id	sid	tid	token	lemma	pos
esrj-101556	1	1	c	c	X
esrj-101556	1	2	o	o	NOUN
esrj-101556	1	3	m	m	VERB
esrj-101556	1	4	pu	pu	PROPN
esrj-101556	1	5	te	te	PROPN
esrj-101556	1	6	r	r	NOUN
esrj-101556	1	7	s	s	PROPN
esrj-101556	1	8	c	c	NOUN
esrj-101556	1	9	ie	ie	X
esrj-101556	1	10	n	n	PROPN
esrj-101556	1	11	c	c	NOUN
esrj-101556	1	12	e	e	ADP
esrj-101556	1	13	a	a	PRON
esrj-101556	1	14	pp	pp	X
esrj-101556	1	15	li	li	PROPN
esrj-101556	2	1	ed	ed	PROPN
esrj-101556	2	2	t	t	PROPN
esrj-101556	2	3	o	o	X
esrj-101556	3	1	g	g	NOUN
esrj-101556	3	2	eo	eo	INTJ
esrj-101556	3	3	lo	lo	PROPN
esrj-101556	3	4	g	g	PROPN
esrj-101556	3	5	y	y	PROPN
esrj-101556	3	6	issn	issn	PROPN
esrj-101556	3	7	1794	1794	NUM
esrj-101556	3	8	-	-	SYM
esrj-101556	3	9	6190	6190	NUM
esrj-101556	3	10	e	e	NOUN
esrj-101556	3	11	-	-	NOUN
esrj-101556	3	12	issn	issn	PROPN
esrj-101556	3	13	2339	2339	NUM
esrj-101556	3	14	-	-	SYM
esrj-101556	3	15	3459	3459	NUM
esrj-101556	3	16	https://doi.org/10.15446/esrj.v27n2.101556	https://doi.org/10.15446/esrj.v27n2.101556	X
esrj-101556	3	17	earth	earth	PROPN
esrj-101556	3	18	sciences	sciences	PROPN
esrj-101556	3	19	research	research	PROPN
esrj-101556	3	20	journal	journal	PROPN
esrj-101556	3	21	earth	earth	PROPN
esrj-101556	3	22	sci	sci	PROPN
esrj-101556	3	23	.	.	PUNCT
esrj-101556	4	1	res	res	PROPN
esrj-101556	4	2	.	.	PUNCT
esrj-101556	5	1	j.	j.	PROPN
esrj-101556	5	2	vol	vol	PROPN
esrj-101556	5	3	.	.	PROPN
esrj-101556	6	1	27	27	NUM
esrj-101556	6	2	,	,	PUNCT
esrj-101556	6	3	no	no	INTJ
esrj-101556	6	4	.	.	NOUN
esrj-101556	6	5	2	2	NUM
esrj-101556	6	6	(	(	PUNCT
esrj-101556	6	7	june	june	PROPN
esrj-101556	6	8	,	,	PUNCT
esrj-101556	6	9	2023	2023	NUM
esrj-101556	6	10	):	):	PUNCT
esrj-101556	6	11	139	139	NUM
esrj-101556	6	12	147	147	NUM
esrj-101556	6	13	manuscript	manuscript	NOUN
esrj-101556	6	14	received	receive	VERB
esrj-101556	6	15	:	:	PUNCT
esrj-101556	6	16	28/03/2022	28/03/2022	NUM
esrj-101556	6	17	accepted	accept	VERB
esrj-101556	6	18	for	for	ADP
esrj-101556	6	19	publication	publication	NOUN
esrj-101556	6	20	:	:	PUNCT
esrj-101556	6	21	13/07/2023	13/07/2023	NUM
esrj-101556	6	22	computer	computer	NOUN
esrj-101556	6	23	vision	vision	NOUN
esrj-101556	6	24	techniques	technique	NOUN
esrj-101556	6	25	applied	apply	VERB
esrj-101556	6	26	to	to	ADP
esrj-101556	6	27	automatic	automatic	ADJ
esrj-101556	6	28	detection	detection	NOUN
esrj-101556	6	29	of	of	ADP
esrj-101556	6	30	sinusoids	sinusoid	NOUN
esrj-101556	6	31	in	in	ADP
esrj-101556	6	32	borehole	borehole	NOUN
esrj-101556	6	33	resistivity	resistivity	NOUN
esrj-101556	6	34	imaging	imaging	NOUN
esrj-101556	6	35	–	–	PUNCT
esrj-101556	6	36	a	a	DET
esrj-101556	6	37	comparison	comparison	NOUN
esrj-101556	6	38	with	with	ADP
esrj-101556	6	39	the	the	DET
esrj-101556	6	40	msd	msd	NOUN
esrj-101556	6	41	method	method	NOUN
esrj-101556	6	42	jorge	jorge	PROPN
esrj-101556	6	43	alberto	alberto	PROPN
esrj-101556	6	44	leal	leal	PROPN
esrj-101556	6	45	freitez	freitez	PROPN
esrj-101556	6	46	,	,	PUNCT
esrj-101556	6	47	luis	luis	PROPN
esrj-101556	6	48	hernán	hernán	PROPN
esrj-101556	6	49	ochoa	ochoa	PROPN
esrj-101556	6	50	gutiérrez	gutiérrez	PROPN
esrj-101556	6	51	,	,	PUNCT
esrj-101556	6	52	sergio	sergio	PROPN
esrj-101556	6	53	francisco	francisco	PROPN
esrj-101556	6	54	acosta	acosta	PROPN
esrj-101556	6	55	lenis	lenis	PROPN
esrj-101556	6	56	universidad	universidad	PROPN
esrj-101556	6	57	nacional	nacional	PROPN
esrj-101556	6	58	de	de	PROPN
esrj-101556	6	59	colombia	colombia	PROPN
esrj-101556	6	60	alealf@unal.edu.co	alealf@unal.edu.co	PROPN
esrj-101556	6	61	,	,	PUNCT
esrj-101556	6	62	lhochoag@unal.edu.co	lhochoag@unal.edu.co	ADJ
esrj-101556	6	63	,	,	PUNCT
esrj-101556	6	64	sfacostale@unal.edu.co	sfacostale@unal.edu.co	ADJ
esrj-101556	6	65	abstract	abstract	ADJ
esrj-101556	6	66	keywords	keyword	NOUN
esrj-101556	6	67	:	:	PUNCT
esrj-101556	6	68	borehole	borehole	NOUN
esrj-101556	6	69	resistivity	resistivity	PROPN
esrj-101556	6	70	imaging	imaging	PROPN
esrj-101556	6	71	,	,	PUNCT
esrj-101556	6	72	autodip	autodip	ADJ
esrj-101556	6	73	,	,	PUNCT
esrj-101556	6	74	mean	mean	ADJ
esrj-101556	6	75	square	square	ADJ
esrj-101556	6	76	dip	dip	NOUN
esrj-101556	6	77	,	,	PUNCT
esrj-101556	6	78	computer	computer	NOUN
esrj-101556	6	79	vision	vision	NOUN
esrj-101556	6	80	,	,	PUNCT
esrj-101556	6	81	hough	hough	PROPN
esrj-101556	6	82	’s	’s	PART
esrj-101556	6	83	transform	transform	NOUN
esrj-101556	6	84	,	,	PUNCT
esrj-101556	6	85	clustering	clustering	NOUN
esrj-101556	6	86	.	.	PUNCT
esrj-101556	7	1	in	in	ADP
esrj-101556	7	2	this	this	DET
esrj-101556	7	3	research	research	NOUN
esrj-101556	7	4	computer	computer	NOUN
esrj-101556	7	5	vision	vision	NOUN
esrj-101556	7	6	techniques	technique	NOUN
esrj-101556	7	7	are	be	AUX
esrj-101556	7	8	applied	apply	VERB
esrj-101556	7	9	to	to	ADP
esrj-101556	7	10	borehole	borehole	NOUN
esrj-101556	7	11	resistivity	resistivity	NOUN
esrj-101556	7	12	imaging	imaging	NOUN
esrj-101556	7	13	in	in	ADP
esrj-101556	7	14	order	order	NOUN
esrj-101556	7	15	to	to	PART
esrj-101556	7	16	establish	establish	VERB
esrj-101556	7	17	an	an	DET
esrj-101556	7	18	alternative	alternative	ADJ
esrj-101556	7	19	procedure	procedure	NOUN
esrj-101556	7	20	to	to	ADP
esrj-101556	7	21	the	the	DET
esrj-101556	7	22	mean	mean	ADJ
esrj-101556	7	23	square	square	ADJ
esrj-101556	7	24	dip	dip	NOUN
esrj-101556	7	25	(	(	PUNCT
esrj-101556	7	26	msd	msd	NOUN
esrj-101556	7	27	)	)	PUNCT
esrj-101556	7	28	processing	processing	NOUN
esrj-101556	7	29	.	.	PUNCT
esrj-101556	8	1	the	the	DET
esrj-101556	8	2	msd	msd	NOUN
esrj-101556	8	3	is	be	AUX
esrj-101556	8	4	regularly	regularly	ADV
esrj-101556	8	5	applied	apply	VERB
esrj-101556	8	6	to	to	PART
esrj-101556	8	7	detect	detect	VERB
esrj-101556	8	8	sinusoids	sinusoid	NOUN
esrj-101556	8	9	and	and	CCONJ
esrj-101556	8	10	dips	dip	VERB
esrj-101556	8	11	automatically	automatically	ADV
esrj-101556	8	12	in	in	ADP
esrj-101556	8	13	borehole	borehole	NOUN
esrj-101556	8	14	imaging	imaging	NOUN
esrj-101556	8	15	and	and	CCONJ
esrj-101556	8	16	dipmeter	dipmeter	NOUN
esrj-101556	8	17	logs	log	NOUN
esrj-101556	8	18	.	.	PUNCT
esrj-101556	9	1	the	the	DET
esrj-101556	9	2	present	present	ADJ
esrj-101556	9	3	proposal	proposal	NOUN
esrj-101556	9	4	is	be	AUX
esrj-101556	9	5	based	base	VERB
esrj-101556	9	6	on	on	ADP
esrj-101556	9	7	gabor	gabor	PROPN
esrj-101556	9	8	’s	’s	PART
esrj-101556	9	9	filters	filter	NOUN
esrj-101556	9	10	,	,	PUNCT
esrj-101556	9	11	morphological	morphological	ADJ
esrj-101556	9	12	transformations	transformation	NOUN
esrj-101556	9	13	,	,	PUNCT
esrj-101556	9	14	hough	hough	PROPN
esrj-101556	9	15	’s	’s	PART
esrj-101556	9	16	transform	transform	NOUN
esrj-101556	9	17	,	,	PUNCT
esrj-101556	9	18	and	and	CCONJ
esrj-101556	9	19	clustering	cluster	VERB
esrj-101556	9	20	techniques	technique	NOUN
esrj-101556	9	21	.	.	PUNCT
esrj-101556	10	1	the	the	DET
esrj-101556	10	2	msd	msd	NOUN
esrj-101556	10	3	and	and	CCONJ
esrj-101556	10	4	the	the	DET
esrj-101556	10	5	computer	computer	NOUN
esrj-101556	10	6	vision	vision	NOUN
esrj-101556	10	7	proposal	proposal	NOUN
esrj-101556	10	8	were	be	AUX
esrj-101556	10	9	tested	test	VERB
esrj-101556	10	10	in	in	ADP
esrj-101556	10	11	1012	1012	NUM
esrj-101556	10	12	m	m	NOUN
esrj-101556	10	13	of	of	ADP
esrj-101556	10	14	borehole	borehole	NOUN
esrj-101556	10	15	images	image	NOUN
esrj-101556	10	16	,	,	PUNCT
esrj-101556	10	17	showing	show	VERB
esrj-101556	10	18	7.986	7.986	NUM
esrj-101556	10	19	%	%	NOUN
esrj-101556	10	20	of	of	ADP
esrj-101556	10	21	false	false	ADJ
esrj-101556	10	22	positives	positive	NOUN
esrj-101556	10	23	for	for	ADP
esrj-101556	10	24	the	the	DET
esrj-101556	10	25	msd	msd	NOUN
esrj-101556	10	26	processing	processing	NOUN
esrj-101556	10	27	and	and	CCONJ
esrj-101556	10	28	0.879	0.879	NUM
esrj-101556	10	29	%	%	NOUN
esrj-101556	10	30	for	for	ADP
esrj-101556	10	31	the	the	DET
esrj-101556	10	32	computer	computer	NOUN
esrj-101556	10	33	vision	vision	NOUN
esrj-101556	10	34	approach	approach	NOUN
esrj-101556	10	35	.	.	PUNCT
esrj-101556	11	1	the	the	DET
esrj-101556	11	2	present	present	ADJ
esrj-101556	11	3	methodology	methodology	NOUN
esrj-101556	11	4	tries	try	VERB
esrj-101556	11	5	to	to	PART
esrj-101556	11	6	emulate	emulate	VERB
esrj-101556	11	7	the	the	DET
esrj-101556	11	8	geologists	geologist	NOUN
esrj-101556	11	9	behavior	behavior	NOUN
esrj-101556	11	10	when	when	SCONJ
esrj-101556	11	11	they	they	PRON
esrj-101556	11	12	make	make	VERB
esrj-101556	11	13	image	image	NOUN
esrj-101556	11	14	interpretation	interpretation	NOUN
esrj-101556	11	15	;	;	PUNCT
esrj-101556	11	16	instead	instead	ADV
esrj-101556	11	17	correlations	correlation	NOUN
esrj-101556	11	18	between	between	ADP
esrj-101556	11	19	resistivity	resistivity	NOUN
esrj-101556	11	20	curves	curve	NOUN
esrj-101556	11	21	like	like	ADP
esrj-101556	11	22	in	in	ADP
esrj-101556	11	23	the	the	DET
esrj-101556	11	24	msd	msd	NOUN
esrj-101556	11	25	processing	processing	NOUN
esrj-101556	11	26	.	.	PUNCT
esrj-101556	12	1	there	there	PRON
esrj-101556	12	2	are	be	VERB
esrj-101556	12	3	no	no	DET
esrj-101556	12	4	special	special	ADJ
esrj-101556	12	5	computer	computer	NOUN
esrj-101556	12	6	requirements	requirement	NOUN
esrj-101556	12	7	,	,	PUNCT
esrj-101556	12	8	and	and	CCONJ
esrj-101556	12	9	it	it	PRON
esrj-101556	12	10	can	can	AUX
esrj-101556	12	11	be	be	AUX
esrj-101556	12	12	applied	apply	VERB
esrj-101556	12	13	directly	directly	ADV
esrj-101556	12	14	in	in	ADP
esrj-101556	12	15	the	the	DET
esrj-101556	12	16	field	field	NOUN
esrj-101556	12	17	for	for	ADP
esrj-101556	12	18	a	a	DET
esrj-101556	12	19	quick	quick	ADJ
esrj-101556	12	20	well	well	NOUN
esrj-101556	12	21	-	-	PUNCT
esrj-101556	12	22	site	site	NOUN
esrj-101556	12	23	dip	dip	NOUN
esrj-101556	12	24	results	result	NOUN
esrj-101556	12	25	.	.	PUNCT
esrj-101556	13	1	this	this	DET
esrj-101556	13	2	procedure	procedure	NOUN
esrj-101556	13	3	can	can	AUX
esrj-101556	13	4	be	be	AUX
esrj-101556	13	5	easily	easily	ADV
esrj-101556	13	6	integrated	integrate	VERB
esrj-101556	13	7	into	into	ADP
esrj-101556	13	8	log	log	NOUN
esrj-101556	13	9	units	unit	NOUN
esrj-101556	13	10	and	and	CCONJ
esrj-101556	13	11	most	most	ADJ
esrj-101556	13	12	commercial	commercial	ADJ
esrj-101556	13	13	borehole	borehole	NOUN
esrj-101556	13	14	imaging	imaging	NOUN
esrj-101556	13	15	software	software	NOUN
esrj-101556	13	16	.	.	PUNCT
esrj-101556	14	1	the	the	DET
esrj-101556	14	2	processing	processing	NOUN
esrj-101556	14	3	workflow	workflow	NOUN
esrj-101556	14	4	was	be	AUX
esrj-101556	14	5	developed	develop	VERB
esrj-101556	14	6	in	in	ADP
esrj-101556	14	7	python	python	NOUN
esrj-101556	14	8	using	use	VERB
esrj-101556	14	9	standard	standard	ADJ
esrj-101556	14	10	libraries	library	NOUN
esrj-101556	14	11	.	.	PUNCT
esrj-101556	15	1	palabras	palabra	NOUN
esrj-101556	15	2	cave	cave	PROPN
esrj-101556	15	3	:	:	PUNCT
esrj-101556	15	4	imágenes	imágenes	PROPN
esrj-101556	15	5	resistivas	resistivas	PROPN
esrj-101556	15	6	de	de	PROPN
esrj-101556	15	7	pozo	pozo	PROPN
esrj-101556	15	8	,	,	PUNCT
esrj-101556	15	9	buzamiento	buzamiento	ADP
esrj-101556	15	10	automático	automático	NOUN
esrj-101556	15	11	,	,	PUNCT
esrj-101556	15	12	buzamiento	buzamiento	ADP
esrj-101556	15	13	medio	medio	PROPN
esrj-101556	15	14	cuadrático	cuadrático	PROPN
esrj-101556	15	15	,	,	PUNCT
esrj-101556	15	16	visión	visión	PROPN
esrj-101556	15	17	por	por	PROPN
esrj-101556	15	18	computador	computador	PROPN
esrj-101556	15	19	,	,	PUNCT
esrj-101556	15	20	transformada	transformada	X
esrj-101556	15	21	de	de	PROPN
esrj-101556	15	22	hough	hough	PROPN
esrj-101556	15	23	,	,	PUNCT
esrj-101556	15	24	agrupamiento	agrupamiento	ADP
esrj-101556	15	25	.	.	PUNCT
esrj-101556	15	26	técnicas	técnicas	PROPN
esrj-101556	15	27	de	de	PROPN
esrj-101556	15	28	visión	visión	PROPN
esrj-101556	15	29	por	por	PROPN
esrj-101556	15	30	computador	computador	PROPN
esrj-101556	15	31	aplicadas	aplicada	VERB
esrj-101556	15	32	a	a	DET
esrj-101556	15	33	la	la	X
esrj-101556	15	34	detección	detección	PROPN
esrj-101556	15	35	automática	automática	PROPN
esrj-101556	15	36	de	de	PROPN
esrj-101556	15	37	sinusoides	sinusoide	NOUN
esrj-101556	15	38	en	en	PROPN
esrj-101556	15	39	imágenes	imágenes	PROPN
esrj-101556	15	40	resistivas	resistivas	PROPN
esrj-101556	15	41	de	de	PROPN
esrj-101556	15	42	pozo	pozo	PROPN
esrj-101556	15	43	–	–	PUNCT
esrj-101556	15	44	una	una	PROPN
esrj-101556	15	45	comparación	comparación	PROPN
esrj-101556	15	46	con	con	PROPN
esrj-101556	15	47	el	el	PROPN
esrj-101556	15	48	método	método	PROPN
esrj-101556	15	49	bmc	bmc	PROPN
esrj-101556	15	50	how	how	SCONJ
esrj-101556	15	51	to	to	PART
esrj-101556	15	52	cite	cite	VERB
esrj-101556	15	53	this	this	DET
esrj-101556	15	54	item	item	NOUN
esrj-101556	15	55	:	:	PUNCT
esrj-101556	15	56	leal	leal	PROPN
esrj-101556	15	57	freitez	freitez	NOUN
esrj-101556	15	58	,	,	PUNCT
esrj-101556	15	59	j.	j.	PROPN
esrj-101556	15	60	a.	a.	PROPN
esrj-101556	15	61	,	,	PUNCT
esrj-101556	15	62	ochoa	ochoa	PROPN
esrj-101556	15	63	gutierrez	gutierrez	PROPN
esrj-101556	15	64	,	,	PUNCT
esrj-101556	15	65	l.	l.	PROPN
esrj-101556	15	66	h.	h.	PROPN
esrj-101556	15	67	,	,	PUNCT
esrj-101556	15	68	&	&	CCONJ
esrj-101556	15	69	acosta	acosta	PROPN
esrj-101556	15	70	lenis	lenis	PROPN
esrj-101556	15	71	,	,	PUNCT
esrj-101556	15	72	s.	s.	PROPN
esrj-101556	15	73	f.	f.	PROPN
esrj-101556	15	74	(	(	PUNCT
esrj-101556	15	75	2023	2023	NUM
esrj-101556	15	76	)	)	PUNCT
esrj-101556	15	77	.	.	PUNCT
esrj-101556	16	1	computer	computer	NOUN
esrj-101556	16	2	vision	vision	NOUN
esrj-101556	16	3	techniques	technique	NOUN
esrj-101556	16	4	applied	apply	VERB
esrj-101556	16	5	to	to	ADP
esrj-101556	16	6	automatic	automatic	ADJ
esrj-101556	16	7	detection	detection	NOUN
esrj-101556	16	8	of	of	ADP
esrj-101556	16	9	sinusoids	sinusoid	NOUN
esrj-101556	16	10	in	in	ADP
esrj-101556	16	11	borehole	borehole	NOUN
esrj-101556	16	12	resistivity	resistivity	NOUN
esrj-101556	16	13	imaging	imaging	NOUN
esrj-101556	16	14	–	–	PUNCT
esrj-101556	16	15	a	a	DET
esrj-101556	16	16	comparison	comparison	NOUN
esrj-101556	16	17	with	with	ADP
esrj-101556	16	18	the	the	DET
esrj-101556	16	19	msd	msd	NOUN
esrj-101556	16	20	method	method	NOUN
esrj-101556	16	21	.	.	PUNCT
esrj-101556	17	1	earth	earth	PROPN
esrj-101556	17	2	sciences	sciences	PROPN
esrj-101556	17	3	research	research	PROPN
esrj-101556	17	4	journal	journal	PROPN
esrj-101556	17	5	,	,	PUNCT
esrj-101556	17	6	27(2	27(2	PRON
esrj-101556	17	7	)	)	PUNCT
esrj-101556	17	8	,	,	PUNCT
esrj-101556	17	9	139	139	NUM
esrj-101556	17	10	-	-	SYM
esrj-101556	17	11	147	147	NUM
esrj-101556	17	12	.	.	PUNCT
esrj-101556	18	1	https://doi	https://doi	PROPN
esrj-101556	18	2	.	.	PUNCT
esrj-101556	18	3	org/10.15446	org/10.15446	NUM
esrj-101556	18	4	/	/	SYM
esrj-101556	18	5	esrj.v27n2.101556	esrj.v27n2.101556	NOUN
esrj-101556	18	6	resumen	resuman	NOUN
esrj-101556	18	7	en	en	PROPN
esrj-101556	18	8	esta	esta	PROPN
esrj-101556	18	9	investigación	investigación	PROPN
esrj-101556	18	10	se	se	PROPN
esrj-101556	19	1	aplicaron	aplicaron	PROPN
esrj-101556	19	2	técnicas	técnicas	PROPN
esrj-101556	19	3	de	de	PROPN
esrj-101556	19	4	visión	visión	PROPN
esrj-101556	19	5	por	por	PROPN
esrj-101556	19	6	computador	computador	PROPN
esrj-101556	19	7	a	a	DET
esrj-101556	19	8	imágenes	imágene	NOUN
esrj-101556	19	9	resistivas	resistivas	PROPN
esrj-101556	19	10	de	de	PROPN
esrj-101556	19	11	pozo	pozo	PROPN
esrj-101556	19	12	para	para	PROPN
esrj-101556	19	13	establecer	establecer	PROPN
esrj-101556	19	14	un	un	PROPN
esrj-101556	19	15	procedimiento	procedimiento	PROPN
esrj-101556	19	16	alternativo	alternativo	PROPN
esrj-101556	19	17	al	al	PROPN
esrj-101556	19	18	procesamiento	procesamiento	PROPN
esrj-101556	19	19	del	del	PROPN
esrj-101556	19	20	buzamiento	buzamiento	PROPN
esrj-101556	19	21	medio	medio	PROPN
esrj-101556	19	22	cuadrático	cuadrático	PROPN
esrj-101556	19	23	(	(	PUNCT
esrj-101556	19	24	bmc	bmc	PROPN
esrj-101556	19	25	)	)	PUNCT
esrj-101556	19	26	;	;	PUNCT
esrj-101556	19	27	bmc	bmc	NOUN
esrj-101556	19	28	es	es	X
esrj-101556	19	29	regularmente	regularmente	PROPN
esrj-101556	19	30	empleado	empleado	PROPN
esrj-101556	19	31	para	para	PROPN
esrj-101556	19	32	detectar	detectar	PROPN
esrj-101556	19	33	sinusoides	sinusoide	NOUN
esrj-101556	19	34	y	y	PROPN
esrj-101556	19	35	buzamientos	buzamientos	PROPN
esrj-101556	19	36	automáticamente	automáticamente	PROPN
esrj-101556	19	37	en	en	PROPN
esrj-101556	19	38	registros	registros	PROPN
esrj-101556	19	39	de	de	PROPN
esrj-101556	19	40	imágenes	imágenes	PROPN
esrj-101556	19	41	y	y	PROPN
esrj-101556	19	42	de	de	PROPN
esrj-101556	19	43	buzamiento	buzamiento	PROPN
esrj-101556	19	44	.	.	PUNCT
esrj-101556	20	1	esta	esta	PROPN
esrj-101556	20	2	propuesta	propuesta	PROPN
esrj-101556	20	3	se	se	PROPN
esrj-101556	20	4	fundamenta	fundamenta	PROPN
esrj-101556	20	5	en	en	PROPN
esrj-101556	20	6	filtros	filtros	PROPN
esrj-101556	20	7	gabor	gabor	PROPN
esrj-101556	20	8	,	,	PUNCT
esrj-101556	20	9	transformaciones	transformacione	NOUN
esrj-101556	20	10	morfológicas	morfológica	NOUN
esrj-101556	20	11	,	,	PUNCT
esrj-101556	20	12	transformada	transformada	X
esrj-101556	20	13	de	de	PROPN
esrj-101556	20	14	hough	hough	PROPN
esrj-101556	20	15	y	y	PROPN
esrj-101556	20	16	técnicas	técnicas	PROPN
esrj-101556	20	17	de	de	X
esrj-101556	20	18	agrupación	agrupación	PROPN
esrj-101556	20	19	.	.	PUNCT
esrj-101556	21	1	el	el	PROPN
esrj-101556	21	2	método	método	PROPN
esrj-101556	21	3	bmc	bmc	PROPN
esrj-101556	21	4	y	y	PROPN
esrj-101556	21	5	la	la	PROPN
esrj-101556	21	6	propuesta	propuesta	PROPN
esrj-101556	21	7	de	de	PROPN
esrj-101556	21	8	visión	visión	PROPN
esrj-101556	21	9	por	por	PROPN
esrj-101556	21	10	computador	computador	PROPN
esrj-101556	21	11	fueron	fueron	PROPN
esrj-101556	21	12	probados	probado	VERB
esrj-101556	21	13	en	en	ADP
esrj-101556	21	14	1012	1012	NUM
esrj-101556	21	15	m	m	PROPN
esrj-101556	21	16	de	de	X
esrj-101556	21	17	imágenes	imágenes	X
esrj-101556	21	18	de	de	PROPN
esrj-101556	21	19	pozo	pozo	PROPN
esrj-101556	21	20	,	,	PUNCT
esrj-101556	21	21	mostrando	mostrando	PROPN
esrj-101556	21	22	7.986	7.986	NUM
esrj-101556	21	23	%	%	NOUN
esrj-101556	21	24	de	de	PROPN
esrj-101556	21	25	falsos	falsos	PROPN
esrj-101556	21	26	positivos	positivos	PROPN
esrj-101556	21	27	para	para	PROPN
esrj-101556	22	1	el	el	PROPN
esrj-101556	22	2	procesamiento	procesamiento	PROPN
esrj-101556	22	3	bmc	bmc	PROPN
esrj-101556	22	4	y	y	PROPN
esrj-101556	22	5	0.879	0.879	NUM
esrj-101556	22	6	%	%	NOUN
esrj-101556	22	7	para	para	PROPN
esrj-101556	22	8	el	el	PROPN
esrj-101556	22	9	enfoque	enfoque	PROPN
esrj-101556	22	10	de	de	PROPN
esrj-101556	22	11	visión	visión	PROPN
esrj-101556	22	12	por	por	PROPN
esrj-101556	22	13	computador	computador	NOUN
esrj-101556	22	14	.	.	PUNCT
esrj-101556	23	1	la	la	PROPN
esrj-101556	23	2	presente	presente	PROPN
esrj-101556	23	3	metodología	metodología	PROPN
esrj-101556	23	4	metodología	metodología	NOUN
esrj-101556	23	5	trata	trata	PROPN
esrj-101556	23	6	de	de	X
esrj-101556	23	7	emular	emular	PROPN
esrj-101556	23	8	el	el	PROPN
esrj-101556	23	9	comportamiento	comportamiento	PROPN
esrj-101556	23	10	de	de	PROPN
esrj-101556	23	11	los	los	PROPN
esrj-101556	23	12	geólogos	geólogos	PROPN
esrj-101556	23	13	cuando	cuando	PROPN
esrj-101556	23	14	realizan	realizan	PROPN
esrj-101556	23	15	interpretación	interpretación	PROPN
esrj-101556	23	16	de	de	PROPN
esrj-101556	23	17	imágenes	imágenes	PROPN
esrj-101556	23	18	,	,	PUNCT
esrj-101556	23	19	en	en	X
esrj-101556	23	20	lugar	lugar	X
esrj-101556	23	21	de	de	PROPN
esrj-101556	23	22	correlaciones	correlaciones	PROPN
esrj-101556	23	23	entre	entre	PROPN
esrj-101556	23	24	curvas	curvas	PROPN
esrj-101556	23	25	de	de	PROPN
esrj-101556	23	26	resistividad	resistividad	PROPN
esrj-101556	23	27	como	como	PROPN
esrj-101556	23	28	en	en	PROPN
esrj-101556	23	29	el	el	PROPN
esrj-101556	23	30	procesamiento	procesamiento	PROPN
esrj-101556	23	31	bmc	bmc	PROPN
esrj-101556	23	32	.	.	PUNCT
esrj-101556	24	1	no	no	DET
esrj-101556	24	2	hay	hay	NOUN
esrj-101556	24	3	requisitos	requisito	NOUN
esrj-101556	24	4	informáticos	informáticos	X
esrj-101556	24	5	especiales	especiales	PROPN
esrj-101556	24	6	y	y	PROPN
esrj-101556	24	7	puede	puede	PROPN
esrj-101556	24	8	aplicarse	aplicarse	ADV
esrj-101556	24	9	directamente	directamente	PROPN
esrj-101556	24	10	en	en	ADP
esrj-101556	24	11	campo	campo	PROPN
esrj-101556	24	12	para	para	PROPN
esrj-101556	24	13	resultados	resultado	VERB
esrj-101556	24	14	rápidos	rápido	NOUN
esrj-101556	24	15	de	de	X
esrj-101556	24	16	buzamientos	buzamientos	PROPN
esrj-101556	24	17	.	.	PUNCT
esrj-101556	25	1	esta	esta	PROPN
esrj-101556	25	2	metodología	metodología	PROPN
esrj-101556	25	3	puede	puede	PROPN
esrj-101556	25	4	integrarse	integrarse	PROPN
esrj-101556	25	5	fácilmente	fácilmente	VERB
esrj-101556	25	6	a	a	DET
esrj-101556	25	7	unidades	unidades	PROPN
esrj-101556	25	8	de	de	X
esrj-101556	25	9	registro	registro	PROPN
esrj-101556	25	10	,	,	PUNCT
esrj-101556	25	11	así	así	PROPN
esrj-101556	25	12	como	como	PROPN
esrj-101556	25	13	también	también	PROPN
esrj-101556	25	14	a	a	X
esrj-101556	25	15	la	la	X
esrj-101556	25	16	mayoría	mayoría	X
esrj-101556	25	17	de	de	X
esrj-101556	25	18	programas	programas	PROPN
esrj-101556	25	19	de	de	PROPN
esrj-101556	25	20	procesamiento	procesamiento	PROPN
esrj-101556	25	21	de	de	PROPN
esrj-101556	25	22	imágenes	imágenes	PROPN
esrj-101556	25	23	de	de	PROPN
esrj-101556	25	24	pozo	pozo	PROPN
esrj-101556	25	25	.	.	PUNCT
esrj-101556	26	1	todos	todo	NOUN
esrj-101556	26	2	los	los	PROPN
esrj-101556	26	3	procesos	procesos	PROPN
esrj-101556	26	4	se	se	X
esrj-101556	26	5	desarrollaron	desarrollaron	PROPN
esrj-101556	26	6	en	en	PROPN
esrj-101556	26	7	python	python	PROPN
esrj-101556	26	8	utilizando	utilizando	PROPN
esrj-101556	26	9	librerías	librerías	PROPN
esrj-101556	26	10	estándares	estándare	NOUN
esrj-101556	26	11	.	.	PUNCT
esrj-101556	27	1	https://doi.org/10.15446/esrj.v27n2.101556	https://doi.org/10.15446/esrj.v27n2.101556	X
esrj-101556	28	1	mailto:alealf@unal.edu.co	mailto:alealf@unal.edu.co	PROPN
esrj-101556	28	2	mailto:lhochoag@unal.edu.co	mailto:lhochoag@unal.edu.co	ADJ
esrj-101556	28	3	mailto:sfacostale@unal.edu.co	mailto:sfacostale@unal.edu.co	NOUN
esrj-101556	28	4	https://doi.org/10.15446/esrj.v27n2.101556	https://doi.org/10.15446/esrj.v27n2.101556	X
esrj-101556	28	5	https://doi.org/10.15446/esrj.v27n2.101556	https://doi.org/10.15446/esrj.v27n2.101556	X
esrj-101556	28	6	140	140	NUM
esrj-101556	28	7	jorge	jorge	PROPN
esrj-101556	28	8	alberto	alberto	PROPN
esrj-101556	28	9	leal	leal	PROPN
esrj-101556	28	10	freitez	freitez	PROPN
esrj-101556	28	11	,	,	PUNCT
esrj-101556	28	12	luis	luis	PROPN
esrj-101556	28	13	hernán	hernán	PROPN
esrj-101556	28	14	ochoa	ochoa	PROPN
esrj-101556	28	15	gutiérrez	gutiérrez	PROPN
esrj-101556	28	16	,	,	PUNCT
esrj-101556	28	17	sergio	sergio	PROPN
esrj-101556	28	18	francisco	francisco	PROPN
esrj-101556	28	19	acosta	acosta	PROPN
esrj-101556	28	20	lenis	lenis	PROPN
esrj-101556	28	21	1	1	NUM
esrj-101556	28	22	.	.	PUNCT
esrj-101556	28	23	introduction	introduction	NOUN
esrj-101556	28	24	in	in	ADP
esrj-101556	28	25	conventional	conventional	ADJ
esrj-101556	28	26	and	and	CCONJ
esrj-101556	28	27	unconventional	unconventional	ADJ
esrj-101556	28	28	hydrocarbon	hydrocarbon	NOUN
esrj-101556	28	29	reservoirs	reservoir	NOUN
esrj-101556	28	30	,	,	PUNCT
esrj-101556	28	31	borehole	borehole	NOUN
esrj-101556	28	32	resistivity	resistivity	NOUN
esrj-101556	28	33	imaging	imaging	NOUN
esrj-101556	28	34	is	be	AUX
esrj-101556	28	35	broadly	broadly	ADV
esrj-101556	28	36	applied	apply	VERB
esrj-101556	28	37	in	in	ADP
esrj-101556	28	38	exploration	exploration	NOUN
esrj-101556	28	39	and	and	CCONJ
esrj-101556	28	40	development	development	NOUN
esrj-101556	28	41	wells	well	NOUN
esrj-101556	28	42	;	;	PUNCT
esrj-101556	28	43	this	this	DET
esrj-101556	28	44	log	log	NOUN
esrj-101556	28	45	provides	provide	VERB
esrj-101556	28	46	precise	precise	ADJ
esrj-101556	28	47	information	information	NOUN
esrj-101556	28	48	regarding	regard	VERB
esrj-101556	28	49	structural	structural	ADJ
esrj-101556	28	50	framework	framework	NOUN
esrj-101556	28	51	,	,	PUNCT
esrj-101556	28	52	sedimentological	sedimentological	ADJ
esrj-101556	28	53	features	feature	NOUN
esrj-101556	28	54	,	,	PUNCT
esrj-101556	28	55	and	and	CCONJ
esrj-101556	28	56	stratigraphy	stratigraphy	NOUN
esrj-101556	28	57	of	of	ADP
esrj-101556	28	58	the	the	DET
esrj-101556	28	59	drilled	drill	VERB
esrj-101556	28	60	rock	rock	NOUN
esrj-101556	28	61	sequence	sequence	NOUN
esrj-101556	28	62	.	.	PUNCT
esrj-101556	29	1	furthermore	furthermore	ADV
esrj-101556	29	2	,	,	PUNCT
esrj-101556	29	3	this	this	DET
esrj-101556	29	4	log	log	NOUN
esrj-101556	29	5	is	be	AUX
esrj-101556	29	6	a	a	DET
esrj-101556	29	7	useful	useful	ADJ
esrj-101556	29	8	complement	complement	NOUN
esrj-101556	29	9	in	in	ADP
esrj-101556	29	10	petrophysical	petrophysical	ADJ
esrj-101556	29	11	evaluation	evaluation	NOUN
esrj-101556	29	12	,	,	PUNCT
esrj-101556	29	13	geomechanical	geomechanical	ADJ
esrj-101556	29	14	modeling	modeling	NOUN
esrj-101556	29	15	,	,	PUNCT
esrj-101556	29	16	and	and	CCONJ
esrj-101556	29	17	characterization	characterization	NOUN
esrj-101556	29	18	of	of	ADP
esrj-101556	29	19	naturally	naturally	ADV
esrj-101556	29	20	fractured	fracture	VERB
esrj-101556	29	21	reservoirs	reservoir	NOUN
esrj-101556	29	22	.	.	PUNCT
esrj-101556	30	1	once	once	SCONJ
esrj-101556	30	2	these	these	DET
esrj-101556	30	3	logs	log	NOUN
esrj-101556	30	4	are	be	AUX
esrj-101556	30	5	acquired	acquire	VERB
esrj-101556	30	6	,	,	PUNCT
esrj-101556	30	7	their	their	PRON
esrj-101556	30	8	processing	processing	NOUN
esrj-101556	30	9	and	and	CCONJ
esrj-101556	30	10	interpretation	interpretation	NOUN
esrj-101556	30	11	can	can	AUX
esrj-101556	30	12	take	take	VERB
esrj-101556	30	13	several	several	ADJ
esrj-101556	30	14	hours	hour	NOUN
esrj-101556	30	15	or	or	CCONJ
esrj-101556	30	16	even	even	ADV
esrj-101556	30	17	days	day	NOUN
esrj-101556	30	18	because	because	SCONJ
esrj-101556	30	19	detection	detection	NOUN
esrj-101556	30	20	and	and	CCONJ
esrj-101556	30	21	classification	classification	NOUN
esrj-101556	30	22	of	of	ADP
esrj-101556	30	23	geological	geological	ADJ
esrj-101556	30	24	planes	plane	NOUN
esrj-101556	30	25	is	be	AUX
esrj-101556	30	26	usually	usually	ADV
esrj-101556	30	27	a	a	DET
esrj-101556	30	28	manual	manual	ADJ
esrj-101556	30	29	process	process	NOUN
esrj-101556	30	30	performed	perform	VERB
esrj-101556	30	31	by	by	ADP
esrj-101556	30	32	specialized	specialized	ADJ
esrj-101556	30	33	geologists	geologist	NOUN
esrj-101556	30	34	.	.	PUNCT
esrj-101556	31	1	this	this	DET
esrj-101556	31	2	time	time	NOUN
esrj-101556	31	3	consuming	consume	VERB
esrj-101556	31	4	task	task	NOUN
esrj-101556	31	5	often	often	ADV
esrj-101556	31	6	hinders	hinder	VERB
esrj-101556	31	7	decision	decision	NOUN
esrj-101556	31	8	-	-	PUNCT
esrj-101556	31	9	making	making	NOUN
esrj-101556	31	10	at	at	ADP
esrj-101556	31	11	drilling	drilling	NOUN
esrj-101556	31	12	sites	site	NOUN
esrj-101556	31	13	,	,	PUNCT
esrj-101556	31	14	particularly	particularly	ADV
esrj-101556	31	15	in	in	ADP
esrj-101556	31	16	activities	activity	NOUN
esrj-101556	31	17	related	relate	VERB
esrj-101556	31	18	to	to	ADP
esrj-101556	31	19	fractures	fracture	NOUN
esrj-101556	31	20	detection	detection	NOUN
esrj-101556	31	21	,	,	PUNCT
esrj-101556	31	22	intervals	interval	NOUN
esrj-101556	31	23	selection	selection	NOUN
esrj-101556	31	24	for	for	ADP
esrj-101556	31	25	pressure	pressure	NOUN
esrj-101556	31	26	or	or	CCONJ
esrj-101556	31	27	fluids	fluid	NOUN
esrj-101556	31	28	tests	test	NOUN
esrj-101556	31	29	,	,	PUNCT
esrj-101556	31	30	or	or	CCONJ
esrj-101556	31	31	geosteering	geosteere	VERB
esrj-101556	31	32	programs	program	NOUN
esrj-101556	31	33	.	.	PUNCT
esrj-101556	32	1	the	the	DET
esrj-101556	32	2	lack	lack	NOUN
esrj-101556	32	3	of	of	ADP
