana-1292	84	15	use	use	VERB
cana-1292	84	16	the	the	DET
cana-1292	84	17	horizontal	horizontal	ADJ
cana-1292	84	18	and	and	CCONJ
cana-1292	84	19	vertical	vertical	ADJ
cana-1292	84	20	differences	difference	NOUN
cana-1292	84	21	of	of	ADP
cana-1292	84	22	pixel	pixel	ADJ
cana-1292	84	23	intensities	intensity	NOUN
cana-1292	84	24	of	of	ADP
cana-1292	84	25	image	image	NOUN
cana-1292	84	26	.	.	PUNCT
cana-1292	85	1	for	for	ADP
cana-1292	85	2	fuzzy	fuzzy	ADJ
cana-1292	85	3	inference	inference	NOUN
cana-1292	85	4	rules	rule	NOUN
cana-1292	85	5	,	,	PUNCT
cana-1292	85	6	four	four	NUM
cana-1292	85	7	rules	rule	NOUN
cana-1292	85	8	are	be	AUX
cana-1292	85	9	applied	apply	VERB
cana-1292	85	10	to	to	PART
cana-1292	85	11	determine	determine	VERB
cana-1292	85	12	the	the	DET
cana-1292	85	13	degree	degree	NOUN
cana-1292	85	14	of	of	ADP
cana-1292	85	15	membership	membership	NOUN
cana-1292	85	16	of	of	ADP
cana-1292	85	17	pixels	pixel	NOUN
cana-1292	85	18	in	in	ADP
cana-1292	85	19	three	three	NUM
cana-1292	85	20	different	different	ADJ
cana-1292	85	21	fuzzy	fuzzy	ADJ
cana-1292	85	22	sets	set	NOUN
cana-1292	85	23	i.e.	i.e.	X
cana-1292	85	24	white	white	ADJ
cana-1292	85	25	,	,	PUNCT
cana-1292	85	26	gray	gray	ADJ
cana-1292	85	27	and	and	CCONJ
cana-1292	85	28	black	black	ADJ
cana-1292	85	29	.	.	PUNCT
cana-1292	86	1	in	in	ADP
cana-1292	86	2	defuzzification	defuzzification	NOUN
cana-1292	86	3	,	,	PUNCT
cana-1292	86	4	the	the	DET
cana-1292	86	5	centroid	centroid	NOUN
cana-1292	86	6	method	method	NOUN
cana-1292	86	7	is	be	AUX
cana-1292	86	8	used	use	VERB
cana-1292	86	9	to	to	PART
cana-1292	86	10	aggregate	aggregate	VERB
cana-1292	86	11	all	all	DET
cana-1292	86	12	input	input	NOUN
cana-1292	86	13	values	value	NOUN
cana-1292	86	14	and	and	CCONJ
cana-1292	86	15	provide	provide	VERB
cana-1292	86	16	a	a	DET
cana-1292	86	17	single	single	ADJ
cana-1292	86	18	crisp	crisp	ADJ
cana-1292	86	19	value	value	NOUN
cana-1292	86	20	.	.	PUNCT
cana-1292	87	1	table	table	NOUN
cana-1292	87	2	1	1	NUM
cana-1292	87	3	demonstrate	demonstrate	VERB
cana-1292	87	4	a	a	DET
cana-1292	87	5	comparative	comparative	ADJ
cana-1292	87	6	analysis	analysis	NOUN
cana-1292	87	7	between	between	ADP
cana-1292	87	8	two	two	NUM
cana-1292	87	9	image	image	NOUN
cana-1292	87	10	processing	processing	NOUN
cana-1292	87	11	algorithms	algorithm	NOUN
cana-1292	87	12	,	,	PUNCT
cana-1292	87	13	mshedgergb_t1	mshedgergb_t1	ADJ
cana-1292	87	14	and	and	CCONJ
cana-1292	87	15	mshedgergb_t2	mshedgergb_t2	NOUN
cana-1292	87	16	,	,	PUNCT
cana-1292	87	17	across	across	ADP
cana-1292	87	18	various	various	ADJ
cana-1292	87	19	membership	membership	NOUN
cana-1292	87	20	values	value	NOUN
cana-1292	87	21	(	(	PUNCT
cana-1292	87	22	0.5	0.5	NUM
cana-1292	87	23	-	-	SYM
cana-1292	87	24	1.0	1.0	NUM
cana-1292	87	25	)	)	PUNCT
cana-1292	87	26	for	for	ADP
cana-1292	87	27	three	three	NUM
cana-1292	87	28	images	image	NOUN
cana-1292	87	29	:	:	PUNCT
cana-1292	87	30	parrot	parrot	NOUN
cana-1292	87	31	,	,	PUNCT
cana-1292	87	32	apple	apple	NOUN
cana-1292	87	33	,	,	PUNCT
cana-1292	87	34	and	and	CCONJ
cana-1292	87	35	flower	flower	NOUN
cana-1292	87	36	.	.	PUNCT
cana-1292	88	1	evaluation	evaluation	NOUN
cana-1292	88	2	parameters	parameter	NOUN
cana-1292	88	3	include	include	VERB
cana-1292	88	4	edge	edge	NOUN
cana-1292	88	5	pixels	pixel	NOUN
cana-1292	88	6	,	,	PUNCT
cana-1292	88	7	psnr	psnr	NOUN
cana-1292	88	8	(	(	PUNCT
cana-1292	88	9	peak	peak	NOUN
cana-1292	88	10	signalcommunications	signalcommunication	NOUN
cana-1292	88	11	on	on	ADP
cana-1292	88	12	applied	apply	VERB
cana-1292	88	13	nonlinear	nonlinear	ADJ
cana-1292	88	14	analysis	analysis	NOUN
cana-1292	88	15	issn	issn	NOUN
cana-1292	88	16	:	:	PUNCT
cana-1292	88	17	1074	1074	NUM
cana-1292	88	18	-	-	PUNCT
cana-1292	88	19	133x	133x	NUM
cana-1292	88	20	vol	vol	NOUN
cana-1292	88	21	31	31	NUM
cana-1292	88	22	no	no	NOUN
cana-1292	88	23	.	.	PUNCT
cana-1292	89	1	7s	7	NOUN
cana-1292	89	2	(	(	PUNCT
cana-1292	89	3	2024	2024	NUM
cana-1292	89	4	)	)	PUNCT
cana-1292	89	5	174	174	NUM
cana-1292	89	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1292	89	7	to	to	ADP
cana-1292	89	8	-	-	PUNCT
cana-1292	89	9	noise	noise	NOUN
cana-1292	89	10	ratio	ratio	NOUN
cana-1292	89	11	)	)	PUNCT
cana-1292	89	12	,	,	PUNCT
cana-1292	89	13	mse	mse	PROPN
cana-1292	89	14	(	(	PUNCT
cana-1292	89	15	mean	mean	VERB
cana-1292	89	16	squared	square	VERB
cana-1292	89	17	error	error	NOUN
cana-1292	89	18	)	)	PUNCT
cana-1292	89	19	,	,	PUNCT
cana-1292	89	20	and	and	CCONJ
cana-1292	89	21	l2rat	l2rat	NOUN
cana-1292	89	22	(	(	PUNCT
cana-1292	89	23	energy	energy	NOUN
cana-1292	89	24	ratio	ratio	NOUN
cana-1292	89	25	)	)	PUNCT
cana-1292	89	26	.	.	PUNCT
cana-1292	90	1	they	they	PRON
cana-1292	90	2	are	be	AUX
cana-1292	90	3	used	use	VERB
cana-1292	90	4	to	to	PART
cana-1292	90	5	show	show	VERB
cana-1292	90	6	the	the	DET
cana-1292	90	7	similarity	similarity	NOUN
cana-1292	90	8	between	between	ADP
cana-1292	90	9	the	the	DET
cana-1292	90	10	edge	edge	NOUN
cana-1292	90	11	image	image	NOUN
cana-1292	90	12	using	use	VERB
cana-1292	90	13	prewitt	prewitt	PROPN
cana-1292	90	14	,	,	PUNCT
cana-1292	90	15	mshedgergb_t1	mshedgergb_t1	ADJ
cana-1292	90	16	and	and	CCONJ
cana-1292	90	17	mshedgergb_t2	mshedgergb_t2	ADJ
cana-1292	90	18	algorithms	algorithm	NOUN
cana-1292	90	19	.	.	PUNCT
cana-1292	91	1	these	these	DET
cana-1292	91	2	metrics	metric	NOUN
cana-1292	91	3	are	be	AUX
cana-1292	91	4	applied	apply	VERB
cana-1292	91	5	on	on	ADP
cana-1292	91	6	both	both	DET
cana-1292	91	7	edge	edge	NOUN
cana-1292	91	8	image	image	NOUN
