id	sid	tid	token	lemma	pos
ajst-21764	1	1	academic	academic	ADJ
ajst-21764	1	2	journal	journal	NOUN
ajst-21764	1	3	of	of	ADP
ajst-21764	1	4	science	science	NOUN
ajst-21764	1	5	and	and	CCONJ
ajst-21764	1	6	technology	technology	NOUN
ajst-21764	1	7	issn	issn	NOUN
ajst-21764	1	8	:	:	PUNCT
ajst-21764	1	9	2771	2771	NUM
ajst-21764	1	10	-	-	SYM
ajst-21764	1	11	3032	3032	NUM
ajst-21764	1	12	|	|	NOUN
ajst-21764	1	13	vol	vol	NOUN
ajst-21764	1	14	.	.	PROPN
ajst-21764	2	1	11	11	NUM
ajst-21764	2	2	,	,	PUNCT
ajst-21764	2	3	no	no	INTJ
ajst-21764	2	4	.	.	NOUN
ajst-21764	2	5	1	1	NUM
ajst-21764	2	6	,	,	PUNCT
ajst-21764	2	7	2024	2024	NUM
ajst-21764	2	8	88	88	NUM
ajst-21764	2	9	texture	texture	ADJ
ajst-21764	2	10	classification	classification	NOUN
ajst-21764	2	11	method	method	NOUN
ajst-21764	2	12	based	base	VERB
ajst-21764	2	13	on	on	ADP
ajst-21764	2	14	local	local	ADJ
ajst-21764	2	15	enhancement	enhancement	NOUN
ajst-21764	2	16	and	and	CCONJ
ajst-21764	2	17	non‐local	non‐local	ADJ
ajst-21764	2	18	median	median	ADJ
ajst-21764	2	19	patterns	pattern	NOUN
ajst-21764	2	20	yaxin	yaxin	PROPN
ajst-21764	2	21	lian	lian	PROPN
ajst-21764	2	22	,	,	PUNCT
ajst-21764	2	23	yongsheng	yongsheng	PROPN
ajst-21764	2	24	dong	dong	PROPN
ajst-21764	2	25	school	school	PROPN
ajst-21764	2	26	of	of	ADP
ajst-21764	2	27	information	information	NOUN
ajst-21764	2	28	engineering	engineering	PROPN
ajst-21764	2	29	,	,	PUNCT
ajst-21764	2	30	henan	henan	PROPN
ajst-21764	2	31	university	university	PROPN
ajst-21764	2	32	of	of	ADP
ajst-21764	2	33	science	science	NOUN
ajst-21764	2	34	and	and	CCONJ
ajst-21764	2	35	technology	technology	NOUN
ajst-21764	2	36	,	,	PUNCT
ajst-21764	2	37	luoyang	luoyang	PROPN
ajst-21764	2	38	471023	471023	NUM
ajst-21764	2	39	,	,	PUNCT
ajst-21764	2	40	china	china	PROPN
ajst-21764	2	41	abstract	abstract	NOUN
ajst-21764	2	42	:	:	PUNCT
ajst-21764	2	43	local	local	ADJ
ajst-21764	2	44	binary	binary	NOUN
ajst-21764	2	45	pattern	pattern	NOUN
ajst-21764	2	46	(	(	PUNCT
ajst-21764	2	47	lbp	lbp	NOUN
ajst-21764	2	48	)	)	PUNCT
ajst-21764	2	49	serves	serve	VERB
ajst-21764	2	50	as	as	ADP
ajst-21764	2	51	a	a	DET
ajst-21764	2	52	highly	highly	ADV
ajst-21764	2	53	powerful	powerful	ADJ
ajst-21764	2	54	method	method	NOUN
ajst-21764	2	55	for	for	ADP
ajst-21764	2	56	texture	texture	ADJ
ajst-21764	2	57	classification	classification	NOUN
ajst-21764	2	58	.	.	PUNCT
ajst-21764	3	1	lbp	lbp	PROPN
ajst-21764	3	2	and	and	CCONJ
ajst-21764	3	3	its	its	PRON
ajst-21764	3	4	variant	variant	ADJ
ajst-21764	3	5	methods	method	NOUN
ajst-21764	3	6	are	be	AUX
ajst-21764	3	7	extensively	extensively	ADV
ajst-21764	3	8	applied	apply	VERB
ajst-21764	3	9	across	across	ADP
ajst-21764	3	10	various	various	ADJ
ajst-21764	3	11	domains	domain	NOUN
ajst-21764	3	12	of	of	ADP
ajst-21764	3	13	image	image	NOUN
ajst-21764	3	14	processing.in	processing.in	X
ajst-21764	3	15	increasingly	increasingly	ADV
ajst-21764	3	16	complex	complex	ADJ
ajst-21764	3	17	imaging	imaging	NOUN
ajst-21764	3	18	environments	environment	NOUN
ajst-21764	3	19	,	,	PUNCT
ajst-21764	3	20	lbp	lbp	PROPN
ajst-21764	3	21	faces	face	VERB
ajst-21764	3	22	two	two	NUM
ajst-21764	3	23	issues	issue	NOUN
ajst-21764	3	24	:	:	PUNCT
ajst-21764	3	25	(	(	PUNCT
ajst-21764	3	26	1	1	X
ajst-21764	3	27	)	)	PUNCT
ajst-21764	3	28	loss	loss	NOUN
ajst-21764	3	29	of	of	ADP
ajst-21764	3	30	detail	detail	NOUN
ajst-21764	3	31	information	information	NOUN
ajst-21764	3	32	during	during	ADP
ajst-21764	3	33	feature	feature	NOUN
ajst-21764	3	34	extraction	extraction	NOUN
ajst-21764	3	35	.	.	PUNCT
ajst-21764	4	1	(	(	PUNCT
ajst-21764	4	2	2	2	X
ajst-21764	4	3	)	)	PUNCT
ajst-21764	4	4	sensitivity	sensitivity	NOUN
ajst-21764	4	5	to	to	PART
ajst-21764	4	6	noise	noise	VERB
ajst-21764	4	7	.	.	PUNCT
ajst-21764	5	1	to	to	PART
ajst-21764	5	2	mitigate	mitigate	VERB
ajst-21764	5	3	these	these	DET
ajst-21764	5	4	issues	issue	NOUN
ajst-21764	5	5	,	,	PUNCT
ajst-21764	5	6	this	this	DET
ajst-21764	5	7	paper	paper	NOUN
ajst-21764	5	8	proposes	propose	VERB
ajst-21764	5	9	a	a	DET
ajst-21764	5	10	method	method	NOUN
ajst-21764	5	11	called	call	VERB
ajst-21764	5	12	local	local	ADJ
ajst-21764	5	13	enhancement	enhancement	NOUN
ajst-21764	5	14	and	and	CCONJ
ajst-21764	5	15	non	non	ADJ
ajst-21764	5	16	-	-	ADJ
ajst-21764	5	17	local	local	ADJ
ajst-21764	5	18	median	median	ADJ
ajst-21764	5	19	pattern	pattern	NOUN
ajst-21764	5	20	(	(	PUNCT
ajst-21764	5	21	lenmp	lenmp	PROPN
ajst-21764	5	22	)	)	PUNCT
ajst-21764	5	23	.	.	PUNCT
ajst-21764	6	1	it	it	PRON
ajst-21764	6	2	consists	consist	VERB
ajst-21764	6	3	of	of	ADP
ajst-21764	6	4	two	two	NUM
ajst-21764	6	5	operators	operator	NOUN
ajst-21764	6	6	:	:	PUNCT
ajst-21764	6	7	local	local	ADJ
ajst-21764	6	8	adaptive	adaptive	ADJ
ajst-21764	6	9	contrast	contrast	NOUN
ajst-21764	6	10	enhancement	enhancement	NOUN
ajst-21764	6	11	pattern	pattern	NOUN
ajst-21764	6	12	(	(	PUNCT
ajst-21764	6	13	lep	lep	PROPN
ajst-21764	6	14	)	)	PUNCT
ajst-21764	6	15	and	and	CCONJ
ajst-21764	6	16	non	non	ADJ
ajst-21764	6	17	-	-	ADJ
ajst-21764	6	18	local	local	ADJ
ajst-21764	6	19	median	median	ADJ
ajst-21764	6	20	binary	binary	NOUN
ajst-21764	6	21	pattern	pattern	NOUN
ajst-21764	6	22	(	(	PUNCT
ajst-21764	6	23	nmbp	nmbp	NOUN
ajst-21764	6	24	)	)	PUNCT
ajst-21764	6	25	.	.	PUNCT
ajst-21764	7	1	the	the	DET
ajst-21764	7	2	lep	lep	PROPN
ajst-21764	7	3	operator	operator	NOUN
ajst-21764	7	4	captures	capture	VERB
ajst-21764	7	5	the	the	DET
ajst-21764	7	6	sign	sign	NOUN
ajst-21764	7	7	and	and	CCONJ
ajst-21764	7	8	magnitude	magnitude	NOUN
ajst-21764	7	9	details	detail	NOUN
ajst-21764	7	10	of	of	ADP
ajst-21764	7	11	local	local	ADJ
ajst-21764	7	12	image	image	NOUN
ajst-21764	7	13	characteristics	characteristic	NOUN
ajst-21764	7	14	,	,	PUNCT
ajst-21764	7	15	while	while	SCONJ
ajst-21764	7	16	the	the	DET
ajst-21764	7	17	nmbp	nmbp	NOUN
ajst-21764	7	18	operator	operator	NOUN
ajst-21764	7	19	captures	capture	VERB
ajst-21764	7	20	the	the	DET
ajst-21764	7	21	global	global	ADJ
ajst-21764	7	22	information	information	NOUN
ajst-21764	7	23	of	of	ADP
ajst-21764	7	24	image	image	NOUN
ajst-21764	7	25	features	feature	NOUN
ajst-21764	7	26	.	.	PUNCT
ajst-21764	8	1	first	first	ADV
ajst-21764	8	2	,	,	PUNCT
ajst-21764	8	3	the	the	DET
ajst-21764	8	4	image	image	NOUN
ajst-21764	8	5	is	be	AUX
ajst-21764	8	6	processed	process	VERB
ajst-21764	8	7	using	use	VERB
ajst-21764	8	8	the	the	DET
ajst-21764	8	9	threshold	threshold	NOUN
ajst-21764	8	10	ace	ace	NOUN
ajst-21764	8	11	(	(	PUNCT
ajst-21764	8	12	thace	thace	NOUN
ajst-21764	8	13	)	)	PUNCT
ajst-21764	8	14	algorithm	algorithm	NOUN
ajst-21764	8	15	to	to	PART
ajst-21764	8	16	enhance	enhance	VERB
ajst-21764	8	17	the	the	DET
ajst-21764	8	18	contrast	contrast	NOUN
ajst-21764	8	19	of	of	ADP
ajst-21764	8	20	high	high	ADJ
ajst-21764	8	21	-	-	PUNCT
ajst-21764	8	22	frequency	frequency	NOUN
ajst-21764	8	23	information	information	NOUN
ajst-21764	8	24	in	in	ADP
ajst-21764	8	25	the	the	DET
ajst-21764	8	26	image	image	NOUN
ajst-21764	8	27	,	,	PUNCT
ajst-21764	8	28	extracting	extract	VERB
ajst-21764	8	29	image	image	NOUN
ajst-21764	8	30	contour	contour	NOUN
ajst-21764	8	31	edge	edge	NOUN
ajst-21764	8	32	information	information	NOUN
ajst-21764	8	33	.	.	PUNCT
ajst-21764	9	1	then	then	ADV
ajst-21764	9	2	,	,	PUNCT
ajst-21764	9	3	median	median	ADJ
ajst-21764	9	4	extraction	extraction	NOUN
ajst-21764	9	5	is	be	AUX
ajst-21764	9	6	performed	perform	VERB
ajst-21764	9	7	separately	separately	ADV
ajst-21764	9	8	on	on	ADP
ajst-21764	9	9	the	the	DET
ajst-21764	9	10	two	two	NUM
ajst-21764	9	11	operators	operator	NOUN
ajst-21764	9	12	to	to	PART
ajst-21764	9	13	capture	capture	VERB
ajst-21764	9	14	larger	large	ADJ
ajst-21764	9	15	spatial	spatial	ADJ
ajst-21764	9	16	texture	texture	ADJ
ajst-21764	9	17	detail	detail	NOUN
ajst-21764	9	18	information	information	NOUN
ajst-21764	9	19	.	.	PUNCT
ajst-21764	10	1	finally	finally	ADV
ajst-21764	10	2	,	,	PUNCT
ajst-21764	10	3	comparative	comparative	ADJ
ajst-21764	10	4	experiments	experiment	NOUN
ajst-21764	10	5	are	be	AUX
ajst-21764	10	6	conducted	conduct	VERB
ajst-21764	10	7	on	on	ADP
ajst-21764	10	8	multiple	multiple	ADJ
ajst-21764	10	9	datasets	dataset	NOUN
ajst-21764	10	10	(	(	PUNCT
ajst-21764	10	11	outex	outex	PROPN
ajst-21764	10	12	,	,	PUNCT
ajst-21764	10	13	curet	curet	ADJ
ajst-21764	10	14	,	,	PUNCT
ajst-21764	10	15	brodatz	brodatz	PROPN
ajst-21764	10	16	,	,	PUNCT
ajst-21764	10	17	kth	kth	NOUN
ajst-21764	10	18	-	-	PUNCT
ajst-21764	10	19	tips	tip	NOUN
ajst-21764	10	20	,	,	PUNCT
ajst-21764	10	21	and	and	CCONJ
ajst-21764	10	22	kylberg	kylberg	PROPN
ajst-21764	10	23	)	)	PUNCT
ajst-21764	10	24	with	with	ADP
ajst-21764	10	25	representative	representative	ADJ
ajst-21764	10	26	texture	texture	ADJ
ajst-21764	10	27	classification	classification	NOUN
ajst-21764	10	28	methods	method	NOUN
ajst-21764	10	29	.	.	PUNCT
ajst-21764	11	1	the	the	DET
ajst-21764	11	2	results	result	NOUN
ajst-21764	11	3	indicate	indicate	VERB
ajst-21764	11	4	that	that	SCONJ
ajst-21764	11	5	our	our	PRON
ajst-21764	11	6	proposed	propose	VERB
ajst-21764	11	7	lenmp	lenmp	ADJ
ajst-21764	11	8	texture	texture	ADJ
ajst-21764	11	9	classification	classification	NOUN
ajst-21764	11	10	method	method	NOUN
ajst-21764	11	11	exhibits	exhibit	VERB
ajst-21764	11	12	good	good	ADJ
ajst-21764	11	13	classification	classification	NOUN
ajst-21764	11	14	performance	performance	NOUN
ajst-21764	11	15	and	and	CCONJ
ajst-21764	11	16	remains	remain	VERB
ajst-21764	11	17	competitive	competitive	ADJ
ajst-21764	11	18	compared	compare	VERB
ajst-21764	11	19	to	to	ADP
ajst-21764	11	20	the	the	DET
ajst-21764	11	21	latest	late	ADJ
ajst-21764	11	22	descriptors	descriptor	NOUN
ajst-21764	11	23	.	.	PUNCT
ajst-21764	12	1	keywords	keyword	NOUN
ajst-21764	12	2	:	:	PUNCT
ajst-21764	12	3	lbp	lbp	NOUN
ajst-21764	12	4	;	;	PUNCT
ajst-21764	12	5	thace	thace	NOUN
ajst-21764	12	6	;	;	PUNCT
ajst-21764	12	7	robust	robust	ADJ
ajst-21764	12	8	noise	noise	NOUN
ajst-21764	12	9	;	;	PUNCT
ajst-21764	12	10	median	median	ADJ
ajst-21764	12	11	filtering	filtering	NOUN
ajst-21764	12	12	.	.	PUNCT
ajst-21764	13	1	1	1	X
ajst-21764	13	2	.	.	X
ajst-21764	13	3	introduction	introduction	NOUN
ajst-21764	13	4	texture	texture	NOUN
ajst-21764	13	5	is	be	AUX
ajst-21764	13	6	represented	represent	VERB
ajst-21764	13	7	as	as	ADP
ajst-21764	13	8	local	local	ADJ
ajst-21764	13	9	patterns	pattern	NOUN
ajst-21764	13	10	that	that	PRON
ajst-21764	13	11	frequently	frequently	ADV
ajst-21764	13	12	occur	occur	VERB
ajst-21764	13	13	in	in	ADP
ajst-21764	13	14	an	an	DET
ajst-21764	13	15	image	image	NOUN
ajst-21764	13	16	,	,	PUNCT
ajst-21764	13	17	exhibiting	exhibit	VERB
ajst-21764	13	18	certain	certain	ADJ
ajst-21764	13	19	arrangement	arrangement	NOUN
ajst-21764	13	20	regularities	regularity	NOUN
ajst-21764	13	21	.	.	PUNCT
ajst-21764	14	1	it	it	PRON
ajst-21764	14	2	is	be	AUX
ajst-21764	14	3	a	a	DET
ajst-21764	14	4	widely	widely	ADV
ajst-21764	14	5	observed	observe	VERB
ajst-21764	14	6	visual	visual	ADJ
ajst-21764	14	7	phenomenon	phenomenon	NOUN
ajst-21764	14	8	,	,	PUNCT
ajst-21764	14	9	representing	represent	VERB
ajst-21764	14	10	the	the	DET
ajst-21764	14	11	fundamental	fundamental	ADJ
ajst-21764	14	12	characteristics	characteristic	NOUN
ajst-21764	14	13	of	of	ADP
ajst-21764	14	14	object	object	NOUN
ajst-21764	14	15	surfaces	surface	NOUN
ajst-21764	14	16	and	and	CCONJ
ajst-21764	14	17	playing	play	VERB
ajst-21764	14	18	an	an	DET
ajst-21764	14	19	important	important	ADJ
ajst-21764	14	20	role	role	NOUN
ajst-21764	14	21	as	as	ADP
ajst-21764	14	22	visual	visual	ADJ
ajst-21764	14	23	cues	cue	NOUN
ajst-21764	14	24	in	in	ADP
ajst-21764	14	25	human	human	ADJ
ajst-21764	14	26	perception	perception	NOUN
ajst-21764	14	27	of	of	ADP
ajst-21764	14	28	the	the	DET
ajst-21764	14	29	world	world	NOUN
ajst-21764	14	30	[	[	X
ajst-21764	14	31	1][2	1][2	PROPN
ajst-21764	14	32	]	]	PUNCT
ajst-21764	14	33	.	.	PUNCT
ajst-21764	15	1	local	local	ADJ
ajst-21764	15	2	binary	binary	ADJ
ajst-21764	15	3	pattern	pattern	NOUN
ajst-21764	15	4	(	(	PUNCT
ajst-21764	15	5	lbp	lbp	NOUN
ajst-21764	15	6	)	)	PUNCT
ajst-21764	16	1	[	[	X
ajst-21764	16	2	3	3	NUM
ajst-21764	16	3	]	]	PUNCT
ajst-21764	16	4	,	,	PUNCT
ajst-21764	16	5	as	as	ADP
ajst-21764	16	6	a	a	DET
ajst-21764	16	7	powerful	powerful	ADJ
ajst-21764	16	8	texture	texture	NOUN
ajst-21764	16	9	descriptor	descriptor	NOUN
ajst-21764	16	10	,	,	PUNCT
ajst-21764	16	11	has	have	AUX
ajst-21764	16	12	garnered	garner	VERB
ajst-21764	16	13	widespread	widespread	ADJ
ajst-21764	16	14	attention	attention	NOUN
ajst-21764	16	15	in	in	ADP
ajst-21764	16	16	academia	academia	NOUN
ajst-21764	16	17	.	.	PUNCT
ajst-21764	17	1	in	in	ADP
ajst-21764	17	2	addition	addition	NOUN
ajst-21764	17	3	to	to	ADP
ajst-21764	17	4	successful	successful	ADJ
ajst-21764	17	5	applications	application	NOUN
ajst-21764	17	6	in	in	ADP
ajst-21764	17	7	texture	texture	ADJ
ajst-21764	17	8	classification	classification	NOUN
ajst-21764	17	9	[	[	X
ajst-21764	17	10	4	4	NUM
ajst-21764	17	11	]	]	PUNCT
ajst-21764	17	12	and	and	CCONJ
ajst-21764	17	13	face	face	VERB
ajst-21764	17	14	recognition	recognition	NOUN
ajst-21764	17	15	[	[	X
ajst-21764	17	16	5	5	NUM
ajst-21764	17	17	]	]	PUNCT
ajst-21764	17	18	,	,	PUNCT
ajst-21764	17	19	the	the	DET
ajst-21764	17	20	lbp	lbp	NOUN
ajst-21764	17	21	technique	technique	NOUN
ajst-21764	17	22	has	have	AUX
ajst-21764	17	23	also	also	ADV
ajst-21764	17	24	exhibited	exhibit	VERB
ajst-21764	17	25	satisfactory	satisfactory	ADJ
ajst-21764	17	26	results	result	NOUN
ajst-21764	17	27	in	in	ADP
ajst-21764	17	28	different	different	ADJ
ajst-21764	17	29	domains	domain	NOUN
ajst-21764	17	30	of	of	ADP
ajst-21764	17	31	image	image	NOUN
ajst-21764	17	32	processing	processing	NOUN
ajst-21764	17	33	.	.	PUNCT
ajst-21764	18	1	these	these	PRON
ajst-21764	18	2	include	include	VERB
ajst-21764	18	3	dynamic	dynamic	ADJ
ajst-21764	18	4	texture	texture	NOUN
ajst-21764	18	5	[	[	X
ajst-21764	18	6	6	6	NUM
ajst-21764	18	7	]	]	PUNCT
ajst-21764	18	8	,	,	PUNCT
ajst-21764	18	9	medical	medical	ADJ
ajst-21764	18	10	image	image	NOUN
ajst-21764	18	11	analysis	analysis	NOUN
ajst-21764	18	12	[	[	X
ajst-21764	18	13	7	7	NUM
ajst-21764	18	14	]	]	PUNCT
ajst-21764	18	15	,	,	PUNCT
ajst-21764	18	16	object	object	VERB
ajst-21764	18	17	detection	detection	NOUN
ajst-21764	18	18	[	[	X
ajst-21764	18	19	8	8	NUM
ajst-21764	18	20	]	]	PUNCT
ajst-21764	18	21	,	,	PUNCT
ajst-21764	18	22	image	image	NOUN
ajst-21764	18	23	segmentation	segmentation	NOUN
ajst-21764	18	24	[	[	X
ajst-21764	18	25	9	9	NUM
ajst-21764	18	26	]	]	PUNCT
ajst-21764	18	27	,	,	PUNCT
ajst-21764	18	28	fingerprint	fingerprint	NOUN
ajst-21764	18	29	detection	detection	NOUN
ajst-21764	18	30	[	[	X
ajst-21764	18	31	10	10	NUM
ajst-21764	18	32	]	]	PUNCT
ajst-21764	18	33	,	,	PUNCT
ajst-21764	18	34	color	color	ADJ
ajst-21764	18	35	texture	texture	NOUN
ajst-21764	19	1	[	[	X
ajst-21764	19	2	11	11	NUM
ajst-21764	19	3	]	]	PUNCT
ajst-21764	19	4	,	,	PUNCT
ajst-21764	19	5	finger	finger	NOUN
ajst-21764	19	6	vein	vein	VERB
ajst-21764	19	7	image	image	NOUN
ajst-21764	19	8	restoration	restoration	NOUN
ajst-21764	19	9	[	[	X
ajst-21764	19	10	12	12	NUM
ajst-21764	19	11	]	]	PUNCT
ajst-21764	19	12	,	,	PUNCT
ajst-21764	19	13	and	and	CCONJ
ajst-21764	19	14	others	other	NOUN
ajst-21764	19	15	.	.	PUNCT
ajst-21764	20	1	due	due	ADP
ajst-21764	20	2	to	to	ADP
ajst-21764	20	3	its	its	PRON
ajst-21764	20	4	simple	simple	ADJ
ajst-21764	20	5	principle	principle	NOUN
ajst-21764	20	6	,	,	PUNCT
ajst-21764	20	7	rapid	rapid	ADJ
ajst-21764	20	8	computation	computation	NOUN
ajst-21764	20	9	,	,	PUNCT
ajst-21764	20	10	low	low	ADJ
ajst-21764	20	11	storage	storage	NOUN
ajst-21764	20	12	requirements	requirement	NOUN
ajst-21764	20	13	,	,	PUNCT
ajst-21764	20	14	high	high	ADJ
ajst-21764	20	15	efficiency	efficiency	NOUN
ajst-21764	20	16	,	,	PUNCT
ajst-21764	20	17	and	and	CCONJ
ajst-21764	20	18	rotational	rotational	ADJ
ajst-21764	20	19	invariance	invariance	NOUN
ajst-21764	20	20	,	,	PUNCT
ajst-21764	20	21	researchers	researcher	NOUN
ajst-21764	20	22	have	have	AUX
ajst-21764	20	23	proposed	propose	VERB
ajst-21764	20	24	many	many	ADJ
ajst-21764	20	25	lbpbased	lbpbase	VERB
ajst-21764	20	26	variant	variant	ADJ
ajst-21764	20	27	methods	method	NOUN
ajst-21764	20	28	.	.	PUNCT
ajst-21764	21	1	on	on	ADP
ajst-21764	21	2	one	one	NUM
ajst-21764	21	3	hand	hand	NOUN
ajst-21764	21	4	,	,	PUNCT
ajst-21764	21	5	to	to	PART
ajst-21764	21	6	capture	capture	VERB
ajst-21764	21	7	more	more	ADV
ajst-21764	21	8	intricate	intricate	ADJ
ajst-21764	21	9	details	detail	NOUN
ajst-21764	21	10	from	from	ADP
ajst-21764	21	11	descriptors	descriptor	NOUN
ajst-21764	21	12	.	.	PUNCT
ajst-21764	22	1	guo	guo	PROPN
ajst-21764	22	2	et	et	PROPN
ajst-21764	22	3	al	al	PROPN
ajst-21764	22	4	.	.	PUNCT
ajst-21764	23	1	[	[	X
ajst-21764	23	2	13	13	NUM
ajst-21764	23	3	]	]	PUNCT
ajst-21764	23	4	proposed	propose	VERB
ajst-21764	23	5	the	the	DET
ajst-21764	23	6	clbp	clbp	PROPN
ajst-21764	23	7	.	.	PUNCT
ajst-21764	24	1	clbp	clbp	PROPN
ajst-21764	24	2	had	have	VERB
ajst-21764	24	3	three	three	NUM
ajst-21764	24	4	descriptors	descriptor	NOUN
ajst-21764	24	5	in	in	ADP
ajst-21764	24	6	total	total	ADJ
ajst-21764	24	7	,	,	PUNCT
ajst-21764	24	8	namely	namely	ADV
ajst-21764	24	9	clbp_c	clbp_c	X
ajst-21764	24	10	,	,	PUNCT
ajst-21764	24	11	clbp_s	clbp_s	NOUN
ajst-21764	24	12	,	,	PUNCT
ajst-21764	24	13	and	and	CCONJ
ajst-21764	24	14	clbp_m	clbp_m	NOUN
ajst-21764	24	15	,	,	PUNCT
ajst-21764	24	16	aiming	aim	VERB
ajst-21764	24	17	to	to	PART
ajst-21764	24	18	enhance	enhance	VERB
ajst-21764	24	19	the	the	DET
ajst-21764	24	20	discriminative	discriminative	NOUN
ajst-21764	24	21	power	power	NOUN
ajst-21764	24	22	of	of	ADP
ajst-21764	24	23	features	feature	NOUN
ajst-21764	24	24	by	by	ADP
ajst-21764	24	25	integrating	integrate	VERB
ajst-21764	24	26	multiple	multiple	ADJ
ajst-21764	24	27	complementary	complementary	ADJ
ajst-21764	24	28	pieces	piece	NOUN
ajst-21764	24	29	of	of	ADP
ajst-21764	24	30	information	information	NOUN
ajst-21764	24	31	.	.	PUNCT
ajst-21764	25	1	tan	tan	PROPN
ajst-21764	25	2	et	et	PROPN
ajst-21764	25	3	al	al	PROPN
ajst-21764	25	4	.	.	PUNCT
ajst-21764	26	1	[	[	X
ajst-21764	26	2	14	14	NUM
ajst-21764	26	3	]	]	PUNCT
ajst-21764	26	4	proposed	propose	VERB
ajst-21764	26	5	ltp	ltp	PROPN
ajst-21764	26	6	and	and	CCONJ
ajst-21764	26	7	zheng	zheng	PROPN
ajst-21764	26	8	et	et	PROPN
ajst-21764	26	9	al	al	PROPN
ajst-21764	26	10	.	.	PUNCT
ajst-21764	27	1	[	[	X
ajst-21764	27	2	15	15	NUM
ajst-21764	27	3	]	]	PUNCT
ajst-21764	27	4	introduced	introduce	VERB
ajst-21764	27	5	circular	circular	ADJ
ajst-21764	27	6	local	local	ADJ
ajst-21764	27	7	ternary	ternary	ADJ
ajst-21764	27	8	pattern	pattern	NOUN
ajst-21764	27	9	(	(	PUNCT
ajst-21764	27	10	cltp	cltp	PROPN
ajst-21764	27	11	)	)	PUNCT
ajst-21764	27	12	,	,	PUNCT
ajst-21764	27	13	extending	extend	VERB
ajst-21764	27	14	binary	binary	ADJ
ajst-21764	27	15	pattern	pattern	NOUN
ajst-21764	27	16	encoding	encode	VERB
ajst-21764	27	17	to	to	ADP
ajst-21764	27	18	ternary	ternary	ADJ
ajst-21764	27	19	patterns	pattern	NOUN
ajst-21764	27	20	,	,	PUNCT
ajst-21764	27	21	which	which	PRON
ajst-21764	27	22	were	be	AUX
ajst-21764	27	23	more	more	ADJ
ajst-21764	27	24	discriminative	discriminative	NOUN
ajst-21764	27	25	and	and	CCONJ
ajst-21764	27	26	less	less	ADV
ajst-21764	27	27	sensitive	sensitive	ADJ
ajst-21764	27	28	to	to	ADP
ajst-21764	27	29	uniform	uniform	ADJ
ajst-21764	27	30	region	region	NOUN
ajst-21764	27	31	noise	noise	NOUN
ajst-21764	27	32	.	.	PUNCT
ajst-21764	28	1	guo	guo	PROPN
ajst-21764	28	2	et	et	PROPN
ajst-21764	28	3	al	al	PROPN
ajst-21764	28	4	.	.	PUNCT
ajst-21764	29	1	[	[	X
ajst-21764	29	2	16	16	NUM
ajst-21764	29	3	]	]	PUNCT
ajst-21764	29	4	introduced	introduce	VERB
ajst-21764	29	5	the	the	DET
ajst-21764	29	6	adaptive	adaptive	ADJ
ajst-21764	29	7	albp	albp	PROPN
ajst-21764	29	8	.	.	PUNCT
ajst-21764	30	1	albp	albp	PROPN
ajst-21764	30	2	provided	provide	VERB
ajst-21764	30	3	a	a	DET
ajst-21764	30	4	comprehensive	comprehensive	ADJ
ajst-21764	30	5	representation	representation	NOUN
ajst-21764	30	6	of	of	ADP
ajst-21764	30	7	the	the	DET
ajst-21764	30	8	spatial	spatial	ADJ
ajst-21764	30	9	structure	structure	NOUN
ajst-21764	30	10	of	of	ADP
ajst-21764	30	11	the	the	DET
ajst-21764	30	12	entire	entire	ADJ
ajst-21764	30	13	image	image	NOUN
ajst-21764	30	14	.	.	PUNCT
ajst-21764	31	1	dong	dong	NOUN
ajst-21764	31	2	et	et	PROPN
ajst-21764	31	3	al	al	PROPN
ajst-21764	31	4	.	.	PUNCT
ajst-21764	32	1	[	[	X
ajst-21764	32	2	17	17	NUM
ajst-21764	32	3	]	]	PUNCT
ajst-21764	32	4	introduced	introduce	VERB
ajst-21764	32	5	the	the	DET
ajst-21764	32	6	msdmd	msdmd	NOUN
ajst-21764	32	7	.	.	PUNCT
ajst-21764	33	1	msdmd	msdmd	NOUN
ajst-21764	33	2	successfully	successfully	ADV
ajst-21764	33	3	captured	capture	VERB
ajst-21764	33	4	the	the	DET
ajst-21764	33	5	rotation	rotation	NOUN
ajst-21764	33	6	invariance	invariance	NOUN
ajst-21764	33	7	of	of	ADP
ajst-21764	33	8	textures	texture	NOUN
ajst-21764	33	9	.	.	PUNCT
ajst-21764	34	1	hu	hu	PROPN
ajst-21764	34	2	et	et	PROPN
ajst-21764	34	3	al	al	PROPN
ajst-21764	34	4	.	.	PUNCT
ajst-21764	35	1	[	[	X
ajst-21764	35	2	18	18	NUM
ajst-21764	35	3	]	]	PUNCT
ajst-21764	35	4	introduced	introduce	VERB
ajst-21764	35	5	the	the	DET
ajst-21764	35	6	abmv	abmv	NOUN
ajst-21764	35	7	method	method	NOUN
ajst-21764	35	8	.	.	PUNCT
ajst-21764	36	1	abmv	abmv	NOUN
ajst-21764	36	2	capable	capable	ADJ
ajst-21764	36	3	of	of	ADP
ajst-21764	36	4	better	well	ADJ
ajst-21764	36	5	extracting	extract	VERB
ajst-21764	36	6	amplitude	amplitude	NOUN
ajst-21764	36	7	features	feature	NOUN
ajst-21764	36	8	in	in	ADP
ajst-21764	36	9	rough	rough	ADJ
ajst-21764	36	10	and	and	CCONJ
ajst-21764	36	11	smooth	smooth	ADJ
ajst-21764	36	12	regions	region	NOUN
ajst-21764	36	13	.	.	PUNCT
ajst-21764	37	1	ma	ma	PROPN
ajst-21764	37	2	et	et	PROPN
ajst-21764	37	3	al	al	PROPN
ajst-21764	37	4	.	.	PUNCT
ajst-21764	38	1	[	[	X
ajst-21764	38	2	19	19	NUM
ajst-21764	38	3	]	]	PUNCT
ajst-21764	38	4	proposed	propose	VERB
ajst-21764	38	5	the	the	DET
ajst-21764	38	6	msmdb	msmdb	NOUN
ajst-21764	38	7	for	for	ADP
ajst-21764	38	8	palmprint	palmprint	NOUN
ajst-21764	38	9	recognition	recognition	NOUN
ajst-21764	38	10	,	,	PUNCT
ajst-21764	38	11	applying	apply	VERB
ajst-21764	38	12	binary	binary	ADJ
ajst-21764	38	13	patterns	pattern	NOUN
ajst-21764	38	14	to	to	PART
ajst-21764	38	15	palmprint	palmprint	VERB
ajst-21764	38	16	recognition	recognition	NOUN
ajst-21764	38	17	,	,	PUNCT
ajst-21764	38	18	forming	form	VERB
ajst-21764	38	19	complementary	complementary	ADJ
ajst-21764	38	20	descriptors	descriptor	NOUN
ajst-21764	38	21	,	,	PUNCT
ajst-21764	38	22	and	and	CCONJ
ajst-21764	38	23	extracting	extract	VERB
ajst-21764	38	24	comprehensive	comprehensive	ADJ
ajst-21764	38	25	information	information	NOUN
ajst-21764	38	26	from	from	ADP
ajst-21764	38	27	multiscale	multiscale	ADJ
ajst-21764	38	28	and	and	CCONJ
ajst-21764	38	29	multidirectional	multidirectional	ADJ
ajst-21764	38	30	features	feature	NOUN
ajst-21764	38	31	.	.	PUNCT
ajst-21764	39	1	on	on	ADP
ajst-21764	39	2	the	the	DET
ajst-21764	39	3	other	other	ADJ
ajst-21764	39	4	hand	hand	NOUN
ajst-21764	39	5	,	,	PUNCT
ajst-21764	39	6	to	to	PART
ajst-21764	39	7	improve	improve	VERB
ajst-21764	39	8	the	the	DET
ajst-21764	39	9	resilience	resilience	NOUN
ajst-21764	39	10	of	of	ADP
ajst-21764	39	11	descriptors	descriptor	NOUN
ajst-21764	39	12	against	against	ADP
ajst-21764	39	13	noise	noise	NOUN
ajst-21764	39	14	.	.	PUNCT
ajst-21764	40	1	liu	liu	PROPN
ajst-21764	40	2	et	et	PROPN
ajst-21764	40	3	al	al	PROPN
ajst-21764	40	4	.	.	PUNCT
ajst-21764	41	1	[	[	X
ajst-21764	41	2	20	20	NUM
ajst-21764	41	3	]	]	PUNCT
ajst-21764	41	4	introduced	introduce	VERB
ajst-21764	41	5	the	the	DET
ajst-21764	41	6	brint	brint	NOUN
ajst-21764	41	7	descriptor	descriptor	NOUN
ajst-21764	41	8	,	,	PUNCT
ajst-21764	41	9	which	which	PRON
ajst-21764	41	10	computed	compute	VERB
ajst-21764	41	11	the	the	DET
ajst-21764	41	12	average	average	NOUN
ajst-21764	41	13	before	before	ADP
ajst-21764	41	14	binarization	binarization	NOUN
ajst-21764	41	15	.	.	PUNCT
ajst-21764	42	1	this	this	DET
ajst-21764	42	2	descriptor	descriptor	NOUN
ajst-21764	42	3	was	be	AUX
ajst-21764	42	4	simple	simple	ADJ
ajst-21764	42	5	,	,	PUNCT
ajst-21764	42	6	efficient	efficient	ADJ
ajst-21764	42	7	,	,	PUNCT
ajst-21764	42	8	and	and	CCONJ
ajst-21764	42	9	robust	robust	ADJ
ajst-21764	42	10	,	,	PUNCT
ajst-21764	42	11	maintaining	maintain	VERB
ajst-21764	42	12	robustness	robustness	NOUN
ajst-21764	42	13	against	against	ADP
ajst-21764	42	14	noise	noise	NOUN
ajst-21764	42	15	,	,	PUNCT
ajst-21764	42	16	illumination	illumination	NOUN
ajst-21764	42	17	changes	change	NOUN
ajst-21764	42	18	,	,	PUNCT
ajst-21764	42	19	and	and	CCONJ
ajst-21764	42	20	rotation	rotation	NOUN
ajst-21764	42	21	.	.	PUNCT
ajst-21764	43	1	liu	liu	PROPN
ajst-21764	43	2	et	et	PROPN
ajst-21764	43	3	al	al	PROPN
ajst-21764	43	4	.	.	PUNCT
ajst-21764	44	1	[	[	X
ajst-21764	44	2	21	21	NUM
ajst-21764	44	3	]	]	PUNCT
ajst-21764	44	4	introduced	introduce	VERB
ajst-21764	44	5	the	the	DET
ajst-21764	44	6	mrelbp	mrelbp	PROPN
ajst-21764	44	7	,	,	PUNCT
ajst-21764	44	8	which	which	PRON
ajst-21764	44	9	compared	compare	VERB
ajst-21764	44	10	the	the	DET
ajst-21764	44	11	median	median	ADJ
ajst-21764	44	12	grayscale	grayscale	NOUN
ajst-21764	44	13	values	value	NOUN
ajst-21764	44	14	of	of	ADP
ajst-21764	44	15	local	local	ADJ
ajst-21764	44	16	image	image	NOUN
ajst-21764	44	17	regions	region	NOUN
ajst-21764	44	18	to	to	PART
ajst-21764	44	19	capture	capture	VERB
ajst-21764	44	20	larger	large	ADJ
ajst-21764	44	21	spatial	spatial	ADJ
ajst-21764	44	22	information	information	NOUN
ajst-21764	44	23	.	.	PUNCT
ajst-21764	45	1	mrelbp	mrelbp	PROPN
ajst-21764	45	2	exhibited	exhibit	VERB
ajst-21764	45	3	good	good	ADJ
ajst-21764	45	4	grayscale	grayscale	NOUN
ajst-21764	45	5	and	and	CCONJ
ajst-21764	45	6	rotational	rotational	ADJ
ajst-21764	45	7	invariance	invariance	NOUN
ajst-21764	45	8	as	as	ADV
ajst-21764	45	9	well	well	ADV
ajst-21764	45	10	as	as	ADP
ajst-21764	45	11	robustness	robustness	NOUN
ajst-21764	45	12	against	against	ADP
ajst-21764	45	13	noise	noise	NOUN
ajst-21764	45	14	.	.	PUNCT
ajst-21764	46	1	song	song	NOUN
ajst-21764	46	2	et	et	PROPN
ajst-21764	46	3	al	al	PROPN
ajst-21764	46	4	.	.	PUNCT
ajst-21764	47	1	[	[	X
ajst-21764	47	2	22	22	NUM
ajst-21764	47	3	]	]	PUNCT
ajst-21764	47	4	proposed	propose	VERB
ajst-21764	47	5	the	the	DET
ajst-21764	47	6	lgonbp	lgonbp	NOUN
ajst-21764	47	7	descriptors	descriptor	NOUN
ajst-21764	47	8	to	to	PART
ajst-21764	47	9	capture	capture	VERB
ajst-21764	47	10	both	both	DET
ajst-21764	47	11	local	local	ADJ
ajst-21764	47	12	and	and	CCONJ
ajst-21764	47	13	non	non	ADJ
ajst-21764	47	14	-	-	ADJ
ajst-21764	47	15	local	local	ADJ
ajst-21764	47	16	texture	texture	NOUN
ajst-21764	47	17	features	feature	NOUN
ajst-21764	47	18	,	,	PUNCT
ajst-21764	47	19	achieving	achieve	VERB
ajst-21764	47	20	robustness	robustness	NOUN
ajst-21764	47	21	against	against	ADP
ajst-21764	47	22	image	image	NOUN
ajst-21764	47	23	rotation	rotation	NOUN
ajst-21764	47	24	and	and	CCONJ
ajst-21764	47	25	noise	noise	NOUN
ajst-21764	47	26	.	.	PUNCT
ajst-21764	48	1	khadiri	khadiri	PROPN
ajst-21764	48	2	et	et	PROPN
ajst-21764	48	3	al	al	PROPN
ajst-21764	48	4	.	.	PUNCT
ajst-21764	49	1	[	[	X
ajst-21764	49	2	1	1	X
ajst-21764	49	3	]	]	PUNCT
ajst-21764	49	4	introduced	introduce	VERB
ajst-21764	49	5	the	the	DET
ajst-21764	49	6	pgmo	pgmo	NOUN
ajst-21764	49	7	-	-	PUNCT
ajst-21764	49	8	mstp	mstp	NOUN
ajst-21764	49	9	,	,	PUNCT
ajst-21764	49	10	which	which	PRON
ajst-21764	49	11	utilized	utilize	VERB
ajst-21764	49	12	peterson	peterson	NOUN
ajst-21764	49	13	graphs	graph	NOUN
ajst-21764	49	14	in	in	ADP
ajst-21764	49	15	four	four	NUM
ajst-21764	49	16	directions	direction	NOUN
ajst-21764	49	17	for	for	ADP
ajst-21764	49	18	multi	multi	ADJ
ajst-21764	49	19	-	-	ADJ
ajst-21764	49	20	level	level	ADJ
ajst-21764	49	21	encoding	encoding	NOUN
ajst-21764	49	22	to	to	PART
ajst-21764	49	23	capture	capture	VERB
ajst-21764	49	24	spatial	spatial	ADJ
ajst-21764	49	25	information	information	NOUN
ajst-21764	49	26	of	of	ADP
ajst-21764	49	27	horizontal	horizontal	ADJ
ajst-21764	49	28	structures	structure	NOUN
ajst-21764	49	29	.	.	PUNCT
ajst-21764	50	1	the	the	DET
ajst-21764	50	2	approach	approach	NOUN
ajst-21764	50	3	computed	compute	VERB
ajst-21764	50	4	the	the	DET
ajst-21764	50	5	mean	mean	ADJ
ajst-21764	50	6	grayscale	grayscale	NOUN
ajst-21764	50	7	values	value	NOUN
ajst-21764	50	8	to	to	PART
ajst-21764	50	9	generate	generate	VERB
ajst-21764	50	10	diverse	diverse	ADJ
ajst-21764	50	11	global	global	ADJ
ajst-21764	50	12	and	and	CCONJ
ajst-21764	50	13	local	local	ADJ
ajst-21764	50	14	average	average	ADJ
ajst-21764	50	15	grayscale	grayscale	NOUN
ajst-21764	50	16	levels	level	NOUN
ajst-21764	50	17	utilized	utilize	VERB
ajst-21764	50	18	for	for	ADP
ajst-21764	50	19	constructing	construct	VERB
ajst-21764	50	20	the	the	DET
ajst-21764	50	21	pgmo	pgmo	ADJ
ajst-21764	50	22	-	-	PUNCT
ajst-21764	50	23	mstp	mstp	PROPN
ajst-21764	50	24	code	code	NOUN
ajst-21764	50	25	.	.	PUNCT
ajst-21764	51	1	this	this	DET
ajst-21764	51	2	technique	technique	NOUN
ajst-21764	51	3	exhibited	exhibit	VERB
ajst-21764	51	4	robustness	robustness	NOUN
ajst-21764	51	5	to	to	ADP
ajst-21764	51	6	noise	noise	NOUN
ajst-21764	51	7	and	and	CCONJ
ajst-21764	51	8	remained	remain	VERB
ajst-21764	51	9	unchanged	unchanged	ADJ
ajst-21764	51	10	under	under	ADP
ajst-21764	51	11	monotonic	monotonic	ADJ
ajst-21764	51	12	grayscale	grayscale	NOUN
ajst-21764	51	13	adjustments	adjustment	NOUN
ajst-21764	51	14	.	.	PUNCT
ajst-21764	52	1	however	however	ADV
ajst-21764	52	2	,	,	PUNCT
ajst-21764	52	3	the	the	DET
ajst-21764	52	4	aforementioned	aforementioned	ADJ
ajst-21764	52	5	original	original	ADJ
ajst-21764	52	6	lbp	lbp	NOUN
ajst-21764	52	7	and	and	CCONJ
ajst-21764	52	8	its	its	PRON
ajst-21764	52	9	variant	variant	ADJ
ajst-21764	52	10	methods	method	NOUN
ajst-21764	52	11	mainly	mainly	ADV
ajst-21764	52	12	focus	focus	VERB
ajst-21764	52	13	on	on	ADP
ajst-21764	52	14	extracting	extract	VERB
ajst-21764	52	15	local	local	ADJ
ajst-21764	52	16	symbol	symbol	NOUN
ajst-21764	52	17	differences	difference	NOUN
ajst-21764	52	18	,	,	PUNCT
ajst-21764	52	19	thereby	thereby	ADV
ajst-21764	52	20	overlooking	overlook	VERB
ajst-21764	52	21	certain	certain	ADJ
ajst-21764	52	22	detailed	detailed	ADJ
ajst-21764	52	23	information	information	NOUN
ajst-21764	52	24	,	,	PUNCT
ajst-21764	52	25	often	often	ADV
ajst-21764	52	26	resulting	result	VERB
ajst-21764	52	27	in	in	ADP
ajst-21764	52	28	descriptors	descriptor	NOUN
ajst-21764	52	29	that	that	PRON
ajst-21764	52	30	are	be	AUX
ajst-21764	52	31	sensitive	sensitive	ADJ
ajst-21764	52	32	to	to	ADP
ajst-21764	52	33	noise	noise	NOUN
ajst-21764	52	34	.	.	PUNCT
ajst-21764	53	1	addressing	address	VERB
ajst-21764	53	2	these	these	DET
ajst-21764	53	3	issues	issue	NOUN
ajst-21764	53	4	,	,	PUNCT
ajst-21764	53	5	to	to	PART
ajst-21764	53	6	enhance	enhance	VERB
ajst-21764	53	7	the	the	DET
ajst-21764	53	8	classification	classification	NOUN
ajst-21764	53	9	accuracy	accuracy	NOUN
ajst-21764	53	10	of	of	ADP
ajst-21764	53	11	texture	texture	ADJ
ajst-21764	53	12	classification	classification	NOUN
ajst-21764	53	13	methods	method	NOUN
ajst-21764	53	14	,	,	PUNCT
ajst-21764	53	15	this	this	DET
ajst-21764	53	16	paper	paper	NOUN
ajst-21764	53	17	introduces	introduce	VERB
ajst-21764	53	18	a	a	DET
ajst-21764	53	19	lenmp	lenmp	NOUN
ajst-21764	53	20	descriptor	descriptor	NOUN