esrj-101556	32	4	information	information	NOUN
esrj-101556	32	5	provided	provide	VERB
esrj-101556	32	6	by	by	ADP
esrj-101556	32	7	image	image	NOUN
esrj-101556	32	8	logs	log	NOUN
esrj-101556	32	9	might	might	AUX
esrj-101556	32	10	result	result	VERB
esrj-101556	32	11	in	in	ADP
esrj-101556	32	12	operational	operational	ADJ
esrj-101556	32	13	problems	problem	NOUN
esrj-101556	32	14	,	,	PUNCT
esrj-101556	32	15	and	and	CCONJ
esrj-101556	32	16	subsequent	subsequent	ADJ
esrj-101556	32	17	economic	economic	ADJ
esrj-101556	32	18	losses	loss	NOUN
esrj-101556	32	19	for	for	ADP
esrj-101556	32	20	field	field	NOUN
esrj-101556	32	21	operators	operator	NOUN
esrj-101556	32	22	.	.	PUNCT
esrj-101556	33	1	in	in	ADP
esrj-101556	33	2	order	order	NOUN
esrj-101556	33	3	to	to	PART
esrj-101556	33	4	get	get	VERB
esrj-101556	33	5	information	information	NOUN
esrj-101556	33	6	shortly	shortly	ADV
esrj-101556	33	7	after	after	SCONJ
esrj-101556	33	8	image	image	NOUN
esrj-101556	33	9	logs	log	NOUN
esrj-101556	33	10	are	be	AUX
esrj-101556	33	11	acquired	acquire	VERB
esrj-101556	33	12	,	,	PUNCT
esrj-101556	33	13	several	several	ADJ
esrj-101556	33	14	automatic	automatic	ADJ
esrj-101556	33	15	dip	dip	NOUN
esrj-101556	33	16	picking	picking	NOUN
esrj-101556	33	17	or	or	CCONJ
esrj-101556	33	18	autodip	autodip	ADJ
esrj-101556	33	19	techniques	technique	NOUN
esrj-101556	33	20	are	be	AUX
esrj-101556	33	21	employed	employ	VERB
esrj-101556	33	22	;	;	PUNCT
esrj-101556	33	23	these	these	DET
esrj-101556	33	24	techniques	technique	NOUN
esrj-101556	33	25	have	have	AUX
esrj-101556	33	26	been	be	AUX
esrj-101556	33	27	utilized	utilize	VERB
esrj-101556	33	28	since	since	SCONJ
esrj-101556	33	29	decades	decade	NOUN
esrj-101556	33	30	ago	ago	ADV
esrj-101556	33	31	with	with	ADP
esrj-101556	33	32	resistivity	resistivity	NOUN
esrj-101556	33	33	data	datum	NOUN
esrj-101556	33	34	of	of	ADP
esrj-101556	33	35	dipmeter	dipmeter	NOUN
esrj-101556	33	36	and	and	CCONJ
esrj-101556	33	37	borehole	borehole	NOUN
esrj-101556	33	38	imaging	imaging	NOUN
esrj-101556	33	39	tools	tool	NOUN
esrj-101556	33	40	(	(	PUNCT
esrj-101556	33	41	grace	grace	NOUN
esrj-101556	33	42	,	,	PUNCT
esrj-101556	33	43	et	et	PROPN
esrj-101556	33	44	al	al	PROPN
esrj-101556	33	45	.	.	PROPN
esrj-101556	33	46	,	,	PUNCT
esrj-101556	33	47	2000	2000	NUM
esrj-101556	33	48	)	)	PUNCT
esrj-101556	33	49	.	.	PUNCT
esrj-101556	34	1	these	these	DET
esrj-101556	34	2	techniques	technique	NOUN
esrj-101556	34	3	can	can	AUX
esrj-101556	34	4	not	not	PART
esrj-101556	34	5	classify	classify	VERB
esrj-101556	34	6	the	the	DET
esrj-101556	34	7	detected	detect	VERB
esrj-101556	34	8	dip	dip	NOUN
esrj-101556	34	9	and	and	CCONJ
esrj-101556	34	10	sinusoid	sinusoid	NOUN
esrj-101556	34	11	,	,	PUNCT
esrj-101556	34	12	but	but	CCONJ
esrj-101556	34	13	they	they	PRON
esrj-101556	34	14	can	can	AUX
esrj-101556	34	15	give	give	VERB
esrj-101556	34	16	information	information	NOUN
esrj-101556	34	17	about	about	ADP
esrj-101556	34	18	the	the	DET
esrj-101556	34	19	structural	structural	ADJ
esrj-101556	34	20	framework	framework	NOUN
esrj-101556	34	21	and	and	CCONJ
esrj-101556	34	22	sedimentary	sedimentary	ADJ
esrj-101556	34	23	features	feature	NOUN
esrj-101556	34	24	along	along	ADP
esrj-101556	34	25	the	the	DET
esrj-101556	34	26	wells	well	NOUN
esrj-101556	34	27	.	.	PUNCT
esrj-101556	35	1	the	the	DET
esrj-101556	35	2	autodip	autodip	ADJ
esrj-101556	35	3	approaches	approach	NOUN
esrj-101556	35	4	are	be	AUX
esrj-101556	35	5	based	base	VERB
esrj-101556	35	6	on	on	ADP
esrj-101556	35	7	correlation	correlation	NOUN
esrj-101556	35	8	between	between	ADP
esrj-101556	35	9	resistivity	resistivity	NOUN
esrj-101556	35	10	curves	curve	NOUN
esrj-101556	35	11	around	around	ADP
esrj-101556	35	12	the	the	DET
esrj-101556	35	13	borehole	borehole	NOUN
esrj-101556	35	14	to	to	PART
esrj-101556	35	15	identify	identify	VERB
esrj-101556	35	16	displacements	displacement	NOUN
esrj-101556	35	17	,	,	PUNCT
esrj-101556	35	18	which	which	PRON
esrj-101556	35	19	then	then	ADV
esrj-101556	35	20	define	define	VERB
esrj-101556	35	21	a	a	DET
esrj-101556	35	22	surface	surface	NOUN
esrj-101556	35	23	across	across	ADP
esrj-101556	35	24	the	the	DET
esrj-101556	35	25	borehole	borehole	NOUN
esrj-101556	35	26	(	(	PUNCT
esrj-101556	35	27	rider	rider	NOUN
esrj-101556	35	28	,	,	PUNCT
esrj-101556	35	29	2000	2000	NUM
esrj-101556	35	30	)	)	PUNCT
esrj-101556	35	31	.	.	PUNCT
esrj-101556	36	1	among	among	ADP
esrj-101556	36	2	practical	practical	ADJ
esrj-101556	36	3	methods	method	NOUN
esrj-101556	36	4	,	,	PUNCT
esrj-101556	36	5	the	the	DET
esrj-101556	36	6	mean	mean	ADJ
esrj-101556	36	7	square	square	ADJ
esrj-101556	36	8	dip	dip	NOUN
esrj-101556	36	9	(	(	PUNCT
esrj-101556	36	10	msd	msd	NOUN
esrj-101556	36	11	)	)	PUNCT
esrj-101556	36	12	is	be	AUX
esrj-101556	36	13	one	one	NUM
esrj-101556	36	14	of	of	ADP
esrj-101556	36	15	the	the	DET
esrj-101556	36	16	most	most	ADV
esrj-101556	36	17	commonly	commonly	ADV
esrj-101556	36	18	applied	apply	VERB
esrj-101556	36	19	technique	technique	NOUN
esrj-101556	36	20	(	(	PUNCT
esrj-101556	36	21	grace	grace	NOUN
esrj-101556	36	22	,	,	PUNCT
esrj-101556	36	23	et	et	PROPN
esrj-101556	36	24	al	al	PROPN
esrj-101556	36	25	.	.	PROPN
esrj-101556	36	26	,	,	PUNCT
esrj-101556	36	27	2000	2000	NUM
esrj-101556	36	28	)	)	PUNCT
esrj-101556	36	29	.	.	PUNCT
esrj-101556	37	1	although	although	SCONJ
esrj-101556	37	2	the	the	DET
esrj-101556	37	3	msd	msd	NOUN
esrj-101556	37	4	may	may	AUX
esrj-101556	37	5	lack	lack	VERB
esrj-101556	37	6	of	of	ADP
esrj-101556	37	7	accuracy	accuracy	NOUN
esrj-101556	37	8	and	and	CCONJ
esrj-101556	37	9	provide	provide	VERB
esrj-101556	37	10	just	just	ADV
esrj-101556	37	11	a	a	DET
esrj-101556	37	12	few	few	ADJ
esrj-101556	37	13	samples	sample	NOUN
esrj-101556	37	14	in	in	ADP
esrj-101556	37	15	some	some	DET
esrj-101556	37	16	cases	case	NOUN
esrj-101556	37	17	,	,	PUNCT
esrj-101556	37	18	it	it	PRON
esrj-101556	37	19	is	be	AUX
esrj-101556	37	20	still	still	ADV
esrj-101556	37	21	one	one	NUM
esrj-101556	37	22	of	of	ADP
esrj-101556	37	23	the	the	DET
esrj-101556	37	24	standard	standard	ADJ
esrj-101556	37	25	methods	method	NOUN
esrj-101556	37	26	for	for	ADP
esrj-101556	37	27	automatic	automatic	ADJ
esrj-101556	37	28	planar	planar	ADJ
esrj-101556	37	29	geologic	geologic	ADJ
esrj-101556	37	30	feature	feature	NOUN
esrj-101556	37	31	detection	detection	NOUN
esrj-101556	37	32	in	in	ADP
esrj-101556	37	33	oil	oil	NOUN
esrj-101556	37	34	wells	well	NOUN
esrj-101556	37	35	.	.	PUNCT
esrj-101556	38	1	this	this	DET
esrj-101556	38	2	method	method	NOUN
esrj-101556	38	3	is	be	AUX
esrj-101556	38	4	employed	employ	VERB
esrj-101556	38	5	by	by	ADP
esrj-101556	38	6	most	most	ADJ
esrj-101556	38	7	oilfield	oilfield	NOUN
esrj-101556	38	8	service	service	NOUN
esrj-101556	38	9	companies	company	NOUN
esrj-101556	38	10	when	when	SCONJ
esrj-101556	38	11	automatic	automatic	ADJ
esrj-101556	38	12	image	image	NOUN
esrj-101556	38	13	picking	picking	NOUN
esrj-101556	38	14	is	be	AUX
esrj-101556	38	15	required	require	VERB
esrj-101556	38	16	.	.	PUNCT
esrj-101556	39	1	in	in	ADP
esrj-101556	39	2	the	the	DET
esrj-101556	39	3	latest	late	ADJ
esrj-101556	39	4	years	year	NOUN
esrj-101556	39	5	,	,	PUNCT
esrj-101556	39	6	several	several	ADJ
esrj-101556	39	7	authors	author	NOUN
esrj-101556	39	8	have	have	AUX
esrj-101556	39	9	proposed	propose	VERB
esrj-101556	39	10	some	some	DET
esrj-101556	39	11	methodologies	methodology	NOUN
esrj-101556	39	12	based	base	VERB
esrj-101556	39	13	on	on	ADP
esrj-101556	39	14	computer	computer	NOUN
esrj-101556	39	15	vision	vision	NOUN
esrj-101556	39	16	and	and	CCONJ
esrj-101556	39	17	machine	machine	NOUN
esrj-101556	39	18	learning	learn	VERB
esrj-101556	39	19	to	to	PART
esrj-101556	39	20	automatize	automatize	VERB
esrj-101556	39	21	dip	dip	NOUN
esrj-101556	39	22	detection	detection	NOUN
esrj-101556	39	23	in	in	ADP
esrj-101556	39	24	borehole	borehole	NOUN
esrj-101556	39	25	imaging	imaging	NOUN
esrj-101556	39	26	,	,	PUNCT
esrj-101556	39	27	the	the	DET
esrj-101556	39	28	most	most	ADV
esrj-101556	39	29	relevant	relevant	ADJ
esrj-101556	39	30	to	to	ADP
esrj-101556	39	31	this	this	DET
esrj-101556	39	32	research	research	NOUN
esrj-101556	39	33	are	be	AUX
esrj-101556	39	34	al	al	PROPN
esrj-101556	39	35	-	-	PUNCT
esrj-101556	39	36	sit	sit	PROPN
esrj-101556	39	37	,	,	PUNCT
esrj-101556	39	38	et	et	PROPN
esrj-101556	39	39	al	al	PROPN
esrj-101556	39	40	.	.	PROPN
esrj-101556	39	41	,	,	PUNCT
esrj-101556	39	42	2015	2015	NUM
esrj-101556	39	43	;	;	PUNCT
esrj-101556	39	44	assous	assous	ADJ
esrj-101556	39	45	,	,	PUNCT
esrj-101556	39	46	et	et	PROPN
esrj-101556	39	47	al	al	PROPN
esrj-101556	39	48	.	.	PROPN
esrj-101556	39	49	,	,	PUNCT
esrj-101556	39	50	2014	2014	NUM
esrj-101556	39	51	.	.	PUNCT
esrj-101556	40	1	al	al	PROPN
esrj-101556	40	2	-	-	PUNCT
esrj-101556	40	3	sit	sit	PROPN
esrj-101556	40	4	,	,	PUNCT
esrj-101556	40	5	et	et	PROPN
esrj-101556	40	6	al	al	PROPN
esrj-101556	40	7	.	.	PROPN
esrj-101556	40	8	,	,	PUNCT
esrj-101556	40	9	2015	2015	NUM
esrj-101556	40	10	suggest	suggest	VERB
esrj-101556	40	11	multi	multi	ADJ
esrj-101556	40	12	-	-	ADJ
esrj-101556	40	13	resolution	resolution	ADJ
esrj-101556	40	14	texture	texture	ADJ
esrj-101556	40	15	segmentation	segmentation	NOUN
esrj-101556	40	16	and	and	CCONJ
esrj-101556	40	17	pattern	pattern	NOUN
esrj-101556	40	18	recognition	recognition	NOUN
esrj-101556	40	19	utilizing	utilize	VERB
esrj-101556	40	20	gabor	gabor	PROPN
esrj-101556	40	21	’s	’s	PART
esrj-101556	40	22	filters	filter	NOUN
esrj-101556	40	23	(	(	PUNCT
esrj-101556	40	24	gabor	gabor	NOUN
esrj-101556	40	25	,	,	PUNCT
esrj-101556	40	26	1946	1946	NUM
esrj-101556	40	27	)	)	PUNCT
esrj-101556	40	28	.	.	PUNCT
esrj-101556	41	1	this	this	DET
esrj-101556	41	2	processing	processing	NOUN
esrj-101556	41	3	is	be	AUX
esrj-101556	41	4	combined	combine	VERB
esrj-101556	41	5	with	with	ADP
esrj-101556	41	6	an	an	DET
esrj-101556	41	7	iterative	iterative	NOUN
esrj-101556	41	8	adaptation	adaptation	NOUN
esrj-101556	41	9	of	of	ADP
esrj-101556	41	10	the	the	DET
esrj-101556	41	11	modified	modify	VERB
esrj-101556	41	12	hough	hough	PROPN
esrj-101556	41	13	’s	’s	PART
esrj-101556	41	14	transform	transform	NOUN
esrj-101556	41	15	to	to	PART
esrj-101556	41	16	enable	enable	VERB
esrj-101556	41	17	non	non	ADJ
esrj-101556	41	18	-	-	ADJ
esrj-101556	41	19	distinct	distinct	ADJ
esrj-101556	41	20	,	,	PUNCT
esrj-101556	41	21	partial	partial	ADJ
esrj-101556	41	22	,	,	PUNCT
esrj-101556	41	23	distorted	distort	VERB
esrj-101556	41	24	,	,	PUNCT
esrj-101556	41	25	and	and	CCONJ
esrj-101556	41	26	steep	steep	ADJ
esrj-101556	41	27	fracture	fracture	NOUN
esrj-101556	41	28	and	and	CCONJ
esrj-101556	41	29	layers	layer	NOUN
esrj-101556	41	30	identification	identification	NOUN
esrj-101556	41	31	.	.	PUNCT
esrj-101556	42	1	in	in	ADP
esrj-101556	42	2	this	this	DET
esrj-101556	42	3	article	article	NOUN
esrj-101556	42	4	,	,	PUNCT
esrj-101556	42	5	the	the	DET
esrj-101556	42	6	tests	test	NOUN
esrj-101556	42	7	were	be	AUX
esrj-101556	42	8	conducted	conduct	VERB
esrj-101556	42	9	using	use	VERB
esrj-101556	42	10	an	an	DET
esrj-101556	42	11	optical	optical	ADJ
esrj-101556	42	12	televiewer	televiewer	NOUN
esrj-101556	42	13	tool	tool	NOUN
esrj-101556	42	14	,	,	PUNCT
esrj-101556	42	15	which	which	PRON
esrj-101556	42	16	provides	provide	VERB
esrj-101556	42	17	360	360	NUM
esrj-101556	42	18	°	°	NOUN
esrj-101556	42	19	images	image	NOUN
esrj-101556	42	20	of	of	ADP
esrj-101556	42	21	the	the	DET
esrj-101556	42	22	wellbore	wellbore	NOUN
esrj-101556	42	23	wall	wall	NOUN
esrj-101556	42	24	.	.	PUNCT
esrj-101556	43	1	image	image	NOUN
esrj-101556	43	2	processing	processing	NOUN
esrj-101556	43	3	in	in	ADP
esrj-101556	43	4	this	this	DET
esrj-101556	43	5	case	case	NOUN
esrj-101556	43	6	did	do	AUX
esrj-101556	43	7	not	not	PART
esrj-101556	43	8	require	require	VERB
esrj-101556	43	9	procedures	procedure	NOUN
esrj-101556	43	10	of	of	ADP
esrj-101556	43	11	image	image	NOUN
esrj-101556	43	12	reconstruction	reconstruction	NOUN
esrj-101556	43	13	like	like	ADP
esrj-101556	43	14	the	the	DET
esrj-101556	43	15	present	present	ADJ
esrj-101556	43	16	work	work	NOUN
esrj-101556	43	17	does	do	VERB
esrj-101556	43	18	.	.	PUNCT
esrj-101556	44	1	assous	assous	ADJ
esrj-101556	44	2	,	,	PUNCT
esrj-101556	44	3	et	et	PROPN
esrj-101556	44	4	al	al	PROPN
esrj-101556	44	5	.	.	PROPN
esrj-101556	44	6	,	,	PUNCT
esrj-101556	44	7	2014	2014	NUM
esrj-101556	44	8	propose	propose	VERB
esrj-101556	44	9	a	a	DET
esrj-101556	44	10	gradient	gradient	NOUN
esrj-101556	44	11	-	-	PUNCT
esrj-101556	44	12	based	base	VERB
esrj-101556	44	13	approach	approach	NOUN
esrj-101556	44	14	for	for	ADP
esrj-101556	44	15	edge	edge	NOUN
esrj-101556	44	16	detection	detection	NOUN
esrj-101556	44	17	with	with	ADP
esrj-101556	44	18	a	a	DET
esrj-101556	44	19	phase	phase	NOUN
esrj-101556	44	20	congruency	congruency	NOUN
esrj-101556	44	21	method	method	NOUN
esrj-101556	44	22	for	for	ADP
esrj-101556	44	23	validation	validation	NOUN
esrj-101556	44	24	,	,	PUNCT
esrj-101556	44	25	followed	follow	VERB
esrj-101556	44	26	by	by	ADP
esrj-101556	44	27	a	a	DET
esrj-101556	44	28	sinusoid	sinusoid	ADJ
esrj-101556	44	29	detection	detection	NOUN
esrj-101556	44	30	technique	technique	NOUN
esrj-101556	44	31	.	.	PUNCT
esrj-101556	45	1	the	the	DET
esrj-101556	45	2	method	method	NOUN
esrj-101556	45	3	was	be	AUX
esrj-101556	45	4	evaluated	evaluate	VERB
esrj-101556	45	5	using	use	VERB
esrj-101556	45	6	borehole	borehole	NOUN
esrj-101556	45	7	resistivity	resistivity	NOUN
esrj-101556	45	8	imaging	imaging	NOUN
esrj-101556	45	9	from	from	ADP
esrj-101556	45	10	wireline	wireline	NOUN
esrj-101556	45	11	and	and	CCONJ
esrj-101556	45	12	logging	log	VERB
esrj-101556	45	13	while	while	SCONJ
esrj-101556	45	14	drilling	drilling	NOUN
esrj-101556	45	15	tools	tool	NOUN
esrj-101556	45	16	.	.	PUNCT
esrj-101556	46	1	the	the	DET
esrj-101556	46	2	proportion	proportion	NOUN
esrj-101556	46	3	of	of	ADP
esrj-101556	46	4	false	false	ADJ
esrj-101556	46	5	positives	positive	NOUN
esrj-101556	46	6	reported	report	VERB
esrj-101556	46	7	,	,	PUNCT
esrj-101556	46	8	in	in	ADP
esrj-101556	46	9	the	the	DET
esrj-101556	46	10	case	case	NOUN
esrj-101556	46	11	of	of	ADP
esrj-101556	46	12	noisy	noisy	ADJ
esrj-101556	46	13	data	datum	NOUN
esrj-101556	46	14	is	be	AUX
esrj-101556	46	15	less	less	ADJ
esrj-101556	46	16	than	than	ADP
esrj-101556	46	17	5	5	NUM
esrj-101556	46	18	%	%	NOUN
esrj-101556	46	19	,	,	PUNCT
esrj-101556	46	20	improving	improve	VERB
esrj-101556	46	21	to	to	ADP
esrj-101556	46	22	better	well	ADJ
esrj-101556	46	23	than	than	ADP
esrj-101556	46	24	2	2	NUM
esrj-101556	46	25	%	%	NOUN
esrj-101556	46	26	in	in	ADP
esrj-101556	46	27	case	case	NOUN
esrj-101556	46	28	of	of	ADP
esrj-101556	46	29	good	good	ADJ
esrj-101556	46	30	quality	quality	NOUN
esrj-101556	46	31	data	datum	NOUN
esrj-101556	46	32	.	.	PUNCT
esrj-101556	47	1	these	these	DET
esrj-101556	47	2	authors	author	NOUN
esrj-101556	47	3	do	do	AUX
esrj-101556	47	4	not	not	PART
esrj-101556	47	5	employ	employ	VERB
esrj-101556	47	6	gabor	gabor	PROPN
esrj-101556	47	7	’s	’s	PART
esrj-101556	47	8	filter	filter	NOUN
esrj-101556	47	9	,	,	PUNCT
esrj-101556	47	10	instead	instead	ADV
esrj-101556	47	11	,	,	PUNCT
esrj-101556	47	12	they	they	PRON
esrj-101556	47	13	use	use	VERB
esrj-101556	47	14	an	an	DET
esrj-101556	47	15	edge	edge	NOUN
esrj-101556	47	16	detection	detection	NOUN
esrj-101556	47	17	technique	technique	NOUN
esrj-101556	47	18	based	base	VERB
esrj-101556	47	19	on	on	ADP
esrj-101556	47	20	the	the	DET
esrj-101556	47	21	lindeberg	lindeberg	PROPN
esrj-101556	47	22	algorithm	algorithm	PROPN
esrj-101556	47	23	(	(	PUNCT
esrj-101556	47	24	lindeberg	lindeberg	PROPN
esrj-101556	47	25	,	,	PUNCT
esrj-101556	47	26	1996	1996	NUM
esrj-101556	47	27	)	)	PUNCT
esrj-101556	47	28	;	;	PUNCT
esrj-101556	47	29	moreover	moreover	ADV
esrj-101556	47	30	,	,	PUNCT
esrj-101556	47	31	they	they	PRON
esrj-101556	47	32	do	do	AUX
esrj-101556	47	33	not	not	PART
esrj-101556	47	34	consider	consider	VERB
esrj-101556	47	35	any	any	DET
esrj-101556	47	36	clustering	clustering	ADJ
esrj-101556	47	37	technique	technique	NOUN
esrj-101556	47	38	to	to	PART
esrj-101556	47	39	debug	debug	VERB
esrj-101556	47	40	the	the	DET
esrj-101556	47	41	final	final	ADJ
esrj-101556	47	42	results	result	NOUN
esrj-101556	47	43	.	.	PUNCT
esrj-101556	48	1	the	the	DET
esrj-101556	48	2	present	present	ADJ
esrj-101556	48	3	work	work	NOUN
esrj-101556	48	4	proposes	propose	VERB
esrj-101556	48	5	an	an	DET
esrj-101556	48	6	automatic	automatic	ADJ
esrj-101556	48	7	dip	dip	NOUN
esrj-101556	48	8	picking	picking	NOUN
esrj-101556	48	9	procedure	procedure	NOUN
esrj-101556	48	10	based	base	VERB
esrj-101556	48	11	on	on	ADP
esrj-101556	48	12	bio	bio	ADJ
esrj-101556	48	13	-	-	PUNCT
esrj-101556	48	14	inspired	inspire	VERB
esrj-101556	48	15	image	image	NOUN
esrj-101556	48	16	filters	filter	NOUN
esrj-101556	48	17	(	(	PUNCT
esrj-101556	48	18	gabor	gabor	PROPN
esrj-101556	48	19	’s	’s	PART
esrj-101556	48	20	filter	filter	NOUN
esrj-101556	48	21	)	)	PUNCT
esrj-101556	48	22	,	,	PUNCT
esrj-101556	48	23	along	along	ADP
esrj-101556	48	24	with	with	ADP
esrj-101556	48	25	morphological	morphological	ADJ
esrj-101556	48	26	transformations	transformation	NOUN
esrj-101556	48	27	to	to	PART
esrj-101556	48	28	highlight	highlight	VERB
esrj-101556	48	29	the	the	DET
esrj-101556	48	30	edges	edge	NOUN
esrj-101556	48	31	.	.	PUNCT
esrj-101556	49	1	furthermore	furthermore	ADV
esrj-101556	49	2	,	,	PUNCT
esrj-101556	49	3	this	this	DET
esrj-101556	49	4	work	work	NOUN
esrj-101556	49	5	employs	employ	VERB
esrj-101556	49	6	hough	hough	PROPN
esrj-101556	49	7	’s	’s	PART
esrj-101556	49	8	transform	transform	NOUN
esrj-101556	49	9	to	to	PART
esrj-101556	49	10	detect	detect	VERB
esrj-101556	49	11	one	one	NUM
esrj-101556	49	12	-	-	PUNCT
esrj-101556	49	13	cycle	cycle	NOUN
esrj-101556	49	14	sinusoidal	sinusoidal	NOUN
esrj-101556	49	15	objects	object	NOUN
esrj-101556	49	16	and	and	CCONJ
esrj-101556	49	17	unsupervised	unsupervised	ADJ
esrj-101556	49	18	machine	machine	NOUN
esrj-101556	49	19	learning	learning	NOUN
esrj-101556	49	20	(	(	PUNCT
esrj-101556	49	21	clustering	clustering	NOUN
esrj-101556	49	22	)	)	PUNCT
esrj-101556	49	23	to	to	PART
esrj-101556	49	24	refine	refine	VERB
esrj-101556	49	25	the	the	DET
esrj-101556	49	26	outcomes	outcome	NOUN
esrj-101556	49	27	.	.	PUNCT
esrj-101556	50	1	this	this	DET
esrj-101556	50	2	research	research	NOUN
esrj-101556	50	3	shows	show	VERB
esrj-101556	50	4	figure	figure	NOUN
esrj-101556	50	5	1	1	NUM
esrj-101556	50	6	.	.	NOUN
esrj-101556	50	7	example	example	NOUN
esrj-101556	50	8	of	of	ADP
esrj-101556	50	9	dynamic	dynamic	ADJ
esrj-101556	50	10	(	(	PUNCT
esrj-101556	50	11	left	left	ADJ
esrj-101556	50	12	)	)	PUNCT
esrj-101556	50	13	and	and	CCONJ
esrj-101556	50	14	static	static	ADJ
esrj-101556	50	15	(	(	PUNCT
esrj-101556	50	16	right	right	ADJ
esrj-101556	50	17	)	)	PUNCT
esrj-101556	50	18	images	image	NOUN
esrj-101556	50	19	.	.	PUNCT
esrj-101556	51	1	141computer	141computer	NUM
esrj-101556	51	2	vision	vision	NOUN
esrj-101556	51	3	techniques	technique	NOUN
esrj-101556	51	4	applied	apply	VERB
esrj-101556	51	5	to	to	ADP
esrj-101556	51	6	automatic	automatic	ADJ
esrj-101556	51	7	detection	detection	NOUN
esrj-101556	51	8	of	of	ADP
esrj-101556	51	9	sinusoids	sinusoid	NOUN
esrj-101556	51	10	in	in	ADP
esrj-101556	51	11	borehole	borehole	NOUN
esrj-101556	51	12	resistivity	resistivity	NOUN
esrj-101556	51	13	imaging	imaging	NOUN
esrj-101556	51	14	–	–	PUNCT
esrj-101556	51	15	a	a	DET
esrj-101556	51	16	comparison	comparison	NOUN
esrj-101556	51	17	with	with	ADP
esrj-101556	51	18	the	the	DET
esrj-101556	51	19	msd	msd	NOUN
esrj-101556	51	20	method	method	NOUN
esrj-101556	51	21	that	that	PRON
esrj-101556	51	22	computer	computer	NOUN
esrj-101556	51	23	vision	vision	NOUN
esrj-101556	51	24	techniques	technique	NOUN
esrj-101556	51	25	can	can	AUX
esrj-101556	51	26	replace	replace	VERB
esrj-101556	51	27	the	the	DET
esrj-101556	51	28	typical	typical	ADJ
esrj-101556	51	29	correlation	correlation	NOUN
esrj-101556	51	30	between	between	ADP
esrj-101556	51	31	resistivity	resistivity	NOUN
esrj-101556	51	32	curves	curve	NOUN
esrj-101556	51	33	when	when	SCONJ
esrj-101556	51	34	automatic	automatic	ADJ
esrj-101556	51	35	dip	dip	NOUN
esrj-101556	51	36	processing	processing	NOUN
esrj-101556	51	37	is	be	AUX
esrj-101556	51	38	required	require	VERB
esrj-101556	51	39	.	.	PUNCT
esrj-101556	52	1	like	like	INTJ
esrj-101556	52	2	in	in	ADP
esrj-101556	52	3	the	the	DET
esrj-101556	52	4	msd	msd	NOUN
esrj-101556	52	5	,	,	PUNCT
esrj-101556	52	6	detected	detect	VERB
esrj-101556	52	7	sinusoids	sinusoid	NOUN
esrj-101556	52	8	in	in	ADP
esrj-101556	52	9	this	this	DET
esrj-101556	52	10	work	work	NOUN
esrj-101556	52	11	are	be	AUX
esrj-101556	52	12	not	not	PART
esrj-101556	52	13	classified	classified	ADJ
esrj-101556	52	14	,	,	PUNCT
esrj-101556	52	15	but	but	CCONJ
esrj-101556	52	16	they	they	PRON
esrj-101556	52	17	can	can	AUX
esrj-101556	52	18	be	be	AUX
esrj-101556	52	19	employed	employ	VERB
esrj-101556	52	20	for	for	ADP
esrj-101556	52	21	structural	structural	ADJ
esrj-101556	52	22	,	,	PUNCT
esrj-101556	52	23	sedimentological	sedimentological	ADJ
esrj-101556	52	24	,	,	PUNCT
esrj-101556	52	25	and	and	CCONJ
esrj-101556	52	26	natural	natural	ADJ
esrj-101556	52	27	fractures	fracture	NOUN
esrj-101556	52	28	analyses	analysis	NOUN
esrj-101556	52	29	.	.	PUNCT
esrj-101556	53	1	next	next	ADJ
esrj-101556	53	2	paragraphs	paragraph	NOUN
esrj-101556	53	3	explain	explain	VERB
esrj-101556	53	4	the	the	DET
esrj-101556	53	5	computer	computer	NOUN
esrj-101556	53	6	vision	vision	NOUN
esrj-101556	53	7	techniques	technique	NOUN
esrj-101556	53	8	employed	employ	VERB
esrj-101556	53	9	in	in	ADP
esrj-101556	53	10	a	a	DET
esrj-101556	53	11	friendly	friendly	ADJ
esrj-101556	53	12	sequence	sequence	NOUN
esrj-101556	53	13	of	of	ADP
esrj-101556	53	14	stages	stage	NOUN
esrj-101556	53	15	,	,	PUNCT
esrj-101556	53	16	easy	easy	ADJ
esrj-101556	53	17	to	to	PART
esrj-101556	53	18	follow	follow	VERB
esrj-101556	53	19	for	for	ADP
esrj-101556	53	20	borehole	borehole	NOUN
esrj-101556	53	21	geologists	geologist	NOUN
esrj-101556	53	22	and	and	CCONJ
esrj-101556	53	23	software	software	NOUN
esrj-101556	53	24	developers	developer	NOUN
esrj-101556	53	25	.	.	PUNCT
esrj-101556	54	1	2	2	X
esrj-101556	54	2	.	.	X
esrj-101556	54	3	borehole	borehole	NOUN
esrj-101556	54	4	resistivity	resistivity	NOUN
esrj-101556	54	5	imaging	image	VERB
esrj-101556	54	6	the	the	DET
esrj-101556	54	7	resistivity	resistivity	NOUN
esrj-101556	54	8	images	image	NOUN
esrj-101556	54	9	utilized	utilize	VERB
esrj-101556	54	10	in	in	ADP
esrj-101556	54	11	this	this	DET
esrj-101556	54	12	research	research	NOUN
esrj-101556	54	13	were	be	AUX
esrj-101556	54	14	acquired	acquire	VERB
esrj-101556	54	15	in	in	ADP
esrj-101556	54	16	water	water	NOUN
esrj-101556	54	17	mud	mud	NOUN
esrj-101556	54	18	environment	environment	NOUN
esrj-101556	54	19	employing	employ	VERB
esrj-101556	54	20	pad	pad	NOUN
esrj-101556	54	21	-	-	PUNCT
esrj-101556	54	22	based	base	VERB
esrj-101556	54	23	tools	tool	NOUN
esrj-101556	54	24	.	.	PUNCT
esrj-101556	55	1	this	this	DET
esrj-101556	55	2	log	log	NOUN
esrj-101556	55	3	represents	represent	VERB
esrj-101556	55	4	a	a	DET
esrj-101556	55	5	two	two	NUM
esrj-101556	55	6	-	-	PUNCT
esrj-101556	55	7	dimensional	dimensional	ADJ
esrj-101556	55	8	view	view	NOUN
esrj-101556	55	9	of	of	ADP
esrj-101556	55	10	the	the	DET
esrj-101556	55	11	borehole	borehole	NOUN
esrj-101556	55	12	wall	wall	NOUN
esrj-101556	55	13	,	,	PUNCT
esrj-101556	55	14	it	it	PRON
esrj-101556	55	15	has	have	VERB
esrj-101556	55	16	vertical	vertical	ADJ
esrj-101556	55	17	resolution	resolution	NOUN
esrj-101556	55	18	of	of	ADP
esrj-101556	55	19	5.0	5.0	NUM
esrj-101556	55	20	millimeters	millimeter	NOUN
esrj-101556	55	21	and	and	CCONJ
esrj-101556	55	22	coverage	coverage	NOUN
esrj-101556	55	23	of	of	ADP
esrj-101556	55	24	80	80	NUM
esrj-101556	55	25	%	%	NOUN
esrj-101556	55	26	(	(	PUNCT
esrj-101556	55	27	holes	hole	VERB
esrj-101556	55	28	with	with	ADP
esrj-101556	55	29	21.59	21.59	NUM
esrj-101556	55	30	cm	cm	NOUN
esrj-101556	55	31	in	in	ADP
esrj-101556	55	32	diameter	diameter	NOUN
esrj-101556	55	33	)	)	PUNCT
esrj-101556	55	34	.	.	PUNCT
esrj-101556	56	1	borehole	borehole	NOUN
esrj-101556	56	2	imaging	imaging	NOUN
esrj-101556	56	3	provides	provide	VERB
esrj-101556	56	4	information	information	NOUN
esrj-101556	56	5	about	about	ADP
esrj-101556	56	6	structural	structural	ADJ
esrj-101556	56	7	dip	dip	NOUN
esrj-101556	56	8	,	,	PUNCT
esrj-101556	56	9	sedimentary	sedimentary	ADJ
esrj-101556	56	10	structures	structure	NOUN
esrj-101556	56	11	,	,	PUNCT
esrj-101556	56	12	thin	thin	ADJ
esrj-101556	56	13	layers	layer	NOUN
esrj-101556	56	14	,	,	PUNCT
esrj-101556	56	15	electrofacies	electrofacie	NOUN
esrj-101556	56	16	,	,	PUNCT
esrj-101556	56	17	fracture	fracture	NOUN
esrj-101556	56	18	networks	network	NOUN
esrj-101556	56	19	,	,	PUNCT
esrj-101556	56	20	and	and	CCONJ
esrj-101556	56	21	horizontal	horizontal	ADJ
esrj-101556	56	22	stress	stress	NOUN
esrj-101556	56	23	orientation	orientation	NOUN
esrj-101556	56	24	in	in	ADP
esrj-101556	56	25	the	the	DET
esrj-101556	56	26	field	field	NOUN
esrj-101556	56	27	,	,	PUNCT
esrj-101556	56	28	among	among	ADP
esrj-101556	56	29	other	other	ADJ
esrj-101556	56	30	applications	application	NOUN
esrj-101556	56	31	(	(	PUNCT
esrj-101556	56	32	grace	grace	NOUN
esrj-101556	56	33	,	,	PUNCT
esrj-101556	56	34	et	et	PROPN
esrj-101556	56	35	al	al	PROPN
esrj-101556	56	36	.	.	PROPN
esrj-101556	56	37	,	,	PUNCT
esrj-101556	56	38	2000	2000	NUM
esrj-101556	56	39	)	)	PUNCT
esrj-101556	56	40	.	.	PUNCT
esrj-101556	57	1	the	the	DET
esrj-101556	57	2	image	image	NOUN
esrj-101556	57	3	generation	generation	NOUN
esrj-101556	57	4	follows	follow	VERB
esrj-101556	57	5	a	a	DET
esrj-101556	57	6	regular	regular	ADJ
esrj-101556	57	7	sequence	sequence	NOUN
esrj-101556	57	8	,	,	PUNCT
esrj-101556	57	9	beginning	begin	VERB
esrj-101556	57	10	with	with	ADP
esrj-101556	57	11	log	log	NOUN
esrj-101556	57	12	quality	quality	NOUN
esrj-101556	57	13	control	control	NOUN
esrj-101556	57	14	,	,	PUNCT
esrj-101556	57	15	speed	speed	NOUN
esrj-101556	57	16	correction	correction	NOUN
esrj-101556	57	17	,	,	PUNCT
esrj-101556	57	18	and	and	CCONJ
esrj-101556	57	19	finally	finally	ADV
esrj-101556	57	20	generation	generation	NOUN
esrj-101556	57	21	of	of	ADP
esrj-101556	57	22	the	the	DET
esrj-101556	57	23	dynamic	dynamic	ADJ
esrj-101556	57	24	and	and	CCONJ
esrj-101556	57	25	static	static	ADJ
esrj-101556	57	26	images	image	NOUN
esrj-101556	57	27	from	from	ADP
esrj-101556	57	28	resistivity	resistivity	NOUN
esrj-101556	57	29	data	datum	NOUN
esrj-101556	57	30	normalization	normalization	NOUN
esrj-101556	57	31	.	.	PUNCT
esrj-101556	58	1	the	the	DET
esrj-101556	58	2	dynamic	dynamic	ADJ
esrj-101556	58	3	normalization	normalization	NOUN
esrj-101556	58	4	is	be	AUX
esrj-101556	58	5	performed	perform	VERB
esrj-101556	58	6	each	each	DET
esrj-101556	58	7	foot	foot	NOUN
esrj-101556	58	8	or	or	CCONJ
esrj-101556	58	9	every	every	DET
esrj-101556	58	10	two	two	NUM
esrj-101556	58	11	feet	foot	NOUN
esrj-101556	58	12	of	of	ADP
esrj-101556	58	13	log	log	NOUN
esrj-101556	58	14	,	,	PUNCT
esrj-101556	58	15	providing	provide	VERB
esrj-101556	58	16	a	a	DET
esrj-101556	58	17	clear	clear	ADJ
esrj-101556	58	18	view	view	NOUN
esrj-101556	58	19	of	of	ADP
esrj-101556	58	20	rock	rock	NOUN
esrj-101556	58	21	details	detail	NOUN
esrj-101556	58	22	along	along	ADP
esrj-101556	58	23	the	the	DET
esrj-101556	58	24	well	well	NOUN
esrj-101556	58	25	;	;	PUNCT
esrj-101556	58	26	the	the	DET
esrj-101556	58	27	static	static	ADJ
esrj-101556	58	28	normalization	normalization	NOUN
esrj-101556	58	29	is	be	AUX
esrj-101556	58	30	performed	perform	VERB
esrj-101556	58	31	on	on	ADP
