id	sid	tid	token	lemma	pos
ap-392	1	1	acta	acta	PROPN
ap-392	1	2	polytechnica	polytechnica	PROPN
ap-392	1	3	vol	vol	NOUN
ap-392	1	4	.	.	PUNCT
ap-392	2	1	43	43	NUM
ap-392	2	2	no	no	NOUN
ap-392	2	3	.	.	NOUN
ap-392	2	4	112003	112003	NUM
ap-392	2	5	an	an	DET
ap-392	2	6	algorithm	algorithm	NOUN
ap-392	2	7	for	for	ADP
ap-392	2	8	investigating	investigate	VERB
ap-392	2	9	the	the	DET
ap-392	2	10	structure	structure	NOUN
ap-392	2	11	of	of	ADP
ap-392	2	12	material	material	NOUN
ap-392	2	13	surfaces	surface	NOUN
ap-392	2	14	m.	m.	NOUN
ap-392	2	15	toman	toman	PROPN
ap-392	2	16	,	,	PUNCT
ap-392	2	17	p.	p.	NOUN
ap-392	2	18	proch6zka	proch6zka	NOUN
ap-392	3	1	the	the	DET
ap-392	3	2	aim	aim	NOUN
ap-392	3	3	'	'	PUNCT
ap-392	3	4	of	of	ADP
ap-392	3	5	this	this	DET
ap-392	3	6	paper	paper	NOUN
ap-392	3	7	is	be	AUX
ap-392	3	8	to	to	PART
ap-392	3	9	surnmnrize	surnmnrize	VERB
ap-392	3	10	the	the	DET
ap-392	3	11	algorithm	algorithm	NOUN
ap-392	3	12	and	and	CCONJ
ap-392	3	13	the	the	DET
ap-392	3	14	experience	experience	NOUN
ap-392	3	15	that	that	PRON
ap-392	3	16	haue	haue	NOUN
ap-392	3	17	been	be	AUX
ap-392	3	18	ach'ieued	ach'ieue	VERB
ap-392	3	19	in	in	ADP
ap-392	3	20	the	the	DET
ap-392	3	21	inuestigation	inuestigation	NOUN
ap-392	3	22	of	of	ADP
ap-392	3	23	grain	grain	NOUN
ap-392	3	24	structure	structure	NOUN
ap-392	3	25	of	of	ADP
ap-392	3	26	surfaces	surface	NOUN
ap-392	3	27	of	of	ADP
ap-392	3	28	certain	certain	ADJ
ap-392	3	29	materiak	materiak	NOUN
ap-392	3	30	,	,	PUNCT
ap-392	3	31	particularly	particularly	ADV
ap-392	3	32	from	from	ADP
ap-392	3	33	sarnples	sarnple	NOUN
ap-392	3	34	of	of	ADP
ap-392	3	35	gold	gold	NOUN
ap-392	3	36	,	,	PUNCT
ap-392	3	37	.	.	PUNCT
ap-392	4	1	the	the	DET
ap-392	4	2	main	main	ADJ
ap-392	4	3	parts	part	NOUN
ap-392	4	4	of	of	ADP
ap-392	4	5	the	the	DET
ap-392	4	6	algori	algori	NOUN
ap-392	4	7	,	,	PUNCT
ap-392	4	8	thm	thm	PROPN
ap-392	4	9	to	to	PART
ap-392	4	10	be	be	AUX
ap-392	4	11	discussed	discuss	VERB
ap-392	4	12	are	be	AUX
ap-392	4	13	:	:	PUNCT
ap-392	4	14	1	1	X
ap-392	4	15	.	.	PUNCT
ap-392	5	1	a	a	X
ap-392	5	2	,	,	PUNCT
ap-392	5	3	cquisition	cquisition	NOUN
ap-392	5	4	of	of	ADP
ap-392	5	5	input	input	NOUN
ap-392	5	6	data	datum	NOUN
ap-392	5	7	,	,	PUNCT
ap-392	5	8	2	2	X
ap-392	5	9	.	.	X
ap-392	5	10	localization	localization	NOUN
ap-392	5	11	ofgrain	ofgrain	NOUN
ap-392	5	12	region	region	NOUN
ap-392	5	13	,	,	PUNCT
ap-392	5	14	3	3	X
ap-392	5	15	.	.	X
ap-392	5	16	represmtation	represmtation	NOUN
ap-392	5	17	of	of	ADP
ap-392	5	18	grain	grain	NOUN
ap-392	5	19	size	size	NOUN
ap-392	5	20	,	,	PUNCT
ap-392	5	21	4	4	NUM
ap-392	5	22	.	.	PUNCT
ap-392	5	23	represmtationofoutputs(postprocessing	represmtationofoutputs(postprocesse	VERB
ap-392	5	24	)	)	PUNCT
ap-392	5	25	.	.	PUNCT
ap-392	6	1	kqwords	kqword	NOUN
ap-392	6	2	:	:	PUNCT
ap-392	6	3	inuestigation	inuestigation	NOUN
ap-392	6	4	of	of	ADP
ap-392	6	5	structure	structure	NOUN
ap-392	6	6	of	of	ADP
ap-392	6	7	material	material	NOUN
ap-392	6	8	surfaces	surface	NOUN
ap-392	6	9	,	,	PUNCT
ap-392	6	10	transforrnation	transforrnation	NOUN
ap-392	6	11	of	of	ADP
ap-392	6	12	images	image	NOUN
ap-392	6	13	,	,	PUNCT
ap-392	6	14	gaussian	gaussian	ADJ
ap-392	6	15	low	low	ADJ
ap-392	6	16	-	-	PUNCT
ap-392	6	17	frequency	frequency	NOUN
ap-392	6	18	filter	filter	NOUN
ap-392	6	19	,	,	PUNCT
ap-392	6	20	local	local	ADJ
ap-392	6	21	equalization	equalization	NOUN
ap-392	6	22	,	,	PUNCT
ap-392	6	23	probabilitl	probabilitl	X
ap-392	6	24	d'istribution	d'istribution	NOUN
ap-392	6	25	of	of	ADP
ap-392	6	26	grain	grain	NOUN
ap-392	6	27	size	size	NOUN
ap-392	6	28	.	.	PUNCT
ap-392	7	1	i	i	PRON
ap-392	7	2	introduction	introduction	NOUN
ap-392	7	3	data	datum	NOUN
ap-392	7	4	describing	describe	VERB
ap-392	7	5	the	the	DET
ap-392	7	6	grain	grain	NOUN
ap-392	7	7	structure	structure	NOUN
ap-392	7	8	and	and	CCONJ
ap-392	7	9	shape	shape	NOUN
ap-392	7	10	of	of	ADP
ap-392	7	11	a	a	DET
ap-392	7	12	surface	surface	NOUN
ap-392	7	13	of	of	ADP
ap-392	7	14	a	a	DET
ap-392	7	15	material	material	NOUN
ap-392	7	16	sample	sample	NOUN
ap-392	7	17	are	be	AUX
ap-392	7	18	obtained	obtain	VERB
ap-392	7	19	using	use	VERB
ap-392	7	20	stm	stm	PROPN
ap-392	7	21	(	(	PUNCT
ap-392	7	22	a	a	DET
ap-392	7	23	type	type	NOUN
ap-392	7	24	of	of	ADP
ap-392	7	25	microscope	microscope	NOUN
ap-392	7	26	)	)	PUNCT
ap-392	7	27	,	,	PUNCT
ap-392	7	28	see	see	VERB
ap-392	7	29	section	section	NOUN
ap-392	7	30	3	3	NUM
ap-392	7	31	.	.	X
ap-392	7	32	stm	stm	PROPN
ap-392	7	33	has	have	AUX
ap-392	7	34	been	be	AUX
ap-392	7	35	selected	select	VERB
ap-392	7	36	on	on	ADP
ap-392	7	37	basis	basis	NOUN
ap-392	7	38	of	of	ADP
ap-392	7	39	experience	experience	NOUN
ap-392	7	40	gathered	gather	VERB
ap-392	7	41	from	from	ADP
ap-392	7	42	many	many	ADJ
ap-392	7	43	publications	publication	NOUN
ap-392	7	44	on	on	ADP
ap-392	7	45	this	this	DET
ap-392	7	46	topic	topic	NOUN
ap-392	7	47	.	.	PUNCT
ap-392	8	1	for	for	ADP
ap-392	8	2	example	example	NOUN
ap-392	8	3	,	,	PUNCT
ap-392	8	4	in	in	ADP
ap-392	8	5	scanning	scanning	NOUN
ap-392	8	6	of	of	ADP
ap-392	8	7	gold	gold	NOUN
ap-392	8	8	islands	island	NOUN
ap-392	8	9	grown	grow	VERB
ap-392	8	10	on	on	ADP
ap-392	8	11	mos2	mos2	PROPN
ap-392	8	12	surfaces	surface	NOUN
ap-392	8	13	stm	stm	PROPN
ap-392	8	14	proved	prove	VERB
ap-392	8	15	that	that	SCONJ
ap-392	8	16	this	this	DET
ap-392	8	17	approach	approach	NOUN
ap-392	8	18	is	be	AUX
ap-392	8	19	powerful	powerful	ADJ
ap-392	8	20	,	,	PUNCT
ap-392	8	21	[	[	X
ap-392	8	22	7	7	NUM
ap-392	8	23	]	]	PUNCT
ap-392	8	24	,	,	PUNCT
ap-392	8	25	[	[	X
ap-392	8	26	9	9	NUM
ap-392	8	27	-	-	SYM
ap-392	8	28	10	10	NUM
ap-392	8	29	]	]	PUNCT
ap-392	8	30	.	.	PUNCT
ap-392	9	1	the	the	DET
ap-392	9	2	input	input	NOUN
ap-392	9	3	data	datum	NOUN
ap-392	9	4	for	for	ADP
ap-392	9	5	this	this	DET
ap-392	9	6	algorithm	algorithm	NOUN
ap-392	9	7	are	be	AUX
ap-392	9	8	taken	take	VERB
ap-392	9	9	from	from	ADP
ap-392	9	10	stm	stm	PROPN
ap-392	9	11	in	in	ADP
ap-392	9	12	the	the	DET
ap-392	9	13	form	form	NOUN
ap-392	9	14	of	of	ADP
ap-392	9	15	a	a	DET
ap-392	9	16	gray	gray	ADJ
ap-392	9	17	-	-	PUNCT
ap-392	9	18	scale	scale	NOUN
ap-392	9	19	image	image	NOUN
ap-392	9	20	.	.	PUNCT
ap-392	10	1	the	the	DET
ap-392	10	2	aims	aim	NOUN
ap-392	10	3	of	of	ADP
ap-392	10	4	the	the	DET
ap-392	10	5	algorithm	algorithm	NOUN
ap-392	10	6	are	be	AUX
ap-392	10	7	:	:	PUNCT
ap-392	10	8	o	o	X
ap-392	10	9	to	to	PART
ap-392	10	10	localize	localize	VERB
ap-392	10	11	boundaries	boundary	NOUN
ap-392	10	12	between	between	ADP
ap-392	10	13	adjacent	adjacent	ADJ
ap-392	10	14	grains	grain	NOUN
ap-392	10	15	and	and	CCONJ
ap-392	10	16	to	to	PART
ap-392	10	17	localize	localize	VERB
ap-392	10	18	grain	grain	NOUN
ap-392	10	19	regions	region	NOUN
ap-392	10	20	(	(	PUNCT
ap-392	10	21	for	for	ADP
ap-392	10	22	one	one	NUM
ap-392	10	23	grain	grain	NOUN
ap-392	10	24	there	there	PRON
ap-392	10	25	is	be	VERB
ap-392	10	26	one	one	NUM
ap-392	10	27	and	and	CCONJ
ap-392	10	28	only	only	ADV
ap-392	10	29	one	one	NUM
ap-392	10	30	region	region	NOUN
ap-392	10	31	)	)	PUNCT
ap-392	10	32	,	,	PUNCT
ap-392	10	33	o	o	X
ap-392	10	34	to	to	PART
ap-392	10	35	depict	depict	VERB
ap-392	10	36	a	a	DET
ap-392	10	37	graph	graph	NOUN
ap-392	10	38	of	of	ADP
ap-392	10	39	the	the	DET
ap-392	10	40	found	find	VERB
ap-392	10	41	probability	probability	NOUN
ap-392	10	42	distribution	distribution	NOUN
ap-392	10	43	of	of	ADP
ap-392	10	44	grain	grain	NOUN
ap-392	10	45	size	size	NOUN
ap-392	10	46	.	.	PUNCT
ap-392	11	1	the	the	DET
ap-392	11	2	localization	localization	NOUN
ap-392	11	3	of	of	ADP
ap-392	11	4	grain	grain	NOUN
ap-392	11	5	boundaries	boundary	NOUN
ap-392	11	6	may	may	AUX
ap-392	11	7	be	be	AUX
ap-392	11	8	applied	apply	VERB
ap-392	11	9	to	to	ADP
ap-392	11	10	an	an	DET
ap-392	11	11	investigation	investigation	NOUN
ap-392	11	12	of	of	ADP
ap-392	11	13	any	any	DET
ap-392	11	14	materials	material	NOUN
ap-392	11	15	with	with	ADP
ap-392	11	16	a	a	DET
ap-392	11	17	surface	surface	NOUN
ap-392	11	18	stnrcture	stnrcture	NOUN
ap-392	11	19	similar	similar	ADJ
ap-392	11	20	to	to	ADP
ap-392	11	21	a	a	DET
ap-392	11	22	grain	grain	NOUN
ap-392	11	23	structure	structure	NOUN
ap-392	11	24	.	.	PUNCT
ap-392	12	1	the	the	DET
ap-392	12	2	studied	study	VERB
ap-392	12	3	materials	material	NOUN
ap-392	12	4	have	have	VERB
ap-392	12	5	to	to	PART
ap-392	12	6	fulfill	fulfill	VERB
ap-392	12	7	basically	basically	ADV
ap-392	12	8	the	the	DET
ap-392	12	9	condition	condition	NOUN
ap-392	12	10	to	to	PART
ap-392	12	11	be	be	AUX
ap-392	12	12	conductive	conductive	ADJ
ap-392	12	13	,	,	PUNCT
ap-392	12	14	as	as	SCONJ
ap-392	12	15	stm	stm	PROPN
ap-392	12	16	is	be	AUX
ap-392	12	17	based	base	VERB
ap-392	12	18	on	on	ADP
ap-392	12	19	the	the	DET
ap-392	12	20	principle	principle	NOUN
ap-392	12	21	of	of	ADP
ap-392	12	22	a	a	DET
ap-392	12	23	tunnel	tunnel	NOUN
ap-392	12	24	current	current	NOUN
ap-392	12	25	between	between	ADP
ap-392	12	26	the	the	DET
ap-392	12	27	microscope	microscope	NOUN
ap-392	12	28	and	and	CCONJ
ap-392	12	29	the	the	DET
ap-392	12	30	sample	sample	NOUN
ap-392	12	31	.	.	PUNCT
ap-392	13	1	for	for	ADP
ap-392	13	2	the	the	DET
ap-392	13	3	localization	localization	NOUN
ap-392	13	4	,	,	PUNCT
ap-392	13	5	segmentation	segmentation	NOUN
ap-392	13	6	techniques	technique	NOUN
ap-392	13	7	are	be	AUX
ap-392	13	8	used	use	VERB
ap-392	13	9	in	in	ADP
ap-392	13	10	a	a	DET
ap-392	13	11	wide	wide	ADJ
ap-392	13	12	range	range	NOUN
ap-392	13	13	of	of	ADP
ap-392	13	14	classical	classical	ADJ
ap-392	13	15	image	image	NOUN
ap-392	13	16	analysis	analysis	NOUN
ap-392	13	17	problems	problem	NOUN
ap-392	13	18	.	.	PUNCT
ap-392	14	1	for	for	ADP
ap-392	14	2	example	example	NOUN
ap-392	14	3	,	,	PUNCT
ap-392	14	4	the	the	DET
ap-392	14	5	task	task	NOUN
ap-392	14	6	of	of	ADP
ap-392	14	7	segmenting	segment	VERB
ap-392	14	8	cell	cell	NOUN
ap-392	14	9	nuclei	nucleus	NOUN
ap-392	14	10	llom	llom	VERB
ap-392	14	11	cytoplasm	cytoplasm	NOUN
ap-392	14	12	is	be	AUX
ap-392	14	13	a	a	DET
ap-392	14	14	classical	classical	ADJ
ap-392	14	15	image	image	NOUN
ap-392	14	16	analysis	analysis	NOUN
ap-392	14	17	problem	problem	NOUN
ap-392	14	18	,	,	PUNCT
ap-392	14	19	which	which	PRON
ap-392	14	20	may	may	AUX
ap-392	14	21	prove	prove	VERB
ap-392	14	22	to	to	PART
ap-392	14	23	be	be	AUX
ap-392	14	24	crucial	crucial	ADJ
ap-392	14	25	to	to	ADP
ap-392	14	26	the	the	DET
ap-392	14	27	development	development	NOUN
ap-392	14	28	of	of	ADP
ap-392	14	29	successful	successful	ADJ
ap-392	14	30	systems	system	NOUN
ap-392	14	31	that	that	PRON
ap-392	14	32	automate	automate	VERB
ap-392	14	33	the	the	DET
ap-392	14	34	analysis	analysis	NOUN
ap-392	14	35	for	for	ADP
ap-392	14	36	detection	detection	NOUN
ap-392	14	37	of	of	ADP
ap-392	14	38	cancer	cancer	NOUN
ap-392	14	39	of	of	ADP
ap-392	14	40	the	the	DET
ap-392	14	41	cervix	cervix	NOUN
ap-392	14	42	,	,	PUNCT
ap-392	14	43	[	[	X
ap-392	14	44	4	4	NUM
ap-392	14	45	-	-	SYM
ap-392	14	46	6	6	NUM
ap-392	14	47	]	]	PUNCT
ap-392	14	48	.	.	PUNCT
ap-392	15	1	as	as	ADV
ap-392	15	2	soon	soon	ADV
ap-392	15	3	as	as	SCONJ
ap-392	15	4	the	the	DET
ap-392	15	5	boundaries	boundary	NOUN
ap-392	15	6	between	between	ADP
ap-392	15	7	grains	grain	NOUN
ap-392	15	8	are	be	AUX
ap-392	15	9	localized	localize	VERB
ap-392	15	10	,	,	PUNCT
ap-392	15	11	they	they	PRON
ap-392	15	12	may	may	AUX
ap-392	15	13	be	be	AUX
ap-392	15	14	used	use	VERB
ap-392	15	15	for	for	ADP
ap-392	15	16	various	various	ADJ
ap-392	15	17	calculations	calculation	NOUN
ap-392	15	18	.	.	PUNCT
ap-392	16	1	within	within	ADP
ap-392	16	2	the	the	DET
ap-392	16	3	scope	scope	NOUN
ap-392	16	4	of	of	ADP
ap-392	16	5	the	the	DET
ap-392	16	6	algorithm	algorithm	NOUN
ap-392	16	7	described	describe	VERB
ap-392	16	8	in	in	ADP
ap-392	16	9	this	this	DET
ap-392	16	10	paper	paper	NOUN
ap-392	16	11	,	,	PUNCT
ap-392	16	12	the	the	DET
ap-392	16	13	data	datum	NOUN
ap-392	16	14	describing	describe	VERB
ap-392	16	15	the	the	DET
ap-392	16	16	boundaries	boundary	NOUN
ap-392	16	17	are	be	AUX
ap-392	16	18	used	use	VERB
ap-392	16	19	for	for	ADP
ap-392	16	20	calculating	calculate	VERB
ap-392	16	21	the	the	DET
ap-392	16	22	probability	probability	NOUN
ap-392	16	23	distribution	distribution	NOUN
ap-392	16	24	of	of	ADP
ap-392	16	25	grain	grain	NOUN
ap-392	16	26	size	size	NOUN
ap-392	16	27	.	.	PUNCT
ap-392	17	1	the	the	DET
ap-392	17	2	gray	gray	ADJ
ap-392	17	3	-	-	PUNCT
ap-392	17	4	scale	scale	NOUN
ap-392	17	5	images	image	NOUN
ap-392	17	6	,	,	PUNCT
ap-392	17	7	providing	provide	VERB
ap-392	17	8	information	information	NOUN
ap-392	17	9	on	on	ADP
ap-392	17	10	the	the	DET
ap-392	17	11	grain	grain	NOUN
ap-392	17	12	structure	structure	NOUN
ap-392	17	13	of	of	ADP
ap-392	17	14	the	the	DET
ap-392	17	15	sample	sample	NOUN
ap-392	17	16	surface	surface	NOUN
ap-392	17	17	,	,	PUNCT
ap-392	17	18	are	be	AUX
ap-392	17	19	often	often	ADV
ap-392	17	20	very	very	ADV
ap-392	17	21	noisy	noisy	ADJ
ap-392	17	22	and	and	CCONJ
ap-392	17	23	have	have	VERB
ap-392	17	24	to	to	PART
ap-392	17	25	be	be	AUX
ap-392	17	26	smoothed	smooth	VERB
ap-392	17	27	(	(	PUNCT
ap-392	17	28	i.e.	i.e.	X
ap-392	17	29	,	,	PUNCT
ap-392	17	30	their	their	PRON
ap-392	17	31	quality	quality	NOUN
ap-392	17	32	should	should	AUX
ap-392	17	33	be	be	AUX
ap-392	17	34	improved	improve	VERB
ap-392	17	35	)	)	PUNCT
ap-392	17	36	with	with	ADP
ap-392	17	37	the	the	DET
ap-392	17	38	use	use	NOUN
ap-392	17	39	of	of	ADP
ap-392	17	40	various	various	ADJ
ap-392	17	41	filters	filter	NOUN
ap-392	17	42	.	.	PUNCT
ap-392	18	1	unfortunately	unfortunately	ADV
ap-392	18	2	,	,	PUNCT
ap-392	18	3	the	the	DET
ap-392	18	4	use	use	NOUN
ap-392	18	5	of	of	ADP
ap-392	18	6	such	such	ADJ
ap-392	18	7	filters	filter	NOUN
ap-392	18	8	leads	lead	VERB
ap-392	18	9	to	to	ADP
ap-392	18	10	the	the	DET
ap-392	18	11	partial	partial	ADJ
ap-392	18	12	loss	loss	NOUN
ap-392	18	13	of	of	ADP
ap-392	18	14	important	important	ADJ
ap-392	18	15	detailed	detailed	ADJ
ap-392	18	16	information	information	NOUN
ap-392	18	17	.	.	PUNCT
ap-392	19	1	this	this	DET
ap-392	19	2	partial	partial	ADJ
ap-392	19	3	loss	loss	NOUN
ap-392	19	4	of	of	ADP
ap-392	19	5	information	information	NOUN
ap-392	19	6	and	and	CCONJ
ap-392	19	7	high	high	ADJ
ap-392	19	8	demands	demand	NOUN
ap-392	19	9	on	on	ADP
ap-392	19	10	calculations	calculation	NOUN
ap-392	19	11	lead	lead	VERB
ap-392	19	12	to	to	ADP
ap-392	19	13	an	an	DET
ap-392	19	14	inaccurate	inaccurate	ADJ
ap-392	19	15	resulting	result	VERB
ap-392	19	16	description	description	NOUN
ap-392	19	17	of	of	ADP
ap-392	19	18	the	the	DET
ap-392	19	19	grain	grain	NOUN
ap-392	19	20	boundaries	boundary	NOUN
ap-392	19	21	.	.	PUNCT
ap-392	20	1	for	for	ADP
ap-392	20	2	this	this	DET
ap-392	20	3	reason	reason	NOUN
ap-392	20	4	,	,	PUNCT
ap-392	20	5	the	the	DET
ap-392	20	6	data	datum	NOUN
ap-392	20	7	representing	represent	VERB
ap-392	20	8	the	the	DET
ap-392	20	9	grain	grain	NOUN
ap-392	20	10	boundaries	boundary	NOUN
ap-392	20	11	are	be	AUX
ap-392	20	12	used	use	VERB
ap-392	20	13	for	for	ADP
ap-392	20	14	calculating	calculate	VERB
ap-392	20	15	the	the	DET
ap-392	20	16	probability	probability	NOUN
ap-392	20	17	distribution	distribution	NOUN
ap-392	20	18	of	of	ADP
ap-392	20	19	the	the	DET
ap-392	20	20	investigated	investigate	VERB
ap-392	20	21	parameters	parameter	NOUN
ap-392	20	22	of	of	ADP
ap-392	20	23	the	the	DET
ap-392	20	24	grain	grain	NOUN
ap-392	20	25	structure	structure	NOUN
ap-392	20	26	.	.	PUNCT
ap-392	21	1	if	if	SCONJ
ap-392	21	2	the	the	DET
ap-392	21	3	quality	quality	NOUN
ap-392	21	4	of	of	ADP
ap-392	21	5	the	the	DET
ap-392	21	6	grey54	grey54	ADJ
ap-392	21	7	-scale	-scale	PROPN
ap-392	21	8	images	image	NOUN
ap-392	21	9	were	be	AUX
ap-392	21	10	improved	improve	VERB
ap-392	21	11	,	,	PUNCT
ap-392	21	12	the	the	DET
ap-392	21	13	results	result	NOUN
ap-392	21	14	of	of	ADP
ap-392	21	15	the	the	DET
ap-392	21	16	algorithm	algorithm	NOUN
ap-392	21	17	described	describe	VERB
ap-392	21	18	in	in	ADP
ap-392	21	19	the	the	DET
ap-392	21	20	following	follow	VERB
ap-392	21	21	text	text	NOUN
ap-392	21	22	would	would	AUX
ap-392	21	23	be	be	AUX
ap-392	21	24	enhanced	enhance	VERB
ap-392	21	25	.	.	PUNCT
ap-392	22	1	the	the	DET
ap-392	22	2	grain	grain	NOUN
ap-392	22	3	size	size	NOUN
ap-392	22	4	is	be	AUX
ap-392	22	5	expressed	express	VERB
ap-392	22	6	by	by	ADP
ap-392	22	7	the	the	DET
ap-392	22	8	grain	grain	NOUN
ap-392	22	9	radius	radius	NOUN
ap-392	22	10	(	(	PUNCT
ap-392	22	11	it	it	PRON
ap-392	22	12	is	be	AUX
ap-392	22	13	assumed	assume	VERB
ap-392	22	14	that	that	SCONJ
ap-392	22	15	grains	grain	NOUN
ap-392	22	16	can	can	AUX
ap-392	22	17	be	be	AUX
ap-392	22	18	approximated	approximate	VERB
ap-392	22	19	by	by	ADP
ap-392	22	20	a	a	DET
ap-392	22	21	sphere	sphere	NOUN
ap-392	22	22	)	)	PUNCT
ap-392	22	23	.	.	PUNCT
ap-392	23	1	the	the	DET
ap-392	23	2	outputs	output	NOUN
ap-392	23	3	ofthe	ofthe	ADJ
ap-392	23	4	algorithm	algorithm	NOUN
ap-392	23	5	are	be	AUX
ap-392	23	6	represented	represent	VERB
ap-392	23	7	by	by	ADP
ap-392	23	8	a	a	DET
ap-392	23	9	graph	graph	NOUN
ap-392	23	10	.	.	PUNCT
ap-392	24	1	the	the	DET
ap-392	24	2	gray	gray	ADJ
ap-392	24	3	-	-	PUNCT
ap-392	24	4	scale	scale	NOUN
ap-392	24	5	images	image	NOUN
ap-392	24	6	suffer	suffer	VERB
ap-392	24	7	fiom	fiom	NOUN
ap-392	24	8	technical	technical	ADJ
ap-392	24	9	deficiencies	deficiency	NOUN
ap-392	24	10	of	of	ADP
ap-392	24	11	the	the	DET
ap-392	24	12	microscope	microscope	NOUN
ap-392	24	13	,	,	PUNCT
ap-392	24	14	but	but	CCONJ
ap-392	24	15	they	they	PRON
ap-392	24	16	are	be	AUX
ap-392	24	17	not	not	PART
ap-392	24	18	relevant	relevant	ADJ
ap-392	24	19	for	for	ADP
ap-392	24	20	the	the	DET
ap-392	24	21	calculations	calculation	NOUN
ap-392	24	22	.	.	PUNCT
ap-392	25	1	the	the	DET
ap-392	25	2	images	image	NOUN
ap-392	25	3	of	of	ADP
ap-392	25	4	the	the	DET
ap-392	25	5	grain	grain	NOUN
ap-392	25	6	structure	structure	NOUN
ap-392	25	7	of	of	ADP
ap-392	25	8	gold	gold	NOUN
ap-392	25	9	samples	sample	NOUN
ap-392	25	10	are	be	AUX
ap-392	25	11	used	use	VERB
ap-392	25	12	for	for	ADP
ap-392	25	13	illustrating	illustrate	VERB
ap-392	25	14	the	the	DET
ap-392	25	15	algorithm	algorithm	NOUN
ap-392	25	16	.	.	PUNCT
ap-392	26	1	2	2	NUM
ap-392	26	2	transformations	transformation	NOUN
ap-392	26	3	applied	apply	VERB
ap-392	26	4	to	to	ADP
ap-392	26	5	the	the	DET
ap-392	26	6	gray	gray	ADJ
ap-392	26	7	-	-	PUNCT
ap-392	26	8	scale	scale	NOUN
ap-392	26	9	images	image	NOUN
ap-392	26	10	this	this	DET
ap-392	26	11	section	section	NOUN
ap-392	26	12	describes	describe	VERB
ap-392	26	13	important	important	ADJ
ap-392	26	14	transformations	transformation	NOUN
ap-392	26	15	,	,	PUNCT
ap-392	26	16	such	such	ADJ
ap-392	26	17	as	as	ADP
ap-392	26	18	the	the	DET
ap-392	26	19	square	square	ADJ
ap-392	26	20	median	median	ADJ
ap-392	26	21	filter	filter	NOUN
ap-392	26	22	,	,	PUNCT
ap-392	26	23	gaussian	gaussian	ADJ
ap-392	26	24	low	low	ADJ
ap-392	26	25	-	-	PUNCT
ap-392	26	26	fiequency	fiequency	NOUN
ap-392	26	27	filter	filter	NOUN
ap-392	26	28	and	and	CCONJ
ap-392	26	29	local	local	ADJ
ap-392	26	30	equalization	equalization	NOUN
ap-392	26	31	,	,	PUNCT
ap-392	26	32	which	which	PRON
ap-392	26	33	are	be	AUX
ap-392	26	34	widely	widely	ADV
ap-392	26	35	applied	apply	VERB
ap-392	26	36	to	to	ADP
ap-392	26	37	gray	gray	ADJ
ap-392	26	38	-	-	PUNCT
ap-392	26	39	scale	scale	NOUN
ap-392	26	40	images	image	NOUN
ap-392	26	41	.	.	PUNCT
ap-392	27	1	further	further	ADJ
ap-392	27	2	information	information	NOUN
ap-392	27	3	about	about	ADP
ap-392	27	4	transformations	transformation	NOUN
ap-392	27	5	and	and	CCONJ
ap-392	27	6	digital	digital	ADJ
ap-392	27	7	image	image	NOUN
ap-392	27	8	processing	processing	NOUN
ap-392	27	9	in	in	ADP
ap-392	27	10	general	general	ADJ
ap-392	27	11	is	be	AUX
ap-392	27	12	presented	present	VERB
ap-392	27	13	in	in	ADP
ap-392	27	14	many	many	ADJ
ap-392	27	15	books	book	NOUN
ap-392	27	16	,	,	PUNCT
ap-392	27	17	e.g.	e.g.	ADV
ap-392	27	18	,	,	PUNCT
ap-392	27	19	[	[	X
ap-392	27	20	-2	-2	X
ap-392	27	21	]	]	X
ap-392	27	22	.	.	PUNCT
ap-392	28	1	2.1	2.1	NUM
ap-392	28	2	square	square	ADJ
ap-392	28	3	median	median	NOUN
ap-392	28	4	ft.lter	ft.lter	NOUN
ap-392	28	5	when	when	SCONJ
ap-392	28	6	applying	apply	VERB
ap-392	28	7	a	a	DET
ap-392	28	8	square	square	ADJ
ap-392	28	9	median	median	ADJ
ap-392	28	10	filter	filter	NOUN
ap-392	28	11	(	(	PUNCT
ap-392	28	12	further	far	ADV
ap-392	28	13	in	in	ADP
ap-392	28	14	the	the	DET
ap-392	28	15	text	text	NOUN
ap-392	28	16	referred	refer	VERB
ap-392	28	17	as	as	ADP
ap-392	28	18	the	the	DET
ap-392	28	19	"	"	PUNCT
ap-392	28	20	square	square	ADJ
ap-392	28	21	median	median	ADJ
ap-392	28	22	filter	filter	NOUN
ap-392	28	23	"	"	PUNCT
ap-392	28	24	)	)	PUNCT
ap-392	28	25	to	to	ADP
ap-392	28	26	the	the	DET
ap-392	28	27	image	image	NOUN
ap-392	28	28	,	,	PUNCT
ap-392	28	29	one	one	PRON
ap-392	28	30	has	have	VERB
ap-392	28	31	to	to	PART
ap-392	28	32	carry	carry	VERB
ap-392	28	33	out	out	ADP
ap-392	28	34	the	the	DET
ap-392	28	35	following	follow	VERB
ap-392	28	36	steps	step	NOUN
ap-392	28	37	for	for	ADP
ap-392	28	38	each	each	DET
ap-392	28	39	point	point	NOUN
ap-392	28	40	(	(	PUNCT
ap-392	28	41	pixel	pixel	PROPN
ap-392	28	42	)	)	PUNCT
ap-392	28	43	in	in	ADP
ap-392	28	44	the	the	DET
ap-392	28	45	image	image	NOUN
ap-392	28	46	:	:	PUNCT
ap-392	28	47	o	o	NOUN
ap-392	28	48	get	get	VERB
ap-392	28	49	intensities	intensity	NOUN
ap-392	28	50	in	in	ADP
ap-392	28	51	the	the	DET
ap-392	28	52	square	square	ADJ
ap-392	28	53	neighborhood	neighborhood	NOUN
ap-392	28	54	(	(	PUNCT
ap-392	28	55	with	with	ADP
ap-392	28	56	the	the	DET
ap-392	28	57	given	give	VERB
ap-392	28	58	size	size	NOUN
ap-392	28	59	)	)	PUNCT
ap-392	28	60	of	of	ADP
ap-392	28	61	the	the	DET
ap-392	28	62	point	point	NOUN
ap-392	28	63	,	,	PUNCT
ap-392	28	64	o	o	NOUN
ap-392	28	65	find	find	VERB
ap-392	28	66	the	the	DET
ap-392	28	67	median	median	ADJ
ap-392	28	68	value	value	NOUN
ap-392	28	69	of	of	ADP
ap-392	28	70	the	the	DET
ap-392	28	71	intensities	intensity	NOUN
ap-392	28	72	.	.	PUNCT
ap-392	29	1	o	o	NOUN
ap-392	29	2	store	store	NOUN
ap-392	29	3	this	this	DET
ap-392	29	4	median	median	ADJ
ap-392	29	5	value	value	NOUN
ap-392	29	6	to	to	ADP
ap-392	29	7	the	the	DET
ap-392	29	8	bufler	bufler	NOUN
ap-392	29	9	at	at	ADP
ap-392	29	10	the	the	DET
ap-392	29	11	appropriate	appropriate	ADJ
ap-392	29	12	coordinate	coordinate	NOUN
ap-392	29	13	that	that	PRON
ap-392	29	14	belongs	belong	VERB
ap-392	29	15	to	to	ADP
ap-392	29	16	the	the	DET
ap-392	29	17	point	point	NOUN
ap-392	29	18	.	.	PUNCT
ap-392	30	1	fig	fig	NOUN
ap-392	30	2	.	.	PUNCT
ap-392	31	1	1	1	NUM
ap-392	31	2	:	:	PUNCT
ap-392	31	3	image	image	NOUN
ap-392	31	4	after	after	ADP
ap-392	31	5	applying	apply	VERB
ap-392	31	6	the	the	DET
ap-392	31	7	square	square	ADJ
ap-392	31	8	median	median	ADJ
ap-392	31	9	filter	filter	NOUN
ap-392	31	10	acta	acta	PROPN
ap-392	31	11	polytechnica	polytechnica	PROPN
ap-392	31	12	vol	vol	NOUN
ap-392	31	13	.	.	PUNCT
ap-392	32	1	43	43	NUM
ap-392	32	2	no	no	INTJ
ap-392	32	3	.	.	PUNCT
ap-392	33	1	ll200|	ll200|	ADP
ap-392	33	2	the	the	DET
ap-392	33	3	entire	entire	ADJ
ap-392	33	4	buffer	buffer	NOUN
ap-392	33	5	will	will	AUX
ap-392	33	6	represent	represent	VERB
ap-392	33	7	the	the	DET
ap-392	33	8	image	image	NOUN
ap-392	33	9	after	after	ADP
ap-392	33	10	transformation	transformation	NOUN
ap-392	33	11	.	.	PUNCT
ap-392	34	1	the	the	DET
ap-392	34	2	result	result	NOUN
ap-392	34	3	of	of	ADP
ap-392	34	4	the	the	DET
ap-392	34	5	application	application	NOUN
ap-392	34	6	of	of	ADP
ap-392	34	7	the	the	DET
ap-392	34	8	square	square	ADJ
ap-392	34	9	median	median	ADJ
ap-392	34	10	filter	filter	NOUN
ap-392	34	11	is	be	AUX
ap-392	34	12	seen	see	VERB
ap-392	34	13	in	in	ADP
ap-392	34	14	iig	iig	PROPN