ajst-21764	53	21	.	.	PUNCT
ajst-21764	54	1	the	the	DET
ajst-21764	54	2	primary	primary	ADJ
ajst-21764	54	3	contributions	contribution	NOUN
ajst-21764	54	4	of	of	ADP
ajst-21764	54	5	this	this	DET
ajst-21764	54	6	research	research	NOUN
ajst-21764	54	7	are	be	AUX
ajst-21764	54	8	outlined	outline	VERB
ajst-21764	54	9	below	below	ADV
ajst-21764	54	10	:	:	PUNCT
ajst-21764	54	11	(	(	PUNCT
ajst-21764	54	12	1	1	NUM
ajst-21764	54	13	)	)	PUNCT
ajst-21764	54	14	.	.	PUNCT
ajst-21764	55	1	we	we	PRON
ajst-21764	55	2	propose	propose	VERB
ajst-21764	55	3	a	a	DET
ajst-21764	55	4	local	local	ADJ
ajst-21764	55	5	enhancement	enhancement	NOUN
ajst-21764	55	6	and	and	CCONJ
ajst-21764	55	7	non	non	ADJ
ajst-21764	55	8	-	-	ADJ
ajst-21764	55	9	local	local	ADJ
ajst-21764	55	10	median	median	ADJ
ajst-21764	55	11	pattern	pattern	NOUN
ajst-21764	55	12	(	(	PUNCT
ajst-21764	55	13	lenmp	lenmp	PROPN
ajst-21764	55	14	)	)	PUNCT
ajst-21764	55	15	for	for	ADP
ajst-21764	55	16	texture	texture	ADJ
ajst-21764	55	17	classification	classification	NOUN
ajst-21764	55	18	,	,	PUNCT
ajst-21764	55	19	which	which	PRON
ajst-21764	55	20	includes	include	VERB
ajst-21764	55	21	two	two	NUM
ajst-21764	55	22	operators	operator	NOUN
ajst-21764	55	23	:	:	PUNCT
ajst-21764	55	24	local	local	ADJ
ajst-21764	55	25	adaptive	adaptive	ADJ
ajst-21764	55	26	enhancement	enhancement	NOUN
ajst-21764	55	27	pattern	pattern	NOUN
ajst-21764	55	28	(	(	PUNCT
ajst-21764	55	29	lep	lep	PROPN
ajst-21764	55	30	)	)	PUNCT
ajst-21764	55	31	for	for	ADP
ajst-21764	55	32	extracting	extract	VERB
ajst-21764	55	33	local	local	ADJ
ajst-21764	55	34	information	information	NOUN
ajst-21764	55	35	and	and	CCONJ
ajst-21764	55	36	non	non	ADJ
ajst-21764	55	37	-	-	ADJ
ajst-21764	55	38	local	local	ADJ
ajst-21764	55	39	median	median	ADJ
ajst-21764	55	40	binary	binary	NOUN
ajst-21764	55	41	pattern	pattern	NOUN
ajst-21764	55	42	(	(	PUNCT
ajst-21764	55	43	nmbp	nmbp	NOUN
ajst-21764	55	44	)	)	PUNCT
ajst-21764	55	45	for	for	ADP
ajst-21764	55	46	extracting	extract	VERB
ajst-21764	55	47	global	global	ADJ
ajst-21764	55	48	information	information	NOUN
ajst-21764	55	49	.	.	PUNCT
ajst-21764	56	1	it	it	PRON
ajst-21764	56	2	not	not	PART
ajst-21764	56	3	only	only	ADV
ajst-21764	56	4	extracts	extract	NOUN
ajst-21764	56	5	more	more	ADV
ajst-21764	56	6	detailed	detailed	ADJ
ajst-21764	56	7	information	information	NOUN
ajst-21764	56	8	but	but	CCONJ
ajst-21764	56	9	also	also	ADV
ajst-21764	56	10	exhibits	exhibit	VERB
ajst-21764	56	11	good	good	ADJ
ajst-21764	56	12	robustness	robustness	NOUN
ajst-21764	56	13	to	to	ADP
ajst-21764	56	14	noise	noise	NOUN
ajst-21764	56	15	.	.	PUNCT
ajst-21764	57	1	(	(	PUNCT
ajst-21764	57	2	2	2	NUM
ajst-21764	57	3	)	)	PUNCT
ajst-21764	57	4	.	.	PUNCT
ajst-21764	58	1	we	we	PRON
ajst-21764	58	2	introduce	introduce	VERB
ajst-21764	58	3	the	the	DET
ajst-21764	58	4	adaptive	adaptive	ADJ
ajst-21764	58	5	threshold	threshold	NOUN
ajst-21764	58	6	contrast	contrast	VERB
ajst-21764	58	7	89	89	NUM
ajst-21764	58	8	enhancement	enhancement	NOUN
ajst-21764	58	9	algorithm	algorithm	NOUN
ajst-21764	58	10	(	(	PUNCT
ajst-21764	58	11	thace	thace	NOUN
ajst-21764	58	12	)	)	PUNCT
ajst-21764	58	13	to	to	PART
ajst-21764	58	14	enhance	enhance	VERB
ajst-21764	58	15	high	high	ADJ
ajst-21764	58	16	-	-	PUNCT
ajst-21764	58	17	frequency	frequency	NOUN
ajst-21764	58	18	information	information	NOUN
ajst-21764	58	19	,	,	PUNCT
ajst-21764	58	20	extracting	extract	VERB
ajst-21764	58	21	more	more	ADJ
ajst-21764	58	22	contour	contour	NOUN
ajst-21764	58	23	edge	edge	NOUN
ajst-21764	58	24	details	detail	NOUN
ajst-21764	58	25	and	and	CCONJ
ajst-21764	58	26	enhancing	enhance	VERB
ajst-21764	58	27	the	the	DET
ajst-21764	58	28	effectiveness	effectiveness	NOUN
ajst-21764	58	29	of	of	ADP
ajst-21764	58	30	feature	feature	NOUN
ajst-21764	58	31	extraction	extraction	NOUN
ajst-21764	58	32	.	.	PUNCT
ajst-21764	59	1	(	(	PUNCT
ajst-21764	59	2	3	3	NUM
ajst-21764	59	3	)	)	PUNCT
ajst-21764	59	4	.	.	PUNCT
ajst-21764	60	1	the	the	DET
ajst-21764	60	2	lenmp	lenmp	PROPN
ajst-21764	60	3	descriptor	descriptor	NOUN
ajst-21764	60	4	utilizes	utilize	VERB
ajst-21764	60	5	a	a	DET
ajst-21764	60	6	median	median	ADJ
ajst-21764	60	7	filter	filter	NOUN
ajst-21764	60	8	for	for	ADP
ajst-21764	60	9	preprocessing	preprocessing	NOUN
ajst-21764	60	10	,	,	PUNCT
ajst-21764	60	11	effectively	effectively	ADV
ajst-21764	60	12	eliminating	eliminate	VERB
ajst-21764	60	13	noise	noise	NOUN
ajst-21764	60	14	from	from	ADP
ajst-21764	60	15	the	the	DET
ajst-21764	60	16	image	image	NOUN
ajst-21764	60	17	while	while	SCONJ
ajst-21764	60	18	capturing	capture	VERB
ajst-21764	60	19	larger	large	ADJ
ajst-21764	60	20	spatial	spatial	ADJ
ajst-21764	60	21	texture	texture	ADJ
ajst-21764	60	22	details	detail	NOUN
ajst-21764	60	23	.	.	PUNCT
ajst-21764	61	1	(	(	PUNCT
ajst-21764	61	2	4	4	NUM
ajst-21764	61	3	)	)	PUNCT
ajst-21764	61	4	.	.	PUNCT
ajst-21764	62	1	a	a	DET
ajst-21764	62	2	series	series	NOUN
ajst-21764	62	3	of	of	ADP
ajst-21764	62	4	comparative	comparative	ADJ
ajst-21764	62	5	experiments	experiment	NOUN
ajst-21764	62	6	are	be	AUX
ajst-21764	62	7	conducted	conduct	VERB
ajst-21764	62	8	on	on	ADP
ajst-21764	62	9	several	several	ADJ
ajst-21764	62	10	classical	classical	ADJ
ajst-21764	62	11	datasets	dataset	NOUN
ajst-21764	62	12	(	(	PUNCT
ajst-21764	62	13	outex	outex	NOUN
ajst-21764	62	14	,	,	PUNCT
ajst-21764	62	15	curet	curet	ADJ
ajst-21764	62	16	,	,	PUNCT
ajst-21764	62	17	brodatz	brodatz	NOUN
ajst-21764	62	18	,	,	PUNCT
ajst-21764	62	19	kthtips	kthtips	PROPN
ajst-21764	62	20	,	,	PUNCT
ajst-21764	62	21	and	and	CCONJ
ajst-21764	62	22	kylberg	kylberg	PROPN
ajst-21764	62	23	)	)	PUNCT
ajst-21764	62	24	with	with	ADP
ajst-21764	62	25	representative	representative	ADJ
ajst-21764	62	26	texture	texture	ADJ
ajst-21764	62	27	classification	classification	NOUN
ajst-21764	62	28	methods	method	NOUN
ajst-21764	62	29	.	.	PUNCT
ajst-21764	63	1	the	the	DET
ajst-21764	63	2	experimental	experimental	ADJ
ajst-21764	63	3	results	result	NOUN
ajst-21764	63	4	demonstrate	demonstrate	VERB
ajst-21764	63	5	that	that	SCONJ
ajst-21764	63	6	the	the	DET
ajst-21764	63	7	proposed	propose	VERB
ajst-21764	63	8	lenmp	lenmp	PROPN
ajst-21764	63	9	descriptor	descriptor	NOUN
ajst-21764	63	10	exhibits	exhibit	VERB
ajst-21764	63	11	favorable	favorable	ADJ
ajst-21764	63	12	classification	classification	NOUN
ajst-21764	63	13	performance	performance	NOUN
ajst-21764	63	14	and	and	CCONJ
ajst-21764	63	15	remains	remain	VERB
ajst-21764	63	16	competitive	competitive	ADJ
ajst-21764	63	17	compared	compare	VERB
ajst-21764	63	18	to	to	ADP
ajst-21764	63	19	the	the	DET
ajst-21764	63	20	latest	late	ADJ
ajst-21764	63	21	descriptors	descriptor	NOUN
ajst-21764	63	22	.	.	PUNCT
ajst-21764	64	1	the	the	DET
ajst-21764	64	2	specific	specific	ADJ
ajst-21764	64	3	organizational	organizational	ADJ
ajst-21764	64	4	framework	framework	NOUN
ajst-21764	64	5	of	of	ADP
ajst-21764	64	6	this	this	DET
ajst-21764	64	7	paper	paper	NOUN
ajst-21764	64	8	is	be	AUX
ajst-21764	64	9	as	as	SCONJ
ajst-21764	64	10	follows	follow	VERB
ajst-21764	64	11	.	.	PUNCT
ajst-21764	65	1	section	section	NOUN
ajst-21764	65	2	2	2	NUM
ajst-21764	65	3	introduces	introduce	VERB
ajst-21764	65	4	the	the	DET
ajst-21764	65	5	concepts	concept	NOUN
ajst-21764	65	6	of	of	ADP
ajst-21764	65	7	lbp	lbp	PROPN
ajst-21764	65	8	and	and	CCONJ
ajst-21764	65	9	clbp	clbp	PROPN
ajst-21764	65	10	.	.	PUNCT
ajst-21764	66	1	section	section	NOUN
ajst-21764	66	2	3	3	NUM
ajst-21764	66	3	elaborates	elaborate	VERB
ajst-21764	66	4	on	on	ADP
ajst-21764	66	5	the	the	DET
ajst-21764	66	6	lenmp	lenmp	PROPN
ajst-21764	66	7	method	method	NOUN
ajst-21764	66	8	.	.	PUNCT
ajst-21764	67	1	section	section	NOUN
ajst-21764	67	2	4	4	NUM
ajst-21764	67	3	evaluates	evaluate	VERB
ajst-21764	67	4	our	our	PRON
ajst-21764	67	5	approach	approach	NOUN
ajst-21764	67	6	and	and	CCONJ
ajst-21764	67	7	presents	present	VERB
ajst-21764	67	8	the	the	DET
ajst-21764	67	9	comparative	comparative	ADJ
ajst-21764	67	10	experimental	experimental	ADJ
ajst-21764	67	11	results	result	NOUN
ajst-21764	67	12	of	of	ADP
ajst-21764	67	13	lenmp	lenmp	NOUN
ajst-21764	67	14	with	with	ADP
ajst-21764	67	15	various	various	ADJ
ajst-21764	67	16	descriptors	descriptor	NOUN
ajst-21764	67	17	.	.	PUNCT
ajst-21764	68	1	section	section	NOUN
ajst-21764	68	2	5	5	NUM
ajst-21764	68	3	summarizes	summarize	NOUN
ajst-21764	68	4	the	the	DET
ajst-21764	68	5	proposed	propose	VERB
ajst-21764	68	6	method	method	NOUN
ajst-21764	68	7	and	and	CCONJ
ajst-21764	68	8	provides	provide	VERB
ajst-21764	68	9	a	a	DET
ajst-21764	68	10	concluding	concluding	NOUN
ajst-21764	68	11	analysis	analysis	NOUN
ajst-21764	68	12	.	.	PUNCT
ajst-21764	69	1	2	2	X
ajst-21764	69	2	.	.	X
ajst-21764	69	3	related	relate	VERB
ajst-21764	69	4	work	work	NOUN
ajst-21764	69	5	the	the	DET
ajst-21764	69	6	lbp	lbp	NOUN
ajst-21764	69	7	operator	operator	NOUN
ajst-21764	69	8	operates	operate	VERB
ajst-21764	69	9	within	within	ADP
ajst-21764	69	10	a	a	DET
ajst-21764	69	11	3x3	3x3	NUM
ajst-21764	69	12	square	square	ADJ
ajst-21764	69	13	vicinity	vicinity	NOUN
ajst-21764	69	14	,	,	PUNCT
ajst-21764	69	15	where	where	SCONJ
ajst-21764	69	16	the	the	DET
ajst-21764	69	17	grayscale	grayscale	NOUN
ajst-21764	69	18	value	value	NOUN
ajst-21764	69	19	of	of	ADP
ajst-21764	69	20	the	the	DET
ajst-21764	69	21	central	central	ADJ
ajst-21764	69	22	pixel	pixel	NOUN
ajst-21764	69	23	in	in	ADP
ajst-21764	69	24	the	the	DET
ajst-21764	69	25	window	window	NOUN
ajst-21764	69	26	acts	act	VERB
ajst-21764	69	27	as	as	ADP
ajst-21764	69	28	the	the	DET
ajst-21764	69	29	threshold	threshold	NOUN
ajst-21764	69	30	.	.	PUNCT
ajst-21764	70	1	it	it	PRON
ajst-21764	70	2	assesses	assess	VERB
ajst-21764	70	3	the	the	DET
ajst-21764	70	4	grayscale	grayscale	NOUN
ajst-21764	70	5	values	value	NOUN
ajst-21764	70	6	of	of	ADP
ajst-21764	70	7	the	the	DET
ajst-21764	70	8	eight	eight	NUM
ajst-21764	70	9	adjacent	adjacent	ADJ
ajst-21764	70	10	pixels	pixel	NOUN
ajst-21764	70	11	surrounding	surround	VERB
ajst-21764	70	12	the	the	DET
ajst-21764	70	13	central	central	ADJ
ajst-21764	70	14	pixel	pixel	NOUN
ajst-21764	70	15	.	.	PUNCT
ajst-21764	71	1	if	if	SCONJ
ajst-21764	71	2	a	a	DET
ajst-21764	71	3	neighboring	neighboring	NOUN
ajst-21764	71	4	pixel	pixel	NOUN
ajst-21764	71	5	's	's	PART
ajst-21764	71	6	grayscale	grayscale	NOUN
ajst-21764	71	7	value	value	NOUN
ajst-21764	71	8	equals	equal	VERB
ajst-21764	71	9	or	or	CCONJ
ajst-21764	71	10	surpasses	surpasse	NOUN
ajst-21764	71	11	that	that	PRON
ajst-21764	71	12	of	of	ADP
ajst-21764	71	13	the	the	DET
ajst-21764	71	14	central	central	ADJ
ajst-21764	71	15	pixel	pixel	NOUN
ajst-21764	71	16	,	,	PUNCT
ajst-21764	71	17	it	it	PRON
ajst-21764	71	18	is	be	AUX
ajst-21764	71	19	denoted	denote	VERB
ajst-21764	71	20	as	as	ADP
ajst-21764	71	21	1	1	NUM
ajst-21764	71	22	;	;	PUNCT
ajst-21764	71	23	otherwise	otherwise	ADV
ajst-21764	71	24	,	,	PUNCT
ajst-21764	71	25	it	it	PRON
ajst-21764	71	26	is	be	AUX
ajst-21764	71	27	designated	designate	VERB
ajst-21764	71	28	as	as	ADP
ajst-21764	71	29	0	0	NUM
ajst-21764	71	30	.	.	PUNCT
ajst-21764	72	1	this	this	DET
ajst-21764	72	2	procedure	procedure	NOUN
ajst-21764	72	3	is	be	AUX
ajst-21764	72	4	conducted	conduct	VERB
ajst-21764	72	5	either	either	CCONJ
ajst-21764	72	6	clockwise	clockwise	NOUN
ajst-21764	72	7	or	or	CCONJ
ajst-21764	72	8	counterclockwise	counterclockwise	NOUN
ajst-21764	72	9	,	,	PUNCT
ajst-21764	72	10	yielding	yield	VERB
ajst-21764	72	11	a	a	DET
ajst-21764	72	12	binary	binary	ADJ
ajst-21764	72	13	sequence	sequence	NOUN
ajst-21764	72	14	,	,	PUNCT
ajst-21764	72	15	subsequently	subsequently	ADV
ajst-21764	72	16	translated	translate	VERB
ajst-21764	72	17	into	into	ADP
ajst-21764	72	18	a	a	DET
ajst-21764	72	19	decimal	decimal	ADJ
ajst-21764	72	20	figure	figure	NOUN
ajst-21764	72	21	,	,	PUNCT
ajst-21764	72	22	known	know	VERB
ajst-21764	72	23	as	as	ADP
ajst-21764	72	24	the	the	DET
ajst-21764	72	25	lbp	lbp	PROPN
ajst-21764	72	26	code	code	PROPN
ajst-21764	72	27	.	.	PUNCT
ajst-21764	73	1			NOUN
ajst-21764	73	2			PROPN
ajst-21764	73	3	1	1	NUM
ajst-21764	73	4	,	,	PUNCT
ajst-21764	73	5	0	0	NUM
ajst-21764	73	6	2	2	NUM
ajst-21764	74	1	p	p	NOUN
ajst-21764	74	2	p	p	X
ajst-21764	74	3	p	p	NOUN
ajst-21764	74	4	r	r	NOUN
ajst-21764	74	5	p	p	NOUN
ajst-21764	74	6	c	c	PROPN
ajst-21764	74	7	p	p	PROPN
ajst-21764	74	8	lbp	lbp	PROPN
ajst-21764	74	9	s	s	PART
ajst-21764	74	10	g	g	PROPN
ajst-21764	74	11	g	g	PROPN
ajst-21764	74	12			PROPN
ajst-21764	74	13			NUM
ajst-21764	74	14			NUM
ajst-21764	75	1			X
ajst-21764	75	2	(	(	PUNCT
ajst-21764	75	3	1	1	NUM
ajst-21764	75	4	)	)	PUNCT
ajst-21764	75	5	1	1	NUM
ajst-21764	75	6	,	,	PUNCT
ajst-21764	75	7	0	0	NUM
ajst-21764	75	8	(	(	PUNCT
ajst-21764	75	9	)	)	PUNCT
ajst-21764	75	10	0	0	NUM
ajst-21764	75	11	,	,	PUNCT
ajst-21764	75	12	0	0	NUM
ajst-21764	75	13	x	x	SYM
ajst-21764	75	14	s	s	X
ajst-21764	75	15	x	x	X
ajst-21764	75	16	x	x	SYM
ajst-21764	75	17			NOUN
ajst-21764	75	18			NOUN
ajst-21764	75	19			NUM
ajst-21764	75	20			NOUN
ajst-21764	75	21	(	(	PUNCT
ajst-21764	75	22	2	2	NUM
ajst-21764	75	23	)	)	PUNCT
ajst-21764	75	24	where	where	SCONJ
ajst-21764	75	25	c	c	PROPN
ajst-21764	75	26	g	g	PROPN
ajst-21764	75	27	represents	represent	VERB
ajst-21764	75	28	the	the	DET
ajst-21764	75	29	grayscale	grayscale	NOUN
ajst-21764	75	30	value	value	NOUN
ajst-21764	75	31	of	of	ADP
ajst-21764	75	32	the	the	DET
ajst-21764	75	33	center	center	NOUN
ajst-21764	75	34	pixel	pixel	NOUN
ajst-21764	75	35	,	,	PUNCT
ajst-21764	75	36	p	p	DET
ajst-21764	75	37	g	g	NOUN
ajst-21764	75	38	represents	represent	VERB
ajst-21764	75	39	the	the	DET
ajst-21764	75	40	grayscale	grayscale	NOUN
ajst-21764	75	41	value	value	NOUN
ajst-21764	75	42	of	of	ADP
ajst-21764	75	43	the	the	DET
ajst-21764	75	44	surrounding	surround	VERB
ajst-21764	75	45	neighboring	neighboring	NOUN
ajst-21764	75	46	pixels	pixel	NOUN
ajst-21764	75	47	.	.	PUNCT
ajst-21764	76	1	the	the	DET
ajst-21764	76	2	major	major	ADJ
ajst-21764	76	3	difference	difference	NOUN
ajst-21764	76	4	between	between	ADP
ajst-21764	76	5	clbp	clbp	PROPN
ajst-21764	76	6	and	and	CCONJ
ajst-21764	76	7	the	the	DET
ajst-21764	76	8	original	original	ADJ
ajst-21764	76	9	lbp	lbp	NOUN
ajst-21764	76	10	lies	lie	VERB
ajst-21764	76	11	in	in	ADP
ajst-21764	76	12	the	the	DET
ajst-21764	76	13	proposal	proposal	NOUN
ajst-21764	76	14	of	of	ADP
ajst-21764	76	15	three	three	NUM
ajst-21764	76	16	different	different	ADJ
ajst-21764	76	17	descriptors	descriptor	NOUN
ajst-21764	76	18	,	,	PUNCT
ajst-21764	76	19	namely	namely	ADV
ajst-21764	76	20	clbp_s	clbp_s	NOUN
ajst-21764	76	21	,	,	PUNCT
ajst-21764	76	22	clbp_m	clbp_m	NOUN
ajst-21764	76	23	,	,	PUNCT
ajst-21764	76	24	and	and	CCONJ
ajst-21764	76	25	clbp_c	clbp_c	X
ajst-21764	76	26	.	.	PUNCT
ajst-21764	77	1	the	the	DET
ajst-21764	77	2	clbp_s	clbp_s	NOUN
ajst-21764	77	3	descriptor	descriptor	NOUN
ajst-21764	77	4	corresponds	correspond	VERB
ajst-21764	77	5	to	to	ADP
ajst-21764	77	6	the	the	DET
ajst-21764	77	7	original	original	ADJ
ajst-21764	77	8	lbp	lbp	NOUN
ajst-21764	77	9	descriptor	descriptor	NOUN
ajst-21764	77	10	delineated	delineate	VERB
ajst-21764	77	11	in	in	ADP
ajst-21764	77	12	equation	equation	NOUN
ajst-21764	77	13	(	(	PUNCT
ajst-21764	77	14	1	1	NUM
ajst-21764	77	15	)	)	PUNCT
ajst-21764	77	16	.	.	PUNCT
ajst-21764	78	1	clbp_m	clbp_m	PROPN
ajst-21764	78	2	is	be	AUX
ajst-21764	78	3	defined	define	VERB
ajst-21764	78	4	as	as	SCONJ
ajst-21764	78	5	follows	follow	VERB
ajst-21764	78	6	:	:	PUNCT
ajst-21764	78	7			NOUN
ajst-21764	78	8			PROPN
ajst-21764	78	9	1	1	NUM
ajst-21764	78	10	,	,	PUNCT
ajst-21764	78	11	0	0	NUM
ajst-21764	79	1	_	_	NOUN
ajst-21764	79	2	,	,	PUNCT
ajst-21764	79	3	2	2	NUM
ajst-21764	79	4	p	p	NOUN
ajst-21764	79	5	p	p	NOUN
ajst-21764	79	6	r	r	NOUN
ajst-21764	79	7	p	p	PROPN
ajst-21764	79	8	p	p	PROPN
ajst-21764	79	9	p	p	PROPN
ajst-21764	79	10	clbp	clbp	PROPN
ajst-21764	79	11	m	m	PROPN
ajst-21764	79	12	s	s	NOUN
ajst-21764	79	13	m	m	PROPN
ajst-21764	79	14	c	c	NOUN
ajst-21764	79	15			NOUN
ajst-21764	79	16			ADV
ajst-21764	79	17			NUM
ajst-21764	79	18			X
ajst-21764	79	19	(	(	PUNCT
ajst-21764	79	20	3	3	NUM
ajst-21764	79	21	)	)	PUNCT
ajst-21764	79	22	1	1	NUM
ajst-21764	79	23	,	,	PUNCT
ajst-21764	79	24	(	(	PUNCT
ajst-21764	79	25	,	,	PUNCT
ajst-21764	79	26	)	)	PUNCT
ajst-21764	79	27	0	0	NUM
ajst-21764	79	28	,	,	PUNCT
ajst-21764	79	29	x	x	PUNCT
ajst-21764	79	30	c	c	NOUN
ajst-21764	79	31	s	s	PART
ajst-21764	79	32	x	x	X
ajst-21764	79	33	c	c	NOUN
ajst-21764	79	34	x	x	SYM
ajst-21764	79	35	c	c	NOUN
ajst-21764	79	36			PROPN
ajst-21764	79	37			PROPN
ajst-21764	79	38			NUM
ajst-21764	79	39			NOUN
ajst-21764	79	40	(	(	PUNCT
ajst-21764	79	41	4	4	NUM
ajst-21764	79	42	)	)	PUNCT
ajst-21764	79	43	where	where	SCONJ
ajst-21764	79	44	ic	ic	PRON
ajst-21764	79	45	represents	represent	VERB
ajst-21764	79	46	the	the	DET
ajst-21764	79	47	average	average	ADJ
ajst-21764	79	48	value	value	NOUN
ajst-21764	79	49	of	of	ADP
ajst-21764	79	50	the	the	DET
ajst-21764	79	51	complete	complete	ADJ
ajst-21764	79	52	image	image	NOUN
ajst-21764	79	53	.	.	PUNCT
ajst-21764	80	1	clbp_c	clbp_c	PROPN
ajst-21764	81	1	encodes	encode	VERB
ajst-21764	81	2	the	the	DET
ajst-21764	81	3	central	central	ADJ
ajst-21764	81	4	pixel	pixel	NOUN
ajst-21764	81	5	,	,	PUNCT
ajst-21764	81	6	defined	define	VERB
ajst-21764	81	7	as	as	ADP
ajst-21764	81	8	:	:	PUNCT
ajst-21764	81	9			NOUN
ajst-21764	81	10			PROPN
ajst-21764	81	11	1	1	NUM
ajst-21764	81	12	,	,	PUNCT
ajst-21764	81	13	0	0	NUM
ajst-21764	82	1	_	_	PUNCT
ajst-21764	83	1	p	p	NOUN
ajst-21764	83	2	r	r	NOUN
ajst-21764	84	1	p	p	NOUN
ajst-21764	84	2	c	c	NOUN
ajst-21764	85	1	i	i	PRON
ajst-21764	85	2	p	p	PROPN
ajst-21764	85	3	clbp	clbp	PROPN
ajst-21764	86	1	c	c	PROPN
ajst-21764	86	2	s	s	PROPN
ajst-21764	86	3	g	g	PROPN
ajst-21764	86	4	c	c	PROPN
ajst-21764	86	5			PROPN
ajst-21764	86	6			PROPN
ajst-21764	86	7			NUM
ajst-21764	87	1			X
ajst-21764	87	2	(	(	PUNCT
ajst-21764	87	3	5	5	NUM
ajst-21764	87	4	)	)	PUNCT
ajst-21764	87	5	where	where	SCONJ
ajst-21764	87	6	ic	ic	PRON
ajst-21764	87	7	represents	represent	VERB
ajst-21764	87	8	the	the	DET
ajst-21764	87	9	mean	mean	ADJ
ajst-21764	87	10	grayscale	grayscale	NOUN
ajst-21764	87	11	magnitude	magnitude	NOUN
ajst-21764	87	12	of	of	ADP
ajst-21764	87	13	all	all	DET
ajst-21764	87	14	pixels	pixel	NOUN
ajst-21764	87	15	across	across	ADP
ajst-21764	87	16	the	the	DET
ajst-21764	87	17	image	image	NOUN
ajst-21764	87	18	.	.	PUNCT
ajst-21764	88	1	clbp_s	clbp_s	NOUN
ajst-21764	88	2	,	,	PUNCT
ajst-21764	88	3	clbp_m	clbp_m	NOUN
ajst-21764	88	4	,	,	PUNCT
ajst-21764	88	5	and	and	CCONJ
ajst-21764	88	6	clbp_c	clbp_c	PROPN
ajst-21764	88	7	can	can	AUX
ajst-21764	88	8	all	all	ADV
ajst-21764	88	9	generate	generate	VERB
ajst-21764	88	10	binary	binary	ADJ
ajst-21764	88	11	codes	code	NOUN
ajst-21764	88	12	,	,	PUNCT
ajst-21764	88	13	and	and	CCONJ
ajst-21764	88	14	combining	combine	VERB
ajst-21764	88	15	them	they	PRON
ajst-21764	88	16	enhances	enhance	VERB
ajst-21764	88	17	texture	texture	ADJ
ajst-21764	88	18	classification	classification	NOUN
ajst-21764	88	19	accuracy	accuracy	NOUN
ajst-21764	88	20	while	while	SCONJ
ajst-21764	88	21	also	also	ADV
ajst-21764	88	22	providing	provide	VERB
ajst-21764	88	23	robustness	robustness	NOUN
ajst-21764	88	24	against	against	ADP
ajst-21764	88	25	illumination	illumination	NOUN
ajst-21764	88	26	and	and	CCONJ
ajst-21764	88	27	noise	noise	NOUN
ajst-21764	88	28	.	.	PUNCT
ajst-21764	89	1	3	3	X
ajst-21764	89	2	.	.	X
ajst-21764	89	3	local	local	ADJ
ajst-21764	89	4	enhancement	enhancement	NOUN
ajst-21764	89	5	and	and	CCONJ
ajst-21764	89	6	non	non	ADJ
ajst-21764	89	7	-	-	ADJ
ajst-21764	89	8	local	local	ADJ
ajst-21764	89	9	median	median	ADJ
ajst-21764	89	10	pattern	pattern	NOUN
ajst-21764	89	11	(	(	PUNCT
ajst-21764	89	12	lenmp	lenmp	PROPN
ajst-21764	89	13	)	)	PUNCT
ajst-21764	89	14	in	in	ADP
ajst-21764	89	15	this	this	DET
ajst-21764	89	16	section	section	NOUN
ajst-21764	89	17	,	,	PUNCT
ajst-21764	89	18	we	we	PRON
ajst-21764	89	19	offer	offer	VERB
ajst-21764	89	20	a	a	DET
ajst-21764	89	21	comprehensive	comprehensive	ADJ
ajst-21764	89	22	overview	overview	NOUN
ajst-21764	89	23	of	of	ADP
ajst-21764	89	24	our	our	PRON
ajst-21764	89	25	proposed	propose	VERB
ajst-21764	89	26	lenmp	lenmp	PROPN
ajst-21764	89	27	descriptor	descriptor	NOUN
ajst-21764	89	28	.	.	PUNCT
ajst-21764	90	1	the	the	DET
ajst-21764	90	2	central	central	ADJ
ajst-21764	90	3	idea	idea	NOUN
ajst-21764	90	4	of	of	ADP
ajst-21764	90	5	lenmp	lenmp	PROPN
ajst-21764	90	6	is	be	AUX
ajst-21764	90	7	as	as	SCONJ
ajst-21764	90	8	follows	follow	VERB
ajst-21764	90	9	:	:	PUNCT
ajst-21764	90	10	firstly	firstly	ADV
ajst-21764	90	11	,	,	PUNCT
ajst-21764	90	12	preprocess	preprocess	VERB
ajst-21764	90	13	the	the	DET
ajst-21764	90	14	image	image	NOUN
ajst-21764	90	15	using	use	VERB
ajst-21764	90	16	thace	thace	NOUN
ajst-21764	90	17	and	and	CCONJ
ajst-21764	90	18	median	median	ADJ
ajst-21764	90	19	filtering	filtering	NOUN
ajst-21764	90	20	.	.	PUNCT
ajst-21764	91	1	next	next	ADV
ajst-21764	91	2	,	,	PUNCT
ajst-21764	91	3	the	the	DET
ajst-21764	91	4	lep	lep	PROPN
ajst-21764	91	5	operator	operator	NOUN
ajst-21764	91	6	captures	capture	VERB
ajst-21764	91	7	the	the	DET
ajst-21764	91	8	sign	sign	NOUN
ajst-21764	91	9	and	and	CCONJ
ajst-21764	91	10	magnitude	magnitude	NOUN
ajst-21764	91	11	details	detail	NOUN
ajst-21764	91	12	of	of	ADP
ajst-21764	91	13	local	local	ADJ
ajst-21764	91	14	image	image	NOUN
ajst-21764	91	15	characteristics	characteristic	NOUN
ajst-21764	91	16	then	then	ADV
ajst-21764	91	17	,	,	PUNCT
ajst-21764	91	18	the	the	DET
ajst-21764	91	19	nmbp	nmbp	NOUN
ajst-21764	91	20	operator	operator	NOUN
ajst-21764	91	21	extracts	extract	VERB
ajst-21764	91	22	the	the	DET
ajst-21764	91	23	global	global	ADJ
ajst-21764	91	24	information	information	NOUN
ajst-21764	91	25	of	of	ADP
ajst-21764	91	26	image	image	NOUN
ajst-21764	91	27	features	feature	NOUN
ajst-21764	91	28	.	.	PUNCT
ajst-21764	92	1	finally	finally	ADV
ajst-21764	92	2	,	,	PUNCT
ajst-21764	92	3	the	the	DET
ajst-21764	92	4	joint	joint	ADJ
ajst-21764	92	5	histogram	histogram	NOUN
ajst-21764	92	6	generated	generate	VERB
ajst-21764	92	7	by	by	ADP
ajst-21764	92	8	combining	combine	VERB
ajst-21764	92	9	the	the	DET
ajst-21764	92	10	two	two	NUM
ajst-21764	92	11	operators	operator	NOUN
ajst-21764	92	12	forms	form	VERB
ajst-21764	92	13	the	the	DET
ajst-21764	92	14	joint	joint	ADJ
ajst-21764	92	15	encoding	encoding	NOUN
ajst-21764	92	16	for	for	ADP
ajst-21764	92	17	texture	texture	ADJ
ajst-21764	92	18	representation	representation	NOUN
ajst-21764	92	19	of	of	ADP
ajst-21764	92	20	lenmp	lenmp	PROPN
ajst-21764	92	21	.	.	PUNCT
ajst-21764	93	1	3.1	3.1	NUM
ajst-21764	93	2	.	.	PUNCT
ajst-21764	94	1	local	local	ADJ
ajst-21764	94	2	adaptive	adaptive	ADJ
ajst-21764	94	3	contrast	contrast	NOUN
ajst-21764	94	4	enhancement	enhancement	NOUN
ajst-21764	94	5	pattern(lep	pattern(lep	NOUN
ajst-21764	94	6	)	)	PUNCT
ajst-21764	94	7	the	the	DET
ajst-21764	94	8	original	original	ADJ
ajst-21764	94	9	lbp	lbp	NOUN
ajst-21764	94	10	and	and	CCONJ
ajst-21764	94	11	its	its	PRON
ajst-21764	94	12	variants	variant	NOUN
ajst-21764	94	13	mostly	mostly	ADV
ajst-21764	94	14	focus	focus	VERB
ajst-21764	94	15	on	on	ADP
ajst-21764	94	16	extracting	extract	VERB
ajst-21764	94	17	local	local	ADJ
ajst-21764	94	18	feature	feature	NOUN
ajst-21764	94	19	information	information	NOUN
ajst-21764	94	20	,	,	PUNCT
ajst-21764	94	21	which	which	PRON
ajst-21764	94	22	may	may	AUX
ajst-21764	94	23	result	result	VERB
ajst-21764	94	24	in	in	ADP
ajst-21764	94	25	the	the	DET
ajst-21764	94	26	omission	omission	NOUN
ajst-21764	94	27	of	of	ADP
ajst-21764	94	28	numerous	numerous	ADJ
ajst-21764	94	29	texture	texture	ADJ
ajst-21764	94	30	details	detail	NOUN
ajst-21764	94	31	.	.	PUNCT
ajst-21764	95	1	while	while	SCONJ
ajst-21764	95	2	clbp	clbp	PROPN
ajst-21764	95	3	aims	aim	VERB
ajst-21764	95	4	to	to	PART
ajst-21764	95	5	extract	extract	VERB
ajst-21764	95	6	more	more	ADJ
ajst-21764	95	7	texture	texture	ADJ
ajst-21764	95	8	information	information	NOUN
ajst-21764	95	9	,	,	PUNCT
ajst-21764	95	10	it	it	PRON
ajst-21764	95	11	is	be	AUX
ajst-21764	95	12	highly	highly	ADV
ajst-21764	95	13	sensitive	sensitive	ADJ
ajst-21764	95	14	to	to	ADP
ajst-21764	95	15	noise	noise	NOUN
ajst-21764	95	16	.	.	PUNCT
ajst-21764	96	1	inspired	inspire	VERB
ajst-21764	96	2	by	by	ADP
ajst-21764	96	3	clbp	clbp	PROPN
ajst-21764	96	4	,	,	PUNCT
ajst-21764	96	5	to	to	PART
ajst-21764	96	6	extract	extract	VERB
ajst-21764	96	7	more	more	ADV
ajst-21764	96	8	detailed	detailed	ADJ
ajst-21764	96	9	information	information	NOUN
ajst-21764	96	10	,	,	PUNCT
ajst-21764	96	11	we	we	PRON
ajst-21764	96	12	propose	propose	VERB
ajst-21764	96	13	the	the	DET
ajst-21764	96	14	local	local	ADJ
ajst-21764	96	15	adaptive	adaptive	ADJ
ajst-21764	96	16	contrast	contrast	NOUN
ajst-21764	96	17	enhancement	enhancement	NOUN
ajst-21764	96	18	pattern	pattern	NOUN
ajst-21764	96	19	(	(	PUNCT
ajst-21764	96	20	lep	lep	PROPN
ajst-21764	96	21	)	)	PUNCT
ajst-21764	96	22	.	.	PUNCT
ajst-21764	97	1	lep	lep	PROPN
ajst-21764	97	2	utilizes	utilize	VERB
ajst-21764	97	3	thace	thace	NOUN
ajst-21764	97	4	to	to	PART
ajst-21764	97	5	enhance	enhance	VERB
ajst-21764	97	6	the	the	DET
ajst-21764	97	7	contrast	contrast	NOUN
ajst-21764	97	8	of	of	ADP
ajst-21764	97	9	highfrequency	highfrequency	NOUN
ajst-21764	97	10	information	information	NOUN
ajst-21764	97	11	in	in	ADP
ajst-21764	97	12	the	the	DET
ajst-21764	97	13	image	image	NOUN
ajst-21764	97	14	,	,	PUNCT
ajst-21764	97	15	magnifying	magnify	VERB
ajst-21764	97	16	it	it	PRON
ajst-21764	97	17	to	to	PART
ajst-21764	97	18	extract	extract	VERB
ajst-21764	97	19	more	more	ADJ
ajst-21764	97	20	edge	edge	NOUN
ajst-21764	97	21	contour	contour	NOUN
ajst-21764	97	22	detail	detail	NOUN
ajst-21764	97	23	information	information	NOUN
ajst-21764	97	24	,	,	PUNCT
ajst-21764	97	25	while	while	SCONJ
ajst-21764	97	26	also	also	ADV
ajst-21764	97	27	improving	improve	VERB
ajst-21764	97	28	robustness	robustness	NOUN
ajst-21764	97	29	to	to	ADP
ajst-21764	97	30	noise	noise	NOUN
ajst-21764	97	31	.	.	PUNCT
ajst-21764	98	1	lep	lep	PROPN
ajst-21764	98	2	consists	consist	VERB
ajst-21764	98	3	of	of	ADP
ajst-21764	98	4	two	two	NUM
ajst-21764	98	5	operators	operator	NOUN
ajst-21764	98	6	:	:	PUNCT
ajst-21764	98	7	lep_s	lep_s	ADJ
ajst-21764	98	8	and	and	CCONJ
ajst-21764	98	9	lep_m	lep_m	PROPN
ajst-21764	98	10	,	,	PUNCT
ajst-21764	98	11	which	which	PRON
ajst-21764	98	12	extract	extract	VERB
ajst-21764	98	13	sign	sign	NOUN
ajst-21764	98	14	and	and	CCONJ
ajst-21764	98	15	amplitude	amplitude	NOUN
ajst-21764	98	16	information	information	NOUN
ajst-21764	98	17	,	,	PUNCT
ajst-21764	98	18	respectively	respectively	ADV
ajst-21764	98	19	.	.	PUNCT
ajst-21764	99	1	the	the	DET
ajst-21764	99	2	definition	definition	NOUN
ajst-21764	99	3	of	of	ADP
ajst-21764	99	4	the	the	DET
ajst-21764	99	5	lep_s	lep_s	NOUN
ajst-21764	99	6	is	be	AUX
ajst-21764	99	7	as	as	SCONJ
ajst-21764	99	8	follows	follow	VERB
ajst-21764	99	9	:	:	PUNCT
ajst-21764	99	10	𝐿𝐸𝑃_𝑆	𝐿𝐸𝑃_𝑆	PROPN
ajst-21764	99	11	∑	∑	PUNCT
ajst-21764	99	12	𝑠	𝑠	PROPN
ajst-21764	99	13	𝑔	𝑔	PROPN
ajst-21764	99	14	𝑔	𝑔	PROPN
ajst-21764	99	15	,	,	PUNCT
ajst-21764	99	16	,	,	PUNCT
ajst-21764	99	17	𝑠	𝑠	PROPN
ajst-21764	99	18	𝑥	𝑥	PROPN
ajst-21764	99	19	1	1	NUM
ajst-21764	99	20	,	,	PUNCT
ajst-21764	99	21	𝑥	𝑥	PRON
ajst-21764	99	22	0	0	NUM
ajst-21764	99	23	0	0	NUM
ajst-21764	99	24	,	,	PUNCT
ajst-21764	99	25	𝑥	𝑥	NOUN
ajst-21764	99	26	0	0	NUM
ajst-21764	99	27	(	(	PUNCT
ajst-21764	99	28	6	6	NUM
ajst-21764	99	29	)	)	PUNCT
ajst-21764	99	30	where	where	SCONJ
ajst-21764	99	31	𝑔	𝑔	PROPN
ajst-21764	99	32	represents	represent	VERB
ajst-21764	99	33	the	the	DET
ajst-21764	99	34	median	median	ADJ
ajst-21764	99	35	grayscale	grayscale	NOUN
ajst-21764	99	36	magnitude	magnitude	NOUN
ajst-21764	99	37	of	of	ADP
ajst-21764	99	38	the	the	DET
ajst-21764	99	39	central	central	ADJ
ajst-21764	99	40	pixel	pixel	NOUN
ajst-21764	99	41	,	,	PUNCT
ajst-21764	99	42	𝑔	𝑔	PROPN
ajst-21764	99	43	,	,	PUNCT
ajst-21764	99	44	represents	represent	VERB
ajst-21764	99	45	the	the	DET
ajst-21764	99	46	median	median	ADJ
ajst-21764	99	47	grayscale	grayscale	NOUN
ajst-21764	99	48	magnitude	magnitude	NOUN
ajst-21764	99	49	of	of	ADP
ajst-21764	99	50	the	the	DET
ajst-21764	99	51	neighboring	neighboring	NOUN
ajst-21764	99	52	pixels	pixel	NOUN
ajst-21764	99	53	,	,	PUNCT
ajst-21764	99	54	and	and	CCONJ
ajst-21764	99	55	p	p	NOUN
ajst-21764	99	56	denotes	denote	VERB
ajst-21764	99	57	the	the	DET
ajst-21764	99	58	quantity	quantity	NOUN
ajst-21764	99	59	of	of	ADP
ajst-21764	99	60	pixels	pixel	NOUN
ajst-21764	99	61	.	.	PUNCT
ajst-21764	100	1	after	after	ADP
ajst-21764	100	2	enhancing	enhance	VERB
ajst-21764	100	3	the	the	DET
ajst-21764	100	4	image	image	NOUN
ajst-21764	100	5	with	with	ADP
ajst-21764	100	6	thace	thace	NOUN
ajst-21764	100	7	,	,	PUNCT
ajst-21764	100	8	the	the	DET
ajst-21764	100	9	local	local	ADJ
ajst-21764	100	10	lep	lep	PROPN
ajst-21764	100	11	substitutes	substitute	VERB
ajst-21764	100	12	the	the	DET
ajst-21764	100	13	grayscale	grayscale	NOUN
ajst-21764	100	14	intensity	intensity	NOUN
ajst-21764	100	15	of	of	ADP
ajst-21764	100	16	each	each	DET
ajst-21764	100	17	pixel	pixel	NOUN
ajst-21764	100	18	with	with	ADP
ajst-21764	100	19	the	the	DET
ajst-21764	100	20	median	median	NOUN
ajst-21764	100	21	of	of	ADP
ajst-21764	100	22	the	the	DET
ajst-21764	100	23	neighboring	neighboring	NOUN
ajst-21764	100	24	pixels	pixel	NOUN
ajst-21764	100	25	within	within	ADP
ajst-21764	100	26	the	the	DET
ajst-21764	100	27	local	local	ADJ
ajst-21764	100	28	image	image	NOUN
ajst-21764	100	29	block	block	NOUN
ajst-21764	100	30	.	.	PUNCT
ajst-21764	101	1	the	the	DET
ajst-21764	101	2	definition	definition	NOUN
ajst-21764	101	3	of	of	ADP
ajst-21764	101	4	the	the	DET
ajst-21764	101	5	amplitude	amplitude	NOUN
ajst-21764	101	6	pattern	pattern	NOUN
ajst-21764	101	7	lep_m	lep_m	NOUN
ajst-21764	101	8	is	be	AUX
ajst-21764	101	9	as	as	SCONJ
ajst-21764	101	10	follows	follow	VERB
ajst-21764	101	11	:	:	PUNCT
ajst-21764	101	12	𝐿𝐸𝑃_𝑀	𝐿𝐸𝑃_𝑀	NOUN
ajst-21764	101	13	∑	∑	PUNCT
ajst-21764	101	14	𝑠	𝑠	PROPN
ajst-21764	101	15	𝑀	𝑀	PROPN
ajst-21764	101	16	,	,	PUNCT
ajst-21764	101	17	𝑐	𝑐	PROPN
ajst-21764	101	18	2	2	NUM
ajst-21764	101	19	(	(	PUNCT
ajst-21764	101	20	7	7	NUM
ajst-21764	101	21	)	)	PUNCT
ajst-21764	101	22	where	where	SCONJ
ajst-21764	101	23	𝑀	𝑀	PROPN
ajst-21764	101	24	𝑔	𝑔	PROPN
ajst-21764	101	25	𝑔	𝑔	PROPN
ajst-21764	101	26	represents	represent	VERB
ajst-21764	101	27	the	the	DET
ajst-21764	101	28	median	median	NOUN
ajst-21764	101	29	of	of	ADP
ajst-21764	101	30	the	the	DET
ajst-21764	101	31	absolute	absolute	ADJ
ajst-21764	101	32	the	the	DET
ajst-21764	101	33	variation	variation	NOUN
ajst-21764	101	34	in	in	ADP
ajst-21764	101	35	the	the	DET
ajst-21764	101	36	neighboring	neighboring	NOUN
ajst-21764	101	37	pixel	pixel	PROPN
ajst-21764	101	38	value	value	NOUN
ajst-21764	101	39	𝑔	𝑔	PROPN
ajst-21764	101	40	and	and	CCONJ
ajst-21764	101	41	the	the	DET
ajst-21764	101	42	central	central	ADJ
ajst-21764	101	43	pixel	pixel	PROPN
ajst-21764	101	44	value	value	NOUN
ajst-21764	101	45	𝑔	𝑔	PROPN
ajst-21764	101	46	,	,	PUNCT
ajst-21764	101	47	and	and	CCONJ
ajst-21764	101	48	c	c	PROPN
ajst-21764	101	49	represents	represent	VERB
ajst-21764	101	50	the	the	DET
ajst-21764	101	51	mean	mean	ADJ
ajst-21764	101	52	value	value	NOUN
ajst-21764	101	53	of	of	ADP
ajst-21764	101	54	𝑀	𝑀	PROPN
ajst-21764	101	55	across	across	ADP
ajst-21764	101	56	the	the	DET