esrj-101556	58	32	the	the	DET
esrj-101556	58	33	whole	whole	ADJ
esrj-101556	58	34	logged	log	VERB
esrj-101556	58	35	interval	interval	NOUN
esrj-101556	58	36	,	,	PUNCT
esrj-101556	58	37	optimizing	optimize	VERB
esrj-101556	58	38	tool	tool	NOUN
esrj-101556	58	39	operations	operation	NOUN
esrj-101556	58	40	under	under	ADP
esrj-101556	58	41	extreme	extreme	ADJ
esrj-101556	58	42	resistivity	resistivity	NOUN
esrj-101556	58	43	values	value	NOUN
esrj-101556	58	44	(	(	PUNCT
esrj-101556	58	45	figure	figure	NOUN
esrj-101556	58	46	1	1	NUM
esrj-101556	58	47	)	)	PUNCT
esrj-101556	58	48	.	.	PUNCT
esrj-101556	59	1	the	the	DET
esrj-101556	59	2	gray	gray	ADJ
esrj-101556	59	3	gaps	gap	NOUN
esrj-101556	59	4	in	in	ADP
esrj-101556	59	5	figure	figure	NOUN
esrj-101556	59	6	1	1	NUM
esrj-101556	59	7	represent	represent	VERB
esrj-101556	59	8	borehole	borehole	NOUN
esrj-101556	59	9	sections	section	NOUN
esrj-101556	59	10	not	not	PART
esrj-101556	59	11	covered	cover	VERB
esrj-101556	59	12	with	with	ADP
esrj-101556	59	13	the	the	DET
esrj-101556	59	14	image	image	NOUN
esrj-101556	59	15	tool	tool	NOUN
esrj-101556	59	16	,	,	PUNCT
esrj-101556	59	17	as	as	SCONJ
esrj-101556	59	18	this	this	PRON
esrj-101556	59	19	is	be	AUX
esrj-101556	59	20	a	a	DET
esrj-101556	59	21	padbased	padbased	ADJ
esrj-101556	59	22	tool	tool	NOUN
esrj-101556	59	23	.	.	PUNCT
esrj-101556	60	1	a	a	DET
esrj-101556	60	2	color	color	NOUN
esrj-101556	60	3	code	code	NOUN
esrj-101556	60	4	is	be	AUX
esrj-101556	60	5	used	use	VERB
esrj-101556	60	6	to	to	PART
esrj-101556	60	7	interpret	interpret	VERB
esrj-101556	60	8	resistivity	resistivity	NOUN
esrj-101556	60	9	images	image	NOUN
esrj-101556	60	10	,	,	PUNCT
esrj-101556	60	11	where	where	SCONJ
esrj-101556	60	12	light	light	ADJ
esrj-101556	60	13	colors	color	NOUN
esrj-101556	60	14	represent	represent	VERB
esrj-101556	60	15	high	high	ADJ
esrj-101556	60	16	resistivity	resistivity	NOUN
esrj-101556	60	17	values	value	NOUN
esrj-101556	60	18	often	often	ADV
esrj-101556	60	19	related	relate	VERB
esrj-101556	60	20	to	to	ADP
esrj-101556	60	21	limestones	limestone	NOUN
esrj-101556	60	22	,	,	PUNCT
esrj-101556	60	23	oil	oil	NOUN
esrj-101556	60	24	-	-	PUNCT
esrj-101556	60	25	bearing	bear	VERB
esrj-101556	60	26	lithologies	lithology	NOUN
esrj-101556	60	27	,	,	PUNCT
esrj-101556	60	28	calcite	calcite	NOUN
esrj-101556	60	29	precipitations	precipitation	NOUN
esrj-101556	60	30	,	,	PUNCT
esrj-101556	60	31	etc	etc	X
esrj-101556	60	32	.	.	X
esrj-101556	60	33	dark	dark	ADJ
esrj-101556	60	34	colors	color	NOUN
esrj-101556	60	35	indicate	indicate	VERB
esrj-101556	60	36	low	low	ADJ
esrj-101556	60	37	resistivity	resistivity	NOUN
esrj-101556	60	38	measurements	measurement	NOUN
esrj-101556	60	39	,	,	PUNCT
esrj-101556	60	40	regularly	regularly	ADV
esrj-101556	60	41	logged	log	VERB
esrj-101556	60	42	in	in	ADP
esrj-101556	60	43	conductive	conductive	ADJ
esrj-101556	60	44	rocks	rock	NOUN
esrj-101556	60	45	,	,	PUNCT
esrj-101556	60	46	open	open	ADJ
esrj-101556	60	47	pore	pore	ADJ
esrj-101556	60	48	space	space	NOUN
esrj-101556	60	49	,	,	PUNCT
esrj-101556	60	50	borehole	borehole	NOUN
esrj-101556	60	51	breakouts	breakout	NOUN
esrj-101556	60	52	,	,	PUNCT
esrj-101556	60	53	and	and	CCONJ
esrj-101556	60	54	some	some	DET
esrj-101556	60	55	minerals	mineral	NOUN
esrj-101556	60	56	(	(	PUNCT
esrj-101556	60	57	e.g.	e.g.	ADV
esrj-101556	60	58	clays	clay	NOUN
esrj-101556	60	59	,	,	PUNCT
esrj-101556	60	60	pyrite	pyrite	NOUN
esrj-101556	60	61	,	,	PUNCT
esrj-101556	60	62	etc	etc	X
esrj-101556	60	63	.	.	X
esrj-101556	60	64	)	)	PUNCT
esrj-101556	60	65	.	.	PUNCT
esrj-101556	61	1	the	the	DET
esrj-101556	61	2	most	most	ADV
esrj-101556	61	3	common	common	ADJ
esrj-101556	61	4	geologic	geologic	ADJ
esrj-101556	61	5	events	event	NOUN
esrj-101556	61	6	observed	observe	VERB
esrj-101556	61	7	in	in	ADP
esrj-101556	61	8	image	image	NOUN
esrj-101556	61	9	logs	log	NOUN
esrj-101556	61	10	are	be	AUX
esrj-101556	61	11	well	well	ADV
esrj-101556	61	12	-	-	PUNCT
esrj-101556	61	13	defined	define	VERB
esrj-101556	61	14	planes	plane	NOUN
esrj-101556	61	15	that	that	PRON
esrj-101556	61	16	can	can	AUX
esrj-101556	61	17	be	be	AUX
esrj-101556	61	18	associated	associate	VERB
esrj-101556	61	19	with	with	ADP
esrj-101556	61	20	bed	bed	NOUN
esrj-101556	61	21	boundaries	boundary	NOUN
esrj-101556	61	22	,	,	PUNCT
esrj-101556	61	23	sedimentary	sedimentary	ADJ
esrj-101556	61	24	structures	structure	NOUN
esrj-101556	61	25	,	,	PUNCT
esrj-101556	61	26	faults	fault	NOUN
esrj-101556	61	27	,	,	PUNCT
esrj-101556	61	28	and	and	CCONJ
esrj-101556	61	29	fractures	fracture	NOUN
esrj-101556	61	30	.	.	PUNCT
esrj-101556	62	1	except	except	SCONJ
esrj-101556	62	2	for	for	ADP
esrj-101556	62	3	the	the	DET
esrj-101556	62	4	drilling	drilling	NOUN
esrj-101556	62	5	-	-	PUNCT
esrj-101556	62	6	induced	induce	VERB
esrj-101556	62	7	vertical	vertical	ADJ
esrj-101556	62	8	fractures	fracture	NOUN
esrj-101556	62	9	,	,	PUNCT
esrj-101556	62	10	the	the	DET
esrj-101556	62	11	geological	geological	ADJ
esrj-101556	62	12	planes	plane	NOUN
esrj-101556	62	13	are	be	AUX
esrj-101556	62	14	observed	observe	VERB
esrj-101556	62	15	as	as	ADP
esrj-101556	62	16	sinusoids	sinusoid	NOUN
esrj-101556	62	17	in	in	ADP
esrj-101556	62	18	image	image	NOUN
esrj-101556	62	19	logs	log	NOUN
esrj-101556	62	20	.	.	PUNCT
esrj-101556	63	1	these	these	DET
esrj-101556	63	2	sinusoids	sinusoid	NOUN
esrj-101556	63	3	are	be	AUX
esrj-101556	63	4	the	the	DET
esrj-101556	63	5	projection	projection	NOUN
esrj-101556	63	6	or	or	CCONJ
esrj-101556	63	7	trace	trace	NOUN
esrj-101556	63	8	of	of	ADP
esrj-101556	63	9	planar	planar	ADJ
esrj-101556	63	10	features	feature	NOUN
esrj-101556	63	11	in	in	ADP
esrj-101556	63	12	the	the	DET
esrj-101556	63	13	borehole	borehole	NOUN
esrj-101556	63	14	wall	wall	NOUN
esrj-101556	63	15	.	.	PUNCT
esrj-101556	64	1	the	the	DET
esrj-101556	64	2	plane	plane	NOUN
esrj-101556	64	3	inclination	inclination	NOUN
esrj-101556	64	4	(	(	PUNCT
esrj-101556	64	5	dip	dip	NOUN
esrj-101556	64	6	)	)	PUNCT
esrj-101556	64	7	can	can	AUX
esrj-101556	64	8	be	be	AUX
esrj-101556	64	9	determined	determine	VERB
esrj-101556	64	10	from	from	ADP
esrj-101556	64	11	the	the	DET
esrj-101556	64	12	sinusoid	sinusoid	ADJ
esrj-101556	64	13	amplitude	amplitude	NOUN
esrj-101556	64	14	;	;	PUNCT
esrj-101556	64	15	the	the	DET
esrj-101556	64	16	lowest	low	ADJ
esrj-101556	64	17	point	point	NOUN
esrj-101556	64	18	direction	direction	NOUN
esrj-101556	64	19	on	on	ADP
esrj-101556	64	20	the	the	DET
esrj-101556	64	21	sinusoid	sinusoid	NOUN
esrj-101556	64	22	represents	represent	VERB
esrj-101556	64	23	the	the	DET
esrj-101556	64	24	dip	dip	NOUN
esrj-101556	64	25	azimuth	azimuth	NOUN
esrj-101556	64	26	as	as	SCONJ
esrj-101556	64	27	shown	show	VERB
esrj-101556	64	28	the	the	DET
esrj-101556	64	29	figure	figure	NOUN
esrj-101556	64	30	2	2	NUM
esrj-101556	64	31	.	.	NOUN
esrj-101556	64	32	3	3	NUM
esrj-101556	64	33	.	.	X
esrj-101556	65	1	correlations	correlation	NOUN
esrj-101556	65	2	between	between	ADP
esrj-101556	65	3	resistivity	resistivity	NOUN
esrj-101556	65	4	curves	curve	NOUN
esrj-101556	65	5	–	–	PUNCT
esrj-101556	65	6	method	method	NOUN
esrj-101556	65	7	of	of	ADP
esrj-101556	65	8	mean	mean	ADJ
esrj-101556	65	9	square	square	ADJ
esrj-101556	65	10	dip	dip	NOUN
esrj-101556	65	11	(	(	PUNCT
esrj-101556	65	12	msd	msd	NOUN
esrj-101556	65	13	)	)	PUNCT
esrj-101556	65	14	a	a	DET
esrj-101556	65	15	bedding	bed	VERB
esrj-101556	65	16	plane	plane	NOUN
esrj-101556	65	17	can	can	AUX
esrj-101556	65	18	be	be	AUX
esrj-101556	65	19	identified	identify	VERB
esrj-101556	65	20	by	by	ADP
esrj-101556	65	21	correlating	correlate	VERB
esrj-101556	65	22	the	the	DET
esrj-101556	65	23	resistivity	resistivity	NOUN
esrj-101556	65	24	curves	curve	NOUN
esrj-101556	65	25	at	at	ADP
esrj-101556	65	26	known	know	VERB
esrj-101556	65	27	positions	position	NOUN
esrj-101556	65	28	of	of	ADP
esrj-101556	65	29	the	the	DET
esrj-101556	65	30	tool	tool	NOUN
esrj-101556	65	31	pads	pad	NOUN
esrj-101556	65	32	.	.	PUNCT
esrj-101556	66	1	the	the	DET
esrj-101556	66	2	borehole	borehole	NOUN
esrj-101556	66	3	in	in	ADP
esrj-101556	66	4	figure	figure	NOUN
esrj-101556	66	5	3	3	NUM
esrj-101556	66	6	shows	show	VERB
esrj-101556	66	7	an	an	DET
esrj-101556	66	8	example	example	NOUN
esrj-101556	66	9	of	of	ADP
esrj-101556	66	10	intersection	intersection	NOUN
esrj-101556	66	11	by	by	ADP
esrj-101556	66	12	a	a	DET
esrj-101556	66	13	dipping	dip	VERB
esrj-101556	66	14	plane	plane	NOUN
esrj-101556	66	15	;	;	PUNCT
esrj-101556	66	16	the	the	DET
esrj-101556	66	17	plane	plane	NOUN
esrj-101556	66	18	has	have	VERB
esrj-101556	66	19	a	a	DET
esrj-101556	66	20	different	different	ADJ
esrj-101556	66	21	resistivity	resistivity	NOUN
esrj-101556	66	22	with	with	ADP
esrj-101556	66	23	respect	respect	NOUN
esrj-101556	66	24	to	to	ADP
esrj-101556	66	25	the	the	DET
esrj-101556	66	26	formations	formation	NOUN
esrj-101556	66	27	above	above	ADV
esrj-101556	66	28	and	and	CCONJ
esrj-101556	66	29	below	below	ADV
esrj-101556	66	30	.	.	PUNCT
esrj-101556	67	1	the	the	DET
esrj-101556	67	2	four	four	NUM
esrj-101556	67	3	pads	pad	NOUN
esrj-101556	67	4	in	in	ADP
esrj-101556	67	5	the	the	DET
esrj-101556	67	6	example	example	NOUN
esrj-101556	67	7	continuously	continuously	ADV
esrj-101556	67	8	record	record	VERB
esrj-101556	67	9	a	a	DET
esrj-101556	67	10	resistivity	resistivity	NOUN
esrj-101556	67	11	or	or	CCONJ
esrj-101556	67	12	dip	dip	NOUN
esrj-101556	67	13	curve	curve	NOUN
esrj-101556	67	14	as	as	SCONJ
esrj-101556	67	15	the	the	DET
esrj-101556	67	16	tool	tool	NOUN
esrj-101556	67	17	is	be	AUX
esrj-101556	67	18	pulled	pull	VERB
esrj-101556	67	19	up	up	ADP
esrj-101556	67	20	the	the	DET
esrj-101556	67	21	borehole	borehole	NOUN
esrj-101556	67	22	.	.	PUNCT
esrj-101556	68	1	as	as	SCONJ
esrj-101556	68	2	each	each	DET
esrj-101556	68	3	pad	pad	NOUN
esrj-101556	68	4	passes	pass	VERB
esrj-101556	68	5	the	the	DET
esrj-101556	68	6	intersection	intersection	NOUN
esrj-101556	68	7	of	of	ADP
esrj-101556	68	8	the	the	DET
esrj-101556	68	9	plane	plane	NOUN
esrj-101556	68	10	with	with	ADP
esrj-101556	68	11	the	the	DET
esrj-101556	68	12	borehole	borehole	NOUN
esrj-101556	68	13	wall	wall	NOUN
esrj-101556	68	14	,	,	PUNCT
esrj-101556	68	15	the	the	DET
esrj-101556	68	16	corresponding	correspond	VERB
esrj-101556	68	17	dip	dip	NOUN
esrj-101556	68	18	curve	curve	NOUN
esrj-101556	68	19	shows	show	VERB
esrj-101556	68	20	a	a	DET
esrj-101556	68	21	change	change	NOUN
esrj-101556	68	22	of	of	ADP
esrj-101556	68	23	resistivity	resistivity	NOUN
esrj-101556	68	24	.	.	PUNCT
esrj-101556	69	1	the	the	DET
esrj-101556	69	2	dip	dip	NOUN
esrj-101556	69	3	or	or	CCONJ
esrj-101556	69	4	slope	slope	NOUN
esrj-101556	69	5	of	of	ADP
esrj-101556	69	6	the	the	DET
esrj-101556	69	7	plane	plane	NOUN
esrj-101556	69	8	causes	cause	VERB
esrj-101556	69	9	the	the	DET
esrj-101556	69	10	pads	pad	NOUN
esrj-101556	69	11	to	to	PART
esrj-101556	69	12	encounter	encounter	VERB
esrj-101556	69	13	and	and	CCONJ
esrj-101556	69	14	record	record	VERB
esrj-101556	69	15	the	the	DET
esrj-101556	69	16	change	change	NOUN
esrj-101556	69	17	in	in	ADP
esrj-101556	69	18	resistivity	resistivity	NOUN
esrj-101556	69	19	at	at	ADP
esrj-101556	69	20	different	different	ADJ
esrj-101556	69	21	depths	depth	NOUN
esrj-101556	69	22	on	on	ADP
esrj-101556	69	23	the	the	DET
esrj-101556	69	24	log	log	NOUN
esrj-101556	69	25	.	.	PUNCT
esrj-101556	70	1	the	the	DET
esrj-101556	70	2	difference	difference	NOUN
esrj-101556	70	3	in	in	ADP
esrj-101556	70	4	depth	depth	NOUN
esrj-101556	70	5	or	or	CCONJ
esrj-101556	70	6	shift	shift	NOUN
esrj-101556	70	7	of	of	ADP
esrj-101556	70	8	the	the	DET
esrj-101556	70	9	corresponding	correspond	VERB
esrj-101556	70	10	peaks	peak	NOUN
esrj-101556	70	11	on	on	ADP
esrj-101556	70	12	the	the	DET
esrj-101556	70	13	curve	curve	NOUN
esrj-101556	70	14	allow	allow	VERB
esrj-101556	70	15	the	the	DET
esrj-101556	70	16	dip	dip	NOUN
esrj-101556	70	17	of	of	ADP
esrj-101556	70	18	the	the	DET
esrj-101556	70	19	geologic	geologic	ADJ
esrj-101556	70	20	plane	plane	NOUN
esrj-101556	70	21	to	to	PART
esrj-101556	70	22	be	be	AUX
esrj-101556	70	23	calculated	calculate	VERB
esrj-101556	70	24	trigonometrically	trigonometrically	ADV
esrj-101556	70	25	(	(	PUNCT
esrj-101556	70	26	grace	grace	NOUN
esrj-101556	70	27	,	,	PUNCT
esrj-101556	70	28	et	et	PROPN
esrj-101556	70	29	al	al	PROPN
esrj-101556	70	30	.	.	PROPN
esrj-101556	70	31	,	,	PUNCT
esrj-101556	70	32	2000	2000	NUM
esrj-101556	70	33	)	)	PUNCT
esrj-101556	70	34	.	.	PUNCT
esrj-101556	71	1	the	the	DET
esrj-101556	71	2	msd	msd	NOUN
esrj-101556	71	3	method	method	NOUN
esrj-101556	71	4	works	work	VERB
esrj-101556	71	5	on	on	ADP
esrj-101556	71	6	the	the	DET
esrj-101556	71	7	basis	basis	NOUN
esrj-101556	71	8	of	of	ADP
esrj-101556	71	9	an	an	DET
esrj-101556	71	10	interval	interval	NOUN
esrj-101556	71	11	correlation	correlation	NOUN
esrj-101556	71	12	algorithm	algorithm	NOUN
esrj-101556	71	13	between	between	ADP
esrj-101556	71	14	selected	select	VERB
esrj-101556	71	15	pairs	pair	NOUN
esrj-101556	71	16	of	of	ADP
esrj-101556	71	17	sensors	sensor	NOUN
esrj-101556	71	18	to	to	PART
esrj-101556	71	19	compute	compute	VERB
esrj-101556	71	20	displacement	displacement	ADJ
esrj-101556	71	21	vectors	vector	NOUN
esrj-101556	71	22	that	that	PRON
esrj-101556	71	23	should	should	AUX
esrj-101556	71	24	all	all	PRON
esrj-101556	71	25	lie	lie	VERB
esrj-101556	71	26	in	in	ADP
esrj-101556	71	27	the	the	DET
esrj-101556	71	28	same	same	ADJ
esrj-101556	71	29	dip	dip	NOUN
esrj-101556	71	30	plane	plane	NOUN
esrj-101556	71	31	.	.	PUNCT
esrj-101556	72	1	the	the	DET
esrj-101556	72	2	msd	msd	NOUN
esrj-101556	72	3	method	method	NOUN
esrj-101556	72	4	considers	consider	VERB
esrj-101556	72	5	the	the	DET
esrj-101556	72	6	same	same	ADJ
esrj-101556	72	7	depth	depth	NOUN
esrj-101556	72	8	interval	interval	NOUN
esrj-101556	72	9	on	on	ADP
esrj-101556	72	10	each	each	DET
esrj-101556	72	11	curve	curve	NOUN
esrj-101556	72	12	and	and	CCONJ
esrj-101556	72	13	uses	use	VERB
esrj-101556	72	14	only	only	ADV
esrj-101556	72	15	the	the	DET
esrj-101556	72	16	data	datum	NOUN
esrj-101556	72	17	within	within	ADP
esrj-101556	72	18	that	that	DET
esrj-101556	72	19	interval	interval	NOUN
esrj-101556	72	20	to	to	PART
esrj-101556	72	21	make	make	VERB
esrj-101556	72	22	correlations	correlation	NOUN
esrj-101556	72	23	.	.	PUNCT
esrj-101556	73	1	in	in	ADP
esrj-101556	73	2	the	the	DET
esrj-101556	73	3	case	case	NOUN
esrj-101556	73	4	of	of	ADP
esrj-101556	73	5	low	low	ADJ
esrj-101556	73	6	apparent	apparent	ADJ
esrj-101556	73	7	dip	dip	NOUN
esrj-101556	73	8	it	it	PRON
esrj-101556	73	9	can	can	AUX
esrj-101556	73	10	be	be	AUX
esrj-101556	73	11	seen	see	VERB
esrj-101556	73	12	that	that	SCONJ
esrj-101556	73	13	nearly	nearly	ADV
esrj-101556	73	14	all	all	DET
esrj-101556	73	15	the	the	DET
esrj-101556	73	16	data	data	NOUN
esrj-101556	73	17	points	point	NOUN
esrj-101556	73	18	within	within	ADP
esrj-101556	73	19	the	the	DET
esrj-101556	73	20	interval	interval	NOUN
esrj-101556	73	21	are	be	AUX
esrj-101556	73	22	considered	consider	VERB
esrj-101556	73	23	when	when	SCONJ
esrj-101556	73	24	the	the	DET
esrj-101556	73	25	correlation	correlation	NOUN
esrj-101556	73	26	is	be	AUX
esrj-101556	73	27	made	make	VERB
esrj-101556	73	28	.	.	PUNCT
esrj-101556	74	1	as	as	SCONJ
esrj-101556	74	2	the	the	DET
esrj-101556	74	3	apparent	apparent	ADJ
esrj-101556	74	4	dip	dip	NOUN
esrj-101556	74	5	increases	increase	NOUN
esrj-101556	74	6	,	,	PUNCT
esrj-101556	74	7	less	less	ADJ
esrj-101556	74	8	and	and	CCONJ
esrj-101556	74	9	less	less	ADJ
esrj-101556	74	10	points	point	NOUN
esrj-101556	74	11	enter	enter	VERB
esrj-101556	74	12	into	into	ADP
esrj-101556	74	13	the	the	DET
esrj-101556	74	14	correlation	correlation	NOUN
esrj-101556	74	15	.	.	PUNCT
esrj-101556	75	1	in	in	ADP
esrj-101556	75	2	areas	area	NOUN
esrj-101556	75	3	where	where	SCONJ
esrj-101556	75	4	high	high	ADJ
esrj-101556	75	5	dips	dip	NOUN
esrj-101556	75	6	,	,	PUNCT
esrj-101556	75	7	or	or	CCONJ
esrj-101556	75	8	high	high	ADJ
esrj-101556	75	9	apparent	apparent	ADJ
esrj-101556	75	10	dips	dip	NOUN
esrj-101556	75	11	because	because	SCONJ
esrj-101556	75	12	of	of	ADP
esrj-101556	75	13	deviated	deviate	VERB
esrj-101556	75	14	borehole	borehole	NOUN
esrj-101556	75	15	conditions	condition	NOUN
esrj-101556	75	16	are	be	AUX
esrj-101556	75	17	expected	expect	VERB
esrj-101556	75	18	,	,	PUNCT
esrj-101556	75	19	an	an	DET
esrj-101556	75	20	initial	initial	ADJ
esrj-101556	75	21	displacement	displacement	NOUN
esrj-101556	75	22	,	,	PUNCT
esrj-101556	75	23	i.e.	i.e.	X
esrj-101556	75	24	,	,	PUNCT
esrj-101556	75	25	a	a	DET
esrj-101556	75	26	focusing	focus	VERB
esrj-101556	75	27	plan	plan	NOUN
esrj-101556	75	28	,	,	PUNCT
esrj-101556	75	29	can	can	AUX
esrj-101556	75	30	be	be	AUX
esrj-101556	75	31	defined	define	VERB
esrj-101556	75	32	by	by	ADP
esrj-101556	75	33	the	the	DET
esrj-101556	75	34	interpreter	interpreter	NOUN
esrj-101556	75	35	.	.	PUNCT
esrj-101556	76	1	this	this	DET
esrj-101556	76	2	focusing	focus	VERB
esrj-101556	76	3	plane	plane	NOUN
esrj-101556	76	4	can	can	AUX
esrj-101556	76	5	be	be	AUX
esrj-101556	76	6	chosen	choose	VERB
esrj-101556	76	7	as	as	ADP
esrj-101556	76	8	either	either	CCONJ
esrj-101556	76	9	a	a	DET
esrj-101556	76	10	fixed	fix	VERB
esrj-101556	76	11	plane	plane	NOUN
esrj-101556	76	12	with	with	ADP
esrj-101556	76	13	orientation	orientation	NOUN
esrj-101556	76	14	defined	define	VERB
esrj-101556	76	15	by	by	ADP
esrj-101556	76	16	the	the	DET
esrj-101556	76	17	analyst	analyst	NOUN
esrj-101556	76	18	or	or	CCONJ
esrj-101556	76	19	a	a	DET
esrj-101556	76	20	plane	plane	NOUN
esrj-101556	76	21	defined	define	VERB
esrj-101556	76	22	from	from	ADP
esrj-101556	76	23	a	a	DET
esrj-101556	76	24	previous	previous	ADJ
esrj-101556	76	25	dip	dip	NOUN
esrj-101556	76	26	calculation	calculation	NOUN
esrj-101556	76	27	.	.	PUNCT
esrj-101556	77	1	the	the	DET
esrj-101556	77	2	button	button	NOUN
esrj-101556	77	3	-	-	PUNCT
esrj-101556	77	4	to	to	ADP
esrj-101556	77	5	-	-	PUNCT
esrj-101556	77	6	button	button	NOUN
esrj-101556	77	7	displacements	displacement	NOUN
esrj-101556	77	8	are	be	AUX
esrj-101556	77	9	computed	compute	VERB
esrj-101556	77	10	and	and	CCONJ
esrj-101556	77	11	the	the	DET
esrj-101556	77	12	bestfit	bestfit	NOUN
esrj-101556	77	13	plane	plane	NOUN
esrj-101556	77	14	through	through	ADP
esrj-101556	77	15	them	they	PRON
esrj-101556	77	16	is	be	AUX
esrj-101556	77	17	found	find	VERB
esrj-101556	77	18	(	(	PUNCT
esrj-101556	77	19	grace	grace	NOUN
esrj-101556	77	20	,	,	PUNCT
esrj-101556	77	21	et	et	PROPN
esrj-101556	77	22	al	al	PROPN
esrj-101556	77	23	.	.	PROPN
esrj-101556	77	24	,	,	PUNCT
esrj-101556	77	25	2000	2000	NUM
esrj-101556	77	26	)	)	PUNCT
esrj-101556	77	27	.	.	PUNCT
esrj-101556	78	1	4	4	X
esrj-101556	78	2	.	.	X
esrj-101556	78	3	computer	computer	NOUN
esrj-101556	78	4	vision	vision	NOUN
esrj-101556	78	5	techniques	technique	NOUN
esrj-101556	78	6	computer	computer	NOUN
esrj-101556	78	7	vision	vision	NOUN
esrj-101556	78	8	can	can	AUX
esrj-101556	78	9	be	be	AUX
esrj-101556	78	10	defined	define	VERB
esrj-101556	78	11	as	as	ADP
esrj-101556	78	12	a	a	DET
esrj-101556	78	13	scientific	scientific	ADJ
esrj-101556	78	14	field	field	NOUN
esrj-101556	78	15	that	that	PRON
esrj-101556	78	16	extracts	extract	VERB
esrj-101556	78	17	information	information	NOUN
esrj-101556	78	18	out	out	ADP
esrj-101556	78	19	of	of	ADP
esrj-101556	78	20	digital	digital	ADJ
esrj-101556	78	21	images	image	NOUN
esrj-101556	78	22	.	.	PUNCT
esrj-101556	79	1	the	the	DET
esrj-101556	79	2	type	type	NOUN
esrj-101556	79	3	of	of	ADP
esrj-101556	79	4	information	information	NOUN
esrj-101556	79	5	gained	gain	VERB
esrj-101556	79	6	from	from	ADP
esrj-101556	79	7	an	an	DET
esrj-101556	79	8	image	image	NOUN
esrj-101556	79	9	can	can	AUX
esrj-101556	79	10	vary	vary	VERB
esrj-101556	79	11	from	from	ADP
esrj-101556	79	12	identification	identification	NOUN
esrj-101556	79	13	,	,	PUNCT
esrj-101556	79	14	space	space	NOUN
esrj-101556	79	15	measurements	measurement	NOUN
esrj-101556	79	16	for	for	ADP
esrj-101556	79	17	navigation	navigation	NOUN
esrj-101556	79	18	,	,	PUNCT
esrj-101556	79	19	or	or	CCONJ
esrj-101556	79	20	augmented	augment	VERB
esrj-101556	79	21	reality	reality	NOUN
esrj-101556	79	22	applications	application	NOUN
esrj-101556	79	23	(	(	PUNCT
esrj-101556	79	24	ranjay	ranjay	VERB
esrj-101556	79	25	,	,	PUNCT
esrj-101556	79	26	2017	2017	NUM
esrj-101556	79	27	)	)	PUNCT
esrj-101556	79	28	.	.	PUNCT
esrj-101556	80	1	another	another	DET
esrj-101556	80	2	way	way	NOUN
esrj-101556	80	3	of	of	ADP
esrj-101556	80	4	defining	define	VERB
esrj-101556	80	5	computer	computer	NOUN
esrj-101556	80	6	vision	vision	NOUN
esrj-101556	80	7	is	be	AUX
esrj-101556	80	8	through	through	ADP
esrj-101556	80	9	its	its	PRON
esrj-101556	80	10	application	application	NOUN
esrj-101556	80	11	;	;	PUNCT
esrj-101556	80	12	computer	computer	NOUN
esrj-101556	80	13	vision	vision	NOUN
esrj-101556	80	14	is	be	AUX
esrj-101556	80	15	about	about	ADP
esrj-101556	80	16	building	build	VERB
esrj-101556	80	17	algorithms	algorithm	NOUN
esrj-101556	80	18	to	to	PART
esrj-101556	80	19	understand	understand	VERB
esrj-101556	80	20	the	the	DET
esrj-101556	80	21	content	content	NOUN
esrj-101556	80	22	of	of	ADP
esrj-101556	80	23	images	image	NOUN
esrj-101556	80	24	enabling	enable	VERB
esrj-101556	80	25	computers	computer	NOUN
esrj-101556	80	26	to	to	PART
esrj-101556	80	27	see	see	VERB
esrj-101556	80	28	,	,	PUNCT
esrj-101556	80	29	identify	identify	VERB
esrj-101556	80	30	and	and	CCONJ
esrj-101556	80	31	process	process	VERB
esrj-101556	80	32	images	image	NOUN
esrj-101556	80	33	in	in	ADP
esrj-101556	80	34	the	the	DET
esrj-101556	80	35	same	same	ADJ
esrj-101556	80	36	way	way	NOUN
esrj-101556	80	37	that	that	PRON
esrj-101556	80	38	human	human	ADJ
esrj-101556	80	39	vision	vision	NOUN
esrj-101556	80	40	does	do	VERB
esrj-101556	80	41	.	.	PUNCT
esrj-101556	81	1	the	the	DET
esrj-101556	81	2	diagram	diagram	NOUN
esrj-101556	81	3	in	in	ADP
esrj-101556	81	4	figure	figure	NOUN
esrj-101556	81	5	4	4	NUM
esrj-101556	81	6	summarizes	summarize	NOUN
esrj-101556	81	7	the	the	DET
esrj-101556	81	8	sequence	sequence	NOUN
esrj-101556	81	9	of	of	ADP
esrj-101556	81	10	computer	computer	NOUN
esrj-101556	81	11	vision	vision	NOUN
esrj-101556	81	12	techniques	technique	NOUN
esrj-101556	81	13	employed	employ	VERB
esrj-101556	81	14	along	along	ADP
esrj-101556	81	15	figure	figure	NOUN
esrj-101556	81	16	2	2	NUM
esrj-101556	81	17	.	.	PUNCT
esrj-101556	81	18	trace	trace	NOUN
esrj-101556	81	19	of	of	ADP
esrj-101556	81	20	planar	planar	ADJ
esrj-101556	81	21	feature	feature	NOUN
esrj-101556	81	22	as	as	ADP
esrj-101556	81	23	sinusoid	sinusoid	NOUN
esrj-101556	81	24	in	in	ADP
esrj-101556	81	25	borehole	borehole	NOUN
esrj-101556	81	26	image	image	NOUN
esrj-101556	81	27	(	(	PUNCT
esrj-101556	81	28	modified	modify	VERB
esrj-101556	81	29	from	from	ADP
esrj-101556	81	30	grace	grace	NOUN
esrj-101556	81	31	,	,	PUNCT
esrj-101556	81	32	et	et	PROPN
esrj-101556	81	33	al	al	PROPN
esrj-101556	81	34	.	.	PROPN
esrj-101556	81	35	,	,	PUNCT
esrj-101556	81	36	2000	2000	NUM
esrj-101556	81	37	)	)	PUNCT
esrj-101556	81	38	.	.	PUNCT
esrj-101556	82	1	142	142	NUM
esrj-101556	82	2	jorge	jorge	PROPN
esrj-101556	82	3	alberto	alberto	PROPN
esrj-101556	82	4	leal	leal	PROPN
esrj-101556	82	5	freitez	freitez	PROPN
esrj-101556	82	6	,	,	PUNCT
esrj-101556	82	7	luis	luis	PROPN
esrj-101556	82	8	hernán	hernán	PROPN
esrj-101556	82	9	ochoa	ochoa	PROPN
esrj-101556	82	10	gutiérrez	gutiérrez	PROPN
esrj-101556	82	11	,	,	PUNCT
esrj-101556	82	12	sergio	sergio	PROPN
esrj-101556	82	13	francisco	francisco	PROPN
esrj-101556	82	14	acosta	acosta	PROPN
esrj-101556	82	15	lenis	lenis	PROPN
esrj-101556	82	16	each	each	PRON
esrj-101556	82	17	analyzed	analyze	VERB
esrj-101556	82	18	well	well	ADV
esrj-101556	82	19	;	;	PUNCT
esrj-101556	82	20	the	the	DET
esrj-101556	82	21	process	process	NOUN
esrj-101556	82	22	begins	begin	VERB
esrj-101556	82	23	with	with	ADP
esrj-101556	82	24	the	the	DET
esrj-101556	82	25	dynamic	dynamic	ADJ
esrj-101556	82	26	image	image	NOUN
esrj-101556	82	27	as	as	ADP
esrj-101556	82	28	input	input	NOUN
esrj-101556	82	29	and	and	CCONJ
esrj-101556	82	30	ends	end	VERB
esrj-101556	82	31	with	with	ADP
esrj-101556	82	32	the	the	DET
esrj-101556	82	33	same	same	ADJ
esrj-101556	82	34	image	image	NOUN
esrj-101556	82	35	with	with	ADP
esrj-101556	82	36	all	all	DET
esrj-101556	82	37	detected	detect	VERB
esrj-101556	82	38	sinusoids	sinusoid	NOUN
esrj-101556	82	39	.	.	PUNCT
esrj-101556	83	1	4.1	4.1	NUM
esrj-101556	83	2	stage	stage	NOUN
esrj-101556	83	3	1	1	NUM
esrj-101556	83	4	inpainting	inpainte	VERB
esrj-101556	83	5	the	the	DET
esrj-101556	83	6	process	process	NOUN
esrj-101556	83	7	starts	start	VERB
esrj-101556	83	8	with	with	ADP
esrj-101556	83	9	an	an	DET
esrj-101556	83	10	rgb	rgb	PROPN
esrj-101556	83	11	color	color	NOUN
esrj-101556	83	12	image	image	NOUN
esrj-101556	83	13	from	from	ADP
esrj-101556	83	14	the	the	DET
esrj-101556	83	15	dynamic	dynamic	ADJ
esrj-101556	83	16	normalization	normalization	NOUN
esrj-101556	83	17	in	in	ADP
esrj-101556	83	18	scale	scale	NOUN
esrj-101556	83	19	of	of	ADP
esrj-101556	83	20	1:10	1:10	NUM
esrj-101556	83	21	,	,	PUNCT
esrj-101556	83	22	with	with	ADP
esrj-101556	83	23	dimension	dimension	NOUN
esrj-101556	83	24	of	of	ADP
esrj-101556	83	25	300	300	NUM
esrj-101556	83	26	pixels	pixel	NOUN
esrj-101556	83	27	long	long	ADV
esrj-101556	83	28	by	by	ADP
esrj-101556	83	29	360	360	NUM
esrj-101556	83	30	pixels	pixel	NOUN
esrj-101556	83	31	wide	wide	ADJ
esrj-101556	83	32	(	(	PUNCT
esrj-101556	83	33	figure	figure	NOUN
esrj-101556	83	34	5a	5a	NUM
esrj-101556	83	35	)	)	PUNCT
esrj-101556	83	36	;	;	PUNCT
esrj-101556	83	37	this	this	DET
esrj-101556	83	38	image	image	NOUN
esrj-101556	83	39	is	be	AUX
esrj-101556	83	40	converted	convert	VERB
esrj-101556	83	41	into	into	ADP
esrj-101556	83	42	a	a	DET
esrj-101556	83	43	grayscale	grayscale	NOUN
esrj-101556	83	44	image	image	NOUN
esrj-101556	83	45	,	,	PUNCT
esrj-101556	83	46	in	in	ADP
esrj-101556	83	47	which	which	PRON
esrj-101556	83	48	each	each	DET
esrj-101556	83	49	pixel	pixel	NOUN
esrj-101556	83	50	represents	represent	VERB
esrj-101556	83	51	a	a	DET
esrj-101556	83	52	single	single	ADJ
esrj-101556	83	53	value	value	NOUN
esrj-101556	83	54	with	with	ADP
esrj-101556	83	55	intensity	intensity	NOUN
esrj-101556	83	56	information	information	NOUN
esrj-101556	83	57	(	(	PUNCT
esrj-101556	83	58	figure	figure	NOUN
esrj-101556	83	59	5b	5b	NUM
esrj-101556	83	60	)	)	PUNCT
esrj-101556	83	61	.	.	PUNCT
esrj-101556	84	1	subsequently	subsequently	ADV
esrj-101556	84	2	,	,	PUNCT
esrj-101556	84	3	an	an	DET
esrj-101556	84	4	inpainting	inpainting	ADJ
esrj-101556	84	5	technique	technique	NOUN
esrj-101556	84	6	based	base	VERB
esrj-101556	84	7	on	on	ADP
esrj-101556	84	8	a	a	DET
esrj-101556	84	9	fast	fast	ADJ
esrj-101556	84	10	marching	marching	NOUN
esrj-101556	84	11	method	method	NOUN
esrj-101556	84	12	is	be	AUX
esrj-101556	84	13	applied	apply	VERB
esrj-101556	84	14	.	.	PUNCT
esrj-101556	85	1	digital	digital	ADJ
esrj-101556	85	2	inpainting	inpainte	VERB
esrj-101556	85	3	provides	provide	VERB
esrj-101556	85	4	a	a	DET
esrj-101556	85	5	means	mean	NOUN
esrj-101556	85	6	for	for	ADP
esrj-101556	85	7	reconstruction	reconstruction	NOUN
esrj-101556	85	8	of	of	ADP
esrj-101556	85	9	small	small	ADJ
esrj-101556	85	10	damaged	damage	VERB
esrj-101556	85	11	portions	portion	NOUN
esrj-101556	85	12	in	in	ADP
esrj-101556	85	13	images	image	NOUN
esrj-101556	85	14	;	;	PUNCT
esrj-101556	85	15	this	this	DET
esrj-101556	85	16	procedure	procedure	NOUN
esrj-101556	85	17	starts	start	VERB
esrj-101556	85	18	from	from	ADP
esrj-101556	85	19	the	the	DET
esrj-101556	85	20	boundary	boundary	NOUN
esrj-101556	85	21	of	of	ADP
esrj-101556	85	22	the	the	DET
esrj-101556	85	23	region	region	NOUN