cana-1292	91	9	obtained	obtain	VERB
cana-1292	91	10	from	from	ADP
cana-1292	91	11	prewitt	prewitt	PROPN
cana-1292	91	12	operator	operator	NOUN
cana-1292	91	13	and	and	CCONJ
cana-1292	91	14	algorithms	algorithm	NOUN
cana-1292	91	15	.	.	PUNCT
cana-1292	92	1	at	at	ADP
cana-1292	92	2	the	the	DET
cana-1292	92	3	highest	high	ADJ
cana-1292	92	4	membership	membership	NOUN
cana-1292	92	5	value	value	NOUN
cana-1292	92	6	(	(	PUNCT
cana-1292	92	7	0.9	0.9	NUM
cana-1292	92	8	-	-	SYM
cana-1292	92	9	1.0	1.0	NUM
cana-1292	92	10	)	)	PUNCT
cana-1292	92	11	,	,	PUNCT
cana-1292	92	12	mshedgergb_t2	mshedgergb_t2	ADJ
cana-1292	92	13	algorithm	algorithm	NOUN
cana-1292	92	14	gives	give	VERB
cana-1292	92	15	in	in	ADP
cana-1292	92	16	lower	low	ADJ
cana-1292	92	17	psnr	psnr	NOUN
cana-1292	92	18	value	value	NOUN
cana-1292	92	19	.	.	PUNCT
cana-1292	93	1	similarly	similarly	ADV
cana-1292	93	2	,	,	PUNCT
cana-1292	93	3	for	for	ADP
cana-1292	93	4	the	the	DET
cana-1292	93	5	apple	apple	NOUN
cana-1292	93	6	and	and	CCONJ
cana-1292	93	7	flower	flower	NOUN
cana-1292	93	8	images	image	NOUN
cana-1292	93	9	,	,	PUNCT
cana-1292	93	10	mshedgergb_t1	mshedgergb_t1	NOUN
cana-1292	93	11	shows	show	VERB
cana-1292	93	12	better	well	ADJ
cana-1292	93	13	edge	edge	NOUN
cana-1292	93	14	detection	detection	NOUN
cana-1292	93	15	and	and	CCONJ
cana-1292	93	16	higher	high	ADJ
cana-1292	93	17	psnr	psnr	NOUN
cana-1292	93	18	,	,	PUNCT
cana-1292	93	19	except	except	SCONJ
cana-1292	93	20	at	at	ADP
cana-1292	93	21	the	the	DET
cana-1292	93	22	highest	high	ADJ
cana-1292	93	23	membership	membership	NOUN
cana-1292	93	24	value	value	NOUN
cana-1292	93	25	where	where	SCONJ
cana-1292	93	26	mshedgergb_t2	mshedgergb_t2	NOUN
cana-1292	93	27	significantly	significantly	ADV
cana-1292	93	28	improves	improve	VERB
cana-1292	93	29	.	.	PUNCT
cana-1292	94	1	at	at	ADP
cana-1292	94	2	high	high	ADJ
cana-1292	94	3	membership	membership	NOUN
cana-1292	94	4	value	value	NOUN
cana-1292	94	5	mshedgergb_t2	mshedgergb_t2	NOUN
cana-1292	94	6	give	give	VERB
cana-1292	94	7	sharp	sharp	ADJ
cana-1292	94	8	edge	edge	NOUN
cana-1292	94	9	and	and	CCONJ
cana-1292	94	10	low	low	ADJ
cana-1292	94	11	psnr	psnr	NOUN
cana-1292	94	12	and	and	CCONJ
cana-1292	94	13	high	high	ADJ
cana-1292	94	14	mse	mse	NOUN
cana-1292	94	15	values	value	NOUN
cana-1292	94	16	for	for	ADP
cana-1292	94	17	all	all	DET
cana-1292	94	18	image	image	NOUN
cana-1292	94	19	.	.	PUNCT
cana-1292	95	1	when	when	SCONJ
cana-1292	95	2	the	the	DET
cana-1292	95	3	membership	membership	NOUN
cana-1292	95	4	value	value	NOUN
cana-1292	95	5	increases	increase	VERB
cana-1292	95	6	from	from	ADP
cana-1292	95	7	0.5	0.5	NUM
cana-1292	95	8	-	-	SYM
cana-1292	95	9	0.9	0.9	NUM
cana-1292	95	10	to	to	ADP
cana-1292	95	11	0.9	0.9	NUM
cana-1292	95	12	-	-	SYM
cana-1292	95	13	1.0	1.0	NUM
cana-1292	95	14	,	,	PUNCT
cana-1292	95	15	the	the	DET
cana-1292	95	16	number	number	NOUN
cana-1292	95	17	of	of	ADP
cana-1292	95	18	edge	edge	NOUN
cana-1292	95	19	pixels	pixel	NOUN
cana-1292	95	20	typically	typically	ADV
cana-1292	95	21	decreases	decrease	VERB
cana-1292	95	22	,	,	PUNCT
cana-1292	95	23	while	while	SCONJ
cana-1292	95	24	psnr	psnr	NOUN
cana-1292	95	25	(	(	PUNCT
cana-1292	95	26	peak	peak	NOUN
cana-1292	95	27	signal	signal	NOUN
cana-1292	95	28	-	-	PUNCT
cana-1292	95	29	to	to	ADP
cana-1292	95	30	-	-	PUNCT
cana-1292	95	31	noise	noise	NOUN
cana-1292	95	32	ratio	ratio	NOUN
cana-1292	95	33	)	)	PUNCT
cana-1292	95	34	generally	generally	ADV
cana-1292	95	35	improves	improve	VERB
cana-1292	95	36	and	and	CCONJ
cana-1292	95	37	mse	mse	NOUN
cana-1292	95	38	(	(	PUNCT
cana-1292	95	39	mean	mean	VERB
cana-1292	95	40	squared	square	VERB
cana-1292	95	41	error	error	NOUN
cana-1292	95	42	)	)	PUNCT
cana-1292	95	43	decreases	decrease	VERB
cana-1292	95	44	.	.	PUNCT
cana-1292	96	1	image	image	NOUN
cana-1292	96	2	name	name	NOUN
cana-1292	96	3	edge	edge	NOUN
cana-1292	96	4	detection	detection	NOUN
cana-1292	96	5	type	type	VERB
cana-1292	96	6	different	different	ADJ
cana-1292	96	7	membership	membership	NOUN
cana-1292	96	8	value	value	NOUN
cana-1292	96	9	0.5	0.5	NUM
cana-1292	96	10	-	-	SYM
cana-1292	96	11	0.9	0.9	NUM
cana-1292	96	12	0.6	0.6	NUM
cana-1292	96	13	-	-	SYM
cana-1292	96	14	0.9	0.9	NUM
cana-1292	96	15	0.7	0.7	NUM
cana-1292	96	16	-	-	SYM
cana-1292	96	17	0.9	0.9	NUM
cana-1292	96	18	0.8	0.8	NUM
cana-1292	96	19	-	-	SYM
cana-1292	96	20	0.9	0.9	NUM
cana-1292	96	21	0.9	0.9	NUM
cana-1292	96	22	-	-	SYM
cana-1292	96	23	1.0	1.0	NUM
cana-1292	96	24	parro	parro	PROPN
cana-1292	96	25	t	t	PROPN
cana-1292	96	26	mshedgergb	mshedgergb	PROPN
cana-1292	96	27	_	_	PUNCT
cana-1292	97	1	t1	t1	NOUN
cana-1292	98	1	mshedgergb	mshedgergb	PROPN
cana-1292	98	2	_	_	PUNCT
cana-1292	98	3	t2	t2	NOUN
cana-1292	98	4	apple	apple	NOUN
cana-1292	98	5	mshedgergb	mshedgergb	PROPN
cana-1292	98	6	_	_	PUNCT
cana-1292	98	7	t1	t1	NOUN
cana-1292	99	1	mshedgergb	mshedgergb	PROPN
cana-1292	99	2	_	_	PUNCT
cana-1292	99	3	t2	t2	PROPN
cana-1292	99	4	mshedgergb	mshedgergb	PROPN
cana-1292	99	5	_	_	PUNCT
cana-1292	100	1	t1	t1	NOUN
cana-1292	100	2	communications	communication	NOUN
cana-1292	100	3	on	on	ADP
cana-1292	100	4	applied	apply	VERB
cana-1292	100	5	nonlinear	nonlinear	ADJ
cana-1292	100	6	analysis	analysis	NOUN
cana-1292	100	7	issn	issn	NOUN
cana-1292	100	8	:	:	PUNCT
cana-1292	100	9	1074	1074	NUM
cana-1292	100	10	-	-	PUNCT
cana-1292	100	11	133x	133x	NUM
cana-1292	100	12	vol	vol	NOUN
cana-1292	100	13	31	31	NUM
cana-1292	100	14	no	no	NOUN
cana-1292	100	15	.	.	PUNCT
cana-1292	101	1	7s	7	NOUN
cana-1292	101	2	(	(	PUNCT
cana-1292	101	3	2024	2024	NUM