ajst-21764	101	57	entire	entire	ADJ
ajst-21764	101	58	image	image	NOUN
ajst-21764	101	59	.	.	PUNCT
ajst-21764	102	1	this	this	DET
ajst-21764	102	2	value	value	NOUN
ajst-21764	102	3	follows	follow	VERB
ajst-21764	102	4	the	the	DET
ajst-21764	102	5	encoding	encoding	NOUN
ajst-21764	102	6	method	method	NOUN
ajst-21764	102	7	of	of	ADP
ajst-21764	102	8	clbp	clbp	NOUN
ajst-21764	102	9	,	,	PUNCT
ajst-21764	102	10	and	and	CCONJ
ajst-21764	102	11	𝑠	𝑠	X
ajst-21764	102	12	∙	∙	PROPN
ajst-21764	102	13	denotes	denote	VERB
ajst-21764	102	14	the	the	DET
ajst-21764	102	15	sign	sign	NOUN
ajst-21764	102	16	function	function	NOUN
ajst-21764	102	17	.	.	PUNCT
ajst-21764	103	1	90	90	NUM
ajst-21764	103	2	3.2	3.2	NUM
ajst-21764	103	3	.	.	PUNCT
ajst-21764	104	1	threshold	threshold	VERB
ajst-21764	104	2	adaptive	adaptive	ADJ
ajst-21764	104	3	contrast	contrast	NOUN
ajst-21764	104	4	enhancement	enhancement	NOUN
ajst-21764	104	5	(	(	PUNCT
ajst-21764	104	6	thace	thace	NOUN
ajst-21764	104	7	)	)	PUNCT
ajst-21764	104	8	in	in	ADP
ajst-21764	104	9	images	image	NOUN
ajst-21764	104	10	,	,	PUNCT
ajst-21764	104	11	useful	useful	ADJ
ajst-21764	104	12	texture	texture	ADJ
ajst-21764	104	13	information	information	NOUN
ajst-21764	104	14	often	often	ADV
ajst-21764	104	15	corresponds	correspond	VERB
ajst-21764	104	16	to	to	ADP
ajst-21764	104	17	high	high	ADJ
ajst-21764	104	18	-	-	PUNCT
ajst-21764	104	19	frequency	frequency	NOUN
ajst-21764	104	20	information	information	NOUN
ajst-21764	104	21	,	,	PUNCT
ajst-21764	104	22	which	which	PRON
ajst-21764	104	23	is	be	AUX
ajst-21764	104	24	more	more	ADV
ajst-21764	104	25	representative	representative	NOUN
ajst-21764	104	26	compared	compare	VERB
ajst-21764	104	27	to	to	ADP
ajst-21764	104	28	low	low	ADJ
ajst-21764	104	29	-	-	PUNCT
ajst-21764	104	30	frequency	frequency	NOUN
ajst-21764	104	31	information	information	NOUN
ajst-21764	104	32	.	.	PUNCT
ajst-21764	105	1	however	however	ADV
ajst-21764	105	2	,	,	PUNCT
ajst-21764	105	3	highfrequency	highfrequency	NOUN
ajst-21764	105	4	information	information	NOUN
ajst-21764	105	5	is	be	AUX
ajst-21764	105	6	often	often	ADV
ajst-21764	105	7	mixed	mix	VERB
ajst-21764	105	8	into	into	ADP
ajst-21764	105	9	the	the	DET
ajst-21764	105	10	low	low	ADJ
ajst-21764	105	11	-	-	PUNCT
ajst-21764	105	12	frequency	frequency	NOUN
ajst-21764	105	13	background	background	NOUN
ajst-21764	105	14	signal	signal	NOUN
ajst-21764	105	15	,	,	PUNCT
ajst-21764	105	16	which	which	PRON
ajst-21764	105	17	reduces	reduce	VERB
ajst-21764	105	18	the	the	DET
ajst-21764	105	19	efficiency	efficiency	NOUN
ajst-21764	105	20	of	of	ADP
ajst-21764	105	21	extracting	extract	VERB
ajst-21764	105	22	texture	texture	ADJ
ajst-21764	105	23	details	detail	NOUN
ajst-21764	105	24	from	from	ADP
ajst-21764	105	25	the	the	DET
ajst-21764	105	26	image	image	NOUN
ajst-21764	105	27	and	and	CCONJ
ajst-21764	105	28	impacts	impact	VERB
ajst-21764	105	29	the	the	DET
ajst-21764	105	30	visual	visual	ADJ
ajst-21764	105	31	presentation	presentation	NOUN
ajst-21764	105	32	of	of	ADP
ajst-21764	105	33	the	the	DET
ajst-21764	105	34	image	image	NOUN
ajst-21764	105	35	.	.	PUNCT
ajst-21764	106	1	to	to	PART
ajst-21764	106	2	extract	extract	VERB
ajst-21764	106	3	more	more	ADJ
ajst-21764	106	4	high	high	ADJ
ajst-21764	106	5	-	-	PUNCT
ajst-21764	106	6	frequency	frequency	NOUN
ajst-21764	106	7	information	information	NOUN
ajst-21764	106	8	,	,	PUNCT
ajst-21764	106	9	we	we	PRON
ajst-21764	106	10	introduce	introduce	VERB
ajst-21764	106	11	the	the	DET
ajst-21764	106	12	threshold	threshold	NOUN
ajst-21764	106	13	adaptive	adaptive	ADJ
ajst-21764	106	14	contrast	contrast	NOUN
ajst-21764	106	15	enhancement	enhancement	NOUN
ajst-21764	106	16	algorithm	algorithm	NOUN
ajst-21764	106	17	(	(	PUNCT
ajst-21764	106	18	thace	thace	NOUN
ajst-21764	106	19	)	)	PUNCT
ajst-21764	106	20	.	.	PUNCT
ajst-21764	107	1	the	the	DET
ajst-21764	107	2	thace	thace	NOUN
ajst-21764	107	3	algorithm	algorithm	NOUN
ajst-21764	107	4	enhances	enhance	VERB
ajst-21764	107	5	high	high	ADJ
ajst-21764	107	6	-	-	PUNCT
ajst-21764	107	7	frequency	frequency	NOUN
ajst-21764	107	8	information	information	NOUN
ajst-21764	107	9	in	in	ADP
ajst-21764	107	10	the	the	DET
ajst-21764	107	11	image	image	NOUN
ajst-21764	107	12	,	,	PUNCT
ajst-21764	107	13	while	while	SCONJ
ajst-21764	107	14	nsct	nsct	PROPN
ajst-21764	107	15	transformation	transformation	NOUN
ajst-21764	107	16	continuously	continuously	ADV
ajst-21764	107	17	decomposes	decompose	VERB
ajst-21764	107	18	the	the	DET
ajst-21764	107	19	image	image	NOUN
ajst-21764	107	20	to	to	PART
ajst-21764	107	21	extract	extract	VERB
ajst-21764	107	22	more	more	ADJ
ajst-21764	107	23	information	information	NOUN
ajst-21764	107	24	and	and	CCONJ
ajst-21764	107	25	enhance	enhance	VERB
ajst-21764	107	26	robustness	robustness	NOUN
ajst-21764	107	27	against	against	ADP
ajst-21764	107	28	noise	noise	NOUN
ajst-21764	107	29	.	.	PUNCT
ajst-21764	108	1	therefore	therefore	ADV
ajst-21764	108	2	,	,	PUNCT
ajst-21764	108	3	thace	thace	NOUN
ajst-21764	108	4	and	and	CCONJ
ajst-21764	108	5	nsct	nsct	PROPN
ajst-21764	108	6	are	be	AUX
ajst-21764	108	7	complementary	complementary	ADJ
ajst-21764	108	8	,	,	PUNCT
ajst-21764	108	9	and	and	CCONJ
ajst-21764	108	10	combining	combine	VERB
ajst-21764	108	11	them	they	PRON
ajst-21764	108	12	for	for	ADP
ajst-21764	108	13	image	image	NOUN
ajst-21764	108	14	preprocessing	preprocessing	NOUN
ajst-21764	108	15	is	be	AUX
ajst-21764	108	16	a	a	DET
ajst-21764	108	17	suitable	suitable	ADJ
ajst-21764	108	18	choice	choice	NOUN
ajst-21764	108	19	.	.	PUNCT
ajst-21764	109	1	the	the	DET
ajst-21764	109	2	core	core	NOUN
ajst-21764	109	3	of	of	ADP
ajst-21764	109	4	the	the	DET
ajst-21764	109	5	thace	thace	NOUN
ajst-21764	109	6	algorithm	algorithm	NOUN
ajst-21764	109	7	is	be	AUX
ajst-21764	109	8	to	to	PART
ajst-21764	109	9	boost	boost	VERB
ajst-21764	109	10	the	the	DET
ajst-21764	109	11	highfrequency	highfrequency	NOUN
ajst-21764	109	12	information	information	NOUN
ajst-21764	109	13	of	of	ADP
ajst-21764	109	14	the	the	DET
ajst-21764	109	15	samples	sample	NOUN
ajst-21764	109	16	.	.	PUNCT
ajst-21764	110	1	the	the	DET
ajst-21764	110	2	thace	thace	NOUN
ajst-21764	110	3	algorithm	algorithm	NOUN
ajst-21764	110	4	follows	follow	VERB
ajst-21764	110	5	the	the	DET
ajst-21764	110	6	process	process	NOUN
ajst-21764	110	7	outlined	outline	VERB
ajst-21764	110	8	below	below	ADV
ajst-21764	110	9	:	:	PUNCT
ajst-21764	110	10	(	(	PUNCT
ajst-21764	110	11	1	1	X
ajst-21764	110	12	)	)	PUNCT
ajst-21764	110	13	extracting	extract	VERB
ajst-21764	110	14	low	low	ADJ
ajst-21764	110	15	-	-	PUNCT
ajst-21764	110	16	frequency	frequency	NOUN
ajst-21764	110	17	background	background	NOUN
ajst-21764	110	18	information	information	NOUN
ajst-21764	110	19	.	.	PUNCT
ajst-21764	111	1	firstly	firstly	ADV
ajst-21764	111	2	,	,	PUNCT
ajst-21764	111	3	the	the	DET
ajst-21764	111	4	mean	mean	ADJ
ajst-21764	111	5	value	value	NOUN
ajst-21764	111	6	of	of	ADP
ajst-21764	111	7	the	the	DET
ajst-21764	111	8	window	window	NOUN
ajst-21764	111	9	is	be	AUX
ajst-21764	111	10	used	use	VERB
ajst-21764	111	11	to	to	PART
ajst-21764	111	12	determine	determine	VERB
ajst-21764	111	13	the	the	DET
ajst-21764	111	14	background	background	NOUN
ajst-21764	111	15	data	datum	NOUN
ajst-21764	111	16	of	of	ADP
ajst-21764	111	17	the	the	DET
ajst-21764	111	18	image	image	NOUN
ajst-21764	111	19	,	,	PUNCT
ajst-21764	111	20	i.e.	i.e.	X
ajst-21764	111	21	,	,	PUNCT
ajst-21764	111	22	the	the	DET
ajst-21764	111	23	low	low	ADJ
ajst-21764	111	24	-	-	PUNCT
ajst-21764	111	25	frequency	frequency	NOUN
ajst-21764	111	26	information	information	NOUN
ajst-21764	111	27	within	within	ADP
ajst-21764	111	28	the	the	DET
ajst-21764	111	29	image	image	NOUN
ajst-21764	111	30	,	,	PUNCT
ajst-21764	111	31	calculated	calculate	VERB
ajst-21764	111	32	as	as	SCONJ
ajst-21764	111	33	follows	follow	VERB
ajst-21764	111	34	:	:	PUNCT
ajst-21764	111	35	𝑚	𝑚	PROPN
ajst-21764	111	36	𝑎	𝑎	X
ajst-21764	111	37	,	,	PUNCT
ajst-21764	111	38	𝑏	𝑏	PROPN
ajst-21764	111	39	∑	∑	PROPN
ajst-21764	111	40	∑	∑	PROPN
ajst-21764	111	41	𝑦	𝑦	PROPN
ajst-21764	111	42	𝑔	𝑔	NOUN
ajst-21764	111	43	,	,	PUNCT
ajst-21764	111	44	ℎ	ℎ	X
ajst-21764	111	45	(	(	PUNCT
ajst-21764	111	46	8)	8)	NUM
ajst-21764	111	47	where	where	SCONJ
ajst-21764	111	48	𝑚	𝑚	PROPN
ajst-21764	111	49	𝑎	𝑎	X
ajst-21764	111	50	,	,	PUNCT
ajst-21764	111	51	𝑏	𝑏	PROPN
ajst-21764	111	52	denotes	denote	VERB
ajst-21764	111	53	the	the	DET
ajst-21764	111	54	average	average	ADJ
ajst-21764	111	55	magnitude	magnitude	NOUN
ajst-21764	111	56	of	of	ADP
ajst-21764	111	57	the	the	DET
ajst-21764	111	58	window	window	NOUN
ajst-21764	111	59	of	of	ADP
ajst-21764	111	60	size	size	NOUN
ajst-21764	111	61	2𝑛	2𝑛	PROPN
ajst-21764	111	62	1	1	NUM
ajst-21764	111	63	∗	∗	NOUN
ajst-21764	111	64	2𝑛	2𝑛	PROPN
ajst-21764	111	65	1	1	NUM
ajst-21764	111	66	,	,	PUNCT
ajst-21764	111	67	which	which	PRON
ajst-21764	111	68	can	can	AUX
ajst-21764	111	69	also	also	ADV
ajst-21764	111	70	be	be	AUX
ajst-21764	111	71	rectangular	rectangular	ADJ
ajst-21764	111	72	.	.	PUNCT
ajst-21764	112	1	in	in	ADP
ajst-21764	112	2	this	this	DET
ajst-21764	112	3	paper	paper	NOUN
ajst-21764	112	4	,	,	PUNCT
ajst-21764	112	5	a	a	DET
ajst-21764	112	6	square	square	ADJ
ajst-21764	112	7	window	window	NOUN
ajst-21764	112	8	with	with	ADP
ajst-21764	112	9	a	a	DET
ajst-21764	112	10	radius	radius	NOUN
ajst-21764	112	11	of	of	ADP
ajst-21764	112	12	n	n	PROPN
ajst-21764	112	13	is	be	AUX
ajst-21764	112	14	utilized	utilize	VERB
ajst-21764	112	15	.	.	PUNCT
ajst-21764	113	1	the	the	DET
ajst-21764	113	2	value	value	NOUN
ajst-21764	113	3	of	of	ADP
ajst-21764	113	4	n	n	NUM
ajst-21764	113	5	is	be	AUX
ajst-21764	113	6	typically	typically	ADV
ajst-21764	113	7	recommended	recommend	VERB
ajst-21764	113	8	to	to	PART
ajst-21764	113	9	be	be	AUX
ajst-21764	113	10	between	between	ADP
ajst-21764	113	11	20	20	NUM
ajst-21764	113	12	and	and	CCONJ
ajst-21764	113	13	25	25	NUM
ajst-21764	113	14	,	,	PUNCT
ajst-21764	113	15	although	although	SCONJ
ajst-21764	113	16	the	the	DET
ajst-21764	113	17	specific	specific	ADJ
ajst-21764	113	18	value	value	NOUN
ajst-21764	113	19	can	can	AUX
ajst-21764	113	20	be	be	AUX
ajst-21764	113	21	chosen	choose	VERB
ajst-21764	113	22	according	accord	VERB
ajst-21764	113	23	to	to	ADP
ajst-21764	113	24	user	user	NOUN
ajst-21764	113	25	requirements	requirement	NOUN
ajst-21764	113	26	.	.	PUNCT
ajst-21764	114	1	generally	generally	ADV
ajst-21764	114	2	,	,	PUNCT
ajst-21764	114	3	a	a	DET
ajst-21764	114	4	larger	large	ADJ
ajst-21764	114	5	n	n	NOUN
ajst-21764	114	6	value	value	NOUN
ajst-21764	114	7	leads	lead	VERB
ajst-21764	114	8	to	to	ADP
ajst-21764	114	9	more	more	ADV
ajst-21764	114	10	lost	lost	ADJ
ajst-21764	114	11	image	image	NOUN
ajst-21764	114	12	details	detail	NOUN
ajst-21764	114	13	during	during	ADP
ajst-21764	114	14	the	the	DET
ajst-21764	114	15	process	process	NOUN
ajst-21764	114	16	of	of	ADP
ajst-21764	114	17	extracting	extract	VERB
ajst-21764	114	18	features	feature	NOUN
ajst-21764	114	19	.	.	PUNCT
ajst-21764	115	1	in	in	ADP
ajst-21764	115	2	this	this	DET
ajst-21764	115	3	paper	paper	NOUN
ajst-21764	115	4	,	,	PUNCT
ajst-21764	115	5	n	n	PRON
ajst-21764	115	6	is	be	AUX
ajst-21764	115	7	set	set	VERB
ajst-21764	115	8	to	to	ADP
ajst-21764	115	9	20	20	NUM
ajst-21764	115	10	.	.	PUNCT
ajst-21764	116	1	(	(	PUNCT
ajst-21764	116	2	2	2	X
ajst-21764	116	3	)	)	PUNCT
ajst-21764	116	4	compute	compute	VERB
ajst-21764	116	5	the	the	DET
ajst-21764	116	6	standard	standard	ADJ
ajst-21764	116	7	deviation	deviation	NOUN
ajst-21764	116	8	.	.	PUNCT
ajst-21764	117	1	calculate	calculate	VERB
ajst-21764	117	2	the	the	DET
ajst-21764	117	3	standard	standard	ADJ
ajst-21764	117	4	deviation	deviation	NOUN
ajst-21764	117	5	for	for	ADP
ajst-21764	117	6	the	the	DET
ajst-21764	117	7	window	window	NOUN
ajst-21764	117	8	of	of	ADP
ajst-21764	117	9	size	size	NOUN
ajst-21764	117	10	2𝑛	2𝑛	PROPN
ajst-21764	117	11	1	1	NUM
ajst-21764	117	12	∗	∗	NOUN
ajst-21764	117	13	2𝑛	2𝑛	PROPN
ajst-21764	117	14	1	1	NUM
ajst-21764	117	15	:	:	PUNCT
ajst-21764	117	16	𝑓	𝑓	DET
ajst-21764	117	17	𝑎	𝑎	NOUN
ajst-21764	117	18	,	,	PUNCT
ajst-21764	117	19	𝑏	𝑏	PROPN
ajst-21764	117	20	𝑚	𝑚	PROPN
ajst-21764	117	21	𝑎	𝑎	PROPN
ajst-21764	117	22	,	,	PUNCT
ajst-21764	117	23	𝑏	𝑏	PROPN
ajst-21764	117	24	𝐺	𝐺	PROPN
ajst-21764	117	25	𝑎	𝑎	PROPN
ajst-21764	117	26	,	,	PUNCT
ajst-21764	117	27	𝑏	𝑏	PROPN
ajst-21764	117	28	𝑦	𝑦	PROPN
ajst-21764	117	29	𝑎	𝑎	NOUN
ajst-21764	117	30	,	,	PUNCT
ajst-21764	117	31	𝑏	𝑏	PROPN
ajst-21764	117	32	𝑚	𝑚	PROPN
ajst-21764	117	33	𝑎	𝑎	PROPN
ajst-21764	117	34	,	,	PUNCT
ajst-21764	117	35	𝑏	𝑏	PROPN
ajst-21764	117	36	(	(	PUNCT
ajst-21764	117	37	9	9	NUM
ajst-21764	117	38	)	)	PUNCT
ajst-21764	117	39	where	where	SCONJ
ajst-21764	117	40	𝑥	𝑥	PRON
ajst-21764	117	41	𝑎	𝑎	NOUN
ajst-21764	117	42	,	,	PUNCT
ajst-21764	117	43	𝑏	𝑏	PROPN
ajst-21764	117	44	represents	represent	VERB
ajst-21764	117	45	the	the	DET
ajst-21764	117	46	original	original	ADJ
ajst-21764	117	47	pixel	pixel	NOUN
ajst-21764	117	48	,	,	PUNCT
ajst-21764	117	49	𝑓	𝑓	PRON
ajst-21764	117	50	𝑎	𝑎	NOUN
ajst-21764	117	51	,	,	PUNCT
ajst-21764	117	52	𝑏	𝑏	PROPN
ajst-21764	117	53	denotes	denote	VERB
ajst-21764	117	54	the	the	DET
ajst-21764	117	55	pixel	pixel	PROPN
ajst-21764	117	56	value	value	NOUN
ajst-21764	117	57	after	after	ADP
ajst-21764	117	58	adaptive	adaptive	ADJ
ajst-21764	117	59	contrast	contrast	NOUN
ajst-21764	117	60	enhancement	enhancement	NOUN
ajst-21764	117	61	,	,	PUNCT
ajst-21764	117	62	and	and	CCONJ
ajst-21764	117	63	𝐺	𝐺	PROPN
ajst-21764	117	64	𝑎	𝑎	PROPN
ajst-21764	117	65	,	,	PUNCT
ajst-21764	117	66	𝑏	𝑏	PROPN
ajst-21764	117	67	represents	represent	VERB
ajst-21764	117	68	the	the	DET
ajst-21764	117	69	scaling	scale	VERB
ajst-21764	117	70	factor	factor	NOUN
ajst-21764	117	71	cg	cg	NOUN
ajst-21764	117	72	.	.	PUNCT
ajst-21764	118	1	there	there	PRON
ajst-21764	118	2	are	be	VERB
ajst-21764	118	3	two	two	NUM
ajst-21764	118	4	methods	method	NOUN
ajst-21764	118	5	to	to	PART
ajst-21764	118	6	determine	determine	VERB
ajst-21764	118	7	the	the	DET
ajst-21764	118	8	value	value	NOUN
ajst-21764	118	9	of	of	ADP
ajst-21764	118	10	cg	cg	NOUN
ajst-21764	118	11	:	:	PUNCT
ajst-21764	118	12	a	a	X
ajst-21764	118	13	)	)	PUNCT
ajst-21764	118	14	it	it	PRON
ajst-21764	118	15	is	be	AUX
ajst-21764	118	16	set	set	VERB
ajst-21764	118	17	as	as	ADP
ajst-21764	118	18	a	a	DET
ajst-21764	118	19	constant	constant	ADJ
ajst-21764	118	20	c	c	NOUN
ajst-21764	118	21	,	,	PUNCT
ajst-21764	118	22	which	which	PRON
ajst-21764	118	23	can	can	AUX
ajst-21764	118	24	be	be	AUX
ajst-21764	118	25	adjusted	adjust	VERB
ajst-21764	118	26	based	base	VERB
ajst-21764	118	27	on	on	ADP
ajst-21764	118	28	the	the	DET
ajst-21764	118	29	user	user	NOUN
ajst-21764	118	30	's	's	PART
ajst-21764	118	31	own	own	ADJ
ajst-21764	118	32	results	result	NOUN
ajst-21764	118	33	,	,	PUNCT
ajst-21764	118	34	typically	typically	ADV
ajst-21764	118	35	ranging	range	VERB
ajst-21764	118	36	from	from	ADP
ajst-21764	118	37	1	1	NUM
ajst-21764	118	38	to	to	ADP
ajst-21764	118	39	5	5	NUM
ajst-21764	118	40	.	.	PUNCT
ajst-21764	119	1	the	the	DET
ajst-21764	119	2	enhanced	enhance	VERB
ajst-21764	119	3	grayscale	grayscale	NOUN
ajst-21764	119	4	value	value	NOUN
ajst-21764	119	5	is	be	AUX
ajst-21764	119	6	defined	define	VERB
ajst-21764	119	7	as	as	ADP
ajst-21764	119	8	:	:	PUNCT
ajst-21764	119	9	𝑓	𝑓	DET
ajst-21764	119	10	𝑎	𝑎	NOUN
ajst-21764	119	11	,	,	PUNCT
ajst-21764	119	12	𝑏	𝑏	PROPN
ajst-21764	119	13	𝑚	𝑚	PROPN
ajst-21764	119	14	𝑎	𝑎	PROPN
ajst-21764	119	15	,	,	PUNCT
ajst-21764	119	16	𝑏	𝑏	PROPN
ajst-21764	119	17	𝐶	𝐶	PROPN
ajst-21764	119	18	𝑦	𝑦	PROPN
ajst-21764	119	19	𝑎	𝑎	PROPN
ajst-21764	119	20	,	,	PUNCT
ajst-21764	119	21	𝑏	𝑏	PROPN
ajst-21764	119	22	𝑚	𝑚	PROPN
ajst-21764	119	23	𝑎	𝑎	PROPN
ajst-21764	119	24	,	,	PUNCT
ajst-21764	119	25	𝑏	𝑏	PROPN
ajst-21764	119	26	(	(	PUNCT
ajst-21764	119	27	10	10	NUM
ajst-21764	119	28	)	)	PUNCT
ajst-21764	119	29	b	b	NOUN
ajst-21764	119	30	)	)	PUNCT
ajst-21764	119	31	adaptive	adaptive	ADJ
ajst-21764	119	32	determination	determination	NOUN
ajst-21764	119	33	of	of	ADP
ajst-21764	119	34	𝐺	𝐺	PROPN
ajst-21764	119	35	𝑎	𝑎	PROPN
ajst-21764	119	36	,	,	PUNCT
ajst-21764	119	37	𝑏	𝑏	PROPN
ajst-21764	119	38	is	be	AUX
ajst-21764	119	39	defined	define	VERB
ajst-21764	119	40	as	as	ADP
ajst-21764	119	41	:	:	PUNCT
ajst-21764	119	42	𝐺	𝐺	PROPN
ajst-21764	119	43	𝑎	𝑎	PROPN
ajst-21764	119	44	,	,	PUNCT
ajst-21764	119	45	𝑏	𝑏	PROPN
ajst-21764	119	46	𝛼	𝛼	X
ajst-21764	119	47	,	,	PUNCT
ajst-21764	119	48	(	(	PUNCT
ajst-21764	119	49	11	11	NUM
ajst-21764	119	50	)	)	PUNCT
ajst-21764	119	51	where	where	SCONJ
ajst-21764	119	52	𝜎	𝜎	PROPN
ajst-21764	119	53	𝑎	𝑎	NOUN
ajst-21764	119	54	,	,	PUNCT
ajst-21764	119	55	𝑏	𝑏	PROPN
ajst-21764	119	56	represents	represent	VERB
ajst-21764	119	57	the	the	DET
ajst-21764	119	58	local	local	ADJ
ajst-21764	119	59	standard	standard	ADJ
ajst-21764	119	60	deviation	deviation	NOUN
ajst-21764	119	61	of	of	ADP
ajst-21764	119	62	the	the	DET
ajst-21764	119	63	image	image	NOUN
ajst-21764	119	64	,	,	PUNCT
ajst-21764	119	65	m	m	PROPN
ajst-21764	119	66	and	and	CCONJ
ajst-21764	119	67	σ	σ	PROPN
ajst-21764	119	68	are	be	AUX
ajst-21764	119	69	constants	constant	NOUN
ajst-21764	119	70	.	.	PUNCT
ajst-21764	120	1	m	m	PROPN
ajst-21764	120	2	can	can	AUX
ajst-21764	120	3	be	be	AUX
ajst-21764	120	4	taken	take	VERB
ajst-21764	120	5	as	as	ADP
ajst-21764	120	6	the	the	DET
ajst-21764	120	7	global	global	ADJ
ajst-21764	120	8	mean	mean	NOUN
ajst-21764	120	9	of	of	ADP
ajst-21764	120	10	the	the	DET
ajst-21764	120	11	image	image	NOUN
ajst-21764	120	12	or	or	CCONJ
ajst-21764	120	13	a	a	DET
ajst-21764	120	14	suitable	suitable	ADJ
ajst-21764	120	15	value	value	NOUN
ajst-21764	120	16	set	set	VERB
ajst-21764	120	17	by	by	ADP
ajst-21764	120	18	the	the	DET
ajst-21764	120	19	user	user	NOUN
ajst-21764	120	20	,	,	PUNCT
ajst-21764	120	21	but	but	CCONJ
ajst-21764	120	22	in	in	ADP
ajst-21764	120	23	this	this	DET
ajst-21764	120	24	paper	paper	NOUN
ajst-21764	120	25	,	,	PUNCT
ajst-21764	120	26	m	m	VERB
ajst-21764	120	27	is	be	AUX
ajst-21764	120	28	set	set	VERB
ajst-21764	120	29	as	as	ADP
ajst-21764	120	30	the	the	DET
ajst-21764	120	31	global	global	ADJ
ajst-21764	120	32	variance	variance	NOUN
ajst-21764	120	33	of	of	ADP
ajst-21764	120	34	the	the	DET
ajst-21764	120	35	image	image	NOUN
ajst-21764	120	36	.	.	PUNCT
ajst-21764	121	1	σ	σ	NOUN
ajst-21764	121	2	is	be	AUX
ajst-21764	121	3	set	set	VERB
ajst-21764	121	4	as	as	ADP
ajst-21764	121	5	2	2	NUM
ajst-21764	121	6	.	.	PUNCT
ajst-21764	122	1	the	the	DET
ajst-21764	122	2	approach	approach	NOUN
ajst-21764	122	3	selected	select	VERB
ajst-21764	122	4	in	in	ADP
ajst-21764	122	5	the	the	DET
ajst-21764	122	6	experiment	experiment	NOUN
ajst-21764	122	7	of	of	ADP
ajst-21764	122	8	this	this	DET
ajst-21764	122	9	paper	paper	NOUN
ajst-21764	122	10	is	be	AUX
ajst-21764	122	11	the	the	DET
ajst-21764	122	12	second	second	ADJ
ajst-21764	122	13	adaptive	adaptive	ADJ
ajst-21764	122	14	plan	plan	NOUN
ajst-21764	122	15	.	.	PUNCT
ajst-21764	123	1	furthermore	furthermore	ADV
ajst-21764	123	2	,	,	PUNCT
ajst-21764	123	3	unlike	unlike	ADP
ajst-21764	123	4	the	the	DET
ajst-21764	123	5	ace	ace	NOUN
ajst-21764	123	6	[	[	X
ajst-21764	123	7	23	23	NUM
ajst-21764	123	8	]	]	PUNCT
ajst-21764	123	9	algorithm	algorithm	NOUN
ajst-21764	123	10	,	,	PUNCT
ajst-21764	123	11	in	in	ADP
ajst-21764	123	12	this	this	DET
ajst-21764	123	13	study	study	NOUN
ajst-21764	123	14	,	,	PUNCT
ajst-21764	123	15	a	a	DET
ajst-21764	123	16	threshold	threshold	NOUN
ajst-21764	123	17	value	value	NOUN
ajst-21764	123	18	,	,	PUNCT
ajst-21764	123	19	denoted	denote	VERB
ajst-21764	123	20	as	as	ADP
ajst-21764	123	21	th	th	NOUN
ajst-21764	123	22	,	,	PUNCT
ajst-21764	123	23	is	be	AUX
ajst-21764	123	24	established	establish	VERB
ajst-21764	123	25	in	in	ADP
ajst-21764	123	26	𝐺	𝐺	PROPN
ajst-21764	123	27	𝑎	𝑎	NOUN
ajst-21764	123	28	,	,	PUNCT
ajst-21764	123	29	𝑏	𝑏	PRON
ajst-21764	123	30	to	to	PART
ajst-21764	123	31	restrict	restrict	VERB
ajst-21764	123	32	the	the	DET
ajst-21764	123	33	maximum	maximum	ADJ
ajst-21764	123	34	magnitude	magnitude	NOUN
ajst-21764	123	35	of	of	ADP
ajst-21764	123	36	the	the	DET
ajst-21764	123	37	scaling	scale	VERB
ajst-21764	123	38	factor	factor	NOUN
ajst-21764	123	39	cg	cg	NOUN
ajst-21764	123	40	(	(	PUNCT
ajst-21764	123	41	in	in	ADP
ajst-21764	123	42	this	this	DET
ajst-21764	123	43	paper	paper	NOUN
ajst-21764	123	44	,	,	PUNCT
ajst-21764	123	45	th	th	X
ajst-21764	123	46	is	be	AUX
ajst-21764	123	47	set	set	VERB
ajst-21764	123	48	as	as	ADP
ajst-21764	123	49	4	4	NUM
ajst-21764	123	50	)	)	PUNCT
ajst-21764	123	51	.	.	PUNCT
ajst-21764	124	1	because	because	SCONJ
ajst-21764	124	2	the	the	DET
ajst-21764	124	3	value	value	NOUN
ajst-21764	124	4	of	of	ADP
ajst-21764	124	5	cg	cg	NOUN
ajst-21764	124	6	is	be	AUX
ajst-21764	124	7	adaptive	adaptive	ADJ
ajst-21764	124	8	and	and	CCONJ
ajst-21764	124	9	inversely	inversely	ADV
ajst-21764	124	10	proportional	proportional	ADJ
ajst-21764	124	11	to	to	ADP
ajst-21764	124	12	σ	σ	PROPN
ajst-21764	124	13	.	.	PUNCT
ajst-21764	125	1	in	in	ADP
ajst-21764	125	2	regions	region	NOUN
ajst-21764	125	3	with	with	ADP
ajst-21764	125	4	large	large	ADJ
ajst-21764	125	5	local	local	ADJ
ajst-21764	125	6	standard	standard	ADJ
ajst-21764	125	7	deviations	deviation	NOUN
ajst-21764	125	8	,	,	PUNCT
ajst-21764	125	9	the	the	DET
ajst-21764	125	10	corresponding	correspond	VERB
ajst-21764	125	11	cg	cg	NOUN
ajst-21764	125	12	values	value	NOUN
ajst-21764	125	13	will	will	AUX
ajst-21764	125	14	be	be	AUX
ajst-21764	125	15	smaller	small	ADJ
ajst-21764	125	16	.	.	PUNCT
ajst-21764	126	1	conversely	conversely	ADV
ajst-21764	126	2	,	,	PUNCT
ajst-21764	126	3	in	in	ADP
ajst-21764	126	4	smoother	smoother	ADJ
ajst-21764	126	5	regions	region	NOUN
ajst-21764	126	6	of	of	ADP
ajst-21764	126	7	the	the	DET
ajst-21764	126	8	image	image	NOUN
ajst-21764	126	9	where	where	SCONJ
ajst-21764	126	10	local	local	ADJ
ajst-21764	126	11	standard	standard	ADJ
ajst-21764	126	12	deviations	deviation	NOUN
ajst-21764	126	13	are	be	AUX
ajst-21764	126	14	smaller	small	ADJ
ajst-21764	126	15	,	,	PUNCT
ajst-21764	126	16	the	the	DET
ajst-21764	126	17	corresponding	correspond	VERB
ajst-21764	126	18	cg	cg	NOUN
ajst-21764	126	19	values	value	NOUN
ajst-21764	126	20	will	will	AUX
ajst-21764	126	21	be	be	AUX
ajst-21764	126	22	larger	large	ADJ
ajst-21764	126	23	.	.	PUNCT
ajst-21764	127	1	therefore	therefore	ADV
ajst-21764	127	2	,	,	PUNCT
ajst-21764	127	3	in	in	ADP
ajst-21764	127	4	the	the	DET
ajst-21764	127	5	thace	thace	NOUN
ajst-21764	127	6	algorithm	algorithm	NOUN
ajst-21764	127	7	,	,	PUNCT
ajst-21764	127	8	when	when	SCONJ
ajst-21764	127	9	amplifying	amplify	VERB
ajst-21764	127	10	the	the	DET
ajst-21764	127	11	high	high	ADJ
ajst-21764	127	12	-	-	PUNCT
ajst-21764	127	13	frequency	frequency	NOUN
ajst-21764	127	14	information	information	NOUN
ajst-21764	127	15	of	of	ADP
ajst-21764	127	16	the	the	DET
ajst-21764	127	17	image	image	NOUN
ajst-21764	127	18	,	,	PUNCT
ajst-21764	127	19	amplification	amplification	NOUN
ajst-21764	127	20	of	of	ADP
ajst-21764	127	21	noise	noise	NOUN
ajst-21764	127	22	in	in	ADP
ajst-21764	127	23	the	the	DET
ajst-21764	127	24	image	image	NOUN
ajst-21764	127	25	occurs	occur	VERB
ajst-21764	127	26	,	,	PUNCT
ajst-21764	127	27	which	which	PRON
ajst-21764	127	28	is	be	AUX
ajst-21764	127	29	detrimental	detrimental	ADJ
ajst-21764	127	30	to	to	PART
ajst-21764	127	31	feature	feature	VERB
ajst-21764	127	32	extraction	extraction	NOUN
ajst-21764	127	33	of	of	ADP
ajst-21764	127	34	descriptors	descriptor	NOUN
ajst-21764	127	35	.	.	PUNCT
ajst-21764	128	1	thus	thus	ADV
ajst-21764	128	2	,	,	PUNCT
ajst-21764	128	3	it	it	PRON
ajst-21764	128	4	is	be	AUX
ajst-21764	128	5	necessary	necessary	ADJ
ajst-21764	128	6	to	to	PART
ajst-21764	128	7	limit	limit	VERB
ajst-21764	128	8	the	the	DET
ajst-21764	128	9	maximum	maximum	ADJ
ajst-21764	128	10	value	value	NOUN
ajst-21764	128	11	of	of	ADP
ajst-21764	128	12	cg	cg	NOUN
ajst-21764	128	13	.	.	PUNCT
ajst-21764	129	1	this	this	DET
ajst-21764	129	2	threshold	threshold	NOUN
ajst-21764	129	3	is	be	AUX
ajst-21764	129	4	crucial	crucial	ADJ
ajst-21764	129	5	for	for	ADP
ajst-21764	129	6	enhancing	enhance	VERB
ajst-21764	129	7	the	the	DET
ajst-21764	129	8	effect	effect	NOUN
ajst-21764	129	9	;	;	PUNCT
ajst-21764	129	10	if	if	SCONJ
ajst-21764	129	11	𝐺	𝐺	PROPN
ajst-21764	129	12	𝑎	𝑎	VERB
ajst-21764	129	13	,	,	PUNCT
ajst-21764	129	14	𝑏	𝑏	PROPN
ajst-21764	129	15	exceeds	exceed	VERB
ajst-21764	129	16	this	this	DET
ajst-21764	129	17	threshold	threshold	NOUN
ajst-21764	129	18	,	,	PUNCT
ajst-21764	129	19	it	it	PRON
ajst-21764	129	20	will	will	AUX
ajst-21764	129	21	be	be	AUX
ajst-21764	129	22	set	set	VERB
ajst-21764	129	23	to	to	ADP
ajst-21764	129	24	this	this	DET
ajst-21764	129	25	threshold	threshold	NOUN
ajst-21764	129	26	value	value	NOUN
ajst-21764	129	27	.	.	PUNCT
ajst-21764	130	1	the	the	DET
ajst-21764	130	2	workflow	workflow	NOUN
ajst-21764	130	3	of	of	ADP
ajst-21764	130	4	the	the	DET
ajst-21764	130	5	thace	thace	NOUN
ajst-21764	130	6	algorithm	algorithm	NOUN
ajst-21764	130	7	is	be	AUX
ajst-21764	130	8	as	as	SCONJ
ajst-21764	130	9	follows	follow	VERB
ajst-21764	130	10	:	:	PUNCT
ajst-21764	130	11	the	the	DET
ajst-21764	130	12	information	information	NOUN
ajst-21764	130	13	in	in	ADP
ajst-21764	130	14	the	the	DET
ajst-21764	130	15	image	image	NOUN
ajst-21764	130	16	is	be	AUX
ajst-21764	130	17	divided	divide	VERB
ajst-21764	130	18	into	into	ADP
ajst-21764	130	19	two	two	NUM
ajst-21764	130	20	types	type	NOUN
ajst-21764	130	21	,	,	PUNCT
ajst-21764	130	22	one	one	NUM
ajst-21764	130	23	representing	represent	VERB
ajst-21764	130	24	the	the	DET
ajst-21764	130	25	local	local	ADJ
ajst-21764	130	26	background	background	NOUN
ajst-21764	130	27	of	of	ADP
ajst-21764	130	28	the	the	DET
ajst-21764	130	29	image	image	NOUN
ajst-21764	130	30	,	,	PUNCT
ajst-21764	130	31	which	which	PRON
ajst-21764	130	32	is	be	AUX
ajst-21764	130	33	the	the	DET
ajst-21764	130	34	low	low	ADJ
ajst-21764	130	35	-	-	PUNCT
ajst-21764	130	36	frequency	frequency	NOUN
ajst-21764	130	37	information	information	NOUN
ajst-21764	130	38	,	,	PUNCT
ajst-21764	130	39	and	and	CCONJ
ajst-21764	130	40	the	the	DET
ajst-21764	130	41	other	other	ADJ
ajst-21764	130	42	representing	represent	VERB
ajst-21764	130	43	the	the	DET
ajst-21764	130	44	enhanced	enhanced	ADJ
ajst-21764	130	45	image	image	NOUN
ajst-21764	130	46	,	,	PUNCT
ajst-21764	130	47	which	which	PRON
ajst-21764	130	48	is	be	AUX
ajst-21764	130	49	the	the	DET
ajst-21764	130	50	high	high	ADJ
ajst-21764	130	51	-	-	PUNCT
ajst-21764	130	52	frequency	frequency	NOUN
ajst-21764	130	53	information	information	NOUN
ajst-21764	130	54	.	.	PUNCT
ajst-21764	131	1	the	the	DET
ajst-21764	131	2	local	local	ADJ
ajst-21764	131	3	background	background	NOUN
ajst-21764	131	4	information	information	NOUN
ajst-21764	131	5	can	can	AUX
ajst-21764	131	6	be	be	AUX
ajst-21764	131	7	obtained	obtain	VERB
ajst-21764	131	8	through	through	ADP
ajst-21764	131	9	low	low	ADJ
ajst-21764	131	10	-	-	PUNCT
ajst-21764	131	11	pass	pass	NOUN
ajst-21764	131	12	filtering	filtering	NOUN
ajst-21764	131	13	,	,	PUNCT
ajst-21764	131	14	while	while	SCONJ
ajst-21764	131	15	the	the	DET
ajst-21764	131	16	enhanced	enhance	VERB
ajst-21764	131	17	image	image	NOUN
ajst-21764	131	18	is	be	AUX
ajst-21764	131	19	obtained	obtain	VERB
ajst-21764	131	20	by	by	ADP
ajst-21764	131	21	subtracting	subtract	VERB
ajst-21764	131	22	the	the	DET
ajst-21764	131	23	local	local	ADJ
ajst-21764	131	24	background	background	NOUN
ajst-21764	131	25	information	information	NOUN
ajst-21764	131	26	from	from	ADP
ajst-21764	131	27	the	the	DET
ajst-21764	131	28	original	original	ADJ
ajst-21764	131	29	image	image	NOUN
ajst-21764	131	30	.	.	PUNCT
ajst-21764	132	1	the	the	DET
ajst-21764	132	2	goal	goal	NOUN
ajst-21764	132	3	of	of	ADP
ajst-21764	132	4	this	this	DET
ajst-21764	132	5	algorithm	algorithm	NOUN
ajst-21764	132	6	is	be	AUX
ajst-21764	132	7	to	to	PART
ajst-21764	132	8	enhance	enhance	VERB
ajst-21764	132	9	the	the	DET
ajst-21764	132	10	high	high	ADJ
ajst-21764	132	11	-	-	PUNCT
ajst-21764	132	12	frequency	frequency	NOUN
ajst-21764	132	13	part	part	NOUN
ajst-21764	132	14	,	,	PUNCT
ajst-21764	132	15	which	which	PRON
ajst-21764	132	16	represents	represent	VERB
ajst-21764	132	17	more	more	ADJ
ajst-21764	132	18	texture	texture	ADJ
ajst-21764	132	19	details	detail	NOUN
ajst-21764	132	20	.	.	PUNCT
ajst-21764	133	1	to	to	PART
ajst-21764	133	2	achieve	achieve	VERB
ajst-21764	133	3	this	this	PRON
ajst-21764	133	4	,	,	PUNCT
ajst-21764	133	5	a	a	DET
ajst-21764	133	6	scaling	scaling	ADJ
ajst-21764	133	7	factor	factor	NOUN
ajst-21764	133	8	cg	cg	NOUN
ajst-21764	133	9	utilized	utilize	VERB
ajst-21764	133	10	to	to	PART
ajst-21764	133	11	magnify	magnify	VERB
ajst-21764	133	12	this	this	DET
ajst-21764	133	13	highfrequency	highfrequency	NOUN
ajst-21764	133	14	information	information	NOUN
ajst-21764	133	15	.	.	PUNCT
ajst-21764	134	1	then	then	ADV
ajst-21764	134	2	,	,	PUNCT
ajst-21764	134	3	the	the	DET
ajst-21764	134	4	enhanced	enhance	VERB
ajst-21764	134	5	image	image	NOUN
ajst-21764	134	6	is	be	AUX
ajst-21764	134	7	superimposed	superimpose	VERB
ajst-21764	134	8	on	on	ADP
ajst-21764	134	9	the	the	DET
ajst-21764	134	10	initial	initial	ADJ
ajst-21764	134	11	image	image	NOUN
ajst-21764	134	12	,	,	PUNCT
ajst-21764	134	13	resulting	result	VERB
ajst-21764	134	14	in	in	ADP
ajst-21764	134	15	an	an	DET
ajst-21764	134	16	enhanced	enhanced	ADJ
ajst-21764	134	17	image	image	NOUN
ajst-21764	134	18	where	where	SCONJ
ajst-21764	134	19	the	the	DET
ajst-21764	134	20	edge	edge	NOUN
ajst-21764	134	21	contours	contours	NOUN
ajst-21764	134	22	are	be	AUX
ajst-21764	134	23	enhanced	enhance	VERB
ajst-21764	134	24	without	without	ADP
ajst-21764	134	25	losing	lose	VERB
ajst-21764	134	26	low	low	ADJ
ajst-21764	134	27	-	-	PUNCT
ajst-21764	134	28	frequency	frequency	NOUN
ajst-21764	134	29	information	information	NOUN
ajst-21764	134	30	.	.	PUNCT
ajst-21764	135	1	after	after	ADP
ajst-21764	135	2	undergoing	undergo	VERB
ajst-21764	135	3	thace	thace	NOUN
ajst-21764	135	4	algorithm	algorithm	NOUN
ajst-21764	135	5	processing	processing	NOUN
ajst-21764	135	6	,	,	PUNCT
ajst-21764	135	7	the	the	DET
ajst-21764	135	8	image	image	NOUN
ajst-21764	135	9	extracts	extract	VERB
ajst-21764	135	10	more	more	ADJ
ajst-21764	135	11	highfrequency	highfrequency	NOUN
ajst-21764	135	12	information	information	NOUN
ajst-21764	135	13	,	,	PUNCT
ajst-21764	135	14	thereby	thereby	ADV
ajst-21764	135	15	improving	improve	VERB
ajst-21764	135	16	the	the	DET
ajst-21764	135	17	accuracy	accuracy	NOUN
ajst-21764	135	18	of	of	ADP
ajst-21764	135	19	texture	texture	ADJ
ajst-21764	135	20	classification	classification	NOUN
ajst-21764	135	21	.	.	PUNCT
ajst-21764	136	1	figure	figure	NOUN
ajst-21764	136	2	1	1	NUM
ajst-21764	136	3	illustrates	illustrate	VERB
ajst-21764	136	4	the	the	DET
ajst-21764	136	5	image	image	NOUN
ajst-21764	136	6	enhancement	enhancement	NOUN
ajst-21764	136	7	effects	effect	NOUN
ajst-21764	136	8	of	of	ADP
ajst-21764	136	9	thace	thace	NOUN
ajst-21764	136	10	on	on	ADP
ajst-21764	136	11	sample	sample	NOUN
ajst-21764	136	12	images	image	NOUN
ajst-21764	136	13	from	from	ADP
ajst-21764	136	14	the	the	DET
ajst-21764	136	15	texture	texture	NOUN
ajst-21764	136	16	dataset	dataset	NOUN
ajst-21764	136	17	.	.	PUNCT
ajst-21764	137	1	figure	figure	NOUN
ajst-21764	137	2	1(a	1(a	NUM
ajst-21764	137	3	)	)	PUNCT
ajst-21764	137	4	presents	present	VERB
ajst-21764	137	5	the	the	DET