esrj-101556	85	24	to	to	PART
esrj-101556	85	25	be	be	AUX
esrj-101556	85	26	inpainted	inpainte	VERB
esrj-101556	85	27	and	and	CCONJ
esrj-101556	85	28	moves	move	NOUN
esrj-101556	85	29	towards	towards	ADP
esrj-101556	85	30	the	the	DET
esrj-101556	85	31	damaged	damage	VERB
esrj-101556	85	32	section	section	NOUN
esrj-101556	85	33	,	,	PUNCT
esrj-101556	85	34	gradually	gradually	ADV
esrj-101556	85	35	filling	fill	VERB
esrj-101556	85	36	everything	everything	PRON
esrj-101556	85	37	in	in	ADP
esrj-101556	85	38	the	the	DET
esrj-101556	85	39	boundary	boundary	ADJ
esrj-101556	85	40	first	first	ADV
esrj-101556	85	41	.	.	PUNCT
esrj-101556	86	1	each	each	DET
esrj-101556	86	2	pixel	pixel	PROPN
esrj-101556	86	3	is	be	AUX
esrj-101556	86	4	replaced	replace	VERB
esrj-101556	86	5	by	by	ADP
esrj-101556	86	6	a	a	DET
esrj-101556	86	7	normalized	normalize	VERB
esrj-101556	86	8	weighted	weight	VERB
esrj-101556	86	9	sum	sum	NOUN
esrj-101556	86	10	of	of	ADP
esrj-101556	86	11	all	all	DET
esrj-101556	86	12	the	the	DET
esrj-101556	86	13	known	know	VERB
esrj-101556	86	14	pixels	pixel	NOUN
esrj-101556	86	15	in	in	ADP
esrj-101556	86	16	its	its	PRON
esrj-101556	86	17	neighborhood	neighborhood	NOUN
esrj-101556	86	18	.	.	PUNCT
esrj-101556	87	1	more	more	ADJ
esrj-101556	87	2	weight	weight	NOUN
esrj-101556	87	3	is	be	AUX
esrj-101556	87	4	given	give	VERB
esrj-101556	87	5	to	to	ADP
esrj-101556	87	6	those	those	DET
esrj-101556	87	7	pixels	pixel	NOUN
esrj-101556	87	8	lying	lie	VERB
esrj-101556	87	9	near	near	ADP
esrj-101556	87	10	the	the	DET
esrj-101556	87	11	boundary	boundary	NOUN
esrj-101556	87	12	of	of	ADP
esrj-101556	87	13	the	the	DET
esrj-101556	87	14	missing	miss	VERB
esrj-101556	87	15	parts	part	NOUN
esrj-101556	87	16	,	,	PUNCT
esrj-101556	87	17	such	such	ADJ
esrj-101556	87	18	as	as	ADP
esrj-101556	87	19	those	those	PRON
esrj-101556	87	20	near	near	ADP
esrj-101556	87	21	contours	contours	NOUN
esrj-101556	87	22	(	(	PUNCT
esrj-101556	87	23	telea	telea	ADJ
esrj-101556	87	24	,	,	PUNCT
esrj-101556	87	25	2004	2004	NUM
esrj-101556	87	26	)	)	PUNCT
esrj-101556	87	27	.	.	PUNCT
esrj-101556	88	1	once	once	SCONJ
esrj-101556	88	2	a	a	DET
esrj-101556	88	3	pixel	pixel	NOUN
esrj-101556	88	4	is	be	AUX
esrj-101556	88	5	inpainted	inpainte	VERB
esrj-101556	88	6	,	,	PUNCT
esrj-101556	88	7	it	it	PRON
esrj-101556	88	8	moves	move	VERB
esrj-101556	88	9	to	to	ADP
esrj-101556	88	10	the	the	DET
esrj-101556	88	11	next	next	ADJ
esrj-101556	88	12	nearest	near	ADJ
esrj-101556	88	13	pixel	pixel	NOUN
esrj-101556	88	14	using	use	VERB
esrj-101556	88	15	the	the	DET
esrj-101556	88	16	fast	fast	ADJ
esrj-101556	88	17	marching	marching	NOUN
esrj-101556	88	18	method	method	NOUN
esrj-101556	88	19	,	,	PUNCT
esrj-101556	88	20	which	which	PRON
esrj-101556	88	21	ensures	ensure	VERB
esrj-101556	88	22	those	those	DET
esrj-101556	88	23	pixels	pixel	NOUN
esrj-101556	88	24	nearest	near	ADV
esrj-101556	88	25	to	to	ADP
esrj-101556	88	26	the	the	DET
esrj-101556	88	27	known	know	VERB
esrj-101556	88	28	pixels	pixel	NOUN
esrj-101556	88	29	are	be	AUX
esrj-101556	88	30	inpainted	inpainte	VERB
esrj-101556	88	31	first	first	ADV
esrj-101556	88	32	(	(	PUNCT
esrj-101556	88	33	khan	khan	PROPN
esrj-101556	88	34	,	,	PUNCT
esrj-101556	88	35	2019	2019	NUM
esrj-101556	88	36	)	)	PUNCT
esrj-101556	88	37	.	.	PUNCT
esrj-101556	89	1	digital	digital	ADJ
esrj-101556	89	2	inpainting	inpainte	VERB
esrj-101556	89	3	in	in	ADP
esrj-101556	89	4	this	this	DET
esrj-101556	89	5	work	work	NOUN
esrj-101556	89	6	was	be	AUX
esrj-101556	89	7	employed	employ	VERB
esrj-101556	89	8	to	to	PART
esrj-101556	89	9	reconstruct	reconstruct	VERB
esrj-101556	89	10	the	the	DET
esrj-101556	89	11	images	image	NOUN
esrj-101556	89	12	in	in	ADP
esrj-101556	89	13	those	those	DET
esrj-101556	89	14	sections	section	NOUN
esrj-101556	89	15	not	not	PART
esrj-101556	89	16	covered	cover	VERB
esrj-101556	89	17	by	by	ADP
esrj-101556	89	18	the	the	DET
esrj-101556	89	19	image	image	NOUN
esrj-101556	89	20	tool	tool	NOUN
esrj-101556	89	21	.	.	PUNCT
esrj-101556	90	1	it	it	PRON
esrj-101556	90	2	is	be	AUX
esrj-101556	90	3	important	important	ADJ
esrj-101556	90	4	to	to	PART
esrj-101556	90	5	notice	notice	VERB
esrj-101556	90	6	that	that	SCONJ
esrj-101556	90	7	inpainting	inpainte	VERB
esrj-101556	90	8	processing	processing	NOUN
esrj-101556	90	9	in	in	ADP
esrj-101556	90	10	this	this	DET
esrj-101556	90	11	research	research	NOUN
esrj-101556	90	12	is	be	AUX
esrj-101556	90	13	not	not	PART
esrj-101556	90	14	pursuing	pursue	VERB
esrj-101556	90	15	an	an	DET
esrj-101556	90	16	exact	exact	ADJ
esrj-101556	90	17	360	360	NUM
esrj-101556	90	18	°	°	ADJ
esrj-101556	90	19	view	view	NOUN
esrj-101556	90	20	of	of	ADP
esrj-101556	90	21	the	the	DET
esrj-101556	90	22	borehole	borehole	NOUN
esrj-101556	90	23	wall	wall	NOUN
esrj-101556	90	24	;	;	PUNCT
esrj-101556	90	25	instead	instead	ADV
esrj-101556	90	26	,	,	PUNCT
esrj-101556	90	27	this	this	DET
esrj-101556	90	28	processing	processing	NOUN
esrj-101556	90	29	is	be	AUX
esrj-101556	90	30	applied	apply	VERB
esrj-101556	90	31	to	to	PART
esrj-101556	90	32	guide	guide	VERB
esrj-101556	90	33	the	the	DET
esrj-101556	90	34	following	follow	VERB
esrj-101556	90	35	steps	step	NOUN
esrj-101556	90	36	related	relate	VERB
esrj-101556	90	37	to	to	ADP
esrj-101556	90	38	edge	edge	NOUN
esrj-101556	90	39	map	map	NOUN
esrj-101556	90	40	generation	generation	NOUN
esrj-101556	90	41	.	.	PUNCT
esrj-101556	91	1	although	although	SCONJ
esrj-101556	91	2	figure	figure	NOUN
esrj-101556	91	3	5c	5c	NOUN
esrj-101556	91	4	shows	show	VERB
esrj-101556	91	5	some	some	DET
esrj-101556	91	6	artifacts	artifact	NOUN
esrj-101556	91	7	added	add	VERB
esrj-101556	91	8	by	by	ADP
esrj-101556	91	9	inpainting	inpainte	VERB
esrj-101556	91	10	procedures	procedure	NOUN
esrj-101556	91	11	,	,	PUNCT
esrj-101556	91	12	experimental	experimental	ADJ
esrj-101556	91	13	iterations	iteration	NOUN
esrj-101556	91	14	show	show	VERB
esrj-101556	91	15	that	that	SCONJ
esrj-101556	91	16	without	without	ADP
esrj-101556	91	17	image	image	NOUN
esrj-101556	91	18	inpainting	inpainte	VERB
esrj-101556	91	19	the	the	DET
esrj-101556	91	20	final	final	ADJ
esrj-101556	91	21	number	number	NOUN
esrj-101556	91	22	of	of	ADP
esrj-101556	91	23	detected	detect	VERB
esrj-101556	91	24	sinusoids	sinusoid	NOUN
esrj-101556	91	25	decreases	decrease	VERB
esrj-101556	91	26	,	,	PUNCT
esrj-101556	91	27	and	and	CCONJ
esrj-101556	91	28	the	the	DET
esrj-101556	91	29	number	number	NOUN
esrj-101556	91	30	of	of	ADP
esrj-101556	91	31	false	false	ADJ
esrj-101556	91	32	positive	positive	ADJ
esrj-101556	91	33	increase	increase	NOUN
esrj-101556	91	34	.	.	PUNCT
esrj-101556	92	1	hence	hence	ADV
esrj-101556	92	2	,	,	PUNCT
esrj-101556	92	3	consistent	consistent	ADJ
esrj-101556	92	4	improvements	improvement	NOUN
esrj-101556	92	5	were	be	AUX
esrj-101556	92	6	observed	observe	VERB
esrj-101556	92	7	in	in	ADP
esrj-101556	92	8	the	the	DET
esrj-101556	92	9	outcomes	outcome	NOUN
esrj-101556	92	10	using	use	VERB
esrj-101556	92	11	inpainting	inpainte	VERB
esrj-101556	92	12	,	,	PUNCT
esrj-101556	92	13	adding	add	VERB
esrj-101556	92	14	it	it	PRON
esrj-101556	92	15	permanently	permanently	ADV
esrj-101556	92	16	to	to	ADP
esrj-101556	92	17	the	the	DET
esrj-101556	92	18	image	image	NOUN
esrj-101556	92	19	processing	processing	NOUN
esrj-101556	92	20	pipeline	pipeline	NOUN
esrj-101556	92	21	.	.	PUNCT
esrj-101556	93	1	4.2	4.2	NUM
esrj-101556	93	2	stage	stage	NOUN
esrj-101556	93	3	2	2	NUM
esrj-101556	93	4	–	–	PUNCT
esrj-101556	93	5	edge	edge	NOUN
esrj-101556	93	6	detection	detection	NOUN
esrj-101556	93	7	the	the	DET
esrj-101556	93	8	objective	objective	NOUN
esrj-101556	93	9	of	of	ADP
esrj-101556	93	10	this	this	DET
esrj-101556	93	11	stage	stage	NOUN
esrj-101556	93	12	is	be	AUX
esrj-101556	93	13	to	to	PART
esrj-101556	93	14	map	map	VERB
esrj-101556	93	15	edges	edge	NOUN
esrj-101556	93	16	from	from	ADP
esrj-101556	93	17	the	the	DET
esrj-101556	93	18	grayscale	grayscale	NOUN
esrj-101556	93	19	inpainted	inpainte	VERB
esrj-101556	93	20	image	image	NOUN
esrj-101556	93	21	by	by	ADP
esrj-101556	93	22	applying	apply	VERB
esrj-101556	93	23	gabor	gabor	PROPN
esrj-101556	93	24	’s	’s	PART
esrj-101556	93	25	filters	filter	NOUN
esrj-101556	93	26	,	,	PUNCT
esrj-101556	93	27	image	image	NOUN
esrj-101556	93	28	binarization	binarization	NOUN
esrj-101556	93	29	,	,	PUNCT
esrj-101556	93	30	morphological	morphological	ADJ
esrj-101556	93	31	transformations	transformation	NOUN
esrj-101556	93	32	,	,	PUNCT
esrj-101556	93	33	and	and	CCONJ
esrj-101556	93	34	gaussian	gaussian	ADJ
esrj-101556	93	35	denoising	denoising	NOUN
esrj-101556	93	36	.	.	PUNCT
esrj-101556	94	1	the	the	DET
esrj-101556	94	2	edges	edge	NOUN
esrj-101556	94	3	of	of	ADP
esrj-101556	94	4	a	a	DET
esrj-101556	94	5	figure	figure	NOUN
esrj-101556	94	6	are	be	AUX
esrj-101556	94	7	those	those	DET
esrj-101556	94	8	points	point	NOUN
esrj-101556	94	9	at	at	ADP
esrj-101556	94	10	which	which	PRON
esrj-101556	94	11	the	the	DET
esrj-101556	94	12	luminous	luminous	ADJ
esrj-101556	94	13	intensity	intensity	NOUN
esrj-101556	94	14	changes	change	NOUN
esrj-101556	94	15	sharply	sharply	ADV
esrj-101556	94	16	,	,	PUNCT
esrj-101556	94	17	reflecting	reflect	VERB
esrj-101556	94	18	variations	variation	NOUN
esrj-101556	94	19	in	in	ADP
esrj-101556	94	20	image	image	NOUN
esrj-101556	94	21	properties	property	NOUN
esrj-101556	94	22	;	;	PUNCT
esrj-101556	94	23	edges	edge	NOUN
esrj-101556	94	24	are	be	AUX
esrj-101556	94	25	important	important	ADJ
esrj-101556	94	26	to	to	PART
esrj-101556	94	27	understand	understand	VERB
esrj-101556	94	28	and	and	CCONJ
esrj-101556	94	29	identify	identify	VERB
esrj-101556	94	30	particular	particular	ADJ
esrj-101556	94	31	features	feature	NOUN
esrj-101556	94	32	in	in	ADP
esrj-101556	94	33	the	the	DET
esrj-101556	94	34	whole	whole	ADJ
esrj-101556	94	35	image	image	NOUN
esrj-101556	94	36	(	(	PUNCT
esrj-101556	94	37	neer	neer	NOUN
esrj-101556	94	38	and	and	CCONJ
esrj-101556	94	39	mathur	mathur	PROPN
esrj-101556	94	40	,	,	PUNCT
esrj-101556	94	41	2016	2016	NUM
esrj-101556	94	42	)	)	PUNCT
esrj-101556	94	43	.	.	PUNCT
esrj-101556	95	1	the	the	DET
esrj-101556	95	2	first	first	ADJ
esrj-101556	95	3	step	step	NOUN
esrj-101556	95	4	in	in	ADP
esrj-101556	95	5	this	this	DET
esrj-101556	95	6	stage	stage	NOUN
esrj-101556	95	7	consists	consist	VERB
esrj-101556	95	8	in	in	ADP
esrj-101556	95	9	applying	apply	VERB
esrj-101556	95	10	a	a	DET
esrj-101556	95	11	gabor	gabor	NOUN
esrj-101556	95	12	’s	’s	PART
esrj-101556	95	13	filter	filter	PROPN
esrj-101556	95	14	bank	bank	PROPN
esrj-101556	95	15	(	(	PUNCT
esrj-101556	95	16	figure	figure	NOUN
esrj-101556	95	17	6d	6d	NUM
esrj-101556	95	18	)	)	PUNCT
esrj-101556	95	19	;	;	PUNCT
esrj-101556	95	20	this	this	DET
esrj-101556	95	21	filter	filter	NOUN
esrj-101556	95	22	was	be	AUX
esrj-101556	95	23	originally	originally	ADV
esrj-101556	95	24	introduced	introduce	VERB
esrj-101556	95	25	by	by	ADP
esrj-101556	95	26	dennis	dennis	PROPN
esrj-101556	95	27	gabor	gabor	PROPN
esrj-101556	95	28	in	in	ADP
esrj-101556	95	29	1946	1946	NUM
esrj-101556	95	30	and	and	CCONJ
esrj-101556	95	31	currently	currently	ADV
esrj-101556	95	32	has	have	VERB
esrj-101556	95	33	wide	wide	ADJ
esrj-101556	95	34	application	application	NOUN
esrj-101556	95	35	in	in	ADP
esrj-101556	95	36	image	image	NOUN
esrj-101556	95	37	processing	processing	NOUN
esrj-101556	95	38	(	(	PUNCT
esrj-101556	95	39	arora	arora	PROPN
esrj-101556	95	40	and	and	CCONJ
esrj-101556	95	41	sarvani	sarvani	PROPN
esrj-101556	95	42	,	,	PUNCT
esrj-101556	95	43	2017	2017	NUM
esrj-101556	95	44	)	)	PUNCT
esrj-101556	95	45	.	.	PUNCT
esrj-101556	96	1	the	the	DET
esrj-101556	96	2	gabor	gabor	PROPN
esrj-101556	96	3	’s	’s	PART
esrj-101556	96	4	filter	filter	NOUN
esrj-101556	96	5	detects	detect	NOUN
esrj-101556	96	6	image	image	NOUN
esrj-101556	96	7	gradients	gradient	NOUN
esrj-101556	96	8	of	of	ADP
esrj-101556	96	9	a	a	DET
esrj-101556	96	10	specific	specific	ADJ
esrj-101556	96	11	orientation	orientation	NOUN
esrj-101556	96	12	;	;	PUNCT
esrj-101556	96	13	the	the	DET
esrj-101556	96	14	convolution	convolution	NOUN
esrj-101556	96	15	of	of	ADP
esrj-101556	96	16	image	image	NOUN
esrj-101556	96	17	patches	patch	NOUN
esrj-101556	96	18	with	with	ADP
esrj-101556	96	19	different	different	ADJ
esrj-101556	96	20	scales	scale	NOUN
esrj-101556	96	21	and	and	CCONJ
esrj-101556	96	22	orientations	orientation	NOUN
esrj-101556	96	23	(	(	PUNCT
esrj-101556	96	24	filter	filter	NOUN
esrj-101556	96	25	bank	bank	NOUN
esrj-101556	96	26	)	)	PUNCT
esrj-101556	96	27	allows	allow	VERB
esrj-101556	96	28	extraction	extraction	NOUN
esrj-101556	96	29	and	and	CCONJ
esrj-101556	96	30	encoding	encoding	NOUN
esrj-101556	96	31	of	of	ADP
esrj-101556	96	32	local	local	ADJ
esrj-101556	96	33	texture	texture	ADJ
esrj-101556	96	34	information	information	NOUN
esrj-101556	96	35	usable	usable	ADJ
esrj-101556	96	36	for	for	ADP
esrj-101556	96	37	classification	classification	NOUN
esrj-101556	96	38	(	(	PUNCT
esrj-101556	96	39	maynberg	maynberg	NOUN
esrj-101556	96	40	and	and	CCONJ
esrj-101556	96	41	kush	kush	NOUN
esrj-101556	96	42	,	,	PUNCT
esrj-101556	96	43	2013	2013	NUM
esrj-101556	96	44	)	)	PUNCT
esrj-101556	96	45	.	.	PUNCT
esrj-101556	97	1	frequency	frequency	NOUN
esrj-101556	97	2	and	and	CCONJ
esrj-101556	97	3	orientation	orientation	NOUN
esrj-101556	97	4	representations	representation	NOUN
esrj-101556	97	5	of	of	ADP
esrj-101556	97	6	gabor	gabor	PROPN
esrj-101556	97	7	’s	’s	PART
esrj-101556	97	8	filters	filter	NOUN
esrj-101556	97	9	are	be	AUX
esrj-101556	97	10	similar	similar	ADJ
esrj-101556	97	11	to	to	ADP
esrj-101556	97	12	those	those	PRON
esrj-101556	97	13	of	of	ADP
esrj-101556	97	14	the	the	DET
esrj-101556	97	15	human	human	ADJ
esrj-101556	97	16	visual	visual	ADJ
esrj-101556	97	17	system	system	NOUN
esrj-101556	97	18	,	,	PUNCT
esrj-101556	97	19	particularly	particularly	ADV
esrj-101556	97	20	appropriate	appropriate	ADJ
esrj-101556	97	21	for	for	ADP
esrj-101556	97	22	texture	texture	ADJ
esrj-101556	97	23	representation	representation	NOUN
esrj-101556	97	24	and	and	CCONJ
esrj-101556	97	25	classification	classification	NOUN
esrj-101556	97	26	.	.	PUNCT
esrj-101556	98	1	in	in	ADP
esrj-101556	98	2	the	the	DET
esrj-101556	98	3	spatial	spatial	ADJ
esrj-101556	98	4	domain	domain	NOUN
esrj-101556	98	5	,	,	PUNCT
esrj-101556	98	6	a	a	DET
esrj-101556	98	7	2d	2d	NUM
esrj-101556	98	8	gabor	gabor	PROPN
esrj-101556	98	9	’s	’s	PART
esrj-101556	98	10	filter	filter	NOUN
esrj-101556	98	11	is	be	AUX
esrj-101556	98	12	a	a	DET
esrj-101556	98	13	gaussian	gaussian	ADJ
esrj-101556	98	14	kernel	kernel	NOUN
esrj-101556	98	15	function	function	NOUN
esrj-101556	98	16	modulated	modulate	VERB
esrj-101556	98	17	by	by	ADP
esrj-101556	98	18	a	a	DET
esrj-101556	98	19	sinusoidal	sinusoidal	ADJ
esrj-101556	98	20	plane	plane	NOUN
esrj-101556	98	21	wave	wave	NOUN
esrj-101556	98	22	.	.	PUNCT
esrj-101556	99	1	simple	simple	ADJ
esrj-101556	99	2	cells	cell	NOUN
esrj-101556	99	3	in	in	ADP
esrj-101556	99	4	the	the	DET
esrj-101556	99	5	primary	primary	ADJ
esrj-101556	99	6	visual	visual	ADJ
esrj-101556	99	7	cortex	cortex	NOUN
esrj-101556	99	8	of	of	ADP
esrj-101556	99	9	mammalian	mammalian	ADJ
esrj-101556	99	10	brains	brain	NOUN
esrj-101556	99	11	can	can	AUX
esrj-101556	99	12	be	be	AUX
esrj-101556	99	13	modeled	model	VERB
esrj-101556	99	14	by	by	ADP
esrj-101556	99	15	gabor	gabor	NOUN
esrj-101556	99	16	functions	function	NOUN
esrj-101556	99	17	.	.	PUNCT
esrj-101556	100	1	thus	thus	ADV
esrj-101556	100	2	,	,	PUNCT
esrj-101556	100	3	image	image	NOUN
esrj-101556	100	4	analysis	analysis	NOUN
esrj-101556	100	5	with	with	ADP
esrj-101556	100	6	gabor	gabor	PROPN
esrj-101556	100	7	’s	’s	PART
esrj-101556	100	8	filters	filter	NOUN
esrj-101556	100	9	is	be	AUX
esrj-101556	100	10	thought	think	VERB
esrj-101556	100	11	to	to	PART
esrj-101556	100	12	be	be	AUX
esrj-101556	100	13	similar	similar	ADJ
esrj-101556	100	14	to	to	ADP
esrj-101556	100	15	perception	perception	NOUN
esrj-101556	100	16	in	in	ADP
esrj-101556	100	17	the	the	DET
esrj-101556	100	18	human	human	ADJ
esrj-101556	100	19	visual	visual	ADJ
esrj-101556	100	20	system	system	NOUN
esrj-101556	100	21	(	(	PUNCT
esrj-101556	100	22	arora	arora	PROPN
esrj-101556	100	23	and	and	CCONJ
esrj-101556	100	24	sarvani	sarvani	PROPN
esrj-101556	100	25	,	,	PUNCT
esrj-101556	100	26	2017	2017	NUM
esrj-101556	100	27	)	)	PUNCT
esrj-101556	100	28	.	.	PUNCT
esrj-101556	101	1	the	the	DET
esrj-101556	101	2	filter	filter	NOUN
esrj-101556	101	3	has	have	VERB
esrj-101556	101	4	a	a	DET
esrj-101556	101	5	real	real	ADJ
esrj-101556	101	6	and	and	CCONJ
esrj-101556	101	7	an	an	DET
esrj-101556	101	8	imaginary	imaginary	ADJ
esrj-101556	101	9	component	component	NOUN
esrj-101556	101	10	representing	represent	VERB
esrj-101556	101	11	orthogonal	orthogonal	ADJ
esrj-101556	101	12	directions	direction	NOUN
esrj-101556	101	13	.	.	PUNCT
esrj-101556	102	1	the	the	DET
esrj-101556	102	2	two	two	NUM
esrj-101556	102	3	components	component	NOUN
esrj-101556	102	4	may	may	AUX
esrj-101556	102	5	be	be	AUX
esrj-101556	102	6	formed	form	VERB
esrj-101556	102	7	into	into	ADP
esrj-101556	102	8	a	a	DET
esrj-101556	102	9	complex	complex	ADJ
esrj-101556	102	10	number	number	NOUN
esrj-101556	102	11	or	or	CCONJ
esrj-101556	102	12	used	use	VERB
esrj-101556	102	13	individually	individually	ADV
esrj-101556	102	14	,	,	PUNCT
esrj-101556	102	15	modeled	model	VERB
esrj-101556	102	16	by	by	ADP
esrj-101556	102	17	the	the	DET
esrj-101556	102	18	equations	equation	NOUN
esrj-101556	102	19	(	(	PUNCT
esrj-101556	102	20	1	1	X
esrj-101556	102	21	)	)	PUNCT
esrj-101556	102	22	for	for	ADP
esrj-101556	102	23	complex	complex	ADJ
esrj-101556	102	24	,	,	PUNCT
esrj-101556	102	25	(	(	PUNCT
esrj-101556	102	26	2	2	NUM
esrj-101556	102	27	)	)	PUNCT
esrj-101556	102	28	for	for	ADP
esrj-101556	102	29	real	real	ADJ
esrj-101556	102	30	,	,	PUNCT
esrj-101556	102	31	and	and	CCONJ
esrj-101556	102	32	(	(	PUNCT
esrj-101556	102	33	3	3	X
esrj-101556	102	34	)	)	PUNCT
esrj-101556	102	35	for	for	ADP
esrj-101556	102	36	imaginary	imaginary	ADJ
esrj-101556	102	37	.	.	PUNCT
esrj-101556	103	1	(	(	PUNCT
esrj-101556	103	2	1	1	NUM
esrj-101556	103	3	)	)	PUNCT
esrj-101556	103	4	(	(	PUNCT
esrj-101556	103	5	2	2	NUM
esrj-101556	103	6	)	)	PUNCT
esrj-101556	103	7	(	(	PUNCT
esrj-101556	103	8	3	3	X
esrj-101556	103	9	)	)	PUNCT
esrj-101556	103	10	where	where	SCONJ
esrj-101556	103	11	:	:	PUNCT
esrj-101556	103	12	figure	figure	VERB
esrj-101556	103	13	3	3	NUM
esrj-101556	103	14	.	.	PUNCT
esrj-101556	103	15	correlation	correlation	NOUN
esrj-101556	103	16	between	between	ADP
esrj-101556	103	17	resistivity	resistivity	NOUN
esrj-101556	103	18	curves	curve	NOUN
esrj-101556	103	19	(	(	PUNCT
esrj-101556	103	20	modified	modify	VERB
esrj-101556	103	21	from	from	ADP
esrj-101556	103	22	grace	grace	NOUN
esrj-101556	103	23	,	,	PUNCT
esrj-101556	103	24	et	et	PROPN
esrj-101556	103	25	al	al	PROPN
esrj-101556	103	26	.	.	PROPN
esrj-101556	103	27	,	,	PUNCT
esrj-101556	103	28	2000	2000	NUM
esrj-101556	103	29	)	)	PUNCT
esrj-101556	103	30	.	.	PUNCT
esrj-101556	104	1	143computer	143computer	PROPN
esrj-101556	104	2	vision	vision	NOUN
esrj-101556	104	3	techniques	technique	NOUN
esrj-101556	104	4	applied	apply	VERB
esrj-101556	104	5	to	to	ADP
esrj-101556	104	6	automatic	automatic	ADJ
esrj-101556	104	7	detection	detection	NOUN
esrj-101556	104	8	of	of	ADP
esrj-101556	104	9	sinusoids	sinusoid	NOUN
esrj-101556	104	10	in	in	ADP
esrj-101556	104	11	borehole	borehole	NOUN
esrj-101556	104	12	resistivity	resistivity	NOUN
esrj-101556	104	13	imaging	imaging	NOUN
esrj-101556	104	14	–	–	PUNCT
esrj-101556	104	15	a	a	DET
esrj-101556	104	16	comparison	comparison	NOUN
esrj-101556	104	17	with	with	ADP
esrj-101556	104	18	the	the	DET
esrj-101556	104	19	msd	msd	NOUN
esrj-101556	104	20	method	method	NOUN
esrj-101556	104	21	and	and	CCONJ
esrj-101556	104	22	:	:	PUNCT
esrj-101556	104	23	in	in	ADP
esrj-101556	104	24	the	the	DET
esrj-101556	104	25	above	above	ADJ
esrj-101556	104	26	equations	equation	NOUN
esrj-101556	104	27	:	:	PUNCT
esrj-101556	104	28	λ	λ	X
esrj-101556	104	29	–	–	PUNCT
esrj-101556	104	30	wavelength	wavelength	NOUN
esrj-101556	104	31	of	of	ADP
esrj-101556	104	32	the	the	DET
esrj-101556	104	33	sinusoidal	sinusoidal	ADJ
esrj-101556	104	34	component	component	NOUN
esrj-101556	104	35	.	.	PUNCT
esrj-101556	105	1	θ	θ	PROPN
esrj-101556	105	2	–	–	PUNCT
esrj-101556	105	3	the	the	DET
esrj-101556	105	4	orientation	orientation	NOUN
esrj-101556	105	5	of	of	ADP
esrj-101556	105	6	the	the	DET
esrj-101556	105	7	normal	normal	ADJ
esrj-101556	105	8	to	to	ADP
esrj-101556	105	9	the	the	DET
esrj-101556	105	10	parallel	parallel	ADJ
esrj-101556	105	11	stripes	stripe	NOUN
esrj-101556	105	12	of	of	ADP
esrj-101556	105	13	gabor	gabor	PROPN
esrj-101556	105	14	function	function	PROPN
esrj-101556	105	15	.	.	PUNCT
esrj-101556	106	1	ψ	ψ	X
esrj-101556	106	2	–	–	PUNCT
esrj-101556	106	3	the	the	DET
esrj-101556	106	4	phase	phase	NOUN
esrj-101556	106	5	offset	offset	NOUN
esrj-101556	106	6	of	of	ADP
esrj-101556	106	7	the	the	DET
esrj-101556	106	8	sinusoidal	sinusoidal	ADJ
esrj-101556	106	9	function	function	NOUN
esrj-101556	106	10	.	.	PUNCT
esrj-101556	107	1	σ	σ	NOUN
esrj-101556	107	2	–	–	PUNCT
esrj-101556	107	3	the	the	DET
esrj-101556	107	4	standard	standard	ADJ
esrj-101556	107	5	deviation	deviation	NOUN
esrj-101556	107	6	of	of	ADP
esrj-101556	107	7	the	the	DET
esrj-101556	107	8	gaussian	gaussian	ADJ
esrj-101556	107	9	envelope	envelope	NOUN
esrj-101556	107	10	γ	γ	X
esrj-101556	107	11	–	–	PUNCT
esrj-101556	107	12	the	the	DET
esrj-101556	107	13	spatial	spatial	ADJ
esrj-101556	107	14	aspect	aspect	NOUN
esrj-101556	107	15	ratio	ratio	NOUN
esrj-101556	107	16	and	and	CCONJ
esrj-101556	107	17	specifies	specify	VERB
esrj-101556	107	18	the	the	DET
esrj-101556	107	19	ellipticity	ellipticity	NOUN
esrj-101556	107	20	of	of	ADP
esrj-101556	107	21	the	the	DET
esrj-101556	107	22	support	support	NOUN
esrj-101556	107	23	of	of	ADP
esrj-101556	107	24	gabor	gabor	PROPN
esrj-101556	107	25	function	function	PROPN
esrj-101556	107	26	.	.	PUNCT
esrj-101556	108	1	after	after	SCONJ
esrj-101556	108	2	gabor	gabor	PROPN
esrj-101556	108	3	’s	’s	PART
esrj-101556	108	4	filter	filter	NOUN
esrj-101556	108	5	is	be	AUX
esrj-101556	108	6	applied	apply	VERB
esrj-101556	108	7	in	in	ADP
esrj-101556	108	8	several	several	ADJ
esrj-101556	108	9	scales	scale	NOUN
esrj-101556	108	10	and	and	CCONJ
esrj-101556	108	11	orientations	orientation	NOUN
esrj-101556	108	12	(	(	PUNCT
esrj-101556	108	13	filter	filter	NOUN
esrj-101556	108	14	bank	bank	NOUN
esrj-101556	108	15	,	,	PUNCT
esrj-101556	108	16	figure	figure	NOUN
esrj-101556	108	17	6d	6d	NUM
esrj-101556	108	18	)	)	PUNCT
esrj-101556	108	19	,	,	PUNCT
esrj-101556	108	20	the	the	DET
esrj-101556	108	21	resulting	result	VERB
esrj-101556	108	22	image	image	NOUN
esrj-101556	108	23	is	be	AUX
esrj-101556	108	24	thresholded	thresholde	VERB
esrj-101556	108	25	and	and	CCONJ
esrj-101556	108	26	converted	convert	VERB
esrj-101556	108	27	into	into	ADP
esrj-101556	108	28	a	a	DET
esrj-101556	108	29	matrix	matrix	NOUN
esrj-101556	108	30	of	of	ADP
esrj-101556	108	31	one	one	NUM
esrj-101556	108	32	(	(	PUNCT
esrj-101556	108	33	white	white	ADJ
esrj-101556	108	34	)	)	PUNCT
esrj-101556	108	35	and	and	CCONJ
esrj-101556	108	36	zero	zero	NUM
esrj-101556	108	37	(	(	PUNCT
esrj-101556	108	38	black	black	NOUN
esrj-101556	108	39	)	)	PUNCT
esrj-101556	108	40	.	.	PUNCT
esrj-101556	109	1	in	in	ADP
esrj-101556	109	2	the	the	DET
esrj-101556	109	3	second	second	ADJ
esrj-101556	109	4	step	step	NOUN
esrj-101556	109	5	of	of	ADP
esrj-101556	109	6	this	this	DET
esrj-101556	109	7	stage	stage	NOUN
esrj-101556	109	8	two	two	NUM
esrj-101556	109	9	kinds	kind	NOUN
esrj-101556	109	10	of	of	ADP
esrj-101556	109	11	morphological	morphological	ADJ
esrj-101556	109	12	transformations	transformation	NOUN
esrj-101556	109	13	are	be	AUX
esrj-101556	109	14	employed	employ	VERB
esrj-101556	109	15	,	,	PUNCT
esrj-101556	109	16	skeletonization	skeletonization	NOUN
esrj-101556	109	17	and	and	CCONJ
esrj-101556	109	18	dilation	dilation	NOUN
esrj-101556	109	19	(	(	PUNCT
esrj-101556	109	20	figure	figure	VERB
esrj-101556	109	21	6e	6e	NUM
esrj-101556	109	22	)	)	PUNCT
esrj-101556	109	23	.	.	PUNCT
esrj-101556	110	1	morphological	morphological	ADJ
esrj-101556	110	2	transformations	transformation	NOUN
esrj-101556	110	3	are	be	AUX
esrj-101556	110	4	simple	simple	ADJ
esrj-101556	110	5	operations	operation	NOUN
esrj-101556	110	6	based	base	VERB
esrj-101556	110	7	on	on	ADP
esrj-101556	110	8	the	the	DET
esrj-101556	110	9	image	image	NOUN
esrj-101556	110	10	shape	shape	NOUN
esrj-101556	110	11	,	,	PUNCT
esrj-101556	110	12	normally	normally	ADV
esrj-101556	110	13	performed	perform	VERB
esrj-101556	110	14	on	on	ADP
esrj-101556	110	15	binary	binary	ADJ
esrj-101556	110	16	images	image	NOUN
esrj-101556	110	17	.	.	PUNCT
esrj-101556	111	1	the	the	DET
esrj-101556	111	2	skeletonization	skeletonization	NOUN
esrj-101556	111	3	reduces	reduce	VERB
esrj-101556	111	4	binary	binary	ADJ
esrj-101556	111	5	objects	object	NOUN
esrj-101556	111	6	to	to	ADP
esrj-101556	111	7	one	one	NUM
esrj-101556	111	8	-	-	PUNCT
esrj-101556	111	9	pixel	pixel	NOUN
esrj-101556	111	10	wide	wide	ADV
esrj-101556	111	11	and	and	CCONJ
esrj-101556	111	12	can	can	AUX
esrj-101556	111	13	be	be	AUX
esrj-101556	111	14	useful	useful	ADJ
esrj-101556	111	15	for	for	ADP
esrj-101556	111	16	feature	feature	NOUN
esrj-101556	111	17	extraction	extraction	NOUN
esrj-101556	111	18	;	;	PUNCT
esrj-101556	111	19	this	this	DET
esrj-101556	111	20	morphological	morphological	ADJ
esrj-101556	111	21	transformation	transformation	NOUN
esrj-101556	111	22	converts	convert	VERB
esrj-101556	111	23	white	white	ADJ
esrj-101556	111	24	sections	section	NOUN
esrj-101556	111	25	into	into	ADP
esrj-101556	111	26	a	a	DET
esrj-101556	111	27	one	one	NUM
esrj-101556	111	28	-	-	PUNCT
esrj-101556	111	29	pixel	pixel	NOUN
esrj-101556	111	30	wide	wide	ADJ
esrj-101556	111	31	skeleton	skeleton	NOUN
esrj-101556	111	32	,	,	PUNCT
esrj-101556	111	33	with	with	ADP
esrj-101556	111	34	the	the	DET
esrj-101556	111	35	same	same	ADJ
esrj-101556	111	36	connectivity	connectivity	NOUN
esrj-101556	111	37	as	as	ADP
esrj-101556	111	38	the	the	DET
esrj-101556	111	39	original	original	ADJ
esrj-101556	111	40	figure	figure	NOUN
esrj-101556	111	41	.	.	PUNCT
esrj-101556	112	1	although	although	SCONJ
esrj-101556	112	2	the	the	DET
esrj-101556	112	3	skeleton	skeleton	NOUN
esrj-101556	112	4	image	image	NOUN
esrj-101556	112	5	in	in	ADP
esrj-101556	112	6	this	this	DET
esrj-101556	112	7	step	step	NOUN
esrj-101556	112	8	seems	seem	VERB
esrj-101556	112	9	to	to	PART
esrj-101556	112	10	be	be	AUX
esrj-101556	112	11	clean	clean	ADJ
esrj-101556	112	12	and	and	CCONJ
esrj-101556	112	13	optimal	optimal	ADJ
esrj-101556	112	14	for	for	ADP
esrj-101556	112	15	the	the	DET
esrj-101556	112	16	following	follow	VERB
esrj-101556	112	17	hough	hough	PROPN
esrj-101556	112	18	’s	’s	PART
esrj-101556	112	19	transform	transform	NOUN
esrj-101556	112	20	processing	processing	NOUN
esrj-101556	112	21	,	,	PUNCT
esrj-101556	112	22	it	it	PRON
esrj-101556	112	23	is	be	AUX
esrj-101556	112	24	still	still	ADV
esrj-101556	112	25	a	a	DET
esrj-101556	112	26	low	low	ADJ
esrj-101556	112	27	-	-	PUNCT
esrj-101556	112	28	quality	quality	NOUN
esrj-101556	112	29	image	image	NOUN
esrj-101556	112	30	and	and	CCONJ
esrj-101556	112	31	has	have	VERB
esrj-101556	112	32	not	not	PART
esrj-101556	112	33	enough	enough	ADJ
esrj-101556	112	34	white	white	ADJ
esrj-101556	112	35	pixels	pixel	NOUN
esrj-101556	112	36	for	for	ADP
esrj-101556	112	37	sinusoid	sinusoid	ADJ
esrj-101556	112	38	recognition	recognition	NOUN
esrj-101556	112	39	.	.	PUNCT
esrj-101556	113	1	once	once	SCONJ
esrj-101556	113	2	the	the	DET
esrj-101556	113	3	skeleton	skeleton	NOUN
esrj-101556	113	4	image	image	NOUN