cana-1292	101	4	)	)	PUNCT
cana-1292	101	5	175	175	NUM
cana-1292	101	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1292	101	7	flowe	flowe	NOUN
cana-1292	101	8	r	r	NOUN
cana-1292	101	9	mshedgergb	mshedgergb	PROPN
cana-1292	101	10	_	_	PUNCT
cana-1292	101	11	t2	t2	PROPN
cana-1292	101	12	fig.2	fig.2	VERB
cana-1292	101	13	comparative	comparative	ADJ
cana-1292	101	14	analysis	analysis	NOUN
cana-1292	101	15	of	of	ADP
cana-1292	101	16	edges	edge	NOUN
cana-1292	101	17	detected	detect	VERB
cana-1292	101	18	using	use	VERB
cana-1292	101	19	mshedgergb_t1	mshedgergb_t1	ADJ
cana-1292	101	20	and	and	CCONJ
cana-1292	101	21	mshedgergb_t2	mshedgergb_t2	ADJ
cana-1292	101	22	algorithms	algorithm	NOUN
cana-1292	101	23	for	for	ADP
cana-1292	101	24	different	different	ADJ
cana-1292	101	25	membership	membership	NOUN
cana-1292	101	26	ranges	range	VERB
cana-1292	101	27	table	table	NOUN
cana-1292	101	28	1	1	NUM
cana-1292	101	29	evaluation	evaluation	NOUN
cana-1292	101	30	metrics	metric	NOUN
cana-1292	101	31	for	for	ADP
cana-1292	101	32	varying	vary	VERB
cana-1292	101	33	membership	membership	NOUN
cana-1292	101	34	values	value	NOUN
cana-1292	101	35	(	(	PUNCT
cana-1292	101	36	mshedgergb_t1	mshedgergb_t1	ADJ
cana-1292	101	37	and	and	CCONJ
cana-1292	101	38	mshedgergb_t2	mshedgergb_t2	ADJ
cana-1292	101	39	)	)	PUNCT
cana-1292	101	40	sr	sr	PROPN
cana-1292	101	41	.	.	PUNCT
cana-1292	102	1	n	n	CCONJ
cana-1292	102	2	o.	o.	NOUN
cana-1292	102	3	image	image	NOUN
cana-1292	102	4	name	name	NOUN
cana-1292	102	5	memb	memb	NOUN
cana-1292	102	6	ership	ership	NOUN
cana-1292	102	7	value	value	NOUN
cana-1292	102	8	mshedgergb_t1	mshedgergb_t1	ADJ
cana-1292	102	9	mshedgergb_t2	mshedgergb_t2	ADJ
cana-1292	102	10	edge	edge	NOUN
cana-1292	102	11	pixels	pixel	NOUN
cana-1292	102	12	psnr	psnr	NOUN
cana-1292	102	13	value	value	NOUN
cana-1292	102	14	mse	mse	NOUN
cana-1292	102	15	value	value	NOUN
cana-1292	102	16	l2ra	l2ra	PUNCT
cana-1292	102	17	t	t	NOUN
cana-1292	102	18	value	value	NOUN
cana-1292	102	19	edge	edge	NOUN
cana-1292	102	20	pixels	pixel	NOUN
cana-1292	102	21	psnr	psnr	NOUN
cana-1292	102	22	value	value	NOUN
cana-1292	102	23	mse	mse	NOUN
cana-1292	102	24	value	value	NOUN
cana-1292	102	25	l2ra	l2ra	PUNCT
cana-1292	102	26	t	t	NOUN
cana-1292	102	27	value	value	NOUN
cana-1292	102	28	1	1	NUM
cana-1292	102	29	parrot	parrot	NOUN
cana-1292	102	30	0.5	0.5	NUM
cana-1292	102	31	-	-	SYM
cana-1292	102	32	0.9	0.9	NUM
cana-1292	102	33	64292	64292	NUM
cana-1292	102	34	9.384	9.384	NUM
cana-1292	102	35	7492.03	7492.03	NUM
cana-1292	102	36	2.685	2.685	NUM
cana-1292	102	37	28451	28451	NUM
cana-1292	102	38	12.104	12.104	NUM
cana-1292	102	39	4005.28	4005.28	NUM
cana-1292	102	40	1.215	1.215	NUM
cana-1292	102	41	0.6	0.6	NUM
cana-1292	102	42	-	-	SYM
cana-1292	102	43	0.9	0.9	NUM
cana-1292	102	44	63554	63554	NUM
cana-1292	102	45	9.334	9.334	NUM
cana-1292	102	46	7579.72	7579.72	NUM
cana-1292	102	47	2.671	2.671	NUM
cana-1292	102	48	27971	27971	NUM
cana-1292	102	49	12.038	12.038	NUM
cana-1292	102	50	4066.44	4066.44	NUM
cana-1292	102	51	1.206	1.206	NUM
cana-1292	102	52	0.7	0.7	NUM
cana-1292	102	53	-	-	SYM
cana-1292	102	54	0.9	0.9	NUM
cana-1292	102	55	60703	60703	NUM
cana-1292	102	56	9.140	9.140	NUM
cana-1292	102	57	7925.98	7925.98	NUM
cana-1292	102	58	2.598	2.598	NUM
cana-1292	102	59	26702	26702	NUM
cana-1292	102	60	11.842	11.842	NUM
cana-1292	102	61	4254.72	4254.72	NUM
cana-1292	102	62	1.174	1.174	NUM
cana-1292	102	63	0.8	0.8	NUM
cana-1292	102	64	-	-	SYM
cana-1292	102	65	0.9	0.9	NUM
cana-1292	102	66	52071	52071	NUM
cana-1292	102	67	8.963	8.963	NUM
cana-1292	102	68	8255.46	8255.46	NUM
cana-1292	102	69	2.303	2.303	NUM
cana-1292	102	70	24571	24571	NUM
cana-1292	102	71	11.598	11.598	NUM
cana-1292	102	72	4500.27	4500.27	NUM
cana-1292	102	73	1.102	1.102	NUM
cana-1292	102	74	0.9	0.9	NUM
cana-1292	102	75	-	-	SYM
cana-1292	102	76	1.0	1.0	NUM
cana-1292	102	77	230502	230502	NUM
cana-1292	102	78	2.291	2.291	NUM
cana-1292	102	79	38363.40	38363.40	NUM
cana-1292	102	80	11.71	11.71	NUM
cana-1292	102	81	266347	266347	NUM
cana-1292	102	82	1.745	1.745	NUM
cana-1292	102	83	43503.01	43503.01	NUM
cana-1292	102	84	13.764	13.764	NUM
cana-1292	102	85	2	2	NUM
cana-1292	102	86	apple	apple	NOUN
cana-1292	102	87	0.5	0.5	NUM
cana-1292	102	88	-	-	SYM
cana-1292	102	89	0.9	0.9	NUM
cana-1292	102	90	36565	36565	NUM
cana-1292	102	91	8.903	8.903	NUM
cana-1292	102	92	8369.43	8369.43	NUM
cana-1292	102	93	2.257	2.257	NUM
cana-1292	102	94	19257	19257	NUM
cana-1292	102	95	10.754	10.754	NUM
cana-1292	102	96	5464.99	5464.99	NUM
cana-1292	102	97	1.248	1.248	NUM
cana-1292	102	98	0.6	0.6	NUM
cana-1292	102	99	-	-	SYM
cana-1292	102	100	0.9	0.9	NUM
cana-1292	102	101	36196	36196	NUM
cana-1292	102	102	8.849	8.849	NUM
cana-1292	102	103	8474.04	8474.04	NUM
cana-1292	102	104	2.246	2.246	NUM
cana-1292	102	105	19142	19142	NUM
cana-1292	102	106	10.724	10.724	NUM
cana-1292	102	107	5503.40	5503.40	NUM
cana-1292	102	108	1.245	1.245	NUM
cana-1292	102	109	0.7	0.7	NUM
cana-1292	102	110	-	-	SYM
cana-1292	102	111	0.9	0.9	NUM
cana-1292	102	112	34199	34199	NUM
cana-1292	102	113	8.658	8.658	NUM
cana-1292	102	114	8856.30	8856.30	NUM
cana-1292	102	115	2.168	2.168	NUM
cana-1292	102	116	18510	18510	NUM
cana-1292	102	117	10.570	10.570	NUM
cana-1292	102	118	5701.30	5701.30	NUM
cana-1292	102	119	1.220	1.220	NUM
cana-1292	102	120	0.8	0.8	NUM
cana-1292	102	121	-	-	SYM
cana-1292	102	122	0.9	0.9	NUM
cana-1292	102	123	27021	27021	NUM
cana-1292	102	124	8.564	8.564	NUM
cana-1292	102	125	9049.38	9049.38	NUM
cana-1292	102	126	1.800	1.800	NUM
cana-1292	102	127	16998	16998	NUM