ap-392	34	15	.	.	PUNCT
ap-392	35	1	l.	l.	PROPN
ap-392	35	2	2.2	2.2	NUM
ap-392	35	3	gaussian	gaussian	ADJ
ap-392	35	4	low	low	ADJ
ap-392	35	5	-	-	PUNCT
ap-392	35	6	frequency	frequency	NOUN
ap-392	35	7	ftlter	ftlter	NOUN
ap-392	35	8	the	the	DET
ap-392	35	9	application	application	NOUN
ap-392	35	10	of	of	ADP
ap-392	35	11	the	the	DET
ap-392	35	12	gaussian	gaussian	ADJ
ap-392	35	13	filter	filter	NOUN
ap-392	35	14	to	to	ADP
ap-392	35	15	the	the	DET
ap-392	35	16	gray	gray	ADJ
ap-392	35	17	-	-	PUNCT
ap-392	35	18	scale	scale	NOUN
ap-392	35	19	image	image	NOUN
ap-392	35	20	involves	involve	VERB
ap-392	35	21	convolution	convolution	NOUN
ap-392	35	22	of	of	ADP
ap-392	35	23	the	the	DET
ap-392	35	24	image	image	NOUN
ap-392	35	25	with	with	ADP
ap-392	35	26	the	the	DET
ap-392	35	27	matrix	matrix	NOUN
ap-392	35	28	filled	fill	VERB
ap-392	35	29	with	with	ADP
ap-392	35	30	the	the	DET
ap-392	35	31	values	value	NOUN
ap-392	35	32	given	give	VERB
ap-392	35	33	by	by	ADP
ap-392	35	34	the	the	DET
ap-392	35	35	following	follow	VERB
ap-392	35	36	-	-	PUNCT
ap-392	35	37	functior	functior	NOUN
ap-392	35	38	,	,	PUNCT
ap-392	35	39	,	,	PUNCT
ap-392	35	40	.((-0.si'(""t	.((-0.si'(""t	PUNCT
ap-392	35	41	"	"	PUNCT
ap-392	35	42	.	.	PUNCT
ap-392	36	1	of	of	ADP
ap-392	36	2	diffusion.value	diffusion.value	NOUN
ap-392	36	3	of	of	ADP
ap-392	36	4	difrusion))(tr"xl	difrusion))(tr"xl	PROPN
ap-392	36	5	l	l	NOUN
ap-392	36	6	)	)	PUNCT
ap-392	36	7	)	)	PUNCT
ap-392	36	8	)	)	PUNCT
ap-392	36	9	,	,	PUNCT
ap-392	36	10	where	where	SCONJ
ap-392	36	11	[	[	X
ap-392	36	12	x,1	x,1	NUM
ap-392	36	13	]	]	X
ap-392	36	14	indicare	indicare	PROPN
ap-392	36	15	indices	indice	VERB
ap-392	36	16	ro	ro	X
ap-392	36	17	rhe	rhe	PROPN
ap-392	36	18	marrix	marrix	NOUN
ap-392	36	19	and	and	CCONJ
ap-392	36	20	[	[	X
ap-392	36	21	0,0	0,0	NOUN
ap-392	36	22	]	]	PUNCT
ap-392	36	23	is	be	AUX
ap-392	36	24	the	the	DET
ap-392	36	25	cen	cen	PROPN
ap-392	36	26	_	_	PRON
ap-392	36	27	ter	ter	NOUN
ap-392	36	28	of	of	ADP
ap-392	36	29	the	the	DET
ap-392	36	30	matrix	matrix	NOUN
ap-392	36	31	.	.	PUNCT
ap-392	37	1	the	the	DET
ap-392	37	2	gaussian	gaussian	ADJ
ap-392	37	3	filter	filter	NOUN
ap-392	37	4	removes	remove	VERB
ap-392	37	5	the	the	DET
ap-392	37	6	high	high	ADJ
ap-392	37	7	frequencies	frequency	NOUN
ap-392	37	8	formed	form	VERB
ap-392	37	9	due	due	ADP
ap-392	37	10	to	to	ADP
ap-392	37	11	mistakes	mistake	NOUN
ap-392	37	12	in	in	ADP
ap-392	37	13	scanning	scanning	NOUN
ap-392	37	14	.	.	PUNCT
ap-392	38	1	the	the	DET
ap-392	38	2	result	result	NOUN
ap-392	38	3	of	of	ADP
ap-392	38	4	the	the	DET
ap-392	38	5	application	application	NOUN
ap-392	38	6	of	of	ADP
ap-392	38	7	the	the	DET
ap-392	38	8	gaussian	gaussian	ADJ
ap-392	38	9	filter	filter	NOUN
ap-392	38	10	is	be	AUX
ap-392	38	11	illustrated	illustrate	VERB
ap-392	38	12	in	in	ADP
ap-392	38	13	f	f	PROPN
ap-392	38	14	-	-	PUNCT
ap-392	38	15	ie	ie	X
ap-392	38	16	.	.	PROPN
ap-392	38	17	2	2	NUM
ap-392	38	18	.	.	X
ap-392	38	19	fig	fig	NOUN
ap-392	38	20	.	.	PUNCT
ap-392	39	1	2	2	NUM
ap-392	39	2	:	:	PUNCT
ap-392	39	3	image	image	NOUN
ap-392	39	4	after	after	ADP
ap-392	39	5	applf	applf	VERB
ap-392	39	6	ing	e	VERB
ap-392	39	7	rhe	rhe	PROPN
ap-392	39	8	gaussian	gaussian	ADJ
ap-392	39	9	low	low	ADJ
ap-392	39	10	-	-	PUNCT
ap-392	39	11	frequeno	frequeno	NOUN
ap-392	39	12	.	.	PUNCT
ap-392	40	1	filter	filter	NOUN
ap-392	40	2	2.j	2.j	NUM
ap-392	40	3	(	(	PUNCT
ap-392	40	4	local	local	ADJ
ap-392	40	5	)	)	PUNCT
ap-392	40	6	equali.zation	equali.zation	NOUN
ap-392	40	7	of	of	ADP
ap-392	40	8	the	the	DET
ap-392	40	9	histogram	histogram	NOUN
ap-392	40	10	of	of	ADP
ap-392	40	11	the	the	DET
ap-392	40	12	gray	gray	ADJ
ap-392	40	13	-	-	PUNCT
ap-392	40	14	scale	scale	NOUN
ap-392	40	15	image	image	NOUN
ap-392	40	16	before	before	ADP
ap-392	40	17	eoualization	eoualization	NOUN
ap-392	40	18	after	after	ADP
ap-392	40	19	eoualization	eoualization	NOUN
ap-392	40	20	fig	fig	NOUN
ap-392	40	21	.	.	PUNCT
ap-392	41	1	3	3	NUM
ap-392	41	2	:	:	PUNCT
ap-392	41	3	histogru	histogru	NOUN
ap-392	41	4	*	*	X
ap-392	41	5	or	or	CCONJ
ap-392	41	6	,	,	PUNCT
ap-392	41	7	hlt"l	hlt"l	NOUN
ap-392	41	8	-	-	PUNCT
ap-392	41	9	tfo	tfo	ADJ
ap-392	41	10	0.r	0.r	NOUN
ap-392	41	11	...	...	PUNCT
ap-392	41	12	arct	arct	VERB
ap-392	41	13	afrer	afrer	NOUN
ap-392	41	14	applvi'g	applvi'g	PROPN
ap-392	41	15	equalization	equalization	PROPN
ap-392	41	16	local	local	ADJ
ap-392	41	17	equalization	equalization	NOUN
ap-392	41	18	emphasizes	emphasize	VERB
ap-392	41	19	local	local	ADJ
ap-392	41	20	intensity	intensity	NOUN
ap-392	41	21	peaks	peak	NOUN
ap-392	41	22	,	,	PUNCT
ap-392	41	23	local	local	ADJ
ap-392	41	24	minima	minima	NOUN
ap-392	41	25	(	(	PUNCT
ap-392	41	26	boundaries	boundary	NOUN
ap-392	41	27	beru'een	beru'een	VERB
ap-392	41	28	grains	grain	NOUN
ap-392	41	29	)	)	PUNCT
ap-392	41	30	and	and	CCONJ
ap-392	41	31	unifies	unify	VERB
ap-392	41	32	changes	change	NOUN
ap-392	41	33	of	of	ADP
ap-392	41	34	brightness	brightness	NOUN
ap-392	41	35	in	in	ADP
ap-392	41	36	the	the	DET
ap-392	41	37	whole	whole	ADJ
ap-392	41	38	image	image	NOUN
ap-392	41	39	.	.	PUNCT
ap-392	42	1	if	if	SCONJ
ap-392	42	2	/r	/r	PRON
ap-392	42	3	.zr	.zr	PROPN
ap-392	42	4	is	be	AUX
ap-392	42	5	the	the	DET
ap-392	42	6	size	size	NOUN
ap-392	42	7	of	of	ADP
ap-392	42	8	neighborhood	neighborhood	NOUN
ap-392	42	9	of	of	ADP
ap-392	42	10	a	a	DET
ap-392	42	11	given	give	VERB
ap-392	42	12	point	point	NOUN
ap-392	42	13	for	for	ADP
ap-392	42	14	local	local	ADJ
ap-392	42	15	equalization	equalization	NOUN
ap-392	42	16	(	(	PUNCT
ap-392	42	17	or	or	CCONJ
ap-392	42	18	the	the	DET
ap-392	42	19	image	image	NOUN
ap-392	42	20	size	size	NOUN
ap-392	42	21	for	for	ADP
ap-392	42	22	global	global	ADJ
ap-392	42	23	equalization	equalization	NOUN
ap-392	42	24	)	)	PUNCT
ap-392	42	25	,	,	PUNCT
ap-392	42	26	then	then	ADV
ap-392	42	27	rve	rve	PROPN
ap-392	42	28	substitute	substitute	PROPN
ap-392	42	29	the	the	DET
ap-392	42	30	intensity	intensity	NOUN
ap-392	42	31	of	of	ADP
ap-392	42	32	rhe	rhe	NOUN
ap-392	42	33	cenrer	cenrer	X
ap-392	42	34	of	of	ADP
ap-392	42	35	neighborhood	neighborhood	NOUN
ap-392	42	36	(	(	PUNCT
ap-392	42	37	or	or	CCONJ
ap-392	42	38	each	each	DET
ap-392	42	39	intensity	intensity	NOUN
ap-392	42	40	ranged	range	VERB
ap-392	42	41	fiorn	fiorn	NOUN
ap-392	42	42	0	0	NUM
ap-392	42	43	to	to	ADP
ap-392	42	44	255	255	NUM
ap-392	42	45	for	for	ADP
ap-392	42	46	global	global	ADJ
ap-392	42	47	equalization	equalization	NOUN
ap-392	42	48	)	)	PUNCT
ap-392	42	49	by	by	ADP
ap-392	42	50	such	such	DET
ap-392	42	51	an	an	DET
ap-392	42	52	intensity	intensity	NOUN
ap-392	42	53	obtained	obtain	VERB
ap-392	42	54	from	from	ADP
ap-392	42	55	rhe	rhe	NOUN
ap-392	42	56	fbllon'ing	fbllon'e	VERB
ap-392	42	57	formula	formula	NOUN
ap-392	42	58	:	:	PUNCT
ap-392	42	59	.	.	PUNCT
ap-392	43	1	rvhere	rvhere	ADV
ap-392	43	2	i	i	PRON
ap-392	43	3	is	be	AUX
ap-392	43	4	the	the	DET
ap-392	43	5	given	give	VERB
ap-392	43	6	intensity	intensity	NOUN
ap-392	43	7	,	,	PUNCT
ap-392	43	8	h	h	NOUN
ap-392	43	9	,	,	PUNCT
ap-392	43	10	a	a	PRON
ap-392	43	11	are	be	AUX
ap-392	43	12	given	give	VERB
ap-392	43	13	real	real	ADJ
ap-392	43	14	numbers	number	NOUN
ap-392	43	15	,	,	PUNCT
ap-392	43	16	a	a	PRON
ap-392	43	17	is	be	AUX
ap-392	43	18	a	a	DET
ap-392	43	19	sought	seek	VERB
ap-392	43	20	intensity	intensity	NOUN
ap-392	43	21	for	for	ADP
ap-392	43	22	the	the	DET
ap-392	43	23	above	above	ADV
ap-392	43	24	-	-	PUNCT
ap-392	43	25	mentioned	mention	VERB
ap-392	43	26	substitution	substitution	NOUN
ap-392	43	27	,	,	PUNCT
ap-392	43	28	and	and	CCONJ
ap-392	43	29	the	the	DET
ap-392	43	30	sum	sum	NOUN
ap-392	43	31	on	on	ADP
ap-392	43	32	the	the	DET
ap-392	43	33	right	right	ADJ
ap-392	43	34	hand	hand	NOUN
ap-392	43	35	side	side	NOUN
ap-392	43	36	of	of	ADP
ap-392	43	37	the	the	DET
ap-392	43	38	above	above	ADJ
ap-392	43	39	formula	formula	NOUN
ap-392	43	40	is	be	AUX
ap-392	43	41	the	the	DET
ap-392	43	42	discretized	discretize	VERB
ap-392	43	43	integral	integral	ADJ
ap-392	43	44	on	on	ADP
ap-392	43	45	rhe	rhe	NOUN
ap-392	43	46	left	leave	VERB
ap-392	43	47	hand	hand	NOUN
ap-392	43	48	side	side	NOUN
ap-392	43	49	of	of	ADP
ap-392	43	50	the	the	DET
ap-392	43	51	formula	formula	NOUN
ap-392	43	52	.	.	PUNCT
ap-392	44	1	the	the	DET
ap-392	44	2	result	result	NOUN
ap-392	44	3	of	of	ADP
ap-392	44	4	applying	apply	VERB
ap-392	44	5	local	local	ADJ
ap-392	44	6	equalization	equalization	NOUN
ap-392	44	7	is	be	AUX
ap-392	44	8	shown	show	VERB
ap-392	44	9	in	in	ADP
ap-392	44	10	fig.4	fig.4	PROPN
ap-392	44	11	.	.	PROPN
ap-392	44	12	3	3	NUM
ap-392	44	13	technology	technology	NOUN
ap-392	44	14	used	use	VERB
ap-392	44	15	for	for	ADP
ap-392	44	16	acquisition	acquisition	NOUN
ap-392	44	17	of	of	ADP
ap-392	44	18	gray	gray	ADJ
ap-392	44	19	-	-	PUNCT
ap-392	44	20	scale	scale	NOUN
ap-392	44	21	images	image	NOUN
ap-392	44	22	the	the	DET
ap-392	44	23	gray	gray	ADJ
ap-392	44	24	-	-	PUNCT
ap-392	44	25	scale	scale	NOUN
ap-392	44	26	images	image	NOUN
ap-392	44	27	(	(	PUNCT
ap-392	44	28	input	input	NOUN
ap-392	44	29	data	datum	NOUN
ap-392	44	30	to	to	ADP
ap-392	44	31	the	the	DET
ap-392	44	32	algorithm	algorithm	NOUN
ap-392	44	33	)	)	PUNCT
ap-392	44	34	of	of	ADP
ap-392	44	35	a	a	DET
ap-392	44	36	grain	grain	NOUN
ap-392	44	37	structure	structure	NOUN
ap-392	44	38	are	be	AUX
ap-392	44	39	collected	collect	VERB
ap-392	44	40	by	by	ADP
ap-392	44	41	stm	stm	PROPN
ap-392	44	42	in	in	ADP
ap-392	44	43	the	the	DET
ap-392	44	44	case	case	NOUN
ap-392	44	45	ofconductive	ofconductive	ADJ
ap-392	44	46	materials	material	NOUN
ap-392	44	47	.	.	PUNCT
ap-392	45	1	in	in	ADP
ap-392	45	2	the	the	DET
ap-392	45	3	case	case	NOUN
ap-392	45	4	of	of	ADP
ap-392	45	5	different	different	ADJ
ap-392	45	6	materials	material	NOUN
ap-392	45	7	,	,	PUNCT
ap-392	45	8	a	a	DET
ap-392	45	9	diflerent	diflerent	ADJ
ap-392	45	10	microscope	microscope	NOUN
ap-392	45	11	has	have	VERB
ap-392	45	12	to	to	PART
ap-392	45	13	be	be	AUX
ap-392	45	14	used	use	VERB
ap-392	45	15	.	.	PUNCT
ap-392	46	1	the	the	DET
ap-392	46	2	basic	basic	ADJ
ap-392	46	3	parts	part	NOUN
ap-392	46	4	of	of	ADP
ap-392	46	5	stm	stm	PROPN
ap-392	46	6	are	be	AUX
ap-392	46	7	:	:	PUNCT
ap-392	46	8	a	a	DET
ap-392	46	9	standard	standard	ADJ
ap-392	46	10	scanner	scanner	NOUN
ap-392	46	11	with	with	ADP
ap-392	46	12	nvo	nvo	PROPN
ap-392	46	13	piezoceramic	piezoceramic	ADJ
ap-392	46	14	tubes	tube	NOUN
ap-392	46	15	having	have	VERB
ap-392	46	16	outer	outer	ADJ
ap-392	46	17	and	and	CCONJ
ap-392	46	18	inner	inner	ADJ
ap-392	46	19	electrodes	electrode	NOUN
ap-392	46	20	and	and	CCONJ
ap-392	46	21	with	with	ADP
ap-392	46	22	a	a	DET
ap-392	46	23	scanning	scanning	NOUN
ap-392	46	24	tip	tip	NOUN
ap-392	46	25	,	,	PUNCT
ap-392	46	26	and	and	CCONJ
ap-392	46	27	the	the	DET
ap-392	46	28	carriage	carriage	NOUN
ap-392	46	29	with	with	ADP
ap-392	46	30	a	a	DET
ap-392	46	31	material	material	NOUN
ap-392	46	32	sample	sample	NOUN
ap-392	46	33	.	.	PUNCT
ap-392	47	1	the	the	DET
ap-392	47	2	scanning	scanning	NOUN
ap-392	47	3	of	of	ADP
ap-392	47	4	the	the	DET
ap-392	47	5	sample	sample	NOUN
ap-392	47	6	surfaceworks	surfacework	NOUN
ap-392	47	7	on	on	ADP
ap-392	47	8	the	the	DET
ap-392	47	9	principle	principle	NOUN
ap-392	47	10	of	of	ADP
ap-392	47	11	tunnel	tunnel	NOUN
ap-392	47	12	current	current	ADJ
ap-392	47	13	between	between	ADP
ap-392	47	14	the	the	DET
ap-392	47	15	sample	sample	NOUN
ap-392	47	16	and	and	CCONJ
ap-392	47	17	the	the	DET
ap-392	47	18	microscope	microscope	NOUN
ap-392	47	19	.	.	PUNCT
ap-392	48	1	'	'	PUNCT
ap-392	48	2	l	l	NOUN
ap-392	48	3	-	-	PUNCT
ap-392	48	4	he	he	PRON
ap-392	48	5	voltage	voltage	NOUN
ap-392	48	6	is	be	AUX
ap-392	48	7	fed	feed	VERB
ap-392	48	8	to	to	ADP
ap-392	48	9	the	the	DET
ap-392	48	10	carriage	carriage	NOUN
ap-392	48	11	.	.	PUNCT
ap-392	49	1	the	the	DET
ap-392	49	2	level	level	NOUN
ap-392	49	3	of	of	ADP
ap-392	49	4	the	the	DET
ap-392	49	5	tunnel	tunnel	NOUN
ap-392	49	6	current	current	NOUN
ap-392	49	7	depends	depend	VERB
ap-392	49	8	on	on	ADP
ap-392	49	9	the	the	DET
ap-392	49	10	amount	amount	NOUN
ap-392	49	11	of	of	ADP
ap-392	49	12	voltage	voltage	NOUN
ap-392	49	13	and	and	CCONJ
ap-392	49	14	on	on	ADP
ap-392	49	15	the	the	DET
ap-392	49	16	distance	distance	NOUN
ap-392	49	17	between	between	ADP
ap-392	49	18	the	the	DET
ap-392	49	19	sample	sample	NOUN
ap-392	49	20	surface	surface	NOUN
ap-392	49	21	and	and	CCONJ
ap-392	49	22	the	the	DET
ap-392	49	23	scanning	scanning	NOUN
ap-392	49	24	tip	tip	NOUN
ap-392	49	25	.	.	PUNCT
ap-392	50	1	the	the	PRON
ap-392	50	2	closer	close	ADV
ap-392	50	3	the	the	DET
ap-392	50	4	point	point	NOUN
ap-392	50	5	at	at	ADP
ap-392	50	6	the	the	DET
ap-392	50	7	sample	sample	NOUN
ap-392	50	8	surface	surface	NOUN
ap-392	50	9	is	be	AUX
ap-392	50	10	to	to	ADP
ap-392	50	11	the	the	DET
ap-392	50	12	scanning	scanning	NOUN
ap-392	50	13	tip	tip	NOUN
ap-392	50	14	,	,	PUNCT
ap-392	50	15	the	the	PRON
ap-392	50	16	stronger	strong	ADJ
ap-392	50	17	the	the	DET
ap-392	50	18	current	current	NOUN
ap-392	50	19	.	.	PUNCT
ap-392	51	1	the	the	DET
ap-392	51	2	magnitude	magnitude	NOUN
ap-392	51	3	of	of	ADP
ap-392	51	4	the	the	DET
ap-392	51	5	currenr	currenr	ADJ
ap-392	51	6	intensity	intensity	NOUN
ap-392	51	7	is	be	AUX
ap-392	51	8	stored	store	VERB
ap-392	51	9	to	to	ADP
ap-392	51	10	the	the	DET
ap-392	51	11	grav	grav	NOUN
ap-392	51	12	-	-	PUNCT
ap-392	51	13	scale	scale	NOUN
ap-392	51	14	intage	intage	NOUN
ap-392	51	15	that	that	PRON
ap-392	51	16	serves	serve	VERB
ap-392	51	17	as	as	ADP
ap-392	51	18	an	an	DET
ap-392	51	19	input	input	NOUN
ap-392	51	20	to	to	ADP
ap-392	51	21	the	the	DET
ap-392	51	22	algorithrn	algorithrn	NOUN
ap-392	51	23	.	.	PUNCT
ap-392	52	1	the	the	DET
ap-392	52	2	scanned	scan	VERB
ap-392	52	3	area	area	NOUN
ap-392	52	4	is	be	AUX
ap-392	52	5	fixed	fix	VERB
ap-392	52	6	.	.	PUNCT
ap-392	53	1	the	the	DET
ap-392	53	2	voltage	voltage	NOUN
ap-392	53	3	on	on	ADP
ap-392	53	4	the	the	DET
ap-392	53	5	outer	outer	ADJ
ap-392	53	6	labels	label	NOUN
ap-392	53	7	of	of	ADP
ap-392	53	8	the	the	DET
ap-392	53	9	piezoceramic	piezoceramic	ADJ
ap-392	53	10	rubes	rube	NOUN
ap-392	53	11	of	of	ADP
ap-392	53	12	stm	stm	PROPN
ap-392	53	13	is	be	AUX
ap-392	53	14	controlled	control	VERB
ap-392	53	15	by	by	ADP
ap-392	53	16	the	the	DET
ap-392	53	17	size	size	NOUN
ap-392	53	18	of	of	ADP
ap-392	53	19	'	'	PUNCT
ap-392	53	20	the	the	DET
ap-392	53	21	scanned	scanned	ADJ
ap-392	53	22	area	area	NOUN
ap-392	53	23	.	.	PUNCT
ap-392	54	1	detailed	detailed	ADJ
ap-392	54	2	information	information	NOUN
ap-392	54	3	about	about	ADP
ap-392	54	4	the	the	DET
ap-392	54	5	technology	technology	NOUN
ap-392	54	6	used	use	VERB
ap-392	54	7	and	and	CCONJ
ap-392	54	8	about	about	ADP
ap-392	54	9	the	the	DET
ap-392	54	10	microscope	microscope	NOUN
ap-392	54	11	used	use	VERB
ap-392	54	12	is	be	AUX
ap-392	54	13	presented	present	VERB
ap-392	54	14	in	in	ADP
ap-392	54	15	manyjournals	manyjournal	NOUN
ap-392	54	16	and	and	CCONJ
ap-392	54	17	books	book	NOUN
ap-392	54	18	,	,	PUNCT
ap-392	54	19	see	see	VERB
ap-392	54	20	,	,	PUNCT
ap-392	54	21	e.c	e.c	PROPN
ap-392	54	22	.	.	PROPN
ap-392	54	23	,	,	PUNCT
ap-392	55	1	[	[	X
ap-392	55	2	7	7	NUM
ap-392	55	3	]	]	PUNCT
ap-392	55	4	,	,	PUNCT
ap-392	55	5	tgl	tgl	PROPN
ap-392	55	6	,	,	PUNCT
ap-392	55	7	il0l	il0l	PROPN
ap-392	55	8	.	.	PROPN
ap-392	55	9	4	4	NUM
ap-392	55	10	characteristics	characteristic	NOUN
ap-392	55	11	of	of	ADP
ap-392	55	12	the	the	DET
ap-392	55	13	gray	gray	ADJ
ap-392	55	14	-	-	PUNCT
ap-392	55	15	scale	scale	NOUN
ap-392	55	16	images	image	NOUN
ap-392	55	17	(	(	PUNCT
ap-392	55	18	input	input	NOUN
ap-392	55	19	data	datum	NOUN
ap-392	55	20	)	)	PUNCT
ap-392	55	21	technical	technical	ADJ
ap-392	55	22	imperfections	imperfection	NOUN
ap-392	55	23	of	of	ADP
ap-392	55	24	stm	stm	PROPN
ap-392	55	25	result	result	NOUN
ap-392	55	26	in	in	ADP
ap-392	55	27	relatively	relatively	ADV
ap-392	55	28	noisy	noisy	ADJ
ap-392	55	29	images	image	NOUN
ap-392	55	30	rvith	rvith	ADJ
ap-392	55	31	undesired	undesired	ADJ
ap-392	55	32	artefacts	artefact	NOUN
ap-392	55	33	,	,	PUNCT
ap-392	55	34	for	for	ADP
ap-392	55	35	example	example	NOUN
ap-392	55	36	:	:	PUNCT
ap-392	55	37	the	the	DET
ap-392	55	38	reaj	reaj	NOUN
ap-392	55	39	srain	srain	VERB
ap-392	55	40	boundaries	boundary	NOUN
ap-392	55	41	vanish	vanish	VERB
ap-392	55	42	and	and	CCONJ
ap-392	55	43	unreal	unreal	ADJ
ap-392	55	44	boundariei	boundariei	PROPN
ap-392	55	45	arise	arise	VERB
ap-392	55	46	,	,	PUNCT
ap-392	55	47	and	and	CCONJ
ap-392	55	48	irany	irany	ADJ
ap-392	55	49	artificial	artificial	ADJ
ap-392	55	50	local	local	ADJ
ap-392	55	51	extremes	extreme	NOUN
ap-392	55	52	in	in	ADP
ap-392	55	53	the	the	DET
ap-392	55	54	image	image	NOUN
ap-392	55	55	are	be	AUX
ap-392	55	56	generated	generate	VERB
ap-392	55	57	(	(	PUNCT
ap-392	55	58	because	because	SCONJ
ap-392	55	59	of	of	ADP
ap-392	55	60	the	the	DET
ap-392	55	61	resulting	result	VERB
ap-392	55	62	roughness	roughness	NOUN
ap-392	55	63	of	of	ADP
ap-392	55	64	the	the	DET
ap-392	55	65	intensity	intensity	NOUN
ap-392	55	66	distribution	distribution	NOUN
ap-392	55	67	)	)	PUNCT
ap-392	55	68	.	.	PUNCT
ap-392	56	1	the	the	DET
ap-392	56	2	rough	rough	ADJ
ap-392	56	3	boundaries	boundary	NOUN
ap-392	56	4	are	be	AUX
ap-392	56	5	formed	form	VERB
ap-392	56	6	parricularly	parricularly	ADV
ap-392	56	7	by	by	ADP
ap-392	56	8	breakdown	breakdown	ADJ
ap-392	56	9	vibrations	vibration	NOUN
ap-392	56	10	of	of	ADP
ap-392	56	11	the	the	DET
ap-392	56	12	microscope	microscope	NOUN
ap-392	56	13	-	-	PUNCT
ap-392	56	14	scanning	scan	VERB
ap-392	56	15	tip	tip	NOUN
ap-392	56	16	.	.	PUNCT
ap-392	57	1	it	it	PRON
ap-392	57	2	may	may	AUX
ap-392	57	3	be	be	AUX
ap-392	57	4	assumed	assume	VERB
ap-392	57	5	from	from	ADP
ap-392	57	6	reality	reality	NOUN
ap-392	57	7	(	(	PUNCT
ap-392	57	8	rvhen	rvhen	PROPN
ap-392	57	9	ovals	oval	NOUN
ap-392	57	10	approximate	approximate	ADJ
ap-392	57	11	grains	grain	NOUN
ap-392	57	12	)	)	PUNCT
ap-392	57	13	that	that	SCONJ
ap-392	57	14	the	the	DET
ap-392	57	15	local	local	ADJ
ap-392	57	16	intensity	intensity	NOUN
ap-392	57	17	peaks	peak	NOUN
ap-392	57	18	are	be	AUX
ap-392	57	19	in	in	ADP
ap-392	57	20	accordance	accordance	NOUN
ap-392	57	21	with	with	ADP
ap-392	57	22	the	the	DET
ap-392	57	23	grain	grain	NOUN
ap-392	57	24	peaks	peak	NOUN
ap-392	57	25	,	,	PUNCT
ap-392	57	26	and	and	CCONJ
ap-392	57	27	the	the	DET
ap-392	57	28	local	local	ADJ
ap-392	57	29	intensity	intensity	NOUN
ap-392	57	30	minima	minima	PROPN
ap-392	57	31	coincide	coincide	NOUN
ap-392	57	32	with	with	ADP
ap-392	57	33	the	the	DET
ap-392	57	34	grain	grain	NOUN
ap-392	57	35	boundaries	boundary	NOUN
ap-392	57	36	.	.	PUNCT
ap-392	58	1	t'he	t'he	NOUN
ap-392	58	2	intensity	intensity	NOUN
ap-392	58	3	values	value	NOUN
ap-392	58	4	between	between	ADP
ap-392	58	5	rhe	rhe	NOUN
ap-392	58	6	peaks	peak	NOUN
ap-392	58	7	and	and	CCONJ
ap-392	58	8	the	the	DET
ap-392	58	9	boundaries	boundary	NOUN
ap-392	58	10	gradually	gradually	ADV
ap-392	58	11	decrease	decrease	VERB
ap-392	58	12	from	from	ADP
ap-392	58	13	the	the	DET
ap-392	58	14	local	local	ADJ
ap-392	58	15	intensity	intensity	NOUN
ap-392	58	16	peaks	peak	NOUN
ap-392	58	17	to	to	ADP
ap-392	58	18	the	the	DET
ap-392	58	19	local	local	ADJ
ap-392	58	20	intensity	intensity	NOUN
ap-392	58	21	minima	minima	PROPN
ap-392	58	22	.	.	PUNCT
ap-392	59	1	the	the	DET
ap-392	59	2	average	average	ADJ
ap-392	59	3	grain	grain	NOUN
ap-392	59	4	size	size	NOUN
ap-392	59	5	depends	depend	VERB
ap-392	59	6	on	on	ADP
ap-392	59	7	the	the	DET
ap-392	59	8	size	size	NOUN
ap-392	59	9	ofthe	ofthe	NOUN
ap-392	59	10	scanned	scan	VERB
ap-392	59	11	area	area	NOUN
ap-392	59	12	.	.	PUNCT
ap-392	60	1	the	the	PRON
ap-392	60	2	smaller	small	ADJ
ap-392	60	3	the	the	DET
ap-392	60	4	scanned	scanned	ADJ
ap-392	60	5	area	area	NOUN
ap-392	60	6	of	of	ADP
ap-392	60	7	the	the	DET
ap-392	60	8	sample	sample	NOUN
ap-392	60	9	,	,	PUNCT
ap-392	60	10	the	the	PRON
ap-392	60	11	bigger	big	ADJ
ap-392	60	12	the	the	DET
ap-392	60	13	grains	grain	NOUN
ap-392	60	14	are	be	AUX
ap-392	60	15	in	in	ADP
ap-392	60	16	the	the	DET
ap-392	60	17	image	image	NOUN
ap-392	60	18	,	,	PUNCT
ap-392	60	19	and	and	CCONJ
ap-392	60	20	there	there	PRON
ap-392	60	21	are	be	VERB
ap-392	60	22	fewer	few	ADJ
ap-392	60	23	grains	grain	NOUN
ap-392	60	24	in	in	ADP
ap-392	60	25	the	the	DET
ap-392	60	26	image	image	NOUN
ap-392	60	27	.	.	PUNCT
ap-392	61	1	the	the	PRON
ap-392	61	2	larger	large	ADJ
ap-392	61	3	the	the	DET
ap-392	61	4	scanned	scanned	ADJ
ap-392	61	5	area	area	NOUN
ap-392	61	6	,	,	PUNCT
ap-392	61	7	the	the	PRON
ap-392	61	8	smaller	small	ADJ
ap-392	61	9	the	the	DET
ap-392	61	10	grains	grain	NOUN
ap-392	61	11	are	be	AUX
ap-392	61	12	in	in	ADP
ap-392	61	13	the	the	DET
ap-392	61	14	image	image	NOUN
ap-392	61	15	,	,	PUNCT
ap-392	61	16	and	and	CCONJ
ap-392	61	17	the	the	DET
ap-392	61	18	grearer	grearer	NOUN
ap-392	61	19	the	the	DET
ap-392	61	20	number	number	NOUN
ap-392	61	21	of	of	ADP
ap-392	61	22	grains	grain	NOUN
ap-392	61	23	in	in	ADP
ap-392	61	24	the	the	DET
ap-392	61	25	image	image	NOUN
ap-392	61	26	.	.	PUNCT
ap-392	62	1	'	'	PUNCT
ap-392	62	2	fhe	fhe	NOUN
ap-392	62	3	images	image	NOUN
ap-392	62	4	are	be	AUX
ap-392	62	5	distributed	distribute	VERB
ap-392	62	6	to	to	ADP
ap-392	62	7	the	the	DET
ap-392	62	8	following	follow	VERB
ap-392	62	9	three	three	NUM
ap-392	62	10	categories	category	NOUN
ap-392	62	11	:	:	PUNCT
ap-392	62	12	o	o	NOUN
ap-392	62	13	category	category	NOUN
ap-392	62	14	i	i	PRON
ap-392	62	15	(	(	PUNCT
ap-392	62	16	big	big	ADJ
ap-392	62	17	scanned	scan	VERB
ap-392	62	18	area	area	NOUN
ap-392	62	19	,	,	PUNCT
ap-392	62	20	small	small	ADJ
ap-392	62	21	grains	grain	NOUN
ap-392	62	22	)	)	PUNCT
ap-392	62	23	,	,	PUNCT
ap-392	62	24	o	o	NOUN
ap-392	62	25	category	category	NOUN
ap-392	62	26	2	2	NUM
ap-392	62	27	(	(	PUNCT
ap-392	62	28	the	the	DET
ap-392	62	29	intermediate	intermediate	ADJ
ap-392	62	30	case	case	NOUN
ap-392	62	31	)	)	PUNCT
ap-392	62	32	,	,	PUNCT
ap-392	62	33	r	r	NOUN
ap-392	62	34	category	category	NOUN
ap-392	62	35	3	3	NUM
ap-392	62	36	(	(	PUNCT
ap-392	62	37	small	small	ADJ
ap-392	62	38	scanned	scan	VERB
ap-392	62	39	area	area	NOUN
ap-392	62	40	,	,	PUNCT
ap-392	62	41	big	big	ADJ
ap-392	62	42	grains).fig	grains).fig	X
ap-392	62	43	.	.	NOUN
ap-392	62	44	4	4	NUM
ap-392	62	45	:	:	PUNCT
ap-392	62	46	image	image	NOUN
ap-392	62	47	atter	atter	NOUN
ap-392	62	48	applying	apply	VERB
ap-392	62	49	local	local	ADJ
ap-392	62	50	equalizatior"r	equalizatior"r	PROPN
ap-392	62	51	5c	5c	NUM
ap-392	62	52	acta	acta	PROPN
ap-392	62	53	polytechnica	polytechnica	PROPN
ap-392	62	54	vol	vol	NOUN
ap-392	62	55	.	.	PUNCT
ap-392	63	1	43	43	NUM
ap-392	63	2	no	no	NOUN
ap-392	63	3	.	.	NOUN
ap-392	63	4	112003	112003	NUM
ap-392	63	5	fig	fig	NOUN
ap-392	63	6	.	.	PUNCT
ap-392	64	1	5	5	NUM
ap-392	64	2	:	:	PUNCT
ap-392	64	3	big	big	ADJ
ap-392	64	4	area	area	NOUN
ap-392	64	5	,	,	PUNCT
ap-392	64	6	small	small	ADJ
ap-392	64	7	grains	grain	NOUN
ap-392	64	8	(	(	PUNCT
ap-392	64	9	category	category	NOUN
ap-392	64	10	l	l	NOUN
ap-392	64	11	)	)	PUNCT
ap-392	64	12	fig	fig	NOUN
ap-392	64	13	.	.	PUNCT
ap-392	65	1	6	6	NUM
ap-392	65	2	:	:	PUNCT
ap-392	65	3	small	small	ADJ
ap-392	65	4	area	area	NOUN
ap-392	65	5	,	,	PUNCT
ap-392	65	6	big	big	ADJ
ap-392	65	7	grains	grain	NOUN
ap-392	65	8	(	(	PUNCT
ap-392	65	9	category	category	NOUN
ap-392	65	10	2	2	NUM
ap-392	65	11	)	)	PUNCT
ap-392	65	12	fig	fig	NOUN
ap-392	65	13	.	.	PUNCT
ap-392	66	1	7	7	NUM
ap-392	66	2	:	:	PUNCT
ap-392	66	3	intermediate	intermediate	ADJ
ap-392	66	4	case	case	NOUN
ap-392	66	5	(	(	PUNCT
ap-392	66	6	category	category	NOUN
ap-392	66	7	3	3	NUM
ap-392	66	8	)	)	PUNCT
ap-392	66	9	the	the	DET