esrj-101556	113	5	is	be	AUX
esrj-101556	113	6	created	create	VERB
esrj-101556	113	7	,	,	PUNCT
esrj-101556	113	8	morphological	morphological	ADJ
esrj-101556	113	9	transformations	transformation	NOUN
esrj-101556	113	10	of	of	ADP
esrj-101556	113	11	dilation	dilation	NOUN
esrj-101556	113	12	are	be	AUX
esrj-101556	113	13	used	use	VERB
esrj-101556	113	14	to	to	PART
esrj-101556	113	15	highlight	highlight	VERB
esrj-101556	113	16	the	the	DET
esrj-101556	113	17	edges	edge	NOUN
esrj-101556	113	18	.	.	PUNCT
esrj-101556	114	1	morphological	morphological	ADJ
esrj-101556	114	2	dilation	dilation	NOUN
esrj-101556	114	3	augments	augment	VERB
esrj-101556	114	4	the	the	DET
esrj-101556	114	5	white	white	ADJ
esrj-101556	114	6	sections	section	NOUN
esrj-101556	114	7	by	by	ADP
esrj-101556	114	8	enlarging	enlarge	VERB
esrj-101556	114	9	bright	bright	ADJ
esrj-101556	114	10	regions	region	NOUN
esrj-101556	114	11	of	of	ADP
esrj-101556	114	12	the	the	DET
esrj-101556	114	13	image	image	NOUN
esrj-101556	114	14	(	(	PUNCT
esrj-101556	114	15	pratt	pratt	PROPN
esrj-101556	114	16	,	,	PUNCT
esrj-101556	114	17	2007	2007	NUM
esrj-101556	114	18	)	)	PUNCT
esrj-101556	114	19	.	.	PUNCT
esrj-101556	115	1	the	the	DET
esrj-101556	115	2	final	final	ADJ
esrj-101556	115	3	step	step	NOUN
esrj-101556	115	4	in	in	ADP
esrj-101556	115	5	this	this	DET
esrj-101556	115	6	stage	stage	NOUN
esrj-101556	115	7	can	can	AUX
esrj-101556	115	8	be	be	AUX
esrj-101556	115	9	considered	consider	VERB
esrj-101556	115	10	as	as	ADP
esrj-101556	115	11	an	an	DET
esrj-101556	115	12	initial	initial	ADJ
esrj-101556	115	13	cleaning	cleaning	NOUN
esrj-101556	115	14	step	step	NOUN
esrj-101556	115	15	(	(	PUNCT
esrj-101556	115	16	figure	figure	NOUN
esrj-101556	115	17	6f	6f	NUM
esrj-101556	115	18	)	)	PUNCT
esrj-101556	115	19	;	;	PUNCT
esrj-101556	115	20	the	the	DET
esrj-101556	115	21	objective	objective	NOUN
esrj-101556	115	22	is	be	AUX
esrj-101556	115	23	to	to	PART
esrj-101556	115	24	generate	generate	VERB
esrj-101556	115	25	an	an	DET
esrj-101556	115	26	edge	edge	NOUN
esrj-101556	115	27	map	map	NOUN
esrj-101556	115	28	clean	clean	ADJ
esrj-101556	115	29	enough	enough	ADV
esrj-101556	115	30	for	for	ADP
esrj-101556	115	31	hough	hough	PROPN
esrj-101556	115	32	’s	’s	PART
esrj-101556	115	33	transform	transform	NOUN
esrj-101556	115	34	processing	processing	NOUN
esrj-101556	115	35	.	.	PUNCT
esrj-101556	116	1	in	in	ADP
esrj-101556	116	2	order	order	NOUN
esrj-101556	116	3	to	to	PART
esrj-101556	116	4	do	do	AUX
esrj-101556	116	5	so	so	ADV
esrj-101556	116	6	,	,	PUNCT
esrj-101556	116	7	a	a	DET
esrj-101556	116	8	second	second	ADJ
esrj-101556	116	9	gabor	gabor	NOUN
esrj-101556	116	10	’s	’s	PART
esrj-101556	116	11	filter	filter	NOUN
esrj-101556	116	12	is	be	AUX
esrj-101556	116	13	employed	employ	VERB
esrj-101556	116	14	,	,	PUNCT
esrj-101556	116	15	but	but	CCONJ
esrj-101556	116	16	this	this	DET
esrj-101556	116	17	time	time	NOUN
esrj-101556	116	18	with	with	ADP
esrj-101556	116	19	a	a	DET
esrj-101556	116	20	fixed	fix	VERB
esrj-101556	116	21	angle	angle	NOUN
esrj-101556	116	22	and	and	CCONJ
esrj-101556	116	23	kernel	kernel	NOUN
esrj-101556	116	24	.	.	PUNCT
esrj-101556	117	1	this	this	DET
esrj-101556	117	2	filter	filter	NOUN
esrj-101556	117	3	removes	remove	VERB
esrj-101556	117	4	noise	noise	NOUN
esrj-101556	117	5	or	or	CCONJ
esrj-101556	117	6	artifacts	artifact	NOUN
esrj-101556	117	7	aligned	align	VERB
esrj-101556	117	8	90	90	NUM
esrj-101556	117	9	°	°	NOUN
esrj-101556	117	10	in	in	ADP
esrj-101556	117	11	the	the	DET
esrj-101556	117	12	image	image	NOUN
esrj-101556	117	13	;	;	PUNCT
esrj-101556	117	14	these	these	DET
esrj-101556	117	15	vertical	vertical	ADJ
esrj-101556	117	16	artifacts	artifact	NOUN
esrj-101556	117	17	can	can	AUX
esrj-101556	117	18	be	be	AUX
esrj-101556	117	19	produced	produce	VERB
esrj-101556	117	20	by	by	ADP
esrj-101556	117	21	previous	previous	ADJ
esrj-101556	117	22	inpainting	inpainting	ADJ
esrj-101556	117	23	processes	process	NOUN
esrj-101556	117	24	applied	apply	VERB
esrj-101556	117	25	over	over	ADP
esrj-101556	117	26	sections	section	NOUN
esrj-101556	117	27	without	without	ADP
esrj-101556	117	28	resistivity	resistivity	NOUN
esrj-101556	117	29	data	datum	NOUN
esrj-101556	117	30	in	in	ADP
esrj-101556	117	31	the	the	DET
esrj-101556	117	32	borehole	borehole	NOUN
esrj-101556	117	33	wall	wall	NOUN
esrj-101556	117	34	.	.	PUNCT
esrj-101556	118	1	at	at	ADP
esrj-101556	118	2	this	this	DET
esrj-101556	118	3	point	point	NOUN
esrj-101556	118	4	,	,	PUNCT
esrj-101556	118	5	some	some	DET
esrj-101556	118	6	salt	salt	NOUN
esrj-101556	118	7	and	and	CCONJ
esrj-101556	118	8	pepper	pepper	NOUN
esrj-101556	118	9	noise	noise	NOUN
esrj-101556	118	10	can	can	AUX
esrj-101556	118	11	remain	remain	VERB
esrj-101556	118	12	in	in	ADP
esrj-101556	118	13	the	the	DET
esrj-101556	118	14	image	image	NOUN
esrj-101556	118	15	and	and	CCONJ
esrj-101556	118	16	a	a	DET
esrj-101556	118	17	gaussian	gaussian	ADJ
esrj-101556	118	18	blur	blur	NOUN
esrj-101556	118	19	is	be	AUX
esrj-101556	118	20	applied	apply	VERB
esrj-101556	118	21	to	to	PART
esrj-101556	118	22	remove	remove	VERB
esrj-101556	118	23	it	it	PRON
esrj-101556	118	24	.	.	PUNCT
esrj-101556	119	1	gaussian	gaussian	ADJ
esrj-101556	119	2	blur	blur	PROPN
esrj-101556	119	3	is	be	AUX
esrj-101556	119	4	a	a	DET
esrj-101556	119	5	smoothing	smooth	VERB
esrj-101556	119	6	technique	technique	NOUN
esrj-101556	119	7	to	to	PART
esrj-101556	119	8	eliminate	eliminate	VERB
esrj-101556	119	9	noises	noise	NOUN
esrj-101556	119	10	,	,	PUNCT
esrj-101556	119	11	where	where	SCONJ
esrj-101556	119	12	the	the	DET
esrj-101556	119	13	image	image	NOUN
esrj-101556	119	14	is	be	AUX
esrj-101556	119	15	convolved	convolve	VERB
esrj-101556	119	16	with	with	ADP
esrj-101556	119	17	a	a	DET
esrj-101556	119	18	gaussian	gaussian	ADJ
esrj-101556	119	19	kernel	kernel	NOUN
esrj-101556	119	20	.	.	PUNCT
esrj-101556	120	1	4.3	4.3	NUM
esrj-101556	120	2	stage	stage	NOUN
esrj-101556	120	3	3	3	NUM
esrj-101556	120	4	–	–	PUNCT
esrj-101556	120	5	sinusoid	sinusoid	ADJ
esrj-101556	120	6	detection	detection	NOUN
esrj-101556	120	7	this	this	DET
esrj-101556	120	8	stage	stage	NOUN
esrj-101556	120	9	includes	include	VERB
esrj-101556	120	10	computation	computation	NOUN
esrj-101556	120	11	of	of	ADP
esrj-101556	120	12	all	all	DET
esrj-101556	120	13	parameters	parameter	NOUN
esrj-101556	120	14	of	of	ADP
esrj-101556	120	15	the	the	DET
esrj-101556	120	16	hough	hough	PROPN
esrj-101556	120	17	’s	’s	PART
esrj-101556	120	18	transform	transform	NOUN
esrj-101556	120	19	for	for	ADP
esrj-101556	120	20	sinusoid	sinusoid	ADJ
esrj-101556	120	21	detection	detection	NOUN
esrj-101556	120	22	,	,	PUNCT
esrj-101556	120	23	and	and	CCONJ
esrj-101556	120	24	according	accord	VERB
esrj-101556	120	25	to	to	ADP
esrj-101556	120	26	the	the	DET
esrj-101556	120	27	equation	equation	NOUN
esrj-101556	120	28	(	(	PUNCT
esrj-101556	120	29	4	4	X
esrj-101556	120	30	)	)	PUNCT
esrj-101556	120	31	they	they	PRON
esrj-101556	120	32	include	include	VERB
esrj-101556	120	33	:	:	PUNCT
esrj-101556	120	34	(	(	PUNCT
esrj-101556	120	35	4	4	X
esrj-101556	120	36	)	)	PUNCT
esrj-101556	120	37	figure	figure	NOUN
esrj-101556	120	38	5	5	NUM
esrj-101556	120	39	.	.	PUNCT
esrj-101556	120	40	computer	computer	NOUN
esrj-101556	120	41	vision	vision	NOUN
esrj-101556	120	42	.	.	PUNCT
esrj-101556	121	1	processing	processing	NOUN
esrj-101556	121	2	in	in	ADP
esrj-101556	121	3	the	the	DET
esrj-101556	121	4	stage	stage	NOUN
esrj-101556	121	5	–	–	PUNCT
esrj-101556	121	6	1	1	NUM
esrj-101556	121	7	(	(	PUNCT
esrj-101556	121	8	inpainting	inpainte	VERB
esrj-101556	121	9	)	)	PUNCT
esrj-101556	121	10	.	.	PUNCT
esrj-101556	122	1	figure	figure	VERB
esrj-101556	122	2	4	4	NUM
esrj-101556	122	3	.	.	PUNCT
esrj-101556	122	4	image	image	NOUN
esrj-101556	122	5	processing	processing	NOUN
esrj-101556	122	6	pipeline	pipeline	NOUN
esrj-101556	122	7	.	.	PUNCT
esrj-101556	123	1	144	144	NUM
esrj-101556	123	2	jorge	jorge	PROPN
esrj-101556	123	3	alberto	alberto	PROPN
esrj-101556	123	4	leal	leal	PROPN
esrj-101556	123	5	freitez	freitez	PROPN
esrj-101556	123	6	,	,	PUNCT
esrj-101556	123	7	luis	luis	PROPN
esrj-101556	123	8	hernán	hernán	PROPN
esrj-101556	123	9	ochoa	ochoa	PROPN
esrj-101556	123	10	gutiérrez	gutiérrez	PROPN
esrj-101556	123	11	,	,	PUNCT
esrj-101556	123	12	sergio	sergio	PROPN
esrj-101556	123	13	francisco	francisco	PROPN
esrj-101556	123	14	acosta	acosta	PROPN
esrj-101556	123	15	lenis	lenis	PROPN
esrj-101556	123	16	x	x	PROPN
esrj-101556	123	17	,	,	PUNCT
esrj-101556	123	18	y	y	PROPN
esrj-101556	123	19	–	–	PUNCT
esrj-101556	123	20	pixel	pixel	PROPN
esrj-101556	123	21	position	position	NOUN
esrj-101556	123	22	(	(	PUNCT
esrj-101556	123	23	x	x	NOUN
esrj-101556	123	24	,	,	PUNCT
esrj-101556	123	25	y	y	NOUN
esrj-101556	123	26	)	)	PUNCT
esrj-101556	123	27	amp	amp	NOUN
esrj-101556	123	28	–	–	PUNCT
esrj-101556	123	29	amplitude	amplitude	NOUN
esrj-101556	123	30	ω	ω	NOUN
esrj-101556	123	31	frequency	frequency	NOUN
esrj-101556	123	32	(	(	PUNCT
esrj-101556	123	33	one	one	NUM
esrj-101556	123	34	cycle	cycle	NOUN
esrj-101556	123	35	sinusoids	sinusoid	NOUN
esrj-101556	123	36	;	;	PUNCT
esrj-101556	123	37	ω	ω	PROPN
esrj-101556	123	38	=	=	SYM
esrj-101556	123	39	1	1	NUM
esrj-101556	123	40	)	)	PUNCT
esrj-101556	123	41	θ	θ	NOUN
esrj-101556	123	42	–	–	PUNCT
esrj-101556	123	43	phase	phase	NOUN
esrj-101556	123	44	y0	y0	NOUN
esrj-101556	123	45	–	–	PUNCT
esrj-101556	123	46	depth	depth	NOUN
esrj-101556	123	47	after	after	ADP
esrj-101556	123	48	denoising	denoise	VERB
esrj-101556	123	49	processing	processing	NOUN
esrj-101556	123	50	in	in	ADP
esrj-101556	123	51	stage	stage	NOUN
esrj-101556	123	52	2	2	NUM
esrj-101556	123	53	,	,	PUNCT
esrj-101556	123	54	this	this	DET
esrj-101556	123	55	stage	stage	NOUN
esrj-101556	123	56	continues	continue	VERB
esrj-101556	123	57	with	with	ADP
esrj-101556	123	58	the	the	DET
esrj-101556	123	59	generation	generation	NOUN
esrj-101556	123	60	of	of	ADP
esrj-101556	123	61	two	two	NUM
esrj-101556	123	62	equal	equal	ADJ
esrj-101556	123	63	-	-	PUNCT
esrj-101556	123	64	size	size	NOUN
esrj-101556	123	65	images	image	NOUN
esrj-101556	123	66	from	from	ADP
esrj-101556	123	67	the	the	DET
esrj-101556	123	68	edge	edge	NOUN
esrj-101556	123	69	map	map	NOUN
esrj-101556	123	70	.	.	PUNCT
esrj-101556	124	1	the	the	DET
esrj-101556	124	2	first	first	ADJ
esrj-101556	124	3	image	image	NOUN
esrj-101556	124	4	can	can	AUX
esrj-101556	124	5	be	be	AUX
esrj-101556	124	6	created	create	VERB
esrj-101556	124	7	from	from	ADP
esrj-101556	124	8	the	the	DET
esrj-101556	124	9	left	left	ADJ
esrj-101556	124	10	side	side	NOUN
esrj-101556	124	11	of	of	ADP
esrj-101556	124	12	the	the	DET
esrj-101556	124	13	edge	edge	NOUN
esrj-101556	124	14	map	map	NOUN
esrj-101556	124	15	,	,	PUNCT
esrj-101556	124	16	having	have	VERB
esrj-101556	124	17	300	300	NUM
esrj-101556	124	18	pixels	pixel	NOUN
esrj-101556	124	19	long	long	ADV
esrj-101556	124	20	by	by	ADP
esrj-101556	124	21	180	180	NUM
esrj-101556	124	22	pixels	pixel	NOUN
esrj-101556	124	23	wide	wide	ADJ
esrj-101556	124	24	(	(	PUNCT
esrj-101556	124	25	from	from	ADP
esrj-101556	124	26	pixel	pixel	PROPN
esrj-101556	124	27	1	1	NUM
esrj-101556	124	28	to	to	PART
esrj-101556	124	29	pixel	pixel	VERB
esrj-101556	124	30	180	180	NUM
esrj-101556	124	31	)	)	PUNCT
esrj-101556	124	32	;	;	PUNCT
esrj-101556	124	33	the	the	DET
esrj-101556	124	34	second	second	ADJ
esrj-101556	124	35	image	image	NOUN
esrj-101556	124	36	has	have	VERB
esrj-101556	124	37	the	the	DET
esrj-101556	124	38	same	same	ADJ
esrj-101556	124	39	shape	shape	NOUN
esrj-101556	124	40	,	,	PUNCT
esrj-101556	124	41	but	but	CCONJ
esrj-101556	124	42	its	its	PRON
esrj-101556	124	43	width	width	NOUN
esrj-101556	124	44	goes	go	VERB
esrj-101556	124	45	from	from	ADP
esrj-101556	124	46	pixel	pixel	PROPN
esrj-101556	124	47	181	181	NUM
esrj-101556	124	48	to	to	PART
esrj-101556	124	49	pixel	pixel	VERB
esrj-101556	124	50	360	360	NUM
esrj-101556	124	51	.	.	PUNCT
esrj-101556	125	1	afterward	afterward	ADV
esrj-101556	125	2	,	,	PUNCT
esrj-101556	125	3	these	these	DET
esrj-101556	125	4	images	image	NOUN
esrj-101556	125	5	are	be	AUX
esrj-101556	125	6	added	add	VERB
esrj-101556	125	7	using	use	VERB
esrj-101556	125	8	a	a	DET
esrj-101556	125	9	function	function	NOUN
esrj-101556	125	10	for	for	ADP
esrj-101556	125	11	image	image	NOUN
esrj-101556	125	12	addition	addition	NOUN
esrj-101556	125	13	.	.	PUNCT
esrj-101556	126	1	the	the	DET
esrj-101556	126	2	bright	bright	ADJ
esrj-101556	126	3	spots	spot	NOUN
esrj-101556	126	4	in	in	ADP
esrj-101556	126	5	the	the	DET
esrj-101556	126	6	resulting	result	VERB
esrj-101556	126	7	image	image	NOUN
esrj-101556	126	8	are	be	AUX
esrj-101556	126	9	added	add	VERB
esrj-101556	126	10	at	at	ADP
esrj-101556	126	11	each	each	DET
esrj-101556	126	12	level	level	NOUN
esrj-101556	126	13	(	(	PUNCT
esrj-101556	126	14	i	i	PRON
esrj-101556	126	15	axis	axis	VERB
esrj-101556	126	16	)	)	PUNCT
esrj-101556	126	17	,	,	PUNCT
esrj-101556	126	18	and	and	CCONJ
esrj-101556	126	19	its	its	PRON
esrj-101556	126	20	values	value	NOUN
esrj-101556	126	21	are	be	AUX
esrj-101556	126	22	represented	represent	VERB
esrj-101556	126	23	as	as	ADP
esrj-101556	126	24	a	a	DET
esrj-101556	126	25	curve	curve	NOUN
esrj-101556	126	26	at	at	ADP
esrj-101556	126	27	the	the	DET
esrj-101556	126	28	left	left	ADJ
esrj-101556	126	29	side	side	NOUN
esrj-101556	126	30	of	of	ADP
esrj-101556	126	31	the	the	DET
esrj-101556	126	32	added	add	VERB
esrj-101556	126	33	image	image	NOUN
esrj-101556	126	34	(	(	PUNCT
esrj-101556	126	35	figure	figure	NOUN
esrj-101556	126	36	7	7	NUM
esrj-101556	126	37	g	g	NOUN
esrj-101556	126	38	)	)	PUNCT
esrj-101556	126	39	.	.	PUNCT
esrj-101556	127	1	the	the	DET
esrj-101556	127	2	spikes	spike	NOUN
esrj-101556	127	3	in	in	ADP
esrj-101556	127	4	this	this	DET
esrj-101556	127	5	curve	curve	NOUN
esrj-101556	127	6	are	be	AUX
esrj-101556	127	7	likely	likely	ADJ
esrj-101556	127	8	levels	level	NOUN
esrj-101556	127	9	where	where	SCONJ
esrj-101556	127	10	a	a	DET
esrj-101556	127	11	sinusoid	sinusoid	NOUN
esrj-101556	127	12	might	might	AUX
esrj-101556	127	13	be	be	AUX
esrj-101556	127	14	present	present	ADJ
esrj-101556	127	15	,	,	PUNCT
esrj-101556	127	16	and	and	CCONJ
esrj-101556	127	17	they	they	PRON
esrj-101556	127	18	can	can	AUX
esrj-101556	127	19	be	be	AUX
esrj-101556	127	20	considered	consider	VERB
esrj-101556	127	21	as	as	ADP
esrj-101556	127	22	likely	likely	ADJ
esrj-101556	127	23	“	"	PUNCT
esrj-101556	127	24	y0	y0	NOUN
esrj-101556	127	25	”	"	PUNCT
esrj-101556	127	26	values	value	NOUN
esrj-101556	127	27	in	in	ADP
esrj-101556	127	28	equation	equation	NOUN
esrj-101556	127	29	(	(	PUNCT
esrj-101556	127	30	4	4	NUM
esrj-101556	127	31	)	)	PUNCT
esrj-101556	127	32	.	.	PUNCT
esrj-101556	128	1	in	in	ADP
esrj-101556	128	2	the	the	DET
esrj-101556	128	3	second	second	ADJ
esrj-101556	128	4	step	step	NOUN
esrj-101556	128	5	of	of	ADP
esrj-101556	128	6	this	this	DET
esrj-101556	128	7	stage	stage	NOUN
esrj-101556	128	8	,	,	PUNCT
esrj-101556	128	9	the	the	DET
esrj-101556	128	10	sinusoid	sinusoid	ADJ
esrj-101556	128	11	phase	phase	NOUN
esrj-101556	128	12	(	(	PUNCT
esrj-101556	128	13	θ	θ	NOUN
esrj-101556	128	14	)	)	PUNCT
esrj-101556	128	15	must	must	AUX
esrj-101556	128	16	be	be	AUX
esrj-101556	128	17	determined	determine	VERB
esrj-101556	128	18	.	.	PUNCT
esrj-101556	129	1	to	to	PART
esrj-101556	129	2	compute	compute	VERB
esrj-101556	129	3	the	the	DET
esrj-101556	129	4	“	"	PUNCT
esrj-101556	129	5	θ	θ	NOUN
esrj-101556	129	6	”	"	PUNCT
esrj-101556	129	7	values	value	NOUN
esrj-101556	129	8	,	,	PUNCT
esrj-101556	129	9	each	each	DET
esrj-101556	129	10	likely	likely	ADJ
esrj-101556	129	11	“	"	PUNCT
esrj-101556	129	12	y0	y0	NOUN
esrj-101556	129	13	”	"	PUNCT
esrj-101556	129	14	level	level	NOUN
esrj-101556	129	15	must	must	AUX
esrj-101556	129	16	be	be	AUX
esrj-101556	129	17	analyzed	analyze	VERB
esrj-101556	129	18	using	use	VERB
esrj-101556	129	19	the	the	DET
esrj-101556	129	20	figure	figure	NOUN
esrj-101556	129	21	6f	6f	NUM
esrj-101556	129	22	.	.	PUNCT
esrj-101556	130	1	the	the	DET
esrj-101556	130	2	first	first	ADJ
esrj-101556	130	3	pixel	pixel	NOUN
esrj-101556	130	4	(	(	PUNCT
esrj-101556	130	5	≥	≥	NOUN
esrj-101556	130	6	1	1	NUM
esrj-101556	130	7	)	)	PUNCT
esrj-101556	130	8	from	from	ADP
esrj-101556	130	9	left	leave	VERB
esrj-101556	130	10	to	to	ADP
esrj-101556	130	11	right	right	ADV
esrj-101556	130	12	at	at	ADP
esrj-101556	130	13	a	a	DET
esrj-101556	130	14	position	position	NOUN
esrj-101556	130	15	(	(	PUNCT
esrj-101556	130	16	i	i	PROPN
esrj-101556	130	17	,	,	PUNCT
esrj-101556	130	18	j	j	PROPN
esrj-101556	130	19	)	)	PUNCT
esrj-101556	130	20	in	in	ADP
esrj-101556	130	21	each	each	DET
esrj-101556	130	22	likely	likely	ADJ
esrj-101556	130	23	“	"	PUNCT
esrj-101556	130	24	y0	y0	NOUN
esrj-101556	130	25	”	"	PUNCT
esrj-101556	130	26	level	level	NOUN
esrj-101556	130	27	,	,	PUNCT
esrj-101556	130	28	must	must	AUX
esrj-101556	130	29	have	have	VERB
esrj-101556	130	30	another	another	DET
esrj-101556	130	31	projected	project	VERB
esrj-101556	130	32	pixel	pixel	NOUN
esrj-101556	130	33	(	(	PUNCT
esrj-101556	130	34	≥	≥	NOUN
esrj-101556	130	35	1	1	NUM
esrj-101556	130	36	)	)	PUNCT
esrj-101556	130	37	at	at	ADP
esrj-101556	130	38	the	the	DET
esrj-101556	130	39	position	position	NOUN
esrj-101556	130	40	(	(	PUNCT
esrj-101556	130	41	i	i	PROPN
esrj-101556	130	42	,	,	PUNCT
esrj-101556	130	43	j+180	j+180	PROPN
esrj-101556	130	44	)	)	PUNCT
esrj-101556	130	45	.	.	PUNCT
esrj-101556	131	1	if	if	SCONJ
esrj-101556	131	2	this	this	DET
esrj-101556	131	3	condition	condition	NOUN
esrj-101556	131	4	is	be	AUX
esrj-101556	131	5	accomplished	accomplish	VERB
esrj-101556	131	6	,	,	PUNCT
esrj-101556	131	7	two	two	NUM
esrj-101556	131	8	square	square	ADJ
esrj-101556	131	9	regions	region	NOUN
esrj-101556	131	10	of	of	ADP
esrj-101556	131	11	10	10	NUM
esrj-101556	131	12	x	x	SYM
esrj-101556	131	13	10	10	NUM
esrj-101556	131	14	pixels	pixel	NOUN
esrj-101556	131	15	are	be	AUX
esrj-101556	131	16	inspected	inspect	VERB
esrj-101556	131	17	around	around	ADP
esrj-101556	131	18	the	the	DET
esrj-101556	131	19	points	point	NOUN
esrj-101556	131	20	(	(	PUNCT
esrj-101556	131	21	i	i	PROPN
esrj-101556	131	22	,	,	PUNCT
esrj-101556	131	23	j	j	PROPN
esrj-101556	131	24	)	)	PUNCT
esrj-101556	131	25	and	and	CCONJ
esrj-101556	131	26	(	(	PUNCT
esrj-101556	131	27	i	i	PROPN
esrj-101556	131	28	,	,	PUNCT
esrj-101556	131	29	j+180	j+180	PROPN
esrj-101556	131	30	)	)	PUNCT
esrj-101556	131	31	,	,	PUNCT
esrj-101556	131	32	respectively	respectively	ADV
esrj-101556	131	33	(	(	PUNCT
esrj-101556	131	34	figure	figure	NOUN
esrj-101556	131	35	7h	7h	NUM
esrj-101556	131	36	)	)	PUNCT
esrj-101556	131	37	.	.	PUNCT
esrj-101556	132	1	in	in	ADP
esrj-101556	132	2	each	each	DET
esrj-101556	132	3	square	square	ADJ
esrj-101556	132	4	region	region	NOUN
esrj-101556	132	5	,	,	PUNCT
esrj-101556	132	6	a	a	DET
esrj-101556	132	7	hough	hough	PROPN
esrj-101556	132	8	’s	’s	PART
esrj-101556	132	9	transform	transform	NOUN
esrj-101556	132	10	algorithm	algorithm	NOUN
esrj-101556	132	11	for	for	ADP
esrj-101556	132	12	line	line	NOUN
esrj-101556	132	13	detection	detection	NOUN
esrj-101556	132	14	is	be	AUX
esrj-101556	132	15	applied	apply	VERB
esrj-101556	132	16	,	,	PUNCT
esrj-101556	132	17	in	in	ADP
esrj-101556	132	18	which	which	PRON
esrj-101556	132	19	only	only	ADV
esrj-101556	132	20	“	"	PUNCT
esrj-101556	132	21	y0	y0	NOUN
esrj-101556	132	22	”	"	PUNCT
esrj-101556	132	23	levels	level	NOUN
esrj-101556	132	24	with	with	ADP
esrj-101556	132	25	slope	slope	NOUN
esrj-101556	132	26	combinations	combination	NOUN
esrj-101556	132	27	(	(	PUNCT
esrj-101556	132	28	+	+	ADJ
esrj-101556	132	29	,	,	PUNCT
esrj-101556	132	30	-	-	PUNCT
esrj-101556	132	31	)	)	PUNCT
esrj-101556	132	32	and	and	CCONJ
esrj-101556	132	33	(	(	PUNCT
esrj-101556	132	34	-	-	INTJ
esrj-101556	132	35	,	,	PUNCT
esrj-101556	132	36	+	+	NOUN
esrj-101556	132	37	)	)	PUNCT
esrj-101556	132	38	are	be	AUX
esrj-101556	132	39	considered	consider	VERB
esrj-101556	132	40	as	as	ADP
esrj-101556	132	41	potential	potential	ADJ
esrj-101556	132	42	level	level	NOUN
esrj-101556	132	43	with	with	ADP
esrj-101556	132	44	a	a	DET
esrj-101556	132	45	sinusoid	sinusoid	NOUN
esrj-101556	132	46	.	.	PUNCT
esrj-101556	133	1	the	the	DET
esrj-101556	133	2	“	"	PUNCT
esrj-101556	133	3	j	j	NOUN
esrj-101556	133	4	”	"	PUNCT
esrj-101556	133	5	or	or	CCONJ
esrj-101556	133	6	“	"	PUNCT
esrj-101556	133	7	j+180	j+180	PROPN
esrj-101556	133	8	”	"	PUNCT
esrj-101556	133	9	coordinate	coordinate	NOUN
esrj-101556	133	10	at	at	ADP
esrj-101556	133	11	each	each	DET
esrj-101556	133	12	potential	potential	ADJ
esrj-101556	133	13	“	"	PUNCT
esrj-101556	133	14	y0	y0	NOUN
esrj-101556	133	15	”	"	PUNCT
esrj-101556	133	16	,	,	PUNCT
esrj-101556	133	17	in	in	ADP
esrj-101556	133	18	the	the	DET
esrj-101556	133	19	points	point	NOUN
esrj-101556	133	20	(	(	PUNCT
esrj-101556	133	21	i	i	PROPN
esrj-101556	133	22	,	,	PUNCT
esrj-101556	133	23	j	j	PROPN
esrj-101556	133	24	)	)	PUNCT
esrj-101556	133	25	or	or	CCONJ
esrj-101556	133	26	(	(	PUNCT
esrj-101556	133	27	i	i	PROPN
esrj-101556	133	28	,	,	PUNCT
esrj-101556	133	29	j+180	j+180	PROPN
esrj-101556	133	30	)	)	PUNCT
esrj-101556	133	31	,	,	PUNCT
esrj-101556	133	32	will	will	AUX
esrj-101556	133	33	be	be	AUX
esrj-101556	133	34	the	the	DET
esrj-101556	133	35	phase	phase	NOUN
esrj-101556	133	36	(	(	PUNCT
esrj-101556	133	37	θ	θ	NOUN
esrj-101556	133	38	)	)	PUNCT
esrj-101556	133	39	of	of	ADP
esrj-101556	133	40	that	that	DET
esrj-101556	133	41	sinusoid	sinusoid	NOUN
esrj-101556	133	42	if	if	SCONJ
esrj-101556	133	43	the	the	DET
esrj-101556	133	44	square	square	ADJ
esrj-101556	133	45	region	region	NOUN
esrj-101556	133	46	at	at	ADP
esrj-101556	133	47	that	that	DET
esrj-101556	133	48	point	point	NOUN
esrj-101556	133	49	has	have	VERB
esrj-101556	133	50	a	a	DET
esrj-101556	133	51	line	line	NOUN
esrj-101556	133	52	with	with	ADP
esrj-101556	133	53	positive	positive	ADJ
esrj-101556	133	54	slope	slope	NOUN
esrj-101556	133	55	(	(	PUNCT
esrj-101556	133	56	figure	figure	NOUN
esrj-101556	133	57	7h	7h	NUM
esrj-101556	133	58	)	)	PUNCT
esrj-101556	133	59	.	.	PUNCT
esrj-101556	134	1	the	the	DET
esrj-101556	134	2	hough	hough	PROPN
esrj-101556	134	3	’s	’s	PART
esrj-101556	134	4	transform	transform	NOUN
esrj-101556	134	5	is	be	AUX
esrj-101556	134	6	a	a	DET
esrj-101556	134	7	feature	feature	NOUN
esrj-101556	134	8	extraction	extraction	NOUN
esrj-101556	134	9	technique	technique	NOUN
esrj-101556	134	10	used	use	VERB
esrj-101556	134	11	in	in	ADP
esrj-101556	134	12	image	image	NOUN
esrj-101556	134	13	analysis	analysis	NOUN
esrj-101556	134	14	,	,	PUNCT
esrj-101556	134	15	computer	computer	NOUN
esrj-101556	134	16	vision	vision	NOUN
esrj-101556	134	17	,	,	PUNCT
esrj-101556	134	18	and	and	CCONJ
esrj-101556	134	19	digital	digital	ADJ
esrj-101556	134	20	image	image	NOUN
esrj-101556	134	21	processing	processing	NOUN
esrj-101556	134	22	.	.	PUNCT
esrj-101556	135	1	the	the	DET
esrj-101556	135	2	purpose	purpose	NOUN
esrj-101556	135	3	of	of	ADP
esrj-101556	135	4	the	the	DET
esrj-101556	135	5	technique	technique	NOUN
esrj-101556	135	6	is	be	AUX
esrj-101556	135	7	to	to	PART
esrj-101556	135	8	find	find	VERB
esrj-101556	135	9	perfect	perfect	ADJ
esrj-101556	135	10	or	or	CCONJ
esrj-101556	135	11	imperfect	imperfect	ADJ
esrj-101556	135	12	instances	instance	NOUN
esrj-101556	135	13	of	of	ADP
esrj-101556	135	14	objects	object	NOUN
esrj-101556	135	15	within	within	ADP
esrj-101556	135	16	a	a	DET
esrj-101556	135	17	certain	certain	ADJ
esrj-101556	135	18	class	class	NOUN
esrj-101556	135	19	of	of	ADP
esrj-101556	135	20	shapes	shape	NOUN
esrj-101556	135	21	by	by	ADP
esrj-101556	135	22	a	a	DET
esrj-101556	135	23	voting	voting	NOUN
esrj-101556	135	24	procedure	procedure	NOUN
esrj-101556	135	25	.	.	PUNCT
esrj-101556	136	1	this	this	DET
esrj-101556	136	2	voting	voting	NOUN
esrj-101556	136	3	procedure	procedure	NOUN
esrj-101556	136	4	is	be	AUX
esrj-101556	136	5	carried	carry	VERB
esrj-101556	136	6	out	out	ADP
esrj-101556	136	7	in	in	ADP
esrj-101556	136	8	a	a	DET
esrj-101556	136	9	parameter	parameter	NOUN
esrj-101556	136	10	space	space	NOUN
esrj-101556	136	11	,	,	PUNCT
esrj-101556	136	12	from	from	ADP
esrj-101556	136	13	which	which	DET
esrj-101556	136	14	object	object	NOUN
esrj-101556	136	15	candidates	candidate	NOUN
esrj-101556	136	16	are	be	AUX
esrj-101556	136	17	obtained	obtain	VERB
esrj-101556	136	18	as	as	ADP
esrj-101556	136	19	local	local	ADJ
esrj-101556	136	20	maximum	maximum	NOUN
esrj-101556	136	21	in	in	ADP
esrj-101556	136	22	a	a	DET
esrj-101556	136	23	so	so	ADV
esrj-101556	136	24	-	-	PUNCT
esrj-101556	136	25	called	call	VERB
esrj-101556	136	26	accumulator	accumulator	NOUN
esrj-101556	136	27	space	space	NOUN
esrj-101556	136	28	that	that	PRON
esrj-101556	136	29	is	be	AUX
esrj-101556	136	30	explicitly	explicitly	ADV
esrj-101556	136	31	constructed	construct	VERB
esrj-101556	136	32	by	by	ADP
esrj-101556	136	33	the	the	DET
esrj-101556	136	34	algorithm	algorithm	NOUN
esrj-101556	136	35	(	(	PUNCT
esrj-101556	136	36	shapiro	shapiro	NOUN
esrj-101556	136	37	and	and	CCONJ
esrj-101556	136	38	stockman	stockman	NOUN
esrj-101556	136	39	,	,	PUNCT
esrj-101556	136	40	2001	2001	NUM
esrj-101556	136	41	)	)	PUNCT
esrj-101556	136	42	.	.	PUNCT
esrj-101556	137	1	the	the	DET
esrj-101556	137	2	basic	basic	ADJ
esrj-101556	137	3	hough	hough	PROPN
esrj-101556	137	4	’s	’s	PART
esrj-101556	137	5	transform	transform	NOUN
esrj-101556	137	6	is	be	AUX
esrj-101556	137	7	typically	typically	ADV
esrj-101556	137	8	applied	apply	VERB
esrj-101556	137	9	to	to	PART
esrj-101556	137	10	identify	identify	VERB
esrj-101556	137	11	parameterized	parameterized	ADJ
esrj-101556	137	12	curves	curve	NOUN
esrj-101556	137	13	,	,	PUNCT
esrj-101556	137	14	such	such	ADJ
esrj-101556	137	15	as	as	ADP
esrj-101556	137	16	lines	line	NOUN
esrj-101556	137	17	,	,	PUNCT
esrj-101556	137	18	circles	circle	NOUN
esrj-101556	137	19	,	,	PUNCT
esrj-101556	137	20	ellipses	ellipsis	NOUN
esrj-101556	137	21	,	,	PUNCT
esrj-101556	137	22	parabolas	parabola	NOUN
esrj-101556	137	23	,	,	PUNCT
esrj-101556	137	24	or	or	CCONJ
esrj-101556	137	25	other	other	ADJ
esrj-101556	137	26	parameterized	parameterized	ADJ
esrj-101556	137	27	shapes	shape	NOUN
esrj-101556	137	28	.	.	PUNCT
esrj-101556	138	1	in	in	ADP
esrj-101556	138	2	this	this	DET
esrj-101556	138	3	step	step	NOUN
esrj-101556	138	4	it	it	PRON
esrj-101556	138	5	was	be	AUX
esrj-101556	138	6	applied	apply	VERB
esrj-101556	138	7	in	in	ADP
esrj-101556	138	8	its	its	PRON
esrj-101556	138	9	simplest	simple	ADJ
esrj-101556	138	10	form	form	NOUN
esrj-101556	138	11	to	to	PART
esrj-101556	138	12	detect	detect	VERB
esrj-101556	138	13	line	line	NOUN
esrj-101556	138	14	-	-	PUNCT
esrj-101556	138	15	shape	shape	NOUN
esrj-101556	138	16	objects	object	NOUN
esrj-101556	138	17	in	in	ADP
esrj-101556	138	18	the	the	DET
esrj-101556	138	19	10	10	NUM
esrj-101556	138	20	x	x	SYM
esrj-101556	138	21	10	10	NUM
esrj-101556	138	22	pixels	pixel	NOUN
esrj-101556	138	23	regions	region	NOUN
esrj-101556	138	24	.	.	PUNCT
esrj-101556	139	1	at	at	ADP
esrj-101556	139	2	this	this	DET
esrj-101556	139	3	point	point	NOUN
esrj-101556	139	4	,	,	PUNCT
esrj-101556	139	5	the	the	DET
esrj-101556	139	6	“	"	PUNCT
esrj-101556	139	7	y0	y0	NOUN
esrj-101556	139	8	”	"	PUNCT
esrj-101556	139	9	depth	depth	NOUN
esrj-101556	139	10	and	and	CCONJ
esrj-101556	139	11	the	the	DET
esrj-101556	139	12	phase	phase	NOUN
esrj-101556	139	13	“	"	PUNCT
esrj-101556	139	14	θ	θ	PROPN
esrj-101556	139	15	”	"	PUNCT
esrj-101556	139	16	of	of	ADP
esrj-101556	139	17	equation	equation	NOUN
esrj-101556	139	18	(	(	PUNCT
esrj-101556	139	19	4	4	X
esrj-101556	139	20	)	)	PUNCT
esrj-101556	139	21	are	be	AUX
esrj-101556	139	22	already	already	ADV
esrj-101556	139	23	calculated	calculate	VERB
esrj-101556	139	24	for	for	ADP
esrj-101556	139	25	each	each	DET