cana-1292	102	128	10.359	10.359	NUM
cana-1292	102	129	5985.51	5985.51	NUM
cana-1292	102	130	1.142	1.142	NUM
cana-1292	102	131	0.9	0.9	NUM
cana-1292	102	132	-	-	SYM
cana-1292	102	133	1.0	1.0	NUM
cana-1292	102	134	115148	115148	NUM
cana-1292	102	135	2.475	2.475	NUM
cana-1292	102	136	36776.28	36776.28	NUM
cana-1292	102	137	8.863	8.863	NUM
cana-1292	102	138	132456	132456	NUM
cana-1292	102	139	1.958	1.958	NUM
cana-1292	102	140	41425.70	41425.70	NUM
cana-1292	102	141	10.375	10.375	NUM
cana-1292	102	142	3	3	NUM
cana-1292	102	143	flower	flower	NOUN
cana-1292	102	144	0.5	0.5	NUM
cana-1292	102	145	-	-	SYM
cana-1292	102	146	0.9	0.9	NUM
cana-1292	102	147	57632	57632	NUM
cana-1292	102	148	6.464	6.464	NUM
cana-1292	102	149	14676.63	14676.63	NUM
cana-1292	102	150	1.453	1.453	NUM
cana-1292	102	151	39457	39457	NUM
cana-1292	102	152	7.034	7.034	NUM
cana-1292	102	153	12870.50	12870.50	NUM
cana-1292	102	154	1.084	1.084	NUM
cana-1292	102	155	0.6	0.6	NUM
cana-1292	102	156	-	-	SYM
cana-1292	102	157	0.9	0.9	NUM
cana-1292	102	158	56586	56586	NUM
cana-1292	102	159	6.343	6.343	NUM
cana-1292	102	160	15091.53	15091.53	NUM
cana-1292	102	161	1.440	1.440	NUM
cana-1292	102	162	38935	38935	NUM
cana-1292	102	163	6.960	6.960	NUM
cana-1292	102	164	13094.20	13094.20	NUM
cana-1292	102	165	1.077	1.077	NUM
cana-1292	102	166	0.7	0.7	NUM
cana-1292	102	167	-	-	SYM
cana-1292	102	168	0.9	0.9	NUM
cana-1292	102	169	51586	51586	NUM
cana-1292	102	170	5.924	5.924	NUM
cana-1292	102	171	16619.99	16619.99	NUM
cana-1292	102	172	1.356	1.356	NUM
cana-1292	102	173	37340	37340	NUM
cana-1292	102	174	6.743	6.743	NUM
cana-1292	102	175	13764.50	13764.50	NUM
cana-1292	102	176	1.051	1.051	NUM
cana-1292	102	177	0.8	0.8	NUM
cana-1292	102	178	-	-	SYM
cana-1292	102	179	0.9	0.9	NUM
cana-1292	102	180	35457	35457	NUM
cana-1292	102	181	5.409	5.409	NUM
cana-1292	102	182	18713.22	18713.22	NUM
cana-1292	102	183	0.999	0.999	NUM
cana-1292	102	184	33352	33352	NUM
cana-1292	102	185	6.360	6.360	NUM
cana-1292	102	186	15032.02	15032.02	NUM
cana-1292	102	187	0.962	0.962	NUM
cana-1292	102	188	0.9	0.9	NUM
cana-1292	102	189	-	-	SYM
cana-1292	102	190	1.0	1.0	NUM
cana-1292	102	191	52160	52160	NUM
cana-1292	102	192	4.458	4.458	NUM
cana-1292	102	193	23295.74	23295.74	NUM
cana-1292	102	194	1.741	1.741	NUM
cana-1292	102	195	70339	70339	NUM
cana-1292	102	196	3.828	3.828	NUM
cana-1292	102	197	26930.50	26930.50	NUM
cana-1292	102	198	2.369	2.369	NUM
cana-1292	102	199	4	4	NUM
cana-1292	102	200	.	.	PUNCT
cana-1292	102	201	conclusion	conclusion	NOUN
cana-1292	102	202	in	in	ADP
cana-1292	102	203	visual	visual	ADJ
cana-1292	102	204	image	image	NOUN
cana-1292	102	205	processing	processing	NOUN
cana-1292	102	206	,	,	PUNCT
cana-1292	102	207	edge	edge	NOUN
cana-1292	102	208	detection	detection	NOUN
cana-1292	102	209	is	be	AUX
cana-1292	102	210	an	an	DET
cana-1292	102	211	important	important	ADJ
cana-1292	102	212	technique	technique	NOUN
cana-1292	102	213	used	use	VERB
cana-1292	102	214	to	to	PART
cana-1292	102	215	identify	identify	VERB
cana-1292	102	216	various	various	ADJ
cana-1292	102	217	parameters	parameter	NOUN
cana-1292	102	218	within	within	ADP
cana-1292	102	219	images	image	NOUN
cana-1292	102	220	.	.	PUNCT
cana-1292	103	1	it	it	PRON
cana-1292	103	2	shows	show	VERB
cana-1292	103	3	discontinuities	discontinuity	NOUN
cana-1292	103	4	in	in	ADP
cana-1292	103	5	color	color	NOUN
cana-1292	103	6	images	image	NOUN
cana-1292	103	7	,	,	PUNCT
cana-1292	103	8	which	which	PRON
cana-1292	103	9	occur	occur	VERB
cana-1292	103	10	due	due	ADJ
cana-1292	103	11	to	to	ADP
cana-1292	103	12	sudden	sudden	ADJ
cana-1292	103	13	changes	change	NOUN
cana-1292	103	14	in	in	ADP
cana-1292	103	15	pixel	pixel	ADJ
cana-1292	103	16	values	value	NOUN
cana-1292	103	17	,	,	PUNCT
cana-1292	103	18	color	color	NOUN
cana-1292	103	19	intensity	intensity	NOUN
cana-1292	103	20	and	and	CCONJ
cana-1292	103	21	noise	noise	NOUN
cana-1292	103	22	,	,	PUNCT
cana-1292	103	23	helping	help	VERB
cana-1292	103	24	to	to	PART
cana-1292	103	25	define	define	VERB
cana-1292	103	26	image	image	NOUN
cana-1292	103	27	boundaries	boundary	NOUN
cana-1292	103	28	.	.	PUNCT
cana-1292	104	1	this	this	DET
cana-1292	104	2	paper	paper	NOUN
cana-1292	104	3	shows	show	VERB
cana-1292	104	4	a	a	DET
cana-1292	104	5	comparative	comparative	ADJ
cana-1292	104	6	analysis	analysis	NOUN
cana-1292	104	7	of	of	ADP
cana-1292	104	8	two	two	NUM
cana-1292	104	9	algorithms	algorithm	NOUN
cana-1292	104	10	,	,	PUNCT
cana-1292	104	11	mshedgergb_t1	mshedgergb_t1	ADJ
cana-1292	104	12	and	and	CCONJ
cana-1292	104	13	mshedgergb_t2	mshedgergb_t2	NOUN
cana-1292	104	14	,	,	PUNCT
cana-1292	104	15	for	for	ADP
cana-1292	104	16	detecting	detect	VERB
cana-1292	104	17	edges	edge	NOUN
cana-1292	104	18	in	in	ADP
cana-1292	104	19	rgb	rgb	PROPN
cana-1292	104	20	images	image	NOUN
cana-1292	104	21	.	.	PUNCT
cana-1292	105	1	both	both	DET
cana-1292	105	2	algorithms	algorithm	NOUN
cana-1292	105	3	utilize	utilize	VERB
cana-1292	105	4	mamdani	mamdani	NOUN
cana-1292	105	5	fuzzy	fuzzy	ADJ
cana-1292	105	6	inference	inference	NOUN
cana-1292	105	7	systems	system	NOUN
cana-1292	105	8	and	and	CCONJ
cana-1292	105	9	fuzzy	fuzzy	ADJ
cana-1292	105	10	inference	inference	NOUN
cana-1292	105	11	rules	rule	NOUN
cana-1292	105	12	,	,	PUNCT
cana-1292	105	13	examining	examine	VERB
cana-1292	105	14	edge	edge	NOUN
cana-1292	105	15	pixels	pixel	NOUN
cana-1292	105	16	across	across	ADP
cana-1292	105	17	various	various	ADJ
cana-1292	105	18	membership	membership	NOUN
cana-1292	105	19	values	value	NOUN
cana-1292	105	20	and	and	CCONJ