ajst-21764	137	6	original	original	ADJ
ajst-21764	137	7	image	image	NOUN
ajst-21764	137	8	from	from	ADP
ajst-21764	137	9	the	the	DET
ajst-21764	137	10	uiuc	uiuc	PROPN
ajst-21764	137	11	dataset	dataset	NOUN
ajst-21764	137	12	,	,	PUNCT
ajst-21764	137	13	while	while	SCONJ
ajst-21764	137	14	figure	figure	NOUN
ajst-21764	137	15	1-(b	1-(b	NUM
ajst-21764	137	16	)	)	PUNCT
ajst-21764	137	17	displays	display	VERB
ajst-21764	137	18	the	the	DET
ajst-21764	137	19	enhanced	enhanced	ADJ
ajst-21764	137	20	image	image	NOUN
ajst-21764	137	21	after	after	ADP
ajst-21764	137	22	applying	apply	VERB
ajst-21764	137	23	thace	thace	NOUN
ajst-21764	137	24	to	to	PART
ajst-21764	137	25	enhance	enhance	VERB
ajst-21764	137	26	the	the	DET
ajst-21764	137	27	high	high	ADJ
ajst-21764	137	28	-	-	PUNCT
ajst-21764	137	29	frequency	frequency	NOUN
ajst-21764	137	30	information	information	NOUN
ajst-21764	137	31	.	.	PUNCT
ajst-21764	138	1	it	it	PRON
ajst-21764	138	2	can	can	AUX
ajst-21764	138	3	be	be	AUX
ajst-21764	138	4	observed	observe	VERB
ajst-21764	138	5	that	that	SCONJ
ajst-21764	138	6	after	after	ADP
ajst-21764	138	7	thace	thace	NOUN
ajst-21764	138	8	processing	processing	NOUN
ajst-21764	138	9	,	,	PUNCT
ajst-21764	138	10	compared	compare	VERB
ajst-21764	138	11	to	to	ADP
ajst-21764	138	12	the	the	DET
ajst-21764	138	13	primary	primary	ADJ
ajst-21764	138	14	image	image	NOUN
ajst-21764	138	15	,	,	PUNCT
ajst-21764	138	16	the	the	DET
ajst-21764	138	17	contrast	contrast	NOUN
ajst-21764	138	18	of	of	ADP
ajst-21764	138	19	the	the	DET
ajst-21764	138	20	high	high	ADJ
ajst-21764	138	21	-	-	PUNCT
ajst-21764	138	22	frequency	frequency	NOUN
ajst-21764	138	23	information	information	NOUN
ajst-21764	138	24	is	be	AUX
ajst-21764	138	25	enhanced	enhance	VERB
ajst-21764	138	26	,	,	PUNCT
ajst-21764	138	27	originally	originally	ADV
ajst-21764	138	28	blurry	blurry	ADJ
ajst-21764	138	29	details	detail	NOUN
ajst-21764	138	30	become	become	VERB
ajst-21764	138	31	clearer	clear	ADJ
ajst-21764	138	32	,	,	PUNCT
ajst-21764	138	33	and	and	CCONJ
ajst-21764	138	34	useful	useful	ADJ
ajst-21764	138	35	high	high	ADJ
ajst-21764	138	36	-	-	PUNCT
ajst-21764	138	37	frequency	frequency	NOUN
ajst-21764	138	38	information	information	NOUN
ajst-21764	138	39	is	be	AUX
ajst-21764	138	40	amplified	amplify	VERB
ajst-21764	138	41	,	,	PUNCT
ajst-21764	138	42	which	which	PRON
ajst-21764	138	43	is	be	AUX
ajst-21764	138	44	more	more	ADV
ajst-21764	138	45	conducive	conducive	ADJ
ajst-21764	138	46	to	to	PART
ajst-21764	138	47	feature	feature	VERB
ajst-21764	138	48	extraction	extraction	NOUN
ajst-21764	138	49	.	.	PUNCT
ajst-21764	139	1	(	(	PUNCT
ajst-21764	139	2	a	a	X
ajst-21764	139	3	)	)	PUNCT
ajst-21764	139	4	(	(	PUNCT
ajst-21764	139	5	b	b	X
ajst-21764	139	6	)	)	PUNCT
ajst-21764	139	7	figure	figure	NOUN
ajst-21764	139	8	1	1	NUM
ajst-21764	139	9	.	.	PUNCT
ajst-21764	139	10	thace	thace	NOUN
ajst-21764	139	11	image	image	NOUN
ajst-21764	139	12	enhancement	enhancement	NOUN
ajst-21764	139	13	rendering	rendering	NOUN
ajst-21764	139	14	,	,	PUNCT
ajst-21764	139	15	(	(	PUNCT
ajst-21764	139	16	a	a	X
ajst-21764	139	17	)	)	PUNCT
ajst-21764	139	18	represents	represent	VERB
ajst-21764	139	19	the	the	DET
ajst-21764	139	20	primary	primary	ADJ
ajst-21764	139	21	image	image	NOUN
ajst-21764	139	22	,	,	PUNCT
ajst-21764	139	23	(	(	PUNCT
ajst-21764	139	24	b	b	X
ajst-21764	139	25	)	)	PUNCT
ajst-21764	139	26	represents	represent	VERB
ajst-21764	139	27	the	the	DET
ajst-21764	139	28	enhanced	enhanced	ADJ
ajst-21764	139	29	effect	effect	NOUN
ajst-21764	139	30	image	image	NOUN
ajst-21764	139	31	.	.	PUNCT
ajst-21764	140	1	91	91	NUM
ajst-21764	140	2	3.3	3.3	NUM
ajst-21764	140	3	.	.	PUNCT
ajst-21764	141	1	non	non	ADJ
ajst-21764	141	2	-	-	ADJ
ajst-21764	141	3	local	local	ADJ
ajst-21764	141	4	median	median	ADJ
ajst-21764	141	5	binary	binary	NOUN
ajst-21764	141	6	pattern	pattern	NOUN
ajst-21764	141	7	(	(	PUNCT
ajst-21764	141	8	nmbp	nmbp	NOUN
ajst-21764	141	9	)	)	PUNCT
ajst-21764	141	10	existing	exist	VERB
ajst-21764	141	11	lbp	lbp	NOUN
ajst-21764	141	12	and	and	CCONJ
ajst-21764	141	13	its	its	PRON
ajst-21764	141	14	variants	variant	NOUN
ajst-21764	141	15	typically	typically	ADV
ajst-21764	141	16	focus	focus	VERB
ajst-21764	141	17	only	only	ADV
ajst-21764	141	18	on	on	ADP
ajst-21764	141	19	local	local	ADJ
ajst-21764	141	20	differences	difference	NOUN
ajst-21764	141	21	,	,	PUNCT
ajst-21764	141	22	neglecting	neglect	VERB
ajst-21764	141	23	the	the	DET
ajst-21764	141	24	extraction	extraction	NOUN
ajst-21764	141	25	of	of	ADP
ajst-21764	141	26	global	global	ADJ
ajst-21764	141	27	information	information	NOUN
ajst-21764	141	28	.	.	PUNCT
ajst-21764	142	1	therefore	therefore	ADV
ajst-21764	142	2	,	,	PUNCT
ajst-21764	142	3	this	this	DET
ajst-21764	142	4	paper	paper	NOUN
ajst-21764	142	5	introduces	introduce	VERB
ajst-21764	142	6	the	the	DET
ajst-21764	142	7	nmbp	nmbp	NOUN
ajst-21764	142	8	operator	operator	NOUN
ajst-21764	142	9	.	.	PUNCT
ajst-21764	143	1	the	the	DET
ajst-21764	143	2	approach	approach	NOUN
ajst-21764	143	3	in	in	ADP
ajst-21764	143	4	this	this	DET
ajst-21764	143	5	section	section	NOUN
ajst-21764	143	6	mainly	mainly	ADV
ajst-21764	143	7	involves	involve	VERB
ajst-21764	143	8	improvements	improvement	NOUN
ajst-21764	143	9	on	on	ADP
ajst-21764	143	10	the	the	DET
ajst-21764	143	11	nlbp	nlbp	PROPN
ajst-21764	143	12	operator	operator	NOUN
ajst-21764	143	13	within	within	ADP
ajst-21764	143	14	lgonbp	lgonbp	NOUN
ajst-21764	143	15	.	.	PUNCT
ajst-21764	144	1	herein	herein	NOUN
ajst-21764	144	2	,	,	PUNCT
ajst-21764	144	3	we	we	PRON
ajst-21764	144	4	will	will	AUX
ajst-21764	144	5	delve	delve	VERB
ajst-21764	144	6	into	into	ADP
ajst-21764	144	7	the	the	DET
ajst-21764	144	8	nmbp	nmbp	NOUN
ajst-21764	144	9	operator	operator	NOUN
ajst-21764	144	10	.	.	PUNCT
ajst-21764	145	1	specifically	specifically	ADV
ajst-21764	145	2	,	,	PUNCT
ajst-21764	145	3	the	the	DET
ajst-21764	145	4	image	image	NOUN
ajst-21764	145	5	undergoes	undergo	VERB
ajst-21764	145	6	median	median	PROPN
ajst-21764	145	7	filtering	filtering	NOUN
ajst-21764	145	8	,	,	PUNCT
ajst-21764	145	9	where	where	SCONJ
ajst-21764	145	10	the	the	DET
ajst-21764	145	11	median	median	NOUN
ajst-21764	145	12	of	of	ADP
ajst-21764	145	13	local	local	ADJ
ajst-21764	145	14	image	image	NOUN
ajst-21764	145	15	patches	patch	NOUN
ajst-21764	145	16	surrounding	surround	VERB
ajst-21764	145	17	all	all	DET
ajst-21764	145	18	neighboring	neighboring	NOUN
ajst-21764	145	19	pixels	pixel	NOUN
ajst-21764	145	20	is	be	AUX
ajst-21764	145	21	used	use	VERB
ajst-21764	145	22	as	as	ADP
ajst-21764	145	23	the	the	DET
ajst-21764	145	24	grayscale	grayscale	NOUN
ajst-21764	145	25	value	value	NOUN
ajst-21764	145	26	for	for	ADP
ajst-21764	145	27	each	each	DET
ajst-21764	145	28	pixel	pixel	NOUN
ajst-21764	145	29	.	.	PUNCT
ajst-21764	146	1	subsequently	subsequently	ADV
ajst-21764	146	2	,	,	PUNCT
ajst-21764	146	3	all	all	DET
ajst-21764	146	4	central	central	ADJ
ajst-21764	146	5	pixels	pixel	NOUN
ajst-21764	146	6	are	be	AUX
ajst-21764	146	7	uniformly	uniformly	ADV
ajst-21764	146	8	divided	divide	VERB
ajst-21764	146	9	into	into	ADP
ajst-21764	146	10	q	q	NOUN
ajst-21764	146	11	intervals	interval	NOUN
ajst-21764	146	12	,	,	PUNCT
ajst-21764	146	13	with	with	ADP
ajst-21764	146	14	an	an	DET
ajst-21764	146	15	anchor	anchor	NOUN
ajst-21764	146	16	point	point	NOUN
ajst-21764	146	17	set	set	VERB
ajst-21764	146	18	in	in	ADP
ajst-21764	146	19	each	each	DET
ajst-21764	146	20	interval	interval	NOUN
ajst-21764	146	21	,	,	PUNCT
ajst-21764	146	22	followed	follow	VERB
ajst-21764	146	23	by	by	ADP
ajst-21764	146	24	encoding	encode	VERB
ajst-21764	146	25	the	the	DET
ajst-21764	146	26	intensity	intensity	NOUN
ajst-21764	146	27	difference	difference	NOUN
ajst-21764	146	28	between	between	ADP
ajst-21764	146	29	all	all	DET
ajst-21764	146	30	neighboring	neighboring	NOUN
ajst-21764	146	31	pixels	pixel	NOUN
ajst-21764	146	32	and	and	CCONJ
ajst-21764	146	33	anchor	anchor	NOUN
ajst-21764	146	34	points	point	NOUN
ajst-21764	146	35	.	.	PUNCT
ajst-21764	147	1	the	the	DET
ajst-21764	147	2	distinction	distinction	NOUN
ajst-21764	147	3	from	from	ADP
ajst-21764	147	4	nlbp	nlbp	PROPN
ajst-21764	147	5	lies	lie	VERB
ajst-21764	147	6	in	in	ADP
ajst-21764	147	7	the	the	DET
ajst-21764	147	8	fact	fact	NOUN
ajst-21764	147	9	that	that	SCONJ
ajst-21764	147	10	nmbp	nmbp	NOUN
ajst-21764	147	11	undergoes	undergo	VERB
ajst-21764	147	12	thace	thace	NOUN
ajst-21764	147	13	image	image	NOUN
ajst-21764	147	14	processing	processing	NOUN
ajst-21764	147	15	beforehand	beforehand	ADV
ajst-21764	147	16	.	.	PUNCT
ajst-21764	148	1	when	when	SCONJ
ajst-21764	148	2	extracting	extract	VERB
ajst-21764	148	3	all	all	DET
ajst-21764	148	4	central	central	ADJ
ajst-21764	148	5	and	and	CCONJ
ajst-21764	148	6	neighboring	neighboring	NOUN
ajst-21764	148	7	pixels	pixel	NOUN
ajst-21764	148	8	,	,	PUNCT
ajst-21764	148	9	the	the	DET
ajst-21764	148	10	median	median	ADJ
ajst-21764	148	11	grayscale	grayscale	NOUN
ajst-21764	148	12	value	value	NOUN
ajst-21764	148	13	of	of	ADP
ajst-21764	148	14	their	their	PRON
ajst-21764	148	15	local	local	ADJ
ajst-21764	148	16	image	image	NOUN
ajst-21764	148	17	regions	region	NOUN
ajst-21764	148	18	is	be	AUX
ajst-21764	148	19	utilized	utilize	VERB
ajst-21764	148	20	as	as	ADP
ajst-21764	148	21	their	their	PRON
ajst-21764	148	22	pixel	pixel	PROPN
ajst-21764	148	23	grayscale	grayscale	NOUN
ajst-21764	148	24	values	value	NOUN
ajst-21764	148	25	.	.	PUNCT
ajst-21764	149	1	the	the	DET
ajst-21764	149	2	operational	operational	ADJ
ajst-21764	149	3	process	process	NOUN
ajst-21764	149	4	of	of	ADP
ajst-21764	149	5	the	the	DET
ajst-21764	149	6	nmbp	nmbp	NOUN
ajst-21764	149	7	operator	operator	NOUN
ajst-21764	149	8	is	be	AUX
ajst-21764	149	9	as	as	SCONJ
ajst-21764	149	10	follows	follow	VERB
ajst-21764	149	11	:	:	PUNCT
ajst-21764	149	12	for	for	ADP
ajst-21764	149	13	the	the	DET
ajst-21764	149	14	central	central	ADJ
ajst-21764	149	15	pixel	pixel	NOUN
ajst-21764	149	16	x	x	PUNCT
ajst-21764	149	17	located	locate	VERB
ajst-21764	149	18	in	in	ADP
ajst-21764	149	19	the	the	DET
ajst-21764	149	20	image	image	NOUN
ajst-21764	149	21	i	i	PRON
ajst-21764	149	22	,	,	PUNCT
ajst-21764	149	23	the	the	DET
ajst-21764	149	24	median	median	ADJ
ajst-21764	149	25	calculation	calculation	NOUN
ajst-21764	149	26	of	of	ADP
ajst-21764	149	27	all	all	DET
ajst-21764	149	28	pixels	pixel	NOUN
ajst-21764	149	29	therein	therein	ADV
ajst-21764	149	30	is	be	AUX
ajst-21764	149	31	defined	define	VERB
ajst-21764	149	32	as	as	ADP
ajst-21764	149	33	:	:	PUNCT
ajst-21764	149	34			NOUN
ajst-21764	149	35	,cmed	,cme	VERB
ajst-21764	149	36	c	c	X
ajst-21764	149	37	wg	wg	PRON
ajst-21764	149	38	g	g	NOUN
ajst-21764	149	39	(	(	PUNCT
ajst-21764	149	40	12	12	NUM
ajst-21764	149	41	)	)	PUNCT
ajst-21764	149	42			NOUN
ajst-21764	149	43			PROPN
ajst-21764	149	44	,	,	PUNCT
ajst-21764	149	45	,	,	PUNCT
ajst-21764	149	46	,	,	PUNCT
ajst-21764	149	47	r	r	NOUN
ajst-21764	149	48	pmed	pmed	NOUN
ajst-21764	149	49	r	r	NOUN
ajst-21764	149	50	p	p	NOUN
ajst-21764	149	51	wg	wg	NOUN
ajst-21764	149	52	g	g	NOUN
ajst-21764	149	53	(	(	PUNCT
ajst-21764	149	54	13	13	NUM
ajst-21764	149	55	)	)	PUNCT
ajst-21764	149	56	where	where	SCONJ
ajst-21764	149	57	𝐺	𝐺	PROPN
ajst-21764	149	58	,	,	PUNCT
ajst-21764	149	59	represents	represent	VERB
ajst-21764	149	60	the	the	DET
ajst-21764	149	61	local	local	ADJ
ajst-21764	149	62	image	image	NOUN
ajst-21764	149	63	block	block	NOUN
ajst-21764	149	64	of	of	ADP
ajst-21764	149	65	size	size	NOUN
ajst-21764	149	66	𝑤	𝑤	ADP
ajst-21764	149	67	𝑤	𝑤	NOUN
ajst-21764	149	68	centered	center	VERB
ajst-21764	149	69	at	at	ADP
ajst-21764	149	70	x	x	X
ajst-21764	149	71	,	,	PUNCT
ajst-21764	149	72	𝐺	𝐺	PROPN
ajst-21764	149	73	,	,	PUNCT
ajst-21764	149	74	,	,	PUNCT
ajst-21764	149	75	represents	represent	VERB
ajst-21764	149	76	the	the	DET
ajst-21764	149	77	local	local	ADJ
ajst-21764	149	78	image	image	NOUN
ajst-21764	149	79	block	block	NOUN
ajst-21764	149	80	surrounding	surround	VERB
ajst-21764	149	81	the	the	DET
ajst-21764	149	82	p	p	NOUN
ajst-21764	149	83	-	-	PUNCT
ajst-21764	149	84	th	th	VERB
ajst-21764	149	85	neighboring	neighboring	NOUN
ajst-21764	149	86	pixel	pixel	NOUN
ajst-21764	149	87	,	,	PUNCT
ajst-21764	149	88	and	and	CCONJ
ajst-21764	149	89	𝜃	𝜃	X
ajst-21764	149	90	∙	∙	NOUN
ajst-21764	149	91	is	be	AUX
ajst-21764	149	92	the	the	DET
ajst-21764	149	93	operation	operation	NOUN
ajst-21764	149	94	function	function	NOUN
ajst-21764	149	95	,	,	PUNCT
ajst-21764	149	96	i.e.	i.e.	X
ajst-21764	149	97	,	,	PUNCT
ajst-21764	149	98	the	the	DET
ajst-21764	149	99	median	median	ADJ
ajst-21764	149	100	grayscale	grayscale	NOUN
ajst-21764	149	101	value	value	NOUN
ajst-21764	149	102	function	function	NOUN
ajst-21764	149	103	.	.	PUNCT
ajst-21764	150	1	the	the	DET
ajst-21764	150	2	grayscale	grayscale	NOUN
ajst-21764	150	3	magnitudes	magnitude	NOUN
ajst-21764	150	4	of	of	ADP
ajst-21764	150	5	all	all	DET
ajst-21764	150	6	central	central	ADJ
ajst-21764	150	7	pixels	pixel	NOUN
ajst-21764	150	8	x	x	VERB
ajst-21764	150	9	within	within	ADP
ajst-21764	150	10	image	image	NOUN
ajst-21764	150	11	i	i	PRON
ajst-21764	150	12	are	be	AUX
ajst-21764	150	13	arranged	arrange	VERB
ajst-21764	150	14	in	in	ADP
ajst-21764	150	15	ascending	ascend	VERB
ajst-21764	150	16	order	order	NOUN
ajst-21764	150	17	,	,	PUNCT
ajst-21764	150	18	defined	define	VERB
ajst-21764	150	19	as	as	ADP
ajst-21764	150	20	:	:	PUNCT
ajst-21764	150	21	𝑔′	𝑔′	NUM
ajst-21764	150	22	,	,	PUNCT
ajst-21764	150	23	…	…	PUNCT
ajst-21764	150	24	,	,	PUNCT
ajst-21764	150	25	𝑔′	𝑔′	X
ajst-21764	150	26	≔	≔	NOUN
ajst-21764	150	27	𝑠𝑜𝑟𝑡	𝑠𝑜𝑟𝑡	NOUN
ajst-21764	150	28	𝑔	𝑔	PROPN
ajst-21764	150	29	,	,	PUNCT
ajst-21764	150	30	…	…	PUNCT
ajst-21764	150	31	,	,	PUNCT
ajst-21764	150	32	𝑔	𝑔	X
ajst-21764	150	33	(	(	PUNCT
ajst-21764	150	34	14	14	NUM
ajst-21764	150	35	)	)	PUNCT
ajst-21764	150	36	where	where	SCONJ
ajst-21764	150	37	,	,	PUNCT
ajst-21764	150	38	sort(∙	sort(∙	NOUN
ajst-21764	150	39	)	)	PUNCT
ajst-21764	150	40	denotes	denote	VERB
ajst-21764	150	41	the	the	DET
ajst-21764	150	42	built	build	VERB
ajst-21764	150	43	-	-	PUNCT
ajst-21764	150	44	in	in	ADP
ajst-21764	150	45	function	function	NOUN
ajst-21764	150	46	for	for	ADP
ajst-21764	150	47	ascending	ascend	VERB
ajst-21764	150	48	sorting	sorting	NOUN
ajst-21764	150	49	,	,	PUNCT
ajst-21764	150	50	𝑔	𝑔	PROPN
ajst-21764	150	51	represents	represent	VERB
ajst-21764	150	52	the	the	DET
ajst-21764	150	53	median	median	ADJ
ajst-21764	150	54	grayscale	grayscale	NOUN
ajst-21764	150	55	value	value	NOUN
ajst-21764	150	56	of	of	ADP
ajst-21764	150	57	central	central	ADJ
ajst-21764	150	58	pixel	pixel	PROPN
ajst-21764	150	59	x	x	X
ajst-21764	150	60	,	,	PUNCT
ajst-21764	150	61	m	m	VERB
ajst-21764	150	62	stands	stand	VERB
ajst-21764	150	63	for	for	ADP
ajst-21764	150	64	the	the	DET
ajst-21764	150	65	number	number	NOUN
ajst-21764	150	66	of	of	ADP
ajst-21764	150	67	central	central	ADJ
ajst-21764	150	68	pixels	pixel	NOUN
ajst-21764	150	69	,	,	PUNCT
ajst-21764	150	70	and	and	CCONJ
ajst-21764	150	71	𝑔	𝑔	PROPN
ajst-21764	150	72	denotes	denote	NOUN
ajst-21764	150	73	the	the	DET
ajst-21764	150	74	median	median	ADJ
ajst-21764	150	75	grayscale	grayscale	NOUN
ajst-21764	150	76	value	value	NOUN
ajst-21764	150	77	of	of	ADP
ajst-21764	150	78	the	the	DET
ajst-21764	150	79	m	m	PROPN
ajst-21764	150	80	-	-	PUNCT
ajst-21764	150	81	th	th	VERB
ajst-21764	150	82	central	central	ADJ
ajst-21764	150	83	pixel	pixel	NOUN
ajst-21764	150	84	.	.	PUNCT
ajst-21764	151	1	next	next	ADV
ajst-21764	151	2	,	,	PUNCT
ajst-21764	151	3	the	the	DET
ajst-21764	151	4	sorted	sorted	ADJ
ajst-21764	151	5	pixels	pixel	NOUN
ajst-21764	151	6	mentioned	mention	VERB
ajst-21764	151	7	above	above	ADV
ajst-21764	151	8	are	be	AUX
ajst-21764	151	9	equally	equally	ADV
ajst-21764	151	10	divided	divide	VERB
ajst-21764	151	11	into	into	ADP
ajst-21764	151	12	q	q	NOUN
ajst-21764	151	13	intervals	interval	NOUN
ajst-21764	151	14	,	,	PUNCT
ajst-21764	151	15	and	and	CCONJ
ajst-21764	151	16	then	then	ADV
ajst-21764	151	17	the	the	DET
ajst-21764	151	18	anchor	anchor	NOUN
ajst-21764	151	19	points	point	VERB
ajst-21764	151	20	for	for	ADP
ajst-21764	151	21	each	each	DET
ajst-21764	151	22	interval	interval	NOUN
ajst-21764	151	23	are	be	AUX
ajst-21764	151	24	computed	compute	VERB
ajst-21764	151	25	,	,	PUNCT
ajst-21764	151	26	defined	define	VERB
ajst-21764	151	27	as	as	ADP
ajst-21764	151	28	:	:	PUNCT
ajst-21764	151	29	𝑔	𝑔	PROPN
ajst-21764	151	30	/	/	SYM
ajst-21764	151	31	∑	∑	PROPN
ajst-21764	151	32	𝑔⌊	𝑔⌊	PROPN
ajst-21764	151	33	/	/	SYM
ajst-21764	151	34	⌋	⌋	NOUN
ajst-21764	151	35	⌊	⌊	PROPN
ajst-21764	151	36	/	/	SYM
ajst-21764	151	37	⌋	⌋	NOUN
ajst-21764	151	38	(	(	PUNCT
ajst-21764	151	39	15	15	NUM
ajst-21764	151	40	)	)	PUNCT
ajst-21764	151	41	where	where	SCONJ
ajst-21764	151	42	𝑔	𝑔	PROPN
ajst-21764	151	43	represents	represent	VERB
ajst-21764	151	44	grayscale	grayscale	NOUN
ajst-21764	151	45	value	value	NOUN
ajst-21764	151	46	magnitude	magnitude	NOUN
ajst-21764	151	47	of	of	ADP
ajst-21764	151	48	the	the	DET
ajst-21764	151	49	qth	qth	NOUN
ajst-21764	151	50	anchor	anchor	NOUN
ajst-21764	151	51	point	point	NOUN
ajst-21764	151	52	(	(	PUNCT
ajst-21764	151	53	𝑞	𝑞	NOUN
ajst-21764	151	54	1,2,3	1,2,3	NUM
ajst-21764	151	55	,	,	PUNCT
ajst-21764	151	56	…	…	PUNCT
ajst-21764	151	57	,	,	PUNCT
ajst-21764	151	58	𝑄	𝑄	PROPN
ajst-21764	151	59	)	)	PUNCT
ajst-21764	151	60	,	,	PUNCT
ajst-21764	151	61	and	and	CCONJ
ajst-21764	151	62	⌊∙⌋	⌊∙⌋	ADJ
ajst-21764	151	63	denotes	denote	VERB
ajst-21764	151	64	the	the	DET
ajst-21764	151	65	floor	floor	NOUN
ajst-21764	151	66	function	function	NOUN
ajst-21764	151	67	,	,	PUNCT
ajst-21764	151	68	indicating	indicate	VERB
ajst-21764	151	69	the	the	DET
ajst-21764	151	70	largest	large	ADJ
ajst-21764	151	71	integer	integer	NOUN
ajst-21764	151	72	less	less	ADJ
ajst-21764	151	73	than	than	ADP
ajst-21764	151	74	m	m	PROPN
ajst-21764	151	75	/	/	SYM
ajst-21764	151	76	q.	q.	PROPN
ajst-21764	151	77	each	each	DET
ajst-21764	151	78	anchor	anchor	NOUN
ajst-21764	151	79	point	point	NOUN
ajst-21764	151	80	is	be	AUX
ajst-21764	151	81	represented	represent	VERB
ajst-21764	151	82	by	by	ADP
ajst-21764	151	83	the	the	DET
ajst-21764	151	84	median	median	ADJ
ajst-21764	151	85	grayscale	grayscale	NOUN
ajst-21764	151	86	value	value	NOUN
ajst-21764	151	87	of	of	ADP
ajst-21764	151	88	all	all	DET
ajst-21764	151	89	central	central	ADJ
ajst-21764	151	90	pixels	pixel	NOUN
ajst-21764	151	91	in	in	ADP
ajst-21764	151	92	each	each	DET
ajst-21764	151	93	interval	interval	NOUN
ajst-21764	151	94	.	.	PUNCT
ajst-21764	152	1	setting	set	VERB
ajst-21764	152	2	anchor	anchor	NOUN
ajst-21764	152	3	points	point	NOUN
ajst-21764	152	4	facilitates	facilitate	VERB
ajst-21764	152	5	the	the	DET
ajst-21764	152	6	extraction	extraction	NOUN
ajst-21764	152	7	of	of	ADP
ajst-21764	152	8	global	global	ADJ
ajst-21764	152	9	image	image	NOUN
ajst-21764	152	10	features	feature	NOUN
ajst-21764	152	11	.	.	PUNCT
ajst-21764	153	1	fig	fig	NOUN
ajst-21764	153	2	.	.	PUNCT
ajst-21764	154	1	2	2	NUM
ajst-21764	154	2	provides	provide	VERB
ajst-21764	154	3	a	a	DET
ajst-21764	154	4	structural	structural	ADJ
ajst-21764	154	5	comparison	comparison	NOUN
ajst-21764	154	6	between	between	ADP
ajst-21764	154	7	lbp	lbp	NOUN
ajst-21764	154	8	and	and	CCONJ
ajst-21764	154	9	nmbp	nmbp	NOUN
ajst-21764	154	10	.	.	PUNCT
ajst-21764	155	1	fig	fig	NOUN
ajst-21764	155	2	.	.	PUNCT
ajst-21764	156	1	2-(a	2-(a	NUM
ajst-21764	156	2	)	)	PUNCT
ajst-21764	156	3	illustrates	illustrate	VERB
ajst-21764	156	4	the	the	DET
ajst-21764	156	5	sampling	sample	VERB
ajst-21764	156	6	structure	structure	NOUN
ajst-21764	156	7	of	of	ADP
ajst-21764	156	8	the	the	DET
ajst-21764	156	9	original	original	ADJ
ajst-21764	156	10	lbp	lbp	NOUN
ajst-21764	156	11	,	,	PUNCT
ajst-21764	156	12	which	which	PRON
ajst-21764	156	13	simply	simply	ADV
ajst-21764	156	14	calculates	calculate	VERB
ajst-21764	156	15	the	the	DET
ajst-21764	156	16	differential	differential	ADJ
ajst-21764	156	17	information	information	NOUN
ajst-21764	156	18	between	between	ADP
ajst-21764	156	19	the	the	DET
ajst-21764	156	20	central	central	ADJ
ajst-21764	156	21	pixel	pixel	NOUN
ajst-21764	156	22	and	and	CCONJ
ajst-21764	156	23	its	its	PRON
ajst-21764	156	24	8	8	NUM
ajst-21764	156	25	neighboring	neighboring	NOUN
ajst-21764	156	26	pixels	pixel	NOUN
ajst-21764	156	27	,	,	PUNCT
ajst-21764	156	28	resulting	result	VERB
ajst-21764	156	29	in	in	ADP
ajst-21764	156	30	limited	limited	ADJ
ajst-21764	156	31	information	information	NOUN
ajst-21764	156	32	and	and	CCONJ
ajst-21764	156	33	inadequate	inadequate	ADJ
ajst-21764	156	34	spatial	spatial	ADJ
ajst-21764	156	35	support	support	NOUN
ajst-21764	156	36	.	.	PUNCT
ajst-21764	157	1	in	in	ADP
ajst-21764	157	2	contrast	contrast	NOUN
ajst-21764	157	3	,	,	PUNCT
ajst-21764	157	4	fig	fig	NOUN
ajst-21764	157	5	.	.	PUNCT
ajst-21764	157	6	2-(b	2-(b	NUM
ajst-21764	157	7	)	)	PUNCT
ajst-21764	157	8	depicts	depict	VERB
ajst-21764	157	9	the	the	DET
ajst-21764	157	10	sampling	sample	VERB
ajst-21764	157	11	structure	structure	NOUN
ajst-21764	157	12	of	of	ADP
ajst-21764	157	13	nmbp	nmbp	NOUN
ajst-21764	157	14	,	,	PUNCT
ajst-21764	157	15	which	which	PRON
ajst-21764	157	16	first	first	ADV
ajst-21764	157	17	calculates	calculate	VERB
ajst-21764	157	18	the	the	DET
ajst-21764	157	19	median	median	NOUN
ajst-21764	157	20	of	of	ADP
ajst-21764	157	21	the	the	DET
ajst-21764	157	22	pixels	pixel	NOUN
ajst-21764	157	23	surrounding	surround	VERB
ajst-21764	157	24	each	each	DET
ajst-21764	157	25	neighboring	neighboring	NOUN
ajst-21764	157	26	pixel	pixel	NOUN
ajst-21764	157	27	and	and	CCONJ
ajst-21764	157	28	the	the	DET
ajst-21764	157	29	central	central	ADJ
ajst-21764	157	30	pixel	pixel	NOUN
ajst-21764	157	31	.	.	PUNCT
ajst-21764	158	1	these	these	DET
ajst-21764	158	2	medians	median	NOUN
ajst-21764	158	3	are	be	AUX
ajst-21764	158	4	then	then	ADV
ajst-21764	158	5	used	use	VERB
ajst-21764	158	6	as	as	ADP
ajst-21764	158	7	their	their	PRON
ajst-21764	158	8	respective	respective	ADJ
ajst-21764	158	9	grayscale	grayscale	NOUN
ajst-21764	158	10	values	value	NOUN
ajst-21764	158	11	.	.	PUNCT
ajst-21764	159	1	it	it	PRON
ajst-21764	159	2	is	be	AUX
ajst-21764	159	3	evident	evident	ADJ
ajst-21764	159	4	that	that	SCONJ
ajst-21764	159	5	nmbp	nmbp	NOUN
ajst-21764	159	6	captures	capture	VERB
ajst-21764	159	7	larger	large	ADJ
ajst-21764	159	8	spatial	spatial	ADJ
ajst-21764	159	9	scale	scale	NOUN
ajst-21764	159	10	information	information	NOUN
ajst-21764	159	11	compared	compare	VERB
ajst-21764	159	12	to	to	ADP
ajst-21764	159	13	lbp	lbp	PROPN
ajst-21764	159	14	.	.	PUNCT
ajst-21764	160	1	gr	gr	PROPN
ajst-21764	160	2	,	,	PUNCT
ajst-21764	160	3	c	c	NOUN
ajst-21764	160	4	r	r	NOUN
ajst-21764	160	5	gr,0	gr,0	PROPN
ajst-21764	160	6	gr,1	gr,1	NOUN
ajst-21764	160	7	gr,2	gr,2	NOUN
ajst-21764	160	8	gr,3	gr,3	NOUN
ajst-21764	160	9	gr,4	gr,4	VERB
ajst-21764	160	10	gr,5	gr,5	PROPN
ajst-21764	160	11	gr,6	gr,6	PROPN
ajst-21764	160	12	gr,7	gr,7	VERB
ajst-21764	160	13	gr	gr	PROPN
ajst-21764	160	14	,	,	PUNCT
ajst-21764	160	15	c	c	NOUN
ajst-21764	160	16	r	r	NOUN
ajst-21764	160	17	gr,0	gr,0	PROPN
ajst-21764	160	18	gr,1	gr,1	NOUN
ajst-21764	160	19	gr,2	gr,2	NOUN
ajst-21764	160	20	gr,3	gr,3	NOUN
ajst-21764	160	21	gr,4	gr,4	VERB
ajst-21764	160	22	gr,5	gr,5	PROPN
ajst-21764	160	23	gr,6	gr,6	PROPN
ajst-21764	160	24	gr,7	gr,7	PROPN
ajst-21764	160	25	gmedr	gmedr	PROPN
ajst-21764	160	26	,	,	PUNCT
ajst-21764	160	27	c	c	PROPN
ajst-21764	160	28	r	r	NOUN
ajst-21764	160	29	gmedr,0	gmedr,0	VERB
ajst-21764	160	30	gmedr,1	gmedr,1	NOUN
ajst-21764	160	31	gmedr,2	gmedr,2	NOUN
ajst-21764	160	32	gmedr,3	gmedr,3	NOUN
ajst-21764	160	33	gmedr,4	gmedr,4	NOUN
ajst-21764	160	34	gmedr,5	gmedr,5	X
ajst-21764	160	35	gmedr,6	gmedr,6	NOUN
ajst-21764	160	36	gmedr,7	gmedr,7	NOUN
ajst-21764	160	37	(	(	PUNCT
ajst-21764	160	38	a	a	NOUN
ajst-21764	160	39	)	)	PUNCT
ajst-21764	160	40	(	(	PUNCT
ajst-21764	160	41	b	b	X
ajst-21764	160	42	)	)	PUNCT
ajst-21764	160	43	figure	figure	NOUN
ajst-21764	160	44	2	2	NUM
ajst-21764	160	45	.	.	NOUN
ajst-21764	160	46	sampling	sample	VERB
ajst-21764	160	47	structures	structure	NOUN
ajst-21764	160	48	of	of	ADP
ajst-21764	160	49	lbp	lbp	PROPN
ajst-21764	160	50	and	and	CCONJ
ajst-21764	160	51	lenmp	lenmp	PROPN
ajst-21764	160	52	,	,	PUNCT
ajst-21764	160	53	(	(	PUNCT
ajst-21764	160	54	a	a	X
ajst-21764	160	55	)	)	PUNCT
ajst-21764	160	56	represents	represent	VERB
ajst-21764	160	57	the	the	DET
ajst-21764	160	58	lbp	lbp	NOUN
ajst-21764	160	59	sampling	sample	VERB
ajst-21764	160	60	structure	structure	NOUN
ajst-21764	160	61	,	,	PUNCT
ajst-21764	160	62	(	(	PUNCT
ajst-21764	160	63	b	b	X
ajst-21764	160	64	)	)	PUNCT
ajst-21764	160	65	represents	represent	VERB
ajst-21764	160	66	the	the	DET
ajst-21764	160	67	lenmp	lenmp	ADJ
ajst-21764	160	68	sampling	sample	VERB
ajst-21764	160	69	structure	structure	NOUN
ajst-21764	160	70	.	.	PUNCT
ajst-21764	161	1	fig	fig	NOUN
ajst-21764	161	2	.	.	PUNCT
ajst-21764	162	1	3	3	NUM
ajst-21764	162	2	depicts	depict	VERB
ajst-21764	162	3	the	the	DET
ajst-21764	162	4	workflow	workflow	NOUN
ajst-21764	162	5	of	of	ADP
ajst-21764	162	6	lenmp	lenmp	PROPN
ajst-21764	162	7	.	.	PUNCT
ajst-21764	163	1	initially	initially	ADV
ajst-21764	163	2	,	,	PUNCT
ajst-21764	163	3	the	the	DET
ajst-21764	163	4	image	image	NOUN
ajst-21764	163	5	undergoes	undergo	VERB
ajst-21764	163	6	adaptive	adaptive	ADJ
ajst-21764	163	7	contrast	contrast	NOUN
ajst-21764	163	8	enhancement	enhancement	NOUN
ajst-21764	163	9	through	through	ADP
ajst-21764	163	10	thace	thace	NOUN
ajst-21764	163	11	to	to	PART
ajst-21764	163	12	extract	extract	VERB
ajst-21764	163	13	high	high	ADJ
ajst-21764	163	14	-	-	PUNCT
ajst-21764	163	15	frequency	frequency	NOUN
ajst-21764	163	16	information	information	NOUN
ajst-21764	163	17	.	.	PUNCT
ajst-21764	164	1	subsequently	subsequently	ADV
ajst-21764	164	2	,	,	PUNCT
ajst-21764	164	3	median	median	ADJ
ajst-21764	164	4	extraction	extraction	NOUN
ajst-21764	164	5	is	be	AUX
ajst-21764	164	6	applied	apply	VERB
ajst-21764	164	7	separately	separately	ADV
ajst-21764	164	8	to	to	ADP
ajst-21764	164	9	the	the	DET
ajst-21764	164	10	lep	lep	PROPN
ajst-21764	164	11	and	and	CCONJ
ajst-21764	164	12	nmbp	nmbp	VERB
ajst-21764	164	13	operators	operator	NOUN
ajst-21764	164	14	.	.	PUNCT
ajst-21764	165	1	the	the	DET
ajst-21764	165	2	lep	lep	PROPN
ajst-21764	165	3	operator	operator	NOUN
ajst-21764	165	4	extracts	extract	NOUN
ajst-21764	165	5	symbol	symbol	NOUN
ajst-21764	165	6	and	and	CCONJ
ajst-21764	165	7	amplitude	amplitude	NOUN
ajst-21764	165	8	components	component	NOUN
ajst-21764	165	9	,	,	PUNCT
ajst-21764	165	10	i.e.	i.e.	X
ajst-21764	165	11	,	,	PUNCT
ajst-21764	165	12	local	local	ADJ
ajst-21764	165	13	information	information	NOUN
ajst-21764	165	14	.	.	PUNCT
ajst-21764	166	1	the	the	DET
ajst-21764	166	2	nmbp	nmbp	NOUN
ajst-21764	166	3	operator	operator	NOUN
ajst-21764	166	4	captures	capture	VERB
ajst-21764	166	5	global	global	ADJ
ajst-21764	166	6	image	image	NOUN
ajst-21764	166	7	information	information	NOUN
ajst-21764	166	8	,	,	PUNCT
ajst-21764	166	9	with	with	ADP
ajst-21764	166	10	the	the	DET
ajst-21764	166	11	two	two	NUM
ajst-21764	166	12	operators	operator	NOUN
ajst-21764	166	13	complementing	complement	VERB
ajst-21764	166	14	each	each	DET
ajst-21764	166	15	other	other	ADJ
ajst-21764	166	16	.	.	PUNCT
ajst-21764	167	1	finally	finally	ADV
ajst-21764	167	2	,	,	PUNCT
ajst-21764	167	3	they	they	PRON
ajst-21764	167	4	are	be	AUX
ajst-21764	167	5	concatenated	concatenate	VERB
ajst-21764	167	6	to	to	PART
ajst-21764	167	7	form	form	VERB
ajst-21764	167	8	the	the	DET
ajst-21764	167	9	lenmp	lenmp	NOUN
ajst-21764	167	10	descriptor	descriptor	NOUN
ajst-21764	167	11	.	.	PUNCT
ajst-21764	168	1	the	the	DET
ajst-21764	168	2	histogram	histogram	NOUN
ajst-21764	168	3	representation	representation	NOUN
ajst-21764	168	4	of	of	ADP
ajst-21764	168	5	the	the	DET
ajst-21764	168	6	cascaded	cascade	VERB
ajst-21764	168	7	lenmp	lenmp	NOUN
ajst-21764	168	8	descriptor	descriptor	NOUN
ajst-21764	168	9	is	be	AUX
ajst-21764	168	10	as	as	SCONJ
ajst-21764	168	11	follows	follow	VERB
ajst-21764	168	12	(	(	PUNCT
ajst-21764	168	13	experimentally	experimentally	ADV
ajst-21764	168	14	,	,	PUNCT
ajst-21764	168	15	in	in	ADP
ajst-21764	168	16	this	this	DET
ajst-21764	168	17	paper	paper	NOUN
ajst-21764	168	18	,	,	PUNCT
ajst-21764	168	19	the	the	DET
ajst-21764	168	20	scale	scale	NOUN
ajst-21764	168	21	selection	selection	NOUN
ajst-21764	168	22	for	for	ADP
ajst-21764	168	23	the	the	DET
ajst-21764	168	24	lenmp	lenmp	PROPN
ajst-21764	168	25	descriptor	descriptor	NOUN
ajst-21764	168	26	is	be	AUX
ajst-21764	168	27	set	set	VERB
ajst-21764	168	28	to	to	ADP
ajst-21764	168	29	r=1	r=1	NOUN
ajst-21764	168	30	,	,	PUNCT
ajst-21764	168	31	p=8	p=8	NUM
ajst-21764	168	32	):	):	PUNCT
ajst-21764	168	33	92	92	NUM
ajst-21764	168	34	thace	thace	NOUN
ajst-21764	168	35	lep_s	lep_s	ADJ
ajst-21764	168	36	lep_m	lep_m	NOUN
ajst-21764	168	37	nmbp	nmbp	NOUN
ajst-21764	168	38	lenmp	lenmp	PROPN
ajst-21764	168	39	figure	figure	NOUN
ajst-21764	168	40	3	3	NUM
ajst-21764	168	41	.	.	PUNCT
ajst-21764	168	42	structure	structure	NOUN
ajst-21764	168	43	diagram	diagram	NOUN
ajst-21764	168	44	of	of	ADP
ajst-21764	168	45	lenmp	lenmp	PROPN
ajst-21764	168	46	4	4	NUM
ajst-21764	168	47	.	.	PUNCT
ajst-21764	168	48	experiments	experiment	NOUN
ajst-21764	168	49	in	in	ADP
ajst-21764	168	50	this	this	DET
ajst-21764	168	51	section	section	NOUN
ajst-21764	169	1	,	,	PUNCT
ajst-21764	169	2	we	we	PRON
ajst-21764	169	3	conduct	conduct	VERB
ajst-21764	169	4	a	a	DET
ajst-21764	169	5	series	series	NOUN
ajst-21764	169	6	of	of	ADP
ajst-21764	169	7	comparative	comparative	ADJ
ajst-21764	169	8	experiments	experiment	NOUN
ajst-21764	169	9	on	on	ADP
ajst-21764	169	10	multiple	multiple	ADJ
ajst-21764	169	11	representative	representative	ADJ
ajst-21764	169	12	datasets	dataset	NOUN
ajst-21764	169	13	(	(	PUNCT
ajst-21764	169	14	outex	outex	PROPN
ajst-21764	169	15	,	,	PUNCT
ajst-21764	169	16	curet	curet	ADJ
ajst-21764	169	17	,	,	PUNCT
ajst-21764	169	18	brodatz	brodatz	PROPN
ajst-21764	169	19	,	,	PUNCT
ajst-21764	169	20	kth	kth	NOUN
ajst-21764	169	21	-	-	PUNCT
ajst-21764	169	22	tips	tip	NOUN
ajst-21764	169	23	,	,	PUNCT
ajst-21764	169	24	and	and	CCONJ
ajst-21764	169	25	kylberg	kylberg	PROPN
ajst-21764	169	26	)	)	PUNCT
ajst-21764	169	27	with	with	ADP
ajst-21764	169	28	various	various	ADJ
ajst-21764	169	29	methods	method	NOUN
ajst-21764	169	30	.	.	PUNCT
ajst-21764	170	1	among	among	ADP
ajst-21764	170	2	them	they	PRON
ajst-21764	170	3	,	,	PUNCT
ajst-21764	170	4	four	four	NUM
ajst-21764	170	5	subsets	subset	NOUN
ajst-21764	170	6	of	of	ADP
ajst-21764	170	7	the	the	DET
ajst-21764	170	8	outex	outex	NOUN
ajst-21764	170	9	dataset	dataset	NOUN
ajst-21764	170	10	(	(	PUNCT
ajst-21764	170	11	tc0	tc0	NOUN
ajst-21764	170	12	,	,	PUNCT
ajst-21764	170	13	tc3	tc3	NOUN
ajst-21764	170	14	,	,	PUNCT
ajst-21764	170	15	tc10	tc10	PROPN
ajst-21764	170	16	,	,	PUNCT
ajst-21764	170	17	and	and	CCONJ
ajst-21764	170	18	tc11	tc11	PROPN
ajst-21764	170	19	)	)	PUNCT
ajst-21764	170	20	are	be	AUX
ajst-21764	170	21	utilized	utilize	VERB
ajst-21764	170	22	to	to	PART
ajst-21764	170	23	validate	validate	VERB
ajst-21764	170	24	the	the	DET
ajst-21764	170	25	discriminative	discriminative	NOUN
ajst-21764	170	26	ability	ability	NOUN
ajst-21764	170	27	of	of	ADP
ajst-21764	170	28	the	the	DET
ajst-21764	170	29	lenmp	lenmp	ADJ
ajst-21764	170	30	descriptor	descriptor	NOUN
ajst-21764	170	31	in	in	ADP