esrj-101556	139	26	detected	detect	VERB
esrj-101556	139	27	level	level	NOUN
esrj-101556	139	28	with	with	ADP
esrj-101556	139	29	a	a	DET
esrj-101556	139	30	sinusoid	sinusoid	NOUN
esrj-101556	139	31	.	.	PUNCT
esrj-101556	140	1	next	next	ADV
esrj-101556	140	2	,	,	PUNCT
esrj-101556	140	3	the	the	DET
esrj-101556	140	4	basic	basic	ADJ
esrj-101556	140	5	hough	hough	PROPN
esrj-101556	140	6	’s	’s	PART
esrj-101556	140	7	transform	transform	NOUN
esrj-101556	140	8	employed	employ	VERB
esrj-101556	140	9	to	to	PART
esrj-101556	140	10	recognize	recognize	VERB
esrj-101556	140	11	lines	line	NOUN
esrj-101556	140	12	was	be	AUX
esrj-101556	140	13	edited	edit	VERB
esrj-101556	140	14	to	to	PART
esrj-101556	140	15	detect	detect	VERB
esrj-101556	140	16	one	one	NUM
esrj-101556	140	17	-	-	PUNCT
esrj-101556	140	18	cycle	cycle	NOUN
esrj-101556	140	19	sinusoidal	sinusoidal	NOUN
esrj-101556	140	20	objects	object	VERB
esrj-101556	140	21	.	.	PUNCT
esrj-101556	141	1	in	in	ADP
esrj-101556	141	2	the	the	DET
esrj-101556	141	3	final	final	ADJ
esrj-101556	141	4	step	step	NOUN
esrj-101556	141	5	of	of	ADP
esrj-101556	141	6	this	this	DET
esrj-101556	141	7	stage	stage	NOUN
esrj-101556	141	8	,	,	PUNCT
esrj-101556	141	9	all	all	PRON
esrj-101556	141	10	detected	detect	VERB
esrj-101556	141	11	“	"	PUNCT
esrj-101556	141	12	y0	y0	NOUN
esrj-101556	141	13	”	"	PUNCT
esrj-101556	141	14	and	and	CCONJ
esrj-101556	141	15	“	"	PUNCT
esrj-101556	141	16	θ	θ	PROPN
esrj-101556	141	17	”	"	PUNCT
esrj-101556	141	18	were	be	AUX
esrj-101556	141	19	arranged	arrange	VERB
esrj-101556	141	20	in	in	ADP
esrj-101556	141	21	a	a	DET
esrj-101556	141	22	list	list	NOUN
esrj-101556	141	23	of	of	ADP
esrj-101556	141	24	dictionaries	dictionary	NOUN
esrj-101556	141	25	with	with	ADP
esrj-101556	141	26	form	form	NOUN
esrj-101556	141	27	:	:	PUNCT
esrj-101556	141	28	[	[	X
esrj-101556	141	29	{	{	PUNCT
esrj-101556	141	30	y1	y1	NOUN
esrj-101556	141	31	:	:	PUNCT
esrj-101556	141	32	θ1	θ1	NOUN
esrj-101556	141	33	}	}	PUNCT
esrj-101556	141	34	,	,	PUNCT
esrj-101556	141	35	{	{	PUNCT
esrj-101556	141	36	y2	y2	NOUN
esrj-101556	141	37	:	:	PUNCT
esrj-101556	141	38	θ2	θ2	PROPN
esrj-101556	141	39	}	}	PUNCT
esrj-101556	141	40	,	,	PUNCT
esrj-101556	141	41	{	{	PUNCT
esrj-101556	141	42	y3	y3	NOUN
esrj-101556	141	43	:	:	PUNCT
esrj-101556	141	44	θ3	θ3	NOUN
esrj-101556	141	45	]	]	PUNCT
esrj-101556	141	46	}	}	PUNCT
esrj-101556	141	47	…	…	PUNCT
esrj-101556	141	48	{	{	PUNCT
esrj-101556	141	49	yn	yn	NOUN
esrj-101556	141	50	:	:	PUNCT
esrj-101556	141	51	θn	θn	NOUN
esrj-101556	141	52	}	}	PUNCT
esrj-101556	141	53	]	]	PUNCT
esrj-101556	141	54	,	,	PUNCT
esrj-101556	141	55	and	and	CCONJ
esrj-101556	141	56	figure	figure	VERB
esrj-101556	141	57	6	6	NUM
esrj-101556	141	58	.	.	PUNCT
esrj-101556	141	59	computer	computer	NOUN
esrj-101556	141	60	vision	vision	NOUN
esrj-101556	141	61	.	.	PUNCT
esrj-101556	142	1	processing	processing	NOUN
esrj-101556	142	2	in	in	ADP
esrj-101556	142	3	the	the	DET
esrj-101556	142	4	stage	stage	NOUN
esrj-101556	142	5	–	–	PUNCT
esrj-101556	142	6	2	2	NUM
esrj-101556	142	7	(	(	PUNCT
esrj-101556	142	8	edge	edge	NOUN
esrj-101556	142	9	detection	detection	NOUN
esrj-101556	142	10	)	)	PUNCT
esrj-101556	142	11	.	.	PUNCT
esrj-101556	143	1	figure	figure	VERB
esrj-101556	143	2	7	7	NUM
esrj-101556	143	3	.	.	PUNCT
esrj-101556	143	4	computer	computer	NOUN
esrj-101556	143	5	vision	vision	NOUN
esrj-101556	143	6	.	.	PUNCT
esrj-101556	144	1	processing	processing	NOUN
esrj-101556	144	2	in	in	ADP
esrj-101556	144	3	the	the	DET
esrj-101556	144	4	stage	stage	NOUN
esrj-101556	144	5	–	–	PUNCT
esrj-101556	144	6	3	3	NUM
esrj-101556	144	7	(	(	PUNCT
esrj-101556	144	8	sinusoid	sinusoid	ADJ
esrj-101556	144	9	detection	detection	NOUN
esrj-101556	144	10	)	)	PUNCT
esrj-101556	144	11	.	.	PUNCT
esrj-101556	145	1	145computer	145computer	ADJ
esrj-101556	145	2	vision	vision	NOUN
esrj-101556	145	3	techniques	technique	NOUN
esrj-101556	145	4	applied	apply	VERB
esrj-101556	145	5	to	to	ADP
esrj-101556	145	6	automatic	automatic	ADJ
esrj-101556	145	7	detection	detection	NOUN
esrj-101556	145	8	of	of	ADP
esrj-101556	145	9	sinusoids	sinusoid	NOUN
esrj-101556	145	10	in	in	ADP
esrj-101556	145	11	borehole	borehole	NOUN
esrj-101556	145	12	resistivity	resistivity	NOUN
esrj-101556	145	13	imaging	imaging	NOUN
esrj-101556	145	14	–	–	PUNCT
esrj-101556	145	15	a	a	DET
esrj-101556	145	16	comparison	comparison	NOUN
esrj-101556	145	17	with	with	ADP
esrj-101556	145	18	the	the	DET
esrj-101556	145	19	msd	msd	NOUN
esrj-101556	145	20	method	method	NOUN
esrj-101556	145	21	the	the	DET
esrj-101556	145	22	hough	hough	PROPN
esrj-101556	145	23	’s	’s	PART
esrj-101556	145	24	transform	transform	NOUN
esrj-101556	145	25	for	for	ADP
esrj-101556	145	26	sinusoids	sinusoid	NOUN
esrj-101556	145	27	detection	detection	NOUN
esrj-101556	145	28	was	be	AUX
esrj-101556	145	29	applied	apply	VERB
esrj-101556	145	30	using	use	VERB
esrj-101556	145	31	this	this	DET
esrj-101556	145	32	list	list	NOUN
esrj-101556	145	33	to	to	ADP
esrj-101556	145	34	the	the	DET
esrj-101556	145	35	figure	figure	NOUN
esrj-101556	145	36	6f	6f	NUM
esrj-101556	145	37	.	.	PUNCT
esrj-101556	146	1	in	in	ADP
esrj-101556	146	2	order	order	NOUN
esrj-101556	146	3	to	to	PART
esrj-101556	146	4	detect	detect	VERB
esrj-101556	146	5	sinusoids	sinusoid	NOUN
esrj-101556	146	6	in	in	ADP
esrj-101556	146	7	the	the	DET
esrj-101556	146	8	image	image	NOUN
esrj-101556	146	9	,	,	PUNCT
esrj-101556	146	10	the	the	DET
esrj-101556	146	11	hough	hough	PROPN
esrj-101556	146	12	’s	’s	PART
esrj-101556	146	13	transform	transform	NOUN
esrj-101556	146	14	uses	use	VERB
esrj-101556	146	15	an	an	DET
esrj-101556	146	16	accumulator	accumulator	NOUN
esrj-101556	146	17	matrix	matrix	NOUN
esrj-101556	146	18	of	of	ADP
esrj-101556	146	19	two	two	NUM
esrj-101556	146	20	dimensions	dimension	NOUN
esrj-101556	146	21	(	(	PUNCT
esrj-101556	146	22	amp	amp	PROPN
esrj-101556	146	23	,	,	PUNCT
esrj-101556	146	24	θ	θ	PROPN
esrj-101556	146	25	)	)	PUNCT
esrj-101556	146	26	.	.	PUNCT
esrj-101556	147	1	the	the	DET
esrj-101556	147	2	sinusoidal	sinusoidal	ADJ
esrj-101556	147	3	candidates	candidate	NOUN
esrj-101556	147	4	are	be	AUX
esrj-101556	147	5	produced	produce	VERB
esrj-101556	147	6	by	by	ADP
esrj-101556	147	7	voting	vote	VERB
esrj-101556	147	8	in	in	ADP
esrj-101556	147	9	the	the	DET
esrj-101556	147	10	hough	hough	PROPN
esrj-101556	147	11	space	space	NOUN
esrj-101556	147	12	,	,	PUNCT
esrj-101556	147	13	in	in	ADP
esrj-101556	147	14	which	which	PRON
esrj-101556	147	15	high	high	ADJ
esrj-101556	147	16	-	-	PUNCT
esrj-101556	147	17	voted	vote	VERB
esrj-101556	147	18	candidates	candidate	NOUN
esrj-101556	147	19	have	have	VERB
esrj-101556	147	20	local	local	ADJ
esrj-101556	147	21	maxima	maxima	NOUN
esrj-101556	147	22	in	in	ADP
esrj-101556	147	23	the	the	DET
esrj-101556	147	24	accumulator	accumulator	NOUN
esrj-101556	147	25	matrix	matrix	NOUN
esrj-101556	147	26	.	.	PUNCT
esrj-101556	148	1	the	the	DET
esrj-101556	148	2	algorithm	algorithm	NOUN
esrj-101556	148	3	scans	scan	VERB
esrj-101556	148	4	through	through	ADP
esrj-101556	148	5	the	the	DET
esrj-101556	148	6	image	image	NOUN
esrj-101556	148	7	,	,	PUNCT
esrj-101556	148	8	and	and	CCONJ
esrj-101556	148	9	if	if	SCONJ
esrj-101556	148	10	an	an	DET
esrj-101556	148	11	edge	edge	NOUN
esrj-101556	148	12	point	point	NOUN
esrj-101556	148	13	is	be	AUX
esrj-101556	148	14	found	find	VERB
esrj-101556	148	15	,	,	PUNCT
esrj-101556	148	16	the	the	DET
esrj-101556	148	17	sine	sine	ADJ
esrj-101556	148	18	equation	equation	NOUN
esrj-101556	148	19	is	be	AUX
esrj-101556	148	20	solved	solve	VERB
esrj-101556	148	21	for	for	ADP
esrj-101556	148	22	the	the	DET
esrj-101556	148	23	amplitude	amplitude	NOUN
esrj-101556	148	24	,	,	PUNCT
esrj-101556	148	25	using	use	VERB
esrj-101556	148	26	all	all	DET
esrj-101556	148	27	combinations	combination	NOUN
esrj-101556	148	28	of	of	ADP
esrj-101556	148	29	“	"	PUNCT
esrj-101556	148	30	yn	yn	PROPN
esrj-101556	148	31	”	"	PUNCT
esrj-101556	148	32	and	and	CCONJ
esrj-101556	148	33	“	"	PUNCT
esrj-101556	148	34	θn	θn	NOUN
esrj-101556	148	35	”	"	PUNCT
esrj-101556	148	36	in	in	ADP
esrj-101556	148	37	the	the	DET
esrj-101556	148	38	list	list	NOUN
esrj-101556	148	39	of	of	ADP
esrj-101556	148	40	dictionaries	dictionary	NOUN
esrj-101556	148	41	,	,	PUNCT
esrj-101556	148	42	equation	equation	NOUN
esrj-101556	148	43	(	(	PUNCT
esrj-101556	148	44	6	6	NUM
esrj-101556	148	45	)	)	PUNCT
esrj-101556	148	46	.	.	PUNCT
esrj-101556	149	1	(	(	PUNCT
esrj-101556	149	2	6	6	X
esrj-101556	149	3	)	)	PUNCT
esrj-101556	149	4	the	the	DET
esrj-101556	149	5	algorithm	algorithm	NOUN
esrj-101556	149	6	fits	fit	VERB
esrj-101556	149	7	the	the	DET
esrj-101556	149	8	equation	equation	NOUN
esrj-101556	149	9	(	(	PUNCT
esrj-101556	149	10	6	6	NUM
esrj-101556	149	11	)	)	PUNCT
esrj-101556	149	12	to	to	ADP
esrj-101556	149	13	each	each	DET
esrj-101556	149	14	edge	edge	NOUN
esrj-101556	149	15	in	in	ADP
esrj-101556	149	16	the	the	DET
esrj-101556	149	17	image	image	NOUN
esrj-101556	149	18	,	,	PUNCT
esrj-101556	149	19	and	and	CCONJ
esrj-101556	149	20	when	when	SCONJ
esrj-101556	149	21	a	a	DET
esrj-101556	149	22	sinusoid	sinusoid	NOUN
esrj-101556	149	23	is	be	AUX
esrj-101556	149	24	found	find	VERB
esrj-101556	149	25	,	,	PUNCT
esrj-101556	149	26	the	the	DET
esrj-101556	149	27	accumulator	accumulator	NOUN
esrj-101556	149	28	increase	increase	NOUN
esrj-101556	149	29	at	at	ADP
esrj-101556	149	30	that	that	DET
esrj-101556	149	31	point	point	NOUN
esrj-101556	149	32	(	(	PUNCT
esrj-101556	149	33	amp	amp	PROPN
esrj-101556	149	34	,	,	PUNCT
esrj-101556	149	35	θ	θ	PROPN
esrj-101556	149	36	)	)	PUNCT
esrj-101556	149	37	;	;	PUNCT
esrj-101556	149	38	consecutively	consecutively	ADV
esrj-101556	149	39	,	,	PUNCT
esrj-101556	149	40	the	the	DET
esrj-101556	149	41	algorithm	algorithm	NOUN
esrj-101556	149	42	passes	pass	VERB
esrj-101556	149	43	to	to	ADP
esrj-101556	149	44	another	another	DET
esrj-101556	149	45	white	white	ADJ
esrj-101556	149	46	pixel	pixel	PROPN
esrj-101556	149	47	saving	save	VERB
esrj-101556	149	48	all	all	DET
esrj-101556	149	49	results	result	NOUN
esrj-101556	149	50	.	.	PUNCT
esrj-101556	150	1	figure	figure	NOUN
esrj-101556	150	2	7i	7i	PROPN
esrj-101556	150	3	shows	show	VERB
esrj-101556	150	4	unfiltered	unfiltered	ADJ
esrj-101556	150	5	sinusoids	sinusoid	NOUN
esrj-101556	150	6	detected	detect	VERB
esrj-101556	150	7	until	until	ADP
esrj-101556	150	8	this	this	DET
esrj-101556	150	9	stage	stage	NOUN
esrj-101556	150	10	.	.	PUNCT
esrj-101556	151	1	4.4	4.4	NUM
esrj-101556	151	2	stage	stage	NOUN
esrj-101556	151	3	4	4	NUM
esrj-101556	151	4	–	–	PUNCT
esrj-101556	151	5	final	final	ADJ
esrj-101556	151	6	image	image	NOUN
esrj-101556	151	7	after	after	SCONJ
esrj-101556	151	8	hough	hough	PROPN
esrj-101556	151	9	’s	’s	PART
esrj-101556	151	10	transform	transform	NOUN
esrj-101556	151	11	is	be	AUX
esrj-101556	151	12	solved	solve	VERB
esrj-101556	151	13	for	for	ADP
esrj-101556	151	14	the	the	DET
esrj-101556	151	15	equation	equation	NOUN
esrj-101556	151	16	(	(	PUNCT
esrj-101556	151	17	6	6	NUM
esrj-101556	151	18	)	)	PUNCT
esrj-101556	151	19	,	,	PUNCT
esrj-101556	151	20	unsupervised	unsupervised	ADJ
esrj-101556	151	21	machine	machine	NOUN
esrj-101556	151	22	learning	learning	NOUN
esrj-101556	151	23	techniques	technique	NOUN
esrj-101556	151	24	are	be	AUX
esrj-101556	151	25	applied	apply	VERB
esrj-101556	151	26	to	to	ADP
esrj-101556	151	27	filtrate	filtrate	ADJ
esrj-101556	151	28	multiple	multiple	ADJ
esrj-101556	151	29	detected	detect	VERB
esrj-101556	151	30	sinusoids	sinusoid	NOUN
esrj-101556	151	31	related	relate	VERB
esrj-101556	151	32	to	to	ADP
esrj-101556	151	33	the	the	DET
esrj-101556	151	34	same	same	ADJ
esrj-101556	151	35	geologic	geologic	ADJ
esrj-101556	151	36	feature	feature	NOUN
esrj-101556	151	37	.	.	PUNCT
esrj-101556	152	1	the	the	DET
esrj-101556	152	2	density	density	NOUN
esrj-101556	152	3	-	-	PUNCT
esrj-101556	152	4	based	base	VERB
esrj-101556	152	5	spatial	spatial	ADJ
esrj-101556	152	6	clustering	clustering	NOUN
esrj-101556	152	7	of	of	ADP
esrj-101556	152	8	applications	application	NOUN
esrj-101556	152	9	with	with	ADP
esrj-101556	152	10	noise	noise	NOUN
esrj-101556	152	11	(	(	PUNCT
esrj-101556	152	12	dbscan	dbscan	NOUN
esrj-101556	152	13	)	)	PUNCT
esrj-101556	152	14	and	and	CCONJ
esrj-101556	152	15	k	k	X
esrj-101556	152	16	-	-	PUNCT
esrj-101556	152	17	means	mean	VERB
esrj-101556	152	18	clustering	clustering	NOUN
esrj-101556	152	19	are	be	AUX
esrj-101556	152	20	applied	apply	VERB
esrj-101556	152	21	.	.	PUNCT
esrj-101556	153	1	these	these	DET
esrj-101556	153	2	steps	step	NOUN
esrj-101556	153	3	remove	remove	VERB
esrj-101556	153	4	duplicate	duplicate	ADJ
esrj-101556	153	5	sinusoids	sinusoid	NOUN
esrj-101556	153	6	related	relate	VERB
esrj-101556	153	7	to	to	ADP
esrj-101556	153	8	equal	equal	ADJ
esrj-101556	153	9	geological	geological	ADJ
esrj-101556	153	10	planes	plane	NOUN
esrj-101556	153	11	at	at	ADP
esrj-101556	153	12	the	the	DET
esrj-101556	153	13	same	same	ADJ
esrj-101556	153	14	depth	depth	NOUN
esrj-101556	153	15	(	(	PUNCT
esrj-101556	153	16	y0	y0	NOUN
esrj-101556	153	17	)	)	PUNCT
esrj-101556	153	18	.	.	PUNCT
esrj-101556	154	1	it	it	PRON
esrj-101556	154	2	is	be	AUX
esrj-101556	154	3	important	important	ADJ
esrj-101556	154	4	to	to	PART
esrj-101556	154	5	notice	notice	VERB
esrj-101556	154	6	that	that	SCONJ
esrj-101556	154	7	sinusoid	sinusoid	ADJ
esrj-101556	154	8	parameters	parameter	NOUN
esrj-101556	154	9	are	be	AUX
esrj-101556	154	10	arranged	arrange	VERB
esrj-101556	154	11	in	in	ADP
esrj-101556	154	12	a	a	DET
esrj-101556	154	13	three	three	NUM
esrj-101556	154	14	-	-	PUNCT
esrj-101556	154	15	dimensional	dimensional	ADJ
esrj-101556	154	16	array	array	NOUN
esrj-101556	154	17	with	with	ADP
esrj-101556	154	18	shape	shape	NOUN
esrj-101556	154	19	:	:	PUNCT
esrj-101556	154	20	[	[	X
esrj-101556	154	21	amp	amp	X
esrj-101556	154	22	,	,	PUNCT
esrj-101556	154	23	θ	θ	PROPN
esrj-101556	154	24	,	,	PUNCT
esrj-101556	154	25	y0	y0	PROPN
esrj-101556	154	26	]	]	PUNCT
esrj-101556	154	27	.	.	PUNCT
esrj-101556	155	1	the	the	DET
esrj-101556	155	2	dbscan	dbscan	PROPN
esrj-101556	155	3	method	method	NOUN
esrj-101556	155	4	is	be	AUX
esrj-101556	155	5	applied	apply	VERB
esrj-101556	155	6	to	to	PART
esrj-101556	155	7	find	find	VERB
esrj-101556	155	8	the	the	DET
esrj-101556	155	9	number	number	NOUN
esrj-101556	155	10	of	of	ADP
esrj-101556	155	11	high	high	ADJ
esrj-101556	155	12	-	-	PUNCT
esrj-101556	155	13	density	density	NOUN
esrj-101556	155	14	regions	region	NOUN
esrj-101556	155	15	in	in	ADP
esrj-101556	155	16	previous	previous	ADJ
esrj-101556	155	17	array	array	NOUN
esrj-101556	155	18	;	;	PUNCT
esrj-101556	155	19	this	this	DET
esrj-101556	155	20	clustering	clustering	ADJ
esrj-101556	155	21	technique	technique	NOUN
esrj-101556	155	22	produces	produce	VERB
esrj-101556	155	23	a	a	DET
esrj-101556	155	24	partitional	partitional	ADJ
esrj-101556	155	25	clustering	clustering	NOUN
esrj-101556	155	26	,	,	PUNCT
esrj-101556	155	27	in	in	ADP
esrj-101556	155	28	which	which	PRON
esrj-101556	155	29	the	the	DET
esrj-101556	155	30	number	number	NOUN
esrj-101556	155	31	of	of	ADP
esrj-101556	155	32	clusters	cluster	NOUN
esrj-101556	155	33	is	be	AUX
esrj-101556	155	34	automatically	automatically	ADV
esrj-101556	155	35	determined	determine	VERB
esrj-101556	155	36	by	by	ADP
esrj-101556	155	37	the	the	DET
esrj-101556	155	38	algorithm	algorithm	NOUN
esrj-101556	155	39	(	(	PUNCT
esrj-101556	155	40	tan	tan	PROPN
esrj-101556	155	41	,	,	PUNCT
esrj-101556	155	42	et	et	PROPN
esrj-101556	155	43	al	al	PROPN
esrj-101556	155	44	.	.	PROPN
esrj-101556	155	45	,	,	PUNCT
esrj-101556	155	46	2006	2006	NUM
esrj-101556	155	47	)	)	PUNCT
esrj-101556	155	48	.	.	PUNCT
esrj-101556	156	1	in	in	ADP
esrj-101556	156	2	the	the	DET
esrj-101556	156	3	dbscan	dbscan	NOUN
esrj-101556	156	4	,	,	PUNCT
esrj-101556	156	5	the	the	DET
esrj-101556	156	6	high	high	ADJ
esrj-101556	156	7	-	-	PUNCT
esrj-101556	156	8	density	density	NOUN
esrj-101556	156	9	regions	region	NOUN
esrj-101556	156	10	are	be	AUX
esrj-101556	156	11	separated	separate	VERB
esrj-101556	156	12	from	from	ADP
esrj-101556	156	13	another	another	PRON
esrj-101556	156	14	of	of	ADP
esrj-101556	156	15	low	low	ADJ
esrj-101556	156	16	-	-	PUNCT
esrj-101556	156	17	density	density	NOUN
esrj-101556	156	18	as	as	SCONJ
esrj-101556	156	19	shown	show	VERB
esrj-101556	156	20	the	the	DET
esrj-101556	156	21	figure	figure	NOUN
esrj-101556	156	22	8j	8j	NUM
esrj-101556	156	23	.	.	PUNCT
esrj-101556	157	1	the	the	DET
esrj-101556	157	2	number	number	NOUN
esrj-101556	157	3	of	of	ADP
esrj-101556	157	4	regions	region	NOUN
esrj-101556	157	5	detected	detect	VERB
esrj-101556	157	6	by	by	ADP
esrj-101556	157	7	this	this	DET
esrj-101556	157	8	method	method	NOUN
esrj-101556	157	9	will	will	AUX
esrj-101556	157	10	be	be	AUX
esrj-101556	157	11	the	the	DET
esrj-101556	157	12	“	"	PUNCT
esrj-101556	157	13	k	k	ADJ
esrj-101556	157	14	”	"	PUNCT
esrj-101556	157	15	input	input	NOUN
esrj-101556	157	16	of	of	ADP
esrj-101556	157	17	the	the	DET
esrj-101556	157	18	following	follow	VERB
esrj-101556	157	19	k	k	ADJ
esrj-101556	157	20	-	-	PUNCT
esrj-101556	157	21	means	means	NOUN
esrj-101556	157	22	clustering	clustering	NOUN
esrj-101556	157	23	.	.	PUNCT
esrj-101556	158	1	afterward	afterward	ADV
esrj-101556	158	2	,	,	PUNCT
esrj-101556	158	3	the	the	DET
esrj-101556	158	4	k	k	NOUN
esrj-101556	158	5	-	-	PUNCT
esrj-101556	158	6	means	means	NOUN
esrj-101556	158	7	algorithm	algorithm	NOUN
esrj-101556	158	8	is	be	AUX
esrj-101556	158	9	applied	apply	VERB
esrj-101556	158	10	to	to	ADP
esrj-101556	158	11	the	the	DET
esrj-101556	158	12	same	same	ADJ
esrj-101556	158	13	sinusoid	sinusoid	ADJ
esrj-101556	158	14	parameters	parameter	NOUN
esrj-101556	158	15	array	array	VERB
esrj-101556	158	16	to	to	PART
esrj-101556	158	17	find	find	VERB
esrj-101556	158	18	the	the	DET
esrj-101556	158	19	centroids	centroid	NOUN
esrj-101556	158	20	of	of	ADP
esrj-101556	158	21	each	each	DET
esrj-101556	158	22	high	high	ADJ
esrj-101556	158	23	-	-	PUNCT
esrj-101556	158	24	density	density	NOUN
esrj-101556	158	25	region	region	NOUN
esrj-101556	158	26	detected	detect	VERB
esrj-101556	158	27	by	by	ADP
esrj-101556	158	28	the	the	DET
esrj-101556	158	29	previous	previous	ADJ
esrj-101556	158	30	dbscan	dbscan	NOUN
esrj-101556	158	31	.	.	PUNCT
esrj-101556	159	1	k	k	X
esrj-101556	159	2	-	-	PUNCT
esrj-101556	159	3	means	means	PROPN
esrj-101556	159	4	is	be	AUX
esrj-101556	159	5	a	a	DET
esrj-101556	159	6	proto	proto	NOUN
esrj-101556	159	7	-	-	PUNCT
esrj-101556	159	8	type	type	NOUN
esrj-101556	159	9	-	-	PUNCT
esrj-101556	159	10	based	base	VERB
esrj-101556	159	11	,	,	PUNCT
esrj-101556	159	12	partitional	partitional	ADJ
esrj-101556	159	13	clustering	clustering	NOUN
esrj-101556	159	14	technique	technique	NOUN
esrj-101556	159	15	that	that	PRON
esrj-101556	159	16	attempts	attempt	VERB
esrj-101556	159	17	to	to	PART
esrj-101556	159	18	find	find	VERB
esrj-101556	159	19	a	a	DET
esrj-101556	159	20	“	"	PUNCT
esrj-101556	159	21	k	k	ADJ
esrj-101556	159	22	”	"	PUNCT
esrj-101556	159	23	number	number	NOUN
esrj-101556	159	24	of	of	ADP
esrj-101556	159	25	clusters	cluster	NOUN
esrj-101556	159	26	,	,	PUNCT
esrj-101556	159	27	which	which	PRON
esrj-101556	159	28	are	be	AUX
esrj-101556	159	29	represented	represent	VERB
esrj-101556	159	30	by	by	ADP
esrj-101556	159	31	their	their	PRON
esrj-101556	159	32	centroids	centroid	NOUN
esrj-101556	159	33	(	(	PUNCT
esrj-101556	159	34	tan	tan	PROPN
esrj-101556	159	35	,	,	PUNCT
esrj-101556	159	36	et	et	PROPN
esrj-101556	159	37	al	al	PROPN
esrj-101556	159	38	.	.	PROPN
esrj-101556	159	39	,	,	PUNCT
esrj-101556	159	40	2006	2006	NUM
esrj-101556	159	41	)	)	PUNCT
esrj-101556	159	42	,	,	PUNCT
esrj-101556	159	43	as	as	SCONJ
esrj-101556	159	44	shown	show	VERB
esrj-101556	159	45	the	the	DET
esrj-101556	159	46	figure	figure	NOUN
esrj-101556	159	47	8k	8k	NOUN
esrj-101556	159	48	.	.	PUNCT
esrj-101556	160	1	the	the	DET
esrj-101556	160	2	centroids	centroid	NOUN
esrj-101556	160	3	found	find	VERB
esrj-101556	160	4	in	in	ADP
esrj-101556	160	5	the	the	DET
esrj-101556	160	6	previous	previous	ADJ
esrj-101556	160	7	step	step	NOUN
esrj-101556	160	8	are	be	AUX
esrj-101556	160	9	finally	finally	ADV
esrj-101556	160	10	plotted	plot	VERB
esrj-101556	160	11	over	over	ADP
esrj-101556	160	12	the	the	DET
esrj-101556	160	13	original	original	ADJ
esrj-101556	160	14	rbg	rbg	NOUN
esrj-101556	160	15	image	image	NOUN
esrj-101556	160	16	,	,	PUNCT
esrj-101556	160	17	where	where	SCONJ
esrj-101556	160	18	each	each	DET
esrj-101556	160	19	sinusoid	sinusoid	NOUN
esrj-101556	160	20	has	have	VERB
esrj-101556	160	21	a	a	DET
esrj-101556	160	22	centroid	centroid	NOUN
esrj-101556	160	23	for	for	ADP
esrj-101556	160	24	its	its	PRON
esrj-101556	160	25	amplitude	amplitude	NOUN
esrj-101556	160	26	(	(	PUNCT
esrj-101556	160	27	amp	amp	PROPN
esrj-101556	160	28	)	)	PUNCT
esrj-101556	160	29	,	,	PUNCT
esrj-101556	160	30	phase	phase	NOUN
esrj-101556	160	31	(	(	PUNCT
esrj-101556	160	32	θ	θ	NOUN
esrj-101556	160	33	)	)	PUNCT
esrj-101556	160	34	,	,	PUNCT
esrj-101556	160	35	and	and	CCONJ
esrj-101556	160	36	depth	depth	NOUN
esrj-101556	160	37	(	(	PUNCT
esrj-101556	160	38	y0	y0	NOUN
esrj-101556	160	39	)	)	PUNCT
esrj-101556	160	40	,	,	PUNCT
esrj-101556	160	41	respectively	respectively	ADV
esrj-101556	160	42	(	(	PUNCT
esrj-101556	160	43	figure	figure	NOUN
esrj-101556	160	44	8l	8l	NOUN
esrj-101556	160	45	)	)	PUNCT
esrj-101556	160	46	.	.	PUNCT
esrj-101556	161	1	5	5	X
esrj-101556	161	2	.	.	NOUN
esrj-101556	161	3	results	result	NOUN
esrj-101556	161	4	and	and	CCONJ
esrj-101556	161	5	comparison	comparison	NOUN
esrj-101556	161	6	in	in	ADP
esrj-101556	161	7	order	order	NOUN
esrj-101556	161	8	to	to	PART
esrj-101556	161	9	test	test	VERB
esrj-101556	161	10	the	the	DET
esrj-101556	161	11	automatic	automatic	ADJ
esrj-101556	161	12	dip	dip	NOUN
esrj-101556	161	13	picking	picking	NOUN
esrj-101556	161	14	proposed	propose	VERB
esrj-101556	161	15	in	in	ADP
esrj-101556	161	16	this	this	DET
esrj-101556	161	17	work	work	NOUN
esrj-101556	161	18	,	,	PUNCT
esrj-101556	161	19	the	the	DET
esrj-101556	161	20	msd	msd	NOUN
esrj-101556	161	21	processing	processing	NOUN
esrj-101556	161	22	and	and	CCONJ
esrj-101556	161	23	the	the	DET
esrj-101556	161	24	computer	computer	NOUN
esrj-101556	161	25	vision	vision	NOUN
esrj-101556	161	26	technique	technique	NOUN
esrj-101556	161	27	were	be	AUX
esrj-101556	161	28	evaluated	evaluate	VERB
esrj-101556	161	29	in	in	ADP
esrj-101556	161	30	1012	1012	NUM
esrj-101556	161	31	m	m	NOUN
esrj-101556	161	32	of	of	ADP
esrj-101556	161	33	wireline	wireline	NOUN
esrj-101556	161	34	-	-	PUNCT
esrj-101556	161	35	acquired	acquire	VERB
esrj-101556	161	36	borehole	borehole	NOUN
esrj-101556	161	37	imaging	imaging	NOUN
esrj-101556	161	38	.	.	PUNCT
esrj-101556	162	1	the	the	DET
esrj-101556	162	2	test	test	NOUN
esrj-101556	162	3	included	include	VERB
esrj-101556	162	4	several	several	ADJ
esrj-101556	162	5	wells	well	NOUN
esrj-101556	162	6	in	in	ADP
esrj-101556	162	7	clastic	clastic	ADJ
esrj-101556	162	8	and	and	CCONJ
esrj-101556	162	9	carbonate	carbonate	NOUN
esrj-101556	162	10	environments	environment	NOUN
esrj-101556	162	11	,	,	PUNCT
esrj-101556	162	12	using	use	VERB
esrj-101556	162	13	two	two	NUM
esrj-101556	162	14	kinds	kind	NOUN
esrj-101556	162	15	of	of	ADP
esrj-101556	162	16	imaging	imaging	NOUN
esrj-101556	162	17	devices	device	NOUN
esrj-101556	162	18	(	(	PUNCT
esrj-101556	162	19	pad	pad	NOUN
esrj-101556	162	20	with	with	ADP
esrj-101556	162	21	flap	flap	NOUN
esrj-101556	162	22	and	and	CCONJ
esrj-101556	162	23	only	only	ADJ
esrj-101556	162	24	-	-	PUNCT
esrj-101556	162	25	pad	pad	NOUN
esrj-101556	162	26	tools	tool	NOUN
esrj-101556	162	27	)	)	PUNCT
esrj-101556	162	28	,	,	PUNCT
esrj-101556	162	29	as	as	SCONJ
esrj-101556	162	30	shown	show	VERB
esrj-101556	162	31	the	the	DET
esrj-101556	162	32	figure	figure	NOUN
esrj-101556	162	33	9	9	NUM
esrj-101556	162	34	and	and	CCONJ
esrj-101556	162	35	figure	figure	VERB
esrj-101556	162	36	10	10	NUM
esrj-101556	162	37	,	,	PUNCT
esrj-101556	162	38	respectively	respectively	ADV
esrj-101556	162	39	.	.	PUNCT
esrj-101556	163	1	the	the	DET
esrj-101556	163	2	metric	metric	ADJ
esrj-101556	163	3	employed	employ	VERB
esrj-101556	163	4	to	to	PART
esrj-101556	163	5	compare	compare	VERB
esrj-101556	163	6	both	both	DET
esrj-101556	163	7	results	result	NOUN
esrj-101556	163	8	was	be	AUX
esrj-101556	163	9	the	the	DET
esrj-101556	163	10	number	number	NOUN
esrj-101556	163	11	of	of	ADP
esrj-101556	163	12	false	false	ADJ
esrj-101556	163	13	positives	positive	NOUN
esrj-101556	163	14	found	find	VERB
esrj-101556	163	15	by	by	ADP
esrj-101556	163	16	each	each	DET
esrj-101556	163	17	method	method	NOUN
esrj-101556	163	18	;	;	PUNCT
esrj-101556	163	19	a	a	DET
esrj-101556	163	20	false	false	ADJ
esrj-101556	163	21	positive	positive	ADJ
esrj-101556	163	22	occurs	occur	NOUN
esrj-101556	163	23	when	when	SCONJ
esrj-101556	163	24	the	the	DET
esrj-101556	163	25	method	method	NOUN
esrj-101556	163	26	finds	find	VERB
esrj-101556	163	27	a	a	DET
esrj-101556	163	28	sinusoid	sinusoid	NOUN
esrj-101556	163	29	and	and	CCONJ
esrj-101556	163	30	it	it	PRON
esrj-101556	163	31	does	do	AUX
esrj-101556	163	32	not	not	PART
esrj-101556	163	33	exist	exist	VERB
esrj-101556	163	34	,	,	PUNCT
esrj-101556	163	35	in	in	ADP
esrj-101556	163	36	other	other	ADJ
esrj-101556	163	37	words	word	NOUN
esrj-101556	163	38	,	,	PUNCT
esrj-101556	163	39	the	the	DET
esrj-101556	163	40	method	method	NOUN
esrj-101556	163	41	places	place	VERB
esrj-101556	163	42	a	a	DET
esrj-101556	163	43	sinusoid	sinusoid	NOUN
esrj-101556	163	44	and	and	CCONJ
esrj-101556	163	45	it	it	PRON
esrj-101556	163	46	does	do	AUX
esrj-101556	163	47	not	not	PART
esrj-101556	163	48	represent	represent	VERB
esrj-101556	163	49	any	any	DET
esrj-101556	163	50	geologic	geologic	ADJ
esrj-101556	163	51	feature	feature	NOUN
esrj-101556	163	52	(	(	PUNCT
esrj-101556	163	53	e.g.	e.g.	ADV
esrj-101556	163	54	bed	bed	NOUN
esrj-101556	163	55	boundary	boundary	ADJ
esrj-101556	163	56	,	,	PUNCT
esrj-101556	163	57	fracture	fracture	ADJ
esrj-101556	163	58	or	or	CCONJ
esrj-101556	163	59	sedimentary	sedimentary	ADJ
esrj-101556	163	60	structure	structure	NOUN
esrj-101556	163	61	)	)	PUNCT
esrj-101556	163	62	.	.	PUNCT
esrj-101556	164	1	the	the	DET
esrj-101556	164	2	false	false	ADJ
esrj-101556	164	3	positives	positive	NOUN
esrj-101556	164	4	recognition	recognition	NOUN
esrj-101556	164	5	in	in	ADP
esrj-101556	164	6	both	both	DET
esrj-101556	164	7	methods	method	NOUN
esrj-101556	164	8	was	be	AUX
esrj-101556	164	9	performed	perform	VERB
esrj-101556	164	10	by	by	ADP
esrj-101556	164	11	a	a	DET
esrj-101556	164	12	specialized	specialized	ADJ
esrj-101556	164	13	geologist	geologist	NOUN
esrj-101556	164	14	according	accord	VERB
esrj-101556	164	15	to	to	ADP
esrj-101556	164	16	regular	regular	ADJ
esrj-101556	164	17	borehole	borehole	NOUN
esrj-101556	164	18	imaging	imaging	NOUN
esrj-101556	164	19	interpretation	interpretation	NOUN
esrj-101556	164	20	procedures	procedure	NOUN
esrj-101556	164	21	.	.	PUNCT
esrj-101556	165	1	once	once	SCONJ
esrj-101556	165	2	the	the	DET
esrj-101556	165	3	methods	method	NOUN
esrj-101556	165	4	were	be	AUX
esrj-101556	165	5	executed	execute	VERB
esrj-101556	165	6	,	,	PUNCT
esrj-101556	165	7	the	the	DET
esrj-101556	165	8	number	number	NOUN
esrj-101556	165	9	of	of	ADP
esrj-101556	165	10	false	false	ADJ
esrj-101556	165	11	positives	positive	NOUN
esrj-101556	165	12	for	for	ADP
esrj-101556	165	13	the	the	DET
esrj-101556	165	14	msd	msd	NOUN
esrj-101556	165	15	was	be	AUX
esrj-101556	165	16	90	90	NUM
esrj-101556	165	17	in	in	ADP
esrj-101556	165	18	a	a	DET
esrj-101556	165	19	total	total	NOUN
esrj-101556	165	20	of	of	ADP
esrj-101556	165	21	1127	1127	NUM
esrj-101556	165	22	recognized	recognize	VERB
esrj-101556	165	23	sinusoids	sinusoid	NOUN