cana-1292	105	21	ranges	range	NOUN
cana-1292	105	22	.	.	PUNCT
cana-1292	106	1	the	the	DET
cana-1292	106	2	results	result	NOUN
cana-1292	106	3	indicate	indicate	VERB
cana-1292	106	4	that	that	DET
cana-1292	106	5	mshedgergb_t1	mshedgergb_t1	NOUN
cana-1292	106	6	is	be	AUX
cana-1292	106	7	more	more	ADV
cana-1292	106	8	effective	effective	ADJ
cana-1292	106	9	at	at	ADP
cana-1292	106	10	detecting	detect	VERB
cana-1292	106	11	edge	edge	NOUN
cana-1292	106	12	pixels	pixel	NOUN
cana-1292	106	13	under	under	ADP
cana-1292	106	14	certain	certain	ADJ
cana-1292	106	15	membership	membership	NOUN
cana-1292	106	16	values	value	NOUN
cana-1292	106	17	,	,	PUNCT
cana-1292	106	18	while	while	SCONJ
cana-1292	106	19	mshedgergb_t2	mshedgergb_t2	NOUN
cana-1292	106	20	gives	give	VERB
cana-1292	106	21	sharp	sharp	ADJ
cana-1292	106	22	edges	edge	NOUN
cana-1292	106	23	at	at	ADP
cana-1292	106	24	some	some	DET
cana-1292	106	25	membership	membership	NOUN
cana-1292	106	26	values	value	NOUN
cana-1292	106	27	.	.	PUNCT
cana-1292	107	1	additionally	additionally	ADV
cana-1292	107	2	,	,	PUNCT
cana-1292	107	3	the	the	DET
cana-1292	107	4	comparison	comparison	NOUN
cana-1292	107	5	between	between	ADP
cana-1292	107	6	edge	edge	NOUN
cana-1292	107	7	images	image	NOUN
cana-1292	107	8	obtained	obtain	VERB
cana-1292	107	9	from	from	ADP
cana-1292	107	10	these	these	DET
cana-1292	107	11	algorithms	algorithm	NOUN
cana-1292	107	12	and	and	CCONJ
cana-1292	107	13	the	the	DET
cana-1292	107	14	prewitt	prewitt	PROPN
cana-1292	107	15	operator	operator	NOUN
cana-1292	107	16	shows	show	VERB
cana-1292	107	17	differences	difference	NOUN
cana-1292	107	18	in	in	ADP
cana-1292	107	19	psnr	psnr	NOUN
cana-1292	107	20	,	,	PUNCT
cana-1292	107	21	mse	mse	PROPN
cana-1292	107	22	and	and	CCONJ
cana-1292	107	23	l2rat	l2rat	NOUN
cana-1292	107	24	values	value	NOUN
cana-1292	107	25	,	,	PUNCT
cana-1292	107	26	highlighting	highlight	VERB
cana-1292	107	27	the	the	DET
cana-1292	107	28	experimental	experimental	ADJ
cana-1292	107	29	results	result	NOUN
cana-1292	107	30	among	among	ADP
cana-1292	107	31	the	the	DET
cana-1292	107	32	methods	method	NOUN
cana-1292	107	33	.	.	PUNCT
cana-1292	108	1	future	future	ADJ
cana-1292	108	2	research	research	NOUN
cana-1292	108	3	will	will	AUX
cana-1292	108	4	further	far	ADV
cana-1292	108	5	compare	compare	VERB
cana-1292	108	6	these	these	DET
cana-1292	108	7	techniques	technique	NOUN
cana-1292	108	8	with	with	ADP
cana-1292	108	9	other	other	ADJ
cana-1292	108	10	edge	edge	NOUN
cana-1292	108	11	detection	detection	NOUN
cana-1292	108	12	methods	method	NOUN
cana-1292	108	13	,	,	PUNCT
cana-1292	108	14	such	such	ADJ
cana-1292	108	15	as	as	ADP
cana-1292	108	16	sobel	sobel	NOUN
cana-1292	108	17	,	,	PUNCT
cana-1292	108	18	canny	canny	ADJ
cana-1292	108	19	,	,	PUNCT
cana-1292	108	20	and	and	CCONJ
cana-1292	108	21	roberts	roberts	PROPN
cana-1292	108	22	operators	operator	NOUN
cana-1292	108	23	.	.	PUNCT
cana-1292	109	1	communications	communication	NOUN
cana-1292	109	2	on	on	ADP
cana-1292	109	3	applied	apply	VERB
cana-1292	109	4	nonlinear	nonlinear	ADJ
cana-1292	109	5	analysis	analysis	NOUN
cana-1292	109	6	issn	issn	NOUN
cana-1292	109	7	:	:	PUNCT
cana-1292	109	8	1074	1074	NUM
cana-1292	109	9	-	-	PUNCT
cana-1292	109	10	133x	133x	NUM
cana-1292	109	11	vol	vol	NOUN
cana-1292	109	12	31	31	NUM
cana-1292	109	13	no	no	NOUN
cana-1292	109	14	.	.	PUNCT
cana-1292	110	1	7s	7	NOUN
cana-1292	110	2	(	(	PUNCT
cana-1292	110	3	2024	2024	NUM
cana-1292	110	4	)	)	PUNCT
cana-1292	110	5	176	176	NUM
cana-1292	110	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1292	110	7	declaration	declaration	NOUN
cana-1292	110	8	of	of	ADP
cana-1292	110	9	competing	compete	VERB
cana-1292	110	10	interest	interest	NOUN
cana-1292	110	11	:	:	PUNCT
cana-1292	110	12	the	the	DET
cana-1292	110	13	authors	author	NOUN
cana-1292	110	14	have	have	AUX
cana-1292	110	15	not	not	PART
cana-1292	110	16	revealed	reveal	VERB
cana-1292	110	17	any	any	DET
cana-1292	110	18	conflicts	conflict	NOUN
cana-1292	110	19	of	of	ADP
cana-1292	110	20	interest	interest	NOUN
cana-1292	110	21	related	relate	VERB
cana-1292	110	22	to	to	ADP
cana-1292	110	23	this	this	DET
cana-1292	110	24	work	work	NOUN
cana-1292	110	25	.	.	PUNCT
cana-1292	111	1	acknowledgements	acknowledgement	NOUN
cana-1292	111	2	:	:	PUNCT
cana-1292	111	3	the	the	DET
cana-1292	111	4	contributing	contribute	VERB
cana-1292	111	5	author	author	NOUN
cana-1292	111	6	recognizes	recognize	VERB
cana-1292	111	7	and	and	CCONJ
cana-1292	111	8	appreciates	appreciate	VERB
cana-1292	111	9	the	the	DET
cana-1292	111	10	financial	financial	ADJ
cana-1292	111	11	aid	aid	NOUN
cana-1292	111	12	from	from	ADP
cana-1292	111	13	the	the	DET
cana-1292	111	14	csir	csir	NOUN
cana-1292	111	15	,	,	PUNCT
cana-1292	111	16	under	under	ADP
cana-1292	111	17	sanction	sanction	NOUN
cana-1292	111	18	letter	letter	NOUN
cana-1292	112	1	no	no	INTJ
cana-1292	112	2	.	.	PUNCT
cana-1292	113	1	09/382(15462)/2022	09/382(15462)/2022	NOUN
cana-1292	113	2	-	-	PUNCT
cana-1292	113	3	emr	emr	PROPN
cana-1292	113	4	-	-	PUNCT
cana-1292	113	5	i.	i.	NOUN
cana-1292	113	6	references	reference	NOUN
cana-1292	113	7	[	[	X
cana-1292	113	8	1	1	NUM
cana-1292	113	9	]	]	PUNCT
cana-1292	113	10	balochian	balochian	NOUN
cana-1292	113	11	,	,	PUNCT
cana-1292	113	12	s.	s.	PROPN
cana-1292	113	13	,	,	PUNCT
cana-1292	113	14	baloochian	baloochian	PROPN
cana-1292	113	15	,	,	PUNCT
cana-1292	113	16	h.	h.	PROPN
cana-1292	113	17	edge	edge	NOUN
cana-1292	113	18	detection	detection	NOUN
cana-1292	113	19	on	on	ADP
cana-1292	113	20	noisy	noisy	ADJ