ap-392	66	10	boundaries	boundary	NOUN
ap-392	66	11	between	between	ADP
ap-392	66	12	categories	category	NOUN
ap-392	66	13	are	be	AUX
ap-392	66	14	defined	define	VERB
ap-392	66	15	experimentally	experimentally	ADV
ap-392	66	16	,	,	PUNCT
ap-392	66	17	as	as	SCONJ
ap-392	66	18	illustrated	illustrate	VERB
ap-392	66	19	in	in	ADP
ap-392	66	20	fig	fig	NOUN
ap-392	66	21	.	.	PUNCT
ap-392	67	1	5	5	NUM
ap-392	67	2	,	,	PUNCT
ap-392	67	3	frg	frg	PROPN
ap-392	67	4	.	.	PROPN
ap-392	67	5	6	6	NUM
ap-392	67	6	,	,	PUNCT
ap-392	67	7	and	and	CCONJ
ap-392	67	8	fig	fig	NOUN
ap-392	67	9	.	.	PUNCT
ap-392	68	1	7	7	X
ap-392	68	2	.	.	X
ap-392	68	3	the	the	DET
ap-392	68	4	local	local	ADJ
ap-392	68	5	average	average	ADJ
ap-392	68	6	intensity	intensity	NOUN
ap-392	68	7	near	near	ADP
ap-392	68	8	the	the	DET
ap-392	68	9	points	point	NOUN
ap-392	68	10	varies	vary	VERB
ap-392	68	11	with	with	ADP
ap-392	68	12	their	their	PRON
ap-392	68	13	position	position	NOUN
ap-392	68	14	in	in	ADP
ap-392	68	15	the	the	DET
ap-392	68	16	image	image	NOUN
ap-392	68	17	,	,	PUNCT
ap-392	68	18	and	and	CCONJ
ap-392	68	19	with	with	ADP
ap-392	68	20	the	the	DET
ap-392	68	21	grain	grain	NOUN
ap-392	68	22	size	size	NOUN
ap-392	68	23	(	(	PUNCT
ap-392	68	24	see	see	VERB
ap-392	68	25	iigs.5	iigs.5	NOUN
ap-392	68	26	-	-	PUNCT
ap-392	68	27	7	7	NUM
ap-392	68	28	)	)	PUNCT
ap-392	68	29	.	.	PUNCT
ap-392	69	1	the	the	DET
ap-392	69	2	part	part	NOUN
ap-392	69	3	of	of	ADP
ap-392	69	4	the	the	DET
ap-392	69	5	algorithm	algorithm	NOUN
ap-392	69	6	for	for	ADP
ap-392	69	7	calculating	calculate	VERB
ap-392	69	8	the	the	DET
ap-392	69	9	probability	probability	NOUN
ap-392	69	10	distribution	distribution	NOUN
ap-392	69	11	of	of	ADP
ap-392	69	12	the	the	DET
ap-392	69	13	grain	grain	NOUN
ap-392	69	14	size	size	NOUN
ap-392	69	15	assumes	assume	VERB
ap-392	69	16	that	that	SCONJ
ap-392	69	17	the	the	DET
ap-392	69	18	grains	grain	NOUN
ap-392	69	19	in	in	ADP
ap-392	69	20	the	the	DET
ap-392	69	21	sample	sample	NOUN
ap-392	69	22	have	have	VERB
ap-392	69	23	a	a	DET
ap-392	69	24	non	non	ADJ
ap-392	69	25	-	-	ADJ
ap-392	69	26	ideal	ideal	ADJ
ap-392	69	27	spherejike	spherejike	ADJ
ap-392	69	28	shape	shape	NOUN
ap-392	69	29	.	.	PUNCT
ap-392	70	1	if	if	SCONJ
ap-392	70	2	this	this	DET
ap-392	70	3	shape	shape	NOUN
ap-392	70	4	can	can	AUX
ap-392	70	5	not	not	PART
ap-392	70	6	be	be	AUX
ap-392	70	7	assumed	assume	VERB
ap-392	70	8	for	for	ADP
ap-392	70	9	any	any	DET
ap-392	70	10	reason	reason	NOUN
ap-392	70	11	,	,	PUNCT
ap-392	70	12	the	the	DET
ap-392	70	13	method	method	NOUN
ap-392	70	14	of	of	ADP
ap-392	70	15	description	description	NOUN
ap-392	70	16	of	of	ADP
ap-392	70	17	the	the	DET
ap-392	70	18	local	local	ADJ
ap-392	70	19	curvature	curvature	NOUN
ap-392	70	20	can	can	AUX
ap-392	70	21	not	not	PART
ap-392	70	22	be	be	AUX
ap-392	70	23	used	use	VERB
ap-392	70	24	by	by	ADP
ap-392	70	25	the	the	DET
ap-392	70	26	procedure	procedure	NOUN
ap-392	70	27	established	establish	VERB
ap-392	70	28	in	in	ADP
ap-392	70	29	section	section	NOUN
ap-392	70	30	6	6	NUM
ap-392	70	31	.	.	NOUN
ap-392	70	32	5	5	NUM
ap-392	70	33	the	the	DET
ap-392	70	34	algorithm	algorithm	NOUN
ap-392	70	35	the	the	DET
ap-392	70	36	input	input	NOUN
ap-392	70	37	to	to	ADP
ap-392	70	38	the	the	DET
ap-392	70	39	algorithm	algorithm	NOUN
ap-392	70	40	is	be	AUX
ap-392	70	41	a	a	DET
ap-392	70	42	gray	gray	ADJ
ap-392	70	43	-	-	PUNCT
ap-392	70	44	scale	scale	NOUN
ap-392	70	45	image	image	NOUN
ap-392	70	46	(	(	PUNCT
ap-392	70	47	input	input	NOUN
ap-392	70	48	image	image	NOUN
ap-392	70	49	)	)	PUNCT
ap-392	70	50	,	,	PUNCT
ap-392	70	51	which	which	PRON
ap-392	70	52	represents	represent	VERB
ap-392	70	53	the	the	DET
ap-392	70	54	surface	surface	NOUN
ap-392	70	55	of	of	ADP
ap-392	70	56	a	a	DET
ap-392	70	57	trial	trial	NOUN
ap-392	70	58	sample	sample	NOUN
ap-392	70	59	,	,	PUNCT
ap-392	70	60	see	see	VERB
ap-392	70	61	fig	fig	NOUN
ap-392	70	62	.	.	PUNCT
ap-392	71	1	8	8	NUM
ap-392	71	2	,	,	PUNCT
ap-392	71	3	for	for	ADP
ap-392	71	4	example	example	NOUN
ap-392	71	5	.	.	PUNCT
ap-392	72	1	the	the	DET
ap-392	72	2	first	first	ADJ
ap-392	72	3	step	step	NOUN
ap-392	72	4	of	of	ADP
ap-392	72	5	the	the	DET
ap-392	72	6	algorithm	algorithm	NOUN
ap-392	72	7	is	be	AUX
ap-392	72	8	to	to	PART
ap-392	72	9	determine	determine	VERB
ap-392	72	10	the	the	DET
ap-392	72	11	parameters	parameter	NOUN
ap-392	72	12	for	for	ADP
ap-392	72	13	the	the	DET
ap-392	72	14	pre	pre	NOUN
ap-392	72	15	-	-	NOUN
ap-392	72	16	processing	processing	NOUN
ap-392	72	17	of	of	ADP
ap-392	72	18	the	the	DET
ap-392	72	19	input	input	NOUN
ap-392	72	20	image	image	NOUN
ap-392	72	21	.	.	PUNCT
ap-392	73	1	this	this	PRON
ap-392	73	2	involves	involve	VERB
ap-392	73	3	assigning	assign	VERB
ap-392	73	4	the	the	DET
ap-392	73	5	input	input	NOUN
ap-392	73	6	image	image	NOUN
ap-392	73	7	to	to	ADP
ap-392	73	8	category	category	NOUN
ap-392	73	9	1,2	1,2	NUM
ap-392	73	10	,	,	PUNCT
ap-392	73	11	or	or	CCONJ
ap-392	73	12	3	3	NUM
ap-392	73	13	as	as	SCONJ
ap-392	73	14	shown	show	VERB
ap-392	73	15	and	and	CCONJ
ap-392	73	16	defined	define	VERB
ap-392	73	17	in	in	ADP
ap-392	73	18	the	the	DET
ap-392	73	19	forthcoming	forthcoming	ADJ
ap-392	73	20	section	section	NOUN
ap-392	73	21	5	5	NUM
ap-392	73	22	.	.	PUNCT
ap-392	73	23	l.	l.	PROPN
ap-392	73	24	the	the	DET
ap-392	73	25	next	next	ADJ
ap-392	73	26	step	step	NOUN
ap-392	73	27	of	of	ADP
ap-392	73	28	the	the	DET
ap-392	73	29	algorithm	algorithm	NOUN
ap-392	73	30	is	be	AUX
ap-392	73	31	to	to	PART
ap-392	73	32	investigate	investigate	VERB
ap-392	73	33	the	the	DET
ap-392	73	34	local	local	ADJ
ap-392	73	35	intensity	intensity	NOUN
ap-392	73	36	extremes	extreme	NOUN
ap-392	73	37	of	of	ADP
ap-392	73	38	the	the	DET
ap-392	73	39	input	input	NOUN
ap-392	73	40	image	image	NOUN
ap-392	73	41	and	and	CCONJ
ap-392	73	42	use	use	VERB
ap-392	73	43	the	the	DET
ap-392	73	44	local	local	ADJ
ap-392	73	45	infig	infig	NOUN
ap-392	73	46	.	.	PUNCT
ap-392	74	1	8	8	NUM
ap-392	74	2	:	:	PUNCT
ap-392	74	3	view	view	NOUN
ap-392	74	4	of	of	ADP
ap-392	74	5	the	the	DET
ap-392	74	6	gray	gray	ADJ
ap-392	74	7	-	-	PUNCT
ap-392	74	8	scale	scale	NOUN
ap-392	74	9	input	input	NOUN
ap-392	74	10	image	image	NOUN
ap-392	74	11	tensity	tensity	NOUN
ap-392	74	12	extremes	extreme	NOUN
ap-392	74	13	for	for	ADP
ap-392	74	14	the	the	DET
ap-392	74	15	localization	localization	NOUN
ap-392	74	16	of	of	ADP
ap-392	74	17	grain	grain	NOUN
ap-392	74	18	boundaries	boundary	NOUN
ap-392	74	19	.	.	PUNCT
ap-392	75	1	the	the	DET
ap-392	75	2	localization	localization	NOUN
ap-392	75	3	begins	begin	VERB
ap-392	75	4	at	at	ADP
ap-392	75	5	all	all	DET
ap-392	75	6	local	local	ADJ
ap-392	75	7	intensity	intensity	NOUN
ap-392	75	8	peaks	peak	NOUN
ap-392	75	9	.	.	PUNCT
ap-392	76	1	intensity	intensity	NOUN
ap-392	76	2	minima	minima	PROPN
ap-392	76	3	serve	serve	PROPN
ap-392	76	4	as	as	SCONJ
ap-392	76	5	stop	stop	VERB
ap-392	76	6	conditions	condition	NOUN
ap-392	76	7	of	of	ADP
ap-392	76	8	the	the	DET
ap-392	76	9	localization	localization	NOUN
ap-392	76	10	.	.	PUNCT
ap-392	77	1	the	the	DET
ap-392	77	2	data	datum	NOUN
ap-392	77	3	of	of	ADP
ap-392	77	4	the	the	DET
ap-392	77	5	grain	grain	NOUN
ap-392	77	6	boundaries	boundary	NOUN
ap-392	77	7	are	be	AUX
ap-392	77	8	used	use	VERB
ap-392	77	9	for	for	ADP
ap-392	77	10	calculating	calculate	VERB
ap-392	77	11	the	the	DET
ap-392	77	12	probability	probability	NOUN
ap-392	77	13	distribution	distribution	NOUN
ap-392	77	14	of	of	ADP
ap-392	77	15	grain	grain	NOUN
ap-392	77	16	size	size	NOUN
ap-392	77	17	in	in	ADP
ap-392	77	18	the	the	DET
ap-392	77	19	final	final	ADJ
ap-392	77	20	step	step	NOUN
ap-392	77	21	.	.	PUNCT
ap-392	78	1	there	there	PRON
ap-392	78	2	are	be	VERB
ap-392	78	3	two	two	NUM
ap-392	78	4	methods	method	NOUN
ap-392	78	5	defined	define	VERB
ap-392	78	6	for	for	ADP
ap-392	78	7	the	the	DET
ap-392	78	8	calculations	calculation	NOUN
ap-392	78	9	:	:	PUNCT
ap-392	78	10	the	the	DET
ap-392	78	11	method	method	NOUN
ap-392	78	12	of	of	ADP
ap-392	78	13	the	the	DET
ap-392	78	14	nvo	nvo	PROPN
ap-392	78	15	most	most	ADV
ap-392	78	16	distant	distant	ADJ
ap-392	78	17	points	point	NOUN
ap-392	78	18	and	and	CCONJ
ap-392	78	19	the	the	DET
ap-392	78	20	method	method	NOUN
ap-392	78	21	of	of	ADP
ap-392	78	22	description	description	NOUN
ap-392	78	23	of	of	ADP
ap-392	78	24	the	the	DET
ap-392	78	25	local	local	ADJ
ap-392	78	26	curvature	curvature	NOUN
ap-392	78	27	of	of	ADP
ap-392	78	28	grain	grain	NOUN
ap-392	78	29	boundaries	boundary	NOUN
ap-392	78	30	.	.	PUNCT
ap-392	79	1	output	output	NOUN
ap-392	79	2	data	datum	NOUN
ap-392	79	3	with	with	ADP
ap-392	79	4	the	the	DET
ap-392	79	5	probability	probability	NOUN
ap-392	79	6	distribution	distribution	NOUN
ap-392	79	7	may	may	AUX
ap-392	79	8	be	be	AUX
ap-392	79	9	represented	represent	VERB
ap-392	79	10	by	by	ADP
ap-392	79	11	a	a	DET
ap-392	79	12	graph	graph	NOUN
ap-392	79	13	,	,	PUNCT
ap-392	79	14	or	or	CCONJ
ap-392	79	15	by	by	ADP
ap-392	79	16	a	a	DET
ap-392	79	17	simple	simple	ADJ
ap-392	79	18	data	datum	NOUN
ap-392	79	19	summary	summary	NOUN
ap-392	79	20	.	.	PUNCT
ap-392	80	1	the	the	DET
ap-392	80	2	overview	overview	NOUN
ap-392	80	3	of	of	ADP
ap-392	80	4	the	the	DET
ap-392	80	5	algorithm	algorithm	NOUN
ap-392	80	6	is	be	AUX
ap-392	80	7	shown	show	VERB
ap-392	80	8	in	in	ADP
ap-392	80	9	fig	fig	NOUN
ap-392	80	10	.	.	PUNCT
ap-392	81	1	9	9	NUM
ap-392	81	2	.	.	X
ap-392	82	1	@emoving	@emove	VERB
ap-392	82	2	of	of	ADP
ap-392	82	3	geometrical	geometrical	ADJ
ap-392	82	4	deformations	deformation	NOUN
ap-392	82	5	)	)	PUNCT
ap-392	82	6	pre	pre	ADJ
ap-392	82	7	-	-	ADJ
ap-392	82	8	processing	processing	NOUN
ap-392	82	9	of	of	ADP
ap-392	82	10	input	input	NOUN
ap-392	82	11	image	image	NOUN
ap-392	82	12	localization	localization	NOUN
ap-392	82	13	boundaries	boundary	NOUN
ap-392	82	14	between	between	ADP
ap-392	82	15	grains	grain	NOUN
ap-392	82	16	calculations	calculation	NOUN
ap-392	82	17	of	of	ADP
ap-392	82	18	probability	probability	NOUN
ap-392	82	19	distribution	distribution	NOUN
ap-392	82	20	ofthe	ofthe	NOUN
ap-392	82	21	size	size	NOUN
ap-392	82	22	ofthe	ofthe	NOUN
ap-392	82	23	grain	grain	NOUN
ap-392	82	24	acquisition	acquisition	NOUN
ap-392	82	25	of	of	ADP
ap-392	82	26	input	input	NOUN
ap-392	82	27	data	datum	NOUN
ap-392	82	28	algorithm	algorithm	PROPN
ap-392	82	29	fig	fig	NOUN
ap-392	82	30	.	.	PUNCT
ap-392	83	1	9	9	NUM
ap-392	83	2	:	:	PUNCT
ap-392	83	3	chart	chart	NOUN
ap-392	83	4	of	of	ADP
ap-392	83	5	the	the	DET
ap-392	83	6	algorithm	algorithm	NOUN
ap-392	83	7	30	30	NUM
ap-392	83	8	sample	sample	NOUN
ap-392	83	9	acta	acta	PROPN
ap-392	83	10	polytechnica	polytechnica	PROPN
ap-392	83	11	vol	vol	NOUN
ap-392	83	12	.	.	PUNCT
ap-392	84	1	43	43	NUM
ap-392	84	2	no	no	INTJ
ap-392	84	3	.	.	PUNCT
ap-392	85	1	ll2}0	ll2}0	PROPN
ap-392	85	2	g	g	NOUN
ap-392	85	3	5.1	5.1	NUM
ap-392	85	4	assigning	assign	VERB
ap-392	85	5	the	the	DET
ap-392	85	6	input	input	NOUN
ap-392	85	7	image	image	NOUN
ap-392	85	8	to	to	ADP
ap-392	85	9	a	a	DET
ap-392	85	10	category	category	NOUN
ap-392	85	11	theaim	theaim	NOUN
ap-392	85	12	of	of	ADP
ap-392	85	13	this	this	DET
ap-392	85	14	algorithm	algorithm	NOUN
ap-392	85	15	step	step	NOUN
ap-392	85	16	is	be	AUX
ap-392	85	17	ro	ro	NOUN
ap-392	85	18	match	match	VERB
ap-392	85	19	the	the	DET
ap-392	85	20	input	input	NOUN
ap-392	85	21	image	image	NOUN
ap-392	85	22	to	to	ADP
ap-392	85	23	the	the	DET
ap-392	85	24	above	above	ADV
ap-392	85	25	-	-	PUNCT
ap-392	85	26	defined	define	VERB
ap-392	85	27	caregory	caregory	NOUN
ap-392	85	28	(	(	PUNCT
ap-392	85	29	recall	recall	VERB
ap-392	85	30	that	that	SCONJ
ap-392	85	31	we	we	PRON
ap-392	85	32	consider	consider	VERB
ap-392	85	33	thrie	thrie	ADJ
ap-392	85	34	categories	category	NOUN
ap-392	85	35	,	,	PUNCT
ap-392	85	36	cf	cf	NOUN
ap-392	85	37	.	.	PUNCT
ap-392	86	1	frg	frg	PROPN
ap-392	86	2	.	.	PROPN
ap-392	87	1	5	5	NUM
ap-392	87	2	-	-	SYM
ap-392	87	3	z	z	NOUN
ap-392	87	4	)	)	PUNCT
ap-392	87	5	,	,	PUNCT
ap-392	87	6	and	and	CCONJ
ap-392	87	7	to	to	PART
ap-392	87	8	select	select	VERB
ap-392	87	9	the	the	DET
ap-392	87	10	size	size	NOUN
ap-392	87	11	of	of	ADP
ap-392	87	12	the	the	DET
ap-392	87	13	square	square	ADJ
ap-392	87	14	neighborhood	neighborhood	NOUN
ap-392	87	15	for	for	ADP
ap-392	87	16	subsequent	subsequent	ADJ
ap-392	87	17	use	use	NOUN
ap-392	87	18	in	in	ADP
ap-392	87	19	the	the	DET
ap-392	87	20	pre_processing	pre_processe	VERB
ap-392	87	21	ofthe	ofthe	ADJ
ap-392	87	22	input	input	NOUN
ap-392	87	23	image	image	NOUN
ap-392	87	24	and	and	CCONJ
ap-392	87	25	in	in	ADP
ap-392	87	26	the	the	DET
ap-392	87	27	search	search	NOUN
ap-392	87	28	for	for	ADP
ap-392	87	29	local	local	ADJ
ap-392	87	30	-	-	PUNCT
ap-392	87	31	peals	peal	NOUN
ap-392	87	32	in	in	ADP
ap-392	87	33	thislmage	thislmage	NOUN
ap-392	87	34	.	.	PUNCT
ap-392	88	1	the	the	DET
ap-392	88	2	neighborhood	neighborhood	NOUN
ap-392	88	3	may	may	AUX
ap-392	88	4	also	also	ADV
ap-392	88	5	be	be	AUX
ap-392	88	6	determined	determine	VERB
ap-392	88	7	manually	manually	ADV
ap-392	88	8	with	with	ADP
ap-392	88	9	respect	respect	NOUN
ap-392	88	10	to	to	ADP
ap-392	88	11	the	the	DET
ap-392	88	12	value	value	NOUN
ap-392	88	13	entered	enter	VERB
ap-392	88	14	by	by	ADP
ap-392	88	15	the	the	DET
ap-392	88	16	user	user	NOUN
ap-392	88	17	_	_	PUNCT
ap-392	89	1	the	the	DET
ap-392	89	2	average	average	ADJ
ap-392	89	3	size	size	NOUN
ap-392	89	4	of	of	ADP
ap-392	89	5	grains	grain	NOUN
ap-392	89	6	in	in	ADP
ap-392	89	7	the	the	DET
ap-392	89	8	image	image	NOUN
ap-392	89	9	may	may	AUX
ap-392	89	10	be	be	AUX
ap-392	89	11	improved	improve	VERB
ap-392	89	12	by	by	ADP
ap-392	89	13	hand	hand	NOUN
ap-392	89	14	.	.	PUNCT
ap-392	90	1	tion	tion	NOUN
ap-392	90	2	2.1	2.1	NUM
ap-392	90	3	)	)	PUNCT
ap-392	90	4	.	.	PUNCT
ap-392	91	1	the	the	DET
ap-392	91	2	image	image	NOUN
ap-392	91	3	is	be	AUX
ap-392	91	4	then	then	ADV
ap-392	91	5	to	to	ADP
ap-392	91	6	some	some	DET
ap-392	91	7	exrenr	exrenr	NOUN
ap-392	91	8	free	free	ADJ
ap-392	91	9	of	of	ADP
ap-392	91	10	disturbed	disturbed	ADJ
ap-392	91	11	grain	grain	NOUN
ap-392	91	12	boundaries	boundary	NOUN
ap-392	91	13	and	and	CCONJ
ap-392	91	14	free	free	ADJ
ap-392	91	15	of	of	ADP
ap-392	91	16	artificially	artificially	ADV
ap-392	91	17	generated	generate	VERB
ap-392	91	18	bound	bind	VERB
ap-392	91	19	_	_	PUNCT
ap-392	91	20	aries	arie	NOUN
ap-392	91	21	.	.	PUNCT
ap-392	92	1	it	it	PRON
ap-392	92	2	has	have	AUX
ap-392	92	3	been	be	AUX
ap-392	92	4	shown	show	VERB
ap-392	92	5	experimentally	experimentally	ADV
ap-392	92	6	inut	inut	ADJ
ap-392	92	7	it	it	PRON
ap-392	93	1	i	i	PRON
ap-392	93	2	,	,	PUNCT
ap-392	93	3	more	more	ADV
ap-392	93	4	convenient	convenient	ADJ
ap-392	93	5	to	to	PART
ap-392	93	6	run	run	VERB
ap-392	93	7	the	the	DET
ap-392	93	8	"	"	PUNCT
ap-392	93	9	square	square	ADJ
ap-392	93	10	median	median	ADJ
ap-392	93	11	filter	filter	NOUN
ap-392	93	12	'	'	PUNCT
ap-392	93	13	.	.	PUNCT
ap-392	94	1	several	several	ADJ
ap-392	94	2	times	time	NOUN
ap-392	94	3	in	in	ADP
ap-392	94	4	a	a	DET
ap-392	94	5	small	small	ADJ
ap-392	94	6	neighborhood	neighborhood	NOUN
ap-392	94	7	than	than	ADP
ap-392	94	8	only	only	ADV
ap-392	94	9	once	once	ADV
ap-392	94	10	in	in	ADP
ap-392	94	11	a	a	DET
ap-392	94	12	larger	large	ADJ
ap-392	94	13	neighborhood	neighborhood	NOUN
ap-392	94	14	.	.	PUNCT
ap-392	95	1	after	after	ADP
ap-392	95	2	applying	apply	VERB
ap-392	95	3	the	the	DET
ap-392	95	4	"	"	PUNCT
ap-392	95	5	square	square	ADJ
ap-392	95	6	median	median	ADJ
ap-392	95	7	filter	filter	NOUN
ap-392	95	8	'	'	PUNCT
ap-392	95	9	,	,	PUNCT
ap-392	95	10	,	,	PUNCT
ap-392	95	11	,	,	PUNCT
ap-392	95	12	,	,	PUNCT
ap-392	95	13	local	local	ADJ
ap-392	95	14	equaliza	equaliza	NOUN
ap-392	95	15	_	_	PROPN
ap-392	95	16	tion	tion	NOUN
ap-392	95	17	"	"	PUNCT
ap-392	95	18	is	be	AUX
ap-392	95	19	applied	apply	VERB
ap-392	95	20	to	to	PART
ap-392	95	21	equalize	equalize	VERB
ap-392	95	22	the	the	DET
ap-392	95	23	local	local	ADJ
ap-392	95	24	brightness	brightness	NOUN
ap-392	95	25	changei	changei	ADV
ap-392	95	26	in	in	ADP
ap-392	95	27	the	the	DET
ap-392	95	28	rmage	rmage	NOUN
ap-392	95	29	and	and	CCONJ
ap-392	95	30	to	to	PART
ap-392	95	31	uni$	uni$	VERB
ap-392	95	32	and	and	CCONJ
ap-392	95	33	emphasize	emphasize	VERB
ap-392	95	34	information	information	NOUN
ap-392	95	35	about	about	ADP
ap-392	95	36	the	the	DET
ap-392	95	37	grain	grain	NOUN
ap-392	95	38	.	.	PUNCT
ap-392	96	1	boundaries	boundary	NOUN
ap-392	96	2	and	and	CCONJ
ap-392	96	3	grain	grain	NOUN
ap-392	96	4	peaks	peak	NOUN
ap-392	96	5	.	.	PUNCT
ap-392	97	1	before	before	ADP
ap-392	97	2	the	the	DET
ap-392	97	3	application	application	NOUN
ap-392	97	4	of	of	ADP
ap-392	97	5	"	"	PUNCT
ap-392	97	6	lor	lor	NOUN
ap-392	97	7	:	:	PUNCT
ap-392	97	8	al	al	PROPN
ap-392	97	9	equalization	equalization	PROPN
ap-392	97	10	"	"	PUNCT
ap-392	97	11	,	,	PUNCT
ap-392	97	12	it	it	PRON
ap-392	97	13	is	be	AUX
ap-392	97	14	possible	possible	ADJ
ap-392	97	15	only	only	ADV
ap-392	97	16	to	to	PART
ap-392	97	17	claim	claim	VERB
ap-392	97	18	tirat	tirat	NOUN
ap-392	97	19	potential	potential	ADJ
ap-392	97	20	peaks	peak	NOUN
ap-392	97	21	ofgrains	ofgrain	NOUN
ap-392	97	22	(	(	PUNCT
ap-392	97	23	as	as	ADP
ap-392	97	24	starting	start	VERB
ap-392	97	25	points	point	NOUN
ap-392	97	26	for	for	ADP
ap-392	97	27	the	the	DET
ap-392	97	28	localization	localization	NOUN
ap-392	97	29	ofgrain	ofgrain	NOUN
ap-392	97	30	boundaries	boundary	NOUN
ap-392	97	31	)	)	PUNCT
ap-392	97	32	are	be	AUX
ap-392	97	33	local	local	ADJ
ap-392	97	34	intensity	intensity	NOUN
ap-392	97	35	maxima	maxima	NOUN
ap-392	97	36	.	.	PUNCT
ap-392	98	1	this	this	DET
ap-392	98	2	statement	statement	NOUN
ap-392	98	3	is	be	AUX
ap-392	98	4	weaker	weak	ADJ
ap-392	98	5	than	than	ADP
ap-392	98	6	after	after	ADP
ap-392	98	7	applying	apply	VERB
ap-392	98	8	"	"	PUNCT
ap-392	98	9	local	local	ADJ
ap-392	98	10	equalization	equalization	NOUN
ap-392	98	11	"	"	PUNCT
ap-392	98	12	.	.	PUNCT
ap-392	99	1	after	after	ADP
ap-392	99	2	apply	apply	VERB
ap-392	99	3	_	_	PRON
ap-392	99	4	ing	ing	ADJ
ap-392	99	5	"	"	PUNCT
ap-392	99	6	local	local	ADJ
ap-392	99	7	equalization	equalization	NOUN
ap-392	99	8	"	"	PUNCT
ap-392	99	9	,	,	PUNCT
ap-392	99	10	it	it	PRON
ap-392	99	11	can	can	AUX
ap-392	99	12	be	be	AUX
ap-392	99	13	claimed	claim	VERB
ap-392	99	14	that	that	SCONJ
ap-392	99	15	the	the	DET
ap-392	99	16	local	local	ADJ
ap-392	99	17	inien	inien	PROPN
ap-392	99	18	_	_	NOUN
ap-392	99	19	sity	sity	NOUN
ap-392	99	20	peaks	peak	NOUN
ap-392	99	21	from	from	ADP
ap-392	99	22	a	a	DET
ap-392	99	23	certain	certain	ADJ
ap-392	99	24	intensity	intensity	NOUN
ap-392	99	25	are	be	AUX
ap-392	99	26	potential	potential	ADJ
ap-392	99	27	grain	grain	NOUN
ap-392	99	28	peaks	peak	NOUN
ap-392	99	29	.	.	PUNCT
ap-392	100	1	it	it	PRON
ap-392	100	2	has	have	AUX
ap-392	100	3	been	be	AUX
ap-392	100	4	shown	show	VERB
ap-392	100	5	experimentally	experimentally	ADV
ap-392	100	6	thar,,global	thar,,global	ADJ
ap-392	100	7	eluahzation	eluahzation	NOUN
ap-392	100	8	'	'	PUNCT
ap-392	100	9	,	,	PUNCT
ap-392	100	10	(	(	PUNCT
ap-392	100	11	for	for	ADP
ap-392	100	12	more	more	ADJ
ap-392	100	13	details	detail	NOUN
ap-392	100	14	see	see	VERB
ap-392	100	15	2.3	2.3	NUM
ap-392	100	16	)	)	PUNCT
ap-392	100	17	applied	apply	VERB
ap-392	100	18	ro	ro	X
ap-392	100	19	rhe	rhe	NOUN
ap-392	100	20	image	image	NOUN
ap-392	100	21	after	after	ADP
ap-392	100	22	,	,	PUNCT
ap-392	100	23	,	,	PUNCT
ap-392	100	24	local	local	ADJ
ap-392	100	25	equalization	equalization	NOUN
ap-392	100	26	"	"	PUNCT
ap-392	100	27	delivers	deliver	VERB
ap-392	100	28	bemer	bemer	NOUN
ap-392	100	29	results	result	NOUN
ap-392	100	30	.	.	PUNCT
ap-392	101	1	fig	fig	NOUN
ap-392	101	2	.	.	PUNCT
ap-392	102	1	12	12	NUM
ap-392	102	2	shows	show	VERB
ap-392	102	3	the	the	DET
ap-392	102	4	image	image	NOUN
ap-392	102	5	after	after	ADP
ap-392	102	6	application	application	NOUN
ap-392	102	7	of	of	ADP
ap-392	102	8	the	the	DET
ap-392	102	9	"	"	PUNCT
ap-392	102	10	square	square	ADJ
ap-392	102	11	median	median	ADJ
ap-392	102	12	filter	filter	NOUN
ap-392	102	13	'	'	PUNCT
ap-392	102	14	,	,	PUNCT
ap-392	102	15	and	and	CCONJ
ap-392	102	16	,	,	PUNCT
ap-392	102	17	,	,	PUNCT
ap-392	102	18	local	local	ADJ
ap-392	102	19	equalization	equalization	NOUN
ap-392	102	20	"	"	PUNCT
ap-392	102	21	.	.	PUNCT
ap-392	103	1	fig	fig	NOUN
ap-392	103	2	rate	rate	NOUN
ap-392	103	3	61	61	NUM
ap-392	103	4	?	?	PUNCT
ap-392	104	1	730	730	NUM
ap-392	104	2	6{g	6{g	NUM
ap-392	104	3	568	568	NUM
ap-392	104	4	487	487	NUM
ap-392	104	5	4s	4s	NUM
ap-392	104	6	3	3	NUM
ap-392	104	7	:	:	PUNCT
ap-392	104	8	{	{	PUNCT
ap-392	104	9	243	243	NUM
ap-392	104	10	162	162	NUM
ap-392	104	11	8l	8l	NOUN
ap-392	104	12	0	0	NUM
ap-392	104	13	25	25	NUM
ap-392	104	14	50	50	NUM
ap-392	104	15	75	75	NUM
ap-392	104	16	100	100	NUM
ap-392	104	17	'	'	NUM
ap-392	104	18	t25	t25	NOUN
ap-392	104	19	r50	r50	VERB
ap-392	104	20	175	175	NUM
ap-392	104	21	200	200	NUM
ap-392	104	22	m	m	NUM
ap-392	104	23	250	250	NUM
ap-392	104	24	inensitu	inensitu	PROPN
ap-392	104	25	l0	l0	PROPN
ap-392	104	26	:	:	PUNCT
ap-392	104	27	histogram	histogram	NOUN
ap-392	104	28	of	of	ADP
ap-392	104	29	an	an	DET
ap-392	104	30	input	input	NOUN
ap-392	104	31	image	image	NOUN
ap-392	104	32	in	in	ADP
ap-392	104	33	category	category	NOUN
ap-392	104	34	i	i	PRON
ap-392	104	35	rate	rate	VERB
ap-392	105	1	i	i	PRON
ap-392	105	2	i	i	PRON
ap-392	105	3	1	1	NUM
ap-392	105	4	i	i	PRON
ap-392	105	5	fig	fig	NOUN
ap-392	105	6	.	.	PUNCT
ap-392	106	1	l2	l2	NOUN
ap-392	106	2	:	:	PUNCT
ap-392	106	3	a	a	DET
ap-392	106	4	locally	locally	ADV
ap-392	106	5	equalized	equalize	VERB
ap-392	106	6	image	image	NOUN
ap-392	106	7	finally	finally	ADV
ap-392	106	8	;	;	PUNCT
ap-392	106	9	the	the	DET
ap-392	106	10	,	,	PUNCT
ap-392	106	11	,	,	PUNCT
ap-392	106	12	gaussian	gaussian	ADJ
ap-392	106	13	low	low	ADJ
ap-392	106	14	frequency	frequency	NOUN
ap-392	106	15	filter	filter	NOUN
ap-392	106	16	"	"	PUNCT
ap-392	106	17	(	(	PUNCT
ap-392	106	18	for	for	ADP
ap-392	106	19	more	more	ADJ
ap-392	106	20	details	detail	NOUN
ap-392	106	21	see	see	VERB
ap-392	106	22	section	section	NOUN
ap-392	106	23	2.2	2.2	NUM
ap-392	106	24	)	)	PUNCT
ap-392	106	25	is	be	AUX
ap-392	106	26	applied	apply	VERB
ap-392	106	27	ro	ro	X
ap-392	106	28	rhe	rhe	NOUN
ap-392	106	29	image	image	NOUN
ap-392	106	30	to	to	PART
ap-392	106	31	eliminate	eliminate	VERB
ap-392	106	32	high	high	ADJ
ap-392	106	33	frequencies	frequency	NOUN
ap-392	106	34	in	in	ADP
ap-392	106	35	the	the	DET
ap-392	106	36	image	image	NOUN
ap-392	106	37	artificial	artificial	ADJ
ap-392	106	38	local	local	ADJ
ap-392	106	39	extremes	extreme	NOUN
ap-392	106	40	generated	generate	VERB
ap-392	106	41	by	by	ADP
ap-392	106	42	erroneous	erroneous	ADJ
ap-392	106	43	vibrations	vibration	NOUN
ap-392	106	44	of	of	ADP
ap-392	106	45	the	the	DET
ap-392	106	46	microscope	microscope	NOUN
ap-392	106	47	rip	rip	NOUN
ap-392	106	48	.	.	PUNCT
ap-392	107	1	the	the	DET
ap-392	107	2	result	result	NOUN
ap-392	107	3	is	be	AUX
ap-392	107	4	very	very	ADV
ap-392	107	5	close	close	ADJ
ap-392	107	6	to	to	PART
ap-392	107	7	rhar	rhar	VERB
ap-392	107	8	depicred	depicre	VERB
ap-392	107	9	in	in	ADP
ap-392	107	10	fig	fig	NOUN
ap-392	107	11	.	.	PUNCT
ap-392	108	1	i	i	PRON
ap-392	108	2	l	l	NOUN
ap-392	108	3	5.3	5.3	NUM
ap-392	108	4	search	search	NOUN
ap-392	108	5	for	for	ADP
ap-392	108	6	local	local	ADJ
ap-392	108	7	intensity	intensity	NOUN
ap-392	108	8	peaks	peak	NOUN
ap-392	108	9	in	in	ADP
ap-392	108	10	the	the	DET
ap-392	108	11	image	image	NOUN
ap-392	108	12	the	the	DET
ap-392	108	13	application	application	NOUN
ap-392	108	14	of	of	ADP
ap-392	108	15	the	the	DET
ap-392	108	16	various	various	ADJ
ap-392	108	17	filters	filter	NOUN