ajst-21764	170	32	feature	feature	NOUN
ajst-21764	170	33	extraction	extraction	NOUN
ajst-21764	170	34	and	and	CCONJ
ajst-21764	170	35	its	its	PRON
ajst-21764	170	36	robustness	robustness	NOUN
ajst-21764	170	37	to	to	AUX
ajst-21764	170	38	noise	noise	VERB
ajst-21764	170	39	.	.	PUNCT
ajst-21764	171	1	4.1	4.1	NUM
ajst-21764	171	2	.	.	PUNCT
ajst-21764	171	3	texture	texture	ADJ
ajst-21764	171	4	datasets	dataset	NOUN
ajst-21764	171	5	and	and	CCONJ
ajst-21764	171	6	experimental	experimental	ADJ
ajst-21764	171	7	settings	setting	NOUN
ajst-21764	171	8	4.1.1	4.1.1	NUM
ajst-21764	171	9	.	.	PUNCT
ajst-21764	172	1	texture	texture	NOUN
ajst-21764	172	2	datasets	dataset	VERB
ajst-21764	172	3	the	the	DET
ajst-21764	172	4	outex	outex	ADJ
ajst-21764	172	5	texture	texture	NOUN
ajst-21764	172	6	dataset	dataset	VERB
ajst-21764	173	1	[	[	X
ajst-21764	173	2	24	24	NUM
ajst-21764	173	3	]	]	PUNCT
ajst-21764	173	4	comprises	comprise	VERB
ajst-21764	173	5	17	17	NUM
ajst-21764	173	6	sub	sub	NOUN
ajst-21764	173	7	-	-	NOUN
ajst-21764	173	8	datasets	dataset	NOUN
ajst-21764	173	9	.	.	PUNCT
ajst-21764	174	1	in	in	ADP
ajst-21764	174	2	this	this	DET
ajst-21764	174	3	study	study	NOUN
ajst-21764	174	4	,	,	PUNCT
ajst-21764	174	5	experiments	experiment	NOUN
ajst-21764	174	6	were	be	AUX
ajst-21764	174	7	conducted	conduct	VERB
ajst-21764	174	8	on	on	ADP
ajst-21764	174	9	outextc_00000	outextc_00000	PROPN
ajst-21764	174	10	(	(	PUNCT
ajst-21764	174	11	tc0	tc0	NOUN
ajst-21764	174	12	)	)	PUNCT
ajst-21764	174	13	,	,	PUNCT
ajst-21764	174	14	outextc_00003	outextc_00003	X
ajst-21764	174	15	(	(	PUNCT
ajst-21764	174	16	tc3	tc3	NOUN
ajst-21764	174	17	)	)	PUNCT
ajst-21764	174	18	,	,	PUNCT
ajst-21764	174	19	outextc_00010	outextc_00010	NOUN
ajst-21764	174	20	(	(	PUNCT
ajst-21764	174	21	tc10	tc10	PROPN
ajst-21764	174	22	)	)	PUNCT
ajst-21764	174	23	,	,	PUNCT
ajst-21764	174	24	and	and	CCONJ
ajst-21764	174	25	outextc_00011	outextc_00011	INTJ
ajst-21764	174	26	(	(	PUNCT
ajst-21764	174	27	tc11	tc11	PROPN
ajst-21764	174	28	)	)	PUNCT
ajst-21764	174	29	.	.	PUNCT
ajst-21764	175	1	the	the	DET
ajst-21764	175	2	curet	curet	ADJ
ajst-21764	175	3	dataset	dataset	NOUN
ajst-21764	175	4	[	[	X
ajst-21764	175	5	25]contains	25]contains	NUM
ajst-21764	175	6	61	61	NUM
ajst-21764	175	7	texture	texture	ADJ
ajst-21764	175	8	types	type	NOUN
ajst-21764	175	9	,	,	PUNCT
ajst-21764	175	10	with	with	ADP
ajst-21764	175	11	each	each	DET
ajst-21764	175	12	class	class	NOUN
ajst-21764	175	13	comprising	comprise	VERB
ajst-21764	175	14	205	205	NUM
ajst-21764	175	15	images	image	NOUN
ajst-21764	175	16	,	,	PUNCT
ajst-21764	175	17	exhibiting	exhibit	VERB
ajst-21764	175	18	rich	rich	ADJ
ajst-21764	175	19	geometric	geometric	ADJ
ajst-21764	175	20	dimensions	dimension	NOUN
ajst-21764	175	21	and	and	CCONJ
ajst-21764	175	22	optical	optical	ADJ
ajst-21764	175	23	characteristics	characteristic	NOUN
ajst-21764	175	24	.	.	PUNCT
ajst-21764	176	1	the	the	DET
ajst-21764	176	2	brodatz	brodatz	NOUN
ajst-21764	176	3	dataset	dataset	VERB
ajst-21764	177	1	[	[	PUNCT
ajst-21764	177	2	26]comprises	26]comprises	NUM
ajst-21764	177	3	112	112	NUM
ajst-21764	177	4	texture	texture	NOUN
ajst-21764	177	5	categories	category	NOUN
ajst-21764	177	6	,	,	PUNCT
ajst-21764	177	7	with	with	ADP
ajst-21764	177	8	each	each	DET
ajst-21764	177	9	category	category	NOUN
ajst-21764	177	10	containing	contain	VERB
ajst-21764	177	11	10	10	NUM
ajst-21764	177	12	black	black	ADJ
ajst-21764	177	13	and	and	CCONJ
ajst-21764	177	14	white	white	ADJ
ajst-21764	177	15	texture	texture	NOUN
ajst-21764	177	16	images	image	NOUN
ajst-21764	177	17	sized	size	VERB
ajst-21764	177	18	512	512	NUM
ajst-21764	177	19	*	*	SYM
ajst-21764	177	20	512	512	NUM
ajst-21764	177	21	pixels	pixel	NOUN
ajst-21764	177	22	.	.	PUNCT
ajst-21764	178	1	this	this	DET
ajst-21764	178	2	study	study	NOUN
ajst-21764	178	3	utilized	utilize	VERB
ajst-21764	178	4	1792	1792	NUM
ajst-21764	178	5	samples	sample	NOUN
ajst-21764	178	6	from	from	ADP
ajst-21764	178	7	112	112	NUM
ajst-21764	178	8	classes	class	NOUN
ajst-21764	178	9	,	,	PUNCT
ajst-21764	178	10	with	with	ADP
ajst-21764	178	11	16	16	NUM
ajst-21764	178	12	images	image	NOUN
ajst-21764	178	13	per	per	ADP
ajst-21764	178	14	class	class	NOUN
ajst-21764	178	15	featuring	feature	VERB
ajst-21764	178	16	different	different	ADJ
ajst-21764	178	17	angles	angle	NOUN
ajst-21764	178	18	and	and	CCONJ
ajst-21764	178	19	lighting	lighting	NOUN
ajst-21764	178	20	conditions	condition	NOUN
ajst-21764	178	21	.	.	PUNCT
ajst-21764	179	1	the	the	DET
ajst-21764	179	2	kth	kth	NOUN
ajst-21764	179	3	-	-	PUNCT
ajst-21764	179	4	tips	tip	NOUN
ajst-21764	179	5	texture	texture	NOUN
ajst-21764	179	6	dataset	dataset	NOUN
ajst-21764	179	7	[	[	X
ajst-21764	179	8	27	27	NUM
ajst-21764	179	9	]	]	PUNCT
ajst-21764	179	10	,	,	PUNCT
ajst-21764	179	11	complementing	complement	VERB
ajst-21764	179	12	curet	curet	ADJ
ajst-21764	179	13	,	,	PUNCT
ajst-21764	179	14	introduces	introduce	VERB
ajst-21764	179	15	scale	scale	NOUN
ajst-21764	179	16	variations	variation	NOUN
ajst-21764	179	17	and	and	CCONJ
ajst-21764	179	18	includes	include	VERB
ajst-21764	179	19	10	10	NUM
ajst-21764	179	20	texture	texture	ADJ
ajst-21764	179	21	categories	category	NOUN
ajst-21764	179	22	,	,	PUNCT
ajst-21764	179	23	each	each	PRON
ajst-21764	179	24	with	with	ADP
ajst-21764	179	25	81	81	NUM
ajst-21764	179	26	images	image	NOUN
ajst-21764	179	27	sized	size	VERB
ajst-21764	179	28	200	200	NUM
ajst-21764	179	29	*	*	SYM
ajst-21764	179	30	200	200	NUM
ajst-21764	179	31	pixels	pixel	NOUN
ajst-21764	179	32	.	.	PUNCT
ajst-21764	180	1	this	this	DET
ajst-21764	180	2	study	study	NOUN
ajst-21764	180	3	selected	select	VERB
ajst-21764	180	4	810	810	NUM
ajst-21764	180	5	color	color	NOUN
ajst-21764	180	6	and	and	CCONJ
ajst-21764	180	7	preprocessed	preprocesse	VERB
ajst-21764	180	8	grayscale	grayscale	NOUN
ajst-21764	180	9	images	image	NOUN
ajst-21764	180	10	from	from	ADP
ajst-21764	180	11	10	10	NUM
ajst-21764	180	12	classes	class	NOUN
ajst-21764	180	13	.	.	PUNCT
ajst-21764	181	1	the	the	DET
ajst-21764	181	2	kylberg	kylberg	PROPN
ajst-21764	181	3	texture	texture	NOUN
ajst-21764	181	4	dataset	dataset	VERB
ajst-21764	181	5	[	[	X
ajst-21764	181	6	28	28	NUM
ajst-21764	181	7	]	]	PUNCT
ajst-21764	181	8	comprises	comprise	VERB
ajst-21764	181	9	28	28	NUM
ajst-21764	181	10	texture	texture	ADJ
ajst-21764	181	11	categories	category	NOUN
ajst-21764	181	12	,	,	PUNCT
ajst-21764	181	13	with	with	ADP
ajst-21764	181	14	each	each	DET
ajst-21764	181	15	category	category	NOUN
ajst-21764	181	16	containing	contain	VERB
ajst-21764	181	17	160	160	NUM
ajst-21764	181	18	texture	texture	NOUN
ajst-21764	181	19	images	image	NOUN
ajst-21764	181	20	sized	size	VERB
ajst-21764	181	21	576	576	NUM
ajst-21764	181	22	*	*	SYM
ajst-21764	181	23	576	576	NUM
ajst-21764	181	24	pixels	pixel	NOUN
ajst-21764	181	25	.	.	PUNCT
ajst-21764	182	1	this	this	DET
ajst-21764	182	2	study	study	NOUN
ajst-21764	182	3	utilized	utilize	VERB
ajst-21764	182	4	1200	1200	NUM
ajst-21764	182	5	image	image	NOUN
ajst-21764	182	6	samples	sample	NOUN
ajst-21764	182	7	from	from	ADP
ajst-21764	182	8	20	20	NUM
ajst-21764	182	9	classes	class	NOUN
ajst-21764	182	10	.	.	PUNCT
ajst-21764	183	1	4.1.2	4.1.2	X
ajst-21764	183	2	.	.	PUNCT
ajst-21764	183	3	experimental	experimental	ADJ
ajst-21764	183	4	settings	setting	NOUN
ajst-21764	183	5	in	in	ADP
ajst-21764	183	6	this	this	DET
ajst-21764	183	7	paper	paper	NOUN
ajst-21764	183	8	,	,	PUNCT
ajst-21764	183	9	there	there	PRON
ajst-21764	183	10	are	be	VERB
ajst-21764	183	11	mainly	mainly	ADV
ajst-21764	183	12	two	two	NUM
ajst-21764	183	13	parameters	parameter	NOUN
ajst-21764	183	14	of	of	ADP
ajst-21764	183	15	significant	significant	ADJ
ajst-21764	183	16	importance	importance	NOUN
ajst-21764	183	17	:	:	PUNCT
ajst-21764	183	18	the	the	DET
ajst-21764	183	19	choice	choice	NOUN
ajst-21764	183	20	of	of	ADP
ajst-21764	183	21	scale	scale	NOUN
ajst-21764	183	22	and	and	CCONJ
ajst-21764	183	23	the	the	DET
ajst-21764	183	24	choice	choice	NOUN
ajst-21764	183	25	of	of	ADP
ajst-21764	183	26	filter	filter	NOUN
ajst-21764	183	27	.	.	PUNCT
ajst-21764	184	1	we	we	PRON
ajst-21764	184	2	conduct	conduct	VERB
ajst-21764	184	3	a	a	DET
ajst-21764	184	4	series	series	NOUN
ajst-21764	184	5	of	of	ADP
ajst-21764	184	6	comparative	comparative	ADJ
ajst-21764	184	7	experiments	experiment	NOUN
ajst-21764	184	8	on	on	ADP
ajst-21764	184	9	these	these	DET
ajst-21764	184	10	parameters	parameter	NOUN
ajst-21764	184	11	,	,	PUNCT
ajst-21764	184	12	as	as	SCONJ
ajst-21764	184	13	follows	follow	VERB
ajst-21764	184	14	:	:	PUNCT
ajst-21764	184	15	fig	fig	NOUN
ajst-21764	184	16	.	.	PUNCT
ajst-21764	185	1	4	4	NUM
ajst-21764	185	2	illustrates	illustrate	VERB
ajst-21764	185	3	the	the	DET
ajst-21764	185	4	experiment	experiment	NOUN
ajst-21764	185	5	on	on	ADP
ajst-21764	185	6	the	the	DET
ajst-21764	185	7	scale	scale	NOUN
ajst-21764	185	8	selection	selection	NOUN
ajst-21764	185	9	of	of	ADP
ajst-21764	185	10	lenmp	lenmp	ADJ
ajst-21764	185	11	descriptors	descriptor	NOUN
ajst-21764	185	12	.	.	PUNCT
ajst-21764	186	1	the	the	DET
ajst-21764	186	2	horizontal	horizontal	ADJ
ajst-21764	186	3	axis	axis	NOUN
ajst-21764	186	4	represents	represent	VERB
ajst-21764	186	5	11	11	NUM
ajst-21764	186	6	datasets	dataset	NOUN
ajst-21764	186	7	,	,	PUNCT
ajst-21764	186	8	namely	namely	ADV
ajst-21764	186	9	kth	kth	NOUN
ajst-21764	186	10	-	-	PUNCT
ajst-21764	186	11	tips	tip	NOUN
ajst-21764	186	12	,	,	PUNCT
ajst-21764	186	13	kylberg	kylberg	PROPN
ajst-21764	186	14	,	,	PUNCT
ajst-21764	186	15	brodatz	brodatz	NOUN
ajst-21764	186	16	,	,	PUNCT
ajst-21764	186	17	curet	curet	ADJ
ajst-21764	186	18	,	,	PUNCT
ajst-21764	186	19	tc0	tc0	NOUN
ajst-21764	186	20	,	,	PUNCT
ajst-21764	186	21	tc1	tc1	PROPN
ajst-21764	186	22	,	,	PUNCT
ajst-21764	186	23	tc3	tc3	PROPN
ajst-21764	186	24	,	,	PUNCT
ajst-21764	186	25	tc6	tc6	NOUN
ajst-21764	186	26	,	,	PUNCT
ajst-21764	186	27	tc8	tc8	NOUN
ajst-21764	186	28	,	,	PUNCT
ajst-21764	186	29	tc10	tc10	PROPN
ajst-21764	186	30	,	,	PUNCT
ajst-21764	186	31	and	and	CCONJ
ajst-21764	186	32	tc11	tc11	PROPN
ajst-21764	186	33	.	.	PUNCT
ajst-21764	187	1	the	the	DET
ajst-21764	187	2	black	black	ADJ
ajst-21764	187	3	line	line	NOUN
ajst-21764	187	4	plot	plot	NOUN
ajst-21764	187	5	corresponds	correspond	VERB
ajst-21764	187	6	to	to	ADP
ajst-21764	187	7	r=1	r=1	NOUN
ajst-21764	187	8	,	,	PUNCT
ajst-21764	187	9	p=8	p=8	X
ajst-21764	187	10	,	,	PUNCT
ajst-21764	187	11	the	the	DET
ajst-21764	187	12	blue	blue	ADJ
ajst-21764	187	13	line	line	NOUN
ajst-21764	187	14	plot	plot	NOUN
ajst-21764	187	15	corresponds	correspond	VERB
ajst-21764	187	16	to	to	ADP
ajst-21764	187	17	r=2	r=2	PROPN
ajst-21764	187	18	,	,	PUNCT
ajst-21764	187	19	p=16	p=16	VERB
ajst-21764	187	20	,	,	PUNCT
ajst-21764	187	21	and	and	CCONJ
ajst-21764	187	22	the	the	DET
ajst-21764	187	23	green	green	ADJ
ajst-21764	187	24	line	line	NOUN
ajst-21764	187	25	plot	plot	NOUN
ajst-21764	187	26	corresponds	correspond	NOUN
ajst-21764	187	27	to	to	PART
ajst-21764	187	28	r=3	r=3	VERB
ajst-21764	187	29	,	,	PUNCT
ajst-21764	187	30	p=24	p=24	NOUN
ajst-21764	187	31	.	.	PUNCT
ajst-21764	188	1	it	it	PRON
ajst-21764	188	2	can	can	AUX
ajst-21764	188	3	be	be	AUX
ajst-21764	188	4	observed	observe	VERB
ajst-21764	188	5	from	from	ADP
ajst-21764	188	6	the	the	DET
ajst-21764	188	7	graph	graph	NOUN
ajst-21764	188	8	that	that	SCONJ
ajst-21764	188	9	as	as	ADP
ajst-21764	188	10	the	the	DET
ajst-21764	188	11	radius	radius	NOUN
ajst-21764	188	12	and	and	CCONJ
ajst-21764	188	13	the	the	DET
ajst-21764	188	14	number	number	NOUN
ajst-21764	188	15	of	of	ADP
ajst-21764	188	16	sampling	sample	VERB
ajst-21764	188	17	points	point	NOUN
ajst-21764	188	18	increase	increase	NOUN
ajst-21764	188	19	,	,	PUNCT
ajst-21764	188	20	the	the	DET
ajst-21764	188	21	classification	classification	NOUN
ajst-21764	188	22	accuracy	accuracy	NOUN
ajst-21764	188	23	of	of	ADP
ajst-21764	188	24	the	the	DET
ajst-21764	188	25	descriptors	descriptor	NOUN
ajst-21764	188	26	varies	vary	VERB
ajst-21764	188	27	to	to	ADP
ajst-21764	188	28	some	some	DET
ajst-21764	188	29	extent	extent	NOUN
ajst-21764	188	30	across	across	ADP
ajst-21764	188	31	the	the	DET
ajst-21764	188	32	datasets	dataset	NOUN
ajst-21764	188	33	.	.	PUNCT
ajst-21764	189	1	the	the	DET
ajst-21764	189	2	black	black	ADJ
ajst-21764	189	3	line	line	NOUN
ajst-21764	189	4	plot	plot	NOUN
ajst-21764	189	5	exhibits	exhibit	VERB
ajst-21764	189	6	good	good	ADJ
ajst-21764	189	7	performance	performance	NOUN
ajst-21764	189	8	across	across	ADP
ajst-21764	189	9	multiple	multiple	ADJ
ajst-21764	189	10	datasets	dataset	NOUN
ajst-21764	189	11	,	,	PUNCT
ajst-21764	189	12	indicating	indicate	VERB
ajst-21764	189	13	that	that	SCONJ
ajst-21764	189	14	r=1	r=1	NOUN
ajst-21764	189	15	and	and	CCONJ
ajst-21764	189	16	p=8	p=8	PROPN
ajst-21764	189	17	are	be	AUX
ajst-21764	189	18	chosen	choose	VERB
ajst-21764	189	19	as	as	ADP
ajst-21764	189	20	the	the	DET
ajst-21764	189	21	radius	radius	NOUN
ajst-21764	189	22	and	and	CCONJ
ajst-21764	189	23	sampling	sampling	NOUN
ajst-21764	189	24	point	point	NOUN
ajst-21764	189	25	size	size	NOUN
ajst-21764	189	26	in	in	ADP
ajst-21764	189	27	this	this	DET
ajst-21764	189	28	paper	paper	NOUN
ajst-21764	189	29	.	.	PUNCT
ajst-21764	190	1	fig	fig	NOUN
ajst-21764	190	2	.	.	PUNCT
ajst-21764	191	1	5	5	NUM
ajst-21764	191	2	presents	present	VERB
ajst-21764	191	3	the	the	DET
ajst-21764	191	4	filter	filter	NOUN
ajst-21764	191	5	selection	selection	NOUN
ajst-21764	191	6	experiment	experiment	NOUN
ajst-21764	191	7	for	for	ADP
ajst-21764	191	8	lenmp	lenmp	ADJ
ajst-21764	191	9	descriptors	descriptor	NOUN
ajst-21764	191	10	.	.	PUNCT
ajst-21764	192	1	to	to	PART
ajst-21764	192	2	capture	capture	VERB
ajst-21764	192	3	more	more	ADV
ajst-21764	192	4	spatial	spatial	ADJ
ajst-21764	192	5	detail	detail	NOUN
ajst-21764	192	6	information	information	NOUN
ajst-21764	192	7	,	,	PUNCT
ajst-21764	192	8	we	we	PRON
ajst-21764	192	9	conducted	conduct	VERB
ajst-21764	192	10	comparative	comparative	ADJ
ajst-21764	192	11	experiments	experiment	NOUN
ajst-21764	192	12	using	use	VERB
ajst-21764	192	13	five	five	NUM
ajst-21764	192	14	different	different	ADJ
ajst-21764	192	15	methods	method	NOUN
ajst-21764	192	16	,	,	PUNCT
ajst-21764	192	17	namely	namely	ADV
ajst-21764	192	18	median	median	ADJ
ajst-21764	192	19	filtering	filtering	NOUN
ajst-21764	192	20	,	,	PUNCT
ajst-21764	192	21	mean	mean	ADV
ajst-21764	192	22	filtering	filter	VERB
ajst-21764	192	23	,	,	PUNCT
ajst-21764	192	24	maximum	maximum	ADJ
ajst-21764	192	25	filtering	filtering	NOUN
ajst-21764	192	26	,	,	PUNCT
ajst-21764	192	27	minimum	minimum	ADJ
ajst-21764	192	28	filtering	filtering	NOUN
ajst-21764	192	29	,	,	PUNCT
ajst-21764	192	30	and	and	CCONJ
ajst-21764	192	31	no	no	DET
ajst-21764	192	32	preprocessing	preprocessing	NOUN
ajst-21764	192	33	.	.	PUNCT
ajst-21764	193	1	the	the	DET
ajst-21764	193	2	comparisons	comparison	NOUN
ajst-21764	193	3	were	be	AUX
ajst-21764	193	4	performed	perform	VERB
ajst-21764	193	5	across	across	ADP
ajst-21764	193	6	nine	nine	NUM
ajst-21764	193	7	datasets	dataset	NOUN
ajst-21764	193	8	.	.	PUNCT
ajst-21764	194	1	from	from	ADP
ajst-21764	194	2	the	the	DET
ajst-21764	194	3	graph	graph	NOUN
ajst-21764	194	4	,	,	PUNCT
ajst-21764	194	5	it	it	PRON
ajst-21764	194	6	can	can	AUX
ajst-21764	194	7	be	be	AUX
ajst-21764	194	8	observed	observe	VERB
ajst-21764	194	9	that	that	SCONJ
ajst-21764	194	10	except	except	SCONJ
ajst-21764	194	11	for	for	ADP
ajst-21764	194	12	the	the	DET
ajst-21764	194	13	kylberg	kylberg	PROPN
ajst-21764	194	14	dataset	dataset	NOUN
ajst-21764	194	15	where	where	SCONJ
ajst-21764	194	16	all	all	DET
ajst-21764	194	17	five	five	NUM
ajst-21764	194	18	preprocessing	preprocessing	NOUN
ajst-21764	194	19	methods	method	NOUN
ajst-21764	194	20	yield	yield	VERB
ajst-21764	194	21	the	the	DET
ajst-21764	194	22	same	same	ADJ
ajst-21764	194	23	results	result	NOUN
ajst-21764	194	24	,	,	PUNCT
ajst-21764	194	25	median	median	ADJ
ajst-21764	194	26	filtering	filtering	NOUN
ajst-21764	194	27	consistently	consistently	ADV
ajst-21764	194	28	outperforms	outperform	VERB
ajst-21764	194	29	other	other	ADJ
ajst-21764	194	30	preprocessing	preprocessing	NOUN
ajst-21764	194	31	methods	method	NOUN
ajst-21764	194	32	across	across	ADP
ajst-21764	194	33	the	the	DET
ajst-21764	194	34	remaining	remain	VERB
ajst-21764	194	35	datasets	dataset	NOUN
ajst-21764	194	36	,	,	PUNCT
ajst-21764	194	37	demonstrating	demonstrate	VERB
ajst-21764	194	38	stable	stable	ADJ
ajst-21764	194	39	and	and	CCONJ
ajst-21764	194	40	satisfactory	satisfactory	ADJ
ajst-21764	194	41	performance	performance	NOUN
ajst-21764	194	42	with	with	ADP
ajst-21764	194	43	minimal	minimal	ADJ
ajst-21764	194	44	overall	overall	ADJ
ajst-21764	194	45	fluctuation	fluctuation	NOUN
ajst-21764	194	46	.	.	PUNCT
ajst-21764	195	1	therefore	therefore	ADV
ajst-21764	195	2	,	,	PUNCT
ajst-21764	195	3	in	in	ADP
ajst-21764	195	4	this	this	DET
ajst-21764	195	5	paper	paper	NOUN
ajst-21764	195	6	,	,	PUNCT
ajst-21764	195	7	median	median	ADJ
ajst-21764	195	8	filtering	filtering	NOUN
ajst-21764	195	9	is	be	AUX
ajst-21764	195	10	chosen	choose	VERB
ajst-21764	195	11	for	for	ADP
ajst-21764	195	12	image	image	NOUN
ajst-21764	195	13	preprocessing	preprocessing	NOUN
ajst-21764	195	14	.	.	PUNCT
ajst-21764	196	1	figure	figure	NOUN
ajst-21764	196	2	4	4	NUM
ajst-21764	196	3	.	.	PUNCT
ajst-21764	196	4	lenmp	lenmp	PROPN
ajst-21764	196	5	scale	scale	NOUN
ajst-21764	196	6	selection	selection	NOUN
ajst-21764	196	7	93	93	NUM
ajst-21764	196	8	84	84	NUM
ajst-21764	196	9	86	86	NUM
ajst-21764	196	10	88	88	NUM
ajst-21764	196	11	90	90	NUM
ajst-21764	196	12	92	92	NUM
ajst-21764	196	13	94	94	NUM
ajst-21764	196	14	96	96	NUM
ajst-21764	196	15	98	98	NUM
ajst-21764	196	16	100	100	NUM
ajst-21764	196	17	kth‐tips	kth‐tips	PROPN
ajst-21764	197	1	kylberg	kylberg	PROPN
ajst-21764	197	2	uiuc	uiuc	PROPN
ajst-21764	197	3	tc0	tc0	PROPN
ajst-21764	197	4	tc3	tc3	PROPN
ajst-21764	198	1	tc10	tc10	PROPN
ajst-21764	198	2	tc11	tc11	PROPN
ajst-21764	198	3	tc12‐t184	tc12‐t184	X
ajst-21764	198	4	tc12‐horizon	tc12‐horizon	NOUN
ajst-21764	198	5	median	median	ADJ
ajst-21764	198	6	mean	mean	PROPN
ajst-21764	198	7	max	max	PROPN
ajst-21764	198	8	min	min	PROPN
ajst-21764	198	9	nothing	nothing	PRON
ajst-21764	198	10	figure	figure	NOUN
ajst-21764	198	11	5	5	NUM
ajst-21764	198	12	.	.	PUNCT
ajst-21764	198	13	lenmp	lenmp	PROPN
ajst-21764	198	14	filter	filter	NOUN
ajst-21764	198	15	selection	selection	NOUN
ajst-21764	198	16	4.2	4.2	NUM
ajst-21764	198	17	.	.	PUNCT
ajst-21764	199	1	classification	classification	NOUN
ajst-21764	199	2	performance	performance	NOUN
ajst-21764	199	3	&	&	CCONJ
ajst-21764	199	4	comparison	comparison	NOUN
ajst-21764	199	5	in	in	ADP
ajst-21764	199	6	this	this	DET
ajst-21764	199	7	subsection	subsection	NOUN
ajst-21764	200	1	,	,	PUNCT
ajst-21764	200	2	we	we	PRON
ajst-21764	200	3	conduct	conduct	VERB
ajst-21764	200	4	multiple	multiple	ADJ
ajst-21764	200	5	comparative	comparative	ADJ
ajst-21764	200	6	experiments	experiment	NOUN
ajst-21764	200	7	between	between	ADP
ajst-21764	200	8	the	the	DET
ajst-21764	200	9	lenmp	lenmp	ADJ
ajst-21764	200	10	descriptor	descriptor	NOUN
ajst-21764	200	11	and	and	CCONJ
ajst-21764	200	12	eleven	eleven	NUM
ajst-21764	200	13	representative	representative	ADJ
ajst-21764	200	14	descriptors	descriptor	NOUN
ajst-21764	200	15	.	.	PUNCT
ajst-21764	201	1	the	the	DET
ajst-21764	201	2	datasets	dataset	NOUN
ajst-21764	201	3	used	use	VERB
ajst-21764	201	4	include	include	VERB
ajst-21764	201	5	outex	outex	PROPN
ajst-21764	201	6	,	,	PUNCT
ajst-21764	201	7	curet	curet	ADJ
ajst-21764	201	8	,	,	PUNCT
ajst-21764	201	9	brodatz	brodatz	NOUN
ajst-21764	201	10	,	,	PUNCT
ajst-21764	201	11	kylberg	kylberg	PROPN
ajst-21764	201	12	,	,	PUNCT
ajst-21764	201	13	and	and	CCONJ
ajst-21764	201	14	kth	kth	NOUN
ajst-21764	201	15	-	-	PUNCT
ajst-21764	201	16	tips	tip	NOUN
ajst-21764	201	17	.	.	PUNCT
ajst-21764	202	1	the	the	DET
ajst-21764	202	2	eleven	eleven	NUM
ajst-21764	202	3	descriptor	descriptor	NOUN
ajst-21764	202	4	methods	method	NOUN
ajst-21764	202	5	include	include	VERB
ajst-21764	202	6	lbp[3	lbp[3	X
ajst-21764	202	7	]	]	X
ajst-21764	202	8	,	,	PUNCT
ajst-21764	202	9	clbp[13	clbp[13	PROPN
ajst-21764	202	10	]	]	X
ajst-21764	202	11	,	,	PUNCT
ajst-21764	202	12	clbc[29	clbc[29	NOUN
ajst-21764	202	13	]	]	X
ajst-21764	202	14	,	,	PUNCT
ajst-21764	202	15	eclbp[30	eclbp[30	PROPN
ajst-21764	202	16	]	]	X
ajst-21764	202	17	,	,	PUNCT
ajst-21764	202	18	mcdr[31	mcdr[31	NOUN
ajst-21764	202	19	]	]	PUNCT
ajst-21764	202	20	,	,	PUNCT
ajst-21764	202	21	jrlp[32	jrlp[32	PROPN
ajst-21764	202	22	]	]	PUNCT
ajst-21764	202	23	,	,	PUNCT
ajst-21764	202	24	msdmd[17	msdmd[17	PROPN
ajst-21764	202	25	]	]	PUNCT
ajst-21764	202	26	,	,	PUNCT
ajst-21764	202	27	smdcp[33	smdcp[33	PROPN
ajst-21764	202	28	]	]	X
ajst-21764	202	29	,	,	PUNCT
ajst-21764	202	30	letrist[34	letrist[34	PROPN
ajst-21764	202	31	]	]	X
ajst-21764	202	32	,	,	PUNCT
ajst-21764	202	33	sslbp[35	sslbp[35	NOUN
ajst-21764	202	34	]	]	PUNCT
ajst-21764	202	35	,	,	PUNCT
ajst-21764	202	36	and	and	CCONJ
ajst-21764	202	37	lgonbp[22	lgonbp[22	PROPN
ajst-21764	202	38	]	]	PUNCT
ajst-21764	202	39	.	.	PUNCT
ajst-21764	203	1	4.2.1	4.2.1	NOUN
ajst-21764	203	2	.	.	PUNCT
ajst-21764	204	1	performance	performance	NOUN
ajst-21764	204	2	and	and	CCONJ
ajst-21764	204	3	comparison	comparison	NOUN
ajst-21764	204	4	on	on	ADP
ajst-21764	204	5	noise	noise	NOUN
ajst-21764	204	6	-	-	PUNCT
ajst-21764	204	7	free	free	ADJ
ajst-21764	204	8	datasets	dataset	NOUN
ajst-21764	204	9	table	table	NOUN
ajst-21764	204	10	1	1	NUM
ajst-21764	204	11	presents	present	VERB
ajst-21764	204	12	the	the	DET
ajst-21764	204	13	outcomes	outcome	NOUN
ajst-21764	204	14	of	of	ADP
ajst-21764	204	15	comparative	comparative	ADJ
ajst-21764	204	16	experiments	experiment	NOUN
ajst-21764	204	17	conducted	conduct	VERB
ajst-21764	204	18	on	on	ADP
ajst-21764	204	19	eight	eight	NUM
ajst-21764	204	20	datasets	dataset	NOUN
ajst-21764	204	21	without	without	ADP
ajst-21764	204	22	noise	noise	NOUN
ajst-21764	204	23	.	.	PUNCT
ajst-21764	205	1	from	from	ADP
ajst-21764	205	2	table	table	NOUN
ajst-21764	205	3	1	1	NUM
ajst-21764	205	4	,	,	PUNCT
ajst-21764	205	5	it	it	PRON
ajst-21764	205	6	can	can	AUX
ajst-21764	205	7	be	be	AUX
ajst-21764	205	8	observed	observe	VERB
ajst-21764	205	9	that	that	SCONJ
ajst-21764	205	10	,	,	PUNCT
ajst-21764	205	11	except	except	SCONJ
ajst-21764	205	12	for	for	ADP
ajst-21764	205	13	the	the	DET
ajst-21764	205	14	curet	curet	ADJ
ajst-21764	205	15	dataset	dataset	NOUN
ajst-21764	205	16	,	,	PUNCT
ajst-21764	205	17	our	our	PRON
ajst-21764	205	18	proposed	propose	VERB
ajst-21764	205	19	lenmp	lenmp	PROPN
ajst-21764	205	20	outperforms	outperform	VERB
ajst-21764	205	21	other	other	ADJ
ajst-21764	205	22	descriptors	descriptor	NOUN
ajst-21764	205	23	on	on	ADP
ajst-21764	205	24	the	the	DET
ajst-21764	205	25	remaining	remain	VERB
ajst-21764	205	26	seven	seven	NUM
ajst-21764	205	27	datasets	dataset	NOUN
ajst-21764	205	28	.	.	PUNCT
ajst-21764	206	1	on	on	ADP
ajst-21764	206	2	the	the	DET
ajst-21764	206	3	curet	curet	ADJ
ajst-21764	206	4	dataset	dataset	NOUN
ajst-21764	206	5	,	,	PUNCT
ajst-21764	206	6	the	the	DET
ajst-21764	206	7	classification	classification	NOUN
ajst-21764	206	8	performance	performance	NOUN
ajst-21764	206	9	of	of	ADP
ajst-21764	206	10	lenmp	lenmp	PROPN
ajst-21764	206	11	is	be	AUX
ajst-21764	206	12	only	only	ADV
ajst-21764	206	13	slightly	slightly	ADV
ajst-21764	206	14	lower	low	ADJ
ajst-21764	206	15	than	than	ADP
ajst-21764	206	16	that	that	PRON
ajst-21764	206	17	of	of	ADP
ajst-21764	206	18	smdcp	smdcp	NOUN
ajst-21764	206	19	.	.	PUNCT
ajst-21764	207	1	additionally	additionally	ADV
ajst-21764	207	2	,	,	PUNCT
ajst-21764	207	3	compared	compare	VERB
ajst-21764	207	4	to	to	ADP
ajst-21764	207	5	the	the	DET
ajst-21764	207	6	lgonbp	lgonbp	NOUN
ajst-21764	207	7	descriptor	descriptor	NOUN
ajst-21764	207	8	,	,	PUNCT
ajst-21764	207	9	lenmp	lenmp	PROPN
ajst-21764	207	10	shows	show	VERB
ajst-21764	207	11	a	a	DET
ajst-21764	207	12	certain	certain	ADJ
ajst-21764	207	13	degree	degree	NOUN
ajst-21764	207	14	of	of	ADP
ajst-21764	207	15	improvement	improvement	NOUN
ajst-21764	207	16	.	.	PUNCT
ajst-21764	208	1	lenmp	lenmp	PROPN
ajst-21764	208	2	achieves	achieve	VERB
ajst-21764	208	3	100	100	NUM
ajst-21764	208	4	%	%	NOUN
ajst-21764	208	5	classification	classification	NOUN
ajst-21764	208	6	accuracy	accuracy	NOUN
ajst-21764	208	7	on	on	ADP
ajst-21764	208	8	the	the	DET
ajst-21764	208	9	kylberg	kylberg	PROPN
ajst-21764	208	10	,	,	PUNCT
ajst-21764	208	11	tc0	tc0	NOUN
ajst-21764	208	12	,	,	PUNCT
ajst-21764	208	13	and	and	CCONJ
ajst-21764	208	14	tc3	tc3	PROPN
ajst-21764	208	15	datasets	dataset	NOUN
ajst-21764	208	16	.	.	PUNCT
ajst-21764	209	1	table	table	NOUN
ajst-21764	209	2	1	1	NUM
ajst-21764	209	3	.	.	PUNCT
ajst-21764	209	4	comparison	comparison	NOUN
ajst-21764	209	5	of	of	ADP
ajst-21764	209	6	noise	noise	NOUN
ajst-21764	209	7	free	free	ADJ
ajst-21764	209	8	classification	classification	NOUN
ajst-21764	209	9	results	result	NOUN
ajst-21764	209	10	between	between	ADP
ajst-21764	209	11	lenmp	lenmp	NOUN
ajst-21764	209	12	and	and	CCONJ
ajst-21764	209	13	various	various	ADJ
ajst-21764	209	14	methods	method	NOUN
ajst-21764	209	15	on	on	ADP
ajst-21764	209	16	different	different	ADJ
ajst-21764	209	17	datasets	dataset	NOUN
ajst-21764	209	18	(	(	PUNCT
ajst-21764	209	19	%	%	INTJ
ajst-21764	209	20	)	)	PUNCT
ajst-21764	209	21	methods	method	NOUN
ajst-21764	209	22	brodatz	brodatz	PROPN
ajst-21764	209	23	kth	kth	PROPN
ajst-21764	209	24	-	-	PUNCT
ajst-21764	209	25	tips	tip	NOUN
ajst-21764	209	26	curet	curet	ADJ
ajst-21764	210	1	kylberg	kylberg	PROPN
ajst-21764	210	2	tc10	tc10	PROPN
ajst-21764	210	3	tc11	tc11	PROPN
ajst-21764	210	4	tc0	tc0	NOUN
ajst-21764	210	5	tc3	tc3	NOUN
ajst-21764	210	6	lbp	lbp	VERB
ajst-21764	210	7	77.50	77.50	NUM
ajst-21764	210	8	74.70	74.70	NUM
ajst-21764	210	9	71.62	71.62	NUM
ajst-21764	210	10	94.80	94.80	NUM
ajst-21764	210	11	84.80	84.80	NUM
ajst-21764	210	12	71.04	71.04	NUM
ajst-21764	210	13	91.25	91.25	NUM
ajst-21764	210	14	91.16	91.16	NUM
ajst-21764	210	15	clbp	clbp	NOUN
ajst-21764	210	16	96.46	96.46	NUM
ajst-21764	210	17	94.60	94.60	NUM
ajst-21764	210	18	93.26	93.26	NUM
ajst-21764	210	19	98.80	98.80	NUM
ajst-21764	210	20	96.56	96.56	NUM
ajst-21764	210	21	95.62	95.62	NUM
ajst-21764	210	22	98.34	98.34	NUM
ajst-21764	210	23	92.31	92.31	NUM
ajst-21764	211	1	clbc	clbc	ADJ
ajst-21764	211	2	97.50	97.50	NUM
ajst-21764	211	3	95.34	95.34	NUM
ajst-21764	211	4	97.68	97.68	NUM
ajst-21764	211	5	97.28	97.28	NUM
ajst-21764	211	6	97.10	97.10	NUM
ajst-21764	211	7	96.73	96.73	NUM
ajst-21764	211	8	97.70	97.70	NUM
ajst-21764	211	9	84.30	84.30	NUM
ajst-21764	211	10	eclbp	eclbp	PROPN
ajst-21764	211	11	98.82	98.82	NUM
ajst-21764	211	12	78.71	78.71	NUM
ajst-21764	211	13	82.51	82.51	NUM
ajst-21764	211	14	98.71	98.71	NUM
ajst-21764	211	15	73.07	73.07	NUM
ajst-21764	211	16	62.70	62.70	NUM
ajst-21764	211	17	65.00	65.00	NUM
ajst-21764	211	18	65.83	65.83	NUM
ajst-21764	211	19	mcdr	mcdr	NOUN
ajst-21764	211	20	94.85	94.85	NUM
ajst-21764	211	21	95.60	95.60	NUM
ajst-21764	211	22	91.66	91.66	NUM
ajst-21764	211	23	99.30	99.30	NUM
ajst-21764	211	24	99.50	99.50	NUM
ajst-21764	211	25	95.72	95.72	NUM
ajst-21764	211	26	97.70	97.70	NUM
ajst-21764	211	27	97.62	97.62	NUM
ajst-21764	211	28	jrlp	jrlp	NOUN
ajst-21764	211	29	97.66	97.66	NUM
ajst-21764	211	30	95.70	95.70	NUM
ajst-21764	211	31	98.54	98.54	NUM
ajst-21764	211	32	99.60	99.60	NUM
ajst-21764	211	33	97.10	97.10	NUM
ajst-21764	211	34	97.08	97.08	NUM
ajst-21764	211	35	98.75	98.75	NUM
ajst-21764	211	36	99.58	99.58	NUM
ajst-21764	211	37	smdcp	smdcp	NOUN
ajst-21764	211	38	98.71	98.71	NUM
ajst-21764	211	39	98.71	98.71	NUM
ajst-21764	211	40	99.10	99.10	NUM
ajst-21764	211	41	97.60	97.60	NUM
ajst-21764	211	42	95.76	95.76	NUM
ajst-21764	211	43	97.71	97.71	NUM
ajst-21764	211	44	99.16	99.16	NUM
ajst-21764	211	45	99.58	99.58	NUM
ajst-21764	211	46	msdmd	msdmd	NOUN
ajst-21764	211	47	96.32	96.32	NUM
ajst-21764	211	48	97.78	97.78	NUM
ajst-21764	211	49	96.79	96.79	NUM
ajst-21764	211	50	100	100	NUM
ajst-21764	211	51	lgonbp	lgonbp	NOUN
ajst-21764	211	52	90.89	90.89	NUM
ajst-21764	211	53	95.76	95.76	NUM
ajst-21764	211	54	97.81	97.81	NUM
ajst-21764	211	55	100	100	NUM
ajst-21764	211	56	99.48	99.48	NUM
ajst-21764	211	57	98.95	98.95	NUM
ajst-21764	211	58	99.16	99.16	NUM
ajst-21764	211	59	99.58	99.58	NUM
ajst-21764	211	60	lenmp	lenmp	PROPN
ajst-21764	211	61	99.23	99.23	NUM
ajst-21764	211	62	96.58	96.58	NUM
ajst-21764	211	63	98.96	98.96	NUM
ajst-21764	211	64	100	100	NUM
ajst-21764	211	65	99.68	99.68	NUM
ajst-21764	211	66	99.38	99.38	NUM
ajst-21764	211	67	100	100	NUM
ajst-21764	211	68	100	100	NUM
ajst-21764	211	69	4.2.2	4.2.2	NUM
ajst-21764	211	70	.	.	PUNCT
ajst-21764	212	1	robustness	robustness	NOUN
ajst-21764	212	2	analysis	analysis	NOUN
ajst-21764	212	3	to	to	ADP
ajst-21764	212	4	gaussian	gaussian	PROPN
ajst-21764	212	5	&	&	CCONJ
ajst-21764	212	6	salt	salt	NOUN
ajst-21764	212	7	-	-	PUNCT
ajst-21764	212	8	andpepper	andpepper	NOUN
ajst-21764	212	9	noise	noise	NOUN
ajst-21764	212	10	table	table	NOUN
ajst-21764	212	11	2	2	NUM
ajst-21764	212	12	,	,	PUNCT
ajst-21764	212	13	3	3	NUM
ajst-21764	212	14	,	,	PUNCT
ajst-21764	212	15	and	and	CCONJ
ajst-21764	212	16	4	4	NUM
ajst-21764	212	17	respectively	respectively	ADV
ajst-21764	212	18	present	present	VERB
ajst-21764	212	19	the	the	DET
ajst-21764	212	20	comparative	comparative	ADJ
ajst-21764	212	21	experimental	experimental	ADJ
ajst-21764	212	22	results	result	NOUN
ajst-21764	212	23	on	on	ADP
ajst-21764	212	24	the	the	DET
ajst-21764	212	25	kth	kth	NOUN
ajst-21764	212	26	-	-	PUNCT
ajst-21764	212	27	tips	tip	NOUN
ajst-21764	212	28	,	,	PUNCT
ajst-21764	212	29	brodatz	brodatz	NOUN
ajst-21764	212	30	,	,	PUNCT
ajst-21764	212	31	and	and	CCONJ
ajst-21764	212	32	curet	curet	ADJ
ajst-21764	212	33	datasets	dataset	NOUN
ajst-21764	212	34	with	with	ADP
ajst-21764	212	35	different	different	ADJ
ajst-21764	212	36	levels	level	NOUN
ajst-21764	212	37	of	of	ADP
ajst-21764	212	38	salt	salt	NOUN
ajst-21764	212	39	-	-	PUNCT
ajst-21764	212	40	and	and	CCONJ
ajst-21764	212	41	-	-	PUNCT
ajst-21764	212	42	pepper	pepper	NOUN
ajst-21764	212	43	and	and	CCONJ
ajst-21764	212	44	gaussian	gaussian	ADJ
ajst-21764	212	45	noise	noise	NOUN
ajst-21764	212	46	,	,	PUNCT
ajst-21764	212	47	denoted	denote	VERB
ajst-21764	212	48	as	as	ADP
ajst-21764	212	49	0.01	0.01	NUM
ajst-21764	212	50	,	,	PUNCT
ajst-21764	212	51	0.05	0.05	NUM
ajst-21764	212	52	,	,	PUNCT
ajst-21764	212	53	and	and	CCONJ
ajst-21764	212	54	0.1	0.1	NUM
ajst-21764	212	55	.	.	PUNCT
ajst-21764	213	1	observing	observe	VERB
ajst-21764	213	2	the	the	DET
ajst-21764	213	3	kthtips	kthtip	NOUN
ajst-21764	213	4	dataset	dataset	NOUN
ajst-21764	213	5	,	,	PUNCT
ajst-21764	213	6	under	under	ADP
ajst-21764	213	7	various	various	ADJ
ajst-21764	213	8	noise	noise	NOUN
ajst-21764	213	9	conditions	condition	NOUN
ajst-21764	213	10	,	,	PUNCT
ajst-21764	213	11	our	our	PRON
ajst-21764	213	12	proposed	propose	VERB
ajst-21764	213	13	lenmp	lenmp	NOUN
ajst-21764	213	14	descriptor	descriptor	NOUN
ajst-21764	213	15	generally	generally	ADV
ajst-21764	213	16	exhibits	exhibit	VERB
ajst-21764	213	17	higher	high	ADJ
ajst-21764	213	18	classification	classification	NOUN
ajst-21764	213	19	accuracy	accuracy	NOUN
ajst-21764	213	20	compared	compare	VERB
ajst-21764	213	21	to	to	ADP
ajst-21764	213	22	other	other	ADJ
ajst-21764	213	23	descriptors	descriptor	NOUN