cana-1292	113	21	images	image	NOUN
cana-1292	113	22	using	use	VERB
cana-1292	113	23	prewitt	prewitt	PROPN
cana-1292	113	24	operator	operator	NOUN
cana-1292	113	25	and	and	CCONJ
cana-1292	113	26	fractional	fractional	ADJ
cana-1292	113	27	order	order	NOUN
cana-1292	113	28	differentiation	differentiation	NOUN
cana-1292	113	29	.	.	PUNCT
cana-1292	114	1	multimed	multime	VERB
cana-1292	114	2	tools	tool	NOUN
cana-1292	114	3	appl	appl	PROPN
cana-1292	114	4	81	81	NUM
cana-1292	114	5	,	,	PUNCT
cana-1292	114	6	9759–9770	9759–9770	NUM
cana-1292	114	7	(	(	PUNCT
cana-1292	114	8	2022	2022	NUM
cana-1292	114	9	)	)	PUNCT
cana-1292	114	10	.	.	PUNCT
cana-1292	115	1	https://doi.org/10.1007/s11042-022-12011-1	https://doi.org/10.1007/s11042-022-12011-1	NUM
cana-1292	115	2	.	.	PUNCT
cana-1292	116	1	[	[	X
cana-1292	116	2	2	2	NUM
cana-1292	116	3	]	]	X
cana-1292	116	4	gonzalez	gonzalez	PROPN
cana-1292	116	5	,	,	PUNCT
cana-1292	116	6	c.	c.	PROPN
cana-1292	116	7	i.	i.	PROPN
cana-1292	116	8	,	,	PUNCT
cana-1292	116	9	melin	melin	PROPN
cana-1292	116	10	,	,	PUNCT
cana-1292	116	11	p.	p.	PROPN
cana-1292	116	12	,	,	PUNCT
cana-1292	116	13	&	&	CCONJ
cana-1292	116	14	castillo	castillo	PROPN
cana-1292	116	15	,	,	PUNCT
cana-1292	116	16	o.	o.	NOUN
cana-1292	116	17	(	(	PUNCT
cana-1292	116	18	2017	2017	NUM
cana-1292	116	19	)	)	PUNCT
cana-1292	116	20	.	.	PUNCT
cana-1292	117	1	edge	edge	NOUN
cana-1292	117	2	detection	detection	NOUN
cana-1292	117	3	method	method	NOUN
cana-1292	117	4	based	base	VERB
cana-1292	117	5	on	on	ADP
cana-1292	117	6	general	general	ADJ
cana-1292	117	7	type-2	type-2	NUM
cana-1292	117	8	fuzzy	fuzzy	ADJ
cana-1292	117	9	logic	logic	NOUN
cana-1292	117	10	applied	apply	VERB
cana-1292	117	11	to	to	ADP
cana-1292	117	12	color	color	NOUN
cana-1292	117	13	images	image	NOUN
cana-1292	117	14	.	.	PUNCT
cana-1292	118	1	information	information	NOUN
cana-1292	118	2	,	,	PUNCT
cana-1292	118	3	8(3	8(3	NUM
cana-1292	118	4	)	)	PUNCT
cana-1292	118	5	,	,	PUNCT
cana-1292	118	6	104	104	NUM
cana-1292	118	7	.	.	PUNCT
cana-1292	119	1	[	[	X
cana-1292	119	2	3	3	X
cana-1292	119	3	]	]	PUNCT
cana-1292	119	4	p.	p.	NOUN
cana-1292	119	5	melin	melin	PROPN
cana-1292	119	6	,	,	PUNCT
cana-1292	119	7	o.	o.	PROPN
cana-1292	119	8	mendoza	mendoza	PROPN
cana-1292	119	9	,	,	PUNCT
cana-1292	119	10	and	and	CCONJ
cana-1292	119	11	o.	o.	PROPN
cana-1292	119	12	castillo	castillo	PROPN
cana-1292	119	13	,	,	PUNCT
cana-1292	119	14	“	"	PUNCT
cana-1292	119	15	an	an	DET
cana-1292	119	16	improved	improved	ADJ
cana-1292	119	17	method	method	NOUN
cana-1292	119	18	for	for	ADP
cana-1292	119	19	edge	edge	NOUN
cana-1292	119	20	detection	detection	NOUN
cana-1292	119	21	based	base	VERB
cana-1292	119	22	on	on	ADP
cana-1292	119	23	interval	interval	NOUN
cana-1292	119	24	type-2	type-2	NUM
cana-1292	119	25	fuzzy	fuzzy	ADJ
cana-1292	119	26	logic	logic	NOUN
cana-1292	119	27	,	,	PUNCT
cana-1292	119	28	”	"	PUNCT
cana-1292	119	29	expert	expert	NOUN
cana-1292	119	30	syst	syst	PROPN
cana-1292	119	31	appl	appl	PROPN
cana-1292	119	32	,	,	PUNCT
cana-1292	119	33	vol	vol	NOUN
cana-1292	119	34	.	.	PROPN
cana-1292	120	1	37	37	NUM
cana-1292	120	2	,	,	PUNCT
cana-1292	120	3	no	no	INTJ
cana-1292	120	4	.	.	NOUN
cana-1292	120	5	12	12	NUM
cana-1292	120	6	,	,	PUNCT
cana-1292	120	7	pp	pp	ADJ
cana-1292	120	8	.	.	PUNCT
cana-1292	121	1	8527–8535	8527–8535	NUM
cana-1292	121	2	,	,	PUNCT
cana-1292	121	3	2010	2010	NUM
cana-1292	121	4	,	,	PUNCT
cana-1292	121	5	doi	doi	NOUN
cana-1292	121	6	:	:	PUNCT
cana-1292	121	7	10.1016	10.1016	NUM
cana-1292	121	8	/	/	SYM
cana-1292	121	9	j.eswa.2010.05.023	j.eswa.2010.05.023	PROPN
cana-1292	121	10	.	.	PUNCT
cana-1292	122	1	[	[	X
cana-1292	122	2	4	4	NUM
cana-1292	122	3	]	]	X
cana-1292	122	4	selvakumar	selvakumar	PROPN
cana-1292	122	5	,	,	PUNCT
cana-1292	122	6	p.	p.	NOUN
cana-1292	122	7	,	,	PUNCT
cana-1292	122	8	&	&	CCONJ
cana-1292	122	9	hariganesh	hariganesh	ADJ
cana-1292	122	10	,	,	PUNCT
cana-1292	122	11	s.	s.	PROPN
cana-1292	122	12	(	(	PUNCT
cana-1292	122	13	2016	2016	NUM
cana-1292	122	14	)	)	PUNCT
cana-1292	122	15	.	.	PUNCT
cana-1292	123	1	the	the	DET
cana-1292	123	2	performance	performance	NOUN
cana-1292	123	3	analysis	analysis	NOUN
cana-1292	123	4	of	of	ADP
cana-1292	123	5	edge	edge	NOUN
cana-1292	123	6	detection	detection	NOUN
cana-1292	123	7	algorithms	algorithm	NOUN
cana-1292	123	8	for	for	ADP
cana-1292	123	9	image	image	NOUN
cana-1292	123	10	processing	processing	NOUN
cana-1292	123	11	.	.	PUNCT
cana-1292	124	1	2016	2016	NUM
cana-1292	124	2	international	international	ADJ
cana-1292	124	3	conference	conference	NOUN
cana-1292	124	4	on	on	ADP
cana-1292	124	5	computing	computing	NOUN
cana-1292	124	6	technologies	technology	NOUN
cana-1292	124	7	and	and	CCONJ
cana-1292	124	8	intelligent	intelligent	ADJ
cana-1292	124	9	data	datum	NOUN
cana-1292	124	10	engineering	engineering	NOUN
cana-1292	124	11	(	(	PUNCT
cana-1292	124	12	icctide’16	icctide’16	PROPN
cana-1292	124	13	)	)	PUNCT
cana-1292	124	14	.	.	PUNCT
cana-1292	125	1	doi:10.1109	doi:10.1109	VERB
cana-1292	125	2	/	/	SYM
cana-1292	126	1	icctide.2016.7725371	icctide.2016.7725371	PROPN
cana-1292	127	1	[	[	X
cana-1292	127	2	5	5	NUM
cana-1292	127	3	]	]	X
cana-1292	127	4	yau	yau	PROPN
cana-1292	127	5	-	-	PUNCT
cana-1292	127	6	hwang	hwang	PROPN
cana-1292	127	7	kuo	kuo	PROPN
cana-1292	127	8	,	,	PUNCT
cana-1292	127	9	chang	chang	PROPN
cana-1292	127	10	-	-	PUNCT
cana-1292	127	11	shing	shing	PROPN
cana-1292	127	12	lee	lee	PROPN
cana-1292	127	13	,	,	PUNCT
cana-1292	127	14	&	&	CCONJ
cana-1292	127	15	chao	chao	PROPN
cana-1292	127	16	-	-	PUNCT