ap-392	108	18	(	(	PUNCT
ap-392	108	19	in	in	ADP
ap-392	108	20	the	the	DET
ap-392	108	21	previous	previous	ADJ
ap-392	108	22	step	step	NOUN
ap-392	108	23	)	)	PUNCT
ap-392	108	24	removes	remove	VERB
ap-392	108	25	the	the	DET
ap-392	108	26	noise	noise	NOUN
ap-392	108	27	from	from	ADP
ap-392	108	28	the	the	DET
ap-392	108	29	image	image	NOUN
ap-392	108	30	and	and	CCONJ
ap-392	108	31	emphasizes	emphasize	VERB
ap-392	108	32	local	local	ADJ
ap-392	108	33	extremes	extreme	NOUN
ap-392	108	34	of	of	ADP
ap-392	108	35	the	the	DET
ap-392	108	36	intensity	intensity	NOUN
ap-392	108	37	function	function	NOUN
ap-392	108	38	,	,	PUNCT
ap-392	108	39	which	which	PRON
ap-392	108	40	represents	represent	VERB
ap-392	108	41	the	the	DET
ap-392	108	42	gray	gray	ADJ
ap-392	108	43	-	-	PUNCT
ap-392	108	44	scale	scale	NOUN
ap-392	108	45	image	image	NOUN
ap-392	108	46	.	.	PUNCT
ap-392	109	1	in	in	ADP
ap-392	109	2	this	this	DET
ap-392	109	3	step	step	NOUN
ap-392	109	4	of	of	ADP
ap-392	109	5	the	the	DET
ap-392	109	6	algorithm	algorithm	NOUN
ap-392	109	7	,	,	PUNCT
ap-392	109	8	local	local	ADJ
ap-392	109	9	intensity	intensity	NOUN
ap-392	109	10	peaks	peak	NOUN
ap-392	109	11	in	in	ADP
ap-392	109	12	the	the	DET
ap-392	109	13	image	image	NOUN
ap-392	109	14	are	be	AUX
ap-392	109	15	searched	search	VERB
ap-392	109	16	(	(	PUNCT
ap-392	109	17	after	after	ADP
ap-392	109	18	pre	pre	ADJ
ap-392	109	19	-	-	ADJ
ap-392	109	20	processing	processing	NOUN
ap-392	109	21	of	of	ADP
ap-392	109	22	the	the	DET
ap-392	109	23	input	input	NOUN
ap-392	109	24	image	image	NOUN
ap-392	109	25	)	)	PUNCT
ap-392	109	26	.	.	PUNCT
ap-392	110	1	the	the	DET
ap-392	110	2	peaks	peak	NOUN
ap-392	110	3	are	be	AUX
ap-392	110	4	raken	raken	VERB
ap-392	110	5	as	as	ADP
ap-392	110	6	the	the	DET
ap-392	110	7	basis	basis	NOUN
ap-392	110	8	of	of	ADP
ap-392	110	9	grains	grain	NOUN
ap-392	110	10	for	for	ADP
ap-392	110	11	segmentation	segmentation	NOUN
ap-392	110	12	of	of	ADP
ap-392	110	13	grains	grain	NOUN
ap-392	110	14	by	by	ADP
ap-392	110	15	the	the	DET
ap-392	110	16	flood	flood	NOUN
ap-392	110	17	-	-	PUNCT
ap-392	110	18	growing	grow	VERB
ap-392	110	19	process	process	NOUN
ap-392	110	20	.	.	PUNCT
ap-392	111	1	local	local	ADJ
ap-392	111	2	peaks	peak	NOUN
ap-392	111	3	are	be	AUX
ap-392	111	4	searched	search	VERB
ap-392	111	5	in	in	ADP
ap-392	111	6	the	the	DET
ap-392	111	7	square	square	ADJ
ap-392	111	8	neighborhood	neighborhood	NOUN
ap-392	111	9	of	of	ADP
ap-392	111	10	a	a	DET
ap-392	111	11	defined	define	VERB
ap-392	111	12	size	size	NOUN
ap-392	111	13	(	(	PUNCT
ap-392	111	14	defined	define	VERB
ap-392	111	15	within	within	ADP
ap-392	111	16	the	the	DET
ap-392	111	17	categorization	categorization	NOUN
ap-392	111	18	of	of	ADP
ap-392	111	19	the	the	DET
ap-392	111	20	image	image	NOUN
ap-392	111	21	)	)	PUNCT
ap-392	111	22	.	.	PUNCT
ap-392	112	1	5.4	5.4	NUM
ap-392	112	2	search	search	NOUN
ap-392	112	3	for	for	ADP
ap-392	112	4	grain	grain	NOUN
ap-392	112	5	boundaries	boundary	NOUN
ap-392	112	6	in	in	ADP
ap-392	112	7	the	the	DET
ap-392	112	8	image	image	NOUN
ap-392	112	9	this	this	DET
ap-392	112	10	section	section	NOUN
ap-392	112	11	describes	describe	VERB
ap-392	112	12	in	in	ADP
ap-392	112	13	detail	detail	NOUN
ap-392	112	14	the	the	DET
ap-392	112	15	part	part	NOUN
ap-392	112	16	of	of	ADP
ap-392	112	17	the	the	DET
ap-392	112	18	algorithm	algorithm	NOUN
ap-392	112	19	for	for	ADP
ap-392	112	20	localizing	localize	VERB
ap-392	112	21	grain	grain	NOUN
ap-392	112	22	boundaries	boundary	NOUN
ap-392	112	23	.	.	PUNCT
ap-392	113	1	the	the	DET
ap-392	113	2	transformations	transformation	NOUN
ap-392	113	3	(	(	PUNCT
ap-392	113	4	of	of	ADP
ap-392	113	5	images	image	NOUN
ap-392	113	6	)	)	PUNCT
ap-392	113	7	mentioned	mention	VERB
ap-392	113	8	in	in	ADP
ap-392	113	9	this	this	DET
ap-392	113	10	secrion	secrion	NOUN
ap-392	113	11	are	be	AUX
ap-392	113	12	described	describe	VERB
ap-392	113	13	in	in	ADP
ap-392	113	14	detail	detail	NOUN
ap-392	113	15	in	in	ADP
ap-392	113	16	section	section	NOUN
ap-392	113	17	2	2	NUM
ap-392	113	18	.	.	PUNCT
ap-392	114	1	more	more	ADJ
ap-392	114	2	information	information	NOUN
ap-392	114	3	about	about	ADP
ap-392	114	4	algorithms	algorithm	NOUN
ap-392	114	5	for	for	ADP
ap-392	114	6	localizating	localizating	NOUN
ap-392	114	7	boundaries	boundary	NOUN
ap-392	114	8	betlveen	betlveen	VERB
ap-392	114	9	objects	object	NOUN
ap-392	114	10	is	be	AUX
ap-392	114	11	presented	present	VERB
ap-392	114	12	in	in	ADP
ap-392	114	13	many	many	ADJ
ap-392	114	14	books	book	NOUN
ap-392	114	15	and	and	CCONJ
ap-392	114	16	journals	journal	NOUN
ap-392	114	17	,	,	PUNCT
ap-392	114	18	see	see	VERB
ap-392	114	19	,	,	PUNCT
ap-392	114	20	e.g.	e.g.	ADV
ap-392	114	21	,	,	PUNCT
ap-392	114	22	tl-21	tl-21	NUM
ap-392	114	23	,	,	PUNCT
ap-392	114	24	t4	t4	PROPN
ap-392	114	25	-	-	PUNCT
ap-392	114	26	61	61	NUM
ap-392	114	27	,	,	PUNCT
ap-392	114	28	t8l	t8l	NOUN
ap-392	114	29	.	.	PUNCT
ap-392	115	1	the	the	DET
ap-392	115	2	search	search	NOUN
ap-392	115	3	for	for	ADP
ap-392	115	4	boundaries	boundary	NOUN
ap-392	115	5	consists	consist	VERB
ap-392	115	6	of	of	ADP
ap-392	115	7	two	two	NUM
ap-392	115	8	steps	step	NOUN
ap-392	115	9	:	:	PUNCT
ap-392	115	10	first	first	ADV
ap-392	115	11	,	,	PUNCT
ap-392	115	12	the	the	DET
ap-392	115	13	local	local	ADJ
ap-392	115	14	intensity	intensity	NOUN
ap-392	115	15	peaks	peak	NOUN
ap-392	115	16	revealed	reveal	VERB
ap-392	115	17	in	in	ADP
ap-392	115	18	the	the	DET
ap-392	115	19	previous	previous	ADJ
ap-392	115	20	algorithm	algorithm	NOUN
ap-392	115	21	step	step	NOUN
ap-392	115	22	are	be	AUX
ap-392	115	23	raken	raken	VERB
ap-392	115	24	as	as	ADP
ap-392	115	25	the	the	DET
ap-392	115	26	basis	basis	NOUN
ap-392	115	27	for	for	ADP
ap-392	115	28	potential	potential	ADJ
ap-392	115	29	grains	grain	NOUN
ap-392	115	30	,	,	PUNCT
ap-392	115	31	and	and	CCONJ
ap-392	115	32	the	the	DET
ap-392	115	33	grains	grain	NOUN
ap-392	115	34	are	be	AUX
ap-392	115	35	segmented	segment	VERB
ap-392	115	36	by	by	ADP
ap-392	115	37	the	the	DET
ap-392	115	38	flood	flood	NOUN
ap-392	115	39	-	-	PUNCT
ap-392	115	40	growing	grow	VERB
ap-392	115	41	process	process	NOUN
ap-392	115	42	with	with	ADP
ap-392	115	43	u	u	PRON
ap-392	115	44	a	a	DET
ap-392	115	45	s	s	X
ap-392	115	46	]	]	X
ap-392	115	47	75	75	NUM
ap-392	115	48	1{n	1{n	NUM
ap-392	115	49	r25	r25	NOUN
ap-392	115	50	150	150	NUM
ap-392	115	51	175	175	NUM
ap-392	115	52	:	:	SYM
ap-392	115	53	00	00	NUM
ap-392	115	54	t25	t25	PROPN
ap-392	115	55	t50	t50	NOUN
ap-392	115	56	inensiti/	inensiti/	NUM
ap-392	115	57	fig	fig	NOUN
ap-392	115	58	.	.	PUNCT
ap-392	116	1	i	i	PRON
ap-392	116	2	i	i	PRON
ap-392	116	3	:	:	PUNCT
ap-392	116	4	histogram	histogram	NOUN
ap-392	116	5	of	of	ADP
ap-392	116	6	an	an	DET
ap-392	116	7	input	input	NOUN
ap-392	116	8	image	image	NOUN
ap-392	116	9	in	in	ADP
ap-392	116	10	caregory	caregory	NOUN
ap-392	116	11	3	3	NUM
ap-392	116	12	auto	auto	NOUN
ap-392	116	13	m	m	NOUN
ap-392	116	14	atic	atic	ADJ
ap-392	116	15	c	c	NOUN
ap-392	116	16	ate	eat	VERB
ap-392	116	17	goriz	goriz	NOUN
ap-392	116	18	atio	atio	PROPN
ap-392	116	19	n	n	PRON
ap-392	116	20	the	the	DET
ap-392	116	21	category	category	NOUN
ap-392	116	22	is	be	AUX
ap-392	116	23	determined	determine	VERB
ap-392	116	24	fiom	fiom	PROPN
ap-392	116	25	the	the	DET
ap-392	116	26	hisrogram	hisrogram	NOUN
ap-392	116	27	of	of	ADP
ap-392	116	28	the	the	DET
ap-392	116	29	input	input	NOUN
ap-392	116	30	image	image	NOUN
ap-392	116	31	after	after	ADP
ap-392	116	32	applying	apply	VERB
ap-392	116	33	"	"	PUNCT
ap-392	116	34	local	local	ADJ
ap-392	116	35	equalization	equalization	NOUN
ap-392	116	36	'	'	PUNCT
ap-392	116	37	;	;	PUNCT
ap-392	116	38	(	(	PUNCT
ap-392	116	39	neighborhood	neighborhood	NOUN
ap-392	116	40	7	7	NUM
ap-392	116	41	for	for	ADP
ap-392	116	42	more	more	ADJ
ap-392	116	43	details	detail	NOUN
ap-392	116	44	see	see	VERB
ap-392	116	45	section	section	NOUN
ap-392	116	46	2.3	2.3	NUM
ap-392	116	47	)	)	PUNCT
ap-392	116	48	to	to	ADP
ap-392	116	49	the	the	DET
ap-392	116	50	input	input	NOUN
ap-392	116	51	image	image	NOUN
ap-392	116	52	.	.	PUNCT
ap-392	117	1	it	it	PRON
ap-392	117	2	has	have	AUX
ap-392	117	3	been	be	AUX
ap-392	117	4	shown	show	VERB
ap-392	117	5	experimenrally	experimenrally	ADV
ap-392	117	6	that	that	SCONJ
ap-392	117	7	smaller	small	ADJ
ap-392	117	8	grains	grain	NOUN
ap-392	117	9	have	have	VERB
ap-392	117	10	a	a	DET
ap-392	117	11	smoother	smooth	ADJ
ap-392	117	12	course	course	NOUN
ap-392	117	13	in	in	ADP
ap-392	117	14	the	the	DET
ap-392	117	15	resulting	result	VERB
ap-392	117	16	histogram	histogram	NOUN
ap-392	117	17	.	.	PUNCT
ap-392	118	1	-fhe	-fhe	PROPN
ap-392	118	2	coefficient	coefficient	NOUN
ap-392	118	3	of	of	ADP
ap-392	118	4	the	the	DET
ap-392	118	5	smoothness	smoothness	NOUN
ap-392	118	6	of	of	ADP
ap-392	118	7	the	the	DET
ap-392	118	8	resulting	result	VERB
ap-392	118	9	histogram	histogram	NOUN
ap-392	118	10	is	be	AUX
ap-392	118	11	calculated	calculate	VERB
ap-392	118	12	as	as	ADP
ap-392	118	13	the	the	DET
ap-392	118	14	sum	sum	NOUN
ap-392	118	15	of	of	ADP
ap-392	118	16	the	the	DET
ap-392	118	17	differences	difference	NOUN
ap-392	118	18	of	of	ADP
ap-392	118	19	neighboring	neighboring	NOUN
ap-392	118	20	values	value	NOUN
ap-392	118	21	in	in	ADP
ap-392	118	22	the	the	DET
ap-392	118	23	histogram	histogram	NOUN
ap-392	118	24	.	.	PUNCT
ap-392	119	1	the	the	DET
ap-392	119	2	category	category	NOUN
ap-392	119	3	of	of	ADP
ap-392	119	4	the	the	DET
ap-392	119	5	image	image	NOUN
ap-392	119	6	(	(	PUNCT
ap-392	119	7	and	and	CCONJ
ap-392	119	8	the	the	DET
ap-392	119	9	necessarl	necessarl	NOUN
ap-392	119	10	,	,	PUNCT
ap-392	119	11	size	size	NOUN
ap-392	119	12	of	of	ADP
ap-392	119	13	the	the	DET
ap-392	119	14	square	square	ADJ
ap-392	119	15	neighborhood	neighborhood	NOUN
ap-392	119	16	used	use	VERB
ap-392	119	17	by	by	ADP
ap-392	119	18	subsequent	subsequent	ADJ
ap-392	119	19	algorithm	algorithm	NOUN
ap-392	119	20	steps	step	NOUN
ap-392	119	21	)	)	PUNCT
ap-392	119	22	is	be	AUX
ap-392	119	23	determined	determine	VERB
ap-392	119	24	.	.	PUNCT
ap-392	120	1	5.2	5.2	NUM
ap-392	120	2	pre	pre	ADJ
ap-392	120	3	-	-	ADJ
ap-392	120	4	processing	processing	NOUN
ap-392	120	5	of	of	ADP
ap-392	120	6	the	the	DET
ap-392	120	7	input	input	NOUN
ap-392	120	8	image	image	NOUN
ap-392	120	9	trirst	trirst	NOUN
ap-392	120	10	,	,	PUNCT
ap-392	120	11	the	the	DET
ap-392	120	12	input	input	NOUN
ap-392	120	13	image	image	NOUN
ap-392	120	14	is	be	AUX
ap-392	120	15	partially	partially	ADV
ap-392	120	16	freed	free	VERB
ap-392	120	17	of	of	ADP
ap-392	120	18	noise	noise	NOUN
ap-392	120	19	by	by	ADP
ap-392	120	20	using	use	VERB
ap-392	120	21	the	the	DET
ap-392	120	22	"	"	PUNCT
ap-392	120	23	square	square	ADJ
ap-392	120	24	median	median	ADJ
ap-392	120	25	filter	filter	NOUN
ap-392	120	26	"	"	PUNCT
ap-392	120	27	(	(	PUNCT
ap-392	120	28	for	for	ADP
ap-392	120	29	detailed	detailed	ADJ
ap-392	120	30	information	information	NOUN
ap-392	120	31	see	see	VERB
ap-392	120	32	sec57	sec57	PROPN
ap-392	120	33	acta	acta	PROPN
ap-392	120	34	polytechnica	polytechnica	PROPN
ap-392	120	35	vol	vol	NOUN
ap-392	120	36	.	.	PUNCT
ap-392	121	1	43	43	NUM
ap-392	121	2	no	no	NOUN
ap-392	121	3	.	.	NOUN
ap-392	121	4	112003	112003	NUM
ap-392	122	1	the	the	DET
ap-392	122	2	criterion	criterion	NOUN
ap-392	122	3	of	of	ADP
ap-392	122	4	decreasing	decrease	VERB
ap-392	122	5	intensity	intensity	NOUN
ap-392	122	6	of	of	ADP
ap-392	122	7	neighboring	neighboring	NOUN
ap-392	122	8	points	point	NOUN
ap-392	122	9	.	.	PUNCT
ap-392	123	1	this	this	DET
ap-392	123	2	concept	concept	NOUN
ap-392	123	3	is	be	AUX
ap-392	123	4	applied	apply	VERB
ap-392	123	5	because	because	SCONJ
ap-392	123	6	the	the	DET
ap-392	123	7	grains	grain	NOUN
ap-392	123	8	are	be	AUX
ap-392	123	9	approximately	approximately	ADV
ap-392	123	10	oval	oval	NOUN
ap-392	123	11	.	.	PUNCT
ap-392	124	1	the	the	DET
ap-392	124	2	tops	top	NOUN
ap-392	124	3	of	of	ADP
ap-392	124	4	the	the	DET
ap-392	124	5	ovals	oval	NOUN
ap-392	124	6	have	have	VERB
ap-392	124	7	the	the	DET
ap-392	124	8	highest	high	ADJ
ap-392	124	9	intensity	intensity	NOUN
ap-392	124	10	in	in	ADP
ap-392	124	11	the	the	DET
ap-392	124	12	region	region	NOUN
ap-392	124	13	of	of	ADP
ap-392	124	14	the	the	DET
ap-392	124	15	grain	grain	NOUN
ap-392	124	16	(	(	PUNCT
ap-392	124	17	as	as	SCONJ
ap-392	124	18	they	they	PRON
ap-392	124	19	are	be	AUX
ap-392	124	20	closest	close	ADJ
ap-392	124	21	to	to	ADP
ap-392	124	22	the	the	DET
ap-392	124	23	microscope	microscope	NOUN
ap-392	124	24	tip	tip	NOUN
ap-392	124	25	during	during	ADP
ap-392	124	26	microscope	microscope	NOUN
ap-392	124	27	scanning	scanning	NOUN
ap-392	124	28	)	)	PUNCT
ap-392	124	29	.	.	PUNCT
ap-392	125	1	by	by	ADP
ap-392	125	2	contrast	contrast	NOUN
ap-392	125	3	,	,	PUNCT
ap-392	125	4	points	point	VERB
ap-392	125	5	on	on	ADP
ap-392	125	6	the	the	DET
ap-392	125	7	boundaries	boundary	NOUN
ap-392	125	8	between	between	ADP
ap-392	125	9	grains	grain	NOUN
ap-392	125	10	have	have	VERB
ap-392	125	11	a	a	DET
ap-392	125	12	locally	locally	ADV
ap-392	125	13	minimal	minimal	ADJ
ap-392	125	14	intensity	intensity	NOUN
ap-392	125	15	(	(	PUNCT
ap-392	125	16	as	as	SCONJ
ap-392	125	17	they	they	PRON
ap-392	125	18	are	be	AUX
ap-392	125	19	furthest	furth	ADJ
ap-392	125	20	fiom	fiom	NOUN
ap-392	125	21	the	the	DET
ap-392	125	22	microscope	microscope	NOUN
ap-392	125	23	tip	tip	NOUN
ap-392	125	24	)	)	PUNCT
ap-392	125	25	.	.	PUNCT
ap-392	126	1	in	in	ADP
ap-392	126	2	the	the	DET
ap-392	126	3	second	second	ADJ
ap-392	126	4	step	step	NOUN
ap-392	126	5	,	,	PUNCT
ap-392	126	6	some	some	DET
ap-392	126	7	areas	area	NOUN
ap-392	126	8	must	must	AUX
ap-392	126	9	be	be	AUX
ap-392	126	10	linked	link	VERB
ap-392	126	11	togethe6	togethe6	NOUN
ap-392	126	12	as	as	SCONJ
ap-392	126	13	many	many	ADJ
ap-392	126	14	undesirable	undesirable	ADJ
ap-392	126	15	intensity	intensity	NOUN
ap-392	126	16	peaks	peak	NOUN
ap-392	126	17	could	could	AUX
ap-392	126	18	be	be	AUX
ap-392	126	19	due	due	ADJ
ap-392	126	20	to	to	ADP
ap-392	126	21	artefacts	artefact	NOUN
ap-392	126	22	that	that	PRON
ap-392	126	23	were	be	AUX
ap-392	126	24	not	not	PART
ap-392	126	25	eliminated	eliminate	VERB
ap-392	126	26	during	during	ADP
ap-392	126	27	pre	pre	ADJ
ap-392	126	28	-	-	ADJ
ap-392	126	29	processing	processing	NOUN
ap-392	126	30	of	of	ADP
ap-392	126	31	the	the	DET
ap-392	126	32	image	image	NOUN
ap-392	126	33	.	.	PUNCT
ap-392	127	1	as	as	SCONJ
ap-392	127	2	regards	regard	VERB
ap-392	127	3	artificial	artificial	ADJ
ap-392	127	4	intensity	intensity	NOUN
ap-392	127	5	peaks	peak	NOUN
ap-392	127	6	,	,	PUNCT
ap-392	127	7	during	during	ADP
ap-392	127	8	segmentation	segmentation	NOUN
ap-392	127	9	the	the	DET
ap-392	127	10	grain	grain	NOUN
ap-392	127	11	may	may	AUX
ap-392	127	12	be	be	AUX
ap-392	127	13	divided	divide	VERB
ap-392	127	14	into	into	ADP
ap-392	127	15	a	a	DET
ap-392	127	16	lalge	lalge	PROPN
ap-392	127	17	number	number	NOUN
ap-392	127	18	of	of	ADP
ap-392	127	19	smaller	small	ADJ
ap-392	127	20	areas	area	NOUN
ap-392	127	21	(	(	PUNCT
ap-392	127	22	than	than	ADP
ap-392	127	23	the	the	DET
ap-392	127	24	real	real	ADJ
ap-392	127	25	region	region	NOUN
ap-392	127	26	of	of	ADP
ap-392	127	27	the	the	DET
ap-392	127	28	grain	grain	NOUN
ap-392	127	29	)	)	PUNCT
ap-392	127	30	.	.	PUNCT
ap-392	128	1	the	the	DET
ap-392	128	2	grains	grain	NOUN
ap-392	128	3	are	be	AUX
ap-392	128	4	linkedwith	linkedwith	ADP
ap-392	128	5	the	the	DET
ap-392	128	6	use	use	NOUN
ap-392	128	7	of	of	ADP
ap-392	128	8	experimentally	experimentally	ADV
ap-392	128	9	defined	define	VERB
ap-392	128	10	criteria	criterion	NOUN
ap-392	128	11	.	.	PUNCT
ap-392	129	1	segmmtation	segmmtation	NOUN
ap-392	129	2	rf	rf	PRON
ap-392	129	3	goi^	goi^	PROPN
ap-392	129	4	with	with	ADP
ap-392	129	5	jlood	jlood	NOUN
ap-392	129	6	-	-	PUNCT
ap-392	129	7	growing	grow	VERB
ap-392	129	8	in	in	ADP
ap-392	129	9	this	this	DET
ap-392	129	10	step	step	NOUN
ap-392	129	11	the	the	DET
ap-392	129	12	algorithm	algorithm	NOUN
ap-392	129	13	may	may	AUX
ap-392	129	14	be	be	AUX
ap-392	129	15	summarized	summarize	VERB
ap-392	129	16	as	as	SCONJ
ap-392	129	17	follows	follow	VERB
ap-392	129	18	:	:	PUNCT
ap-392	129	19	l.	l.	PROPN
ap-392	129	20	the	the	DET
ap-392	129	21	local	local	ADJ
ap-392	129	22	intensiry	intensiry	NOUN
ap-392	129	23	peaks	peak	NOUN
ap-392	129	24	are	be	AUX
ap-392	129	25	taken	take	VERB
ap-392	129	26	as	as	ADP
ap-392	129	27	one	one	NUM
ap-392	129	28	-	-	PUNCT
ap-392	129	29	point	point	NOUN
ap-392	129	30	-	-	PUNCT
ap-392	129	31	areas	area	NOUN
ap-392	129	32	of	of	ADP
ap-392	129	33	grains	grain	NOUN
ap-392	129	34	.	.	PUNCT
ap-392	130	1	these	these	DET
ap-392	130	2	peaks	peak	NOUN
ap-392	130	3	have	have	VERB
ap-392	130	4	certain	certain	ADJ
ap-392	130	5	intensities	intensity	NOUN
ap-392	130	6	(	(	PUNCT
ap-392	130	7	grainlnt	grainlnt	PROPN
ap-392	130	8	)	)	PUNCT
ap-392	130	9	.	.	PUNCT
ap-392	131	1	2	2	X
ap-392	131	2	.	.	X
ap-392	131	3	the	the	DET
ap-392	131	4	global	global	ADJ
ap-392	131	5	intensity	intensity	NOUN
ap-392	131	6	counter	counter	NOUN
ap-392	131	7	is	be	AUX
ap-392	131	8	initialized	initialize	VERB
ap-392	131	9	at	at	ADP
ap-392	131	10	the	the	DET
ap-392	131	11	maximum	maximum	ADJ
ap-392	131	12	intensity	intensity	NOUN
ap-392	131	13	.	.	PUNCT
ap-392	132	1	the	the	DET
ap-392	132	2	counter	counter	NOUN
ap-392	132	3	can	can	AUX
ap-392	132	4	be	be	AUX
ap-392	132	5	denoted	denote	VERB
ap-392	132	6	as	as	ADP
ap-392	132	7	globlnt	globlnt	NOUN
ap-392	132	8	(	(	PUNCT
ap-392	132	9	globlnt	globlnt	VERB
ap-392	132	10	=	=	NOUN
ap-392	132	11	255	255	NUM
ap-392	132	12	)	)	PUNCT
ap-392	132	13	.	.	PUNCT
ap-392	133	1	3	3	X
ap-392	133	2	.	.	X
ap-392	133	3	aii	aii	PROPN
ap-392	133	4	areas	area	NOUN
ap-392	133	5	of	of	ADP
ap-392	133	6	grains	grain	NOUN
ap-392	133	7	are	be	AUX
ap-392	133	8	cyclically	cyclically	ADV
ap-392	133	9	tested	test	VERB
ap-392	133	10	until	until	ADP
ap-392	133	11	at	at	ADP
ap-392	133	12	least	least	ADV
ap-392	133	13	one	one	NUM
ap-392	133	14	neighbor	neighbor	NOUN
ap-392	133	15	of	of	ADP
ap-392	133	16	the	the	DET
ap-392	133	17	point	point	NOUN
ap-392	133	18	(	(	PUNCT
ap-392	133	19	"	"	PUNCT
ap-392	133	20	trial	trial	NOUN
ap-392	133	21	poinc	poinc	NOUN
ap-392	133	22	'	'	PUNCT
ap-392	133	23	)	)	PUNCT
ap-392	133	24	in	in	ADP
ap-392	133	25	each	each	DET
ap-392	133	26	area	area	NOUN
ap-392	133	27	is	be	AUX
ap-392	133	28	found	find	VERB
ap-392	133	29	that	that	PRON
ap-392	133	30	does	do	AUX
ap-392	133	31	not	not	PART
ap-392	133	32	yet	yet	ADV
ap-392	133	33	belong	belong	VERB
ap-392	133	34	to	to	ADP
ap-392	133	35	an	an	DET
ap-392	133	36	area	area	NOUN
ap-392	133	37	and	and	CCONJ
ap-392	133	38	which	which	PRON
ap-392	133	39	has	have	VERB
ap-392	133	40	intensity	intensity	NOUN
ap-392	133	41	equal	equal	ADJ
ap-392	133	42	to	to	ADP
ap-392	133	43	the	the	DET
ap-392	133	44	counter	counter	ADJ
ap-392	133	45	globlnt	globlnt	PROPN
ap-392	133	46	value	value	NOUN
ap-392	133	47	.	.	PUNCT
ap-392	134	1	let	let	VERB
ap-392	134	2	us	we	PRON
ap-392	134	3	denote	denote	VERB
ap-392	134	4	this	this	DET
ap-392	134	5	found	find	VERB
ap-392	134	6	neighbor	neighbor	NOUN
ap-392	134	7	as	as	ADP
ap-392	134	8	the	the	DET
ap-392	134	9	"	"	PUNCT
ap-392	134	10	eligible	eligible	ADJ
ap-392	134	11	point	point	NOUN
ap-392	134	12	"	"	PUNCT
ap-392	134	13	.	.	PUNCT
ap-392	135	1	this	this	DET
ap-392	135	2	"	"	PUNCT
ap-392	135	3	eligible	eligible	ADJ
ap-392	135	4	point	point	NOUN
ap-392	135	5	"	"	PUNCT
ap-392	135	6	is	be	AUX
ap-392	135	7	added	add	VERB
ap-392	135	8	to	to	ADP
ap-392	135	9	the	the	DET
ap-392	135	10	area	area	NOUN
ap-392	135	11	of	of	ADP
ap-392	135	12	the	the	DET
ap-392	135	13	above	above	ADV
ap-392	135	14	-	-	PUNCT
ap-392	135	15	mentioned	mention	VERB
ap-392	135	16	"	"	PUNCT
ap-392	135	17	trial	trial	NOUN
ap-392	135	18	point	point	NOUN
ap-392	135	19	"	"	PUNCT
ap-392	135	20	and	and	CCONJ
ap-392	135	21	the	the	DET
ap-392	135	22	cycle	cycle	NOUN
ap-392	135	23	is	be	AUX
ap-392	135	24	repeated	repeat	VERB
ap-392	135	25	until	until	ADP
ap-392	135	26	the	the	DET
ap-392	135	27	end	end	NOUN
ap-392	135	28	of	of	ADP
ap-392	135	29	one	one	NUM
ap-392	135	30	loop	loop	NOUN
ap-392	135	31	.	.	PUNCT
ap-392	136	1	the	the	DET
ap-392	136	2	cycle	cycle	NOUN
ap-392	136	3	is	be	AUX
ap-392	136	4	stopped	stop	VERB
ap-392	136	5	when	when	SCONJ
ap-392	136	6	there	there	PRON
ap-392	136	7	is	be	VERB
ap-392	136	8	no	no	DET
ap-392	136	9	"	"	PUNCT
ap-392	136	10	eligible	eligible	ADJ
ap-392	136	11	point	point	NOUN
ap-392	136	12	"	"	PUNCT
ap-392	136	13	.	.	PUNCT
ap-392	137	1	4	4	X
ap-392	137	2	.	.	X
ap-392	137	3	globlnt	globlnt	PROPN
ap-392	137	4	is	be	AUX
ap-392	137	5	decreased	decrease	VERB
ap-392	137	6	by	by	ADP
ap-392	137	7	one	one	NUM
ap-392	137	8	.	.	PUNCT
ap-392	138	1	if	if	SCONJ
ap-392	138	2	the	the	DET
ap-392	138	3	globlnt	globlnt	ADJ
ap-392	138	4	counter	counter	NOUN
ap-392	138	5	is	be	AUX
ap-392	138	6	greater	great	ADJ
ap-392	138	7	than	than	ADP
ap-392	138	8	the	the	DET
ap-392	138	9	lowest	low	ADJ
ap-392	138	10	intensity	intensity	NOUN
ap-392	138	11	0	0	NUM
ap-392	139	1	(	(	PUNCT
ap-392	139	2	0	0	NUM
ap-392	139	3	is	be	AUX
ap-392	139	4	taken	take	VERB
ap-392	139	5	as	as	ADP
ap-392	139	6	the	the	DET
ap-392	139	7	image	image	NOUN
ap-392	139	8	background	background	NOUN
ap-392	139	9	)	)	PUNCT
ap-392	139	10	,	,	PUNCT
ap-392	139	11	the	the	DET
ap-392	139	12	algorithm	algorithm	NOUN
ap-392	139	13	continues	continue	VERB
ap-392	139	14	fiom	fiom	NOUN
ap-392	139	15	step	step	NOUN
ap-392	139	16	3	3	NUM
ap-392	139	17	,	,	PUNCT
ap-392	139	18	otherwise	otherwise	ADV
ap-392	139	19	the	the	DET
ap-392	139	20	algorithm	algorithm	NOUN
ap-392	139	21	for	for	ADP
ap-392	139	22	the	the	DET
ap-392	139	23	flood	flood	NOUN
ap-392	139	24	-	-	PUNCT
ap-392	139	25	growing	grow	VERB
ap-392	139	26	process	process	NOUN
ap-392	139	27	is	be	AUX
ap-392	139	28	stopped	stop	VERB
ap-392	139	29	.	.	PUNCT
ap-392	140	1	now	now	ADV
ap-392	140	2	let	let	VERB
ap-392	140	3	us	we	PRON
ap-392	140	4	show	show	VERB
ap-392	140	5	that	that	SCONJ
ap-392	140	6	the	the	DET
ap-392	140	7	algorithm	algorithm	NOUN
ap-392	140	8	fulfills	fulfill	VERB
ap-392	140	9	the	the	DET
ap-392	140	10	following	follow	VERB
ap-392	140	11	:	:	PUNCT
ap-392	140	12	o	o	NOUN
ap-392	140	13	each	each	DET
ap-392	140	14	point	point	NOUN
ap-392	140	15	in	in	ADP
ap-392	140	16	the	the	DET
ap-392	140	17	image	image	NOUN
ap-392	140	18	is	be	AUX
ap-392	140	19	added	add	VERB
ap-392	140	20	to	to	ADP
ap-392	140	21	a	a	DET
ap-392	140	22	grain	grain	NOUN
ap-392	140	23	,	,	PUNCT
ap-392	140	24	o	o	NOUN
ap-392	140	25	the	the	DET
ap-392	140	26	algorithm	algorithm	NOUN
ap-392	140	27	realizes	realize	VERB
ap-392	140	28	the	the	DET
ap-392	140	29	concept	concept	NOUN
ap-392	140	30	of	of	ADP
ap-392	140	31	the	the	DET
ap-392	140	32	flood	flood	NOUN
ap-392	140	33	-	-	PUNCT
ap-392	140	34	growing	grow	VERB
ap-392	140	35	process	process	NOUN
ap-392	140	36	ofthe	ofthe	NOUN
ap-392	140	37	grains	grain	NOUN
ap-392	140	38	from	from	ADP
ap-392	140	39	the	the	DET
ap-392	140	40	found	find	VERB
ap-392	140	41	peaks	peak	NOUN
ap-392	140	42	,	,	PUNCT
ap-392	140	43	o	o	INTJ
ap-392	140	44	no	no	DET
ap-392	140	45	grain	grain	NOUN
ap-392	140	46	overlaps	overlap	VERB
ap-392	140	47	another	another	DET
ap-392	140	48	grain	grain	NOUN
ap-392	140	49	in	in	ADP
ap-392	140	50	the	the	DET
ap-392	140	51	actual	actual	ADJ
ap-392	140	52	implementation	implementation	NOUN
ap-392	140	53	of	of	ADP
ap-392	140	54	the	the	DET
ap-392	140	55	algorithm	algorithm	NOUN
ap-392	140	56	described	describe	VERB
ap-392	140	57	in	in	ADP
ap-392	140	58	this	this	DET
ap-392	140	59	paper	paper	NOUN
ap-392	140	60	and	and	CCONJ