ajst-21764	213	24	.	.	PUNCT
ajst-21764	214	1	for	for	ADP
ajst-21764	214	2	instance	instance	NOUN
ajst-21764	214	3	,	,	PUNCT
ajst-21764	214	4	under	under	ADP
ajst-21764	214	5	0.01	0.01	NUM
ajst-21764	214	6	gaussian	gaussian	ADJ
ajst-21764	214	7	noise	noise	NOUN
ajst-21764	214	8	,	,	PUNCT
ajst-21764	214	9	lenmp	lenmp	PROPN
ajst-21764	214	10	falls	fall	VERB
ajst-21764	214	11	slightly	slightly	ADV
ajst-21764	214	12	behind	behind	ADP
ajst-21764	214	13	letrist	letrist	NOUN
ajst-21764	214	14	and	and	CCONJ
ajst-21764	214	15	jrlp	jrlp	NOUN
ajst-21764	214	16	;	;	PUNCT
ajst-21764	214	17	however	however	ADV
ajst-21764	214	18	,	,	PUNCT
ajst-21764	214	19	as	as	ADP
ajst-21764	214	20	noise	noise	NOUN
ajst-21764	214	21	increases	increase	NOUN
ajst-21764	214	22	,	,	PUNCT
ajst-21764	214	23	while	while	SCONJ
ajst-21764	214	24	the	the	DET
ajst-21764	214	25	classification	classification	NOUN
ajst-21764	214	26	results	result	NOUN
ajst-21764	214	27	of	of	ADP
ajst-21764	214	28	other	other	ADJ
ajst-21764	214	29	descriptors	descriptor	NOUN
ajst-21764	214	30	decline	decline	VERB
ajst-21764	214	31	,	,	PUNCT
ajst-21764	214	32	lenmp	lenmp	PROPN
ajst-21764	214	33	remains	remain	VERB
ajst-21764	214	34	stable	stable	ADJ
ajst-21764	214	35	.	.	PUNCT
ajst-21764	215	1	on	on	ADP
ajst-21764	215	2	the	the	DET
ajst-21764	215	3	brodatz	brodatz	NOUN
ajst-21764	215	4	dataset	dataset	NOUN
ajst-21764	215	5	,	,	PUNCT
ajst-21764	215	6	lenmp	lenmp	PROPN
ajst-21764	215	7	ranks	rank	VERB
ajst-21764	215	8	second	second	ADV
ajst-21764	215	9	only	only	ADV
ajst-21764	215	10	to	to	PART
ajst-21764	215	11	letrist	letrist	VERB
ajst-21764	215	12	under	under	ADP
ajst-21764	215	13	0.05	0.05	NUM
ajst-21764	215	14	salt	salt	NOUN
ajst-21764	215	15	-	-	PUNCT
ajst-21764	215	16	and	and	CCONJ
ajst-21764	215	17	-	-	PUNCT
ajst-21764	215	18	pepper	pepper	NOUN
ajst-21764	215	19	noise	noise	NOUN
ajst-21764	215	20	.	.	PUNCT
ajst-21764	216	1	similarly	similarly	ADV
ajst-21764	216	2	,	,	PUNCT
ajst-21764	216	3	on	on	ADP
ajst-21764	216	4	the	the	DET
ajst-21764	216	5	curet	curet	ADJ
ajst-21764	216	6	dataset	dataset	NOUN
ajst-21764	216	7	,	,	PUNCT
ajst-21764	216	8	lenmp	lenmp	VERB
ajst-21764	216	9	trails	trail	NOUN
ajst-21764	216	10	behind	behind	ADP
ajst-21764	216	11	sslbp	sslbp	NOUN
ajst-21764	216	12	without	without	ADP
ajst-21764	216	13	noise	noise	NOUN
ajst-21764	216	14	;	;	PUNCT
ajst-21764	216	15	however	however	ADV
ajst-21764	216	16	,	,	PUNCT
ajst-21764	216	17	it	it	PRON
ajst-21764	216	18	performs	perform	VERB
ajst-21764	216	19	well	well	ADV
ajst-21764	216	20	under	under	ADP
ajst-21764	216	21	different	different	ADJ
ajst-21764	216	22	levels	level	NOUN
ajst-21764	216	23	of	of	ADP
ajst-21764	216	24	noise	noise	NOUN
ajst-21764	216	25	.	.	PUNCT
ajst-21764	217	1	94	94	NUM
ajst-21764	217	2	table	table	NOUN
ajst-21764	217	3	2	2	NUM
ajst-21764	217	4	.	.	PUNCT
ajst-21764	218	1	the	the	DET
ajst-21764	218	2	comparative	comparative	ADJ
ajst-21764	218	3	results	result	NOUN
ajst-21764	218	4	with	with	ADP
ajst-21764	218	5	noise	noise	NOUN
ajst-21764	218	6	added	add	VERB
ajst-21764	218	7	on	on	ADP
ajst-21764	218	8	the	the	DET
ajst-21764	218	9	kth	kth	NOUN
ajst-21764	218	10	-	-	PUNCT
ajst-21764	218	11	tips	tip	NOUN
ajst-21764	218	12	dataset	dataset	NOUN
ajst-21764	218	13	(	(	PUNCT
ajst-21764	218	14	%	%	INTJ
ajst-21764	218	15	)	)	PUNCT
ajst-21764	218	16	methods	method	NOUN
ajst-21764	218	17	noise	noise	NOUN
ajst-21764	218	18	-	-	PUNCT
ajst-21764	218	19	free	free	ADJ
ajst-21764	218	20	salt	salt	NOUN
ajst-21764	218	21	&	&	CCONJ
ajst-21764	218	22	pepper	pepper	PROPN
ajst-21764	218	23	noise	noise	NOUN
ajst-21764	218	24	(	(	PUNCT
ajst-21764	218	25	σ	σ	NOUN
ajst-21764	218	26	)	)	PUNCT
ajst-21764	218	27	gaussian	gaussian	ADJ
ajst-21764	218	28	noise	noise	NOUN
ajst-21764	218	29	(	(	PUNCT
ajst-21764	218	30	ρ	ρ	NOUN
ajst-21764	218	31	)	)	PUNCT
ajst-21764	218	32	0.01	0.01	NUM
ajst-21764	218	33	0.05	0.05	NUM
ajst-21764	218	34	0.1	0.1	NUM
ajst-21764	218	35	0.01	0.01	NUM
ajst-21764	218	36	0.05	0.05	NUM
ajst-21764	218	37	0.1	0.1	NUM
ajst-21764	218	38	clbp	clbp	NOUN
ajst-21764	218	39	94.60	94.60	NUM
ajst-21764	218	40	94.20	94.20	NUM
ajst-21764	218	41	92.70	92.70	NUM
ajst-21764	218	42	92.90	92.90	NUM
ajst-21764	218	43	83.15	83.15	NUM
ajst-21764	218	44	86.10	86.10	NUM
ajst-21764	218	45	84.58	84.58	NUM
ajst-21764	218	46	clbc	clbc	NOUN
ajst-21764	218	47	95.34	95.34	NUM
ajst-21764	218	48	92.9	92.9	NUM
ajst-21764	218	49	93.46	93.46	NUM
ajst-21764	218	50	92.54	92.54	NUM
ajst-21764	218	51	91.17	91.17	NUM
ajst-21764	218	52	93.10	93.10	NUM
ajst-21764	218	53	89.54	89.54	NUM
ajst-21764	218	54	mcdr	mcdr	NOUN
ajst-21764	218	55	95.60	95.60	NUM
ajst-21764	218	56	92.2	92.2	NUM
ajst-21764	218	57	91.22	91.22	NUM
ajst-21764	218	58	90.83	90.83	NUM
ajst-21764	218	59	82.56	82.56	NUM
ajst-21764	218	60	84.39	84.39	NUM
ajst-21764	218	61	81.12	81.12	NUM
ajst-21764	218	62	eclbp	eclbp	PROPN
ajst-21764	218	63	78.71	78.71	NUM
ajst-21764	218	64	82.12	82.12	NUM
ajst-21764	218	65	87.10	87.10	NUM
ajst-21764	218	66	87.61	87.61	NUM
ajst-21764	218	67	82.76	82.76	NUM
ajst-21764	218	68	81.63	81.63	NUM
ajst-21764	218	69	79.46	79.46	NUM
ajst-21764	218	70	jrlp	jrlp	NOUN
ajst-21764	218	71	95.70	95.70	NUM
ajst-21764	218	72	93.78	93.78	NUM
ajst-21764	218	73	93.60	93.60	NUM
ajst-21764	218	74	93.61	93.61	NUM
ajst-21764	218	75	97.46	97.46	NUM
ajst-21764	218	76	97.21	97.21	NUM
ajst-21764	218	77	97.41	97.41	NUM
ajst-21764	218	78	letrist	letrist	NOUN
ajst-21764	218	79	97.70	97.70	NUM
ajst-21764	218	80	97.38	97.38	NUM
ajst-21764	218	81	97.83	97.83	NUM
ajst-21764	218	82	98.38	98.38	NUM
ajst-21764	218	83	97.53	97.53	NUM
ajst-21764	218	84	97.22	97.22	NUM
ajst-21764	218	85	96.91	96.91	NUM
ajst-21764	218	86	lgonbp	lgonbp	NOUN
ajst-21764	218	87	95.76	95.76	NUM
ajst-21764	218	88	96.29	96.29	NUM
ajst-21764	218	89	96.36	96.36	NUM
ajst-21764	218	90	96.15	96.15	NUM
ajst-21764	218	91	96.97	96.97	NUM
ajst-21764	218	92	97.08	97.08	NUM
ajst-21764	218	93	96.93	96.93	NUM
ajst-21764	218	94	lenmp	lenmp	VERB
ajst-21764	218	95	99.69	99.69	NUM
ajst-21764	218	96	98.46	98.46	NUM
ajst-21764	218	97	98.46	98.46	NUM
ajst-21764	218	98	98.77	98.77	NUM
ajst-21764	218	99	97.22	97.22	NUM
ajst-21764	218	100	97.22	97.22	NUM
ajst-21764	218	101	99.07	99.07	NUM
ajst-21764	218	102	table	table	NOUN
ajst-21764	218	103	3	3	NUM
ajst-21764	218	104	.	.	X
ajst-21764	218	105	comparison	comparison	NOUN
ajst-21764	218	106	results	result	NOUN
ajst-21764	218	107	of	of	ADP
ajst-21764	218	108	different	different	ADJ
ajst-21764	218	109	methods	method	NOUN
ajst-21764	218	110	for	for	ADP
ajst-21764	218	111	adding	add	VERB
ajst-21764	218	112	noise	noise	NOUN
ajst-21764	218	113	on	on	ADP
ajst-21764	218	114	the	the	DET
ajst-21764	218	115	brodatz	brodatz	NOUN
ajst-21764	218	116	dataset	dataset	NOUN
ajst-21764	218	117	(	(	PUNCT
ajst-21764	218	118	%	%	INTJ
ajst-21764	218	119	)	)	PUNCT
ajst-21764	218	120	methods	method	NOUN
ajst-21764	218	121	noise	noise	NOUN
ajst-21764	218	122	-	-	PUNCT
ajst-21764	218	123	free	free	ADJ
ajst-21764	218	124	salt	salt	NOUN
ajst-21764	218	125	&	&	CCONJ
ajst-21764	218	126	pepper	pepper	PROPN
ajst-21764	218	127	noise	noise	NOUN
ajst-21764	218	128	(	(	PUNCT
ajst-21764	218	129	σ	σ	NOUN
ajst-21764	218	130	)	)	PUNCT
ajst-21764	218	131	gaussian	gaussian	ADJ
ajst-21764	218	132	noise	noise	NOUN
ajst-21764	218	133	(	(	PUNCT
ajst-21764	218	134	ρ	ρ	NOUN
ajst-21764	218	135	)	)	PUNCT
ajst-21764	218	136	0.01	0.01	NUM
ajst-21764	218	137	0.05	0.05	NUM
ajst-21764	218	138	0.1	0.1	NUM
ajst-21764	218	139	0.01	0.01	NUM
ajst-21764	218	140	0.05	0.05	NUM
ajst-21764	218	141	0.1	0.1	NUM
ajst-21764	218	142	clbp	clbp	NOUN
ajst-21764	218	143	96.46	96.46	NUM
ajst-21764	218	144	97.16	97.16	NUM
ajst-21764	218	145	98.54	98.54	NUM
ajst-21764	218	146	98.38	98.38	NUM
ajst-21764	218	147	74.53	74.53	NUM
ajst-21764	218	148	41.15	41.15	NUM
ajst-21764	218	149	32.21	32.21	NUM
ajst-21764	218	150	clbc	clbc	PROPN
ajst-21764	218	151	97.50	97.50	NUM
ajst-21764	218	152	98.20	98.20	NUM
ajst-21764	218	153	98.57	98.57	NUM
ajst-21764	218	154	98.59	98.59	NUM
ajst-21764	218	155	97.45	97.45	NUM
ajst-21764	218	156	91.07	91.07	NUM
ajst-21764	218	157	83.09	83.09	NUM
ajst-21764	218	158	mcdr	mcdr	NOUN
ajst-21764	218	159	94.85	94.85	NUM
ajst-21764	218	160	94.10	94.10	NUM
ajst-21764	218	161	95.48	95.48	NUM
ajst-21764	218	162	99.20	99.20	NUM
ajst-21764	218	163	90.64	90.64	NUM
ajst-21764	218	164	85.68	85.68	NUM
ajst-21764	218	165	77.01	77.01	NUM
ajst-21764	218	166	jrlp	jrlp	NOUN
ajst-21764	218	167	97.66	97.66	NUM
ajst-21764	218	168	98.32	98.32	NUM
ajst-21764	218	169	99.18	99.18	NUM
ajst-21764	218	170	99.30	99.30	NUM
ajst-21764	218	171	98.09	98.09	NUM
ajst-21764	218	172	96	96	NUM
ajst-21764	218	173	95.25	95.25	NUM
ajst-21764	218	174	letrist	letrist	NOUN
ajst-21764	218	175	97.90	97.90	NUM
ajst-21764	218	176	97.81	97.81	NUM
ajst-21764	218	177	100	100	NUM
ajst-21764	218	178	99.06	99.06	NUM
ajst-21764	218	179	97.81	97.81	NUM
ajst-21764	218	180	98.12	98.12	NUM
ajst-21764	218	181	98.12	98.12	NUM
ajst-21764	218	182	smdcp	smdcp	NOUN
ajst-21764	218	183	98.71	98.71	NUM
ajst-21764	218	184	98.68	98.68	NUM
ajst-21764	218	185	99.37	99.37	NUM
ajst-21764	218	186	98.68	98.68	NUM
ajst-21764	218	187	98.43	98.43	NUM
ajst-21764	218	188	98.30	98.30	NUM
ajst-21764	218	189	98.43	98.43	NUM
ajst-21764	218	190	lgonbp	lgonbp	NOUN
ajst-21764	218	191	90.89	90.89	NUM
ajst-21764	218	192	97.79	97.79	NUM
ajst-21764	218	193	98.32	98.32	NUM
ajst-21764	218	194	98.07	98.07	NUM
ajst-21764	218	195	98.34	98.34	NUM
ajst-21764	218	196	97.39	97.39	NUM
ajst-21764	218	197	96.07	96.07	NUM
ajst-21764	218	198	lenmp	lenmp	PROPN
ajst-21764	218	199	99.23	99.23	NUM
ajst-21764	218	200	99.06	99.06	NUM
ajst-21764	218	201	99.69	99.69	NUM
ajst-21764	218	202	99.38	99.38	NUM
ajst-21764	218	203	99.68	99.68	NUM
ajst-21764	218	204	99.06	99.06	NUM
ajst-21764	218	205	98.68	98.68	NUM
ajst-21764	218	206	table	table	NOUN
ajst-21764	218	207	4	4	NUM
ajst-21764	218	208	.	.	PUNCT
ajst-21764	218	209	comparison	comparison	NOUN
ajst-21764	218	210	results	result	NOUN
ajst-21764	218	211	of	of	ADP
ajst-21764	218	212	different	different	ADJ
ajst-21764	218	213	methods	method	NOUN
ajst-21764	218	214	for	for	ADP
ajst-21764	218	215	adding	add	VERB
ajst-21764	218	216	noise	noise	NOUN
ajst-21764	218	217	on	on	ADP
ajst-21764	218	218	the	the	DET
ajst-21764	218	219	curet	curet	ADJ
ajst-21764	218	220	dataset	dataset	NOUN
ajst-21764	218	221	(	(	PUNCT
ajst-21764	218	222	%	%	INTJ
ajst-21764	218	223	)	)	PUNCT
ajst-21764	218	224	methods	method	NOUN
ajst-21764	218	225	noise	noise	NOUN
ajst-21764	218	226	-	-	PUNCT
ajst-21764	218	227	free	free	ADJ
ajst-21764	218	228	salt	salt	NOUN
ajst-21764	218	229	&	&	CCONJ
ajst-21764	218	230	pepper	pepper	PROPN
ajst-21764	218	231	noise	noise	NOUN
ajst-21764	218	232	(	(	PUNCT
ajst-21764	218	233	σ	σ	NOUN
ajst-21764	218	234	)	)	PUNCT
ajst-21764	218	235	gaussian	gaussian	ADJ
ajst-21764	218	236	noise	noise	NOUN
ajst-21764	218	237	(	(	PUNCT
ajst-21764	218	238	ρ	ρ	NOUN
ajst-21764	218	239	)	)	PUNCT
ajst-21764	218	240	0.01	0.01	NUM
ajst-21764	218	241	0.05	0.05	NUM
ajst-21764	218	242	0.1	0.1	NUM
ajst-21764	218	243	0.01	0.01	NUM
ajst-21764	218	244	0.05	0.05	NUM
ajst-21764	218	245	0.1	0.1	NUM
ajst-21764	218	246	clbp	clbp	NOUN
ajst-21764	218	247	93.26	93.26	NUM
ajst-21764	218	248	93.69	93.69	NUM
ajst-21764	218	249	92.73	92.73	NUM
ajst-21764	218	250	91.00	91.00	NUM
ajst-21764	218	251	83.81	83.81	NUM
ajst-21764	218	252	64.62	64.62	NUM
ajst-21764	218	253	51.73	51.73	NUM
ajst-21764	218	254	clbc	clbc	NOUN
ajst-21764	218	255	97.68	97.68	NUM
ajst-21764	218	256	96.46	96.46	NUM
ajst-21764	218	257	94.64	94.64	NUM
ajst-21764	218	258	92.52	92.52	NUM
ajst-21764	218	259	85.82	85.82	NUM
ajst-21764	218	260	65.99	65.99	NUM
ajst-21764	218	261	51.94	51.94	NUM
ajst-21764	218	262	mcdr	mcdr	NOUN
ajst-21764	218	263	91.66	91.66	NUM
ajst-21764	218	264	91.57	91.57	NUM
ajst-21764	218	265	89.06	89.06	NUM
ajst-21764	218	266	86.78	86.78	NUM
ajst-21764	218	267	68.77	68.77	NUM
ajst-21764	218	268	40.51	40.51	NUM
ajst-21764	218	269	29.59	29.59	NUM
ajst-21764	218	270	eclbp	eclbp	PROPN
ajst-21764	218	271	82.51	82.51	NUM
ajst-21764	218	272	88.13	88.13	NUM
ajst-21764	218	273	87.03	87.03	NUM
ajst-21764	218	274	86.32	86.32	NUM
ajst-21764	218	275	55.72	55.72	NUM
ajst-21764	218	276	40.81	40.81	NUM
ajst-21764	218	277	36.13	36.13	NUM
ajst-21764	218	278	jrlp	jrlp	NOUN
ajst-21764	218	279	98.54	98.54	NUM
ajst-21764	218	280	98.46	98.46	NUM
ajst-21764	218	281	94.64	94.64	NUM
ajst-21764	218	282	92.52	92.52	NUM
ajst-21764	218	283	93.65	93.65	NUM
ajst-21764	218	284	92.87	92.87	NUM
ajst-21764	218	285	91.66	91.66	NUM
ajst-21764	218	286	letrist	letrist	NOUN
ajst-21764	218	287	98.54	98.54	NUM
ajst-21764	218	288	96.56	96.56	NUM
ajst-21764	218	289	94.37	94.37	NUM
ajst-21764	218	290	92.18	92.18	NUM
ajst-21764	218	291	95.00	95.00	NUM
ajst-21764	218	292	88.75	88.75	NUM
ajst-21764	218	293	85.62	85.62	NUM
ajst-21764	218	294	sslbp	sslbp	NOUN
ajst-21764	218	295	99.51	99.51	NUM
ajst-21764	218	296	98.61	98.61	NUM
ajst-21764	218	297	97.34	97.34	NUM
ajst-21764	218	298	95.83	95.83	NUM
ajst-21764	218	299	98.21	98.21	NUM
ajst-21764	218	300	90.91	90.91	NUM
ajst-21764	218	301	81.66	81.66	NUM
ajst-21764	218	302	lgonbp	lgonbp	NOUN
ajst-21764	218	303	96.79	96.79	NUM
ajst-21764	218	304	98.39	98.39	NUM
ajst-21764	218	305	97.12	97.12	NUM
ajst-21764	218	306	95.12	95.12	NUM
ajst-21764	218	307	93.13	93.13	NUM
ajst-21764	218	308	91.00	91.00	NUM
ajst-21764	218	309	94.07	94.07	NUM
ajst-21764	218	310	lenmp	lenmp	PROPN
ajst-21764	218	311	98.96	98.96	NUM
ajst-21764	218	312	98.75	98.75	NUM
ajst-21764	218	313	97.50	97.50	NUM
ajst-21764	218	314	95.94	95.94	NUM
ajst-21764	218	315	94.69	94.69	NUM
ajst-21764	218	316	93.19	93.19	NUM
ajst-21764	218	317	94.94	94.94	NUM
ajst-21764	218	318	4.2.3	4.2.3	NUM
ajst-21764	218	319	.	.	PUNCT
ajst-21764	219	1	gaussian	gaussian	ADJ
ajst-21764	219	2	noise	noise	NOUN
ajst-21764	219	3	robustness	robustness	NOUN
ajst-21764	219	4	analysis	analysis	NOUN
ajst-21764	219	5	(	(	PUNCT
ajst-21764	219	6	snr	snr	NOUN
ajst-21764	219	7	)	)	PUNCT
ajst-21764	219	8	tables	table	NOUN
ajst-21764	219	9	5	5	NUM
ajst-21764	219	10	,	,	PUNCT
ajst-21764	219	11	6	6	NUM
ajst-21764	219	12	,	,	PUNCT
ajst-21764	219	13	and	and	CCONJ
ajst-21764	219	14	7	7	NUM
ajst-21764	219	15	present	present	VERB
ajst-21764	219	16	the	the	DET
ajst-21764	219	17	respective	respective	ADJ
ajst-21764	219	18	comparative	comparative	ADJ
ajst-21764	219	19	experimental	experimental	ADJ
ajst-21764	219	20	outcomes	outcome	NOUN
ajst-21764	219	21	involving	involve	VERB
ajst-21764	219	22	various	various	ADJ
ajst-21764	219	23	snr	snr	NOUN
ajst-21764	219	24	noise	noise	NOUN
ajst-21764	219	25	levels	level	NOUN
ajst-21764	219	26	introduced	introduce	VERB
ajst-21764	219	27	to	to	ADP
ajst-21764	219	28	the	the	DET
ajst-21764	219	29	kth	kth	NOUN
ajst-21764	219	30	-	-	PUNCT
ajst-21764	219	31	tips	tip	NOUN
ajst-21764	219	32	,	,	PUNCT
ajst-21764	219	33	brodatz	brodatz	NOUN
ajst-21764	219	34	,	,	PUNCT
ajst-21764	219	35	and	and	CCONJ
ajst-21764	219	36	curet	curet	ADJ
ajst-21764	219	37	datasets	dataset	NOUN
ajst-21764	219	38	.	.	PUNCT
ajst-21764	220	1	snr	snr	PROPN
ajst-21764	220	2	signifies	signify	VERB
ajst-21764	220	3	the	the	DET
ajst-21764	220	4	proportion	proportion	NOUN
ajst-21764	220	5	of	of	ADP
ajst-21764	220	6	signal	signal	ADJ
ajst-21764	220	7	power	power	NOUN
ajst-21764	220	8	to	to	PART
ajst-21764	220	9	noise	noise	VERB
ajst-21764	220	10	power	power	NOUN
ajst-21764	220	11	,	,	PUNCT
ajst-21764	220	12	with	with	ADP
ajst-21764	220	13	values	value	NOUN
ajst-21764	220	14	of	of	ADP
ajst-21764	220	15	snr=100	snr=100	PROPN
ajst-21764	220	16	,	,	PUNCT
ajst-21764	220	17	30	30	NUM
ajst-21764	220	18	,	,	PUNCT
ajst-21764	220	19	15	15	NUM
ajst-21764	220	20	,	,	PUNCT
ajst-21764	220	21	10	10	NUM
ajst-21764	220	22	,	,	PUNCT
ajst-21764	220	23	and	and	CCONJ
ajst-21764	220	24	5	5	NUM
ajst-21764	220	25	(	(	PUNCT
ajst-21764	220	26	lower	low	ADJ
ajst-21764	220	27	snr	snr	NOUN
ajst-21764	220	28	values	value	NOUN
ajst-21764	220	29	indicate	indicate	VERB
ajst-21764	220	30	greater	great	ADJ
ajst-21764	220	31	noise	noise	NOUN
ajst-21764	220	32	contamination	contamination	NOUN
ajst-21764	220	33	)	)	PUNCT
ajst-21764	220	34	.	.	PUNCT
ajst-21764	221	1	on	on	ADP
ajst-21764	221	2	the	the	DET
ajst-21764	221	3	kth	kth	NOUN
ajst-21764	221	4	-	-	PUNCT
ajst-21764	221	5	tips	tip	NOUN
ajst-21764	221	6	,	,	PUNCT
ajst-21764	221	7	brodatz	brodatz	NOUN
ajst-21764	221	8	,	,	PUNCT
ajst-21764	221	9	and	and	CCONJ
ajst-21764	221	10	curet	curet	ADJ
ajst-21764	221	11	datasets	dataset	NOUN
ajst-21764	221	12	,	,	PUNCT
ajst-21764	221	13	our	our	PRON
ajst-21764	221	14	proposed	propose	VERB
ajst-21764	221	15	lenmp	lenmp	PROPN
ajst-21764	221	16	descriptor	descriptor	NOUN
ajst-21764	221	17	consistently	consistently	ADV
ajst-21764	221	18	outperforms	outperform	VERB
ajst-21764	221	19	other	other	ADJ
ajst-21764	221	20	descriptors	descriptor	NOUN
ajst-21764	221	21	in	in	ADP
ajst-21764	221	22	classification	classification	NOUN
ajst-21764	221	23	accuracy	accuracy	NOUN
ajst-21764	221	24	.	.	PUNCT
ajst-21764	222	1	as	as	ADP
ajst-21764	222	2	noise	noise	NOUN
ajst-21764	222	3	increases	increase	NOUN
ajst-21764	222	4	,	,	PUNCT
ajst-21764	222	5	the	the	DET
ajst-21764	222	6	classification	classification	NOUN
ajst-21764	222	7	accuracy	accuracy	NOUN
ajst-21764	222	8	of	of	ADP
ajst-21764	222	9	other	other	ADJ
ajst-21764	222	10	descriptors	descriptor	NOUN
ajst-21764	222	11	tends	tend	VERB
ajst-21764	222	12	to	to	PART
ajst-21764	222	13	decline	decline	VERB
ajst-21764	222	14	,	,	PUNCT
ajst-21764	222	15	while	while	SCONJ
ajst-21764	222	16	lenmp	lenmp	NOUN
ajst-21764	222	17	maintains	maintain	VERB
ajst-21764	222	18	stability	stability	NOUN
ajst-21764	222	19	.	.	PUNCT
ajst-21764	223	1	based	base	VERB
ajst-21764	223	2	on	on	ADP
ajst-21764	223	3	all	all	DET
ajst-21764	223	4	the	the	DET
ajst-21764	223	5	experiments	experiment	NOUN
ajst-21764	223	6	conducted	conduct	VERB
ajst-21764	223	7	across	across	ADP
ajst-21764	223	8	multiple	multiple	ADJ
ajst-21764	223	9	typical	typical	ADJ
ajst-21764	223	10	texture	texture	ADJ
ajst-21764	223	11	datasets	dataset	NOUN
ajst-21764	223	12	,	,	PUNCT
ajst-21764	223	13	comparing	compare	VERB
ajst-21764	223	14	with	with	ADP
ajst-21764	223	15	the	the	DET
ajst-21764	223	16	most	most	ADV
ajst-21764	223	17	representative	representative	ADJ
ajst-21764	223	18	texture	texture	ADJ
ajst-21764	223	19	classification	classification	NOUN
ajst-21764	223	20	methods	method	NOUN
ajst-21764	223	21	and	and	CCONJ
ajst-21764	223	22	the	the	DET
ajst-21764	223	23	latest	late	ADJ
ajst-21764	223	24	techniques	technique	NOUN
ajst-21764	223	25	,	,	PUNCT
ajst-21764	223	26	it	it	PRON
ajst-21764	223	27	is	be	AUX
ajst-21764	223	28	verified	verify	VERB
ajst-21764	223	29	that	that	SCONJ
ajst-21764	223	30	our	our	PRON
ajst-21764	223	31	proposed	propose	VERB
ajst-21764	223	32	lenmp	lenmp	PROPN
ajst-21764	223	33	descriptor	descriptor	NOUN
ajst-21764	223	34	exhibits	exhibit	VERB
ajst-21764	223	35	robustness	robustness	NOUN
ajst-21764	223	36	against	against	ADP
ajst-21764	223	37	noise	noise	NOUN
ajst-21764	223	38	and	and	CCONJ
ajst-21764	223	39	enhances	enhance	VERB
ajst-21764	223	40	texture	texture	ADJ
ajst-21764	223	41	classification	classification	NOUN
ajst-21764	223	42	accuracy	accuracy	NOUN
ajst-21764	223	43	.	.	PUNCT
ajst-21764	224	1	thus	thus	ADV
ajst-21764	224	2	,	,	PUNCT
ajst-21764	224	3	it	it	PRON
ajst-21764	224	4	demonstrates	demonstrate	VERB
ajst-21764	224	5	competitive	competitive	ADJ
ajst-21764	224	6	performance	performance	NOUN
ajst-21764	224	7	in	in	ADP
ajst-21764	224	8	the	the	DET
ajst-21764	224	9	field	field	NOUN
ajst-21764	224	10	of	of	ADP
ajst-21764	224	11	texture	texture	ADJ
ajst-21764	224	12	classification	classification	NOUN
ajst-21764	224	13	.	.	PUNCT
ajst-21764	225	1	table	table	NOUN
ajst-21764	225	2	5	5	NUM
ajst-21764	225	3	.	.	PUNCT
ajst-21764	225	4	comparison	comparison	NOUN
ajst-21764	225	5	results	result	NOUN
ajst-21764	225	6	of	of	ADP
ajst-21764	225	7	different	different	ADJ
ajst-21764	225	8	methods	method	NOUN
ajst-21764	225	9	for	for	ADP
ajst-21764	225	10	adding	add	VERB
ajst-21764	225	11	different	different	ADJ
ajst-21764	225	12	degrees	degree	NOUN
ajst-21764	225	13	of	of	ADP
ajst-21764	225	14	snr	snr	NOUN
ajst-21764	225	15	on	on	ADP
ajst-21764	225	16	the	the	DET
ajst-21764	225	17	kth	kth	NOUN
ajst-21764	225	18	-	-	PUNCT
ajst-21764	225	19	tips	tip	NOUN
ajst-21764	225	20	dataset	dataset	NOUN
ajst-21764	225	21	(	(	PUNCT
ajst-21764	225	22	%	%	INTJ
ajst-21764	225	23	)	)	PUNCT
ajst-21764	225	24	methods	method	NOUN
ajst-21764	225	25	noise	noise	NOUN
ajst-21764	225	26	-	-	PUNCT
ajst-21764	225	27	free	free	ADJ
ajst-21764	225	28	snr	snr	PROPN
ajst-21764	225	29	100	100	NUM
ajst-21764	225	30	30	30	NUM
ajst-21764	225	31	15	15	NUM
ajst-21764	225	32	10	10	NUM
ajst-21764	225	33	5	5	NUM
ajst-21764	225	34	clbp	clbp	NOUN
ajst-21764	225	35	94.60	94.60	NUM
ajst-21764	225	36	94.25	94.25	NUM
ajst-21764	225	37	90.29	90.29	NUM
ajst-21764	225	38	85.20	85.20	NUM
ajst-21764	225	39	80.34	80.34	NUM
ajst-21764	225	40	66.64	66.64	NUM
ajst-21764	225	41	clbc	clbc	NOUN
ajst-21764	225	42	95.34	95.34	NUM
ajst-21764	226	1	94.26	94.26	NUM
ajst-21764	226	2	90.19	90.19	NUM
ajst-21764	226	3	84.40	84.40	NUM
ajst-21764	226	4	80.07	80.07	NUM
ajst-21764	226	5	67.65	67.65	NUM
ajst-21764	226	6	eclbp	eclbp	PROPN
ajst-21764	226	7	78.71	78.71	NUM
ajst-21764	226	8	86.05	86.05	NUM
ajst-21764	226	9	78.57	78.57	NUM
ajst-21764	226	10	75.25	75.25	NUM
ajst-21764	226	11	72.38	72.38	NUM
ajst-21764	226	12	66.71	66.71	NUM
ajst-21764	226	13	mcdr	mcdr	NOUN
ajst-21764	226	14	95.60	95.60	NUM
ajst-21764	226	15	92.82	92.82	NUM
ajst-21764	226	16	86.34	86.34	NUM
ajst-21764	226	17	78.95	78.95	NUM
ajst-21764	226	18	73.95	73.95	NUM
ajst-21764	226	19	66.00	66.00	NUM
ajst-21764	226	20	jrlp	jrlp	NOUN
ajst-21764	226	21	95.70	95.70	NUM
ajst-21764	226	22	94.86	94.86	NUM
ajst-21764	226	23	93.98	93.98	NUM
ajst-21764	226	24	91.12	91.12	NUM
ajst-21764	226	25	87.67	87.67	NUM
ajst-21764	226	26	82.89	82.89	NUM
ajst-21764	226	27	letrist	letrist	NOUN
ajst-21764	226	28	97.70	97.70	NUM
ajst-21764	226	29	98.02	98.02	NUM
ajst-21764	226	30	95.85	95.85	NUM
ajst-21764	226	31	87.80	87.80	NUM
ajst-21764	226	32	86.82	86.82	NUM
ajst-21764	226	33	75.36	75.36	NUM
ajst-21764	226	34	sslbp	sslbp	NOUN
ajst-21764	226	35	99.39	99.39	NUM
ajst-21764	226	36	95.10	95.10	NUM
ajst-21764	226	37	93.07	93.07	NUM
ajst-21764	226	38	90.28	90.28	NUM
ajst-21764	226	39	85.36	85.36	NUM
ajst-21764	226	40	81.94	81.94	NUM
ajst-21764	226	41	msdmd	msdmd	NOUN
ajst-21764	226	42	97.78	97.78	NUM
ajst-21764	226	43	59.02	59.02	NUM
ajst-21764	226	44	60.07	60.07	NUM
ajst-21764	226	45	61.54	61.54	NUM
ajst-21764	226	46	62.02	62.02	NUM
ajst-21764	226	47	66.44	66.44	NUM
ajst-21764	226	48	lgonbp	lgonbp	NOUN
ajst-21764	226	49	95.76	95.76	NUM
ajst-21764	226	50	92.89	92.89	NUM
ajst-21764	226	51	91.62	91.62	NUM
ajst-21764	226	52	89.88	89.88	NUM
ajst-21764	226	53	88.04	88.04	NUM
ajst-21764	226	54	78.78	78.78	NUM
ajst-21764	226	55	lenmp	lenmp	VERB
ajst-21764	226	56	99.69	99.69	NUM
ajst-21764	226	57	98.15	98.15	NUM
ajst-21764	226	58	97.84	97.84	NUM
ajst-21764	226	59	95.68	95.68	NUM
ajst-21764	226	60	95.68	95.68	NUM
ajst-21764	226	61	93.21	93.21	NUM
ajst-21764	226	62	95	95	NUM
ajst-21764	226	63	table	table	NOUN
ajst-21764	226	64	6	6	NUM
ajst-21764	226	65	.	.	PUNCT
ajst-21764	226	66	comparison	comparison	NOUN
ajst-21764	226	67	results	result	NOUN
ajst-21764	226	68	of	of	ADP
ajst-21764	226	69	different	different	ADJ
ajst-21764	226	70	methods	method	NOUN
ajst-21764	226	71	for	for	ADP
ajst-21764	226	72	adding	add	VERB
ajst-21764	226	73	different	different	ADJ
ajst-21764	226	74	degrees	degree	NOUN
ajst-21764	226	75	of	of	ADP
ajst-21764	226	76	snr	snr	NOUN
ajst-21764	226	77	on	on	ADP
ajst-21764	226	78	the	the	DET
ajst-21764	226	79	brodatz	brodatz	NOUN
ajst-21764	226	80	dataset	dataset	NOUN
ajst-21764	226	81	(	(	PUNCT
ajst-21764	226	82	%	%	INTJ
ajst-21764	226	83	)	)	PUNCT
ajst-21764	226	84	methods	method	NOUN
ajst-21764	226	85	noise	noise	NOUN
ajst-21764	226	86	-	-	PUNCT
ajst-21764	226	87	free	free	ADJ
ajst-21764	226	88	snr	snr	PROPN
ajst-21764	226	89	100	100	NUM
ajst-21764	226	90	30	30	NUM
ajst-21764	226	91	15	15	NUM
ajst-21764	226	92	10	10	NUM
ajst-21764	226	93	5	5	NUM
ajst-21764	226	94	clbp	clbp	NOUN
ajst-21764	226	95	96.46	96.46	NUM
ajst-21764	226	96	91.82	91.82	NUM
ajst-21764	226	97	86.25	86.25	NUM
ajst-21764	226	98	80.70	80.70	NUM
ajst-21764	226	99	76.17	76.17	NUM
ajst-21764	226	100	66.30	66.30	NUM
ajst-21764	226	101	clbc	clbc	PROPN
ajst-21764	226	102	97.50	97.50	NUM
ajst-21764	226	103	90.57	90.57	NUM
ajst-21764	227	1	86.61	86.61	NUM
ajst-21764	227	2	85.75	85.75	NUM
ajst-21764	227	3	85.46	85.46	NUM
ajst-21764	227	4	78.39	78.39	NUM
ajst-21764	227	5	eclbp	eclbp	PROPN
ajst-21764	227	6	78.71	78.71	NUM
ajst-21764	227	7	78.25	78.25	NUM
ajst-21764	227	8	71.08	71.08	NUM
ajst-21764	227	9	65.62	65.62	NUM
ajst-21764	227	10	60.70	60.70	NUM
ajst-21764	227	11	51.70	51.70	NUM
ajst-21764	227	12	mcdr	mcdr	NOUN
ajst-21764	227	13	94.85	94.85	NUM
ajst-21764	227	14	91.98	91.98	NUM
ajst-21764	227	15	90.98	90.98	NUM
ajst-21764	227	16	89.12	89.12	NUM
ajst-21764	227	17	88.90	88.90	NUM
ajst-21764	227	18	86.31	86.31	NUM
ajst-21764	227	19	jrlp	jrlp	NOUN
ajst-21764	227	20	97.66	97.66	NUM
ajst-21764	227	21	91.98	91.98	NUM
ajst-21764	227	22	90.98	90.98	NUM
ajst-21764	227	23	89.12	89.12	NUM
ajst-21764	227	24	88.51	88.51	NUM
ajst-21764	227	25	86.32	86.32	NUM
ajst-21764	227	26	letrist	letrist	NOUN
ajst-21764	227	27	97.90	97.90	NUM
ajst-21764	227	28	97.14	97.14	NUM
ajst-21764	227	29	97.14	97.14	NUM
ajst-21764	227	30	95.89	95.89	NUM
ajst-21764	227	31	94.82	94.82	NUM
ajst-21764	227	32	94.28	94.28	NUM
ajst-21764	227	33	sslbp	sslbp	NOUN
ajst-21764	227	34	100	100	NUM
ajst-21764	227	35	90.57	90.57	NUM
ajst-21764	227	36	89.48	89.48	NUM
ajst-21764	227	37	88.69	88.69	NUM
ajst-21764	227	38	88.69	88.69	NUM
ajst-21764	227	39	86.71	86.71	NUM
ajst-21764	227	40	msdmd	msdmd	NOUN
ajst-21764	227	41	96.32	96.32	NUM
ajst-21764	227	42	34.93	34.93	NUM
ajst-21764	227	43	37.24	37.24	NUM
ajst-21764	227	44	38.39	38.39	NUM
ajst-21764	227	45	38.88	38.88	NUM
ajst-21764	227	46	38.83	38.83	NUM
ajst-21764	227	47	lgonbp	lgonbp	NOUN
ajst-21764	227	48	90.89	90.89	NUM
ajst-21764	227	49	92.32	92.32	NUM
ajst-21764	227	50	91.96	91.96	NUM
ajst-21764	227	51	93.03	93.03	NUM
ajst-21764	227	52	93.21	93.21	NUM
ajst-21764	227	53	92.32	92.32	NUM
ajst-21764	227	54	lenmp	lenmp	PROPN
ajst-21764	227	55	99.23	99.23	NUM
ajst-21764	227	56	98.85	98.85	NUM
ajst-21764	227	57	98.17	98.17	NUM
ajst-21764	227	58	97.31	97.31	NUM
ajst-21764	227	59	97.40	97.40	NUM
ajst-21764	227	60	96.63	96.63	NUM
ajst-21764	227	61	table	table	NOUN
ajst-21764	227	62	7	7	NUM
ajst-21764	227	63	.	.	PUNCT
ajst-21764	227	64	comparison	comparison	NOUN
ajst-21764	227	65	results	result	NOUN
ajst-21764	227	66	of	of	ADP
ajst-21764	227	67	different	different	ADJ
ajst-21764	227	68	methods	method	NOUN
ajst-21764	227	69	for	for	ADP
ajst-21764	227	70	adding	add	VERB
ajst-21764	227	71	different	different	ADJ
ajst-21764	227	72	degrees	degree	NOUN
ajst-21764	227	73	of	of	ADP
ajst-21764	227	74	snr	snr	NOUN
ajst-21764	227	75	on	on	ADP
ajst-21764	227	76	the	the	DET
ajst-21764	227	77	curet	curet	ADJ
ajst-21764	227	78	dataset	dataset	NOUN
ajst-21764	227	79	(	(	PUNCT
ajst-21764	227	80	%	%	INTJ
ajst-21764	227	81	)	)	PUNCT
ajst-21764	227	82	methods	method	NOUN
ajst-21764	227	83	noise	noise	NOUN
ajst-21764	227	84	-	-	PUNCT
ajst-21764	227	85	free	free	ADJ
ajst-21764	227	86	snr	snr	PROPN
ajst-21764	227	87	100	100	NUM
ajst-21764	227	88	30	30	NUM
ajst-21764	227	89	15	15	NUM
ajst-21764	227	90	10	10	NUM
ajst-21764	227	91	5	5	NUM
ajst-21764	227	92	clbp	clbp	NOUN
ajst-21764	227	93	93.26	93.26	NUM
ajst-21764	227	94	94.85	94.85	NUM
ajst-21764	227	95	90.17	90.17	NUM
ajst-21764	227	96	84.49	84.49	NUM
ajst-21764	227	97	79.51	79.51	NUM
ajst-21764	227	98	69.03	69.03	NUM
ajst-21764	227	99	clbc	clbc	NUM
ajst-21764	227	100	97.68	97.68	NUM
ajst-21764	227	101	95.48	95.48	NUM
ajst-21764	227	102	91.45	91.45	NUM
ajst-21764	227	103	86.55	86.55	NUM
ajst-21764	227	104	81.65	81.65	NUM
ajst-21764	227	105	71.67	71.67	NUM
ajst-21764	227	106	eclbp	eclbp	PROPN
ajst-21764	227	107	82.51	82.51	NUM
ajst-21764	227	108	96.70	96.70	NUM
ajst-21764	227	109	91.43	91.43	NUM
ajst-21764	227	110	84.78	84.78	NUM
ajst-21764	227	111	83.22	83.22	NUM
ajst-21764	227	112	83.48	83.48	NUM
ajst-21764	227	113	mcdr	mcdr	NOUN
ajst-21764	227	114	91.66	91.66	NUM
ajst-21764	227	115	69.60	69.60	NUM
ajst-21764	227	116	59.03	59.03	NUM
ajst-21764	227	117	49.47	49.47	NUM
ajst-21764	227	118	43.62	43.62	NUM
ajst-21764	227	119	35.61	35.61	NUM
ajst-21764	227	120	jrlp	jrlp	NOUN
ajst-21764	227	121	98.54	98.54	NUM
ajst-21764	227	122	96.93	96.93	NUM
ajst-21764	227	123	96.20	96.20	NUM
ajst-21764	227	124	95.40	95.40	NUM
ajst-21764	227	125	94.56	94.56	NUM
ajst-21764	227	126	91.68	91.68	NUM
ajst-21764	227	127	letrist	letrist	NOUN
ajst-21764	227	128	98.50	98.50	NUM
ajst-21764	227	129	97.02	97.02	NUM
ajst-21764	227	130	95.85	95.85	NUM
ajst-21764	227	131	87.80	87.80	NUM
ajst-21764	227	132	86.82	86.82	NUM
ajst-21764	227	133	75.36	75.36	NUM
ajst-21764	227	134	sslbp	sslbp	NOUN
ajst-21764	227	135	99.51	99.51	NUM
ajst-21764	227	136	96.90	96.90	NUM
ajst-21764	227	137	96.53	96.53	NUM
ajst-21764	227	138	94.83	94.83	NUM
ajst-21764	227	139	92.53	92.53	NUM
ajst-21764	227	140	87.56	87.56	NUM
ajst-21764	227	141	msdmd	msdmd	NOUN
ajst-21764	227	142	97.81	97.81	NUM
ajst-21764	227	143	53.68	53.68	NUM
ajst-21764	227	144	59.21	59.21	NUM
ajst-21764	227	145	62.43	62.43	NUM
ajst-21764	227	146	63.47	63.47	NUM
ajst-21764	227	147	65.07	65.07	NUM
ajst-21764	227	148	lgonbp	lgonbp	NOUN
ajst-21764	227	149	96.79	96.79	NUM
ajst-21764	227	150	96.97	96.97	NUM
ajst-21764	227	151	96.52	96.52	NUM
ajst-21764	227	152	95.13	95.13	NUM
ajst-21764	227	153	93.75	93.75	NUM
ajst-21764	227	154	89.56	89.56	NUM
ajst-21764	227	155	lenmp	lenmp	PROPN
ajst-21764	227	156	98.96	98.96	NUM
ajst-21764	227	157	97.50	97.50	NUM
ajst-21764	227	158	96.61	96.61	NUM
ajst-21764	227	159	95.36	95.36	NUM
ajst-21764	227	160	94.97	94.97	NUM
ajst-21764	227	161	92.12	92.12	NUM
ajst-21764	227	162	4.2.4	4.2.4	NUM
ajst-21764	227	163	.	.	PUNCT
ajst-21764	228	1	ablation	ablation	NOUN
ajst-21764	228	2	experiments	experiment	NOUN
ajst-21764	228	3	table	table	VERB
ajst-21764	228	4	8	8	NUM
ajst-21764	228	5	presents	present	VERB
ajst-21764	228	6	the	the	DET
ajst-21764	228	7	results	result	NOUN
ajst-21764	228	8	of	of	ADP
ajst-21764	228	9	ablation	ablation	NOUN
ajst-21764	228	10	experiments	experiment	NOUN
ajst-21764	228	11	conducted	conduct	VERB
ajst-21764	228	12	on	on	ADP
ajst-21764	228	13	seven	seven	NUM
ajst-21764	228	14	datasets	dataset	NOUN
ajst-21764	228	15	targeting	target	VERB
ajst-21764	228	16	the	the	DET
ajst-21764	228	17	thace	thace	NOUN
ajst-21764	228	18	module	module	NOUN
ajst-21764	228	19	.	.	PUNCT
ajst-21764	229	1	there	there	PRON
ajst-21764	229	2	are	be	VERB
ajst-21764	229	3	three	three	NUM
ajst-21764	229	4	methods	method	NOUN
ajst-21764	229	5	of	of	ADP
ajst-21764	229	6	adding	add	VERB
ajst-21764	229	7	the	the	DET
ajst-21764	229	8	thace	thace	NOUN
ajst-21764	229	9	module	module	NOUN
ajst-21764	229	10	.	.	PUNCT
ajst-21764	230	1	since	since	SCONJ
ajst-21764	230	2	our	our	PRON
ajst-21764	230	3	method	method	NOUN
ajst-21764	230	4	is	be	AUX