cana-1292	127	17	chin	chin	PROPN
cana-1292	127	18	liu	liu	PROPN
cana-1292	127	19	.	.	PUNCT
cana-1292	128	1	(	(	PUNCT
cana-1292	128	2	n.d	n.d	PROPN
cana-1292	128	3	.	.	PROPN
cana-1292	128	4	)	)	PUNCT
cana-1292	128	5	.	.	PUNCT
cana-1292	129	1	a	a	DET
cana-1292	129	2	new	new	ADJ
cana-1292	129	3	fuzzy	fuzzy	ADJ
cana-1292	129	4	edge	edge	NOUN
cana-1292	129	5	detection	detection	NOUN
cana-1292	129	6	method	method	NOUN
cana-1292	129	7	for	for	ADP
cana-1292	129	8	image	image	NOUN
cana-1292	129	9	enhancement	enhancement	NOUN
cana-1292	129	10	.	.	PUNCT
cana-1292	130	1	proceedings	proceeding	NOUN
cana-1292	130	2	of	of	ADP
cana-1292	130	3	6th	6th	ADJ
cana-1292	130	4	international	international	ADJ
cana-1292	130	5	fuzzy	fuzzy	ADJ
cana-1292	130	6	systems	system	NOUN
cana-1292	130	7	conference	conference	NOUN
cana-1292	130	8	.	.	PUNCT
cana-1292	131	1	doi:10.1109	doi:10.1109	VERB
cana-1292	131	2	/	/	SYM
cana-1292	131	3	fuzzy.1997.622858	fuzzy.1997.622858	NOUN
cana-1292	131	4	[	[	X
cana-1292	131	5	6	6	NUM
cana-1292	131	6	]	]	X
cana-1292	131	7	gupta	gupta	PROPN
cana-1292	131	8	,	,	PUNCT
cana-1292	131	9	s.	s.	PROPN
cana-1292	131	10	,	,	PUNCT
cana-1292	131	11	singh	singh	PROPN
cana-1292	131	12	,	,	PUNCT
cana-1292	131	13	h.	h.	PROPN
cana-1292	131	14	,	,	PUNCT
cana-1292	131	15	&	&	CCONJ
cana-1292	131	16	singh	singh	PROPN
cana-1292	131	17	,	,	PUNCT
cana-1292	131	18	y.	y.	PROPN
cana-1292	131	19	j.	j.	PROPN
cana-1292	131	20	(	(	PUNCT
cana-1292	131	21	2023	2023	NUM
cana-1292	131	22	,	,	PUNCT
cana-1292	131	23	february	february	PROPN
cana-1292	131	24	)	)	PUNCT
cana-1292	131	25	.	.	PUNCT
cana-1292	132	1	comprehensive	comprehensive	ADJ
cana-1292	132	2	study	study	NOUN
cana-1292	132	3	on	on	ADP
cana-1292	132	4	edge	edge	NOUN
cana-1292	132	5	detection	detection	NOUN
cana-1292	132	6	.	.	PUNCT
cana-1292	133	1	in	in	ADP
cana-1292	133	2	international	international	ADJ
cana-1292	133	3	conference	conference	NOUN
cana-1292	133	4	on	on	ADP
cana-1292	133	5	communication	communication	NOUN
cana-1292	133	6	,	,	PUNCT
cana-1292	133	7	electronics	electronic	NOUN
cana-1292	133	8	and	and	CCONJ
cana-1292	133	9	digital	digital	ADJ
cana-1292	133	10	technology	technology	NOUN
cana-1292	133	11	(	(	PUNCT
cana-1292	133	12	pp	pp	ADJ
cana-1292	133	13	.	.	PUNCT
cana-1292	134	1	445	445	NUM
cana-1292	134	2	-	-	NUM
cana-1292	134	3	462	462	NUM
cana-1292	134	4	)	)	PUNCT
cana-1292	134	5	.	.	PUNCT
cana-1292	135	1	singapore	singapore	PROPN
cana-1292	135	2	:	:	PUNCT
cana-1292	135	3	springer	springer	NOUN
cana-1292	135	4	nature	nature	PROPN
cana-1292	135	5	singapore	singapore	PROPN
cana-1292	135	6	.	.	PUNCT
cana-1292	136	1	[	[	X
cana-1292	136	2	7	7	X
cana-1292	136	3	]	]	PUNCT
cana-1292	136	4	ranjan	ranjan	PROPN
cana-1292	136	5	,	,	PUNCT
cana-1292	136	6	r.	r.	PROPN
cana-1292	136	7	,	,	PUNCT
cana-1292	136	8	&	&	CCONJ
cana-1292	136	9	avasthi	avasthi	PROPN
cana-1292	136	10	,	,	PUNCT
cana-1292	136	11	d.	d.	PROPN
cana-1292	136	12	v.	v.	PROPN
cana-1292	136	13	(	(	PUNCT
cana-1292	136	14	2022	2022	NUM
cana-1292	136	15	)	)	PUNCT
cana-1292	136	16	.	.	PUNCT
cana-1292	137	1	enhanced	enhance	VERB
cana-1292	137	2	edge	edge	NOUN
cana-1292	137	3	detection	detection	NOUN
cana-1292	137	4	technique	technique	NOUN
cana-1292	137	5	in	in	ADP
cana-1292	137	6	digital	digital	ADJ
cana-1292	137	7	images	image	NOUN
cana-1292	137	8	using	use	VERB
cana-1292	137	9	optimised	optimise	VERB
cana-1292	137	10	fuzzy	fuzzy	ADJ
cana-1292	137	11	operation	operation	NOUN
cana-1292	137	12	.	.	PUNCT
cana-1292	138	1	webology	webology	NOUN
cana-1292	138	2	,	,	PUNCT
cana-1292	138	3	19(1	19(1	NUM
cana-1292	138	4	)	)	PUNCT
cana-1292	138	5	,	,	PUNCT
cana-1292	138	6	5402	5402	NUM
cana-1292	138	7	-	-	SYM
cana-1292	138	8	5416	5416	NUM
cana-1292	138	9	.	.	PUNCT
cana-1292	139	1	[	[	X
cana-1292	139	2	8	8	NUM
cana-1292	139	3	]	]	X
cana-1292	139	4	song	song	NOUN
cana-1292	139	5	,	,	PUNCT
cana-1292	139	6	j.	j.	PROPN
cana-1292	139	7	,	,	PUNCT
cana-1292	139	8	wang	wang	PROPN
cana-1292	139	9	,	,	PUNCT
cana-1292	139	10	j.	j.	PROPN
cana-1292	139	11	,	,	PUNCT
cana-1292	139	12	&	&	CCONJ
cana-1292	139	13	li	li	PROPN
cana-1292	139	14	,	,	PUNCT
cana-1292	139	15	s.	s.	PROPN
cana-1292	139	16	(	(	PUNCT
cana-1292	139	17	2019	2019	NUM
cana-1292	139	18	)	)	PUNCT
cana-1292	139	19	.	.	PUNCT
cana-1292	140	1	dynamic	dynamic	ADJ
cana-1292	140	2	fuzzy	fuzzy	ADJ
cana-1292	140	3	inference	inference	NOUN
cana-1292	140	4	system	system	NOUN
cana-1292	140	5	for	for	ADP
cana-1292	140	6	edge	edge	NOUN
cana-1292	140	7	detection	detection	NOUN
cana-1292	140	8	of	of	ADP
cana-1292	140	9	stone	stone	NOUN
cana-1292	140	10	inscriptions	inscription	NOUN
cana-1292	140	11	.	.	PUNCT
cana-1292	141	1	in	in	ADP
cana-1292	141	2	proceedings	proceeding	NOUN
cana-1292	141	3	of	of	ADP
cana-1292	141	4	the	the	DET
cana-1292	141	5	3rd	3rd	ADJ
cana-1292	141	6	international	international	ADJ
cana-1292	141	7	conference	conference	NOUN
cana-1292	141	8	on	on	ADP
cana-1292	141	9	digital	digital	ADJ
cana-1292	141	10	signal	signal	NOUN
cana-1292	141	11	processing	processing	NOUN
cana-1292	141	12	,	,	PUNCT
cana-1292	141	13	91	91	NUM
cana-1292	141	14	-	-	SYM
cana-1292	141	15	94	94	NUM
cana-1292	141	16	.	.	PUNCT
cana-1292	142	1	[	[	X
cana-1292	142	2	9	9	NUM
cana-1292	142	3	]	]	SYM
cana-1292	142	4	zhang	zhang	PROPN
cana-1292	142	5	,	,	PUNCT
cana-1292	142	6	w.	w.	PROPN
cana-1292	142	7	,	,	PUNCT
cana-1292	142	8	zhao	zhao	PROPN
cana-1292	142	9	,	,	PUNCT
cana-1292	142	10	y.	y.	PROPN
cana-1292	142	11	,	,	PUNCT
cana-1292	142	12	breckon	breckon	PROPN
cana-1292	142	13	,	,	PUNCT