ap-392	140	61	partial	partial	ADJ
ap-392	140	62	areas	area	NOUN
ap-392	140	63	ofgrains	ofgrains	PRON
ap-392	140	64	touch	touch	VERB
ap-392	140	65	at	at	ADP
ap-392	140	66	the	the	DET
ap-392	140	67	real	real	ADJ
ap-392	140	68	boundaries	boundary	NOUN
ap-392	141	1	ofthe	ofthe	NOUN
ap-392	141	2	grains	grain	NOUN
ap-392	141	3	.	.	PUNCT
ap-392	142	1	local	local	ADJ
ap-392	142	2	intensity	intensity	NOUN
ap-392	142	3	peaks	peak	NOUN
ap-392	142	4	are	be	AUX
ap-392	142	5	selected	select	VERB
ap-392	142	6	in	in	ADP
ap-392	142	7	the	the	DET
ap-392	142	8	whole	whole	ADJ
ap-392	142	9	range	range	NOUN
ap-392	142	10	of	of	ADP
ap-392	142	11	the	the	DET
ap-392	142	12	image	image	NOUN
ap-392	142	13	,	,	PUNCT
ap-392	142	14	so	so	CCONJ
ap-392	142	15	the	the	DET
ap-392	142	16	intensities	intensity	NOUN
ap-392	142	17	of	of	ADP
ap-392	142	18	the	the	DET
ap-392	142	19	neighbors	neighbor	NOUN
ap-392	142	20	of	of	ADP
ap-392	142	21	the	the	DET
ap-392	142	22	local	local	ADJ
ap-392	142	23	peaks	peak	NOUN
ap-392	142	24	may	may	AUX
ap-392	142	25	only	only	ADV
ap-392	142	26	be	be	AUX
ap-392	142	27	lowe6	lowe6	NOUN
ap-392	142	28	or	or	CCONJ
ap-392	142	29	the	the	DET
ap-392	142	30	same	same	ADJ
ap-392	142	31	,	,	PUNCT
ap-392	142	32	but	but	CCONJ
ap-392	142	33	can	can	AUX
ap-392	142	34	not	not	PART
ap-392	142	35	be	be	AUX
ap-392	142	36	higher	high	ADJ
ap-392	142	37	.	.	PUNCT
ap-392	143	1	the	the	DET
ap-392	143	2	points	point	NOUN
ap-392	143	3	on	on	ADP
ap-392	143	4	the	the	DET
ap-392	143	5	boundary	boundary	NOUN
ap-392	143	6	between	between	ADP
ap-392	143	7	nvo	nvo	PROPN
ap-392	143	8	grains	grain	NOUN
ap-392	143	9	are	be	AUX
ap-392	143	10	local	local	ADJ
ap-392	143	11	minima	minima	NOUN
ap-392	143	12	.	.	PUNCT
ap-392	144	1	the	the	DET
ap-392	144	2	points	point	NOUN
ap-392	144	3	between	between	ADP
ap-392	144	4	the	the	DET
ap-392	144	5	boundary	boundary	NOUN
ap-392	144	6	of	of	ADP
ap-392	144	7	a	a	DET
ap-392	144	8	grain	grain	NOUN
ap-392	144	9	and	and	CCONJ
ap-392	144	10	the	the	DET
ap-392	144	11	peak	peak	NOUN
ap-392	144	12	ofthe	ofthe	NOUN
ap-392	144	13	grain	grain	NOUN
ap-392	144	14	belong	belong	VERB
ap-392	144	15	to	to	ADP
ap-392	144	16	the	the	DET
ap-392	144	17	region	region	NOUN
ap-392	144	18	ofthe	ofthe	NOUN
ap-392	144	19	grain	grain	NOUN
ap-392	144	20	,	,	PUNCT
ap-392	144	21	and	and	CCONJ
ap-392	144	22	their	their	PRON
ap-392	144	23	intensities	intensity	NOUN
ap-392	144	24	are	be	AUX
ap-392	144	25	between	between	ADP
ap-392	144	26	the	the	DET
ap-392	144	27	intensity	intensity	NOUN
ap-392	144	28	of	of	ADP
ap-392	144	29	the	the	DET
ap-392	144	30	peak	peak	NOUN
ap-392	144	31	and	and	CCONJ
ap-392	144	32	the	the	DET
ap-392	144	33	intensities	intensity	NOUN
ap-392	144	34	of	of	ADP
ap-392	144	35	the	the	DET
ap-392	144	36	points	point	NOUN
ap-392	144	37	on	on	ADP
ap-392	144	38	the	the	DET
ap-392	144	39	boundary	boundary	NOUN
ap-392	144	40	.	.	PUNCT
ap-392	145	1	points	point	NOUN
ap-392	145	2	belonging	belong	VERB
ap-392	145	3	to	to	ADP
ap-392	145	4	no	no	DET
ap-392	145	5	areayet	areayet	ADV
ap-392	145	6	in	in	ADP
ap-392	145	7	the	the	DET
ap-392	145	8	image	image	NOUN
ap-392	145	9	are	be	AUX
ap-392	145	10	added	add	VERB
ap-392	145	11	to	to	ADP
ap-392	145	12	areas	area	NOUN
ap-392	145	13	when	when	SCONJ
ap-392	145	14	they	they	PRON
ap-392	145	15	are	be	AUX
ap-392	145	16	neighbors	neighbor	NOUN
ap-392	145	17	of	of	ADP
ap-392	145	18	an	an	DET
ap-392	145	19	existing	exist	VERB
ap-392	145	20	area	area	NOUN
ap-392	145	21	and	and	CCONJ
ap-392	145	22	their	their	PRON
ap-392	145	23	intensiry	intensiry	NOUN
ap-392	145	24	is	be	AUX
ap-392	145	25	equal	equal	ADJ
ap-392	145	26	to	to	ADP
ap-392	145	27	or	or	CCONJ
ap-392	145	28	greater	great	ADJ
ap-392	145	29	than	than	ADP
ap-392	145	30	the	the	DET
ap-392	145	31	globlnt	globlnt	ADJ
ap-392	145	32	counter	counter	NOUN
ap-392	145	33	value	value	NOUN
ap-392	145	34	.	.	PUNCT
ap-392	146	1	the	the	DET
ap-392	146	2	value	value	NOUN
ap-392	146	3	of	of	ADP
ap-392	146	4	the	the	DET
ap-392	146	5	globlnt	globlnt	ADJ
ap-392	146	6	counter	counter	NOUN
ap-392	146	7	is	be	AUX
ap-392	146	8	decreased	decrease	VERB
ap-392	146	9	in	in	ADP
ap-392	146	10	each	each	DET
ap-392	146	11	loop	loop	NOUN
ap-392	146	12	according	accord	VERB
ap-392	146	13	to	to	ADP
ap-392	146	14	the	the	DET
ap-392	146	15	steps	step	NOUN
ap-392	146	16	of	of	ADP
ap-392	146	17	the	the	DET
ap-392	146	18	algorithm	algorithm	NOUN
ap-392	146	19	.	.	PUNCT
ap-392	147	1	these	these	DET
ap-392	147	2	substances	substance	NOUN
ap-392	147	3	demonstrate	demonstrate	VERB
ap-392	147	4	that	that	SCONJ
ap-392	147	5	points	point	VERB
ap-392	147	6	with	with	ADP
ap-392	147	7	equal	equal	ADJ
ap-392	147	8	or	or	CCONJ
ap-392	147	9	lower	low	ADJ
ap-392	147	10	intensities	intensity	NOUN
ap-392	147	11	than	than	SCONJ
ap-392	147	12	the	the	DET
ap-392	147	13	intensities	intensity	NOUN
ap-392	147	14	in	in	ADP
ap-392	147	15	the	the	DET
ap-392	147	16	scope	scope	NOUN
ap-392	147	17	ofthe	ofthe	NOUN
ap-392	147	18	given	give	VERB
ap-392	147	19	grain	grain	NOUN
ap-392	147	20	are	be	AUX
ap-392	147	21	added	add	VERB
ap-392	147	22	to	to	ADP
ap-392	147	23	the	the	DET
ap-392	147	24	area	area	NOUN
ap-392	147	25	ofthe	ofthe	NOUN
ap-392	147	26	given	give	VERB
ap-392	147	27	grain	grain	NOUN
ap-392	147	28	and	and	CCONJ
ap-392	147	29	the	the	DET
ap-392	147	30	nvo	nvo	PROPN
ap-392	147	31	grains	grain	NOUN
ap-392	147	32	are	be	AUX
ap-392	147	33	in	in	ADP
ap-392	147	34	contact	contact	NOUN
ap-392	147	35	at	at	ADP
ap-392	147	36	their	their	PRON
ap-392	147	37	common	common	ADJ
ap-392	147	38	intensity	intensity	NOUN
ap-392	147	39	boundary	boundary	NOUN
ap-392	147	40	.	.	PUNCT
ap-392	148	1	thus	thus	ADV
ap-392	148	2	,	,	PUNCT
ap-392	148	3	the	the	DET
ap-392	148	4	areas	area	NOUN
ap-392	148	5	of	of	ADP
ap-392	148	6	the	the	DET
ap-392	148	7	grains	grain	NOUN
ap-392	148	8	are	be	AUX
ap-392	148	9	segmented	segment	VERB
ap-392	148	10	58	58	NUM
ap-392	148	11	with	with	ADP
ap-392	148	12	the	the	DET
ap-392	148	13	flood	flood	NOUN
ap-392	148	14	-	-	PUNCT
ap-392	148	15	growing	grow	VERB
ap-392	148	16	process	process	NOUN
ap-392	148	17	from	from	ADP
ap-392	148	18	peaks	peak	NOUN
ap-392	148	19	to	to	ADP
ap-392	148	20	intensity	intensity	NOUN
ap-392	148	21	minima	minima	NOUN
ap-392	148	22	in	in	ADP
ap-392	148	23	the	the	DET
ap-392	148	24	scope	scope	NOUN
ap-392	148	25	of	of	ADP
ap-392	148	26	the	the	DET
ap-392	148	27	grain	grain	NOUN
ap-392	148	28	with	with	ADP
ap-392	148	29	the	the	DET
ap-392	148	30	criteria	criterion	NOUN
ap-392	148	31	of	of	ADP
ap-392	148	32	decreasing	decrease	VERB
ap-392	148	33	intensity	intensity	NOUN
ap-392	148	34	.	.	PUNCT
ap-392	149	1	now	now	ADV
ap-392	149	2	we	we	PRON
ap-392	149	3	will	will	AUX
ap-392	149	4	show	show	VERB
ap-392	149	5	that	that	SCONJ
ap-392	149	6	in	in	ADP
ap-392	149	7	an	an	DET
ap-392	149	8	ideal	ideal	ADJ
ap-392	149	9	image	image	NOUN
ap-392	149	10	one	one	NUM
ap-392	149	11	area	area	NOUN
ap-392	149	12	should	should	AUX
ap-392	149	13	not	not	PART
ap-392	149	14	overlap	overlap	VERB
ap-392	149	15	another	another	DET
ap-392	149	16	area	area	NOUN
ap-392	149	17	.	.	PUNCT
ap-392	150	1	let	let	VERB
ap-392	150	2	us	we	PRON
ap-392	150	3	take	take	VERB
ap-392	150	4	a	a	DET
ap-392	150	5	particular	particular	ADJ
ap-392	150	6	grain	grain	NOUN
ap-392	150	7	(	(	PUNCT
ap-392	150	8	current	current	ADJ
ap-392	150	9	grain	grain	NOUN
ap-392	150	10	)	)	PUNCT
ap-392	150	11	.	.	PUNCT
ap-392	151	1	if	if	SCONJ
ap-392	151	2	the	the	DET
ap-392	151	3	points	point	NOUN
ap-392	151	4	of	of	ADP
ap-392	151	5	the	the	DET
ap-392	151	6	neighboring	neighboring	NOUN
ap-392	151	7	grain	grain	NOUN
ap-392	151	8	were	be	AUX
ap-392	151	9	added	add	VERB
ap-392	151	10	(	(	PUNCT
ap-392	151	11	in	in	ADP
ap-392	151	12	an	an	DET
ap-392	151	13	ideal	ideal	ADJ
ap-392	151	14	image	image	NOUN
ap-392	151	15	)	)	PUNCT
ap-392	151	16	to	to	ADP
ap-392	151	17	the	the	DET
ap-392	151	18	current	current	ADJ
ap-392	151	19	grain	grain	NOUN
ap-392	151	20	,	,	PUNCT
ap-392	151	21	the	the	DET
ap-392	151	22	intensities	intensity	NOUN
ap-392	151	23	of	of	ADP
ap-392	151	24	the	the	DET
ap-392	151	25	attached	attach	VERB
ap-392	151	26	points	point	NOUN
ap-392	151	27	would	would	AUX
ap-392	151	28	not	not	PART
ap-392	151	29	be	be	AUX
ap-392	151	30	lower	low	ADJ
ap-392	151	31	than	than	ADP
ap-392	151	32	or	or	CCONJ
ap-392	151	33	equal	equal	ADJ
ap-392	151	34	to	to	ADP
ap-392	151	35	the	the	DET
ap-392	151	36	intensities	intensity	NOUN
ap-392	151	37	in	in	ADP
ap-392	151	38	the	the	DET
ap-392	151	39	current	current	ADJ
ap-392	151	40	grain	grain	NOUN
ap-392	151	41	.	.	PUNCT
ap-392	152	1	the	the	DET
ap-392	152	2	function	function	NOUN
ap-392	152	3	of	of	ADP
ap-392	152	4	intensity	intensity	NOUN
ap-392	152	5	between	between	ADP
ap-392	152	6	the	the	DET
ap-392	152	7	peak	peak	NOUN
ap-392	152	8	and	and	CCONJ
ap-392	152	9	the	the	DET
ap-392	152	10	boundary	boundary	NOUN
ap-392	152	11	would	would	AUX
ap-392	152	12	not	not	PART
ap-392	152	13	decrease	decrease	VERB
ap-392	152	14	,	,	PUNCT
ap-392	152	15	but	but	CCONJ
ap-392	152	16	it	it	PRON
ap-392	152	17	would	would	AUX
ap-392	152	18	rise	rise	VERB
ap-392	152	19	,	,	PUNCT
ap-392	152	20	and	and	CCONJ
ap-392	152	21	this	this	DET
ap-392	152	22	fact	fact	NOUN
ap-392	152	23	would	would	AUX
ap-392	152	24	be	be	AUX
ap-392	152	25	contradictory	contradictory	ADJ
ap-392	152	26	to	to	ADP
ap-392	152	27	the	the	DET
ap-392	152	28	assumptions	assumption	NOUN
ap-392	152	29	and	and	CCONJ
ap-392	152	30	to	to	ADP
ap-392	152	31	the	the	DET
ap-392	152	32	implementation	implementation	NOUN
ap-392	152	33	of	of	ADP
ap-392	152	34	the	the	DET
ap-392	152	35	algorithm	algorithm	NOUN
ap-392	152	36	.	.	PUNCT
ap-392	153	1	another	another	DET
ap-392	153	2	benefit	benefit	NOUN
ap-392	153	3	for	for	ADP
ap-392	153	4	the	the	DET
ap-392	153	5	algorithm	algorithm	NOUN
ap-392	153	6	is	be	AUX
ap-392	153	7	that	that	SCONJ
ap-392	153	8	the	the	DET
ap-392	153	9	meeting	meeting	NOUN
ap-392	153	10	of	of	ADP
ap-392	153	11	two	two	NUM
ap-392	153	12	-	-	PUNCT
ap-392	153	13	grain	grain	NOUN
ap-392	153	14	regions	region	NOUN
ap-392	153	15	is	be	AUX
ap-392	153	16	at	at	ADP
ap-392	153	17	the	the	DET
ap-392	153	18	boundary	boundary	NOUN
ap-392	153	19	where	where	SCONJ
ap-392	153	20	the	the	DET
ap-392	153	21	intensities	intensity	NOUN
ap-392	153	22	are	be	AUX
ap-392	153	23	equal	equal	ADJ
ap-392	153	24	to	to	ADP
ap-392	153	25	a	a	DET
ap-392	153	26	value	value	NOUN
ap-392	153	27	of	of	ADP
ap-392	153	28	globlnt	globlnt	NOUN
ap-392	153	29	.	.	PUNCT
ap-392	154	1	all	all	DET
ap-392	154	2	neighboring	neighboring	NOUN
ap-392	154	3	points	point	NOUN
ap-392	154	4	have	have	VERB
ap-392	154	5	a	a	DET
ap-392	154	6	higher	high	ADJ
ap-392	154	7	intensity	intensity	NOUN
ap-392	154	8	,	,	PUNCT
ap-392	154	9	so	so	SCONJ
ap-392	154	10	that	that	SCONJ
ap-392	154	11	at	at	ADP
ap-392	154	12	the	the	DET
ap-392	154	13	time	time	NOUN
ap-392	154	14	when	when	SCONJ
ap-392	154	15	the	the	DET
ap-392	154	16	boundary	boundary	NOUN
ap-392	154	17	is	be	AUX
ap-392	154	18	reached	reach	VERB
ap-392	154	19	,	,	PUNCT
ap-392	154	20	the	the	DET
ap-392	154	21	neighboring	neighboring	NOUN
ap-392	154	22	points	point	NOUN
ap-392	154	23	have	have	AUX
ap-392	154	24	been	be	AUX
ap-392	154	25	added	add	VERB
ap-392	154	26	to	to	ADP
ap-392	154	27	an	an	DET
ap-392	154	28	area	area	NOUN
ap-392	154	29	,	,	PUNCT
ap-392	154	30	and	and	CCONJ
ap-392	154	31	they	they	PRON
ap-392	154	32	can	can	AUX
ap-392	154	33	not	not	PART
ap-392	154	34	be	be	AUX
ap-392	154	35	added	add	VERB
ap-392	154	36	to	to	ADP
ap-392	154	37	another	another	DET
ap-392	154	38	area	area	NOUN
ap-392	154	39	(	(	PUNCT
ap-392	154	40	at	at	ADP
ap-392	154	41	least	least	ADJ
ap-392	154	42	in	in	ADP
ap-392	154	43	an	an	DET
ap-392	154	44	ideal	ideal	ADJ
ap-392	154	45	image	image	NOUN
ap-392	154	46	)	)	PUNCT
ap-392	154	47	.	.	PUNCT
ap-392	155	1	a	a	DET
ap-392	155	2	real	real	ADJ
ap-392	155	3	input	input	NOUN
ap-392	155	4	image	image	NOUN
ap-392	155	5	can	can	AUX
ap-392	155	6	contain	contain	VERB
ap-392	155	7	small	small	ADJ
ap-392	155	8	mistakes	mistake	NOUN
ap-392	155	9	in	in	ADP
ap-392	155	10	the	the	DET
ap-392	155	11	course	course	NOUN
ap-392	155	12	of	of	ADP
ap-392	155	13	the	the	DET
ap-392	155	14	intensity	intensity	NOUN
ap-392	155	15	function	function	NOUN
ap-392	155	16	.	.	PUNCT
ap-392	156	1	as	as	SCONJ
ap-392	156	2	globlnt	globlnt	NOUN
ap-392	156	3	ranges	range	VERB
ap-392	156	4	from	from	ADP
ap-392	156	5	255	255	NUM
ap-392	156	6	to	to	ADP
ap-392	156	7	0	0	NUM
ap-392	156	8	and	and	CCONJ
ap-392	156	9	as	as	SCONJ
ap-392	156	10	each	each	DET
ap-392	156	11	point	point	NOUN
ap-392	156	12	in	in	ADP
ap-392	156	13	the	the	DET
ap-392	156	14	image	image	NOUN
ap-392	156	15	is	be	AUX
ap-392	156	16	tested	test	VERB
ap-392	156	17	to	to	PART
ap-392	156	18	be	be	AUX
ap-392	156	19	a	a	DET
ap-392	156	20	neighbor	neighbor	NOUN
ap-392	156	21	with	with	ADP
ap-392	156	22	an	an	DET
ap-392	156	23	intensity	intensity	NOUN
ap-392	156	24	equal	equal	ADJ
ap-392	156	25	to	to	ADP
ap-392	156	26	the	the	DET
ap-392	156	27	globlntvalue	globlntvalue	NOUN
ap-392	156	28	ofan	ofan	NOUN
ap-392	156	29	existing	exist	VERB
ap-392	156	30	region	region	NOUN
ap-392	156	31	ofa	ofa	PROPN
ap-392	156	32	grain	grain	NOUN
ap-392	156	33	(	(	PUNCT
ap-392	156	34	in	in	ADP
ap-392	156	35	each	each	DET
ap-392	156	36	phase	phase	NOUN
ap-392	156	37	of	of	ADP
ap-392	156	38	the	the	DET
ap-392	156	39	cycle	cycle	NOUN
ap-392	156	40	,	,	PUNCT
ap-392	156	41	if	if	SCONJ
ap-392	156	42	the	the	DET
ap-392	156	43	point	point	NOUN
ap-392	156	44	is	be	AUX
ap-392	156	45	not	not	PART
ap-392	156	46	yet	yet	ADV
ap-392	156	47	a	a	DET
ap-392	156	48	member	member	NOUN
ap-392	156	49	of	of	ADP
ap-392	156	50	a	a	DET
ap-392	156	51	region	region	NOUN
ap-392	156	52	)	)	PUNCT
ap-392	156	53	,	,	PUNCT
ap-392	156	54	at	at	ADP
ap-392	156	55	last	last	ADJ
ap-392	156	56	at	at	ADP
ap-392	156	57	globlnt	globlnt	NOUN
ap-392	157	1	=	=	SYM
ap-392	157	2	i	i	PRON
ap-392	157	3	each	each	DET
ap-392	157	4	point	point	NOUN
ap-392	157	5	(	(	PUNCT
ap-392	157	6	with	with	ADP
ap-392	157	7	an	an	DET
ap-392	157	8	intensity	intensity	NOUN
ap-392	157	9	different	different	ADJ
ap-392	157	10	fmm	fmm	PROPN
ap-392	157	11	0	0	NUM
ap-392	157	12	)	)	PUNCT
ap-392	157	13	must	must	AUX
ap-392	157	14	be	be	AUX
ap-392	157	15	added	add	VERB
ap-392	157	16	to	to	ADP
ap-392	157	17	the	the	DET
ap-392	157	18	region	region	NOUN
ap-392	157	19	of	of	ADP
ap-392	157	20	the	the	DET
ap-392	157	21	current	current	ADJ
ap-392	157	22	grain	grain	NOUN
ap-392	157	23	.	.	PUNCT
ap-392	158	1	points	point	NOUN
ap-392	158	2	with	with	ADP
ap-392	158	3	zero	zero	NUM
ap-392	158	4	intensity	intensity	NOUN
ap-392	158	5	are	be	AUX
ap-392	158	6	taken	take	VERB
ap-392	158	7	for	for	ADP
ap-392	158	8	the	the	DET
ap-392	158	9	background	background	NOUN
ap-392	158	10	of	of	ADP
ap-392	158	11	the	the	DET
ap-392	158	12	image	image	NOUN
ap-392	158	13	.	.	PUNCT
ap-392	159	1	iig	iig	PROPN
ap-392	159	2	.	.	PROPN
ap-392	160	1	13	13	NUM
ap-392	160	2	shows	show	VERB
ap-392	160	3	the	the	DET
ap-392	160	4	output	output	NOUN
ap-392	160	5	of	of	ADP
ap-392	160	6	this	this	DET
ap-392	160	7	step	step	NOUN
ap-392	160	8	of	of	ADP
ap-392	160	9	the	the	DET
ap-392	160	10	algorithm	algorithm	NOUN
ap-392	160	11	.	.	PUNCT
ap-392	161	1	fig	fig	NOUN
ap-392	161	2	.	.	PUNCT
ap-392	162	1	l3	l3	NOUN
ap-392	162	2	:	:	PUNCT
ap-392	162	3	boundaries	boundary	NOUN
ap-392	162	4	between	between	ADP
ap-392	162	5	areas	area	NOUN
ap-392	162	6	(	(	PUNCT
ap-392	162	7	involving	involve	VERB
ap-392	162	8	artificial	artificial	ADJ
ap-392	162	9	boundaries	boundary	NOUN
ap-392	162	10	)	)	PUNCT
ap-392	162	11	linking	link	VERB
ap-392	162	12	of	of	ADP
ap-392	162	13	segments	segment	NOUN
ap-392	162	14	of	of	ADP
ap-392	162	15	grains	grain	NOUN
ap-392	162	16	(	(	PUNCT
ap-392	162	17	in	in	ADP
ap-392	162	18	the	the	DET
ap-392	162	19	serue	serue	NOUN
ap-392	162	20	of	of	ADP
ap-392	162	21	specifed	specifed	PROPN
ap-392	162	22	criteria	criterion	NOUN
ap-392	162	23	)	)	PUNCT
ap-392	162	24	due	due	ADP
ap-392	162	25	to	to	ADP
ap-392	162	26	technical	technical	ADJ
ap-392	162	27	imperfections	imperfection	NOUN
ap-392	162	28	of	of	ADP
ap-392	162	29	the	the	DET
ap-392	162	30	scanning	scanning	NOUN
ap-392	162	31	microscope	microscope	NOUN
ap-392	162	32	,	,	PUNCT
ap-392	162	33	there	there	PRON
ap-392	162	34	are	be	VERB
ap-392	162	35	many	many	ADJ
ap-392	162	36	artificial	artificial	ADJ
ap-392	162	37	local	local	ADJ
ap-392	162	38	intensity	intensity	NOUN
ap-392	162	39	peaks	peak	NOUN
ap-392	162	40	in	in	ADP
ap-392	162	41	the	the	DET
ap-392	162	42	input	input	NOUN
ap-392	162	43	image	image	NOUN
ap-392	162	44	.	.	PUNCT
ap-392	163	1	for	for	ADP
ap-392	163	2	this	this	DET
ap-392	163	3	reason	reason	NOUN
ap-392	163	4	,	,	PUNCT
ap-392	163	5	the	the	DET
ap-392	163	6	algorithm	algorithm	NOUN
ap-392	163	7	finds	find	VERB
ap-392	163	8	more	more	ADJ
ap-392	163	9	areas	area	NOUN
ap-392	163	10	than	than	SCONJ
ap-392	163	11	desired	desire	VERB
ap-392	163	12	(	(	PUNCT
ap-392	163	13	corresponding	correspond	VERB
ap-392	163	14	to	to	ADP
ap-392	163	15	realiry	realiry	NOUN
ap-392	163	16	)	)	PUNCT
ap-392	163	17	.	.	PUNCT
ap-392	164	1	calculations	calculation	NOUN
ap-392	164	2	of	of	ADP
ap-392	164	3	the	the	DET
ap-392	164	4	algorithm	algorithm	NOUN
ap-392	164	5	can	can	AUX
ap-392	164	6	divide	divide	VERB
ap-392	164	7	the	the	DET
ap-392	164	8	region	region	NOUN
ap-392	164	9	of	of	ADP
ap-392	164	10	the	the	DET
ap-392	164	11	grain	grain	NOUN
ap-392	164	12	into	into	ADP
ap-392	164	13	several	several	ADJ
ap-392	164	14	smaller	small	ADJ
ap-392	164	15	areas	area	NOUN
ap-392	164	16	.	.	PUNCT
ap-392	165	1	from	from	ADP
ap-392	165	2	the	the	DET
ap-392	165	3	previous	previous	ADJ
ap-392	165	4	text	text	NOUN
ap-392	165	5	we	we	PRON
ap-392	165	6	know	know	VERB
ap-392	165	7	that	that	SCONJ
ap-392	165	8	in	in	ADP
ap-392	165	9	the	the	DET
ap-392	165	10	range	range	NOUN
ap-392	165	11	of	of	ADP
ap-392	165	12	one	one	NUM
ap-392	165	13	grain	grain	NOUN
ap-392	165	14	the	the	DET
ap-392	165	15	average	average	ADJ
ap-392	165	16	intensity	intensity	NOUN
ap-392	165	17	of	of	ADP
ap-392	165	18	the	the	DET
ap-392	165	19	points	point	NOUN
ap-392	165	20	inside	inside	ADP
ap-392	165	21	the	the	DET
ap-392	165	22	region	region	NOUN
ap-392	165	23	ofthe	ofthe	ADJ
ap-392	165	24	grain	grain	NOUN
ap-392	165	25	is	be	AUX
ap-392	165	26	greater	great	ADJ
ap-392	165	27	than	than	ADP
ap-392	165	28	the	the	DET
ap-392	165	29	average	average	ADJ
ap-392	165	30	intensity	intensity	NOUN
ap-392	165	31	on	on	ADP
ap-392	165	32	the	the	DET
ap-392	165	33	boundary	boundary	NOUN
ap-392	165	34	of	of	ADP
ap-392	165	35	the	the	DET
ap-392	165	36	grain	grain	NOUN
ap-392	165	37	,	,	PUNCT
ap-392	165	38	and	and	CCONJ
ap-392	165	39	is	be	AUX
ap-392	165	40	lower	low	ADJ
ap-392	165	41	than	than	ADP
ap-392	165	42	the	the	DET
ap-392	165	43	intensity	intensity	NOUN
ap-392	165	44	of	of	ADP
ap-392	165	45	the	the	DET
ap-392	165	46	peak	peak	NOUN
ap-392	165	47	.	.	PUNCT
ap-392	166	1	because	because	SCONJ
ap-392	166	2	ofthe	ofthe	NOUN
ap-392	166	3	assumed	assume	VERB
ap-392	166	4	oval	oval	NOUN
ap-392	166	5	shape	shape	NOUN
ap-392	166	6	of	of	ADP
ap-392	166	7	the	the	DET
ap-392	166	8	grains	grain	NOUN
ap-392	166	9	and	and	CCONJ
ap-392	166	10	the	the	DET
ap-392	166	11	application	application	NOUN
ap-392	166	12	of	of	ADP
ap-392	166	13	"	"	PUNCT
ap-392	166	14	local	local	ADJ
ap-392	166	15	equalization	equalization	NOUN
ap-392	166	16	"	"	PUNCT
ap-392	166	17	on	on	ADP
ap-392	166	18	the	the	DET
ap-392	166	19	image	image	NOUN
ap-392	166	20	it	it	PRON
ap-392	166	21	is	be	AUX
ap-392	166	22	possible	possible	ADJ
ap-392	166	23	to	to	PART
ap-392	166	24	determine	determine	VERB
ap-392	166	25	,	,	PUNCT
ap-392	166	26	from	from	ADP
ap-392	166	27	the	the	DET
ap-392	166	28	intensities	intensity	NOUN
ap-392	166	29	of	of	ADP
ap-392	166	30	the	the	DET
ap-392	166	31	areas	area	NOUN
ap-392	166	32	boundaries	boundary	NOUN
ap-392	166	33	,	,	PUNCT
ap-392	166	34	whether	whether	SCONJ
ap-392	166	35	the	the	DET
ap-392	166	36	boundary	boundary	NOUN
ap-392	166	37	between	between	ADP
ap-392	166	38	two	two	NUM
ap-392	166	39	areas	area	NOUN
ap-392	166	40	is	be	AUX
ap-392	166	41	artificial	artificial	ADJ
ap-392	166	42	.	.	PUNCT
ap-392	167	1	the	the	DET
ap-392	167	2	algorithm	algorithm	NOUN
ap-392	167	3	and	and	CCONJ
ap-392	167	4	the	the	DET
ap-392	167	5	criteria	criterion	NOUN
ap-392	167	6	can	can	AUX
ap-392	167	7	be	be	AUX
ap-392	167	8	categorized	categorize	VERB
ap-392	167	9	as	as	SCONJ
ap-392	167	10	follows	follow	VERB
ap-392	167	11	:	:	PUNCT
ap-392	167	12	l.	l.	PROPN
ap-392	167	13	first	first	ADV
ap-392	167	14	,	,	PUNCT
ap-392	167	15	two	two	NUM
ap-392	167	16	areas	area	NOUN
ap-392	167	17	are	be	AUX
ap-392	167	18	found	find	VERB
ap-392	167	19	in	in	ADP
ap-392	167	20	such	such	DET
ap-392	167	21	a	a	DET
ap-392	167	22	way	way	NOUN
ap-392	167	23	that	that	PRON
ap-392	167	24	they	they	PRON
ap-392	167	25	comply	comply	VERB
ap-392	167	26	best	well	ADV
ap-392	167	27	with	with	ADP
ap-392	167	28	the	the	DET
ap-392	167	29	following	follow	VERB
ap-392	167	30	criterion	criterion	NOUN
ap-392	167	31	.	.	PUNCT
ap-392	168	1	this	this	PRON
ap-392	168	2	is	be	AUX
ap-392	168	3	the	the	DET
ap-392	168	4	basic	basic	ADJ
ap-392	168	5	criterion	criterion	NOUN
ap-392	168	6	for	for	ADP
ap-392	168	7	linking	link	VERB
ap-392	168	8	the	the	DET
ap-392	168	9	segment	segment	NOUN
ap-392	168	10	areas	area	NOUN
ap-392	168	11	of	of	ADP
ap-392	168	12	the	the	DET
ap-392	168	13	grains	grain	NOUN
ap-392	168	14	.	.	PUNCT
ap-392	169	1	for	for	ADP
ap-392	169	2	each	each	DET
ap-392	169	3	n',ro	n',ro	ADJ
ap-392	169	4	areas	area	NOUN
ap-392	169	5	,	,	PUNCT
ap-392	169	6	the	the	DET
ap-392	169	7	intensities	intensity	NOUN
ap-392	169	8	of	of	ADP
ap-392	169	9	all	all	DET
ap-392	169	10	points	point	NOUN
ap-392	169	11	on	on	ADP
ap-392	169	12	their	their	PRON
ap-392	169	13	shared	share	VERB
ap-392	169	14	boundacta	boundacta	NOUN
ap-392	169	15	polytechnica	polytechnica	PROPN
ap-392	169	16	vol	vol	NOUN
ap-392	169	17	.	.	PUNCT
ap-392	170	1	43	43	NUM
ap-392	170	2	no	no	INTJ
ap-392	170	3	.	.	PUNCT
ap-392	171	1	llz00z	llz00z	PROPN
ap-392	171	2	3v	3v	NUM
ap-392	171	3	(	(	PUNCT
ap-392	171	4	on	on	ADP
ap-392	171	5	the	the	DET
ap-392	171	6	boundary	boundary	ADJ
ap-392	171	7	belonging	belong	VERB
ap-392	171	8	ro	ro	NOUN
ap-392	171	9	one	one	NUM
ap-392	171	10	grain	grain	NOUN
ap-392	171	11	and	and	CCONJ
ap-392	171	12	on	on	ADP
ap-392	171	13	the	the	DET
ap-392	171	14	boundart	boundart	NOUN
ap-392	171	15	belonging	belong	VERB
ap-392	171	16	to	to	ADP
ap-392	171	17	the	the	DET
ap-392	171	18	othir	othir	ADJ
ap-392	171	19	grain	grain	NOUN
ap-392	171	20	)	)	PUNCT
ap-392	171	21	are	be	AUX
ap-392	171	22	received	receive	VERB
ap-392	171	23	and	and	CCONJ
ap-392	171	24	the	the	DET
ap-392	171	25	average	average	NOUN
ap-392	171	26	of	of	ADP
ap-392	171	27	all	all	DET
ap-392	171	28	the	the	DET
ap-392	171	29	intensities	intensity	NOUN
ap-392	171	30	ls	ls	NOUN
ap-392	171	31	calculated	calculate	VERB
ap-392	171	32	.	.	PUNCT
ap-392	172	1	the	the	DET
ap-392	172	2	two	two	NUM
ap-392	172	3	areas.thar	areas.thar	NOUN
ap-392	172	4	have	have	VERB
ap-392	172	5	the	the	DET
ap-392	172	6	highest	high	ADJ
ap-392	172	7	average	average	ADJ
ap-392	172	8	comply	comply	NOUN
ap-392	172	9	best	well	ADV
ap-392	172	10	with	with	ADP
ap-392	172	11	the	the	DET
ap-392	172	12	crlterlon	crlterlon	NOUN
ap-392	172	13	.	.	PUNCT
ap-392	173	1	this	this	DET
ap-392	173	2	highest	high	ADJ
ap-392	173	3	average	average	NOUN
ap-392	173	4	is	be	AUX
ap-392	173	5	considered	consider	VERB