esrj-101556	165	24	(	(	PUNCT
esrj-101556	165	25	7.986	7.986	NUM
esrj-101556	165	26	%	%	NOUN
esrj-101556	165	27	)	)	PUNCT
esrj-101556	165	28	;	;	PUNCT
esrj-101556	165	29	while	while	SCONJ
esrj-101556	165	30	the	the	DET
esrj-101556	165	31	computer	computer	NOUN
esrj-101556	165	32	vision	vision	NOUN
esrj-101556	165	33	approach	approach	NOUN
esrj-101556	165	34	had	have	VERB
esrj-101556	165	35	28	28	NUM
esrj-101556	165	36	false	false	ADJ
esrj-101556	165	37	positives	positive	NOUN
esrj-101556	165	38	in	in	ADP
esrj-101556	165	39	a	a	DET
esrj-101556	165	40	total	total	NOUN
esrj-101556	165	41	of	of	ADP
esrj-101556	165	42	3186	3186	NUM
esrj-101556	165	43	recognized	recognize	VERB
esrj-101556	165	44	sinusoids	sinusoid	NOUN
esrj-101556	165	45	(	(	PUNCT
esrj-101556	165	46	0.879	0.879	NUM
esrj-101556	165	47	%	%	NOUN
esrj-101556	165	48	)	)	PUNCT
esrj-101556	165	49	.	.	PUNCT
esrj-101556	166	1	moreover	moreover	ADV
esrj-101556	166	2	,	,	PUNCT
esrj-101556	166	3	is	be	AUX
esrj-101556	166	4	particularly	particularly	ADV
esrj-101556	166	5	important	important	ADJ
esrj-101556	166	6	to	to	PART
esrj-101556	166	7	notice	notice	VERB
esrj-101556	166	8	the	the	DET
esrj-101556	166	9	number	number	NOUN
esrj-101556	166	10	of	of	ADP
esrj-101556	166	11	detected	detect	VERB
esrj-101556	166	12	samples	sample	NOUN
esrj-101556	166	13	by	by	ADP
esrj-101556	166	14	each	each	DET
esrj-101556	166	15	method	method	NOUN
esrj-101556	166	16	,	,	PUNCT
esrj-101556	166	17	1127	1127	NUM
esrj-101556	166	18	for	for	ADP
esrj-101556	166	19	msd	msd	NOUN
esrj-101556	166	20	versus	versus	ADP
esrj-101556	166	21	3186	3186	NUM
esrj-101556	166	22	for	for	ADP
esrj-101556	166	23	the	the	DET
esrj-101556	166	24	method	method	NOUN
esrj-101556	166	25	proposed	propose	VERB
esrj-101556	166	26	in	in	ADP
esrj-101556	166	27	this	this	DET
esrj-101556	166	28	research	research	NOUN
esrj-101556	166	29	.	.	PUNCT
esrj-101556	167	1	figures	figure	NOUN
esrj-101556	167	2	9	9	NUM
esrj-101556	167	3	and	and	CCONJ
esrj-101556	167	4	10	10	NUM
esrj-101556	167	5	show	show	VERB
esrj-101556	167	6	examples	example	NOUN
esrj-101556	167	7	of	of	ADP
esrj-101556	167	8	how	how	SCONJ
esrj-101556	167	9	computer	computer	NOUN
esrj-101556	167	10	vision	vision	NOUN
esrj-101556	167	11	procedures	procedure	NOUN
esrj-101556	167	12	can	can	AUX
esrj-101556	167	13	differentiate	differentiate	VERB
esrj-101556	167	14	low	low	ADJ
esrj-101556	167	15	amplitude	amplitude	NOUN
esrj-101556	167	16	sinusoids	sinusoid	NOUN
esrj-101556	167	17	in	in	ADP
esrj-101556	167	18	the	the	DET
esrj-101556	167	19	background	background	NOUN
esrj-101556	167	20	from	from	ADP
esrj-101556	167	21	those	those	PRON
esrj-101556	167	22	of	of	ADP
esrj-101556	167	23	high	high	ADJ
esrj-101556	167	24	amplitude	amplitude	NOUN
esrj-101556	167	25	in	in	ADP
esrj-101556	167	26	the	the	DET
esrj-101556	167	27	front	front	NOUN
esrj-101556	167	28	.	.	PUNCT
esrj-101556	168	1	the	the	DET
esrj-101556	168	2	computer	computer	NOUN
esrj-101556	168	3	vision	vision	NOUN
esrj-101556	168	4	picking	pick	VERB
esrj-101556	168	5	further	far	ADV
esrj-101556	168	6	shows	show	VERB
esrj-101556	168	7	better	well	ADJ
esrj-101556	168	8	patterns	pattern	NOUN
esrj-101556	168	9	related	relate	VERB
esrj-101556	168	10	to	to	ADP
esrj-101556	168	11	deformations	deformation	NOUN
esrj-101556	168	12	,	,	PUNCT
esrj-101556	168	13	such	such	ADJ
esrj-101556	168	14	as	as	ADP
esrj-101556	168	15	in	in	ADP
esrj-101556	168	16	figure	figure	NOUN
esrj-101556	168	17	9	9	NUM
esrj-101556	168	18	(	(	PUNCT
esrj-101556	168	19	414	414	NUM
esrj-101556	168	20	m	m	NOUN
esrj-101556	168	21	)	)	PUNCT
esrj-101556	168	22	,	,	PUNCT
esrj-101556	168	23	where	where	SCONJ
esrj-101556	168	24	some	some	DET
esrj-101556	168	25	deformations	deformation	NOUN
esrj-101556	168	26	due	due	ADJ
esrj-101556	168	27	to	to	ADP
esrj-101556	168	28	concretions	concretion	NOUN
esrj-101556	168	29	are	be	AUX
esrj-101556	168	30	depicted	depict	VERB
esrj-101556	168	31	.	.	PUNCT
esrj-101556	169	1	according	accord	VERB
esrj-101556	169	2	to	to	ADP
esrj-101556	169	3	these	these	DET
esrj-101556	169	4	results	result	NOUN
esrj-101556	169	5	,	,	PUNCT
esrj-101556	169	6	there	there	PRON
esrj-101556	169	7	is	be	VERB
esrj-101556	169	8	no	no	DET
esrj-101556	169	9	evidence	evidence	NOUN
esrj-101556	169	10	that	that	SCONJ
esrj-101556	169	11	different	different	ADJ
esrj-101556	169	12	tool	tool	NOUN
esrj-101556	169	13	types	type	NOUN
esrj-101556	169	14	have	have	AUX
esrj-101556	169	15	positives	positive	NOUN
esrj-101556	169	16	or	or	CCONJ
esrj-101556	169	17	negative	negative	ADJ
esrj-101556	169	18	impact	impact	NOUN
esrj-101556	169	19	on	on	ADP
esrj-101556	169	20	the	the	DET
esrj-101556	169	21	outcome	outcome	NOUN
esrj-101556	169	22	.	.	PUNCT
esrj-101556	170	1	two	two	NUM
esrj-101556	170	2	different	different	ADJ
esrj-101556	170	3	image	image	NOUN
esrj-101556	170	4	tools	tool	NOUN
esrj-101556	170	5	were	be	AUX
esrj-101556	170	6	employed	employ	VERB
esrj-101556	170	7	to	to	PART
esrj-101556	170	8	conduct	conduct	VERB
esrj-101556	170	9	the	the	DET
esrj-101556	170	10	tests	test	NOUN
esrj-101556	170	11	,	,	PUNCT
esrj-101556	170	12	and	and	CCONJ
esrj-101556	170	13	there	there	PRON
esrj-101556	170	14	was	be	VERB
esrj-101556	170	15	not	not	PART
esrj-101556	170	16	any	any	DET
esrj-101556	170	17	increase	increase	NOUN
esrj-101556	170	18	or	or	CCONJ
esrj-101556	170	19	decrease	decrease	NOUN
esrj-101556	170	20	in	in	ADP
esrj-101556	170	21	false	false	ADJ
esrj-101556	170	22	-	-	PUNCT
esrj-101556	170	23	positive	positive	ADJ
esrj-101556	170	24	proportions	proportion	NOUN
esrj-101556	170	25	.	.	PUNCT
esrj-101556	171	1	the	the	DET
esrj-101556	171	2	processing	processing	NOUN
esrj-101556	171	3	time	time	NOUN
esrj-101556	171	4	using	use	VERB
esrj-101556	171	5	the	the	DET
esrj-101556	171	6	computer	computer	NOUN
esrj-101556	171	7	vision	vision	NOUN
esrj-101556	171	8	approach	approach	NOUN
esrj-101556	171	9	takes	take	VERB
esrj-101556	171	10	around	around	ADV
esrj-101556	171	11	30	30	NUM
esrj-101556	171	12	minutes	minute	NOUN
esrj-101556	171	13	for	for	ADP
esrj-101556	171	14	500	500	NUM
esrj-101556	171	15	m	m	NOUN
esrj-101556	171	16	of	of	ADP
esrj-101556	171	17	borehole	borehole	NOUN
esrj-101556	171	18	imaging	imaging	NOUN
esrj-101556	171	19	;	;	PUNCT
esrj-101556	171	20	it	it	PRON
esrj-101556	171	21	was	be	AUX
esrj-101556	171	22	achieved	achieve	VERB
esrj-101556	171	23	employing	employ	VERB
esrj-101556	171	24	a	a	DET
esrj-101556	171	25	personal	personal	ADJ
esrj-101556	171	26	computer	computer	NOUN
esrj-101556	171	27	with	with	ADP
esrj-101556	171	28	a	a	DET
esrj-101556	171	29	core	core	NOUN
esrj-101556	171	30	i5	i5	NOUN
esrj-101556	171	31	processor	processor	NOUN
esrj-101556	171	32	and	and	CCONJ
esrj-101556	171	33	8	8	NUM
esrj-101556	171	34	gb	gb	NOUN
esrj-101556	171	35	of	of	ADP
esrj-101556	171	36	random	random	ADJ
esrj-101556	171	37	access	access	NOUN
esrj-101556	171	38	memory	memory	NOUN
esrj-101556	171	39	(	(	PUNCT
esrj-101556	171	40	ram	ram	NOUN
esrj-101556	171	41	)	)	PUNCT
esrj-101556	171	42	.	.	PUNCT
esrj-101556	172	1	neither	neither	CCONJ
esrj-101556	172	2	special	special	ADJ
esrj-101556	172	3	nor	nor	CCONJ
esrj-101556	172	4	high	high	ADJ
esrj-101556	172	5	-	-	PUNCT
esrj-101556	172	6	resolution	resolution	NOUN
esrj-101556	172	7	graphic	graphic	ADJ
esrj-101556	172	8	cards	card	NOUN
esrj-101556	172	9	are	be	AUX
esrj-101556	172	10	required	require	VERB
esrj-101556	172	11	;	;	PUNCT
esrj-101556	172	12	the	the	DET
esrj-101556	172	13	standard	standard	ADJ
esrj-101556	172	14	graphic	graphic	ADJ
esrj-101556	172	15	devices	device	NOUN
esrj-101556	172	16	provided	provide	VERB
esrj-101556	172	17	in	in	ADP
esrj-101556	172	18	current	current	ADJ
esrj-101556	172	19	computer	computer	NOUN
esrj-101556	172	20	configurations	configuration	NOUN
esrj-101556	172	21	are	be	AUX
esrj-101556	172	22	enough	enough	ADJ
esrj-101556	172	23	for	for	ADP
esrj-101556	172	24	this	this	DET
esrj-101556	172	25	processing	processing	NOUN
esrj-101556	172	26	.	.	PUNCT
esrj-101556	173	1	6	6	X
esrj-101556	173	2	.	.	X
esrj-101556	173	3	conclusions	conclusion	NOUN
esrj-101556	173	4	&	&	CCONJ
esrj-101556	173	5	recommendations	recommendation	NOUN
esrj-101556	173	6	the	the	DET
esrj-101556	173	7	method	method	NOUN
esrj-101556	173	8	proposed	propose	VERB
esrj-101556	173	9	in	in	ADP
esrj-101556	173	10	this	this	DET
esrj-101556	173	11	research	research	NOUN
esrj-101556	173	12	is	be	AUX
esrj-101556	173	13	more	more	ADV
esrj-101556	173	14	accurate	accurate	ADJ
esrj-101556	173	15	than	than	ADP
esrj-101556	173	16	the	the	DET
esrj-101556	173	17	typical	typical	ADJ
esrj-101556	173	18	msd	msd	NOUN
esrj-101556	173	19	processing	processing	NOUN
esrj-101556	173	20	;	;	PUNCT
esrj-101556	173	21	additionally	additionally	ADV
esrj-101556	173	22	,	,	PUNCT
esrj-101556	173	23	it	it	PRON
esrj-101556	173	24	can	can	AUX
esrj-101556	173	25	be	be	AUX
esrj-101556	173	26	applied	apply	VERB
esrj-101556	173	27	in	in	ADP
esrj-101556	173	28	the	the	DET
esrj-101556	173	29	field	field	NOUN
esrj-101556	173	30	soon	soon	ADV
esrj-101556	173	31	after	after	SCONJ
esrj-101556	173	32	image	image	NOUN
esrj-101556	173	33	data	datum	NOUN
esrj-101556	173	34	is	be	AUX
esrj-101556	173	35	acquired	acquire	VERB
esrj-101556	173	36	.	.	PUNCT
esrj-101556	174	1	the	the	DET
esrj-101556	174	2	input	input	NOUN
esrj-101556	174	3	is	be	AUX
esrj-101556	174	4	a	a	DET
esrj-101556	174	5	dynamic	dynamic	ADJ
esrj-101556	174	6	normalized	normalize	VERB
esrj-101556	174	7	image	image	NOUN
esrj-101556	174	8	,	,	PUNCT
esrj-101556	174	9	which	which	PRON
esrj-101556	174	10	can	can	AUX
esrj-101556	174	11	be	be	AUX
esrj-101556	174	12	generated	generate	VERB
esrj-101556	174	13	by	by	ADP
esrj-101556	174	14	the	the	DET
esrj-101556	174	15	logging	log	VERB
esrj-101556	174	16	engineer	engineer	NOUN
esrj-101556	174	17	in	in	ADP
esrj-101556	174	18	the	the	DET
esrj-101556	174	19	field	field	NOUN
esrj-101556	174	20	.	.	PUNCT
esrj-101556	175	1	the	the	DET
esrj-101556	175	2	computer	computer	NOUN
esrj-101556	175	3	vision	vision	NOUN
esrj-101556	175	4	approach	approach	NOUN
esrj-101556	175	5	was	be	AUX
esrj-101556	175	6	able	able	ADJ
esrj-101556	175	7	to	to	PART
esrj-101556	175	8	recognize	recognize	VERB
esrj-101556	175	9	high	high	ADJ
esrj-101556	175	10	amplitude	amplitude	NOUN
esrj-101556	175	11	sinusoids	sinusoid	NOUN
esrj-101556	175	12	in	in	ADP
esrj-101556	175	13	the	the	DET
esrj-101556	175	14	same	same	ADJ
esrj-101556	175	15	interval	interval	NOUN
esrj-101556	175	16	where	where	SCONJ
esrj-101556	175	17	low	low	ADJ
esrj-101556	175	18	amplitude	amplitude	NOUN
esrj-101556	175	19	sinusoids	sinusoid	NOUN
esrj-101556	175	20	are	be	AUX
esrj-101556	175	21	;	;	PUNCT
esrj-101556	175	22	this	this	PRON
esrj-101556	175	23	can	can	AUX
esrj-101556	175	24	be	be	AUX
esrj-101556	175	25	very	very	ADV
esrj-101556	175	26	useful	useful	ADJ
esrj-101556	175	27	during	during	ADP
esrj-101556	175	28	image	image	NOUN
esrj-101556	175	29	interpretation	interpretation	NOUN
esrj-101556	175	30	when	when	SCONJ
esrj-101556	175	31	natural	natural	ADJ
esrj-101556	175	32	fractures	fracture	NOUN
esrj-101556	175	33	and	and	CCONJ
esrj-101556	175	34	faults	fault	NOUN
esrj-101556	175	35	must	must	AUX
esrj-101556	175	36	be	be	AUX
esrj-101556	175	37	differentiated	differentiate	VERB
esrj-101556	175	38	from	from	ADP
esrj-101556	175	39	beddings	bedding	NOUN
esrj-101556	175	40	or	or	CCONJ
esrj-101556	175	41	sedimentary	sedimentary	ADJ
esrj-101556	175	42	structures	structure	NOUN
esrj-101556	175	43	.	.	PUNCT
esrj-101556	176	1	the	the	DET
esrj-101556	176	2	computer	computer	NOUN
esrj-101556	176	3	vision	vision	NOUN
esrj-101556	176	4	processing	processing	NOUN
esrj-101556	176	5	can	can	AUX
esrj-101556	176	6	be	be	AUX
esrj-101556	176	7	easily	easily	ADV
esrj-101556	176	8	integrated	integrate	VERB
esrj-101556	176	9	into	into	ADP
esrj-101556	176	10	logging	log	VERB
esrj-101556	176	11	units	unit	NOUN
esrj-101556	176	12	;	;	PUNCT
esrj-101556	176	13	there	there	PRON
esrj-101556	176	14	are	be	VERB
esrj-101556	176	15	no	no	DET
esrj-101556	176	16	special	special	ADJ
esrj-101556	176	17	graphic	graphic	ADJ
esrj-101556	176	18	card	card	NOUN
esrj-101556	176	19	requirements	requirement	NOUN
esrj-101556	176	20	,	,	PUNCT
esrj-101556	176	21	processor	processor	NOUN
esrj-101556	176	22	,	,	PUNCT
esrj-101556	176	23	or	or	CCONJ
esrj-101556	176	24	memory	memory	NOUN
esrj-101556	176	25	(	(	PUNCT
esrj-101556	176	26	ram	ram	NOUN
esrj-101556	176	27	)	)	PUNCT
esrj-101556	176	28	.	.	PUNCT
esrj-101556	177	1	furthermore	furthermore	ADV
esrj-101556	177	2	,	,	PUNCT
esrj-101556	177	3	the	the	DET
esrj-101556	177	4	entire	entire	ADJ
esrj-101556	177	5	code	code	NOUN
esrj-101556	177	6	was	be	AUX
esrj-101556	177	7	developed	develop	VERB
esrj-101556	177	8	using	use	VERB
esrj-101556	177	9	programming	programming	NOUN
esrj-101556	177	10	standard	standard	ADJ
esrj-101556	177	11	tools	tool	NOUN
esrj-101556	177	12	of	of	ADP
esrj-101556	177	13	common	common	ADJ
esrj-101556	177	14	application	application	NOUN
esrj-101556	177	15	(	(	PUNCT
esrj-101556	177	16	harris	harris	PROPN
esrj-101556	177	17	,	,	PUNCT
esrj-101556	177	18	et	et	PROPN
esrj-101556	177	19	al	al	PROPN
esrj-101556	177	20	.	.	PROPN
esrj-101556	177	21	,	,	PUNCT
esrj-101556	177	22	2020	2020	NUM
esrj-101556	177	23	,	,	PUNCT
esrj-101556	177	24	mckinney	mckinney	PROPN
esrj-101556	177	25	,	,	PUNCT
esrj-101556	177	26	et	et	PROPN
esrj-101556	177	27	al	al	PROPN
esrj-101556	177	28	.	.	PROPN
esrj-101556	177	29	,	,	PUNCT
esrj-101556	177	30	2010	2010	NUM
esrj-101556	177	31	,	,	PUNCT
esrj-101556	177	32	bradski	bradski	NOUN
esrj-101556	177	33	,	,	PUNCT
esrj-101556	177	34	et	et	PROPN
esrj-101556	177	35	al	al	PROPN
esrj-101556	177	36	.	.	PROPN
esrj-101556	177	37	,	,	PUNCT
esrj-101556	177	38	2000	2000	NUM
esrj-101556	177	39	,	,	PUNCT
esrj-101556	177	40	and	and	CCONJ
esrj-101556	177	41	van	van	PROPN
esrj-101556	177	42	der	der	PROPN
esrj-101556	177	43	walt	walt	PROPN
esrj-101556	177	44	,	,	PUNCT
esrj-101556	177	45	et	et	PROPN
esrj-101556	177	46	al	al	PROPN
esrj-101556	177	47	.	.	PROPN
esrj-101556	177	48	,	,	PUNCT
esrj-101556	177	49	2014	2014	NUM
esrj-101556	177	50	)	)	PUNCT
esrj-101556	177	51	.	.	PUNCT
esrj-101556	178	1	figure	figure	VERB
esrj-101556	178	2	8	8	NUM
esrj-101556	178	3	.	.	PUNCT
esrj-101556	179	1	computer	computer	NOUN
esrj-101556	179	2	vision	vision	NOUN
esrj-101556	179	3	.	.	PUNCT
esrj-101556	180	1	processing	processing	NOUN
esrj-101556	180	2	in	in	ADP
esrj-101556	180	3	the	the	DET
esrj-101556	180	4	stage	stage	NOUN
esrj-101556	180	5	–	–	PUNCT
esrj-101556	180	6	4	4	NUM
esrj-101556	180	7	(	(	PUNCT
esrj-101556	180	8	final	final	ADJ
esrj-101556	180	9	image	image	NOUN
esrj-101556	180	10	)	)	PUNCT
esrj-101556	180	11	.	.	PUNCT
esrj-101556	181	1	146	146	NUM
esrj-101556	181	2	jorge	jorge	PROPN
esrj-101556	181	3	alberto	alberto	PROPN
esrj-101556	181	4	leal	leal	PROPN
esrj-101556	181	5	freitez	freitez	PROPN
esrj-101556	181	6	,	,	PUNCT
esrj-101556	181	7	luis	luis	PROPN
esrj-101556	181	8	hernán	hernán	PROPN
esrj-101556	181	9	ochoa	ochoa	PROPN
esrj-101556	181	10	gutiérrez	gutiérrez	PROPN
esrj-101556	181	11	,	,	PUNCT
esrj-101556	181	12	sergio	sergio	PROPN
esrj-101556	181	13	francisco	francisco	PROPN
esrj-101556	181	14	acosta	acosta	PROPN
esrj-101556	181	15	lenis	lenis	PROPN
esrj-101556	181	16	figure	figure	NOUN
esrj-101556	181	17	9	9	NUM
esrj-101556	181	18	.	.	PUNCT
esrj-101556	181	19	comparison	comparison	NOUN
esrj-101556	181	20	between	between	ADP
esrj-101556	181	21	msd	msd	NOUN
esrj-101556	181	22	and	and	CCONJ
esrj-101556	181	23	computer	computer	NOUN
esrj-101556	181	24	vision	vision	NOUN
esrj-101556	181	25	results	result	NOUN
esrj-101556	181	26	using	use	VERB
esrj-101556	181	27	a	a	DET
esrj-101556	181	28	pad	pad	NOUN
esrj-101556	181	29	with	with	ADP
esrj-101556	181	30	flap	flap	NOUN
esrj-101556	181	31	tool	tool	NOUN
esrj-101556	181	32	.	.	PUNCT
esrj-101556	182	1	figure	figure	NOUN
esrj-101556	182	2	10	10	NUM
esrj-101556	182	3	.	.	PUNCT
esrj-101556	183	1	comparison	comparison	NOUN
esrj-101556	183	2	between	between	ADP
esrj-101556	183	3	msd	msd	NOUN
esrj-101556	183	4	and	and	CCONJ
esrj-101556	183	5	computer	computer	NOUN
esrj-101556	183	6	vision	vision	NOUN
esrj-101556	183	7	results	result	NOUN
esrj-101556	183	8	using	use	VERB
esrj-101556	183	9	an	an	DET
esrj-101556	183	10	only	only	ADJ
esrj-101556	183	11	-	-	PUNCT
esrj-101556	183	12	pad	pad	NOUN
esrj-101556	183	13	tool	tool	NOUN
esrj-101556	183	14	.	.	PUNCT
esrj-101556	184	1	147computer	147computer	NOUN
esrj-101556	184	2	vision	vision	NOUN
esrj-101556	184	3	techniques	technique	NOUN
esrj-101556	184	4	applied	apply	VERB
esrj-101556	184	5	to	to	ADP
esrj-101556	184	6	automatic	automatic	ADJ
esrj-101556	184	7	detection	detection	NOUN
esrj-101556	184	8	of	of	ADP
esrj-101556	184	9	sinusoids	sinusoid	NOUN
esrj-101556	184	10	in	in	ADP
esrj-101556	184	11	borehole	borehole	NOUN
esrj-101556	184	12	resistivity	resistivity	NOUN
esrj-101556	184	13	imaging	imaging	NOUN
esrj-101556	184	14	–	–	PUNCT
esrj-101556	184	15	a	a	DET
esrj-101556	184	16	comparison	comparison	NOUN
esrj-101556	184	17	with	with	ADP
esrj-101556	184	18	the	the	DET
esrj-101556	184	19	msd	msd	NOUN
esrj-101556	184	20	method	method	NOUN
esrj-101556	184	21	parallelized	parallelize	VERB
esrj-101556	184	22	processing	processing	NOUN
esrj-101556	184	23	is	be	AUX
esrj-101556	184	24	recommended	recommend	VERB
esrj-101556	184	25	during	during	ADP
esrj-101556	184	26	application	application	NOUN
esrj-101556	184	27	of	of	ADP
esrj-101556	184	28	hough	hough	PROPN
esrj-101556	184	29	’s	’s	PART
esrj-101556	184	30	transform	transform	NOUN
esrj-101556	184	31	algorithm	algorithm	NOUN
esrj-101556	184	32	to	to	PART
esrj-101556	184	33	reduce	reduce	VERB
esrj-101556	184	34	processing	processing	NOUN
esrj-101556	184	35	times	time	NOUN
esrj-101556	184	36	.	.	PUNCT
esrj-101556	185	1	the	the	DET
esrj-101556	185	2	methodology	methodology	NOUN
esrj-101556	185	3	proposed	propose	VERB
esrj-101556	185	4	is	be	AUX
esrj-101556	185	5	highly	highly	ADV
esrj-101556	185	6	dependent	dependent	ADJ
esrj-101556	185	7	on	on	ADP
esrj-101556	185	8	the	the	DET
esrj-101556	185	9	employed	employ	VERB
esrj-101556	185	10	edge	edge	NOUN
esrj-101556	185	11	detection	detection	NOUN
esrj-101556	185	12	techniques	technique	NOUN
esrj-101556	185	13	;	;	PUNCT
esrj-101556	185	14	the	the	PRON
esrj-101556	185	15	better	well	ADJ
esrj-101556	185	16	the	the	DET
esrj-101556	185	17	edge	edge	NOUN
esrj-101556	185	18	detection	detection	NOUN
esrj-101556	185	19	is	be	AUX
esrj-101556	185	20	,	,	PUNCT
esrj-101556	185	21	the	the	DET
esrj-101556	185	22	better	well	ADJ
esrj-101556	185	23	will	will	AUX
esrj-101556	185	24	be	be	AUX
esrj-101556	185	25	the	the	DET
esrj-101556	185	26	detected	detect	VERB
esrj-101556	185	27	sinusoids	sinusoid	NOUN
esrj-101556	185	28	in	in	ADP
esrj-101556	185	29	the	the	DET
esrj-101556	185	30	image	image	NOUN
esrj-101556	185	31	.	.	PUNCT
esrj-101556	186	1	in	in	ADP
esrj-101556	186	2	this	this	DET
esrj-101556	186	3	work	work	NOUN
esrj-101556	186	4	all	all	DET
esrj-101556	186	5	detected	detect	VERB
esrj-101556	186	6	sinusoids	sinusoid	NOUN
esrj-101556	186	7	are	be	AUX
esrj-101556	186	8	not	not	PART
esrj-101556	186	9	classified	classify	VERB
esrj-101556	186	10	,	,	PUNCT
esrj-101556	186	11	according	accord	VERB
esrj-101556	186	12	its	its	PRON
esrj-101556	186	13	geologic	geologic	ADJ
esrj-101556	186	14	origin	origin	NOUN
esrj-101556	186	15	.	.	PUNCT
esrj-101556	187	1	in	in	ADP
esrj-101556	187	2	order	order	NOUN
esrj-101556	187	3	to	to	PART
esrj-101556	187	4	solve	solve	VERB
esrj-101556	187	5	this	this	DET
esrj-101556	187	6	issue	issue	NOUN
esrj-101556	187	7	,	,	PUNCT
esrj-101556	187	8	classification	classification	NOUN
esrj-101556	187	9	methods	method	NOUN
esrj-101556	187	10	based	base	VERB
esrj-101556	187	11	on	on	ADP
esrj-101556	187	12	machine	machine	NOUN
esrj-101556	187	13	learning	learning	NOUN
esrj-101556	187	14	are	be	AUX
esrj-101556	187	15	recommended	recommend	VERB
esrj-101556	187	16	;	;	PUNCT
esrj-101556	187	17	these	these	DET
esrj-101556	187	18	machines	machine	NOUN
esrj-101556	187	19	can	can	AUX
esrj-101556	187	20	be	be	AUX
esrj-101556	187	21	trained	train	VERB
esrj-101556	187	22	with	with	ADP
esrj-101556	187	23	geologic	geologic	ADJ
esrj-101556	187	24	inputs	input	NOUN
esrj-101556	187	25	from	from	ADP
esrj-101556	187	26	experts	expert	NOUN
esrj-101556	187	27	,	,	PUNCT
esrj-101556	187	28	borehole	borehole	NOUN
esrj-101556	187	29	logs	log	NOUN
esrj-101556	187	30	data	datum	NOUN
esrj-101556	187	31	,	,	PUNCT
esrj-101556	187	32	and	and	CCONJ
esrj-101556	187	33	fractal	fractal	ADJ
esrj-101556	187	34	attributes	attribute	NOUN
esrj-101556	187	35	of	of	ADP
esrj-101556	187	36	borehole	borehole	NOUN
esrj-101556	187	37	imaging	imaging	NOUN
esrj-101556	187	38	,	,	PUNCT
esrj-101556	187	39	as	as	ADP
esrj-101556	187	40	methods	method	NOUN
esrj-101556	187	41	proposed	propose	VERB
esrj-101556	187	42	by	by	ADP
esrj-101556	187	43	leal	leal	NOUN
esrj-101556	187	44	,	,	PUNCT
esrj-101556	187	45	et	et	PROPN
esrj-101556	187	46	al	al	PROPN
esrj-101556	187	47	.	.	PROPN
esrj-101556	187	48	,	,	PUNCT
esrj-101556	187	49	2022	2022	NUM
esrj-101556	187	50	,	,	PUNCT
esrj-101556	187	51	leal	leal	NOUN
esrj-101556	187	52	,	,	PUNCT
esrj-101556	187	53	et	et	PROPN
esrj-101556	187	54	al	al	PROPN
esrj-101556	187	55	.	.	PROPN
esrj-101556	187	56	,	,	PUNCT
esrj-101556	187	57	2018	2018	NUM
esrj-101556	187	58	,	,	PUNCT
esrj-101556	187	59	and	and	CCONJ
esrj-101556	187	60	leal	leal	ADJ
esrj-101556	187	61	,	,	PUNCT
esrj-101556	187	62	et	et	PROPN
esrj-101556	187	63	al	al	PROPN
esrj-101556	187	64	.	.	PROPN
esrj-101556	187	65	,	,	PUNCT
esrj-101556	187	66	2016	2016	NUM
esrj-101556	187	67	.	.	PUNCT
esrj-101556	188	1	acknowledgments	acknowledgment	NOUN
esrj-101556	188	2	the	the	DET
esrj-101556	188	3	authors	author	NOUN
esrj-101556	188	4	would	would	AUX
esrj-101556	188	5	like	like	VERB
esrj-101556	188	6	to	to	PART
esrj-101556	188	7	thank	thank	VERB
esrj-101556	188	8	the	the	DET
esrj-101556	188	9	intelligent	intelligent	ADJ
esrj-101556	188	10	systems	system	NOUN
esrj-101556	188	11	lab	lab	NOUN
esrj-101556	188	12	(	(	PUNCT
esrj-101556	188	13	lisi	lisi	NOUN
esrj-101556	188	14	“	"	PUNCT
esrj-101556	188	15	universidad	universidad	PROPN
esrj-101556	188	16	nacional	nacional	PROPN
esrj-101556	188	17	de	de	X
esrj-101556	188	18	colombia	colombia	PROPN
esrj-101556	188	19	–	–	PUNCT
esrj-101556	188	20	bogotá	bogotá	NOUN
esrj-101556	188	21	”	"	PUNCT
esrj-101556	188	22	)	)	PUNCT
esrj-101556	188	23	,	,	PUNCT
esrj-101556	188	24	for	for	ADP
esrj-101556	188	25	all	all	DET
esrj-101556	188	26	advices	advice	NOUN
esrj-101556	188	27	and	and	CCONJ
esrj-101556	188	28	feedbacks	feedback	NOUN
esrj-101556	188	29	provided	provide	VERB
esrj-101556	188	30	during	during	ADP
esrj-101556	188	31	this	this	DET
esrj-101556	188	32	research	research	NOUN
esrj-101556	188	33	.	.	PUNCT
esrj-101556	189	1	references	reference	NOUN
esrj-101556	189	2	al	al	PROPN
esrj-101556	189	3	-	-	PUNCT
esrj-101556	189	4	sit	sit	PROPN
esrj-101556	189	5	,	,	PUNCT
esrj-101556	189	6	w.	w.	PROPN
esrj-101556	189	7	,	,	PUNCT
esrj-101556	189	8	al	al	PROPN
esrj-101556	189	9	-	-	PUNCT
esrj-101556	189	10	nuaimy	nuaimy	PROPN
esrj-101556	189	11	,	,	PUNCT
esrj-101556	189	12	w.	w.	PROPN
esrj-101556	189	13	,	,	PUNCT
esrj-101556	189	14	marelli	marelli	PROPN
esrj-101556	189	15	,	,	PUNCT
esrj-101556	189	16	m.	m.	NOUN
esrj-101556	189	17	,	,	PUNCT
esrj-101556	189	18	&	&	CCONJ
esrj-101556	189	19	al	al	PROPN
esrj-101556	189	20	-	-	PUNCT
esrj-101556	189	21	ataby	ataby	PROPN
esrj-101556	189	22	,	,	PUNCT
esrj-101556	189	23	a.	a.	NOUN
esrj-101556	189	24	(	(	PUNCT
esrj-101556	189	25	2015	2015	NUM
esrj-101556	189	26	)	)	PUNCT
esrj-101556	189	27	.	.	PUNCT
esrj-101556	190	1	visual	visual	ADJ
esrj-101556	190	2	texture	texture	NOUN
esrj-101556	190	3	for	for	ADP
esrj-101556	190	4	automated	automate	VERB
esrj-101556	190	5	characterisation	characterisation	NOUN
esrj-101556	190	6	of	of	ADP
esrj-101556	190	7	geological	geological	ADJ
esrj-101556	190	8	features	feature	NOUN
esrj-101556	190	9	in	in	ADP
esrj-101556	190	10	borehole	borehole	NOUN
esrj-101556	190	11	televiewer	televiewer	NOUN
esrj-101556	190	12	imagery	imagery	NOUN
esrj-101556	190	13	.	.	PUNCT
esrj-101556	191	1	journal	journal	NOUN
esrj-101556	191	2	of	of	ADP
esrj-101556	191	3	applied	apply	VERB
esrj-101556	191	4	geophysics	geophysic	NOUN
esrj-101556	191	5	,	,	PUNCT
esrj-101556	191	6	119	119	NUM
esrj-101556	191	7	,	,	PUNCT
esrj-101556	191	8	139	139	NUM
esrj-101556	191	9	-	-	SYM
esrj-101556	191	10	146	146	NUM
esrj-101556	191	11	.	.	PUNCT
esrj-101556	192	1	https://doi.org/10.1016/j.jappgeo.2015.05.015	https://doi.org/10.1016/j.jappgeo.2015.05.015	PROPN
esrj-101556	192	2	arora	arora	PROPN
esrj-101556	192	3	,	,	PUNCT
esrj-101556	192	4	n.	n.	NOUN
esrj-101556	192	5	,	,	PUNCT
esrj-101556	192	6	&	&	CCONJ
esrj-101556	192	7	sarvani	sarvani	PROPN
esrj-101556	192	8	,	,	PUNCT
esrj-101556	192	9	g.	g.	PROPN
esrj-101556	192	10	(	(	PUNCT
esrj-101556	192	11	2017	2017	NUM
esrj-101556	192	12	)	)	PUNCT
esrj-101556	192	13	.	.	PUNCT
esrj-101556	193	1	a	a	DET
esrj-101556	193	2	review	review	NOUN
esrj-101556	193	3	paper	paper	NOUN
esrj-101556	193	4	on	on	ADP
esrj-101556	193	5	gabor	gabor	PROPN
esrj-101556	193	6	filter	filter	NOUN
esrj-101556	193	7	algorithm	algorithm	PROPN
esrj-101556	193	8	&	&	CCONJ
esrj-101556	193	9	its	its	PRON
esrj-101556	193	10	application	application	NOUN
esrj-101556	193	11	.	.	PUNCT
esrj-101556	194	1	international	international	ADJ
esrj-101556	194	2	journal	journal	NOUN
esrj-101556	194	3	of	of	ADP
esrj-101556	194	4	advanced	advanced	ADJ
esrj-101556	194	5	research	research	NOUN
esrj-101556	194	6	in	in	ADP
esrj-101556	194	7	electronics	electronic	NOUN
esrj-101556	194	8	and	and	CCONJ
esrj-101556	194	9	communication	communication	NOUN
esrj-101556	194	10	engineering	engineering	NOUN
esrj-101556	194	11	,	,	PUNCT
esrj-101556	194	12	6	6	NUM
esrj-101556	194	13	(	(	PUNCT
esrj-101556	194	14	9	9	NUM
esrj-101556	194	15	)	)	PUNCT
esrj-101556	194	16	,	,	PUNCT
esrj-101556	194	17	1003	1003	NUM
esrj-101556	194	18	-	-	SYM
esrj-101556	194	19	1007	1007	NUM
esrj-101556	194	20	.	.	PUNCT
esrj-101556	195	1	assous	assous	ADJ
esrj-101556	195	2	,	,	PUNCT
esrj-101556	195	3	s.	s.	PROPN
esrj-101556	195	4	,	,	PUNCT
esrj-101556	195	5	elkington	elkington	PROPN
esrj-101556	195	6	,	,	PUNCT
esrj-101556	195	7	p.	p.	PROPN
esrj-101556	195	8	,	,	PUNCT
esrj-101556	195	9	clark	clark	PROPN
esrj-101556	195	10	,	,	PUNCT
esrj-101556	195	11	s.	s.	PROPN
esrj-101556	195	12	,	,	PUNCT
esrj-101556	195	13	&	&	CCONJ
esrj-101556	195	14	whetton	whetton	PROPN
esrj-101556	195	15	,	,	PUNCT
esrj-101556	195	16	j.	j.	PROPN
esrj-101556	195	17	(	(	PUNCT
esrj-101556	195	18	2014	2014	NUM
esrj-101556	195	19	)	)	PUNCT
esrj-101556	195	20	.	.	PUNCT
esrj-101556	196	1	automated	automate	VERB
esrj-101556	196	2	detection	detection	NOUN
esrj-101556	196	3	of	of	ADP
esrj-101556	196	4	planar	planar	ADJ
esrj-101556	196	5	geological	geological	ADJ
esrj-101556	196	6	feature	feature	NOUN
esrj-101556	196	7	in	in	ADP
esrj-101556	196	8	borehole	borehole	NOUN
esrj-101556	196	9	images	image	NOUN
esrj-101556	196	10	.	.	PUNCT
esrj-101556	197	1	society	society	NOUN
esrj-101556	197	2	of	of	ADP
esrj-101556	197	3	exploration	exploration	NOUN
esrj-101556	197	4	geophysicists	geophysicist	NOUN
esrj-101556	197	5	library	library	NOUN
esrj-101556	197	6	,	,	PUNCT
esrj-101556	197	7	79(1	79(1	NOUN
esrj-101556	197	8	)	)	PUNCT
esrj-101556	197	9	,	,	PUNCT
esrj-101556	197	10	11	11	NUM
esrj-101556	197	11	-	-	SYM
esrj-101556	197	12	19	19	NUM
esrj-101556	197	13	.	.	PUNCT
esrj-101556	198	1	https://doi.org/10.1190/geo20130189.1	https://doi.org/10.1190/geo20130189.1	PRON
esrj-101556	198	2	bradski	bradski	PROPN