cana-1292	142	14	t.p	t.p	PROPN
cana-1292	142	15	.	.	PROPN
cana-1292	142	16	,	,	PUNCT
cana-1292	142	17	&	&	CCONJ
cana-1292	142	18	chen	chen	PROPN
cana-1292	142	19	,	,	PUNCT
cana-1292	142	20	l.	l.	PROPN
cana-1292	142	21	(	(	PUNCT
cana-1292	142	22	2017	2017	NUM
cana-1292	142	23	)	)	PUNCT
cana-1292	142	24	.	.	PUNCT
cana-1292	143	1	noise	noise	NOUN
cana-1292	143	2	robust	robust	ADJ
cana-1292	143	3	image	image	NOUN
cana-1292	143	4	edge	edge	NOUN
cana-1292	143	5	detection	detection	NOUN
cana-1292	143	6	based	base	VERB
cana-1292	143	7	upon	upon	SCONJ
cana-1292	143	8	the	the	DET
cana-1292	143	9	automatic	automatic	ADJ
cana-1292	143	10	anisotropic	anisotropic	NOUN
cana-1292	143	11	gaussian	gaussian	ADJ
cana-1292	143	12	kernels	kernel	NOUN
cana-1292	143	13	.	.	PUNCT
cana-1292	144	1	pattern	pattern	NOUN
cana-1292	144	2	recognition	recognition	NOUN
cana-1292	144	3	,	,	PUNCT
cana-1292	144	4	63	63	NUM
cana-1292	144	5	,	,	PUNCT
cana-1292	144	6	193	193	NUM
cana-1292	144	7	-	-	SYM
cana-1292	144	8	205	205	NUM
cana-1292	144	9	.	.	PUNCT
cana-1292	145	1	[	[	X
cana-1292	145	2	10	10	NUM
cana-1292	145	3	]	]	X
cana-1292	145	4	abdullah	abdullah	PROPN
cana-1292	145	5	,	,	PUNCT
cana-1292	145	6	a.	a.	PROPN
cana-1292	145	7	s.	s.	PROPN
cana-1292	145	8	,	,	PUNCT
cana-1292	145	9	ali	ali	PROPN
cana-1292	145	10	,	,	PUNCT
cana-1292	145	11	m.	m.	PROPN
cana-1292	145	12	h.	h.	PROPN
cana-1292	145	13	and	and	CCONJ
cana-1292	145	14	waleed	waleed	PROPN
cana-1292	145	15	,	,	PUNCT
cana-1292	145	16	m.	m.	NOUN
cana-1292	145	17	(	(	PUNCT
cana-1292	145	18	2022	2022	NUM
cana-1292	145	19	)	)	PUNCT
cana-1292	145	20	.	.	PUNCT
cana-1292	146	1	distributed	distribute	VERB
cana-1292	146	2	prewitt	prewitt	PROPN
cana-1292	146	3	edge	edge	NOUN
cana-1292	146	4	detection	detection	NOUN
cana-1292	146	5	system	system	NOUN
cana-1292	146	6	using	use	VERB
cana-1292	146	7	lightness	lightness	NOUN
cana-1292	146	8	of	of	ADP
cana-1292	146	9	ycbcr	ycbcr	NOUN
cana-1292	146	10	color	color	NOUN
cana-1292	146	11	space	space	NOUN
cana-1292	146	12	.	.	PUNCT
cana-1292	147	1	webology	webology	NOUN
cana-1292	147	2	,	,	PUNCT
cana-1292	147	3	19(1	19(1	NUM
cana-1292	147	4	)	)	PUNCT
cana-1292	147	5	,	,	PUNCT
cana-1292	147	6	1460	1460	NUM
cana-1292	147	7	-	-	SYM
cana-1292	147	8	1473	1473	NUM
cana-1292	147	9	.	.	PUNCT
cana-1292	148	1	[	[	X
cana-1292	148	2	11	11	NUM
cana-1292	148	3	]	]	SYM
cana-1292	148	4	yang	yang	PROPN
cana-1292	148	5	,	,	PUNCT
cana-1292	148	6	l.	l.	PROPN
cana-1292	148	7	,	,	PUNCT
cana-1292	148	8	wu	wu	PROPN
cana-1292	148	9	,	,	PUNCT
cana-1292	148	10	x.	x.	PROPN
cana-1292	148	11	,	,	PUNCT
cana-1292	148	12	zhao	zhao	PROPN
cana-1292	148	13	,	,	PUNCT
cana-1292	148	14	d.	d.	PROPN
cana-1292	148	15	,	,	PUNCT
cana-1292	148	16	li	li	PROPN
cana-1292	148	17	,	,	PUNCT
cana-1292	148	18	h.	h.	PROPN
cana-1292	148	19	and	and	CCONJ
cana-1292	148	20	zhai	zhai	PROPN
cana-1292	148	21	,	,	PUNCT
cana-1292	148	22	j.	j.	PROPN
cana-1292	148	23	(	(	PUNCT
cana-1292	148	24	2011	2011	NUM
cana-1292	148	25	,	,	PUNCT
cana-1292	148	26	october	october	PROPN
cana-1292	148	27	)	)	PUNCT
cana-1292	148	28	.	.	PUNCT
cana-1292	149	1	an	an	DET
cana-1292	149	2	improved	improved	ADJ
cana-1292	149	3	prewitt	prewitt	NOUN
cana-1292	149	4	algorithm	algorithm	NOUN
cana-1292	149	5	for	for	ADP
cana-1292	149	6	edge	edge	NOUN
cana-1292	149	7	detection	detection	NOUN
cana-1292	149	8	based	base	VERB
cana-1292	149	9	on	on	ADP
cana-1292	149	10	noised	noised	ADJ
cana-1292	149	11	image	image	NOUN
cana-1292	149	12	.	.	PUNCT
cana-1292	150	1	in	in	ADP
cana-1292	150	2	2011	2011	NUM
cana-1292	150	3	4th	4th	ADJ
cana-1292	150	4	international	international	ADJ
cana-1292	150	5	congress	congress	PROPN
cana-1292	150	6	on	on	ADP
cana-1292	150	7	image	image	NOUN
cana-1292	150	8	and	and	CCONJ
cana-1292	150	9	signal	signal	NOUN
cana-1292	150	10	processing	processing	NOUN
cana-1292	150	11	(	(	PUNCT
cana-1292	150	12	vol	vol	NOUN
cana-1292	150	13	.	.	PROPN
cana-1292	150	14	3	3	NUM
cana-1292	150	15	,	,	PUNCT
cana-1292	150	16	pp	pp	ADJ
cana-1292	150	17	.	.	PUNCT
cana-1292	150	18	1197	1197	NUM
cana-1292	150	19	-	-	SYM
cana-1292	150	20	1200	1200	NUM
cana-1292	150	21	)	)	PUNCT
cana-1292	150	22	.	.	PUNCT
cana-1292	151	1	ieee	ieee	NOUN
cana-1292	151	2	.	.	PUNCT
cana-1292	152	1	[	[	X
cana-1292	152	2	12	12	NUM
cana-1292	152	3	]	]	X
cana-1292	152	4	nagasankar	nagasankar	NOUN
cana-1292	152	5	,	,	PUNCT
cana-1292	152	6	t.	t.	PROPN
cana-1292	152	7	and	and	CCONJ
cana-1292	152	8	ankaryarkanni	ankaryarkanni	PROPN
cana-1292	152	9	,	,	PUNCT
cana-1292	152	10	b.	b.	PROPN
cana-1292	152	11	(	(	PUNCT
cana-1292	152	12	2016	2016	NUM
cana-1292	152	13	)	)	PUNCT
cana-1292	152	14	.	.	PUNCT
cana-1292	153	1	performance	performance	NOUN
cana-1292	153	2	analysis	analysis	NOUN
cana-1292	153	3	of	of	ADP
cana-1292	153	4	edge	edge	NOUN
cana-1292	153	5	detection	detection	NOUN
cana-1292	153	6	algorithms	algorithm	NOUN
cana-1292	153	7	on	on	ADP
cana-1292	153	8	various	various	ADJ
cana-1292	153	9	image	image	NOUN
cana-1292	153	10	types	type	NOUN
cana-1292	153	11	.	.	PUNCT
cana-1292	154	1	indian	indian	ADJ
cana-1292	154	2	journal	journal	PROPN
cana-1292	154	3	of	of	ADP
cana-1292	154	4	science	science	NOUN
cana-1292	154	5	and	and	CCONJ
cana-1292	154	6	technology	technology	NOUN
cana-1292	154	7	,	,	PUNCT
cana-1292	154	8	9(21	9(21	NUM
cana-1292	154	9	)	)	PUNCT
cana-1292	154	10	,	,	PUNCT
cana-1292	154	11	1	1	NUM
cana-1292	154	12	-	-	SYM
cana-1292	154	13	7	7	NUM
cana-1292	154	14	.	.	NUM
cana-1292	154	15	https://doi.org/10.1007/s11042-022-12011-1	https://doi.org/10.1007/s11042-022-12011-1	NUM