ap-392	173	6	and	and	CCONJ
ap-392	173	7	compared	compare	VERB
ap-392	173	8	with	with	ADP
ap-392	173	9	the	the	DET
ap-392	173	10	experimentally	experimentally	ADV
ap-392	173	11	given	give	VERB
ap-392	173	12	consranr	consranr	PROPN
ap-392	173	13	limir	limir	PROPN
ap-392	173	14	.	.	PUNCT
ap-392	174	1	this	this	DET
ap-392	174	2	limit	limit	NOUN
ap-392	174	3	determines	determine	VERB
ap-392	174	4	the	the	DET
ap-392	174	5	value	value	NOUN
ap-392	174	6	of	of	ADP
ap-392	174	7	the	the	DET
ap-392	174	8	average	average	NOUN
ap-392	174	9	when	when	SCONJ
ap-392	174	10	linking	link	VERB
ap-392	174	11	two	two	NUM
ap-392	174	12	areas	area	NOUN
ap-392	174	13	(	(	PUNCT
ap-392	174	14	with	with	ADP
ap-392	174	15	the	the	DET
ap-392	174	16	boundary	boundary	ADJ
ap-392	174	17	average	average	NOUN
ap-392	174	18	above	above	ADP
ap-392	174	19	the	the	DET
ap-392	174	20	limit	limit	NOUN
ap-392	174	21	)	)	PUNCT
ap-392	174	22	and	and	CCONJ
ap-392	174	23	not	not	PART
ap-392	174	24	link	link	VERB
ap-392	174	25	_	_	PRON
ap-392	174	26	ing	ing	ADJ
ap-392	174	27	(	(	PUNCT
ap-392	174	28	with	with	ADP
ap-392	174	29	the	the	DET
ap-392	174	30	boundary	boundary	ADJ
ap-392	174	31	average	average	NOUN
ap-392	174	32	below	below	ADP
ap-392	174	33	the	the	DET
ap-392	174	34	limit	limit	NOUN
ap-392	174	35	)	)	PUNCT
ap-392	174	36	.	.	PUNCT
ap-392	175	1	if	if	SCONJ
ap-392	175	2	rhe	rhe	NOUN
ap-392	175	3	highest	high	ADJ
ap-392	175	4	average	average	NOUN
ap-392	175	5	is	be	AUX
ap-392	175	6	lower	low	ADJ
ap-392	175	7	than	than	ADP
ap-392	175	8	this	this	DET
ap-392	175	9	limit	limit	NOUN
ap-392	175	10	,	,	PUNCT
ap-392	175	11	the	the	DET
ap-392	175	12	aleorithm	aleorithm	PROPN
ap-392	175	13	is	be	AUX
ap-392	175	14	stopped	stop	VERB
ap-392	175	15	,	,	PUNCT
ap-392	175	16	as	as	SCONJ
ap-392	175	17	the	the	DET
ap-392	175	18	other	other	ADJ
ap-392	175	19	lower	low	ADJ
ap-392	175	20	averages	average	NOUN
ap-392	175	21	are	be	AUX
ap-392	175	22	also	also	ADV
ap-392	175	23	lower	low	ADJ
ap-392	175	24	than	than	ADP
ap-392	175	25	the	the	DET
ap-392	175	26	limit	limit	NOUN
ap-392	175	27	.	.	PUNCT
ap-392	176	1	as	as	ADV
ap-392	176	2	long	long	ADV
ap-392	176	3	as	as	SCONJ
ap-392	176	4	the	the	DET
ap-392	176	5	average	average	NOUN
ap-392	176	6	ijgrearer	ijgrear	ADJ
ap-392	176	7	than	than	ADP
ap-392	176	8	the	the	DET
ap-392	176	9	limit	limit	NOUN
ap-392	176	10	,	,	PUNCT
ap-392	176	11	the	the	DET
ap-392	176	12	algorithm	algorithm	NOUN
ap-392	176	13	passes	pass	VERB
ap-392	176	14	to	to	ADP
ap-392	176	15	the	the	DET
ap-392	176	16	next	next	ADJ
ap-392	176	17	step	step	NOUN
ap-392	176	18	.	.	PUNCT
ap-392	177	1	the	the	DET
ap-392	177	2	determination	determination	NOUN
ap-392	177	3	of	of	ADP
ap-392	177	4	the	the	DET
ap-392	177	5	limit	limit	NOUN
ap-392	177	6	based	base	VERB
ap-392	177	7	on	on	ADP
ap-392	177	8	experimental	experimental	ADJ
ap-392	177	9	observations	observation	NOUN
ap-392	177	10	is	be	AUX
ap-392	177	11	without	without	ADP
ap-392	177	12	loss	loss	NOUN
ap-392	177	13	of	of	ADP
ap-392	177	14	generality	generality	NOUN
ap-392	177	15	,	,	PUNCT
ap-392	177	16	as	as	SCONJ
ap-392	177	17	unificarion	unificarion	NOUN
ap-392	177	18	(	(	PUNCT
ap-392	177	19	with	with	ADP
ap-392	177	20	the	the	DET
ap-392	177	21	help	help	NOUN
ap-392	177	22	of	of	ADP
ap-392	177	23	.,local	.,local	PROPN
ap-392	177	24	equalization	equalization	NOUN
ap-392	177	25	"	"	PUNCT
ap-392	177	26	)	)	PUNCT
ap-392	177	27	of	of	ADP
ap-392	177	28	important	important	ADJ
ap-392	177	29	intensities	intensity	NOUN
ap-392	177	30	in	in	ADP
ap-392	177	31	the	the	DET
ap-392	177	32	siope	siope	NOUN
ap-392	177	33	of	of	ADP
ap-392	177	34	the	the	DET
ap-392	177	35	grain	grain	NOUN
ap-392	177	36	does	do	AUX
ap-392	177	37	not	not	PART
ap-392	177	38	grearly	grearly	ADV
ap-392	177	39	depend	depend	VERB
ap-392	177	40	on	on	ADP
ap-392	177	41	rhe	rhe	NOUN
ap-392	177	42	given	give	VERB
ap-392	177	43	imagc	imagc	NOUN
ap-392	177	44	.	.	PUNCT
ap-392	178	1	finally	finally	ADV
ap-392	178	2	,	,	PUNCT
ap-392	178	3	the	the	DET
ap-392	178	4	auxiliary	auxiliary	ADJ
ap-392	178	5	crirerion	crirerion	NOUN
ap-392	178	6	for	for	ADP
ap-392	178	7	linking	link	VERB
ap-392	178	8	rhe	rhe	ADJ
ap-392	178	9	sesment	sesment	NOUN
ap-392	178	10	arcas	arcas	NOUN
ap-392	178	11	of	of	ADP
ap-392	178	12	the	the	DET
ap-392	178	13	grains	grain	NOUN
ap-392	178	14	is	be	AUX
ap-392	178	15	tested	test	VERB
ap-392	178	16	.	.	PUNCT
ap-392	179	1	'	'	PUNCT
ap-392	179	2	l'he	l'he	NOUN
ap-392	179	3	points	point	VERB
ap-392	179	4	on	on	ADP
ap-392	179	5	the	the	DET
ap-392	179	6	c.irmon	c.irmon	ADJ
ap-392	179	7	bour"rdary	bour"rdary	NOUN
ap-392	179	8	of	of	ADP
ap-392	179	9	the	the	DET
ap-392	179	10	two	two	NUM
ap-392	179	11	selected	select	VERB
ap-392	179	12	areas	area	NOUN
ap-392	179	13	of	of	ADP
ap-392	179	14	the	the	DET
ap-392	179	15	srains	srain	NOUN
ap-392	179	16	are	be	AUX
ap-392	179	17	considered	consider	VERB
ap-392	179	18	,	,	PUNCT
ap-392	179	19	and	and	CCONJ
ap-392	179	20	the	the	DET
ap-392	179	21	averages	average	NOUN
ap-392	179	22	of	of	ADP
ap-392	179	23	the	the	DET
ap-392	179	24	intensities	intensity	NOUN
ap-392	179	25	of	of	ADP
ap-392	179	26	their	their	PRON
ap-392	179	27	boundary	boundary	ADJ
ap-392	179	28	points	point	NOUN
ap-392	179	29	for	for	ADP
ap-392	179	30	each	each	DET
ap-392	179	31	area	area	NOUN
ap-392	179	32	are	be	AUX
ap-392	179	33	nol	nol	NOUN
ap-392	179	34	{	{	PUNCT
ap-392	179	35	calculated	calculate	VERB
ap-392	179	36	separately	separately	ADV
ap-392	179	37	.	.	PUNCT
ap-392	180	1	as	as	SCONJ
ap-392	180	2	each	each	DET
ap-392	180	3	grain	grain	NOUN
ap-392	180	4	has	have	VERB
ap-392	180	5	its	its	PRON
ap-392	180	6	own	own	ADJ
ap-392	180	7	boundary	boundary	NOUN
ap-392	180	8	,	,	PUNCT
ap-392	180	9	the	the	DET
ap-392	180	10	boundary	boundary	ADJ
ap-392	180	11	benteen	benteen	ADJ
ap-392	180	12	two	two	NUM
ap-392	180	13	grains	grain	NOUN
ap-392	180	14	is	be	AUX
ap-392	180	15	double	double	ADV
ap-392	180	16	pixeled	pixeled	ADJ
ap-392	180	17	.	.	PUNCT
ap-392	181	1	one	one	NUM
ap-392	181	2	boundary	boundary	NOUN
ap-392	181	3	belongs	belong	VERB
ap-392	181	4	to	to	ADP
ap-392	181	5	one	one	NUM
ap-392	181	6	grain	grain	NOUN
ap-392	181	7	and	and	CCONJ
ap-392	181	8	the	the	DET
ap-392	181	9	second	second	ADJ
ap-392	181	10	to	to	ADP
ap-392	181	11	the	the	DET
ap-392	181	12	other	other	ADJ
ap-392	181	13	grain	grain	NOUN
ap-392	181	14	.	.	PUNCT
ap-392	182	1	in	in	ADP
ap-392	182	2	section	section	NOUN
ap-392	182	3	i	i	PRON
ap-392	182	4	,	,	PUNCT
ap-392	182	5	the	the	DET
ap-392	182	6	average	average	NOUN
ap-392	182	7	is	be	AUX
ap-392	182	8	calculated	calculate	VERB
ap-392	182	9	together	together	ADV
ap-392	182	10	.	.	PUNCT
ap-392	183	1	the	the	DET
ap-392	183	2	two	two	NUM
ap-392	183	3	averages	average	NOUN
ap-392	183	4	are	be	AUX
ap-392	183	5	compared	compare	VERB
ap-392	183	6	.	.	PUNCT
ap-392	184	1	if	if	SCONJ
ap-392	184	2	the	the	DET
ap-392	184	3	values	value	NOUN
ap-392	184	4	of	of	ADP
ap-392	184	5	the	the	DET
ap-392	184	6	averages	average	NOUN
ap-392	184	7	are	be	AUX
ap-392	184	8	similar	similar	ADJ
ap-392	184	9	,	,	PUNCT
ap-392	184	10	the	the	DET
ap-392	184	11	two	two	NUM
ap-392	184	12	areas	area	NOUN
ap-392	184	13	are	be	AUX
ap-392	184	14	linked	link	VERB
ap-392	184	15	to	to	ADP
ap-392	184	16	a	a	DET
ap-392	184	17	single	single	ADJ
ap-392	184	18	area	area	NOUN
ap-392	184	19	and	and	CCONJ
ap-392	184	20	the	the	DET
ap-392	184	21	algorithm	algorithm	NOUN
ap-392	184	22	returns	return	VERB
ap-392	184	23	to	to	ADP
ap-392	184	24	section	section	NOUN
ap-392	184	25	l.	l.	PROPN
ap-392	184	26	if	if	SCONJ
ap-392	184	27	the	the	DET
ap-392	184	28	"	"	PUNCT
ap-392	184	29	aiues	aiue	NOUN
ap-392	184	30	of	of	ADP
ap-392	184	31	rhe	rhe	NOUN
ap-392	184	32	averages	average	NOUN
ap-392	184	33	are	be	AUX
ap-392	184	34	different	different	ADJ
ap-392	184	35	,	,	PUNCT
ap-392	184	36	"	"	PUNCT
ap-392	184	37	local	local	ADJ
ap-392	184	38	equalization	equalization	NOUN
ap-392	184	39	"	"	PUNCT
ap-392	184	40	fails	fail	VERB
ap-392	184	41	and	and	CCONJ
ap-392	184	42	these	these	DET
ap-392	184	43	areas	area	NOUN
ap-392	184	44	should	should	AUX
ap-392	184	45	not	not	PART
ap-392	184	46	be	be	AUX
ap-392	184	47	linked	link	VERB
ap-392	184	48	.	.	PUNCT
ap-392	185	1	-l'he	-l'he	PROPN
ap-392	185	2	{	{	PUNCT
ap-392	185	3	act	act	NOUN
ap-392	185	4	that	that	SCONJ
ap-392	185	5	these	these	PRON
ap-392	185	6	t$	t$	VERB
ap-392	185	7	,	,	PUNCT
ap-392	185	8	(	(	PUNCT
ap-392	185	9	)	)	PUNCT
ap-392	185	10	areas	area	NOUN
ap-392	185	11	are	be	AUX
ap-392	185	12	not	not	PART
ap-392	185	13	to	to	PART
ap-392	185	14	be	be	AUX
ap-392	185	15	selected	select	VERB
ap-392	185	16	in	in	ADP
ap-392	185	17	tl	tl	PROPN
ap-392	185	18	-	-	PUNCT
ap-392	185	19	re	re	NOUN
ap-392	185	20	fbllou'ing	fbllou'e	VERB
ap-392	185	21	stages	stage	NOUN
ap-392	185	22	is	be	AUX
ap-392	185	23	marked	mark	VERB
ap-392	185	24	in	in	ADP
ap-392	185	25	the	the	DET
ap-392	185	26	memory	memory	NOUN
ap-392	185	27	,	,	PUNCT
ap-392	185	28	and	and	CCONJ
ap-392	185	29	the	the	DET
ap-392	185	30	algorithm	algorithm	NOUN
ap-392	185	31	rerurns	rerurn	NOUN
ap-392	185	32	to	to	ADP
ap-392	185	33	section	section	PROPN
ap-392	185	34	l.	l.	PROPN
ap-392	185	35	l	l	PROPN
ap-392	185	36	-	-	PROPN
ap-392	185	37	ig	ig	PROPN
ap-392	185	38	.	.	PROPN
ap-392	185	39	14	14	NUM
ap-392	185	40	is	be	AUX
ap-392	185	41	a	a	DET
ap-392	185	42	sketch	sketch	NOUN
ap-392	185	43	of	of	ADP
ap-392	185	44	the	the	DET
ap-392	185	45	fir.ral	fir.ral	ADJ
ap-392	185	46	grain	grain	NOUN
ap-392	185	47	boundaries	boundary	NOUN
ap-392	185	48	.	.	PUNCT
ap-392	186	1	6.1	6.1	NUM
ap-392	186	2	method	method	NOUN
ap-392	186	3	of	of	ADP
ap-392	186	4	description	description	NOUN
ap-392	186	5	of	of	ADP
ap-392	186	6	the	the	DET
ap-392	186	7	local	local	ADJ
ap-392	186	8	curaature	curaature	NOUN
ap-392	186	9	of	of	ADP
ap-392	186	10	grain	grain	NOUN
ap-392	186	11	boundaries	boundary	NOUN
ap-392	186	12	this	this	DET
ap-392	186	13	method	method	NOUN
ap-392	186	14	assumes	assume	VERB
ap-392	186	15	that	that	SCONJ
ap-392	186	16	grains	grain	NOUN
ap-392	186	17	can	can	AUX
ap-392	186	18	be	be	AUX
ap-392	186	19	approximated	approximate	VERB
ap-392	186	20	by	by	ADP
ap-392	186	21	spheres	sphere	NOUN
ap-392	186	22	.	.	PUNCT
ap-392	187	1	in	in	ADP
ap-392	187	2	this	this	DET
ap-392	187	3	method	method	NOUN
ap-392	187	4	,	,	PUNCT
ap-392	187	5	the	the	DET
ap-392	187	6	size	size	NOUN
ap-392	187	7	of	of	ADP
ap-392	187	8	a	a	DET
ap-392	187	9	grain	grain	NOUN
ap-392	187	10	is	be	AUX
ap-392	187	11	-	-	PUNCT
ap-392	187	12	measured	measure	VERB
ap-392	187	13	by	by	ADP
ap-392	187	14	its	its	PRON
ap-392	187	15	radius	radius	NOUN
ap-392	187	16	.	.	PUNCT
ap-392	188	1	if	if	SCONJ
ap-392	188	2	this	this	DET
ap-392	188	3	assumption	assumption	NOUN
ap-392	188	4	is	be	AUX
ap-392	188	5	fulfilled	fulfil	VERB
ap-392	188	6	,	,	PUNCT
ap-392	188	7	we	we	PRON
ap-392	188	8	can	can	AUX
ap-392	188	9	suppose	suppose	VERB
ap-392	188	10	that	that	SCONJ
ap-392	188	11	in	in	ADP
ap-392	188	12	vertical	vertical	ADJ
ap-392	188	13	scanning	scanning	NOUN
ap-392	188	14	of	of	ADP
ap-392	188	15	sample	sample	NOUN
ap-392	188	16	surfaces	surface	NOUN
ap-392	188	17	,	,	PUNCT
ap-392	188	18	the	the	DET
ap-392	188	19	resulting	result	VERB
ap-392	188	20	boundaries	boundary	NOUN
ap-392	188	21	are	be	AUX
ap-392	188	22	almost	almost	ADV
ap-392	188	23	circular	circular	ADJ
ap-392	188	24	in	in	ADP
ap-392	188	25	shape	shape	NOUN
ap-392	188	26	.	.	PUNCT
ap-392	189	1	if	if	SCONJ
ap-392	189	2	the	the	DET
ap-392	189	3	grains	grain	NOUN
ap-392	189	4	overlip	overlip	VERB
ap-392	189	5	,	,	PUNCT
ap-392	189	6	the	the	DET
ap-392	189	7	resulting	result	VERB
ap-392	189	8	boundaries	boundary	NOUN
ap-392	189	9	are	be	AUX
ap-392	189	10	composed	compose	VERB
ap-392	189	11	ofconcave	ofconcave	NOUN
ap-392	189	12	and	and	CCONJ
ap-392	189	13	convex	convex	NOUN
ap-392	189	14	curves	curve	NOUN
ap-392	189	15	and	and	CCONJ
ap-392	189	16	form	form	VERB
ap-392	189	17	a	a	DET
ap-392	189	18	closed	closed	ADJ
ap-392	189	19	curve	curve	NOUN
ap-392	189	20	(	(	PUNCT
ap-392	189	21	at	at	ADP
ap-392	189	22	least	least	ADJ
ap-392	189	23	in	in	ADP
ap-392	189	24	the	the	DET
ap-392	189	25	case	case	NOUN
ap-392	189	26	of	of	ADP
ap-392	189	27	an	an	DET
ap-392	189	28	ideal	ideal	ADJ
ap-392	189	29	image	image	NOUN
ap-392	189	30	)	)	PUNCT
ap-392	189	31	.	.	PUNCT
ap-392	190	1	the	the	DET
ap-392	190	2	concave	concave	ADJ
ap-392	190	3	parts	part	NOUN
ap-392	190	4	of	of	ADP
ap-392	190	5	the	the	DET
ap-392	190	6	curves	curve	NOUN
ap-392	190	7	are	be	AUX
ap-392	190	8	formed	form	VERB
ap-392	190	9	by	by	ADP
ap-392	190	10	cuts	cut	NOUN
ap-392	190	11	ofihe	ofihe	PROPN
ap-392	190	12	mutual	mutual	ADJ
ap-392	190	13	overlaps	overlap	NOUN
ap-392	190	14	.	.	PUNCT
ap-392	191	1	consequently	consequently	ADV
ap-392	191	2	,	,	PUNCT
ap-392	191	3	only	only	ADV
ap-392	191	4	the	the	DET
ap-392	191	5	points	point	NOUN
ap-392	191	6	of	of	ADP
ap-392	191	7	the	the	DET
ap-392	191	8	convex	convex	ADJ
ap-392	191	9	parts	part	NOUN
ap-392	191	10	of	of	ADP
ap-392	191	11	the	the	DET
ap-392	191	12	boundaries	boundary	NOUN
ap-392	191	13	are	be	AUX
ap-392	191	14	considered	consider	VERB
ap-392	191	15	for	for	ADP
ap-392	191	16	calculations	calculation	NOUN
ap-392	191	17	of	of	ADP
ap-392	191	18	the	the	DET
ap-392	191	19	radius	radius	NOUN
ap-392	191	20	of	of	ADP
ap-392	191	21	the	the	DET
ap-392	191	22	sphere	sphere	NOUN
ap-392	191	23	grain	grain	NOUN
ap-392	191	24	.	.	PUNCT
ap-392	192	1	these	these	PRON
ap-392	192	2	are	be	AUX
ap-392	192	3	points	point	NOUN
ap-392	192	4	on	on	ADP
ap-392	192	5	the	the	DET
ap-392	192	6	real	real	ADJ
ap-392	192	7	surface	surface	NOUN
ap-392	192	8	ofthe	ofthe	NOUN
ap-392	192	9	grain	grain	NOUN
ap-392	192	10	,	,	PUNCT
ap-392	192	11	and	and	CCONJ
ap-392	192	12	not	not	PART
ap-392	192	13	points	point	NOUN
ap-392	192	14	generated	generate	VERB
ap-392	192	15	by	by	ADP
ap-392	192	16	overlapping	overlap	VERB
ap-392	192	17	.	.	PUNCT
ap-392	193	1	theory	theory	NOUN
ap-392	193	2	for	for	ADP
ap-392	193	3	calculating	calculate	VERB
ap-392	193	4	the	the	DET
ap-392	193	5	radius	radius	NOUN
ap-392	193	6	of	of	ADP
ap-392	193	7	a	a	DET
ap-392	193	8	sphere	sphere	NOUN
ap-392	193	9	(	(	PUNCT
ap-392	193	10	circte	circte	NOUN
ap-392	193	11	)	)	PUNCT
ap-392	193	12	if	if	SCONJ
ap-392	193	13	the	the	DET
ap-392	193	14	boundaries	boundary	NOUN
ap-392	193	15	betrveen	betrveen	VERB
ap-392	193	16	grains	grain	NOUN
ap-392	193	17	are	be	AUX
ap-392	193	18	approximated	approximate	VERB
ap-392	193	19	by	by	ADP
ap-392	193	20	an	an	DET
ap-392	193	21	ideal	ideal	ADJ
ap-392	193	22	circle	circle	NOUN
ap-392	193	23	(	(	PUNCT
ap-392	193	24	with	with	ADP
ap-392	193	25	radius	radius	NOUN
ap-392	193	26	r	r	NOUN
ap-392	193	27	)	)	PUNCT
ap-392	193	28	,	,	PUNCT
ap-392	193	29	then	then	ADV
ap-392	193	30	the	the	DET
ap-392	193	31	points	point	NOUN
ap-392	193	32	of	of	ADP
ap-392	193	33	this	this	DET
ap-392	193	34	circle	circle	NOUN
ap-392	193	35	can	can	AUX
ap-392	193	36	be	be	AUX
ap-392	193	37	parametrically	parametrically	ADV
ap-392	193	38	described	describe	VERB
ap-392	193	39	by	by	ADP
ap-392	193	40	the	the	DET
ap-392	193	41	following	follow	VERB
ap-392	193	42	function	function	NOUN
ap-392	193	43	:	:	PUNCT
ap-392	193	44	n(t	n(t	X
ap-392	193	45	)	)	PUNCT
ap-392	194	1	=[	=[	NOUN
ap-392	194	2	x(t),1@	x(t),1@	PROPN
ap-392	195	1	l	l	NOUN
ap-392	195	2	,	,	PUNCT
ap-392	195	3	where	where	SCONJ
ap-392	195	4	i	i	PRON
ap-392	195	5	is	be	AUX
ap-392	195	6	the	the	DET
ap-392	195	7	parameter	parameter	NOUN
ap-392	195	8	of	of	ADP
ap-392	195	9	0	0	NUM
ap-392	195	10	to	to	ADP
ap-392	195	11	2xr	2xr	NOUN
ap-392	195	12	and	and	CCONJ
ap-392	195	13	x	x	SYM
ap-392	195	14	(	(	PUNCT
ap-392	195	15	t	t	NOUN
ap-392	195	16	)	)	PUNCT
ap-392	195	17	=	=	SYM
ap-392	196	1	r	r	NOUN
ap-392	196	2	.	.	PUNCT
ap-392	196	3	cos(tlr	cos(tlr	PROPN
ap-392	196	4	)	)	PUNCT
ap-392	196	5	,	,	PUNCT
ap-392	196	6	)	)	PUNCT
ap-392	196	7	(	(	PUNCT
ap-392	196	8	t	t	NOUN
ap-392	196	9	)	)	PUNCT
ap-392	196	10	=	=	SYM
ap-392	197	1	r	r	NOUN
ap-392	197	2	.	.	PUNCT
ap-392	198	1	sin(tl	sin(tl	ADJ
ap-392	198	2	r	r	NOUN
ap-392	198	3	)	)	PUNCT
ap-392	198	4	.	.	PUNCT
ap-392	199	1	cun	cun	PROPN
ap-392	199	2	/	/	SYM
ap-392	199	3	ature	ature	NOUN
ap-392	199	4	cut'u	cut'u	NOUN
ap-392	199	5	at	at	ADP
ap-392	199	6	the	the	DET
ap-392	199	7	point	point	NOUN
ap-392	199	8	of	of	ADP
ap-392	199	9	function	function	NOUN
ap-392	199	10	f	f	PROPN
ap-392	199	11	(	(	PUNCT
ap-392	199	12	t	t	PROPN
ap-392	199	13	)	)	PUNCT
ap-392	199	14	=	=	NOUN
ap-392	199	15	lx(t	lx(t	NOUN
ap-392	199	16	)	)	PUNCT
ap-392	199	17	,	,	PUNCT
ap-392	199	18	y(t)l	y(t)l	PROPN
ap-392	199	19	is	be	AUX
ap-392	199	20	defined	define	VERB
ap-392	199	21	as	as	ADP
ap-392	199	22	:	:	PUNCT
ap-392	199	23	c	c	NOUN
ap-392	199	24	u	u	PROPN
ap-392	199	25	rulf	rulf	VERB
ap-392	199	26	1	1	NUM
ap-392	199	27	t)f=	t)f=	NOUN
ap-392	199	28	#	#	NOUN
ap-392	199	29	r	r	NOUN
ap-392	199	30	,	,	PUNCT
ap-392	199	31	,	,	PUNCT
ap-392	199	32	=	=	NOUN
ap-392	199	33	l	l	NOUN
ap-392	199	34	#	#	NOUN
ap-392	199	35	r	r	NOUN
ap-392	199	36	,	,	PUNCT
ap-392	199	37	r	r	NOUN
ap-392	199	38	,	,	PUNCT
ap-392	199	39	0'"t	0'"t	NUM
ap-392	199	40	.	.	PUNCT
ap-392	200	1	.1:'(r	.1:'(r	ADJ
ap-392	200	2	)	)	PUNCT
ap-392	201	1	l.orl	l.orl	PROPN
ap-392	201	2	e	e	NOUN
ap-392	201	3	after	after	ADP
ap-392	201	4	substitution	substitution	NOUN
ap-392	201	5	of	of	ADP
ap-392	201	6	3	3	NUM
ap-392	201	7	.	.	PUNCT
ap-392	201	8	fig	fig	NOUN
ap-392	201	9	.	.	PUNCT
ap-392	202	1	l4	l4	PROPN
ap-392	202	2	:	:	PUNCT
ap-392	202	3	boundaries	boundary	NOUN
ap-392	202	4	benveen	benveen	PROPN
ap-392	202	5	areas	area	NOUN
ap-392	202	6	(	(	PUNCT
ap-392	202	7	no1	no1	PROPN
ap-392	202	8	invoh	invoh	PROPN
ap-392	202	9	,	,	PUNCT
ap-392	202	10	ing	ing	ADJ
ap-392	202	11	artificial	artificial	ADJ
ap-392	202	12	boundaries	boundary	NOUN
ap-392	202	13	)	)	PUNCT
ap-392	202	14	6	6	NUM
ap-392	202	15	calculation	calculation	NOUN
ap-392	202	16	of	of	ADP
ap-392	202	17	the	the	DET
ap-392	202	18	probability	probability	NOUN
ap-392	202	19	distribution	distribution	NOUN
ap-392	202	20	of	of	ADP
ap-392	202	21	grain	grain	NOUN
ap-392	202	22	size	size	NOUN
ap-392	202	23	data	datum	NOUN
ap-392	202	24	on	on	ADP
ap-392	202	25	the	the	DET
ap-392	202	26	gr	gr	ADJ
ap-392	202	27	-	-	PUNCT
ap-392	202	28	ain	ain	NOUN
ap-392	202	29	boundaries	boundary	NOUN
ap-392	202	30	are	be	AUX
ap-392	202	31	usecl	usecl	ADJ
ap-392	202	32	for	for	ADP
ap-392	202	33	calculations	calculation	NOUN
ap-392	202	34	of	of	ADP
ap-392	202	35	the	the	DET
ap-392	202	36	probability	probability	NOUN
ap-392	202	37	distribution	distribution	NOUN
ap-392	202	38	of	of	ADP
ap-392	202	39	grain	grain	NOUN
ap-392	202	40	size	size	NOUN
ap-392	202	41	.	.	PUNCT
ap-392	203	1	jwo	jwo	PROPN
ap-392	203	2	methods	method	NOUN
ap-392	203	3	are	be	AUX
ap-392	203	4	suggested	suggest	VERB
ap-392	203	5	and	and	CCONJ
ap-392	203	6	implemented	implement	VERB
ap-392	203	7	for	for	ADP
ap-392	203	8	implementing	implement	VERB
ap-392	203	9	these	these	DET
ap-392	203	10	calculations	calculation	NOUN
ap-392	203	11	:	:	PUNCT
ap-392	203	12	.	.	PUNCT
ap-392	204	1	method	method	NOUN
ap-392	204	2	of	of	ADP
ap-392	204	3	description	description	NOUN
ap-392	204	4	of	of	ADP
ap-392	204	5	the	the	DET
ap-392	204	6	local	local	ADJ
ap-392	204	7	curvature	curvature	NOUN
ap-392	204	8	of	of	ADP
ap-392	204	9	grain	grain	NOUN
ap-392	204	10	boundaries	boundary	NOUN
ap-392	204	11	,	,	PUNCT
ap-392	204	12	o	o	NOUN
ap-392	204	13	method	method	NOUN
ap-392	204	14	of	of	ADP
ap-392	204	15	the	the	DET
ap-392	204	16	two	two	NUM
ap-392	204	17	most	most	ADV
ap-392	204	18	distant	distant	ADJ
ap-392	204	19	points	point	NOUN
ap-392	204	20	.	.	PUNCT
ap-392	205	1	the	the	DET
ap-392	205	2	results	result	NOUN
ap-392	205	3	of	of	ADP
ap-392	205	4	these	these	DET
ap-392	205	5	calculations	calculation	NOUN
ap-392	205	6	may	may	AUX
ap-392	205	7	be	be	AUX
ap-392	205	8	illustrated	illustrate	VERB
ap-392	205	9	in	in	ADP
ap-392	205	10	the	the	DET
ap-392	205	11	form	form	NOUN
ap-392	205	12	of	of	ADP
ap-392	205	13	a	a	DET
ap-392	205	14	graph	graph	NOUN
ap-392	205	15	or	or	CCONJ
ap-392	205	16	written	write	VERB
ap-392	205	17	in	in	ADP
ap-392	205	18	standard	standard	ADJ
ap-392	205	19	output	output	NOUN
ap-392	205	20	.	.	PUNCT
ap-392	206	1	the	the	DET
ap-392	206	2	extent	extent	NOUN
ap-392	206	3	of	of	ADP
ap-392	206	4	rhe	rhe	NOUN
ap-392	206	5	curvarure	curvarure	NOUN
ap-392	206	6	at	at	ADP
ap-392	206	7	points	point	NOUN
ap-392	206	8	*	*	PUNCT
ap-392	206	9	(	(	PUNCT
ap-392	206	10	t	t	NOUN
ap-392	206	11	)	)	PUNCT
ap-392	206	12	for	for	ADP
ap-392	206	13	i	i	PROPN
ap-392	206	14	=	=	NOUN
ap-392	206	15	0	0	NUM
ap-392	206	16	to	to	ADP
ap-392	206	17	2nr	2nr	NOUN
ap-392	206	18	is	be	AUX
ap-392	206	19	:	:	PUNCT
ap-392	206	20	vunlk(t\ll=.e	vunlk(t\ll=.e	NOUN
ap-392	206	21	,	,	PUNCT
ap-392	206	22	ro	ro	X
ap-392	206	23	,	,	PUNCT
ap-392	206	24	=	=	SYM
ap-392	206	25	e.	e.	PROPN
ap-392	206	26	'	'	PUNCT
ap-392	206	27	l\/r	l\/r	PROPN
ap-392	206	28	'	'	PUNCT
ap-392	206	29	vr	vr	PROPN
ap-392	206	30	'	'	PUNCT
ap-392	206	31	\lcunlft(t)ll	\lcunlft(t)ll	NOUN
ap-392	206	32	algorithm	algorithm	NOUN
ap-392	206	33	for	for	ADP
ap-392	206	34	calculating	calculate	VERB
ap-392	206	35	the	the	DET
ap-392	206	36	radius	radius	NOUN
ap-392	206	37	of	of	ADP
ap-392	206	38	a	a	DET
ap-392	206	39	sphere	sphere	NOUN
ap-392	206	40	(	(	PUNCT
ap-392	206	41	circle	circle	NOUN
ap-392	206	42	)	)	PUNCT
ap-392	206	43	for	for	ADP
ap-392	206	44	each	each	DET
ap-392	206	45	point	point	NOUN
ap-392	206	46	on	on	ADP
ap-392	206	47	the	the	DET
ap-392	206	48	boundary	boundary	NOUN
ap-392	206	49	of	of	ADP
ap-392	206	50	a	a	DET
ap-392	206	51	grain	grain	NOUN
ap-392	206	52	the	the	DET
ap-392	206	53	following	follow	VERB
ap-392	206	54	steps	step	NOUN
ap-392	206	55	are	be	AUX
ap-392	206	56	carried	carry	VERB
ap-392	206	57	out	out	ADP
ap-392	206	58	:	:	PUNCT
ap-392	206	59	l.	l.	PROPN
ap-392	206	60	differentiating	differentiate	VERB
ap-392	206	61	the	the	DET
ap-392	206	62	boundary	boundary	ADJ
ap-392	206	63	cun'e	cun'e	NOUN
ap-392	206	64	twice	twice	ADV
ap-392	206	65	,	,	PUNCT
ap-392	206	66	the	the	DET
ap-392	206	67	resulting	result	VERB
ap-392	206	68	gladients	gladient	NOUN
ap-392	206	69	are	be	AUX
ap-392	206	70	used	use	VERB
ap-392	206	71	for	for	ADP
ap-392	206	72	determiningwherher	determiningwherher	NOUN
ap-392	206	73	the	the	DET
ap-392	206	74	trial	trial	NOUN
ap-392	206	75	point	point	NOUN
ap-392	206	76	is	be	AUX
ap-392	206	77	in	in	ADP
ap-392	206	78	the	the	DET
ap-392	206	79	convex	convex	NOUN
ap-392	206	80	or	or	CCONJ
ap-392	206	81	the	the	DET
ap-392	206	82	concave	concave	ADJ
ap-392	206	83	part	part	NOUN
ap-392	206	84	ofthe	ofthe	ADJ
ap-392	206	85	boundary	boundary	ADJ
ap-392	206	86	curve	curve	NOUN
ap-392	206	87	.	.	PUNCT
ap-392	207	1	2	2	X
ap-392	207	2	.	.	X
ap-392	207	3	if	if	SCONJ
ap-392	207	4	the	the	DET
ap-392	207	5	point	point	NOUN
ap-392	207	6	is	be	AUX
ap-392	207	7	in	in	ADP
ap-392	207	8	the	the	DET
ap-392	207	9	convex	convex	ADJ
ap-392	207	10	part	part	NOUN
ap-392	207	11	of	of	ADP
ap-392	207	12	the	the	DET
ap-392	207	13	boundary	boundary	ADJ
ap-392	207	14	curve	curve	NOUN
ap-392	207	15	then	then	ADV
ap-392	207	16	the	the	DET
ap-392	207	17	curvature	curvature	NOUN
ap-392	207	18	value	value	NOUN
ap-392	207	19	is	be	AUX
ap-392	207	20	calculated	calculate	VERB
ap-392	207	21	.	.	PUNCT
ap-392	208	1	the	the	DET
ap-392	208	2	curvature	curvature	NOUN
ap-392	208	3	value	value	NOUN
ap-392	208	4	is	be	AUX
ap-392	208	5	calculated	calculate	VERB
ap-392	208	6	with	with	ADP
ap-392	208	7	the	the	DET
ap-392	208	8	use	use	NOUN