ajst-21764	230	5	inspired	inspire	VERB
ajst-21764	230	6	by	by	ADP
ajst-21764	230	7	clbp	clbp	PROPN
ajst-21764	230	8	and	and	CCONJ
ajst-21764	230	9	lgonbp	lgonbp	VERB
ajst-21764	230	10	and	and	CCONJ
ajst-21764	230	11	improves	improve	VERB
ajst-21764	230	12	upon	upon	SCONJ
ajst-21764	230	13	these	these	DET
ajst-21764	230	14	two	two	NUM
ajst-21764	230	15	methods	method	NOUN
ajst-21764	230	16	,	,	PUNCT
ajst-21764	230	17	the	the	DET
ajst-21764	230	18	comparative	comparative	ADJ
ajst-21764	230	19	methods	method	NOUN
ajst-21764	230	20	for	for	ADP
ajst-21764	230	21	the	the	DET
ajst-21764	230	22	ablation	ablation	NOUN
ajst-21764	230	23	experiments	experiment	NOUN
ajst-21764	230	24	are	be	AUX
ajst-21764	230	25	clbp	clbp	NOUN
ajst-21764	230	26	,	,	PUNCT
ajst-21764	230	27	lgonbp	lgonbp	NOUN
ajst-21764	230	28	,	,	PUNCT
ajst-21764	230	29	and	and	CCONJ
ajst-21764	230	30	lenmp	lenmp	PROPN
ajst-21764	230	31	,	,	PUNCT
ajst-21764	230	32	with	with	ADP
ajst-21764	230	33	lnmp	lnmp	NOUN
ajst-21764	230	34	representing	represent	VERB
ajst-21764	230	35	the	the	DET
ajst-21764	230	36	operator	operator	NOUN
ajst-21764	230	37	without	without	ADP
ajst-21764	230	38	the	the	DET
ajst-21764	230	39	ace	ace	NOUN
ajst-21764	230	40	module	module	NOUN
ajst-21764	230	41	.	.	PUNCT
ajst-21764	231	1	clbp_thace	clbp_thace	VERB
ajst-21764	231	2	and	and	CCONJ
ajst-21764	231	3	lgonbp_thace	lgonbp_thace	NOUN
ajst-21764	231	4	respectively	respectively	ADV
ajst-21764	231	5	combine	combine	VERB
ajst-21764	231	6	the	the	DET
ajst-21764	231	7	lep	lep	PROPN
ajst-21764	231	8	module	module	NOUN
ajst-21764	231	9	with	with	ADP
ajst-21764	231	10	clbp	clbp	NOUN
ajst-21764	231	11	and	and	CCONJ
ajst-21764	231	12	lgonbp	lgonbp	NOUN
ajst-21764	231	13	.	.	PUNCT
ajst-21764	232	1	from	from	ADP
ajst-21764	232	2	the	the	DET
ajst-21764	232	3	table	table	NOUN
ajst-21764	232	4	,	,	PUNCT
ajst-21764	232	5	it	it	PRON
ajst-21764	232	6	can	can	AUX
ajst-21764	232	7	be	be	AUX
ajst-21764	232	8	observed	observe	VERB
ajst-21764	232	9	that	that	SCONJ
ajst-21764	232	10	after	after	ADP
ajst-21764	232	11	adding	add	VERB
ajst-21764	232	12	thace	thace	NOUN
ajst-21764	232	13	,	,	PUNCT
ajst-21764	232	14	clbp_thace	clbp_thace	VERB
ajst-21764	232	15	and	and	CCONJ
ajst-21764	232	16	lgonbp_thace	lgonbp_thace	NOUN
ajst-21764	232	17	exhibit	exhibit	NOUN
ajst-21764	232	18	varying	vary	VERB
ajst-21764	232	19	degrees	degree	NOUN
ajst-21764	232	20	of	of	ADP
ajst-21764	232	21	improvement	improvement	NOUN
ajst-21764	232	22	in	in	ADP
ajst-21764	232	23	classification	classification	NOUN
ajst-21764	232	24	accuracy	accuracy	NOUN
ajst-21764	232	25	compared	compare	VERB
ajst-21764	232	26	to	to	ADP
ajst-21764	232	27	clbp	clbp	NOUN
ajst-21764	232	28	and	and	CCONJ
ajst-21764	232	29	lgonbp	lgonbp	NOUN
ajst-21764	232	30	.	.	PUNCT
ajst-21764	233	1	lenmp	lenmp	PROPN
ajst-21764	233	2	shows	show	VERB
ajst-21764	233	3	improved	improve	VERB
ajst-21764	233	4	classification	classification	NOUN
ajst-21764	233	5	accuracy	accuracy	NOUN
ajst-21764	233	6	compared	compare	VERB
ajst-21764	233	7	to	to	PART
ajst-21764	233	8	lnmp	lnmp	VERB
ajst-21764	233	9	across	across	ADP
ajst-21764	233	10	all	all	DET
ajst-21764	233	11	datasets	dataset	NOUN
ajst-21764	233	12	,	,	PUNCT
ajst-21764	233	13	with	with	ADP
ajst-21764	233	14	100	100	NUM
ajst-21764	233	15	%	%	NOUN
ajst-21764	233	16	accuracy	accuracy	NOUN
ajst-21764	233	17	achieved	achieve	VERB
ajst-21764	233	18	on	on	ADP
ajst-21764	233	19	the	the	DET
ajst-21764	233	20	tc0	tc0	NOUN
ajst-21764	233	21	and	and	CCONJ
ajst-21764	233	22	tc3	tc3	PROPN
ajst-21764	233	23	datasets	dataset	NOUN
ajst-21764	233	24	.	.	PUNCT
ajst-21764	234	1	moreover	moreover	ADV
ajst-21764	234	2	,	,	PUNCT
ajst-21764	234	3	lenmp	lenmp	PROPN
ajst-21764	234	4	outperforms	outperform	NOUN
ajst-21764	234	5	clbp	clbp	NOUN
ajst-21764	234	6	,	,	PUNCT
ajst-21764	234	7	clbp_thace	clbp_thace	NOUN
ajst-21764	234	8	,	,	PUNCT
ajst-21764	234	9	lgonbp	lgonbp	NOUN
ajst-21764	234	10	,	,	PUNCT
ajst-21764	234	11	lgonbp_thace	lgonbp_thace	PROPN
ajst-21764	234	12	,	,	PUNCT
ajst-21764	234	13	and	and	CCONJ
ajst-21764	234	14	lnmp	lnmp	NOUN
ajst-21764	234	15	in	in	ADP
ajst-21764	234	16	terms	term	NOUN
ajst-21764	234	17	of	of	ADP
ajst-21764	234	18	classification	classification	NOUN
ajst-21764	234	19	accuracy	accuracy	NOUN
ajst-21764	234	20	.	.	PUNCT
ajst-21764	235	1	however	however	ADV
ajst-21764	235	2	,	,	PUNCT
ajst-21764	235	3	its	its	PRON
ajst-21764	235	4	performance	performance	NOUN
ajst-21764	235	5	is	be	AUX
ajst-21764	235	6	less	less	ADV
ajst-21764	235	7	satisfactory	satisfactory	ADJ
ajst-21764	235	8	on	on	ADP
ajst-21764	235	9	the	the	DET
ajst-21764	235	10	tc10	tc10	PROPN
ajst-21764	235	11	and	and	CCONJ
ajst-21764	235	12	tc11	tc11	PROPN
ajst-21764	235	13	datasets	dataset	NOUN
ajst-21764	235	14	,	,	PUNCT
ajst-21764	235	15	indicating	indicate	VERB
ajst-21764	235	16	insufficient	insufficient	ADJ
ajst-21764	235	17	robustness	robustness	NOUN
ajst-21764	235	18	to	to	ADP
ajst-21764	235	19	rotation	rotation	NOUN
ajst-21764	235	20	invariance	invariance	NOUN
ajst-21764	235	21	.	.	PUNCT
ajst-21764	236	1	nevertheless	nevertheless	ADV
ajst-21764	236	2	,	,	PUNCT
ajst-21764	236	3	on	on	ADP
ajst-21764	236	4	the	the	DET
ajst-21764	236	5	tc10	tc10	PROPN
ajst-21764	236	6	and	and	CCONJ
ajst-21764	236	7	tc11	tc11	PROPN
ajst-21764	236	8	datasets	dataset	NOUN
ajst-21764	236	9	,	,	PUNCT
ajst-21764	236	10	the	the	DET
ajst-21764	236	11	classification	classification	NOUN
ajst-21764	236	12	accuracy	accuracy	NOUN
ajst-21764	236	13	of	of	ADP
ajst-21764	236	14	lenmp	lenmp	NOUN
ajst-21764	236	15	with	with	ADP
ajst-21764	236	16	the	the	DET
ajst-21764	236	17	added	add	VERB
ajst-21764	236	18	thace	thace	NOUN
ajst-21764	236	19	module	module	NOUN
ajst-21764	236	20	surpasses	surpasse	NOUN
ajst-21764	236	21	that	that	PRON
ajst-21764	236	22	of	of	ADP
ajst-21764	236	23	lgonbp	lgonbp	NOUN
ajst-21764	236	24	and	and	CCONJ
ajst-21764	236	25	lgonbp_thace	lgonbp_thace	NOUN
ajst-21764	236	26	,	,	PUNCT
ajst-21764	236	27	demonstrating	demonstrate	VERB
ajst-21764	236	28	the	the	DET
ajst-21764	236	29	effectiveness	effectiveness	NOUN
ajst-21764	236	30	of	of	ADP
ajst-21764	236	31	the	the	DET
ajst-21764	236	32	thace	thace	NOUN
ajst-21764	236	33	module	module	NOUN
ajst-21764	236	34	and	and	CCONJ
ajst-21764	236	35	its	its	PRON
ajst-21764	236	36	ability	ability	NOUN
ajst-21764	236	37	to	to	PART
ajst-21764	236	38	provide	provide	VERB
ajst-21764	236	39	some	some	DET
ajst-21764	236	40	degree	degree	NOUN
ajst-21764	236	41	of	of	ADP
ajst-21764	236	42	rotation	rotation	NOUN
ajst-21764	236	43	invariance	invariance	NOUN
ajst-21764	236	44	.	.	PUNCT
ajst-21764	237	1	table	table	NOUN
ajst-21764	237	2	8	8	NUM
ajst-21764	237	3	.	.	PUNCT
ajst-21764	238	1	results	result	NOUN
ajst-21764	238	2	of	of	ADP
ajst-21764	238	3	ablation	ablation	NOUN
ajst-21764	238	4	experiments	experiment	NOUN
ajst-21764	238	5	with	with	ADP
ajst-21764	238	6	thace	thace	NOUN
ajst-21764	238	7	added	add	VERB
ajst-21764	238	8	on	on	ADP
ajst-21764	238	9	different	different	ADJ
ajst-21764	238	10	datasets	dataset	NOUN
ajst-21764	238	11	(	(	PUNCT
ajst-21764	238	12	%	%	INTJ
ajst-21764	238	13	)	)	PUNCT
ajst-21764	238	14	methods	method	NOUN
ajst-21764	238	15	brodatz	brodatz	PROPN
ajst-21764	238	16	curet	curet	PROPN
ajst-21764	238	17	kthtips	kthtips	PROPN
ajst-21764	239	1	tc0	tc0	PROPN
ajst-21764	239	2	tc3	tc3	PROPN
ajst-21764	240	1	tc10	tc10	PROPN
ajst-21764	240	2	tc11	tc11	PROPN
ajst-21764	240	3	clbp	clbp	NOUN
ajst-21764	240	4	96.46	96.46	NUM
ajst-21764	240	5	93.26	93.26	NUM
ajst-21764	240	6	94.60	94.60	NUM
ajst-21764	240	7	90.4	90.4	NUM
ajst-21764	240	8	97.7	97.7	NUM
ajst-21764	240	9	96.56	96.56	NUM
ajst-21764	240	10	95.62	95.62	NUM
ajst-21764	240	11	clbp_thace	clbp_thace	NOUN
ajst-21764	240	12	96.74	96.74	NUM
ajst-21764	240	13	95.51	95.51	NUM
ajst-21764	240	14	96.00	96.00	NUM
ajst-21764	240	15	91.63	91.63	NUM
ajst-21764	240	16	99.00	99.00	NUM
ajst-21764	240	17	98.92	98.92	NUM
ajst-21764	240	18	98.41	98.41	NUM
ajst-21764	240	19	lgonbp	lgonbp	NOUN
ajst-21764	240	20	90.89	90.89	NUM
ajst-21764	240	21	96.79	96.79	NUM
ajst-21764	240	22	95.76	95.76	NUM
ajst-21764	240	23	99.17	99.17	NUM
ajst-21764	240	24	99.58	99.58	NUM
ajst-21764	240	25	99.48	99.48	NUM
ajst-21764	240	26	98.95	98.95	NUM
ajst-21764	240	27	lgonbp_thace	lgonbp_thace	NOUN
ajst-21764	240	28	94.64	94.64	NUM
ajst-21764	240	29	97.39	97.39	NUM
ajst-21764	240	30	96.09	96.09	NUM
ajst-21764	240	31	99.58	99.58	NUM
ajst-21764	240	32	99.73	99.73	NUM
ajst-21764	240	33	99.61	99.61	NUM
ajst-21764	240	34	99.16	99.16	NUM
ajst-21764	240	35	lnmp	lnmp	NOUN
ajst-21764	240	36	98.21	98.21	NUM
ajst-21764	240	37	96.47	96.47	NUM
ajst-21764	240	38	94.14	94.14	NUM
ajst-21764	240	39	99.16	99.16	NUM
ajst-21764	240	40	99.16	99.16	NUM
ajst-21764	240	41	96.97	96.97	NUM
ajst-21764	240	42	96.66	96.66	NUM
ajst-21764	240	43	lenmp	lenmp	NOUN
ajst-21764	240	44	99.23	99.23	NUM
ajst-21764	240	45	97.96	97.96	NUM
ajst-21764	240	46	99.69	99.69	NUM
ajst-21764	240	47	100	100	NUM
ajst-21764	240	48	100	100	NUM
ajst-21764	240	49	99.68	99.68	NUM
ajst-21764	240	50	99.38	99.38	NUM
ajst-21764	240	51	5	5	NUM
ajst-21764	240	52	.	.	PUNCT
ajst-21764	241	1	conlusion	conlusion	NOUN
ajst-21764	241	2	this	this	DET
ajst-21764	241	3	paper	paper	NOUN
ajst-21764	241	4	proposes	propose	VERB
ajst-21764	241	5	a	a	DET
ajst-21764	241	6	method	method	NOUN
ajst-21764	241	7	called	call	VERB
ajst-21764	241	8	local	local	ADJ
ajst-21764	241	9	enhancement	enhancement	NOUN
ajst-21764	241	10	and	and	CCONJ
ajst-21764	241	11	non	non	ADJ
ajst-21764	241	12	-	-	ADJ
ajst-21764	241	13	local	local	ADJ
ajst-21764	241	14	median	median	ADJ
ajst-21764	241	15	pattern	pattern	NOUN
ajst-21764	241	16	(	(	PUNCT
ajst-21764	241	17	lenmp	lenmp	PROPN
ajst-21764	241	18	)	)	PUNCT
ajst-21764	241	19	for	for	ADP
ajst-21764	241	20	texture	texture	ADJ
ajst-21764	241	21	classification	classification	NOUN
ajst-21764	241	22	.	.	PUNCT
ajst-21764	242	1	lenmp	lenmp	PROPN
ajst-21764	242	2	captures	capture	VERB
ajst-21764	242	3	more	more	ADJ
ajst-21764	242	4	edge	edge	NOUN
ajst-21764	242	5	contour	contour	NOUN
ajst-21764	242	6	details	detail	NOUN
ajst-21764	242	7	and	and	CCONJ
ajst-21764	242	8	enhances	enhance	VERB
ajst-21764	242	9	robustness	robustness	NOUN
ajst-21764	242	10	to	to	ADP
ajst-21764	242	11	gaussian	gaussian	VERB
ajst-21764	242	12	and	and	CCONJ
ajst-21764	242	13	salt	salt	NOUN
ajst-21764	242	14	and	and	CCONJ
ajst-21764	242	15	pepper	pepper	NOUN
ajst-21764	242	16	noise	noise	NOUN
ajst-21764	242	17	.	.	PUNCT
ajst-21764	243	1	firstly	firstly	ADV
ajst-21764	243	2	,	,	PUNCT
ajst-21764	243	3	thace	thace	NOUN
ajst-21764	243	4	is	be	AUX
ajst-21764	243	5	employed	employ	VERB
ajst-21764	243	6	to	to	PART
ajst-21764	243	7	enhance	enhance	VERB
ajst-21764	243	8	the	the	DET
ajst-21764	243	9	highfrequency	highfrequency	NOUN
ajst-21764	243	10	information	information	NOUN
ajst-21764	243	11	of	of	ADP
ajst-21764	243	12	the	the	DET
ajst-21764	243	13	image	image	NOUN
ajst-21764	243	14	,	,	PUNCT
ajst-21764	243	15	extracting	extract	VERB
ajst-21764	243	16	more	more	ADJ
ajst-21764	243	17	texture	texture	ADJ
ajst-21764	243	18	edge	edge	NOUN
ajst-21764	243	19	information	information	NOUN
ajst-21764	243	20	.	.	PUNCT
ajst-21764	244	1	then	then	ADV
ajst-21764	244	2	,	,	PUNCT
ajst-21764	244	3	the	the	DET
ajst-21764	244	4	lep	lep	PROPN
ajst-21764	244	5	and	and	CCONJ
ajst-21764	244	6	nmbp	nmbp	NOUN
ajst-21764	244	7	operators	operator	NOUN
ajst-21764	244	8	are	be	AUX
ajst-21764	244	9	subjected	subject	VERB
ajst-21764	244	10	to	to	ADP
ajst-21764	244	11	median	median	ADJ
ajst-21764	244	12	sampling	sample	VERB
ajst-21764	244	13	to	to	PART
ajst-21764	244	14	extract	extract	VERB
ajst-21764	244	15	larger	large	ADJ
ajst-21764	244	16	spatial	spatial	ADJ
ajst-21764	244	17	information	information	NOUN
ajst-21764	244	18	.	.	PUNCT
ajst-21764	245	1	combining	combine	VERB
ajst-21764	245	2	lep	lep	PROPN
ajst-21764	245	3	and	and	CCONJ
ajst-21764	245	4	nmbp	nmbp	NOUN
ajst-21764	245	5	,	,	PUNCT
ajst-21764	245	6	local	local	ADJ
ajst-21764	245	7	and	and	CCONJ
ajst-21764	245	8	non	non	ADJ
ajst-21764	245	9	-	-	ADJ
ajst-21764	245	10	local	local	ADJ
ajst-21764	245	11	information	information	NOUN
ajst-21764	245	12	are	be	AUX
ajst-21764	245	13	respectively	respectively	ADV
ajst-21764	245	14	extracted	extract	VERB
ajst-21764	245	15	,	,	PUNCT
ajst-21764	245	16	and	and	CCONJ
ajst-21764	245	17	the	the	DET
ajst-21764	245	18	complementary	complementary	ADJ
ajst-21764	245	19	operators	operator	NOUN
ajst-21764	245	20	are	be	AUX
ajst-21764	245	21	combined	combine	VERB
ajst-21764	245	22	to	to	PART
ajst-21764	245	23	obtain	obtain	VERB
ajst-21764	245	24	the	the	DET
ajst-21764	245	25	lenmp	lenmp	NOUN
ajst-21764	245	26	descriptor	descriptor	NOUN
ajst-21764	245	27	.	.	PUNCT
ajst-21764	246	1	a	a	DET
ajst-21764	246	2	series	series	NOUN
ajst-21764	246	3	of	of	ADP
ajst-21764	246	4	comparative	comparative	ADJ
ajst-21764	246	5	experiments	experiment	NOUN
ajst-21764	246	6	are	be	AUX
ajst-21764	246	7	conducted	conduct	VERB
ajst-21764	246	8	on	on	ADP
ajst-21764	246	9	several	several	ADJ
ajst-21764	246	10	public	public	ADJ
ajst-21764	246	11	datasets	dataset	NOUN
ajst-21764	246	12	(	(	PUNCT
ajst-21764	246	13	outex	outex	PROPN
ajst-21764	246	14	,	,	PUNCT
ajst-21764	246	15	curet	curet	ADJ
ajst-21764	246	16	,	,	PUNCT
ajst-21764	246	17	brodatz	brodatz	NOUN
ajst-21764	246	18	,	,	PUNCT
ajst-21764	246	19	kthtips	kthtips	PROPN
ajst-21764	246	20	,	,	PUNCT
ajst-21764	246	21	and	and	CCONJ
ajst-21764	246	22	kylberg	kylberg	PROPN
ajst-21764	246	23	)	)	PUNCT
ajst-21764	246	24	with	with	ADP
ajst-21764	246	25	various	various	ADJ
ajst-21764	246	26	descriptor	descriptor	NOUN
ajst-21764	246	27	methods	method	NOUN
ajst-21764	246	28	.	.	PUNCT
ajst-21764	247	1	the	the	DET
ajst-21764	247	2	experimental	experimental	ADJ
ajst-21764	247	3	outcomes	outcome	NOUN
ajst-21764	247	4	demonstrate	demonstrate	VERB
ajst-21764	247	5	that	that	SCONJ
ajst-21764	247	6	the	the	DET
ajst-21764	247	7	lenmp	lenmp	PROPN
ajst-21764	247	8	descriptor	descriptor	NOUN
ajst-21764	247	9	exhibits	exhibit	VERB
ajst-21764	247	10	excellent	excellent	ADJ
ajst-21764	247	11	classification	classification	NOUN
ajst-21764	247	12	performance	performance	NOUN
ajst-21764	247	13	and	and	CCONJ
ajst-21764	247	14	noise	noise	NOUN
ajst-21764	247	15	robustness	robustness	NOUN
ajst-21764	247	16	,	,	PUNCT
ajst-21764	247	17	remaining	remain	VERB
ajst-21764	247	18	competitive	competitive	ADJ
ajst-21764	247	19	compared	compare	VERB
ajst-21764	247	20	to	to	ADP
ajst-21764	247	21	the	the	DET
ajst-21764	247	22	latest	late	ADJ
ajst-21764	247	23	descriptor	descriptor	NOUN
ajst-21764	247	24	methods	method	NOUN
ajst-21764	247	25	.	.	PUNCT
ajst-21764	248	1	96	96	NUM
ajst-21764	248	2	references	reference	NOUN
ajst-21764	248	3	[	[	X
ajst-21764	248	4	1	1	NUM
ajst-21764	248	5	]	]	PUNCT
ajst-21764	248	6	khadiri	khadiri	NOUN
ajst-21764	248	7	i	i	PRON
ajst-21764	248	8	e	e	PROPN
ajst-21764	248	9	,	,	PUNCT
ajst-21764	248	10	merabet	merabet	NOUN
ajst-21764	248	11	y	y	PROPN
ajst-21764	248	12	e	e	PROPN
ajst-21764	248	13	,	,	PUNCT
ajst-21764	248	14	tarawneh	tarawneh	VERB
ajst-21764	248	15	a	a	DET
ajst-21764	248	16	s	s	PROPN
ajst-21764	248	17	,	,	PUNCT
ajst-21764	248	18	et	et	PROPN
ajst-21764	248	19	al	al	PROPN
ajst-21764	248	20	.	.	PUNCT
ajst-21764	249	1	petersen	petersen	PROPN
ajst-21764	249	2	graph	graph	NOUN
ajst-21764	249	3	multi	multi	ADJ
ajst-21764	249	4	-	-	NOUN
ajst-21764	249	5	orientation	orientation	NOUN
ajst-21764	249	6	based	base	VERB
ajst-21764	249	7	multi	multi	ADJ
ajst-21764	249	8	-	-	ADJ
ajst-21764	249	9	scale	scale	ADJ
ajst-21764	249	10	ternary	ternary	ADJ
ajst-21764	249	11	pattern	pattern	NOUN
ajst-21764	249	12	(	(	PUNCT
ajst-21764	249	13	pgmomstp	pgmomstp	PROPN
ajst-21764	249	14	):	):	PUNCT
ajst-21764	249	15	an	an	DET
ajst-21764	249	16	efficient	efficient	ADJ
ajst-21764	249	17	descriptor	descriptor	NOUN
ajst-21764	249	18	for	for	ADP
ajst-21764	249	19	texture	texture	NOUN
ajst-21764	249	20	and	and	CCONJ
ajst-21764	249	21	material	material	NOUN
ajst-21764	249	22	recognition	recognition	NOUN
ajst-21764	250	1	[	[	X
ajst-21764	250	2	j	j	X
ajst-21764	250	3	]	]	X
ajst-21764	250	4	.	.	PUNCT
ajst-21764	251	1	ieee	ieee	NOUN
ajst-21764	251	2	transactions	transaction	NOUN
ajst-21764	251	3	on	on	ADP
ajst-21764	251	4	geoscience	geoscience	NOUN
ajst-21764	251	5	and	and	CCONJ
ajst-21764	251	6	remote	remote	ADJ
ajst-21764	251	7	sensing	sensing	NOUN
ajst-21764	251	8	,	,	PUNCT
ajst-21764	251	9	2021	2021	NUM
ajst-21764	251	10	,	,	PUNCT
ajst-21764	251	11	30	30	NUM
ajst-21764	251	12	:	:	SYM
ajst-21764	251	13	4571	4571	NUM
ajst-21764	251	14	-	-	SYM
ajst-21764	251	15	4586	4586	NUM
ajst-21764	251	16	.	.	PUNCT
ajst-21764	252	1	[	[	X
ajst-21764	252	2	2	2	NUM
ajst-21764	252	3	]	]	PUNCT
ajst-21764	252	4	xiao	xiao	PROPN
ajst-21764	252	5	b	b	PROPN
ajst-21764	252	6	,	,	PUNCT
ajst-21764	252	7	wang	wang	PROPN
ajst-21764	252	8	k	k	PROPN
ajst-21764	252	9	,	,	PUNCT
ajst-21764	252	10	bi	bi	NOUN
ajst-21764	252	11	x	x	PROPN
ajst-21764	252	12	,	,	PUNCT
ajst-21764	252	13	et	et	PROPN
ajst-21764	252	14	al	al	PROPN
ajst-21764	252	15	.	.	PUNCT
ajst-21764	252	16	2d	2d	NOUN
ajst-21764	252	17	-	-	PUNCT
ajst-21764	252	18	lbp	lbp	PROPN
ajst-21764	252	19	:	:	PUNCT
ajst-21764	252	20	an	an	DET
ajst-21764	252	21	enhanced	enhanced	ADJ
ajst-21764	252	22	local	local	ADJ
ajst-21764	252	23	binary	binary	ADJ
ajst-21764	252	24	feature	feature	NOUN
ajst-21764	252	25	for	for	ADP
ajst-21764	252	26	texture	texture	ADJ
ajst-21764	252	27	image	image	NOUN
ajst-21764	252	28	classification	classification	NOUN
ajst-21764	252	29	[	[	X
ajst-21764	252	30	j	j	X
ajst-21764	252	31	]	]	X
ajst-21764	252	32	.	.	PUNCT
ajst-21764	253	1	ieee	ieee	NOUN
ajst-21764	253	2	transactions	transaction	NOUN
ajst-21764	253	3	on	on	ADP
ajst-21764	253	4	circuits	circuit	NOUN
ajst-21764	253	5	and	and	CCONJ
ajst-21764	253	6	systems	system	NOUN
ajst-21764	253	7	for	for	ADP
ajst-21764	253	8	video	video	NOUN
ajst-21764	253	9	technology	technology	NOUN
ajst-21764	253	10	,	,	PUNCT
ajst-21764	253	11	2019	2019	NUM
ajst-21764	253	12	,	,	PUNCT
ajst-21764	253	13	9(29	9(29	NUM
ajst-21764	253	14	):	):	PUNCT
ajst-21764	253	15	2796	2796	NUM
ajst-21764	253	16	-	-	SYM
ajst-21764	253	17	2808	2808	NUM
ajst-21764	253	18	.	.	PUNCT
ajst-21764	254	1	[	[	X
ajst-21764	254	2	3	3	X
ajst-21764	254	3	]	]	X
ajst-21764	254	4	ojala	ojala	PROPN
ajst-21764	254	5	t	t	PROPN
ajst-21764	254	6	,	,	PUNCT
ajst-21764	254	7	pietikainen	pietikainen	PROPN
ajst-21764	254	8	m	m	PROPN
ajst-21764	254	9	,	,	PUNCT
ajst-21764	254	10	maenpaa	maenpaa	ADJ
ajst-21764	254	11	t.	t.	NOUN
ajst-21764	254	12	multiresolution	multiresolution	NOUN
ajst-21764	254	13	gray	gray	ADJ
ajst-21764	254	14	-	-	PUNCT
ajst-21764	254	15	scale	scale	NOUN
ajst-21764	254	16	and	and	CCONJ
ajst-21764	254	17	rotation	rotation	NOUN
ajst-21764	254	18	invariant	invariant	ADJ
ajst-21764	254	19	texture	texture	NOUN
ajst-21764	254	20	classification	classification	NOUN
ajst-21764	254	21	with	with	ADP
ajst-21764	254	22	local	local	ADJ
ajst-21764	254	23	binary	binary	ADJ
ajst-21764	254	24	patterns	pattern	NOUN
ajst-21764	254	25	[	[	X
ajst-21764	254	26	j	j	X
ajst-21764	254	27	]	]	X
ajst-21764	254	28	.	.	PUNCT
ajst-21764	255	1	ieee	ieee	NOUN
ajst-21764	255	2	transactions	transaction	NOUN
ajst-21764	255	3	on	on	ADP
ajst-21764	255	4	pattern	pattern	NOUN
ajst-21764	255	5	analysis	analysis	NOUN
ajst-21764	255	6	and	and	CCONJ
ajst-21764	255	7	machine	machine	NOUN
ajst-21764	255	8	intelligence	intelligence	NOUN
ajst-21764	255	9	,	,	PUNCT
ajst-21764	255	10	2002	2002	NUM
ajst-21764	255	11	,	,	PUNCT
ajst-21764	255	12	24(7	24(7	NUM
ajst-21764	255	13	):	):	PUNCT
ajst-21764	255	14	971	971	NUM
ajst-21764	255	15	-	-	SYM
ajst-21764	255	16	987	987	NUM
ajst-21764	255	17	.	.	PUNCT
ajst-21764	256	1	[	[	X
ajst-21764	256	2	4	4	NUM
ajst-21764	256	3	]	]	X
ajst-21764	256	4	liao	liao	PROPN
ajst-21764	256	5	s	s	PROPN
ajst-21764	256	6	,	,	PUNCT
ajst-21764	256	7	law	law	NOUN
ajst-21764	256	8	m	m	PROPN
ajst-21764	256	9	w	w	PROPN
ajst-21764	256	10	k	k	PROPN
ajst-21764	256	11	,	,	PUNCT
ajst-21764	256	12	chung	chung	VERB
ajst-21764	256	13	a	a	DET
ajst-21764	256	14	c	c	PROPN
ajst-21764	256	15	s.	s.	PROPN
ajst-21764	256	16	dominant	dominant	PROPN
ajst-21764	256	17	local	local	ADJ
ajst-21764	256	18	binary	binary	ADJ
ajst-21764	256	19	patterns	pattern	NOUN
ajst-21764	256	20	for	for	ADP
ajst-21764	256	21	texture	texture	NOUN
ajst-21764	256	22	classification[j	classification[j	NOUN
ajst-21764	256	23	]	]	PUNCT
ajst-21764	256	24	.	.	PUNCT
ajst-21764	257	1	ieee	ieee	NOUN
ajst-21764	257	2	transactions	transaction	NOUN
ajst-21764	257	3	on	on	ADP
ajst-21764	257	4	image	image	NOUN
ajst-21764	257	5	processing	processing	NOUN
ajst-21764	257	6	,	,	PUNCT
ajst-21764	257	7	2009	2009	NUM
ajst-21764	257	8	,	,	PUNCT
ajst-21764	257	9	18(5	18(5	NUM
ajst-21764	257	10	):	):	PUNCT
ajst-21764	257	11	1107	1107	NUM
ajst-21764	257	12	-	-	SYM
ajst-21764	257	13	1118	1118	NUM
ajst-21764	257	14	.	.	PUNCT
ajst-21764	258	1	[	[	X
ajst-21764	258	2	5	5	NUM
ajst-21764	258	3	]	]	X
ajst-21764	258	4	deng	deng	PROPN
ajst-21764	258	5	w	w	PROPN
ajst-21764	258	6	,	,	PUNCT
ajst-21764	258	7	hu	hu	PROPN
ajst-21764	258	8	j	j	PROPN
ajst-21764	258	9	,	,	PUNCT
ajst-21764	258	10	guo	guo	PROPN
ajst-21764	258	11	j.	j.	PROPN
ajst-21764	258	12	compressive	compressive	PROPN
ajst-21764	258	13	binary	binary	PROPN
ajst-21764	258	14	patterns	pattern	NOUN
ajst-21764	258	15	:	:	PUNCT
ajst-21764	258	16	designing	design	VERB
ajst-21764	258	17	a	a	DET
ajst-21764	258	18	robust	robust	ADJ
ajst-21764	258	19	binary	binary	ADJ
ajst-21764	258	20	face	face	NOUN
ajst-21764	258	21	descriptor	descriptor	NOUN
ajst-21764	258	22	with	with	ADP
ajst-21764	258	23	random	random	ADJ
ajst-21764	258	24	-	-	PUNCT
ajst-21764	258	25	field	field	NOUN
ajst-21764	258	26	eigenfilters	eigenfilter	NOUN
ajst-21764	259	1	[	[	X
ajst-21764	259	2	j	j	X
ajst-21764	259	3	]	]	X
ajst-21764	259	4	.	.	PUNCT
ajst-21764	260	1	ieee	ieee	NOUN
ajst-21764	260	2	transactions	transaction	NOUN
ajst-21764	260	3	on	on	ADP
ajst-21764	260	4	pattern	pattern	NOUN
ajst-21764	260	5	analysis	analysis	NOUN
ajst-21764	260	6	and	and	CCONJ
ajst-21764	260	7	machine	machine	NOUN
ajst-21764	260	8	intelligence	intelligence	NOUN
ajst-21764	260	9	,	,	PUNCT
ajst-21764	260	10	2018	2018	NUM
ajst-21764	260	11	,	,	PUNCT
ajst-21764	260	12	41(3	41(3	NUM
ajst-21764	260	13	):	):	PUNCT
ajst-21764	260	14	758	758	NUM
ajst-21764	260	15	-	-	SYM
ajst-21764	260	16	767	767	NUM
ajst-21764	260	17	.	.	PUNCT
ajst-21764	261	1	[	[	X
ajst-21764	261	2	6	6	NUM
ajst-21764	261	3	]	]	PUNCT
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ajst-21764	261	5	p	p	PROPN
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ajst-21764	261	9	t	t	PROPN
ajst-21764	261	10	,	,	PUNCT
ajst-21764	261	11	dogan	dogan	PROPN
ajst-21764	261	12	s	s	PROPN
ajst-21764	261	13	,	,	PUNCT
ajst-21764	261	14	et	et	PROPN
ajst-21764	261	15	al	al	PROPN
ajst-21764	261	16	.	.	PROPN
ajst-21764	261	17	automated	automate	VERB
ajst-21764	261	18	eeg	eeg	PROPN
ajst-21764	261	19	sentence	sentence	NOUN
ajst-21764	261	20	classification	classification	NOUN
ajst-21764	261	21	using	use	VERB
ajst-21764	261	22	novel	novel	ADJ
ajst-21764	261	23	dynamic	dynamic	ADJ
ajst-21764	261	24	-	-	PUNCT
ajst-21764	261	25	sized	sized	ADJ
ajst-21764	261	26	binary	binary	ADJ
ajst-21764	261	27	pattern	pattern	NOUN
ajst-21764	261	28	and	and	CCONJ
ajst-21764	261	29	multilevel	multilevel	VERB
ajst-21764	261	30	discrete	discrete	ADJ
ajst-21764	261	31	wavelet	wavelet	NOUN
ajst-21764	261	32	transform	transform	NOUN
ajst-21764	261	33	techniques	technique	NOUN
ajst-21764	261	34	with	with	ADP
ajst-21764	261	35	tseeg	tseeg	ADJ
ajst-21764	261	36	database	database	NOUN
ajst-21764	262	1	[	[	X
ajst-21764	262	2	j	j	X
ajst-21764	262	3	]	]	X
ajst-21764	262	4	.	.	PUNCT
ajst-21764	263	1	biomedical	biomedical	ADJ
ajst-21764	263	2	signal	signal	NOUN
ajst-21764	263	3	processing	processing	NOUN
ajst-21764	263	4	and	and	CCONJ
ajst-21764	263	5	control	control	NOUN
ajst-21764	263	6	,	,	PUNCT
ajst-21764	263	7	2023	2023	NUM
ajst-21764	263	8	,	,	PUNCT
ajst-21764	263	9	79	79	NUM
ajst-21764	263	10	:	:	SYM
ajst-21764	263	11	104055	104055	NUM
ajst-21764	263	12	.	.	PUNCT
ajst-21764	264	1	[	[	X
ajst-21764	264	2	7	7	NUM
ajst-21764	264	3	]	]	X
ajst-21764	264	4	zhong	zhong	PROPN
ajst-21764	264	5	y	y	PROPN
ajst-21764	264	6	,	,	PUNCT
ajst-21764	264	7	deng	deng	PROPN
ajst-21764	264	8	w	w	PROPN
ajst-21764	264	9	,	,	PUNCT
ajst-21764	264	10	hu	hu	PROPN
ajst-21764	264	11	j	j	PROPN
ajst-21764	264	12	,	,	PUNCT
ajst-21764	264	13	et	et	PROPN
ajst-21764	264	14	al	al	PROPN
ajst-21764	264	15	.	.	PROPN
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ajst-21764	264	17	:	:	PUNCT
ajst-21764	264	18	sigmoid	sigmoid	NOUN
ajst-21764	264	19	-	-	PUNCT
ajst-21764	264	20	constrained	constrain	VERB
ajst-21764	264	21	hypersphere	hypersphere	NOUN
ajst-21764	264	22	loss	loss	NOUN
ajst-21764	264	23	for	for	ADP
ajst-21764	264	24	robust	robust	ADJ
ajst-21764	264	25	face	face	NOUN
ajst-21764	264	26	recognition	recognition	NOUN
ajst-21764	264	27	[	[	X
ajst-21764	264	28	j	j	X
ajst-21764	264	29	]	]	X
ajst-21764	264	30	.	.	PUNCT
ajst-21764	265	1	ieee	ieee	NOUN
ajst-21764	265	2	transactions	transaction	NOUN
ajst-21764	265	3	on	on	ADP
ajst-21764	265	4	image	image	NOUN
ajst-21764	265	5	processing	processing	NOUN
ajst-21764	265	6	,	,	PUNCT
ajst-21764	265	7	2021	2021	NUM
ajst-21764	265	8	,	,	PUNCT
ajst-21764	265	9	30	30	NUM
ajst-21764	265	10	:	:	SYM
ajst-21764	265	11	2587	2587	NUM
ajst-21764	265	12	-	-	SYM
ajst-21764	265	13	2598	2598	NUM
ajst-21764	265	14	.	.	PUNCT
ajst-21764	266	1	[	[	X
ajst-21764	266	2	8	8	NUM
ajst-21764	266	3	]	]	X
ajst-21764	266	4	yu	yu	PROPN
ajst-21764	266	5	x	x	PROPN
ajst-21764	266	6	,	,	PUNCT
ajst-21764	266	7	lu	lu	PROPN
ajst-21764	266	8	x.	x.	NOUN
ajst-21764	266	9	domain	domain	NOUN
ajst-21764	266	10	adaptation	adaptation	NOUN
ajst-21764	266	11	of	of	ADP
ajst-21764	266	12	anchor	anchor	NOUN
ajst-21764	266	13	-	-	PUNCT
ajst-21764	266	14	free	free	ADJ
ajst-21764	266	15	object	object	NOUN
ajst-21764	266	16	detection	detection	NOUN
ajst-21764	266	17	for	for	ADP
ajst-21764	266	18	urban	urban	ADJ
ajst-21764	266	19	traffic	traffic	NOUN
ajst-21764	267	1	[	[	X
ajst-21764	267	2	j	j	X
ajst-21764	267	3	]	]	X
ajst-21764	267	4	.	.	PUNCT
ajst-21764	268	1	neurocomputing	neurocomputing	NOUN
ajst-21764	268	2	,	,	PUNCT
ajst-21764	268	3	2024	2024	NUM
ajst-21764	268	4	:	:	PUNCT
ajst-21764	268	5	127477	127477	NUM
ajst-21764	268	6	.	.	PUNCT
ajst-21764	269	1	[	[	X
ajst-21764	269	2	9	9	NUM
ajst-21764	269	3	]	]	PUNCT
ajst-21764	269	4	girum	girum	NOUN
ajst-21764	269	5	k	k	PROPN
ajst-21764	269	6	b	b	PROPN
ajst-21764	269	7	,	,	PUNCT
ajst-21764	269	8	créhange	créhange	VERB
ajst-21764	269	9	g	g	NOUN
ajst-21764	269	10	,	,	PUNCT
ajst-21764	269	11	lalande	lalande	ADJ
ajst-21764	269	12	a.	a.	NOUN
ajst-21764	269	13	learning	learning	NOUN
ajst-21764	269	14	with	with	ADP
ajst-21764	269	15	context	context	NOUN
ajst-21764	269	16	feedback	feedback	NOUN
ajst-21764	269	17	loop	loop	NOUN
ajst-21764	269	18	for	for	ADP
ajst-21764	269	19	robust	robust	ADJ
ajst-21764	269	20	medical	medical	ADJ
ajst-21764	269	21	image	image	NOUN
ajst-21764	269	22	segmentation	segmentation	NOUN
ajst-21764	269	23	[	[	X
ajst-21764	269	24	j	j	X
ajst-21764	269	25	]	]	X
ajst-21764	269	26	.	.	PUNCT
ajst-21764	270	1	ieee	ieee	NOUN
ajst-21764	270	2	transactions	transaction	NOUN
ajst-21764	270	3	on	on	ADP
ajst-21764	270	4	medical	medical	ADJ
ajst-21764	270	5	imaging	imaging	NOUN
ajst-21764	270	6	,	,	PUNCT
ajst-21764	270	7	2021	2021	NUM
ajst-21764	270	8	,	,	PUNCT
ajst-21764	270	9	40(6	40(6	NOUN
ajst-21764	270	10	):	):	PUNCT
ajst-21764	270	11	1542	1542	NUM
ajst-21764	270	12	-	-	SYM
ajst-21764	270	13	1554	1554	NUM
ajst-21764	270	14	.	.	PUNCT
ajst-21764	271	1	[	[	X
ajst-21764	271	2	10	10	NUM
ajst-21764	271	3	]	]	X
ajst-21764	271	4	xia	xia	PROPN
ajst-21764	271	5	z	z	PROPN
ajst-21764	271	6	,	,	PUNCT
ajst-21764	271	7	yuan	yuan	NOUN
ajst-21764	271	8	c	c	X
ajst-21764	271	9	,	,	PUNCT
ajst-21764	271	10	lv	lv	PROPN
ajst-21764	271	11	r	r	PROPN
ajst-21764	271	12	,	,	PUNCT
ajst-21764	271	13	et	et	PROPN
ajst-21764	271	14	al	al	PROPN
ajst-21764	271	15	.	.	PUNCT
ajst-21764	272	1	a	a	DET
ajst-21764	272	2	novel	novel	ADJ
ajst-21764	272	3	weber	weber	PROPN
ajst-21764	272	4	local	local	ADJ
ajst-21764	272	5	binary	binary	ADJ
ajst-21764	272	6	descriptor	descriptor	NOUN
ajst-21764	272	7	for	for	ADP
ajst-21764	272	8	fingerprint	fingerprint	NOUN
ajst-21764	272	9	liveness	liveness	NOUN
ajst-21764	272	10	detection	detection	NOUN
ajst-21764	273	1	[	[	X
ajst-21764	273	2	j	j	X
ajst-21764	273	3	]	]	X
ajst-21764	273	4	.	.	PUNCT
ajst-21764	274	1	ieee	ieee	NOUN
ajst-21764	274	2	transactions	transaction	NOUN
ajst-21764	274	3	on	on	ADP
ajst-21764	274	4	systems	system	NOUN
ajst-21764	274	5	,	,	PUNCT
ajst-21764	274	6	man	man	NOUN
ajst-21764	274	7	,	,	PUNCT
ajst-21764	274	8	and	and	CCONJ
ajst-21764	274	9	cybernetics	cybernetic	NOUN
ajst-21764	274	10	:	:	PUNCT
ajst-21764	274	11	systems	system	NOUN
ajst-21764	274	12	,	,	PUNCT
ajst-21764	274	13	2018	2018	NUM
ajst-21764	274	14	,	,	PUNCT
ajst-21764	274	15	50(4	50(4	NUM
ajst-21764	274	16	):	):	PUNCT
ajst-21764	274	17	1526	1526	NUM
ajst-21764	274	18	-	-	SYM
ajst-21764	274	19	1536	1536	NUM
ajst-21764	274	20	.	.	PUNCT
ajst-21764	275	1	[	[	X
ajst-21764	275	2	11	11	NUM
ajst-21764	275	3	]	]	X
ajst-21764	275	4	dong	dong	PROPN
ajst-21764	275	5	y	y	PROPN
ajst-21764	275	6	,	,	PUNCT
ajst-21764	275	7	jin	jin	PROPN
ajst-21764	275	8	m	m	PROPN
ajst-21764	275	9	,	,	PUNCT
ajst-21764	275	10	li	li	PROPN
ajst-21764	275	11	x	x	PROPN
ajst-21764	275	12	,	,	PUNCT
ajst-21764	275	13	et	et	PROPN
ajst-21764	275	14	al	al	PROPN
ajst-21764	275	15	.	.	PUNCT
ajst-21764	275	16	compact	compact	ADJ
ajst-21764	275	17	interchannel	interchannel	NOUN
ajst-21764	275	18	sampling	sample	VERB
ajst-21764	275	19	difference	difference	NOUN
ajst-21764	275	20	descriptor	descriptor	NOUN
ajst-21764	275	21	for	for	ADP
ajst-21764	275	22	color	color	NOUN
ajst-21764	275	23	texture	texture	NOUN
ajst-21764	275	24	classification	classification	NOUN
ajst-21764	276	1	[	[	X
ajst-21764	276	2	j	j	X
ajst-21764	276	3	]	]	X
ajst-21764	276	4	.	.	PUNCT
ajst-21764	277	1	ieee	ieee	NOUN
ajst-21764	277	2	transactions	transaction	NOUN
ajst-21764	277	3	on	on	ADP
ajst-21764	277	4	circuits	circuit	NOUN
ajst-21764	277	5	and	and	CCONJ
ajst-21764	277	6	systems	system	NOUN
ajst-21764	277	7	for	for	ADP
ajst-21764	277	8	video	video	NOUN
ajst-21764	277	9	technology	technology	NOUN
ajst-21764	277	10	,	,	PUNCT
ajst-21764	277	11	2020	2020	NUM
ajst-21764	277	12	,	,	PUNCT
ajst-21764	277	13	31(5	31(5	NUM
ajst-21764	277	14	):	):	PUNCT
ajst-21764	277	15	1684	1684	NUM
ajst-21764	277	16	-	-	SYM
ajst-21764	277	17	1696	1696	NUM
ajst-21764	277	18	.	.	PUNCT
ajst-21764	278	1	[	[	X
ajst-21764	278	2	12	12	NUM
ajst-21764	278	3	]	]	PUNCT
ajst-21764	278	4	he	he	PRON
ajst-21764	278	5	j	j	PROPN
ajst-21764	278	6	,	,	PUNCT
ajst-21764	278	7	shen	shen	PROPN
ajst-21764	278	8	l	l	PROPN
ajst-21764	278	9	,	,	PUNCT
ajst-21764	278	10	yao	yao	PROPN
ajst-21764	278	11	y	y	PROPN
ajst-21764	278	12	,	,	PUNCT
ajst-21764	279	1	et	et	PROPN
ajst-21764	279	2	al	al	PROPN
ajst-21764	279	3	.	.	PUNCT
ajst-21764	279	4	finger	finger	PROPN
ajst-21764	279	5	vein	vein	VERB
ajst-21764	279	6	image	image	NOUN
ajst-21764	279	7	deblurring	deblurre	VERB
ajst-21764	279	8	using	use	VERB