ap-392	208	9	of	of	ADP
ap-392	208	10	numerical	numerical	ADJ
ap-392	208	11	methods	method	NOUN
ap-392	208	12	based	base	VERB
ap-392	208	13	on	on	ADP
ap-392	208	14	n	n	DET
ap-392	208	15	neighboring	neighboring	NOUN
ap-392	208	16	points	point	NOUN
ap-392	208	17	(	(	PUNCT
ap-392	208	18	lagrange	lagrange	NOUN
ap-392	208	19	,	,	PUNCT
ap-392	208	20	tschebysheff	tschebysheff	NOUN
ap-392	208	21	;	;	PUNCT
ap-392	208	22	.	.	PUNCT
ap-392	209	1	the	the	DET
ap-392	209	2	radius	radius	NOUN
ap-392	209	3	then	then	ADV
ap-392	209	4	follows	follow	VERB
ap-392	209	5	from	from	ADP
ap-392	209	6	the	the	DET
ap-392	209	7	above	above	ADV
ap-392	209	8	-	-	PUNCT
ap-392	209	9	defined	define	VERB
ap-392	209	10	formula	formula	NOUN
ap-392	209	11	and	and	CCONJ
ap-392	209	12	is	be	AUX
ap-392	209	13	stored	store	VERB
ap-392	209	14	in	in	ADP
ap-392	209	15	an	an	DET
ap-392	209	16	auxiliary	auxiliary	ADJ
ap-392	209	17	bufler	bufler	NOUN
ap-392	209	18	.	.	PUNCT
ap-392	210	1	the	the	DET
ap-392	210	2	most	most	ADV
ap-392	210	3	extensive	extensive	ADJ
ap-392	210	4	value	value	NOUN
ap-392	210	5	of	of	ADP
ap-392	210	6	the	the	DET
ap-392	210	7	radii	radius	NOUN
ap-392	210	8	is	be	AUX
ap-392	210	9	calculated	calculate	VERB
ap-392	210	10	fiorn	fiorn	VERB
ap-392	210	11	the	the	DET
ap-392	210	12	auxiliary	auxiliary	ADJ
ap-392	210	13	buffer	buffer	NOUN
ap-392	210	14	.	.	PUNCT
ap-392	211	1	the	the	DET
ap-392	211	2	most	most	ADV
ap-392	211	3	extensive	extensive	ADJ
ap-392	211	4	value	value	NOUN
ap-392	211	5	is	be	AUX
ap-392	211	6	declared	declare	VERB
ap-392	211	7	as	as	ADP
ap-392	211	8	a	a	DET
ap-392	211	9	resulting	result	VERB
ap-392	211	10	radius	radius	NOUN
ap-392	211	11	of	of	ADP
ap-392	211	12	the	the	DET
ap-392	211	13	grain	grain	NOUN
ap-392	211	14	and	and	CCONJ
ap-392	211	15	pur	pur	NOUN
ap-392	211	16	inro	inro	ADJ
ap-392	211	17	the	the	DET
ap-392	211	18	resulting	result	VERB
ap-392	211	19	graph	graph	NOUN
ap-392	211	20	of	of	ADP
ap-392	211	21	the	the	DET
ap-392	211	22	probability	probability	NOUN
ap-392	211	23	distribution	distribution	NOUN
ap-392	211	24	of	of	ADP
ap-392	211	25	grain	grain	NOUN
ap-392	211	26	size	size	NOUN
ap-392	211	27	.	.	PUNCT
ap-392	212	1	remarks	remark	NOUN
ap-392	212	2	on	on	ADP
ap-392	212	3	implementation	implementation	NOUN
ap-392	212	4	:	:	PUNCT
ap-392	212	5	it	it	PRON
ap-392	212	6	is	be	AUX
ap-392	212	7	necessary	necessary	ADJ
ap-392	212	8	to	to	PART
ap-392	212	9	smooth	smooth	VERB
ap-392	212	10	the	the	DET
ap-392	212	11	boundary	boundary	ADJ
ap-392	212	12	curve	curve	NOUN
ap-392	212	13	ofthe	ofthe	NOUN
ap-392	212	14	grain	grain	NOUN
ap-392	212	15	before	before	ADP
ap-392	212	16	calculating	calculate	VERB
ap-392	212	17	the	the	DET
ap-392	212	18	local	local	ADJ
ap-392	212	19	curvatures	curvature	NOUN
ap-392	212	20	,	,	PUNCT
ap-392	212	21	as	as	SCONJ
ap-392	212	22	calculations	calculation	NOUN
ap-392	212	23	of	of	ADP
ap-392	212	24	the	the	DET
ap-392	212	25	local	local	ADJ
ap-392	212	26	curvature	curvature	NOUN
ap-392	212	27	are	be	AUX
ap-392	212	28	based	base	VERB
ap-392	212	29	on	on	ADP
ap-392	212	30	the	the	DET
ap-392	212	31	second	second	ADJ
ap-392	212	32	diflerentiation	diflerentiation	NOUN
ap-392	212	33	(	(	PUNCT
ap-392	212	34	using	use	VERB
ap-392	212	35	n	n	PRON
ap-392	212	36	neighboring	neighboring	NOUN
ap-392	212	37	points	point	NOUN
ap-392	212	38	)	)	PUNCT
ap-392	212	39	,	,	PUNCT
ap-392	212	40	which	which	PRON
ap-392	212	41	are	be	AUX
ap-392	212	42	numerically	numerically	ADV
ap-392	212	43	ill	ill	ADV
ap-392	212	44	posed	pose	VERB
ap-392	212	45	.	.	PUNCT
ap-392	213	1	curvature	curvature	VERB
ap-392	213	2	at	at	ADP
ap-392	213	3	the	the	DET
ap-392	213	4	point	point	NOUN
ap-392	213	5	of	of	ADP
ap-392	213	6	the	the	DET
ap-392	213	7	h(t	h(t	PROPN
ap-392	213	8	)	)	PUNCT
ap-392	213	9	for	for	ADP
ap-392	213	10	f(t	f(t	NOUN
ap-392	213	11	)	)	PUNCT
ap-392	213	12	is	be	AUX
ap-392	213	13	given	give	VERB
ap-392	213	14	by	by	ADP
ap-392	213	15	:	:	PUNCT
ap-392	213	16	c	c	X
ap-392	213	17	untfh(t)l=	untfh(t)l=	PROPN
ap-392	213	18	i-+,i"r1'.],l	i-+,i"r1'.],l	PROPN
ap-392	213	19	r\r,/	r\r,/	VERB
ap-392	213	20	circl	circl	NOUN
ap-392	213	21	i	i	PROPN
ap-392	213	22	rr)-le.cosl	rr)-le.cosl	NOUN
ap-392	213	23	-	-	PUNCT
ap-392	213	24	ll.r\r	ll.r\r	NOUN
ap-392	213	25	/	/	SYM
ap-392	213	26	j	j	PROPN
ap-392	213	27	59	59	NUM
ap-392	213	28	acta	acta	PROPN
ap-392	213	29	polytechnica	polytechnica	PROPN
ap-392	213	30	vol	vol	NOUN
ap-392	213	31	.	.	PUNCT
ap-392	214	1	43	43	NUM
ap-392	214	2	no	no	NOUN
ap-392	214	3	.	.	NOUN
ap-392	214	4	112003	112003	NUM
ap-392	214	5	smoothing	smooth	VERB
ap-392	214	6	the	the	DET
ap-392	214	7	parametric	parametric	ADJ
ap-392	214	8	curve	curve	NOUN
ap-392	214	9	is	be	AUX
ap-392	214	10	determined	determine	VERB
ap-392	214	11	in	in	ADP
ap-392	214	12	n	n	CCONJ
ap-392	214	13	-	-	PUNCT
ap-392	214	14	dimensional	dimensional	ADJ
ap-392	214	15	space	space	NOUN
ap-392	214	16	by	by	ADP
ap-392	214	17	the	the	DET
ap-392	214	18	formula	formula	NOUN
ap-392	214	19	for	for	ADP
ap-392	214	20	x(l	x(l	NOUN
ap-392	214	21	)	)	PUNCT
ap-392	215	1	=	=	PUNCT
ap-392	216	1	[	[	X
ap-392	216	2	rt(l	rt(l	ADP
ap-392	216	3	)	)	PUNCT
ap-392	216	4	,	,	PUNCT
ap-392	216	5	.	.	PUNCT
ap-392	216	6	.	.	PUNCT
ap-392	217	1	.	.	PUNCT
ap-392	218	1	,	,	PUNCT
ap-392	218	2	,	,	PUNCT
ap-392	218	3	c"(t	c"(t	NOUN
ap-392	218	4	)	)	PUNCT
ap-392	218	5	)	)	PUNCT
ap-392	218	6	,	,	PUNCT
ap-392	218	7	where	where	SCONJ
ap-392	218	8	f	f	PROPN
ap-392	218	9	is	be	AUX
ap-392	218	10	a	a	DET
ap-392	218	11	parameter	parameter	NOUN
ap-392	218	12	of	of	ADP
ap-392	218	13	the	the	DET
ap-392	218	14	length	length	NOUN
ap-392	218	15	of	of	ADP
ap-392	218	16	the	the	DET
ap-392	218	17	curve	curve	NOUN
ap-392	218	18	.	.	PUNCT
ap-392	219	1	the	the	DET
ap-392	219	2	principle	principle	NOUN
ap-392	219	3	of	of	ADP
ap-392	219	4	smoothing	smoothing	NOUN
ap-392	219	5	involves	involve	VERB
ap-392	219	6	multiplying	multiply	VERB
ap-392	219	7	the	the	DET
ap-392	219	8	second	second	ADJ
ap-392	219	9	derivative	derivative	NOUN
ap-392	219	10	at	at	ADP
ap-392	219	11	the	the	DET
ap-392	219	12	trial	trial	NOUN
ap-392	219	13	point	point	NOUN
ap-392	219	14	x(t	x(t	PROPN
ap-392	219	15	)	)	PUNCT
ap-392	219	16	by	by	ADP
ap-392	219	17	parameter	parameter	NOUN
ap-392	219	18	i	i	PRON
ap-392	219	19	and	and	CCONJ
ap-392	219	20	adding	add	VERB
ap-392	219	21	the	the	DET
ap-392	219	22	result	result	NOUN
ap-392	219	23	to	to	ADP
ap-392	219	24	the	the	DET
ap-392	219	25	point	point	NOUN
ap-392	219	26	itself	itself	PRON
ap-392	219	27	:	:	PUNCT
ap-392	219	28	^flfal	^flfal	PUNCT
ap-392	219	29	i	i	PRON
ap-392	219	30	v	v	NOUN
ap-392	219	31	*	*	ADJ
ap-392	219	32	n	n	NUM
ap-392	219	33	/!\	/!\	CCONJ
ap-392	219	34	tll	tll	NOUN
ap-392	219	35	,	,	PUNCT
ap-392	219	36	,	,	PUNCT
ap-392	219	37	..	..	PUNCT
ap-392	219	38	,	,	PUNCT
ap-392	219	39	-----;-\o)'l	-----;-\o)'l	PROPN
ap-392	219	40	i'dt|	i'dt|	PROPN
ap-392	219	41	j	j	PROPN
ap-392	219	42	where	where	SCONJ
ap-392	219	43	i	i	PRON
ap-392	219	44	is	be	AUX
ap-392	219	45	entered	enter	VERB
ap-392	219	46	as	as	ADP
ap-392	219	47	a	a	DET
ap-392	219	48	very	very	ADV
ap-392	219	49	small	small	ADJ
ap-392	219	50	number	number	NOUN
ap-392	219	51	(	(	PUNCT
ap-392	219	52	0.01	0.01	NUM
ap-392	219	53	)	)	PUNCT
ap-392	219	54	.	.	PUNCT
ap-392	220	1	eualuation	eualuation	NOUN
ap-392	220	2	of	of	ADP
ap-392	220	3	this	this	DET
ap-392	220	4	mcthod	mcthod	NOUN
ap-392	220	5	this	this	DET
ap-392	220	6	method	method	NOUN
ap-392	220	7	provides	provide	VERB
ap-392	220	8	good	good	ADJ
ap-392	220	9	results	result	NOUN
ap-392	220	10	on	on	ADP
ap-392	220	11	ideally	ideally	ADV
ap-392	220	12	generated	generate	VERB
ap-392	220	13	circles	circle	NOUN
ap-392	220	14	,	,	PUNCT
ap-392	220	15	but	but	CCONJ
ap-392	220	16	in	in	ADP
ap-392	220	17	practice	practice	NOUN
ap-392	220	18	,	,	PUNCT
ap-392	220	19	in	in	ADP
ap-392	220	20	many	many	ADJ
ap-392	220	21	cases	case	NOUN
ap-392	220	22	,	,	PUNCT
ap-392	220	23	the	the	DET
ap-392	220	24	results	result	NOUN
ap-392	220	25	are	be	AUX
ap-392	220	26	worse	bad	ADJ
ap-392	220	27	.	.	PUNCT
ap-392	221	1	the	the	DET
ap-392	221	2	input	input	NOUN
ap-392	221	3	images	image	NOUN
ap-392	221	4	are	be	AUX
ap-392	221	5	often	often	ADV
ap-392	221	6	very	very	ADV
ap-392	221	7	noisy	noisy	ADJ
ap-392	221	8	and	and	CCONJ
ap-392	221	9	calculations	calculation	NOUN
ap-392	221	10	of	of	ADP
ap-392	221	11	the	the	DET
ap-392	221	12	second	second	ADJ
ap-392	221	13	derivative	derivative	ADJ
ap-392	221	14	fail	fail	NOUN
ap-392	221	15	,	,	PUNCT
ap-392	221	16	i.e.	i.e.	X
ap-392	221	17	,	,	PUNCT
ap-392	221	18	they	they	PRON
ap-392	221	19	are	be	AUX
ap-392	221	20	numerically	numerically	ADV
ap-392	221	21	ill	ill	ADV
ap-392	221	22	posed	pose	VERB
ap-392	221	23	.	.	PUNCT
ap-392	222	1	6.2	6.2	NUM
ap-392	222	2	method	method	NOUN
ap-392	222	3	.	.	PUNCT
ap-392	223	1	of	of	ADP
ap-392	223	2	the	the	DET
ap-392	223	3	two	two	NUM
ap-392	223	4	rnost	rnost	NOUN
ap-392	223	5	distant	distant	ADJ
ap-392	223	6	points	point	NOUN
ap-392	223	7	this	this	DET
ap-392	223	8	method	method	NOUN
ap-392	223	9	consists	consist	VERB
ap-392	223	10	in	in	ADP
ap-392	223	11	determining	determine	VERB
ap-392	223	12	the	the	DET
ap-392	223	13	radius	radius	NOUN
ap-392	223	14	of	of	ADP
ap-392	223	15	a	a	DET
ap-392	223	16	grain	grain	NOUN
ap-392	223	17	as	as	ADP
ap-392	223	18	the	the	DET
ap-392	223	19	maximum	maximum	NOUN
ap-392	223	20	of	of	ADP
ap-392	223	21	the	the	DET
ap-392	223	22	distances	distance	NOUN
ap-392	223	23	between	between	ADP
ap-392	223	24	each	each	DET
ap-392	223	25	hvo	hvo	NOUN
ap-392	223	26	points	point	NOUN
ap-392	223	27	in	in	ADP
ap-392	223	28	the	the	DET
ap-392	223	29	domain	domain	NOUN
ap-392	223	30	of	of	ADP
ap-392	223	31	the	the	DET
ap-392	223	32	grain	grain	NOUN
ap-392	223	33	.	.	PUNCT
ap-392	224	1	the	the	DET
ap-392	224	2	maximum	maximum	ADJ
ap-392	224	3	distance	distance	NOUN
ap-392	224	4	is	be	AUX
ap-392	224	5	stored	store	VERB
ap-392	224	6	into	into	ADP
ap-392	224	7	the	the	DET
ap-392	224	8	probability	probability	NOUN
ap-392	224	9	distribution	distribution	NOUN
ap-392	224	10	graph	graph	NOUN
ap-392	224	11	of	of	ADP
ap-392	224	12	grain	grain	NOUN
ap-392	224	13	size	size	NOUN
ap-392	224	14	.	.	PUNCT
ap-392	225	1	if	if	SCONJ
ap-392	225	2	the	the	DET
ap-392	225	3	grains	grain	NOUN
ap-392	225	4	are	be	AUX
ap-392	225	5	approximated	approximate	VERB
ap-392	225	6	by	by	ADP
ap-392	225	7	spheres	sphere	NOUN
ap-392	225	8	(	(	PUNCT
ap-392	225	9	circles	circle	NOUN
ap-392	225	10	)	)	PUNCT
ap-392	225	11	,	,	PUNCT
ap-392	225	12	the	the	DET
ap-392	225	13	distance	distance	NOUN
ap-392	225	14	is	be	AUX
ap-392	225	15	divided	divide	VERB
ap-392	225	16	by	by	ADP
ap-392	225	17	nvo	nvo	PROPN
ap-392	225	18	to	to	PART
ap-392	225	19	get	get	VERB
ap-392	225	20	the	the	DET
ap-392	225	21	sought	seek	VERB
ap-392	225	22	radius	radius	NOUN
ap-392	225	23	.	.	PUNCT
ap-392	226	1	eualuntion	eualuntion	NOUN
ap-392	226	2	of	of	ADP
ap-392	226	3	this	this	DET
ap-392	226	4	mcthod	mcthod	NOUN
ap-392	226	5	this	this	DET
ap-392	226	6	method	method	NOUN
ap-392	226	7	provides	provide	VERB
ap-392	226	8	good	good	ADJ
ap-392	226	9	results	result	NOUN
ap-392	226	10	in	in	ADP
ap-392	226	11	practice	practice	NOUN
ap-392	226	12	.	.	PUNCT
ap-392	227	1	it	it	PRON
ap-392	227	2	may	may	AUX
ap-392	227	3	fail	fail	VERB
ap-392	227	4	only	only	ADV
ap-392	227	5	when	when	SCONJ
ap-392	227	6	the	the	DET
ap-392	227	7	grains	grain	NOUN
ap-392	227	8	overlap	overlap	VERB
ap-392	227	9	excessively	excessively	ADV
ap-392	227	10	.	.	PUNCT
ap-392	228	1	this	this	PRON
ap-392	228	2	is	be	AUX
ap-392	228	3	not	not	PART
ap-392	228	4	a	a	DET
ap-392	228	5	fiequent	fiequent	NOUN
ap-392	228	6	case	case	NOUN
ap-392	228	7	,	,	PUNCT
ap-392	228	8	especially	especially	ADV
ap-392	228	9	because	because	SCONJ
ap-392	228	10	of	of	ADP
ap-392	228	11	the	the	DET
ap-392	228	12	assumption	assumption	NOUN
ap-392	228	13	that	that	SCONJ
ap-392	228	14	the	the	DET
ap-392	228	15	grain	grain	NOUN
ap-392	228	16	surfaces	surface	NOUN
ap-392	228	17	are	be	AUX
ap-392	228	18	spherical	spherical	ADJ
ap-392	228	19	.	.	PUNCT
ap-392	229	1	7	7	NUM
ap-392	229	2	results	result	NOUN
ap-392	229	3	of	of	ADP
ap-392	229	4	tests	test	NOUN
ap-392	229	5	to	to	PART
ap-392	229	6	test	test	VERB
ap-392	229	7	the	the	DET
ap-392	229	8	algorithm	algorithm	NOUN
ap-392	229	9	,	,	PUNCT
ap-392	229	10	a	a	DET
ap-392	229	11	c++	c++	NOUN
ap-392	229	12	program	program	NOUN
ap-392	229	13	has	have	AUX
ap-392	229	14	been	be	AUX
ap-392	229	15	created	create	VERB
ap-392	229	16	.	.	PUNCT
ap-392	230	1	images	image	NOUN
ap-392	230	2	with	with	ADP
ap-392	230	3	the	the	DET
ap-392	230	4	grain	grain	NOUN
ap-392	230	5	stmcture	stmcture	NOUN
ap-392	230	6	of	of	ADP
ap-392	230	7	the	the	DET
ap-392	230	8	surface	surface	NOUN
ap-392	230	9	of	of	ADP
ap-392	230	10	gold	gold	NOUN
ap-392	230	11	samples	sample	NOUN
ap-392	230	12	are	be	AUX
ap-392	230	13	used	use	VERB
ap-392	230	14	as	as	ADP
ap-392	230	15	input	input	NOUN
ap-392	230	16	images	image	NOUN
ap-392	230	17	for	for	ADP
ap-392	230	18	the	the	DET
ap-392	230	19	algorithm	algorithm	NOUN
ap-392	230	20	.	.	PUNCT
ap-392	231	1	the	the	DET
ap-392	231	2	generation	generation	NOUN
ap-392	231	3	of	of	ADP
ap-392	231	4	ideal	ideal	ADJ
ap-392	231	5	circles	circle	NOUN
ap-392	231	6	is	be	AUX
ap-392	231	7	also	also	ADV
ap-392	231	8	inserted	insert	VERB
ap-392	231	9	to	to	ADP
ap-392	231	10	the	the	DET
ap-392	231	11	program	program	NOUN
ap-392	231	12	.	.	PUNCT
ap-392	232	1	when	when	SCONJ
ap-392	232	2	implementing	implement	VERB
ap-392	232	3	the	the	DET
ap-392	232	4	algorithm	algorithm	NOUN
ap-392	232	5	,	,	PUNCT
ap-392	232	6	emphasis	emphasis	NOUN
ap-392	232	7	is	be	AUX
ap-392	232	8	put	put	VERB
ap-392	232	9	on	on	ADP
ap-392	232	10	the	the	DET
ap-392	232	11	functionality	functionality	NOUN
ap-392	232	12	ofthe	ofthe	NOUN
ap-392	232	13	program	program	NOUN
ap-392	232	14	and	and	CCONJ
ap-392	232	15	on	on	ADP
ap-392	232	16	speed	speed	NOUN
ap-392	232	17	ofcalculation	ofcalculation	NOUN
ap-392	232	18	.	.	PUNCT
ap-392	233	1	the	the	DET
ap-392	233	2	processing	processing	NOUN
ap-392	233	3	of	of	ADP
ap-392	233	4	one	one	NUM
ap-392	233	5	image	image	NOUN
ap-392	233	6	takes	take	VERB
ap-392	233	7	about	about	ADV
ap-392	233	8	20	20	NUM
ap-392	233	9	seconds	second	NOUN
ap-392	233	10	,	,	PUNCT
ap-392	233	11	and	and	CCONJ
ap-392	233	12	the	the	DET
ap-392	233	13	boundaries	boundary	NOUN
ap-392	233	14	between	between	ADP
ap-392	233	15	grains	grain	NOUN
ap-392	233	16	are	be	AUX
ap-392	233	17	found	find	VERB
ap-392	233	18	to	to	PART
ap-392	233	19	be	be	AUX
ap-392	233	20	almost	almost	ADV
ap-392	233	21	correct	correct	ADJ
ap-392	233	22	.	.	PUNCT
ap-392	234	1	worse	bad	ADJ
ap-392	234	2	results	result	NOUN
ap-392	234	3	are	be	AUX
ap-392	234	4	obtained	obtain	VERB
ap-392	234	5	when	when	SCONJ
ap-392	234	6	calculating	calculate	VERB
ap-392	234	7	the	the	DET
ap-392	234	8	probability	probability	NOUN
ap-392	234	9	distribution	distribution	NOUN
ap-392	234	10	grain	grain	NOUN
ap-392	234	11	size	size	NOUN
ap-392	234	12	.	.	PUNCT
ap-392	235	1	the	the	DET
ap-392	235	2	tests	test	NOUN
ap-392	235	3	were	be	AUX
ap-392	235	4	performed	perform	VERB
ap-392	235	5	with	with	ADP
ap-392	235	6	approximately	approximately	ADV
ap-392	235	7	100	100	NUM
ap-392	235	8	different	different	ADJ
ap-392	235	9	images	image	NOUN
ap-392	235	10	.	.	PUNCT
ap-392	236	1	in	in	ADP
ap-392	236	2	the	the	DET
ap-392	236	3	final	final	ADJ
ap-392	236	4	evaluation	evaluation	NOUN
ap-392	236	5	attention	attention	NOUN
ap-392	236	6	should	should	AUX
ap-392	236	7	be	be	AUX
ap-392	236	8	paid	pay	VERB
ap-392	236	9	mainly	mainly	ADV
ap-392	236	10	to	to	ADP
ap-392	236	11	the	the	DET
ap-392	236	12	following	follow	VERB
ap-392	236	13	stages	stage	NOUN
ap-392	236	14	of	of	ADP
ap-392	236	15	the	the	DET
ap-392	236	16	algorithm	algorithm	NOUN
ap-392	236	17	:	:	PUNCT
ap-392	236	18	o	o	NOUN
ap-392	236	19	categorization	categorization	NOUN
ap-392	236	20	of	of	ADP
ap-392	236	21	the	the	DET
ap-392	236	22	input	input	NOUN
ap-392	236	23	images	image	NOUN
ap-392	236	24	,	,	PUNCT
ap-392	236	25	.	.	PUNCT
ap-392	237	1	pre	pre	ADJ
ap-392	237	2	-	-	ADJ
ap-392	237	3	processing	processing	NOUN
ap-392	237	4	of	of	ADP
ap-392	237	5	the	the	DET
ap-392	237	6	input	input	NOUN
ap-392	237	7	images	image	NOUN
ap-392	237	8	,	,	PUNCT
ap-392	237	9	o	o	NOUN
ap-392	237	10	search	search	NOUN
ap-392	237	11	for	for	ADP
ap-392	237	12	grain	grain	NOUN
ap-392	237	13	boundaries	boundary	NOUN
ap-392	237	14	,	,	PUNCT
ap-392	237	15	o	o	NOUN
ap-392	237	16	calculation	calculation	NOUN
ap-392	237	17	of	of	ADP
ap-392	237	18	probability	probability	NOUN
ap-392	237	19	distribution	distribution	NOUN
ap-392	237	20	of	of	ADP
ap-392	237	21	grain	grain	NOUN
ap-392	237	22	size	size	NOUN
ap-392	237	23	.	.	PUNCT
ap-392	238	1	as	as	SCONJ
ap-392	238	2	the	the	DET
ap-392	238	3	input	input	NOUN
ap-392	238	4	images	image	NOUN
ap-392	238	5	are	be	AUX
ap-392	238	6	very	very	ADV
ap-392	238	7	different	different	ADJ
ap-392	238	8	,	,	PUNCT
ap-392	238	9	they	they	PRON
ap-392	238	10	are	be	AUX
ap-392	238	11	distributed	distribute	VERB
ap-392	238	12	to	to	ADP
ap-392	238	13	the	the	DET
ap-392	238	14	three	three	NUM
ap-392	238	15	categories	category	NOUN
ap-392	238	16	(	(	PUNCT
ap-392	238	17	see	see	VERB
ap-392	238	18	section	section	NOUN
ap-392	238	19	4	4	NUM
ap-392	238	20	)	)	PUNCT
ap-392	238	21	.	.	PUNCT
ap-392	239	1	each	each	DET
ap-392	239	2	category	category	NOUN
ap-392	239	3	is	be	AUX
ap-392	239	4	assigned	assign	VERB
ap-392	239	5	coeffrcients	coeffrcient	NOUN
ap-392	239	6	for	for	ADP
ap-392	239	7	pre	pre	ADJ
ap-392	239	8	-	-	ADJ
ap-392	239	9	processing	process	VERB
ap-392	239	10	the	the	DET
ap-392	239	11	input	input	NOUN
ap-392	239	12	image	image	NOUN
ap-392	239	13	,	,	PUNCT
ap-392	239	14	local	local	ADJ
ap-392	239	15	transformations	transformation	NOUN
ap-392	239	16	and	and	CCONJ
ap-392	239	17	searrhing	searrhe	VERB
ap-392	239	18	for	for	ADP
ap-392	239	19	the	the	DET
ap-392	239	20	grain	grain	NOUN
ap-392	239	21	boundaries	boundary	NOUN
ap-392	239	22	.	.	PUNCT
ap-392	240	1	the	the	DET
ap-392	240	2	input	input	NOUN
ap-392	240	3	image	image	NOUN
ap-392	240	4	can	can	AUX
ap-392	240	5	be	be	AUX
ap-392	240	6	taken	take	VERB
ap-392	240	7	back	back	ADV
ap-392	240	8	to	to	ADP
ap-392	240	9	one	one	NUM
ap-392	240	10	of	of	ADP
ap-392	240	11	the	the	DET
ap-392	240	12	categories	category	NOUN
ap-392	240	13	manually	manually	ADV
ap-392	240	14	by	by	ADP
ap-392	240	15	the	the	DET
ap-392	240	16	user	user	NOUN
ap-392	240	17	or	or	CCONJ
ap-392	240	18	automatically	automatically	ADV
ap-392	240	19	by	by	ADP
ap-392	240	20	the	the	DET
ap-392	240	21	algorithm	algorithm	NOUN
ap-392	240	22	.	.	PUNCT
ap-392	241	1	pre	pre	ADJ
ap-392	241	2	-	-	ADJ
ap-392	241	3	processing	processing	NOUN
ap-392	241	4	of	of	ADP
ap-392	241	5	the	the	DET
ap-392	241	6	input	input	NOUN
ap-392	241	7	images	image	NOUN
ap-392	241	8	is	be	AUX
ap-392	241	9	performed	perform	VERB
ap-392	241	10	by	by	ADP
ap-392	241	11	means	mean	NOUN
ap-392	241	12	of	of	ADP
ap-392	241	13	standard	standard	ADJ
ap-392	241	14	transformations	transformation	NOUN
ap-392	241	15	.	.	PUNCT
ap-392	242	1	in	in	ADP
ap-392	242	2	this	this	DET
ap-392	242	3	stage	stage	NOUN
ap-392	242	4	of	of	ADP
ap-392	242	5	the	the	DET
ap-392	242	6	algorithm	algorithm	NOUN
ap-392	242	7	,	,	PUNCT
ap-392	242	8	60	60	NUM
ap-392	242	9	emphasis	emphasis	NOUN
ap-392	242	10	is	be	AUX
ap-392	242	11	put	put	VERB
ap-392	242	12	on	on	ADP
ap-392	242	13	enhancing	enhance	VERB
ap-392	242	14	the	the	DET
ap-392	242	15	quality	quality	NOUN
ap-392	242	16	of	of	ADP
ap-392	242	17	the	the	DET
ap-392	242	18	input	input	NOUN
ap-392	242	19	images	image	NOUN
ap-392	242	20	.	.	PUNCT
ap-392	243	1	the	the	DET
ap-392	243	2	input	input	NOUN
ap-392	243	3	images	image	NOUN
ap-392	243	4	are	be	AUX
ap-392	243	5	very	very	ADV
ap-392	243	6	noisy	noisy	ADJ
ap-392	243	7	and	and	CCONJ
ap-392	243	8	include	include	VERB
ap-392	243	9	many	many	ADJ
ap-392	243	10	artificial	artificial	ADJ
ap-392	243	11	artefacts	artefact	NOUN
ap-392	243	12	.	.	PUNCT
ap-392	244	1	without	without	ADP
ap-392	244	2	this	this	DET
ap-392	244	3	stage	stage	NOUN
ap-392	244	4	,	,	PUNCT
ap-392	244	5	the	the	DET
ap-392	244	6	algorithm	algorithm	NOUN
ap-392	244	7	would	would	AUX
ap-392	244	8	perhaps	perhaps	ADV
ap-392	244	9	fail	fail	VERB
ap-392	244	10	.	.	PUNCT
ap-392	245	1	the	the	DET
ap-392	245	2	stage	stage	NOUN
ap-392	245	3	ofsearching	ofsearche	VERB
ap-392	245	4	boundaries	boundary	NOUN
ap-392	245	5	between	between	ADP
ap-392	245	6	grains	grain	NOUN
ap-392	245	7	works	work	VERB
ap-392	245	8	very	very	ADV
ap-392	245	9	well	well	ADV
ap-392	245	10	,	,	PUNCT
ap-392	245	11	even	even	ADV
ap-392	245	12	with	with	ADP
ap-392	245	13	very	very	ADV
ap-392	245	14	poor	poor	ADJ
ap-392	245	15	quality	quality	NOUN
ap-392	245	16	input	input	NOUN
ap-392	245	17	images	image	NOUN
ap-392	245	18	.	.	PUNCT
ap-392	246	1	the	the	DET
ap-392	246	2	boundaries	boundary	NOUN
ap-392	246	3	correspond	correspond	VERB
ap-392	246	4	to	to	ADP
ap-392	246	5	the	the	DET
ap-392	246	6	real	real	ADJ
ap-392	246	7	boundaries	boundary	NOUN
ap-392	246	8	that	that	PRON
ap-392	246	9	can	can	AUX
ap-392	246	10	be	be	AUX
ap-392	246	11	seen	see	VERB
ap-392	246	12	.	.	PUNCT
ap-392	247	1	this	this	PRON
ap-392	247	2	is	be	AUX
ap-392	247	3	good	good	ADJ
ap-392	247	4	for	for	ADP
ap-392	247	5	the	the	DET
ap-392	247	6	algorithm	algorithm	NOUN
ap-392	247	7	because	because	SCONJ
ap-392	247	8	the	the	DET
ap-392	247	9	following	follow	VERB
ap-392	247	10	stage	stage	NOUN
ap-392	247	11	of	of	ADP
ap-392	247	12	calculating	calculate	VERB
ap-392	247	13	the	the	DET
ap-392	247	14	probability	probability	NOUN
ap-392	247	15	distribution	distribution	NOUN
ap-392	247	16	is	be	AUX
ap-392	247	17	very	very	ADV
ap-392	247	18	dependent	dependent	ADJ
ap-392	247	19	on	on	ADP
ap-392	247	20	the	the	DET
ap-392	247	21	results	result	NOUN
ap-392	247	22	of	of	ADP
ap-392	247	23	this	this	DET
ap-392	247	24	stage	stage	NOUN
ap-392	247	25	,	,	PUNCT
ap-392	247	26	especially	especially	ADV
ap-392	247	27	in	in	ADP
ap-392	247	28	the	the	DET
ap-392	247	29	case	case	NOUN
ap-392	247	30	of	of	ADP
ap-392	247	31	the	the	DET
ap-392	247	32	method	method	NOUN
ap-392	247	33	of	of	ADP
ap-392	247	34	description	description	NOUN
ap-392	247	35	of	of	ADP
ap-392	247	36	the	the	DET
ap-392	247	37	local	local	ADJ
ap-392	247	38	curvature	curvature	NOUN
ap-392	247	39	.	.	PUNCT
ap-392	248	1	the	the	DET
ap-392	248	2	graph	graph	NOUN
ap-392	248	3	of	of	ADP
ap-392	248	4	the	the	DET
ap-392	248	5	probability	probability	NOUN
ap-392	248	6	distribution	distribution	NOUN
ap-392	248	7	of	of	ADP
ap-392	248	8	grain	grain	NOUN
ap-392	248	9	size	size	NOUN
ap-392	248	10	given	give	VERB
ap-392	248	11	by	by	ADP
ap-392	248	12	the	the	DET
ap-392	248	13	method	method	NOUN
ap-392	248	14	of	of	ADP
ap-392	248	15	the	the	DET
ap-392	248	16	two	two	NUM
ap-392	248	17	most	most	ADV
ap-392	248	18	distant	distant	ADJ
ap-392	248	19	points	point	NOUN
ap-392	248	20	is	be	AUX
ap-392	248	21	shown	show	VERB
ap-392	248	22	in	in	ADP
ap-392	248	23	fig	fig	NOUN
ap-392	248	24	.	.	PUNCT
ap-392	249	1	16	16	NUM
ap-392	249	2	.	.	PUNCT
ap-392	250	1	iig	iig	PROPN
ap-392	250	2	.	.	PUNCT
ap-392	251	1	l7	l7	PROPN
ap-392	251	2	is	be	AUX
ap-392	251	3	the	the	DET
ap-392	251	4	same	same	ADJ
ap-392	251	5	graph	graph	NOUN
ap-392	251	6	,	,	PUNCT
ap-392	251	7	for	for	ADP
ap-392	251	8	the	the	DET
ap-392	251	9	method	method	NOUN
ap-392	251	10	of	of	ADP
ap-392	251	11	description	description	NOUN
ap-392	251	12	of	of	ADP
ap-392	251	13	the	the	DET
ap-392	251	14	local	local	ADJ
ap-392	251	15	curvature	curvature	NOUN
ap-392	251	16	.	.	PUNCT
ap-392	252	1	the	the	DET
ap-392	252	2	input	input	NOUN
ap-392	252	3	image	image	NOUN
ap-392	252	4	for	for	ADP
ap-392	252	5	the	the	DET
ap-392	252	6	algorithm	algorithm	NOUN
ap-392	252	7	is	be	AUX
ap-392	252	8	taken	take	VERB
ap-392	252	9	from	from	ADP
ap-392	252	10	fig	fig	NOUN
ap-392	252	11	.	.	PUNCT
ap-392	253	1	l5	l5	PROPN
ap-392	253	2	with	with	ADP
ap-392	253	3	ideal	ideal	ADJ
ap-392	253	4	circles	circle	NOUN
ap-392	253	5	.	.	PUNCT
ap-392	254	1	trig	trig	PROPN
ap-392	254	2	.	.	PUNCT
ap-392	255	1	l6	l6	PROPN
ap-392	255	2	and	and	CCONJ
ap-392	255	3	iig	iig	PROPN
ap-392	255	4	.	.	PUNCT
ap-392	256	1	l7	l7	PROPN
ap-392	256	2	show	show	VERB
ap-392	256	3	that	that	SCONJ
ap-392	256	4	the	the	DET
ap-392	256	5	method	method	NOUN
ap-392	256	6	of	of	ADP
ap-392	256	7	two	two	NUM
ap-392	256	8	most	most	ADV
ap-392	256	9	distant	distant	ADJ
ap-392	256	10	points	point	NOUN
ap-392	256	11	fig	fig	NOUN
ap-392	256	12	.	.	PUNCT
ap-392	257	1	i5	i5	ADJ
ap-392	257	2	:	:	PUNCT
ap-392	257	3	image	image	NOUN
ap-392	257	4	with	with	ADP
ap-392	257	5	ideal	ideal	ADJ
ap-392	257	6	circles	circle	NOUN
ap-392	257	7	(	(	PUNCT
ap-392	257	8	radius	radius	NOUN
ap-392	257	9	25	25	NUM
ap-392	257	10	pixels	pixel	NOUN
ap-392	257	11	)	)	PUNCT
ap-392	257	12	rate	rate	NOUN
ap-392	257	13	3	3	NUM
ap-392	257	14	1,1	1,1	NUM
ap-392	257	15	2,4	2,4	NUM
ap-392	257	16	{	{	PUNCT
ap-392	257	17	ra	ra	NOUN
ap-392	257	18	,	,	PUNCT
ap-392	257	19	l	l	PROPN
ap-392	257	20	1a	1a	X
ap-392	257	21	1f	1f	NUM
ap-392	257	22	l.z	l.z	VERB
ap-392	257	23	na	na	ADP
ap-392	257	24	nr	nr	NOUN
ap-392	257	25	u	u	PROPN
ap-392	257	26	-	-	PROPN
ap-392	257	27	j	j	ADJ
ap-392	258	1	o	o	NOUN
ap-392	259	1	zs	zs	INTJ
ap-392	260	1	so	so	ADV
ap-392	260	2	zs	zs	PROPN
ap-392	260	3	roo	roo	PROPN
ap-392	260	4	tzs	tzs	PROPN
ap-392	260	5	tso	tso	PROPN
ap-392	260	6	t7e	t7e	NUM
ap-392	260	7	m	m	VERB
ap-392	260	8	zn	zn	PROPN
ap-392	260	9	zso	zso	PROPN
ap-392	260	10	inensity	inensity	PROPN
ap-392	260	11	fig	fig	NOUN
ap-392	260	12	.	.	PUNCT
ap-392	261	1	l6	l6	NOUN
ap-392	261	2	:	:	PUNCT
ap-392	261	3	method	method	NOUN
ap-392	261	4	of	of	ADP
ap-392	261	5	the	the	DET
ap-392	261	6	two	two	NUM
ap-392	261	7	most	most	ADV
ap-392	261	8	distant	distant	ADJ
ap-392	261	9	points	point	NOUN
ap-392	261	10	rale	rale	PROPN
ap-392	261	11	ine	ine	PROPN
ap-392	261	12	ns	ns	PROPN
ap-392	261	13	ity	ity	PROPN
ap-392	261	14	fig	fig	NOUN
ap-392	261	15	.	.	PUNCT
ap-392	262	1	l7	l7	PROPN
ap-392	262	2	:	:	PUNCT
ap-392	262	3	method	method	NOUN
ap-392	262	4	of	of	ADP
ap-392	262	5	desoiption	desoiption	NOUN
ap-392	262	6	of	of	ADP
ap-392	262	7	the	the	DET
ap-392	262	8	local	local	ADJ
ap-392	262	9	curvature	curvature	NOUN
ap-392	262	10	^e	^e	PROPN
ap-392	262	11	f^9	f^9	NOUN
ap-392	262	12	#	#	NOUN
ap-392	262	13	u	u	NOUN
ap-392	262	14	,	,	PUNCT
ap-392	262	15	t	t	PROPN
ap-392	262	16	=	=	PROPN
ap-392	262	17	lffiat	lffiat	PROPN
ap-392	262	18	acta	acta	PROPN
ap-392	262	19	polytechnica	polytechnica	PROPN
ap-392	262	20	vol	vol	NOUN
ap-392	262	21	.	.	PUNCT
ap-392	263	1	43	43	NUM
ap-392	263	2	no	no	INTJ
ap-392	263	3	.	.	PUNCT
ap-392	264	1	ll200	ll200	NOUN
ap-392	264	2	}	}	PUNCT
ap-392	264	3	delivers	deliver	VERB
ap-392	264	4	better	well	ADJ
ap-392	264	5	results	result	NOUN
ap-392	264	6	than	than	ADP
ap-392	264	7	the	the	DET
ap-392	264	8	merhod	merhod	NOUN
ap-392	264	9	of	of	ADP
ap-392	264	10	description	description	NOUN
ap-392	264	11	of	of	ADP
ap-392	264	12	the	the	DET
ap-392	264	13	local	local	ADJ
ap-392	264	14	curvarure	curvarure	NOUN
ap-392	264	15	.	.	PUNCT
ap-392	265	1	the	the	DET
ap-392	265	2	rate	rate	NOUN
ap-392	265	3	ofdispersion	ofdispersion	NOUN
ap-392	265	4	ofthe	ofthe	NOUN
ap-392	265	5	radii	radius	NOUN
ap-392	265	6	is	be	AUX
ap-392	265	7	obviously	obviously	ADV
ap-392	265	8	larger	large	ADJ
ap-392	265	9	in	in	ADP
ap-392	265	10	the	the	DET
ap-392	265	11	second	second	ADJ
ap-392	265	12	figure	figure	NOUN
ap-392	265	13	.	.	PUNCT
ap-392	266	1	this	this	PRON
ap-392	266	2	is	be	AUX
ap-392	266	3	because	because	SCONJ
ap-392	266	4	the	the	DET
ap-392	266	5	input	input	NOUN
ap-392	266	6	rmages	rmage	NOUN
ap-392	266	7	have	have	VERB
ap-392	266	8	very	very	ADV
ap-392	266	9	poor	poor	ADJ
ap-392	266	10	quality	quality	NOUN
ap-392	266	11	and	and	CCONJ
ap-392	266	12	the	the	DET
ap-392	266	13	calculations	calculation	NOUN
ap-392	266	14	of	of	ADP
ap-392	266	15	the	the	DET
ap-392	266	16	second	second	ADJ
ap-392	266	17	derivative.s	derivative.s	NOUN
ap-392	266	18	(	(	PUNCT
ap-392	266	19	n	n	CCONJ
ap-392	266	20	-	-	PUNCT
ap-392	266	21	ecessary	ecessary	ADJ
ap-392	266	22	for	for	ADP
ap-392	266	23	calculating	calculate	VERB
ap-392	266	24	the	the	DET
ap-392	266	25	local	local	ADJ
ap-392	266	26	curvatures	curvature	NOUN
ap-392	266	27	)	)	PUNCT
ap-392	266	28	are	be	AUX
ap-392	266	29	numerically	numerically	ADV
ap-392	266	30	ill	ill	ADV
ap-392	266	31	posed	pose	VERB
ap-392	266	32	.	.	PUNCT
ap-392	267	1	the	the	DET
ap-392	267	2	method	method	NOUN
ap-392	267	3	of	of	ADP
ap-392	267	4	description	description	NOUN
ap-392	267	5	of	of	ADP
ap-392	267	6	the	the	DET
ap-392	267	7	local	local	ADJ
ap-392	267	8	curvature	curvature	NOUN
ap-392	267	9	has	have	VERB
ap-392	267	10	its	its	PRON
ap-392	267	11	use	use	NOUN
ap-392	267	12	mainly	mainly	ADV
ap-392	267	13	when	when	SCONJ
ap-392	267	14	calculating	calculate	VERB
ap-392	267	15	the	the	DET
ap-392	267	16	distribution	distribution	NOUN
ap-392	267	17	probability	probability	NOUN
ap-392	267	18	of	of	ADP
ap-392	267	19	"	"	PUNCT
ap-392	267	20	ideal	ideal	ADJ
ap-392	267	21	spheres	sphere	NOUN
ap-392	267	22	"	"	PUNCT
ap-392	267	23	sizes	size	NOUN
ap-392	267	24	.	.	PUNCT
ap-392	268	1	it	it	PRON
ap-392	268	2	.u.rt	.u.rt	PROPN
ap-392	268	3	.	.	PUNCT
ap-392	269	1	used	use	VERB
ap-392	269	2	,	,	PUNCT
ap-392	269	3	e.g.	e.g.	ADV
ap-392	269	4	,	,	PUNCT
ap-392	269	5	in	in	ADP
ap-392	269	6	programs	program	NOUN
ap-392	269	7	manipulating	manipulate	VERB
ap-392	269	8	ideal	ideal	ADJ
ap-392	269	9	shapes	shape	NOUN
ap-392	269	10	(	(	PUNCT
ap-392	269	11	circles	circle	NOUN
ap-392	269	12	,	,	PUNCT
ap-392	269	13	spheres	sphere	NOUN
ap-392	269	14	)	)	PUNCT
ap-392	269	15	.	.	PUNCT
ap-392	270	1	8	8	NUM
ap-392	270	2	other	other	ADJ
ap-392	270	3	possible	possible	ADJ
ap-392	270	4	solutions	solution	NOUN
ap-392	270	5	other	other	ADJ
ap-392	270	6	possible	possible	ADJ
ap-392	270	7	methods	method	NOUN
ap-392	270	8	for	for	ADP
ap-392	270	9	localizing	localize	VERB
ap-392	270	10	grain	grain	NOUN
ap-392	270	11	boundaries	boundary	NOUN
ap-392	270	12	may	may	AUX
ap-392	270	13	include	include	VERB
ap-392	270	14	edge	edge	NOUN
ap-392	270	15	detectors	detector	NOUN
ap-392	270	16	or	or	CCONJ
ap-392	270	17	morphologicil	morphologicil	NOUN
ap-392	270	18	operations	operation	NOUN
ap-392	270	19	.	.	PUNCT
ap-392	271	1	ex	ex	X
ap-392	271	2	_	_	NOUN
ap-392	271	3	perience	perience	NOUN
ap-392	271	4	acquired	acquire	VERB
ap-392	271	5	while	while	SCONJ
ap-392	271	6	implementing	implement	VERB
ap-392	271	7	rhe	rhe	NOUN
ap-392	271	8	algorithm	algorithm	NOUN
ap-392	271	9	shows	show	VERB
ap-392	271	10	that	that	SCONJ
ap-392	271	11	these	these	DET
ap-392	271	12	methods	method	NOUN
ap-392	271	13	(	(	PUNCT
ap-392	271	14	based	base	VERB
ap-392	271	15	on	on	ADP
ap-392	271	16	edge	edge	NOUN
ap-392	271	17	detectori	detectori	NOUN
ap-392	271	18	or	or	CCONJ
ap-392	271	19	morohoiogical	morohoiogical	ADJ
ap-392	271	20	operations	operation	NOUN
ap-392	271	21	)	)	PUNCT
ap-392	271	22	would	would	AUX
ap-392	271	23	probably	probably	ADV
ap-392	271	24	be	be	AUX
ap-392	271	25	less	less	ADJ
ap-392	271	26	c.orrecr	c.orrecr	NOUN
ap-392	271	27	,	,	PUNCT
ap-392	271	28	and	and	CCONJ
ap-392	271	29	they	they	PRON
ap-392	271	30	would	would	AUX
ap-392	271	31	be	be	AUX
ap-392	271	32	more	more	ADJ
ap-392	271	33	diflicult	diflicult	NOUN
ap-392	271	34	to	to	ADP
ap-392	271	35	implemenr	implemenr	PROPN
ap-392	271	36	.	.	PUNCT
ap-392	272	1	9	9	NUM
ap-392	272	2	conclusions	conclusion	NOUN
ap-392	272	3	in	in	ADP
ap-392	272	4	this	this	DET
ap-392	272	5	papel	papel	NOUN
ap-392	272	6	the	the	DET
ap-392	272	7	results	result	NOUN
ap-392	272	8	of'scanning	of'scanning	PROPN
ap-392	272	9	of	of	ADP
ap-392	272	10	the	the	DET
ap-392	272	11	surfaces	surface	NOUN
ap-392	272	12	of	of	ADP
ap-392	272	13	structural	structural	ADJ
ap-392	272	14	elements	element	NOUN
ap-392	272	15	at	at	ADP
ap-392	272	16	nano	nano	NOUN
ap-392	272	17	-	-	PUNCT
ap-392	272	18	level	level	NOUN
ap-392	272	19	arj	arj	NOUN
ap-392	272	20	improved	improve	VERB
ap-392	272	21	using	use	VERB
ap-392	272	22	mathematical	mathematical	ADJ
ap-392	272	23	approaches	approach	NOUN
ap-392	272	24	.	.	PUNCT
ap-392	273	1	among	among	ADP
ap-392	273	2	these	these	DET
ap-392	273	3	approaches	approach	NOUN
ap-392	273	4	belongi	belongi	NOUN
ap-392	273	5	smoothening	smoothen	VERB
ap-392	273	6	of	of	ADP
ap-392	273	7	the	the	DET
ap-392	273	8	scanned	scan	VERB
ap-392	273	9	surfaces	surface	NOUN
ap-392	273	10	and	and	CCONJ
ap-392	273	11	searching	search	VERB
ap-392	273	12	fjr	fjr	ADJ
ap-392	273	13	boundaries	boundary	NOUN
ap-392	273	14	or	or	CCONJ
ap-392	273	15	contour	contour	NOUN
ap-392	273	16	cur	cur	NOUN
ap-392	273	17	-	-	PUNCT
ap-392	273	18	ves	f	NOUN
ap-392	273	19	being	be	AUX
ap-392	273	20	related	relate	VERB
ap-392	273	21	to	to	ADP
ap-392	273	22	some	some	DET
ap-392	273	23	livels	livel	NOUN
ap-392	273	24	.	.	PUNCT
ap-392	274	1	the	the	DET
ap-392	274	2	peaks	peak	NOUN
ap-392	274	3	of	of	ADP
ap-392	274	4	the	the	DET
ap-392	274	5	surfaces	surface	NOUN
ap-392	274	6	are	be	AUX
ap-392	274	7	also	also	ADV
ap-392	274	8	determined	determine	VERB
ap-392	274	9	.	.	PUNCT
ap-392	275	1	accuracy	accuracy	NOUN
ap-392	275	2	study	study	NOUN
ap-392	275	3	is	be	AUX
ap-392	275	4	carried	carry	VERB
ap-392	275	5	out	out	ADP
ap-392	275	6	for	for	ADP
ap-392	275	7	couple	couple	NOUN
ap-392	275	8	of	of	ADP
ap-392	275	9	samples	sample	NOUN
ap-392	275	10	.	.	PUNCT
ap-392	276	1	different	different	ADJ
ap-392	276	2	procedures	procedure	NOUN
ap-392	276	3	suggested	suggest	VERB
ap-392	276	4	provide	provide	VERB
ap-392	276	5	reasonable	reasonable	ADJ
ap-392	276	6	results	result	NOUN
ap-392	276	7	in	in	ADP
ap-392	276	8	rhe	rhe	NOUN
ap-392	276	9	case	case	NOUN
ap-392	276	10	of	of	ADP
ap-392	276	11	different	different	ADJ
ap-392	276	12	samples	sample	NOUN
ap-392	276	13	.	.	PUNCT
ap-392	277	1	[	[	X
ap-392	277	2	3	3	NUM
ap-392	277	3	]	]	SYM
ap-392	277	4	jarkrans	jarkran	NOUN
ap-392	277	5	,	,	PUNCT
ap-392	277	6	t.	t.	PROPN
ap-392	277	7	:	:	PUNCT
ap-392	277	8	algorithm	algorithm	PROPN
ap-392	277	9	for	for	ADP
ap-392	277	10	ceil	ceil	PROPN
ap-392	277	11	image	image	NOUN
ap-392	277	12	amtlsis	amtlsis	NOUN
ap-392	277	13	in	in	ADP
ap-392	277	14	cynlogy	cynlogy	NOUN
ap-392	277	15	and	and	CCONJ
ap-392	277	16	pathologl	pathologl	PROPN
ap-392	277	17	dissertntion	dissertntion	NOUN
ap-392	277	18	thues	thue	NOUN
ap-392	277	19	.	.	PUNCT
ap-392	278	1	acta'universif	acta'universif	NOUN
ap-392	278	2	_	_	PRON
ap-392	279	1	atis	atis	ADJ
ap-392	279	2	upsaliensis	upsaliensis	NOUN
ap-392	279	3	uppsai	uppsai	VERB
ap-392	279	4	-	-	PUNCT
ap-392	279	5	a	a	NOUN
ap-392	279	6	,	,	PUNCT
ap-392	279	7	i996	i996	PROPN
ap-392	279	8	.	.	PUNCT
ap-392	280	1	l4l	l4l	PROPN
ap-392	280	2	bamford	bamford	PROPN
ap-392	280	3	,	,	PUNCT
ap-392	280	4	p.	p.	PROPN
ap-392	280	5	,	,	PUNCT
ap-392	280	6	lovell	lovell	PROPN
ap-392	280	7	,	,	PUNCT
ap-392	280	8	b.	b.	PROPN
ap-392	280	9	:	:	PUNCT
ap-392	280	10	a	a	DET
ap-392	280	11	water	water	NOUN
ap-392	280	12	imwrsion	imwrsion	NOUN
ap-392	280	13	algorithn	algorithn	VERB
ap-392	280	14	for	for	ADP
ap-392	280	15	cytologzcal	cytologzcal	ADJ
ap-392	280	16	imnge	imnge	NOUN
ap-392	280	17	segmmtation	segmmtation	NOUN
ap-392	280	18	.	.	PUNCT
ap-392	281	1	aprs	aprs	NOUN
ap-392	281	2	l	l	NOUN
ap-392	281	3	-	-	NOUN
ap-392	281	4	age	age	NOUN
ap-392	281	5	seg	seg	PROPN
ap-392	281	6	-	-	PUNCT
ap-392	281	7	enia	enia	NOUN
ap-392	281	8	_	_	PRON
ap-392	281	9	tion	tion	NOUN
ap-392	281	10	workshop	workshop	NOUN
ap-392	281	11	,	,	PUNCT
ap-392	281	12	university	university	NOUN
ap-392	281	13	of	of	ADP
ap-392	281	14	technoiogy	technoiogy	NOUN
ap-392	281	15	-sydn.y	-sydn.y	PROPN
ap-392	281	16	,	,	PUNCT
ap-392	281	17	december	december	PROPN
ap-392	281	18	1996	1996	NUM
ap-392	281	19	,	,	PUNCT
ap-392	281	20	p.	p.	PROPN
ap-392	281	21	7b-29	7b-29	PROPN
ap-392	281	22	.	.	PUNCT
ap-392	282	1	t5l	t5l	PROPN
ap-392	282	2	bamford	bamford	PROPN
ap-392	282	3	,	,	PUNCT
ap-392	282	4	p.	p.	PROPN
ap-392	282	5	,	,	PUNCT
ap-392	282	6	lovell	lovell	PROPN
ap-392	282	7	,	,	PUNCT
ap-392	282	8	b	b	NOUN
ap-392	282	9	:	:	PUNCT
ap-392	282	10	improaing	improae	VERB
ap-392	282	11	the	the	DET
ap-392	282	12	robustness	robustness	NOUN
ap-392	282	13	of	of	ADP
ap-392	282	14	cell	cell	NOUN
ap-392	282	15	nuclzus	nuclzus	NOUN
ap-392	282	16	segmentati	segmentati	NOUN
ap-392	282	17	,	,	PUNCT
ap-392	282	18	on	on	ADP
ap-392	282	19	.	.	PUNCT
ap-392	283	1	proc	proc	NOUN
ap-392	283	2	.	.	PUNCT
ap-392	284	1	british	british	ADJ
ap-392	284	2	machine	machine	PROPN
ap-392	284	3	vision	vision	PROPN
ap-392	284	4	conf	conf	PROPN
ap-392	284	5	.	.	PUNCT
ap-392	284	6	,	,	PUNCT
ap-392	284	7	bmvc'98	bmvc'98	PROPN
ap-392	284	8	,	,	PUNCT
ap-392	284	9	england	england	PROPN
ap-392	284	10	(	(	PUNCT
ap-392	284	11	uk	uk	PROPN
ap-392	284	12	):	):	PUNCT
ap-392	284	13	university	university	NOUN
ap-392	284	14	of	of	ADP
ap-392	284	15	south	south	PROPN
ap-392	284	16	_	_	PROPN
ap-392	285	1	ampton	ampton	NOUN
ap-392	285	2	,	,	PUNCT
ap-392	285	3	september	september	PROPN
ap-392	285	4	1998	1998	NUM
ap-392	285	5	,	,	PUNCT
ap-392	285	6	p.	p.	NOUN
ap-392	285	7	bl8	bl8	PROPN
ap-392	285	8	-	-	PUNCT
ap-392	285	9	524	524	NUM
ap-392	285	10	.	.	PUNCT
ap-392	286	1	16l	16l	PROPN
ap-392	286	2	bengtsson	bengtsson	PROPN
ap-392	286	3	,	,	PUNCT
ap-392	286	4	e.	e.	PROPN
ap-392	286	5	:	:	PUNCT
ap-392	286	6	the	the	DET
ap-392	286	7	measuring	measuring	NOUN
ap-392	286	8	of	of	ADP
ap-392	286	9	cell	cell	NOUN
ap-392	286	10	features	feature	NOUN
ap-392	286	11	.	.	PUNCT
ap-392	287	1	anal	anal	ADJ
ap-392	287	2	.	.	PUNCT
ap-392	287	3	quant	quant	PROPN
ap-392	287	4	.	.	PUNCT
ap-392	288	1	cyrol	cyrol	PROPN
ap-392	288	2	.	.	PUNCT
ap-392	288	3	,	,	PUNCT
ap-392	289	1	vol.9	vol.9	PROPN
ap-392	289	2	,	,	PUNCT
ap-392	289	3	(	(	PUNCT
ap-392	289	4	june	june	PROPN
ap-392	289	5	l98z	l98z	PROPN
ap-392	289	6	)	)	PUNCT
ap-392	289	7	,	,	PUNCT
ap-392	289	8	no	no	INTJ
ap-392	289	9	.	.	PUNCT
ap-392	289	10	3,p.212_217	3,p.212_217	NUM
ap-392	289	11	.	.	PUNCT
ap-392	290	1	i7l	i7l	NOUN
ap-392	290	2	maurel	maurel	PROPN
ap-392	290	3	,	,	PUNCT
ap-392	290	4	c.	c.	PROPN
ap-392	290	5	,	,	PUNCT
ap-392	290	6	coratger	coratger	NOUN
ap-392	290	7	,	,	PUNCT
ap-392	290	8	r.	r.	PROPN
ap-392	290	9	,	,	PUNCT
ap-392	290	10	ajustron	ajustron	PROPN
ap-392	290	11	,	,	PUNCT
ap-392	290	12	f.	f.	PROPN
ap-392	290	13	,	,	PUNCT
ap-392	290	14	seine	seine	PROPN
ap-392	290	15	,	,	PUNCT
ap-392	290	16	g.	g.	PROPN
ap-392	290	17	,	,	PUNCT
ap-392	290	18	pchou	pchou	PROPN
ap-392	290	19	,	,	PUNCT
ap-392	290	20	r.	r.	PROPN
ap-392	290	21	,	,	PUNCT
ap-392	290	22	beauvillain	beauvillain	NOUN
ap-392	290	23	,	,	PUNCT
ap-392	290	24	j.	j.	PROPN
ap-392	290	25	:	:	PUNCT
ap-392	290	26	effect	effect	NOUN
ap-392	290	27	of	of	ADP
ap-392	290	28	multiple	multiple	ADJ
ap-392	290	29	tips	tip	NOUN
ap-392	290	30	on	on	ADP
ap-392	290	31	light	light	ADJ
ap-392	290	32	emis	emi	NOUN
ap-392	290	33	_	_	X
ap-392	290	34	sion	sion	NOUN
ap-392	290	35	induced	induce	VERB
ap-392	290	36	b1	b1	PROPN
ap-392	290	37	stm	stm	PROPN
ap-392	290	38	frcm	frcm	PROPN
ap-392	290	39	gold	gold	PROPN
ap-392	290	40	nanostru	nanostru	PROPN
ap-392	290	41	,	,	PUNCT
ap-392	290	42	clzres	clzre	NOUN
ap-392	290	43	.	.	PUNCT
ap-392	291	1	ioulouse	ioulouse	NOUN
ap-392	291	2	(	(	PUNCT
ap-392	291	3	france	france	PROPN
ap-392	291	4	):	):	PUNCT
ap-392	291	5	cenrre	cenrre	PROPN
ap-392	291	6	d'elaboration	d'elaboration	PROPN
ap-392	291	7	des	des	X
ap-392	291	8	materiaux	materiaux	X
ap-392	291	9	er	er	INTJ
ap-392	291	10	d'etudes	d'etude	NOUN
ap-392	291	11	structurales	structurale	NOUN
ap-392	291	12	-	-	PUNCT
ap-392	291	13	cnrs	cnrs	NOUN
ap-392	291	14	.	.	PUNCT
ap-392	292	1	t8l	t8l	NOUN
ap-392	292	2	brandtberg	brandtberg	PROPN
ap-392	292	3	,	,	PUNCT
ap-392	292	4	t.	t.	PROPN
ap-392	292	5	:	:	PUNCT
ap-392	292	6	towards	towards	ADP
ap-392	292	7	structure	structure	NOUN
ap-392	292	8	-	-	PUNCT
ap-392	292	9	based	base	VERB
ap-392	292	10	ckusifi	ckusifi	NOUN
ap-392	292	11	,	,	PUNCT
ap-392	292	12	cation	cation	NOUN
ap-392	292	13	of	of	ADP
ap-392	292	14	tree	tree	NOUN
ap-392	292	15	crowns	crown	NOUN
ap-392	292	16	in	in	ADP
ap-392	292	17	high	high	ADJ
ap-392	292	18	spatial	spatial	ADJ
ap-392	292	19	resolution	resolution	NOUN
ap-392	292	20	aerinl'images	aerinl'image	VERB
ap-392	292	21	$	$	SYM
ap-392	292	22	multtple	multtple	ADJ
ap-392	292	23	-	-	PUNCT
ap-392	292	24	scale	scale	NOUN
ap-392	292	25	ana$sis	ana$sis	PROPN
ap-392	292	26	.	.	PUNCT
ap-392	293	1	scandj	scandj	PROPN
ap-392	293	2	,	,	PUNCT
ap-392	293	3	forest	forest	NOUN
ap-392	293	4	res	re	NOUN
ap-392	293	5	12	12	NUM
ap-392	293	6	,	,	PUNCT
ap-392	293	7	p.	p.	NOUN
ap-392	293	8	gg	gg	PROPN
ap-392	293	9	-	-	PUNCT
ap-392	293	10	g6	g6	PROPN
ap-392	293	11	.	.	PUNCT
ap-392	294	1	tgl	tgl	PROPN
ap-392	294	2	hwang	hwang	PROPN
ap-392	294	3	,	,	PUNCT
ap-392	294	4	i.	i.	PROPN
ap-392	294	5	s.	s.	PROPN
ap-392	294	6	,	,	PUNCT
ap-392	294	7	lo	lo	PROPN
ap-392	294	8	,	,	PUNCT
ap-392	294	9	r.	r.	PROPN
ap-392	294	10	l.	l.	PROPN
ap-392	294	11	,	,	PUNCT
ap-392	294	12	tsong	tsong	PROPN
ap-392	294	13	,	,	PUNCT
ap-392	294	14	t.	t.	PROPN
ap-392	294	15	t.:j	t.:j	PROPN
ap-392	294	16	.	.	PUNCT
ap-392	295	1	vac	vac	NOUN
ap-392	295	2	.	.	PUNCT
ap-392	296	1	sci	sci	PROPN
ap-392	296	2	.	.	PROPN
ap-392	296	3	technol	technol	PROPN
ap-392	296	4	.	.	PUNCT
ap-392	297	1	al6	al6	PROPN
ap-392	298	1	4	4	NUM
ap-392	298	2	,	,	PUNCT
ap-392	298	3	1998	1998	NUM
ap-392	298	4	,	,	PUNCT
ap-392	298	5	p.2632	p.2632	NOUN
ap-392	298	6	-	-	PUNCT
ap-392	298	7	2641	2641	NUM
ap-392	298	8	.	.	PUNCT
ap-392	299	1	[	[	X
ap-392	299	2	0	0	X
ap-392	299	3	]	]	X
ap-392	299	4	durand	durand	NOUN
ap-392	299	5	,	,	PUNCT
ap-392	299	6	h.-a	h.-a	PROPN
ap-392	299	7	.	.	PROPN
ap-392	299	8	,	,	PUNCT
ap-392	299	9	sekine	sekine	PROPN
ap-392	299	10	,	,	PUNCT
ap-392	299	11	k.	k.	PROPN
ap-392	299	12	,	,	PUNCT
ap-392	299	13	etoh	etoh	PROPN
ap-392	299	14	,	,	PUNCT
ap-392	299	15	k.	k.	PROPN
ap-392	299	16	,	,	PUNCT
ap-392	299	17	ito	ito	PROPN
ap-392	299	18	,	,	PUNCT
ap-392	299	19	k.	k.	PROPN
ap-392	299	20	,	,	PUNCT
ap-392	299	21	kataoka	kataoka	PROPN
ap-392	299	22	,	,	PUNCT
ap-392	299	23	i.	i.	NOUN
ap-392	299	24	:	:	PUNCT
ap-392	299	25	1998	1998	NUM
ap-392	299	26	int	int	NOUN
ap-392	299	27	.	.	PUNCT
ap-392	299	28	conf	conf	PROPN
ap-392	299	29	.	.	PUNCT
ap-392	300	1	on	on	ADP
ap-392	300	2	ion	ion	NOUN
ap-392	300	3	implant	implant	NOUN
ap-392	300	4	.	.	PUNCT
ap-392	301	1	tech	tech	NOUN
ap-392	301	2	.	.	PUNCT
ap-392	302	1	proc	proc	PROPN
ap-392	302	2	.	.	PROPN
ap-392	302	3	,	,	PUNCT
ap-392	302	4	ieee	ieee	PROPN
ap-392	302	5	,	,	PUNCT
ap-392	302	6	nj	nj	PROPN
ap-392	302	7	,	,	PUNCT
ap-392	302	8	1999	1999	NUM
ap-392	302	9	,	,	PUNCT
ap-392	302	10	p.	p.	NOUN
ap-392	302	11	929	929	NUM
ap-392	302	12	-	-	SYM
ap-392	302	13	935	935	NUM
ap-392	302	14	.	.	PUNCT
ap-392	303	1	acknowtedsment	acknowtedsment	NOUN
ap-392	303	2	;	;	PUNCT
ap-392	303	3	;	;	PUNCT
ap-392	303	4	:	:	PUNCT
ap-392	303	5	:	:	PUNCT
ap-392	303	6	il?;ilyi^	il?;ilyi^	PROPN
ap-392	303	7	ii\p	ii\p	PUNCT
ap-392	303	8	prochdzka	prochdzka	PROPN
ap-392	303	9	'	'	PART
ap-392	303	10	drsc	drsc	PROPN
ap-392	303	11	'	'	PUNCT
ap-392	303	12	this	this	DET
ap-392	303	13	paper	paper	NOUN
ap-392	303	14	was	be	AUX
ap-392	303	15	f	f	X
ap-392	303	16	-	-	PUNCT
ap-392	303	17	rnancially	rnancially	ADV
ap-392	303	18	supported	support	VERB
ap-392	303	19	by	by	ADP
ap-392	303	20	gacr	gacr	NOUN
ap-392	303	21	,	,	PUNCT
ap-392	303	22	project	project	NOUN
ap-392	303	23	,	,	PUNCT
ap-392	303	24	:	:	PUNCT
ap-392	303	25	:	:	PUNCT
ap-392	303	26	:	:	PUNCT
ap-392	303	27	l	l	NOUN
ap-392	303	28	,	,	PUNCT
ap-392	303	29	nro	nro	NOUN
ap-392	303	30	224	224	NUM
ap-392	303	31	310	310	NUM
ap-392	303	32	775	775	NUM
ap-392	303	33	numberioslogltos:1	numberioslogltos:1	NOUN
ap-392	303	34	.	.	PUNCT
ap-392	303	35	/	/	PUNCT
ap-392	304	1	'	'	PUNCT
ap-392	304	2	j	j	NOUN
ap-392	304	3	e_mail	e_mail	NOUN
ap-392	304	4	:	:	PUNCT
ap-392	304	5	petrp@fsr,.cvut.cz	petrp@fsr,.cvut.cz	NOUN
ap-392	304	6	references	reference	VERB
ap-392	304	7	tll	tll	PROPN
ap-392	304	8	boyle	boyle	PROPN
ap-392	304	9	,	,	PUNCT
ap-392	304	10	r.	r.	PROPN
ap-392	304	11	,	,	PUNCT
ap-392	304	12	hall	hall	PROPN
ap-392	304	13	,	,	PUNCT
ap-392	304	14	ch	ch	PROPN
ap-392	304	15	.	.	PROPN
ap-392	304	16	,	,	PUNCT
ap-392	304	17	sonka	sonka	PROPN
ap-392	304	18	,	,	PUNCT
ap-392	304	19	m.	m.	NOUN
ap-392	304	20	,	,	PUNCT
ap-392	304	21	hlav	hlav	ADJ
ap-392	304	22	:	:	SYM
ap-392	304	23	ii	ii	PROPN
ap-392	304	24	,	,	PUNCT
ap-392	304	25	y.	y.	PROPN
ap-392	304	26	:	:	PUNCT
ap-392	304	27	inutge	inutge	VERB
ap-392	304	28	processing	processing	NOUN
ap-392	304	29	,	,	PUNCT
ap-392	304	30	analysis	analysis	NOUN
ap-392	304	31	and	and	CCONJ
ap-392	304	32	machine	machine	NOUN
ap-392	304	33	vision	vision	NOUN
ap-392	304	34	.	.	PUNCT
ap-392	305	1	pws	pws	NOUN
ap-392	305	2	publishing	publishing	NOUN
ap-392	305	3	,	,	PUNCT
ap-392	305	4	pacific	pacific	PROPN
ap-392	305	5	grove	grove	PROPN
ap-392	305	6	or	or	CCONJ
ap-392	305	7	cambridge	cambridge	PROPN
ap-392	305	8	publishing	publishing	PROPN
ap-392	305	9	house	house	PROPN
ap-392	305	10	,	,	PUNCT
ap-392	305	11	1999	1999	NUM
ap-392	305	12	.	.	PUNCT
ap-392	306	1	l2l	l2l	PROPN
ap-392	306	2	pratt	pratt	PROPN
ap-392	306	3	,	,	PUNCT
ap-392	306	4	w.	w.	PROPN
ap-392	306	5	k.	k.	PROPN
ap-392	306	6	:	:	PUNCT
ap-392	306	7	digital	digital	ADJ
ap-392	306	8	image	image	NOUN
ap-392	306	9	procusing	procusing	NOUN
ap-392	306	10	.	.	PUNCT
ap-392	307	1	second	second	ADJ
ap-392	307	2	edition	edition	NOUN
ap-392	307	3	.	.	PUNCT
ap-392	308	1	a	a	DET
ap-392	308	2	wiley	wiley	NOUN
ap-392	308	3	-	-	PUNCT
ap-392	308	4	interscience	interscience	NOUN
ap-392	308	5	publication	publication	NOUN
ap-392	308	6	,	,	PUNCT
ap-392	308	7	i	i	PRON
ap-392	308	8	ggl	ggl	PROPN
ap-392	308	9	.	.	PUNCT
ap-392	308	10	mgr	mgr	PROPN
ap-392	308	11	.	.	PUNCT
ap-392	309	1	michal	michal	PROPN
ap-392	309	2	toman	toman	PROPN
ap-392	309	3	dept	dept	PROPN
ap-392	309	4	.	.	PROPN
ap-392	310	1	of	of	ADP
ap-392	310	2	structural	structural	ADJ
ap-392	310	3	mechanics	mechanic	NOUN
ap-392	310	4	czech	czech	PROPN
ap-392	310	5	technical	technical	PROPN
ap-392	310	6	university	university	PROPN
ap-392	310	7	in	in	ADP
ap-392	310	8	prague	prague	PROPN
ap-392	310	9	faculty	faculty	NOUN
ap-392	310	10	of	of	ADP
ap-392	310	11	civil	civil	ADJ
ap-392	310	12	engineering	engineering	NOUN
ap-392	310	13	thiikurova	thiikurova	PROPN
ap-392	310	14	7	7	NUM
ap-392	310	15	166	166	NUM
ap-392	310	16	29	29	NUM
ap-392	310	17	prague	prague	NOUN
ap-392	310	18	6	6	NUM
ap-392	310	19	,	,	PUNCT
ap-392	310	20	czech	czech	PROPN
ap-392	310	21	republic	republic	NOUN
ap-392	310	22	6l	6l	NUM
ap-392	310	23	scan	scan	NOUN
ap-392	310	24	54	54	NUM
ap-392	310	25	scan	scan	NOUN
ap-392	310	26	55	55	NUM
ap-392	310	27	scan	scan	NOUN
ap-392	310	28	56	56	NUM
ap-392	310	29	scan	scan	ADJ
ap-392	310	30	57	57	NUM
ap-392	310	31	scan	scan	NOUN
ap-392	310	32	58	58	NUM
ap-392	310	33	scan	scan	NOUN
ap-392	310	34	59	59	NUM
ap-392	310	35	scan	scan	NOUN
ap-392	310	36	60	60	NUM
ap-392	310	37	scan	scan	NOUN
ap-392	310	38	61	61	NUM