ajst-21764	279	9	neighbors	neighbor	NOUN
ajst-21764	279	10	-	-	PUNCT
ajst-21764	279	11	based	base	VERB
ajst-21764	279	12	binary	binary	NOUN
ajst-21764	279	13	-	-	PUNCT
ajst-21764	279	14	gan	gan	PROPN
ajst-21764	279	15	(	(	PUNCT
ajst-21764	279	16	nb	nb	NOUN
ajst-21764	279	17	-	-	PUNCT
ajst-21764	279	18	gan	gan	NOUN
ajst-21764	279	19	)	)	PUNCT
ajst-21764	280	1	[	[	X
ajst-21764	280	2	j	j	X
ajst-21764	280	3	]	]	X
ajst-21764	280	4	.	.	PUNCT
ajst-21764	281	1	ieee	ieee	NOUN
ajst-21764	281	2	transactions	transaction	NOUN
ajst-21764	281	3	on	on	ADP
ajst-21764	281	4	emerging	emerge	VERB
ajst-21764	281	5	topics	topic	NOUN
ajst-21764	281	6	in	in	ADP
ajst-21764	281	7	computational	computational	ADJ
ajst-21764	281	8	intelligence	intelligence	NOUN
ajst-21764	281	9	,	,	PUNCT
ajst-21764	281	10	2021	2021	NUM
ajst-21764	281	11	,	,	PUNCT
ajst-21764	281	12	7(2	7(2	NUM
ajst-21764	281	13	):	):	PUNCT
ajst-21764	281	14	295	295	NUM
ajst-21764	281	15	-	-	SYM
ajst-21764	281	16	307	307	NUM
ajst-21764	281	17	.	.	PUNCT
ajst-21764	282	1	[	[	X
ajst-21764	282	2	13	13	NUM
ajst-21764	282	3	]	]	X
ajst-21764	282	4	guo	guo	PROPN
ajst-21764	282	5	z	z	PROPN
ajst-21764	282	6	,	,	PUNCT
ajst-21764	282	7	zhang	zhang	PROPN
ajst-21764	282	8	l	l	PROPN
ajst-21764	282	9	,	,	PUNCT
ajst-21764	282	10	zhang	zhang	PROPN
ajst-21764	282	11	d.	d.	PROPN
ajst-21764	282	12	a	a	DET
ajst-21764	282	13	completed	complete	VERB
ajst-21764	282	14	patternling	patternling	NOUN
ajst-21764	282	15	of	of	ADP
ajst-21764	282	16	local	local	ADJ
ajst-21764	282	17	binary	binary	ADJ
ajst-21764	282	18	pattern	pattern	NOUN
ajst-21764	282	19	operator	operator	NOUN
ajst-21764	282	20	for	for	ADP
ajst-21764	282	21	texture	texture	ADJ
ajst-21764	282	22	classification	classification	NOUN
ajst-21764	283	1	[	[	X
ajst-21764	283	2	j	j	X
ajst-21764	283	3	]	]	X
ajst-21764	283	4	.	.	PUNCT
ajst-21764	284	1	ieee	ieee	NOUN
ajst-21764	284	2	transactions	transaction	NOUN
ajst-21764	284	3	on	on	ADP
ajst-21764	284	4	image	image	NOUN
ajst-21764	284	5	processing	processing	NOUN
ajst-21764	284	6	,	,	PUNCT
ajst-21764	284	7	2010	2010	NUM
ajst-21764	284	8	,	,	PUNCT
ajst-21764	284	9	19(6	19(6	NUM
ajst-21764	284	10	):	):	PUNCT
ajst-21764	284	11	1657	1657	NUM
ajst-21764	284	12	-	-	SYM
ajst-21764	284	13	1663	1663	NUM
ajst-21764	284	14	.	.	PUNCT
ajst-21764	285	1	[	[	X
ajst-21764	285	2	14	14	NUM
ajst-21764	285	3	]	]	X
ajst-21764	285	4	tan	tan	PROPN
ajst-21764	285	5	x	x	NOUN
ajst-21764	285	6	,	,	PUNCT
ajst-21764	285	7	triggs	triggs	PROPN
ajst-21764	285	8	b.	b.	PROPN
ajst-21764	285	9	enhanced	enhance	VERB
ajst-21764	285	10	local	local	ADJ
ajst-21764	285	11	texture	texture	ADJ
ajst-21764	285	12	feature	feature	NOUN
ajst-21764	285	13	sets	set	NOUN
ajst-21764	285	14	for	for	ADP
ajst-21764	285	15	face	face	NOUN
ajst-21764	285	16	recognition	recognition	NOUN
ajst-21764	285	17	under	under	ADP
ajst-21764	285	18	difficult	difficult	ADJ
ajst-21764	285	19	lighting	lighting	NOUN
ajst-21764	285	20	conditions	condition	NOUN
ajst-21764	286	1	[	[	X
ajst-21764	286	2	j	j	X
ajst-21764	286	3	]	]	X
ajst-21764	286	4	.	.	PUNCT
ajst-21764	287	1	ieee	ieee	NOUN
ajst-21764	287	2	transactions	transaction	NOUN
ajst-21764	287	3	on	on	ADP
ajst-21764	287	4	image	image	NOUN
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ajst-21764	287	6	,	,	PUNCT
ajst-21764	287	7	2010	2010	NUM
ajst-21764	287	8	,	,	PUNCT
ajst-21764	287	9	19(6	19(6	NUM
ajst-21764	287	10	):	):	PUNCT
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ajst-21764	287	12	-	-	SYM
ajst-21764	287	13	1650	1650	NUM
ajst-21764	287	14	.	.	PUNCT
ajst-21764	288	1	[	[	X
ajst-21764	288	2	15	15	NUM
ajst-21764	288	3	]	]	X
ajst-21764	288	4	zheng	zheng	PROPN
ajst-21764	288	5	z	z	PROPN
ajst-21764	288	6	,	,	PUNCT
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ajst-21764	288	8	b	b	PROPN
ajst-21764	288	9	,	,	PUNCT
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ajst-21764	288	11	j	j	PROPN
ajst-21764	288	12	,	,	PUNCT
ajst-21764	288	13	et	et	PROPN
ajst-21764	288	14	al	al	PROPN
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ajst-21764	289	2	local	local	ADJ
ajst-21764	289	3	ternary	ternary	ADJ
ajst-21764	289	4	pattern	pattern	NOUN
ajst-21764	289	5	:	:	PUNCT
ajst-21764	289	6	new	new	ADJ
ajst-21764	289	7	and	and	CCONJ
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ajst-21764	289	10	descriptors	descriptor	NOUN
ajst-21764	289	11	for	for	ADP
ajst-21764	289	12	anti	anti	ADJ
ajst-21764	289	13	-	-	ADJ
ajst-21764	289	14	counterfeiting	counterfeiting	ADJ
ajst-21764	289	15	pattern	pattern	NOUN
ajst-21764	289	16	identification	identification	NOUN
ajst-21764	290	1	[	[	X
ajst-21764	290	2	j	j	X
ajst-21764	290	3	]	]	X
ajst-21764	290	4	.	.	PUNCT
ajst-21764	291	1	ieee	ieee	NOUN
ajst-21764	291	2	transactions	transaction	NOUN
ajst-21764	291	3	on	on	ADP
ajst-21764	291	4	information	information	NOUN
ajst-21764	291	5	forensics	forensic	NOUN
ajst-21764	291	6	and	and	CCONJ
ajst-21764	291	7	security	security	NOUN
ajst-21764	291	8	,	,	PUNCT
ajst-21764	291	9	2022	2022	NUM
ajst-21764	291	10	,	,	PUNCT
ajst-21764	291	11	17	17	NUM
ajst-21764	291	12	:	:	PUNCT
ajst-21764	291	13	970	970	NUM
ajst-21764	291	14	-	-	SYM
ajst-21764	291	15	981	981	NUM
ajst-21764	291	16	.	.	PUNCT
ajst-21764	292	1	[	[	X
ajst-21764	292	2	16	16	NUM
ajst-21764	292	3	]	]	X
ajst-21764	292	4	guo	guo	PROPN
ajst-21764	292	5	z	z	PROPN
ajst-21764	292	6	,	,	PUNCT
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ajst-21764	292	8	l	l	PROPN
ajst-21764	292	9	,	,	PUNCT
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ajst-21764	292	11	d	d	PROPN
ajst-21764	292	12	,	,	PUNCT
ajst-21764	292	13	et	et	PROPN
ajst-21764	292	14	al	al	PROPN
ajst-21764	292	15	.	.	PUNCT
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ajst-21764	293	2	invariant	invariant	ADJ
ajst-21764	293	3	texture	texture	NOUN
ajst-21764	293	4	classification	classification	NOUN
ajst-21764	293	5	using	use	VERB
ajst-21764	293	6	adaptive	adaptive	ADJ
ajst-21764	293	7	lbp	lbp	NOUN
ajst-21764	293	8	with	with	ADP
ajst-21764	293	9	directional	directional	ADJ
ajst-21764	293	10	statistical	statistical	ADJ
ajst-21764	293	11	features	feature	NOUN
ajst-21764	294	1	[	[	X
ajst-21764	294	2	c	c	X
ajst-21764	294	3	]	]	PUNCT
ajst-21764	294	4	.	.	PUNCT
ajst-21764	295	1	ieee	ieee	PROPN
ajst-21764	295	2	international	international	PROPN
ajst-21764	295	3	conference	conference	NOUN
ajst-21764	295	4	on	on	ADP
ajst-21764	295	5	image	image	NOUN
ajst-21764	295	6	processing	processing	NOUN
ajst-21764	295	7	,	,	PUNCT
ajst-21764	295	8	2010	2010	NUM
ajst-21764	295	9	:	:	PUNCT
ajst-21764	295	10	285	285	NUM
ajst-21764	295	11	-	-	SYM
ajst-21764	295	12	288	288	NUM
ajst-21764	295	13	.	.	PUNCT
ajst-21764	296	1	[	[	X
ajst-21764	296	2	17	17	NUM
ajst-21764	296	3	]	]	X
ajst-21764	296	4	dong	dong	PROPN
ajst-21764	296	5	y	y	PROPN
ajst-21764	296	6	,	,	PUNCT
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ajst-21764	296	8	h	h	PROPN
ajst-21764	296	9	,	,	PUNCT
ajst-21764	296	10	li	li	PROPN
ajst-21764	296	11	x	x	PROPN
ajst-21764	296	12	,	,	PUNCT
ajst-21764	296	13	et	et	PROPN
ajst-21764	297	1	al	al	PROPN
ajst-21764	297	2	.	.	PROPN
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ajst-21764	297	4	symmetric	symmetric	ADJ
ajst-21764	297	5	dense	dense	ADJ
ajst-21764	297	6	microblock	microblock	NOUN
ajst-21764	297	7	difference	difference	NOUN
ajst-21764	297	8	for	for	ADP
ajst-21764	297	9	texture	texture	ADJ
ajst-21764	297	10	classification	classification	NOUN
ajst-21764	298	1	[	[	X
ajst-21764	298	2	j	j	X
ajst-21764	298	3	]	]	X
ajst-21764	298	4	.	.	PUNCT
ajst-21764	299	1	ieee	ieee	NOUN
ajst-21764	299	2	transactions	transaction	NOUN
ajst-21764	299	3	on	on	ADP
ajst-21764	299	4	circuits	circuit	NOUN
ajst-21764	299	5	and	and	CCONJ
ajst-21764	299	6	systems	system	NOUN
ajst-21764	299	7	for	for	ADP
ajst-21764	299	8	video	video	NOUN
ajst-21764	299	9	technology	technology	NOUN
ajst-21764	299	10	,	,	PUNCT
ajst-21764	299	11	2018	2018	NUM
ajst-21764	299	12	,	,	PUNCT
ajst-21764	299	13	29(12	29(12	NUM
ajst-21764	299	14	):	):	PUNCT
ajst-21764	299	15	3583	3583	NUM
ajst-21764	299	16	-	-	SYM
ajst-21764	299	17	3594	3594	NUM
ajst-21764	299	18	.	.	PUNCT
ajst-21764	300	1	[	[	X
ajst-21764	300	2	18	18	NUM
ajst-21764	300	3	]	]	SYM
ajst-21764	300	4	hu	hu	PROPN
ajst-21764	300	5	s	s	PROPN
ajst-21764	300	6	,	,	PUNCT
ajst-21764	300	7	pan	pan	PROPN
ajst-21764	300	8	z	z	PROPN
ajst-21764	300	9	,	,	PUNCT
ajst-21764	300	10	dong	dong	PROPN
ajst-21764	300	11	j	j	PROPN
ajst-21764	300	12	,	,	PUNCT
ajst-21764	300	13	et	et	PROPN
ajst-21764	300	14	al	al	PROPN
ajst-21764	300	15	.	.	PUNCT
ajst-21764	301	1	a	a	DET
ajst-21764	301	2	novel	novel	NOUN
ajst-21764	301	3	adaptively	adaptively	ADV
ajst-21764	301	4	binarizing	binarize	VERB
ajst-21764	301	5	magnitude	magnitude	NOUN
ajst-21764	301	6	vector	vector	NOUN
ajst-21764	301	7	method	method	NOUN
ajst-21764	301	8	in	in	ADP
ajst-21764	301	9	local	local	ADJ
ajst-21764	301	10	binary	binary	ADJ
ajst-21764	301	11	pattern	pattern	NOUN
ajst-21764	301	12	based	base	VERB
ajst-21764	301	13	framework	framework	NOUN
ajst-21764	301	14	for	for	ADP
ajst-21764	301	15	texture	texture	ADJ
ajst-21764	301	16	classification	classification	NOUN
ajst-21764	302	1	[	[	X
ajst-21764	302	2	j	j	X
ajst-21764	302	3	]	]	X
ajst-21764	302	4	.	.	PUNCT
ajst-21764	303	1	ieee	ieee	PROPN
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ajst-21764	303	4	letters	letter	NOUN
ajst-21764	303	5	,	,	PUNCT
ajst-21764	303	6	2022	2022	NUM
ajst-21764	303	7	,	,	PUNCT
ajst-21764	303	8	29	29	NUM
ajst-21764	303	9	:	:	SYM
ajst-21764	303	10	852	852	NUM
ajst-21764	303	11	-	-	SYM
ajst-21764	303	12	856	856	NUM
ajst-21764	303	13	.	.	PUNCT
ajst-21764	304	1	[	[	X
ajst-21764	304	2	19	19	NUM
ajst-21764	304	3	]	]	X
ajst-21764	304	4	ma	ma	PROPN
ajst-21764	304	5	s	s	PROPN
ajst-21764	304	6	,	,	PUNCT
ajst-21764	304	7	hu	hu	PROPN
ajst-21764	305	1	q	q	X
ajst-21764	305	2	,	,	PUNCT
ajst-21764	305	3	zhao	zhao	PROPN
ajst-21764	305	4	s	s	PROPN
ajst-21764	305	5	,	,	PUNCT
ajst-21764	305	6	et	et	PROPN
ajst-21764	305	7	al	al	PROPN
ajst-21764	305	8	.	.	PROPN
ajst-21764	305	9	multiscale	multiscale	PROPN
ajst-21764	305	10	multidirection	multidirection	NOUN
ajst-21764	305	11	binary	binary	NOUN
ajst-21764	305	12	pattern	pattern	NOUN
ajst-21764	305	13	learning	learn	VERB
ajst-21764	305	14	for	for	ADP
ajst-21764	305	15	discriminant	discriminant	ADJ
ajst-21764	305	16	palmprint	palmprint	NOUN
ajst-21764	305	17	identification	identification	NOUN
ajst-21764	305	18	[	[	X
ajst-21764	305	19	j	j	X
ajst-21764	305	20	]	]	X
ajst-21764	305	21	.	.	PUNCT
ajst-21764	306	1	ieee	ieee	NOUN
ajst-21764	306	2	transactions	transaction	NOUN
ajst-21764	306	3	on	on	ADP
ajst-21764	306	4	instrumentation	instrumentation	NOUN
ajst-21764	306	5	and	and	CCONJ
ajst-21764	306	6	measurement	measurement	NOUN
ajst-21764	306	7	,	,	PUNCT
ajst-21764	306	8	2023	2023	NUM
ajst-21764	306	9	,	,	PUNCT
ajst-21764	306	10	72	72	NUM
ajst-21764	306	11	:	:	SYM
ajst-21764	306	12	1	1	NUM
ajst-21764	306	13	-	-	SYM
ajst-21764	306	14	12	12	NUM
ajst-21764	306	15	.	.	PUNCT
ajst-21764	307	1	[	[	X
ajst-21764	307	2	20	20	NUM
ajst-21764	307	3	]	]	X
ajst-21764	307	4	liu	liu	PROPN
ajst-21764	307	5	l	l	PROPN
ajst-21764	307	6	,	,	PUNCT
ajst-21764	307	7	long	long	ADJ
ajst-21764	307	8	y	y	PROPN
ajst-21764	307	9	,	,	PUNCT
ajst-21764	307	10	fieguth	fieguth	VERB
ajst-21764	307	11	p	p	PROPN
ajst-21764	307	12	w	w	PROPN
ajst-21764	307	13	,	,	PUNCT
ajst-21764	307	14	et	et	PROPN
ajst-21764	307	15	al	al	PROPN
ajst-21764	307	16	.	.	PUNCT
ajst-21764	307	17	brint	brint	PROPN
ajst-21764	307	18	:	:	PUNCT
ajst-21764	307	19	binary	binary	ADJ
ajst-21764	307	20	rotation	rotation	NOUN
ajst-21764	307	21	invariant	invariant	VERB
ajst-21764	307	22	and	and	CCONJ
ajst-21764	307	23	noise	noise	VERB
ajst-21764	307	24	tolerant	tolerant	ADJ
ajst-21764	307	25	texture	texture	NOUN
ajst-21764	307	26	classification	classification	NOUN
ajst-21764	307	27	[	[	X
ajst-21764	307	28	j	j	X
ajst-21764	307	29	]	]	X
ajst-21764	307	30	.	.	PUNCT
ajst-21764	308	1	ieee	ieee	NOUN
ajst-21764	308	2	transactions	transaction	NOUN
ajst-21764	308	3	on	on	ADP
ajst-21764	308	4	image	image	NOUN
ajst-21764	308	5	processing	processing	NOUN
ajst-21764	308	6	,	,	PUNCT
ajst-21764	308	7	2014	2014	NUM
ajst-21764	308	8	,	,	PUNCT
ajst-21764	308	9	23(7	23(7	NUM
ajst-21764	308	10	):	):	PUNCT
ajst-21764	308	11	3071	3071	NUM
ajst-21764	308	12	-	-	SYM
ajst-21764	308	13	3084	3084	NUM
ajst-21764	308	14	.	.	PUNCT
ajst-21764	309	1	[	[	X
ajst-21764	309	2	21	21	NUM
ajst-21764	309	3	]	]	X
ajst-21764	309	4	liu	liu	PROPN
ajst-21764	309	5	l	l	PROPN
ajst-21764	309	6	,	,	PUNCT
ajst-21764	309	7	lao	lao	PROPN
ajst-21764	309	8	s	s	PROPN
ajst-21764	309	9	,	,	PUNCT
ajst-21764	309	10	fieguth	fieguth	NOUN
ajst-21764	309	11	p	p	PROPN
ajst-21764	309	12	w	w	PROPN
ajst-21764	309	13	,	,	PUNCT
ajst-21764	309	14	et	et	PROPN
ajst-21764	309	15	al	al	PROPN
ajst-21764	309	16	.	.	PUNCT
ajst-21764	309	17	median	median	PROPN
ajst-21764	309	18	robust	robust	ADJ
ajst-21764	309	19	extended	extended	ADJ
ajst-21764	309	20	local	local	ADJ
ajst-21764	309	21	binary	binary	ADJ
ajst-21764	309	22	pattern	pattern	NOUN
ajst-21764	309	23	for	for	ADP
ajst-21764	309	24	texture	texture	ADJ
ajst-21764	309	25	classification	classification	NOUN
ajst-21764	309	26	[	[	X
ajst-21764	309	27	j	j	X
ajst-21764	309	28	]	]	X
ajst-21764	309	29	.	.	PUNCT
ajst-21764	310	1	ieee	ieee	NOUN
ajst-21764	310	2	transactions	transaction	NOUN
ajst-21764	310	3	on	on	ADP
ajst-21764	310	4	image	image	NOUN
ajst-21764	310	5	processing	processing	NOUN
ajst-21764	310	6	,	,	PUNCT
ajst-21764	310	7	2016	2016	NUM
ajst-21764	310	8	,	,	PUNCT
ajst-21764	310	9	25(3	25(3	NUM
ajst-21764	310	10	):	):	PUNCT
ajst-21764	310	11	1368	1368	NUM
ajst-21764	310	12	-	-	SYM
ajst-21764	310	13	1381	1381	NUM
ajst-21764	310	14	.	.	PUNCT
ajst-21764	311	1	[	[	X
ajst-21764	311	2	22	22	NUM
ajst-21764	311	3	]	]	PUNCT
ajst-21764	311	4	song	song	PROPN
ajst-21764	311	5	t	t	PROPN
ajst-21764	311	6	,	,	PUNCT
ajst-21764	311	7	feng	feng	PROPN
ajst-21764	311	8	j	j	PROPN
ajst-21764	311	9	,	,	PUNCT
ajst-21764	311	10	luo	luo	PROPN
ajst-21764	311	11	l	l	PROPN
ajst-21764	311	12	,	,	PUNCT
ajst-21764	311	13	et	et	PROPN
ajst-21764	311	14	al	al	PROPN
ajst-21764	311	15	.	.	PUNCT
ajst-21764	311	16	robust	robust	ADJ
ajst-21764	311	17	texture	texture	ADJ
ajst-21764	311	18	description	description	NOUN
ajst-21764	311	19	using	use	VERB
ajst-21764	311	20	local	local	ADJ
ajst-21764	311	21	grouped	group	VERB
ajst-21764	311	22	order	order	NOUN
ajst-21764	311	23	pattern	pattern	NOUN
ajst-21764	311	24	and	and	CCONJ
ajst-21764	311	25	non	non	ADJ
ajst-21764	311	26	-	-	ADJ
ajst-21764	311	27	local	local	ADJ
ajst-21764	311	28	binary	binary	ADJ
ajst-21764	311	29	pattern	pattern	NOUN
ajst-21764	311	30	[	[	X
ajst-21764	311	31	j	j	X
ajst-21764	311	32	]	]	X
ajst-21764	311	33	.	.	PUNCT
ajst-21764	312	1	ieee	ieee	NOUN
ajst-21764	312	2	transactions	transaction	NOUN
ajst-21764	312	3	on	on	ADP
ajst-21764	312	4	circuits	circuit	NOUN
ajst-21764	312	5	and	and	CCONJ
ajst-21764	312	6	systems	system	NOUN
ajst-21764	312	7	for	for	ADP
ajst-21764	312	8	video	video	NOUN
ajst-21764	312	9	technology	technology	NOUN
ajst-21764	312	10	,	,	PUNCT
ajst-21764	312	11	2020	2020	NUM
ajst-21764	312	12	,	,	PUNCT
ajst-21764	312	13	31(1	31(1	NUM
ajst-21764	312	14	):	):	PUNCT
ajst-21764	312	15	189	189	NUM
ajst-21764	312	16	-	-	SYM
ajst-21764	312	17	202	202	NUM
ajst-21764	312	18	.	.	PUNCT
ajst-21764	313	1	[	[	X
ajst-21764	313	2	23	23	NUM
ajst-21764	313	3	]	]	X
ajst-21764	313	4	narendra	narendra	PROPN
ajst-21764	313	5	p	p	PROPN
ajst-21764	313	6	m	m	PROPN
ajst-21764	313	7	,	,	PUNCT
ajst-21764	313	8	fitch	fitch	PROPN
ajst-21764	313	9	r	r	PROPN
ajst-21764	313	10	c.	c.	PROPN
ajst-21764	313	11	real	real	ADJ
ajst-21764	313	12	-	-	PUNCT
ajst-21764	313	13	time	time	NOUN
ajst-21764	313	14	adaptive	adaptive	ADJ
ajst-21764	313	15	contrast	contrast	NOUN
ajst-21764	313	16	enhancement	enhancement	NOUN
ajst-21764	313	17	[	[	X
ajst-21764	313	18	j	j	X
ajst-21764	313	19	]	]	X
ajst-21764	313	20	.	.	PUNCT
ajst-21764	314	1	ieee	ieee	NOUN
ajst-21764	314	2	transactions	transaction	NOUN
ajst-21764	314	3	on	on	ADP
ajst-21764	314	4	pattern	pattern	NOUN
ajst-21764	314	5	analysis	analysis	NOUN
ajst-21764	314	6	and	and	CCONJ
ajst-21764	314	7	machine	machine	NOUN
ajst-21764	314	8	intelligence	intelligence	NOUN
ajst-21764	314	9	,	,	PUNCT
ajst-21764	314	10	1981	1981	NUM
ajst-21764	314	11	(	(	PUNCT
ajst-21764	314	12	6	6	NUM
ajst-21764	314	13	):	):	PUNCT
ajst-21764	314	14	655	655	NUM
ajst-21764	314	15	-	-	PUNCT
ajst-21764	314	16	661	661	NUM
ajst-21764	314	17	.	.	PUNCT
ajst-21764	315	1	[	[	X
ajst-21764	315	2	24	24	NUM
ajst-21764	315	3	]	]	X
ajst-21764	315	4	ojala	ojala	PROPN
ajst-21764	315	5	t	t	PROPN
ajst-21764	315	6	,	,	PUNCT
ajst-21764	315	7	maenpaa	maenpaa	PROPN
ajst-21764	315	8	t	t	PROPN
ajst-21764	315	9	,	,	PUNCT
ajst-21764	315	10	pietikainen	pietikainen	PROPN
ajst-21764	315	11	m	m	PROPN
ajst-21764	315	12	,	,	PUNCT
ajst-21764	315	13	et	et	PROPN
ajst-21764	315	14	al	al	PROPN
ajst-21764	315	15	.	.	PROPN
ajst-21764	315	16	outex	outex	PROPN
ajst-21764	315	17	-	-	PUNCT
ajst-21764	315	18	new	new	ADJ
ajst-21764	315	19	framework	framework	NOUN
ajst-21764	315	20	for	for	ADP
ajst-21764	315	21	empirical	empirical	ADJ
ajst-21764	315	22	evaluation	evaluation	NOUN
ajst-21764	315	23	of	of	ADP
ajst-21764	315	24	texture	texture	ADJ
ajst-21764	315	25	analysis	analysis	NOUN
ajst-21764	315	26	algorithms	algorithm	NOUN
ajst-21764	315	27	[	[	X
ajst-21764	315	28	c	c	X
ajst-21764	315	29	]	]	PUNCT
ajst-21764	315	30	.	.	PUNCT
ajst-21764	316	1	international	international	ADJ
ajst-21764	316	2	conference	conference	NOUN
ajst-21764	316	3	on	on	ADP
ajst-21764	316	4	pattern	pattern	NOUN
ajst-21764	316	5	recognition	recognition	NOUN
ajst-21764	316	6	.	.	PUNCT
ajst-21764	317	1	2002	2002	NUM
ajst-21764	317	2	,	,	PUNCT
ajst-21764	317	3	1	1	NUM
ajst-21764	317	4	:	:	PUNCT
ajst-21764	317	5	701	701	NUM
ajst-21764	317	6	-	-	SYM
ajst-21764	317	7	706	706	NUM
ajst-21764	317	8	.	.	PUNCT
ajst-21764	318	1	[	[	X
ajst-21764	318	2	25	25	NUM
ajst-21764	318	3	]	]	PUNCT
ajst-21764	318	4	xu	xu	PROPN
ajst-21764	318	5	y	y	PROPN
ajst-21764	318	6	,	,	PUNCT
ajst-21764	318	7	yang	yang	PROPN
ajst-21764	318	8	x	x	PROPN
ajst-21764	318	9	,	,	PUNCT
ajst-21764	318	10	ling	ling	PROPN
ajst-21764	318	11	h	h	NOUN
ajst-21764	318	12	,	,	PUNCT
ajst-21764	318	13	et	et	PROPN
ajst-21764	318	14	al	al	PROPN
ajst-21764	318	15	.	.	PUNCT
ajst-21764	319	1	a	a	DET
ajst-21764	319	2	new	new	ADJ
ajst-21764	319	3	texture	texture	NOUN
ajst-21764	319	4	descriptor	descriptor	NOUN
ajst-21764	319	5	using	use	VERB
ajst-21764	319	6	multifractal	multifractal	ADJ
ajst-21764	319	7	analysis	analysis	NOUN
ajst-21764	319	8	in	in	ADP
ajst-21764	319	9	multi	multi	ADJ
ajst-21764	319	10	-	-	ADJ
ajst-21764	319	11	orientation	orientation	ADJ
ajst-21764	319	12	wavelet	wavelet	NOUN
ajst-21764	319	13	pyramid	pyramid	NOUN
ajst-21764	320	1	[	[	X
ajst-21764	320	2	c	c	X
ajst-21764	320	3	]	]	PUNCT
ajst-21764	320	4	.	.	PUNCT
ajst-21764	321	1	ieee	ieee	PROPN
ajst-21764	321	2	conference	conference	PROPN
ajst-21764	321	3	on	on	ADP
ajst-21764	321	4	computer	computer	NOUN
ajst-21764	321	5	vision	vision	NOUN
ajst-21764	321	6	and	and	CCONJ
ajst-21764	321	7	pattern	pattern	NOUN
ajst-21764	321	8	recognition	recognition	NOUN
ajst-21764	321	9	.	.	PUNCT
ajst-21764	322	1	2010	2010	NUM
ajst-21764	322	2	:	:	PUNCT
ajst-21764	323	1	161	161	NUM
ajst-21764	323	2	-	-	SYM
ajst-21764	323	3	168	168	NUM
ajst-21764	323	4	.	.	PUNCT
ajst-21764	324	1	[	[	X
ajst-21764	324	2	26	26	NUM
ajst-21764	324	3	]	]	X
ajst-21764	324	4	brodatz	brodatz	PROPN
ajst-21764	324	5	p.	p.	PROPN
ajst-21764	324	6	textures	texture	NOUN
ajst-21764	324	7	:	:	PUNCT
ajst-21764	324	8	a	a	DET
ajst-21764	324	9	photographic	photographic	ADJ
ajst-21764	324	10	album	album	NOUN
ajst-21764	324	11	for	for	ADP
ajst-21764	324	12	artists	artist	NOUN
ajst-21764	324	13	and	and	CCONJ
ajst-21764	324	14	designers	designer	NOUN
ajst-21764	324	15	[	[	X
ajst-21764	324	16	m	m	X
ajst-21764	324	17	]	]	X
ajst-21764	324	18	.	.	PUNCT
ajst-21764	325	1	dover	dover	PROPN
ajst-21764	325	2	publications	publication	NOUN
ajst-21764	325	3	,	,	PUNCT
ajst-21764	325	4	1966	1966	NUM
ajst-21764	325	5	.	.	PUNCT
ajst-21764	326	1	[	[	X
ajst-21764	326	2	27	27	NUM
ajst-21764	326	3	]	]	PUNCT
ajst-21764	326	4	dana	dana	PROPN
ajst-21764	326	5	k	k	PROPN
ajst-21764	326	6	j	j	PROPN
ajst-21764	326	7	,	,	PUNCT
ajst-21764	326	8	van	van	PROPN
ajst-21764	326	9	ginneken	ginneken	PROPN
ajst-21764	326	10	b	b	PROPN
ajst-21764	326	11	,	,	PUNCT
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ajst-21764	326	13	s	s	PART
ajst-21764	326	14	k	k	PROPN
ajst-21764	326	15	,	,	PUNCT
ajst-21764	326	16	et	et	PROPN
ajst-21764	326	17	al	al	PROPN
ajst-21764	326	18	.	.	PROPN
ajst-21764	326	19	reflectance	reflectance	NOUN
ajst-21764	326	20	and	and	CCONJ
ajst-21764	326	21	texture	texture	NOUN
ajst-21764	326	22	of	of	ADP
ajst-21764	326	23	real	real	ADJ
ajst-21764	326	24	-	-	PUNCT
ajst-21764	326	25	world	world	NOUN
ajst-21764	326	26	surfaces	surface	NOUN
ajst-21764	326	27	[	[	X
ajst-21764	326	28	j	j	X
ajst-21764	326	29	]	]	X
ajst-21764	326	30	.	.	PUNCT
ajst-21764	326	31	acm	acm	PROPN
ajst-21764	326	32	transactions	transaction	NOUN
ajst-21764	326	33	on	on	ADP
ajst-21764	326	34	graphics	graphic	NOUN
ajst-21764	326	35	,	,	PUNCT
ajst-21764	326	36	1999	1999	NUM
ajst-21764	326	37	,	,	PUNCT
ajst-21764	326	38	18(1	18(1	NUM
ajst-21764	326	39	):	):	PUNCT
ajst-21764	326	40	1	1	NUM
ajst-21764	326	41	-	-	SYM
ajst-21764	326	42	34	34	NUM
ajst-21764	326	43	.	.	PUNCT
ajst-21764	327	1	[	[	X
ajst-21764	327	2	28	28	NUM
ajst-21764	327	3	]	]	X
ajst-21764	327	4	kylberg	kylberg	PROPN
ajst-21764	327	5	g.	g.	PROPN
ajst-21764	327	6	kylberg	kylberg	PROPN
ajst-21764	327	7	texture	texture	PROPN
ajst-21764	327	8	dataset	dataset	VERB
ajst-21764	327	9	v.	v.	ADP
ajst-21764	327	10	1.0	1.0	NUM
ajst-21764	327	11	[	[	X
ajst-21764	327	12	m	m	X
ajst-21764	327	13	]	]	X
ajst-21764	327	14	.	.	PUNCT
ajst-21764	328	1	centre	centre	NOUN
ajst-21764	328	2	for	for	ADP
ajst-21764	328	3	image	image	NOUN
ajst-21764	328	4	analysis	analysis	NOUN
ajst-21764	328	5	,	,	PUNCT
ajst-21764	328	6	2011	2011	NUM
ajst-21764	328	7	.	.	PUNCT
ajst-21764	329	1	[	[	X
ajst-21764	329	2	29	29	NUM
ajst-21764	329	3	]	]	X
ajst-21764	329	4	zhao	zhao	PROPN
ajst-21764	329	5	y	y	PROPN
ajst-21764	329	6	,	,	PUNCT
ajst-21764	329	7	huang	huang	PROPN
ajst-21764	329	8	d	d	PROPN
ajst-21764	329	9	s	s	PROPN
ajst-21764	329	10	,	,	PUNCT
ajst-21764	329	11	jia	jia	PROPN
ajst-21764	329	12	w.	w.	PROPN
ajst-21764	329	13	completed	complete	VERB
ajst-21764	329	14	local	local	ADJ
ajst-21764	329	15	binary	binary	ADJ
ajst-21764	329	16	count	count	NOUN
ajst-21764	329	17	for	for	ADP
ajst-21764	329	18	rotation	rotation	NOUN
ajst-21764	329	19	invariant	invariant	ADJ
ajst-21764	329	20	texture	texture	NOUN
ajst-21764	329	21	classification	classification	NOUN
ajst-21764	330	1	[	[	X
ajst-21764	330	2	j	j	X
ajst-21764	330	3	]	]	X
ajst-21764	330	4	.	.	PUNCT
ajst-21764	331	1	ieee	ieee	NOUN
ajst-21764	331	2	transactions	transaction	NOUN
ajst-21764	331	3	on	on	ADP
ajst-21764	331	4	image	image	NOUN
ajst-21764	331	5	processing	processing	NOUN
ajst-21764	331	6	,	,	PUNCT
ajst-21764	331	7	2012	2012	NUM
ajst-21764	331	8	,	,	PUNCT
ajst-21764	331	9	21(10	21(10	NUM
ajst-21764	331	10	):	):	PUNCT
ajst-21764	331	11	4492	4492	NUM
ajst-21764	331	12	-	-	SYM
ajst-21764	331	13	4497	4497	NUM
ajst-21764	331	14	.	.	PUNCT
ajst-21764	332	1	[	[	X
ajst-21764	332	2	30	30	NUM
ajst-21764	332	3	]	]	X
ajst-21764	332	4	sima	sima	PROPN
ajst-21764	332	5	j	j	PROPN
ajst-21764	332	6	,	,	PUNCT
ajst-21764	332	7	dong	dong	PROPN
ajst-21764	332	8	y	y	PROPN
ajst-21764	332	9	,	,	PUNCT
ajst-21764	332	10	wang	wang	PROPN
ajst-21764	332	11	t	t	PROPN
ajst-21764	332	12	,	,	PUNCT
ajst-21764	332	13	et	et	PROPN
ajst-21764	332	14	al	al	PROPN
ajst-21764	332	15	.	.	PROPN
ajst-21764	332	16	extended	extend	VERB
ajst-21764	332	17	contrast	contrast	NOUN
ajst-21764	332	18	local	local	ADJ
ajst-21764	332	19	binary	binary	ADJ
ajst-21764	332	20	pattern	pattern	NOUN
ajst-21764	332	21	for	for	ADP
ajst-21764	332	22	texture	texture	ADJ
ajst-21764	332	23	classification	classification	NOUN
ajst-21764	333	1	[	[	X
ajst-21764	333	2	j	j	X
ajst-21764	333	3	]	]	X
ajst-21764	333	4	.	.	PUNCT
ajst-21764	334	1	international	international	ADJ
ajst-21764	334	2	journal	journal	PROPN
ajst-21764	334	3	of	of	ADP
ajst-21764	334	4	new	new	ADJ
ajst-21764	334	5	technology	technology	NOUN
ajst-21764	334	6	and	and	CCONJ
ajst-21764	334	7	research	research	NOUN
ajst-21764	334	8	,	,	PUNCT
ajst-21764	334	9	2018	2018	NUM
ajst-21764	334	10	,	,	PUNCT
ajst-21764	334	11	4(3	4(3	NUM
ajst-21764	334	12	):	):	PUNCT
ajst-21764	334	13	263120	263120	NUM
ajst-21764	334	14	.	.	PUNCT
ajst-21764	335	1	[	[	X
ajst-21764	335	2	31	31	NUM
ajst-21764	335	3	]	]	PUNCT
ajst-21764	335	4	dong	dong	PROPN
ajst-21764	335	5	y	y	PROPN
ajst-21764	335	6	,	,	PUNCT
ajst-21764	335	7	feng	feng	PROPN
ajst-21764	335	8	j	j	PROPN
ajst-21764	335	9	,	,	PUNCT
ajst-21764	335	10	yang	yang	PROPN
ajst-21764	335	11	c	c	PROPN
ajst-21764	335	12	,	,	PUNCT
ajst-21764	335	13	et	et	PROPN
ajst-21764	335	14	al	al	PROPN
ajst-21764	335	15	.	.	PUNCT
ajst-21764	336	1	multi	multi	ADJ
ajst-21764	336	2	-	-	ADJ
ajst-21764	336	3	scale	scale	ADJ
ajst-21764	336	4	counting	counting	NOUN
ajst-21764	336	5	and	and	CCONJ
ajst-21764	336	6	difference	difference	NOUN
ajst-21764	336	7	representation	representation	NOUN
ajst-21764	336	8	for	for	ADP
ajst-21764	336	9	texture	texture	ADJ
ajst-21764	336	10	classification	classification	NOUN
ajst-21764	337	1	[	[	X
ajst-21764	337	2	j	j	X
ajst-21764	337	3	]	]	X
ajst-21764	337	4	.	.	PUNCT
ajst-21764	338	1	the	the	DET
ajst-21764	338	2	visual	visual	ADJ
ajst-21764	338	3	computer	computer	NOUN
ajst-21764	338	4	,	,	PUNCT
ajst-21764	338	5	2018	2018	NUM
ajst-21764	338	6	,	,	PUNCT
ajst-21764	338	7	34	34	NUM
ajst-21764	338	8	:	:	SYM
ajst-21764	338	9	1315	1315	NUM
ajst-21764	338	10	-	-	SYM
ajst-21764	338	11	1324	1324	NUM
ajst-21764	338	12	.	.	PUNCT
ajst-21764	339	1	[	[	X
ajst-21764	339	2	32	32	NUM
ajst-21764	339	3	]	]	PUNCT
ajst-21764	339	4	wang	wang	PROPN
ajst-21764	339	5	t	t	PROPN
ajst-21764	339	6	,	,	PUNCT
ajst-21764	339	7	dong	dong	PROPN
ajst-21764	339	8	y	y	PROPN
ajst-21764	339	9	,	,	PUNCT
ajst-21764	339	10	yang	yang	PROPN
ajst-21764	339	11	c	c	PROPN
ajst-21764	339	12	,	,	PUNCT
ajst-21764	339	13	et	et	PROPN
ajst-21764	339	14	al	al	PROPN
ajst-21764	339	15	.	.	PROPN
ajst-21764	339	16	jumping	jump	VERB
ajst-21764	339	17	and	and	CCONJ
ajst-21764	339	18	refined	refined	ADJ
ajst-21764	339	19	local	local	ADJ
ajst-21764	339	20	pattern	pattern	NOUN
ajst-21764	339	21	for	for	ADP
ajst-21764	339	22	texture	texture	ADJ
ajst-21764	339	23	classification	classification	NOUN
ajst-21764	340	1	[	[	X
ajst-21764	340	2	j	j	X
ajst-21764	340	3	]	]	X
ajst-21764	340	4	.	.	PUNCT
ajst-21764	341	1	ieee	ieee	NOUN
ajst-21764	341	2	access	access	NOUN
ajst-21764	341	3	,	,	PUNCT
ajst-21764	341	4	2018	2018	NUM
ajst-21764	341	5	,	,	PUNCT
ajst-21764	341	6	6	6	NUM
ajst-21764	341	7	:	:	SYM
ajst-21764	341	8	64416	64416	NUM
ajst-21764	341	9	-	-	SYM
ajst-21764	341	10	64426	64426	NUM
ajst-21764	341	11	.	.	PUNCT
ajst-21764	342	1	[	[	X
ajst-21764	342	2	33	33	NUM
ajst-21764	342	3	]	]	X
ajst-21764	342	4	dong	dong	PROPN
ajst-21764	342	5	y	y	PROPN
ajst-21764	342	6	,	,	PUNCT
ajst-21764	342	7	zheng	zheng	PROPN
ajst-21764	342	8	b	b	PROPN
ajst-21764	342	9	,	,	PUNCT
ajst-21764	342	10	liu	liu	PROPN
ajst-21764	342	11	h	h	PROPN
ajst-21764	342	12	,	,	PUNCT
ajst-21764	342	13	et	et	PROPN
ajst-21764	342	14	al	al	PROPN
ajst-21764	342	15	.	.	PUNCT
ajst-21764	342	16	symmetric	symmetric	ADJ
ajst-21764	342	17	mean	mean	ADJ
ajst-21764	342	18	and	and	CCONJ
ajst-21764	342	19	directional	directional	ADJ
ajst-21764	342	20	contour	contour	NOUN
ajst-21764	342	21	pattern	pattern	NOUN
ajst-21764	342	22	for	for	ADP
ajst-21764	342	23	texture	texture	ADJ
ajst-21764	342	24	classification	classification	NOUN
ajst-21764	342	25	[	[	X
ajst-21764	342	26	j	j	X
ajst-21764	342	27	]	]	X
ajst-21764	342	28	.	.	PUNCT
ajst-21764	343	1	electronics	electronic	NOUN
ajst-21764	343	2	letters	letter	NOUN
ajst-21764	343	3	,	,	PUNCT
ajst-21764	343	4	2021	2021	NUM
ajst-21764	343	5	,	,	PUNCT
ajst-21764	343	6	57(24	57(24	NUM
ajst-21764	343	7	):	):	PUNCT
ajst-21764	343	8	918	918	NUM
ajst-21764	343	9	-	-	SYM
ajst-21764	343	10	920	920	NUM
ajst-21764	343	11	.	.	PUNCT
ajst-21764	344	1	[	[	X
ajst-21764	344	2	34	34	NUM
ajst-21764	344	3	]	]	PUNCT
ajst-21764	344	4	song	song	PROPN
ajst-21764	344	5	t	t	PROPN
ajst-21764	344	6	,	,	PUNCT
ajst-21764	344	7	li	li	PROPN
ajst-21764	344	8	h	h	PROPN
ajst-21764	344	9	,	,	PUNCT
ajst-21764	344	10	meng	meng	PROPN
ajst-21764	344	11	f	f	PROPN
ajst-21764	344	12	,	,	PUNCT
ajst-21764	344	13	et	et	PROPN
ajst-21764	344	14	al	al	PROPN
ajst-21764	344	15	.	.	PROPN
ajst-21764	344	16	letrist	letrist	PROPN
ajst-21764	344	17	:	:	PUNCT
ajst-21764	344	18	locally	locally	ADV
ajst-21764	344	19	encoded	encode	VERB
ajst-21764	344	20	transform	transform	NOUN
ajst-21764	344	21	feature	feature	NOUN
ajst-21764	344	22	histogram	histogram	NOUN
ajst-21764	344	23	for	for	ADP
ajst-21764	344	24	rotation	rotation	NOUN
ajst-21764	344	25	-	-	PUNCT
ajst-21764	344	26	invariant	invariant	ADJ
ajst-21764	344	27	texture	texture	NOUN
ajst-21764	344	28	classification	classification	NOUN
ajst-21764	345	1	[	[	X
ajst-21764	345	2	j	j	X
ajst-21764	345	3	]	]	X
ajst-21764	345	4	.	.	PUNCT
ajst-21764	346	1	ieee	ieee	NOUN
ajst-21764	346	2	transactions	transaction	NOUN
ajst-21764	346	3	on	on	ADP
ajst-21764	346	4	circuits	circuit	NOUN
ajst-21764	346	5	and	and	CCONJ
ajst-21764	346	6	systems	system	NOUN
ajst-21764	346	7	for	for	ADP
ajst-21764	346	8	video	video	NOUN
ajst-21764	346	9	technology	technology	NOUN
ajst-21764	346	10	,	,	PUNCT
ajst-21764	346	11	2017	2017	NUM
ajst-21764	346	12	,	,	PUNCT
ajst-21764	346	13	28(7	28(7	NUM
ajst-21764	346	14	):	):	PUNCT
ajst-21764	346	15	1565	1565	NUM
ajst-21764	346	16	-	-	SYM
ajst-21764	346	17	1579	1579	NUM
ajst-21764	346	18	.	.	PUNCT
ajst-21764	347	1	[	[	X
ajst-21764	347	2	35	35	NUM
ajst-21764	347	3	]	]	X
ajst-21764	347	4	guo	guo	X
ajst-21764	347	5	zh	zh	PROPN
ajst-21764	347	6	,	,	PUNCT
ajst-21764	347	7	wang	wang	PROPN
ajst-21764	347	8	x	x	PROPN
ajst-21764	347	9	,	,	PUNCT
ajst-21764	347	10	zhou	zhou	PROPN
ajst-21764	347	11	j	j	PROPN
ajst-21764	347	12	,	,	PUNCT
ajst-21764	347	13	et	et	PROPN
ajst-21764	347	14	al	al	PROPN
ajst-21764	347	15	.	.	PUNCT
ajst-21764	347	16	robust	robust	ADJ
ajst-21764	347	17	texture	texture	ADJ
ajst-21764	347	18	image	image	NOUN
ajst-21764	347	19	representation	representation	NOUN
ajst-21764	347	20	by	by	ADP
ajst-21764	347	21	scale	scale	NOUN
ajst-21764	347	22	selective	selective	ADJ
ajst-21764	347	23	local	local	ADJ
ajst-21764	347	24	binary	binary	ADJ
ajst-21764	347	25	patterns	pattern	NOUN
ajst-21764	348	1	[	[	X
ajst-21764	348	2	j	j	X
ajst-21764	348	3	]	]	X
ajst-21764	348	4	.	.	PUNCT
ajst-21764	349	1	ieee	ieee	NOUN
ajst-21764	349	2	transactions	transaction	NOUN
ajst-21764	349	3	on	on	ADP
ajst-21764	349	4	image	image	NOUN
ajst-21764	349	5	processing	processing	NOUN
ajst-21764	349	6	,	,	PUNCT
ajst-21764	349	7	2016	2016	NUM
ajst-21764	349	8	,	,	PUNCT
ajst-21764	349	9	2(25	2(25	NUM
ajst-21764	349	10	):	):	PUNCT
ajst-21764	349	11	687	687	NUM
ajst-21764	349	12	-	-	SYM
ajst-21764	349	13	699	699	NUM
ajst-21764	349	14	.	.	PUNCT