esrj-101556	198	3	,	,	PUNCT
esrj-101556	198	4	g.	g.	PROPN
esrj-101556	198	5	(	(	PUNCT
esrj-101556	198	6	2000	2000	NUM
esrj-101556	198	7	)	)	PUNCT
esrj-101556	198	8	.	.	PUNCT
esrj-101556	199	1	the	the	DET
esrj-101556	199	2	opencv	opencv	PROPN
esrj-101556	199	3	library	library	NOUN
esrj-101556	199	4	.	.	PUNCT
esrj-101556	200	1	dr	dr	PROPN
esrj-101556	200	2	.	.	PROPN
esrj-101556	200	3	dobb	dobb	PROPN
esrj-101556	200	4	’s	’s	PART
esrj-101556	200	5	journal	journal	PROPN
esrj-101556	200	6	of	of	ADP
esrj-101556	200	7	software	software	NOUN
esrj-101556	200	8	tools	tool	NOUN
esrj-101556	200	9	.	.	PUNCT
esrj-101556	201	1	dr	dr	PROPN
esrj-101556	201	2	.	.	PROPN
esrj-101556	201	3	120	120	NUM
esrj-101556	201	4	,	,	PUNCT
esrj-101556	201	5	121	121	NUM
esrj-101556	201	6	-	-	SYM
esrj-101556	201	7	123	123	NUM
esrj-101556	201	8	.	.	PUNCT
esrj-101556	202	1	gabor	gabor	PROPN
esrj-101556	202	2	,	,	PUNCT
esrj-101556	202	3	d.	d.	PROPN
esrj-101556	202	4	(	(	PUNCT
esrj-101556	202	5	1946	1946	NUM
esrj-101556	202	6	)	)	PUNCT
esrj-101556	202	7	.	.	PUNCT
esrj-101556	203	1	theory	theory	NOUN
esrj-101556	203	2	of	of	ADP
esrj-101556	203	3	communication	communication	NOUN
esrj-101556	203	4	.	.	PUNCT
esrj-101556	204	1	journal	journal	NOUN
esrj-101556	204	2	of	of	ADP
esrj-101556	204	3	institution	institution	NOUN
esrj-101556	204	4	of	of	ADP
esrj-101556	204	5	electrical	electrical	ADJ
esrj-101556	204	6	engineers	engineer	NOUN
esrj-101556	204	7	,	,	PUNCT
esrj-101556	204	8	93(3	93(3	NUM
esrj-101556	204	9	)	)	PUNCT
esrj-101556	204	10	,	,	PUNCT
esrj-101556	204	11	429	429	NUM
esrj-101556	204	12	-	-	SYM
esrj-101556	204	13	457	457	NUM
esrj-101556	204	14	.	.	PUNCT
esrj-101556	205	1	grace	grace	NOUN
esrj-101556	205	2	,	,	PUNCT
esrj-101556	205	3	m.	m.	NOUN
esrj-101556	205	4	,	,	PUNCT
esrj-101556	205	5	newberry	newberry	PROPN
esrj-101556	205	6	,	,	PUNCT
esrj-101556	205	7	b.	b.	PROPN
esrj-101556	205	8	,	,	PUNCT
esrj-101556	205	9	hansen	hansen	PROPN
esrj-101556	205	10	,	,	PUNCT
esrj-101556	205	11	s.	s.	PROPN
esrj-101556	205	12	,	,	PUNCT
esrj-101556	205	13	berlitz	berlitz	PROPN
esrj-101556	205	14	,	,	PUNCT
esrj-101556	205	15	r.	r.	PROPN
esrj-101556	205	16	,	,	PUNCT
esrj-101556	205	17	cox	cox	PROPN
esrj-101556	205	18	,	,	PUNCT
esrj-101556	205	19	j.	j.	PROPN
esrj-101556	205	20	,	,	PUNCT
esrj-101556	205	21	davis	davis	PROPN
esrj-101556	205	22	,	,	PUNCT
esrj-101556	205	23	b.	b.	PROPN
esrj-101556	205	24	,	,	PUNCT
esrj-101556	205	25	fremgen	fremgen	PROPN
esrj-101556	205	26	,	,	PUNCT
esrj-101556	205	27	s.	s.	PROPN
esrj-101556	205	28	&	&	CCONJ
esrj-101556	205	29	gilreath	gilreath	PROPN
esrj-101556	205	30	,	,	PUNCT
esrj-101556	205	31	j.	j.	PROPN
esrj-101556	205	32	(	(	PUNCT
esrj-101556	205	33	2000	2000	NUM
esrj-101556	205	34	)	)	PUNCT
esrj-101556	205	35	.	.	PUNCT
esrj-101556	206	1	geologic	geologic	ADJ
esrj-101556	206	2	applications	application	NOUN
esrj-101556	206	3	of	of	ADP
esrj-101556	206	4	dipmeter	dipmeter	NOUN
esrj-101556	206	5	and	and	CCONJ
esrj-101556	206	6	borehole	borehole	NOUN
esrj-101556	206	7	images	image	NOUN
esrj-101556	206	8	.	.	PUNCT
esrj-101556	207	1	schlumberger	schlumberger	NOUN
esrj-101556	207	2	educational	educational	PROPN
esrj-101556	207	3	,	,	PUNCT
esrj-101556	207	4	cambridge	cambridge	PROPN
esrj-101556	207	5	,	,	PUNCT
esrj-101556	207	6	the	the	DET
esrj-101556	207	7	united	united	PROPN
esrj-101556	207	8	states	states	PROPN
esrj-101556	207	9	of	of	ADP
esrj-101556	207	10	america	america	PROPN
esrj-101556	207	11	,	,	PUNCT
esrj-101556	207	12	21pp	21pp	PROPN
esrj-101556	207	13	.	.	PUNCT
esrj-101556	208	1	harris	harris	PROPN
esrj-101556	208	2	,	,	PUNCT
esrj-101556	208	3	c.	c.	PROPN
esrj-101556	208	4	r.	r.	PROPN
esrj-101556	208	5	,	,	PUNCT
esrj-101556	208	6	millman	millman	NOUN
esrj-101556	208	7	,	,	PUNCT
esrj-101556	208	8	k.	k.	PROPN
esrj-101556	208	9	j.	j.	PROPN
esrj-101556	208	10	,	,	PUNCT
esrj-101556	208	11	gommers	gommer	NOUN
esrj-101556	208	12	,	,	PUNCT
esrj-101556	208	13	r.	r.	PROPN
esrj-101556	208	14	,	,	PUNCT
esrj-101556	208	15	virtanen	virtanen	NOUN
esrj-101556	208	16	,	,	PUNCT
esrj-101556	208	17	p.	p.	NOUN
esrj-101556	208	18	,	,	PUNCT
esrj-101556	208	19	cournapeau	cournapeau	PROPN
esrj-101556	208	20	,	,	PUNCT
esrj-101556	208	21	d.	d.	PROPN
esrj-101556	208	22	,	,	PUNCT
esrj-101556	208	23	wieser	wieser	PROPN
esrj-101556	208	24	,	,	PUNCT
esrj-101556	208	25	e.	e.	PROPN
esrj-101556	208	26	,	,	PUNCT
esrj-101556	208	27	taylor	taylor	PROPN
esrj-101556	208	28	,	,	PUNCT
esrj-101556	208	29	j.	j.	PROPN
esrj-101556	208	30	,	,	PUNCT
esrj-101556	208	31	berg	berg	PROPN
esrj-101556	208	32	,	,	PUNCT
esrj-101556	208	33	s.	s.	PROPN
esrj-101556	208	34	,	,	PUNCT
esrj-101556	208	35	smith	smith	PROPN
esrj-101556	208	36	,	,	PUNCT
esrj-101556	208	37	n.	n.	PROPN
esrj-101556	208	38	j.	j.	PROPN
esrj-101556	208	39	,	,	PUNCT
esrj-101556	208	40	kern	kern	PROPN
esrj-101556	208	41	,	,	PUNCT
esrj-101556	208	42	r.	r.	PROPN
esrj-101556	208	43	,	,	PUNCT
esrj-101556	208	44	picus	picus	PROPN
esrj-101556	208	45	,	,	PUNCT
esrj-101556	208	46	m.	m.	NOUN
esrj-101556	208	47	,	,	PUNCT
esrj-101556	208	48	hoyer	hoyer	PROPN
esrj-101556	208	49	,	,	PUNCT
esrj-101556	208	50	s.	s.	PROPN
esrj-101556	208	51	,	,	PUNCT
esrj-101556	208	52	van	van	PROPN
esrj-101556	208	53	kerkwijk	kerkwijk	PROPN
esrj-101556	208	54	,	,	PUNCT
esrj-101556	208	55	m.	m.	PROPN
esrj-101556	208	56	h.	h.	PROPN
esrj-101556	208	57	,	,	PUNCT
esrj-101556	208	58	brett	brett	PROPN
esrj-101556	208	59	,	,	PUNCT
esrj-101556	208	60	m.	m.	NOUN
esrj-101556	208	61	,	,	PUNCT
esrj-101556	208	62	haldane	haldane	PROPN
esrj-101556	208	63	,	,	PUNCT
esrj-101556	208	64	a.	a.	PROPN
esrj-101556	208	65	,	,	PUNCT
esrj-101556	208	66	del	del	PROPN
esrj-101556	208	67	río	río	PROPN
esrj-101556	208	68	,	,	PUNCT
esrj-101556	208	69	j.	j.	PROPN
esrj-101556	208	70	f.	f.	PROPN
esrj-101556	208	71	,	,	PUNCT
esrj-101556	208	72	wiebe	wiebe	PROPN
esrj-101556	208	73	,	,	PUNCT
esrj-101556	208	74	m.	m.	NOUN
esrj-101556	208	75	,	,	PUNCT
esrj-101556	208	76	peterson	peterson	PROPN
esrj-101556	208	77	,	,	PUNCT
esrj-101556	208	78	p.	p.	PROPN
esrj-101556	208	79	,	,	PUNCT
esrj-101556	208	80	.	.	PUNCT
esrj-101556	208	81	.	.	PUNCT
esrj-101556	208	82	.	.	PUNCT
esrj-101556	209	1	oliphant	oliphant	PROPN
esrj-101556	209	2	,	,	PUNCT
esrj-101556	209	3	t.	t.	PROPN
esrj-101556	209	4	e.	e.	PROPN
esrj-101556	209	5	(	(	PUNCT
esrj-101556	209	6	2020	2020	NUM
esrj-101556	209	7	)	)	PUNCT
esrj-101556	209	8	.	.	PUNCT
esrj-101556	210	1	array	array	NOUN
esrj-101556	210	2	programming	program	VERB
esrj-101556	210	3	with	with	ADP
esrj-101556	210	4	numpy	numpy	NOUN
esrj-101556	210	5	.	.	PUNCT
esrj-101556	211	1	nature	nature	NOUN
esrj-101556	211	2	,	,	PUNCT
esrj-101556	211	3	585(7825	585(7825	NUM
esrj-101556	211	4	)	)	PUNCT
esrj-101556	211	5	,	,	PUNCT
esrj-101556	211	6	357	357	NUM
esrj-101556	211	7	-	-	SYM
esrj-101556	211	8	362	362	NUM
esrj-101556	211	9	.	.	PUNCT
esrj-101556	212	1	https://doi.org/10.1038/s41586-020-2649-2	https://doi.org/10.1038/s41586-020-2649-2	PROPN
esrj-101556	212	2	khan	khan	PROPN
esrj-101556	212	3	,	,	PUNCT
esrj-101556	212	4	j.	j.	PROPN
esrj-101556	212	5	(	(	PUNCT
esrj-101556	212	6	2019	2019	NUM
esrj-101556	212	7	)	)	PUNCT
esrj-101556	212	8	.	.	PUNCT
esrj-101556	213	1	guide	guide	VERB
esrj-101556	213	2	to	to	ADP
esrj-101556	213	3	image	image	NOUN
esrj-101556	213	4	inpainting	inpainting	NOUN
esrj-101556	213	5	:	:	PUNCT
esrj-101556	213	6	using	use	VERB
esrj-101556	213	7	machine	machine	NOUN
esrj-101556	213	8	learning	learn	VERB
esrj-101556	213	9	to	to	PART
esrj-101556	213	10	edit	edit	VERB
esrj-101556	213	11	and	and	CCONJ
esrj-101556	213	12	correct	correct	ADJ
esrj-101556	213	13	defects	defect	NOUN
esrj-101556	213	14	in	in	ADP
esrj-101556	213	15	photos	photo	NOUN
esrj-101556	213	16	.	.	PUNCT
esrj-101556	214	1	https://heartbeat.fritz.ai/guide-to-image-inpainting-using-machine-learning-to-edit-and-correct-defects-in-photos3c1b0e13bbd0	https://heartbeat.fritz.ai/guide-to-image-inpainting-using-machine-learning-to-edit-and-correct-defects-in-photos3c1b0e13bbd0	PROPN
esrj-101556	214	2	(	(	PUNCT
esrj-101556	214	3	last	last	ADV
esrj-101556	214	4	accessed	access	VERB
esrj-101556	214	5	june	june	PROPN
esrj-101556	214	6	2019	2019	NUM
esrj-101556	214	7	)	)	PUNCT
esrj-101556	214	8	.	.	PUNCT
esrj-101556	215	1	leal	leal	PROPN
esrj-101556	215	2	,	,	PUNCT
esrj-101556	215	3	j.	j.	PROPN
esrj-101556	215	4	,	,	PUNCT
esrj-101556	215	5	ochoa	ochoa	PROPN
esrj-101556	215	6	,	,	PUNCT
esrj-101556	215	7	l.	l.	PROPN
esrj-101556	215	8	,	,	PUNCT
esrj-101556	215	9	&	&	CCONJ
esrj-101556	215	10	sarmiento	sarmiento	PROPN
esrj-101556	215	11	,	,	PUNCT
esrj-101556	215	12	g.	g.	PROPN
esrj-101556	215	13	(	(	PUNCT
esrj-101556	215	14	2022	2022	NUM
esrj-101556	215	15	)	)	PUNCT
esrj-101556	215	16	.	.	PUNCT
esrj-101556	216	1	content	content	NOUN
esrj-101556	216	2	of	of	ADP
esrj-101556	216	3	total	total	ADJ
esrj-101556	216	4	organic	organic	ADJ
esrj-101556	216	5	carbon	carbon	NOUN
esrj-101556	216	6	using	use	VERB
esrj-101556	216	7	random	random	ADJ
esrj-101556	216	8	forest	forest	NOUN
esrj-101556	216	9	,	,	PUNCT
esrj-101556	216	10	borehole	borehole	NOUN
esrj-101556	216	11	imaging	imaging	NOUN
esrj-101556	216	12	,	,	PUNCT
esrj-101556	216	13	and	and	CCONJ
esrj-101556	216	14	fractal	fractal	ADJ
esrj-101556	216	15	analysis	analysis	NOUN
esrj-101556	216	16	:	:	PUNCT
esrj-101556	216	17	a	a	DET
esrj-101556	216	18	methodology	methodology	NOUN
esrj-101556	216	19	applied	apply	VERB
esrj-101556	216	20	in	in	ADP
esrj-101556	216	21	the	the	DET
esrj-101556	216	22	cretaceous	cretaceous	ADJ
esrj-101556	216	23	la	la	PROPN
esrj-101556	216	24	luna	luna	PROPN
esrj-101556	216	25	formation	formation	PROPN
esrj-101556	216	26	,	,	PUNCT
esrj-101556	216	27	south	south	PROPN
esrj-101556	216	28	america	america	PROPN
esrj-101556	216	29	.	.	PUNCT
esrj-101556	217	1	geofísica	geofísica	PROPN
esrj-101556	217	2	internacional	internacional	PROPN
esrj-101556	217	3	,	,	PUNCT
esrj-101556	217	4	61(4	61(4	NUM
esrj-101556	217	5	)	)	PUNCT
esrj-101556	217	6	,	,	PUNCT
esrj-101556	217	7	301–323	301–323	NUM
esrj-101556	217	8	.	.	PUNCT
esrj-101556	218	1	leal	leal	PROPN
esrj-101556	218	2	,	,	PUNCT
esrj-101556	218	3	j.	j.	PROPN
esrj-101556	218	4	,	,	PUNCT
esrj-101556	218	5	ochoa	ochoa	PROPN
esrj-101556	218	6	,	,	PUNCT
esrj-101556	218	7	l.	l.	PROPN
esrj-101556	218	8	,	,	PUNCT
esrj-101556	218	9	&	&	CCONJ
esrj-101556	218	10	contreras	contreras	PROPN
esrj-101556	218	11	,	,	PUNCT
esrj-101556	218	12	c.	c.	PROPN
esrj-101556	218	13	(	(	PUNCT
esrj-101556	218	14	2018	2018	NUM
esrj-101556	218	15	)	)	PUNCT
esrj-101556	218	16	.	.	PUNCT
esrj-101556	219	1	automatic	automatic	ADJ
esrj-101556	219	2	identification	identification	NOUN
esrj-101556	219	3	of	of	ADP
esrj-101556	219	4	calcareous	calcareous	ADJ
esrj-101556	219	5	lithologies	lithology	NOUN
esrj-101556	219	6	using	use	VERB
esrj-101556	219	7	support	support	NOUN
esrj-101556	219	8	vector	vector	NOUN
esrj-101556	219	9	machines	machine	NOUN
esrj-101556	219	10	,	,	PUNCT
esrj-101556	219	11	borehole	borehole	NOUN
esrj-101556	219	12	logs	log	NOUN
esrj-101556	219	13	and	and	CCONJ
esrj-101556	219	14	fractal	fractal	ADJ
esrj-101556	219	15	dimension	dimension	NOUN
esrj-101556	219	16	of	of	ADP
esrj-101556	219	17	borehole	borehole	NOUN
esrj-101556	219	18	electrical	electrical	ADJ
esrj-101556	219	19	imaging	imaging	NOUN
esrj-101556	219	20	.	.	PUNCT
esrj-101556	220	1	earth	earth	PROPN
esrj-101556	220	2	sciences	sciences	PROPN
esrj-101556	220	3	research	research	PROPN
esrj-101556	220	4	journal	journal	NOUN
esrj-101556	220	5	,	,	PUNCT
esrj-101556	220	6	22	22	NUM
esrj-101556	220	7	(	(	PUNCT
esrj-101556	220	8	2	2	NUM
esrj-101556	220	9	)	)	PUNCT
esrj-101556	220	10	,	,	PUNCT
esrj-101556	220	11	75	75	NUM
esrj-101556	220	12	-	-	SYM
esrj-101556	220	13	82	82	NUM
esrj-101556	220	14	.	.	PUNCT
esrj-101556	220	15	https://doi.org/10.15446/esrj.v22n2.68320	https://doi.org/10.15446/esrj.v22n2.68320	X
esrj-101556	220	16	leal	leal	PROPN
esrj-101556	220	17	,	,	PUNCT
esrj-101556	220	18	j.	j.	PROPN
esrj-101556	220	19	,	,	PUNCT
esrj-101556	220	20	ochoa	ochoa	PROPN
esrj-101556	220	21	,	,	PUNCT
esrj-101556	220	22	l.	l.	PROPN
esrj-101556	220	23	,	,	PUNCT
esrj-101556	220	24	&	&	CCONJ
esrj-101556	220	25	garcia	garcia	PROPN
esrj-101556	220	26	,	,	PUNCT
esrj-101556	220	27	j.	j.	PROPN
esrj-101556	220	28	(	(	PUNCT
esrj-101556	220	29	2016	2016	NUM
esrj-101556	220	30	)	)	PUNCT
esrj-101556	220	31	.	.	PUNCT
esrj-101556	221	1	identification	identification	NOUN
esrj-101556	221	2	of	of	ADP
esrj-101556	221	3	natural	natural	ADJ
esrj-101556	221	4	fractures	fracture	NOUN
esrj-101556	221	5	using	use	VERB
esrj-101556	221	6	resistive	resistive	ADJ
esrj-101556	221	7	image	image	NOUN
esrj-101556	221	8	logs	log	NOUN
esrj-101556	221	9	,	,	PUNCT
esrj-101556	221	10	fractal	fractal	ADJ
esrj-101556	221	11	dimension	dimension	NOUN
esrj-101556	221	12	and	and	CCONJ
esrj-101556	221	13	support	support	VERB
esrj-101556	221	14	vector	vector	NOUN
esrj-101556	221	15	machines	machine	NOUN
esrj-101556	221	16	.	.	PUNCT
esrj-101556	222	1	ingeniería	ingeniería	PROPN
esrj-101556	222	2	e	e	PROPN
esrj-101556	222	3	investigación	investigación	PROPN
esrj-101556	222	4	,	,	PUNCT
esrj-101556	222	5	36	36	NUM
esrj-101556	222	6	(	(	PUNCT
esrj-101556	222	7	3	3	NUM
esrj-101556	222	8	)	)	PUNCT
esrj-101556	222	9	,	,	PUNCT
esrj-101556	222	10	125	125	NUM
esrj-101556	222	11	-	-	SYM
esrj-101556	222	12	132	132	NUM
esrj-101556	222	13	.	.	PUNCT
esrj-101556	223	1	http://dx.doi.org/10.15446/	http://dx.doi.org/10.15446/	ADJ
esrj-101556	223	2	ing.investig.v36n3.56198	ing.investig.v36n3.56198	ADJ
esrj-101556	223	3	lindeberg	lindeberg	NOUN
esrj-101556	223	4	,	,	PUNCT
esrj-101556	223	5	t.	t.	PROPN
esrj-101556	223	6	(	(	PUNCT
esrj-101556	223	7	1996	1996	NUM
esrj-101556	223	8	)	)	PUNCT
esrj-101556	223	9	.	.	PUNCT
esrj-101556	224	1	edge	edge	NOUN
esrj-101556	224	2	detection	detection	NOUN
esrj-101556	224	3	and	and	CCONJ
esrj-101556	224	4	ridge	ridge	NOUN
esrj-101556	224	5	detection	detection	NOUN
esrj-101556	224	6	with	with	ADP
esrj-101556	224	7	automatic	automatic	ADJ
esrj-101556	224	8	scale	scale	NOUN
esrj-101556	224	9	selection	selection	NOUN
esrj-101556	224	10	.	.	PUNCT
esrj-101556	225	1	international	international	ADJ
esrj-101556	225	2	journal	journal	PROPN
esrj-101556	225	3	of	of	ADP
esrj-101556	225	4	computer	computer	NOUN
esrj-101556	225	5	vision	vision	NOUN
esrj-101556	225	6	,	,	PUNCT
esrj-101556	225	7	30(2	30(2	NUM
esrj-101556	225	8	)	)	PUNCT
esrj-101556	225	9	,	,	PUNCT
esrj-101556	225	10	465	465	NUM
esrj-101556	225	11	-	-	SYM
esrj-101556	225	12	470	470	NUM
esrj-101556	225	13	.	.	PUNCT
esrj-101556	226	1	maynberg	maynberg	PROPN
esrj-101556	226	2	,	,	PUNCT
esrj-101556	226	3	o.	o.	PROPN
esrj-101556	226	4	,	,	PUNCT
esrj-101556	226	5	&	&	CCONJ
esrj-101556	226	6	kush	kush	NOUN
esrj-101556	226	7	,	,	PUNCT
esrj-101556	226	8	g.	g.	PROPN
esrj-101556	226	9	(	(	PUNCT
esrj-101556	226	10	2013	2013	NUM
esrj-101556	226	11	)	)	PUNCT
esrj-101556	226	12	.	.	PUNCT
esrj-101556	227	1	airborne	airborne	ADJ
esrj-101556	227	2	crown	crown	NOUN
esrj-101556	227	3	density	density	NOUN
esrj-101556	227	4	estimation	estimation	NOUN
esrj-101556	227	5	.	.	PUNCT
esrj-101556	228	1	international	international	ADJ
esrj-101556	228	2	society	society	NOUN
esrj-101556	228	3	for	for	ADP
esrj-101556	228	4	photogrammetry	photogrammetry	NOUN
esrj-101556	228	5	and	and	CCONJ
esrj-101556	228	6	remote	remote	ADJ
esrj-101556	228	7	sensing	sensing	NOUN
esrj-101556	228	8	,	,	PUNCT
esrj-101556	228	9	2(49	2(49	NUM
esrj-101556	228	10	)	)	PUNCT
esrj-101556	228	11	,	,	PUNCT
esrj-101556	228	12	49	49	NUM
esrj-101556	228	13	-	-	SYM
esrj-101556	228	14	54	54	NUM
esrj-101556	228	15	.	.	PUNCT
esrj-101556	229	1	mckinney	mckinney	PROPN
esrj-101556	229	2	,	,	PUNCT
esrj-101556	229	3	w.	w.	PROPN
esrj-101556	229	4	(	(	PUNCT
esrj-101556	229	5	2010	2010	NUM
esrj-101556	229	6	)	)	PUNCT
esrj-101556	229	7	.	.	PUNCT
esrj-101556	230	1	data	datum	NOUN
esrj-101556	230	2	structures	structure	NOUN
esrj-101556	230	3	for	for	ADP
esrj-101556	230	4	statistical	statistical	ADJ
esrj-101556	230	5	computing	computing	NOUN
esrj-101556	230	6	in	in	ADP
esrj-101556	230	7	python	python	PROPN
esrj-101556	230	8	.	.	PUNCT
esrj-101556	231	1	proceedings	proceeding	NOUN
esrj-101556	231	2	of	of	ADP
esrj-101556	231	3	the	the	DET
esrj-101556	231	4	9th	9th	ADJ
esrj-101556	231	5	python	python	NOUN
esrj-101556	231	6	in	in	ADP
esrj-101556	231	7	science	science	NOUN
esrj-101556	231	8	conference	conference	PROPN
esrj-101556	231	9	,	,	PUNCT
esrj-101556	231	10	austin	austin	PROPN
esrj-101556	231	11	,	,	PUNCT
esrj-101556	231	12	the	the	DET
esrj-101556	231	13	united	united	PROPN
esrj-101556	231	14	states	states	PROPN
esrj-101556	231	15	of	of	ADP
esrj-101556	231	16	america	america	PROPN
esrj-101556	231	17	,	,	PUNCT
esrj-101556	231	18	56pp	56pp	NOUN
esrj-101556	231	19	.	.	PUNCT
esrj-101556	232	1	negi	negi	PROPN
esrj-101556	232	2	,	,	PUNCT
esrj-101556	232	3	n.	n.	PROPN
esrj-101556	232	4	&	&	CCONJ
esrj-101556	232	5	mathur	mathur	PROPN
esrj-101556	232	6	,	,	PUNCT
esrj-101556	232	7	s.	s.	PROPN
esrj-101556	232	8	(	(	PUNCT
esrj-101556	232	9	2015	2015	NUM
esrj-101556	232	10	)	)	PUNCT
esrj-101556	232	11	.	.	PUNCT
esrj-101556	233	1	an	an	DET
esrj-101556	233	2	improved	improved	ADJ
esrj-101556	233	3	method	method	NOUN
esrj-101556	233	4	of	of	ADP
esrj-101556	233	5	edge	edge	NOUN
esrj-101556	233	6	detection	detection	NOUN
esrj-101556	233	7	based	base	VERB
esrj-101556	233	8	on	on	ADP
esrj-101556	233	9	gabor	gabor	PROPN
esrj-101556	233	10	wavelet	wavelet	PROPN
esrj-101556	233	11	transform	transform	NOUN
esrj-101556	233	12	.	.	PUNCT
esrj-101556	234	1	recent	recent	ADJ
esrj-101556	234	2	advances	advance	NOUN
esrj-101556	234	3	in	in	ADP
esrj-101556	234	4	electrical	electrical	ADJ
esrj-101556	234	5	engineering	engineering	NOUN
esrj-101556	234	6	and	and	CCONJ
esrj-101556	234	7	electronic	electronic	ADJ
esrj-101556	234	8	devices	device	NOUN
esrj-101556	234	9	,	,	PUNCT
esrj-101556	234	10	1(2	1(2	NUM
esrj-101556	234	11	)	)	PUNCT
esrj-101556	234	12	,	,	PUNCT
esrj-101556	234	13	184	184	NUM
esrj-101556	234	14	-	-	SYM
esrj-101556	234	15	191	191	NUM
esrj-101556	234	16	.	.	PUNCT
esrj-101556	235	1	pratt	pratt	PROPN
esrj-101556	235	2	,	,	PUNCT
esrj-101556	235	3	w.	w.	PROPN
esrj-101556	235	4	(	(	PUNCT
esrj-101556	235	5	2007	2007	NUM
esrj-101556	235	6	)	)	PUNCT
esrj-101556	235	7	.	.	PUNCT
esrj-101556	236	1	digital	digital	ADJ
esrj-101556	236	2	image	image	NOUN
esrj-101556	236	3	processing	processing	NOUN
esrj-101556	236	4	.	.	PUNCT
esrj-101556	237	1	fourth	fourth	PROPN
esrj-101556	237	2	edition	edition	PROPN
esrj-101556	237	3	.	.	PUNCT
esrj-101556	238	1	john	john	PROPN
esrj-101556	238	2	wiley	wiley	PROPN
esrj-101556	238	3	and	and	CCONJ
esrj-101556	238	4	sons	son	NOUN
esrj-101556	238	5	,	,	PUNCT
esrj-101556	238	6	los	los	PROPN
esrj-101556	238	7	altos	altos	PROPN
esrj-101556	238	8	,	,	PUNCT
esrj-101556	238	9	the	the	DET
esrj-101556	238	10	united	united	PROPN
esrj-101556	238	11	states	states	PROPN
esrj-101556	238	12	of	of	ADP
esrj-101556	238	13	america	america	PROPN
esrj-101556	238	14	,	,	PUNCT
esrj-101556	238	15	420pp	420pp	PROPN
esrj-101556	238	16	.	.	PUNCT
esrj-101556	239	1	ranjay	ranjay	VERB
esrj-101556	239	2	,	,	PUNCT
esrj-101556	239	3	k.	k.	PROPN
esrj-101556	239	4	(	(	PUNCT
esrj-101556	239	5	2017	2017	NUM
esrj-101556	239	6	)	)	PUNCT
esrj-101556	239	7	.	.	PUNCT
esrj-101556	240	1	computer	computer	NOUN
esrj-101556	240	2	vision	vision	NOUN
esrj-101556	240	3	:	:	PUNCT
esrj-101556	240	4	foundations	foundation	NOUN
esrj-101556	240	5	and	and	CCONJ
esrj-101556	240	6	applications	application	NOUN
esrj-101556	240	7	.	.	PUNCT
esrj-101556	241	1	stanford	stanford	PROPN
esrj-101556	241	2	university	university	PROPN
esrj-101556	241	3	,	,	PUNCT
esrj-101556	241	4	stanford	stanford	PROPN
esrj-101556	241	5	,	,	PUNCT
esrj-101556	241	6	the	the	DET
esrj-101556	241	7	united	united	PROPN
esrj-101556	241	8	states	states	PROPN
esrj-101556	241	9	of	of	ADP
esrj-101556	241	10	america	america	PROPN
esrj-101556	241	11	,	,	PUNCT
esrj-101556	241	12	18pp	18pp	ADJ
esrj-101556	241	13	.	.	PUNCT
esrj-101556	242	1	rider	rider	NOUN
esrj-101556	242	2	,	,	PUNCT
esrj-101556	242	3	m.	m.	NOUN
esrj-101556	242	4	(	(	PUNCT
esrj-101556	242	5	2000	2000	NUM
esrj-101556	242	6	)	)	PUNCT
esrj-101556	242	7	.	.	PUNCT
esrj-101556	243	1	the	the	DET
esrj-101556	243	2	geological	geological	ADJ
esrj-101556	243	3	interpretation	interpretation	NOUN
esrj-101556	243	4	of	of	ADP
esrj-101556	243	5	well	well	ADV
esrj-101556	243	6	logs	log	NOUN
esrj-101556	243	7	second	second	PROPN
esrj-101556	243	8	edition	edition	NOUN
esrj-101556	243	9	.	.	PUNCT
esrj-101556	244	1	french	french	PROPN
esrj-101556	244	2	consulting	consulting	PROPN
esrj-101556	244	3	ltd	ltd	PROPN
esrj-101556	244	4	,	,	PUNCT
esrj-101556	244	5	sutherland	sutherland	PROPN
esrj-101556	244	6	,	,	PUNCT
esrj-101556	244	7	united	united	ADJ
esrj-101556	244	8	kingdom	kingdom	PROPN
esrj-101556	244	9	,	,	PUNCT
esrj-101556	244	10	173pp	173pp	NOUN
esrj-101556	244	11	.	.	PUNCT
esrj-101556	245	1	shapiro	shapiro	PROPN
esrj-101556	245	2	,	,	PUNCT
esrj-101556	245	3	l.	l.	PROPN
esrj-101556	245	4	,	,	PUNCT
esrj-101556	245	5	&	&	CCONJ
esrj-101556	245	6	stockman	stockman	PROPN
esrj-101556	245	7	,	,	PUNCT
esrj-101556	245	8	g.	g.	PROPN
esrj-101556	245	9	(	(	PUNCT
esrj-101556	245	10	2001	2001	NUM
esrj-101556	245	11	)	)	PUNCT
esrj-101556	245	12	.	.	PUNCT
esrj-101556	246	1	computer	computer	NOUN
esrj-101556	246	2	vision	vision	NOUN
esrj-101556	246	3	.	.	PUNCT
esrj-101556	247	1	the	the	DET
esrj-101556	247	2	university	university	PROPN
esrj-101556	247	3	of	of	ADP
esrj-101556	247	4	washington	washington	PROPN
esrj-101556	247	5	,	,	PUNCT
esrj-101556	247	6	seattle	seattle	PROPN
esrj-101556	247	7	,	,	PUNCT
esrj-101556	247	8	the	the	DET
esrj-101556	247	9	united	united	PROPN
esrj-101556	247	10	states	states	PROPN
esrj-101556	247	11	of	of	ADP
esrj-101556	247	12	america	america	PROPN
esrj-101556	247	13	,	,	PUNCT
esrj-101556	247	14	107pp	107pp	PROPN
esrj-101556	247	15	.	.	PUNCT
esrj-101556	248	1	tan	tan	PROPN
esrj-101556	248	2	,	,	PUNCT
esrj-101556	248	3	t.	t.	PROPN
esrj-101556	248	4	,	,	PUNCT
esrj-101556	248	5	stainbach	stainbach	ADJ
esrj-101556	248	6	m.	m.	NOUN
esrj-101556	248	7	&	&	CCONJ
esrj-101556	248	8	kumar	kumar	PROPN
esrj-101556	248	9	,	,	PUNCT
esrj-101556	248	10	v.	v.	PROPN
esrj-101556	248	11	(	(	PUNCT
esrj-101556	248	12	2006	2006	NUM
esrj-101556	248	13	)	)	PUNCT
esrj-101556	248	14	.	.	PUNCT
esrj-101556	249	1	introduction	introduction	NOUN
esrj-101556	249	2	to	to	ADP
esrj-101556	249	3	data	datum	NOUN
esrj-101556	249	4	mining	mining	NOUN
esrj-101556	249	5	.	.	PUNCT
esrj-101556	250	1	pearson	pearson	PROPN
esrj-101556	250	2	addison	addison	PROPN
esrj-101556	250	3	-	-	PUNCT
esrj-101556	250	4	wesley	wesley	PROPN
esrj-101556	250	5	,	,	PUNCT
esrj-101556	250	6	boston	boston	PROPN
esrj-101556	250	7	,	,	PUNCT
esrj-101556	250	8	the	the	DET
esrj-101556	250	9	united	united	PROPN
esrj-101556	250	10	states	states	PROPN
esrj-101556	250	11	of	of	ADP
esrj-101556	250	12	america	america	PROPN
esrj-101556	250	13	,	,	PUNCT
esrj-101556	250	14	525pp	525pp	PROPN
esrj-101556	250	15	.	.	PUNCT
esrj-101556	251	1	telea	telea	PROPN
esrj-101556	251	2	,	,	PUNCT
esrj-101556	251	3	a.	a.	NOUN
esrj-101556	251	4	(	(	PUNCT
esrj-101556	251	5	2004	2004	NUM
esrj-101556	251	6	)	)	PUNCT
esrj-101556	251	7	.	.	PUNCT
esrj-101556	252	1	an	an	DET
esrj-101556	252	2	image	image	NOUN
esrj-101556	252	3	inpainting	inpainte	VERB
esrj-101556	252	4	technique	technique	NOUN
esrj-101556	252	5	based	base	VERB
esrj-101556	252	6	on	on	ADP
esrj-101556	252	7	the	the	DET
esrj-101556	252	8	fast	fast	ADJ
esrj-101556	252	9	marching	marching	NOUN
esrj-101556	252	10	method	method	NOUN
esrj-101556	252	11	.	.	PUNCT
esrj-101556	253	1	journal	journal	PROPN
esrj-101556	253	2	of	of	ADP
esrj-101556	253	3	graphic	graphic	ADJ
esrj-101556	253	4	tools	tool	NOUN
esrj-101556	253	5	,	,	PUNCT
esrj-101556	253	6	9(1	9(1	NUM
esrj-101556	253	7	)	)	PUNCT
esrj-101556	253	8	,	,	PUNCT
esrj-101556	253	9	25	25	NUM
esrj-101556	253	10	-	-	SYM
esrj-101556	253	11	36	36	NUM
esrj-101556	253	12	.	.	PUNCT
esrj-101556	254	1	van	van	PROPN
esrj-101556	254	2	der	der	PROPN
esrj-101556	254	3	walt	walt	PROPN
esrj-101556	254	4	,	,	PUNCT
esrj-101556	254	5	s.	s.	PROPN
esrj-101556	254	6	,	,	PUNCT
esrj-101556	254	7	schonberger	schonberger	NOUN
esrj-101556	254	8	,	,	PUNCT
esrj-101556	254	9	johannes	johannes	PROPN
esrj-101556	254	10	l	l	PROPN
esrj-101556	254	11	,	,	PUNCT
esrj-101556	254	12	nunez	nunez	PROPN
esrj-101556	254	13	-	-	PUNCT
esrj-101556	254	14	iglesias	iglesias	PROPN
esrj-101556	254	15	,	,	PUNCT
esrj-101556	254	16	j.	j.	PROPN
esrj-101556	254	17	,	,	PUNCT
esrj-101556	254	18	boulogne	boulogne	PROPN
esrj-101556	254	19	,	,	PUNCT
esrj-101556	254	20	franccois	franccois	NOUN
esrj-101556	254	21	,	,	PUNCT
esrj-101556	254	22	warner	warner	PROPN
esrj-101556	254	23	,	,	PUNCT
esrj-101556	254	24	j.	j.	PROPN
esrj-101556	254	25	d.	d.	PROPN
esrj-101556	254	26	&	&	CCONJ
esrj-101556	254	27	yager	yager	PROPN
esrj-101556	254	28	,	,	PUNCT
esrj-101556	254	29	n.	n.	PROPN
esrj-101556	254	30	,	,	PUNCT
esrj-101556	254	31	yu	yu	PROPN
esrj-101556	254	32	,	,	PUNCT
esrj-101556	254	33	t.	t.	PROPN
esrj-101556	254	34	(	(	PUNCT
esrj-101556	254	35	2014	2014	NUM
esrj-101556	254	36	)	)	PUNCT
esrj-101556	254	37	.	.	PUNCT
esrj-101556	255	1	scikit	scikit	NOUN
esrj-101556	255	2	-	-	PUNCT
esrj-101556	255	3	image	image	NOUN
esrj-101556	255	4	:	:	PUNCT
esrj-101556	255	5	image	image	NOUN
esrj-101556	255	6	processing	processing	NOUN
esrj-101556	255	7	in	in	ADP
esrj-101556	255	8	python	python	PROPN
esrj-101556	255	9	.	.	PUNCT
esrj-101556	256	1	peerj	peerj	PROPN
esrj-101556	256	2	,	,	PUNCT
esrj-101556	256	3	2(453	2(453	NUM
esrj-101556	256	4	)	)	PUNCT
esrj-101556	256	5	,	,	PUNCT
esrj-101556	256	6	2	2	NUM
esrj-101556	256	7	-	-	SYM
esrj-101556	256	8	18	18	NUM
esrj-101556	256	9	.	.	PUNCT
esrj-101556	257	1	https://doi.org/10.1016/j.jappgeo.2015.05.015	https://doi.org/10.1016/j.jappgeo.2015.05.015	PRON
esrj-101556	257	2	https://doi.org/10.1016/j.jappgeo.2015.05.015	https://doi.org/10.1016/j.jappgeo.2015.05.015	X
esrj-101556	257	3	https://doi.org/10.1190/geo2013-0189.1	https://doi.org/10.1190/geo2013-0189.1	X
esrj-101556	258	1	https://doi.org/10.1190/geo2013-0189.1	https://doi.org/10.1190/geo2013-0189.1	X
esrj-101556	258	2	https://doi.org/10.1038/s41586-020-2649-2	https://doi.org/10.1038/s41586-020-2649-2	PROPN
esrj-101556	258	3	https://heartbeat.fritz.ai/guide-to-image-inpainting-using-machine-learning-to-edit-and-correct-defects-in-photos-3c1b0e13bbd0	https://heartbeat.fritz.ai/guide-to-image-inpainting-using-machine-learning-to-edit-and-correct-defects-in-photos-3c1b0e13bbd0	NOUN
esrj-101556	258	4	(	(	PUNCT
esrj-101556	258	5	last	last	ADV
esrj-101556	258	6	accessed	access	VERB
esrj-101556	258	7	june	june	PROPN
esrj-101556	258	8	2019	2019	NUM
esrj-101556	258	9	)	)	PUNCT
esrj-101556	258	10	.	.	PUNCT
esrj-101556	259	1	https://heartbeat.fritz.ai/guide-to-image-inpainting-using-machine-learning-to-edit-and-correct-defects-in-photos-3c1b0e13bbd0	https://heartbeat.fritz.ai/guide-to-image-inpainting-using-machine-learning-to-edit-and-correct-defects-in-photos-3c1b0e13bbd0	NOUN
esrj-101556	259	2	(	(	PUNCT
esrj-101556	259	3	last	last	ADV
esrj-101556	259	4	accessed	access	VERB
esrj-101556	259	5	june	june	PROPN
esrj-101556	259	6	2019	2019	NUM
esrj-101556	259	7	)	)	PUNCT
esrj-101556	259	8	.	.	PUNCT
esrj-101556	260	1	https://heartbeat.fritz.ai/guide-to-image-inpainting-using-machine-learning-to-edit-and-correct-defects-in-photos-3c1b0e13bbd0	https://heartbeat.fritz.ai/guide-to-image-inpainting-using-machine-learning-to-edit-and-correct-defects-in-photos-3c1b0e13bbd0	NOUN
esrj-101556	260	2	(	(	PUNCT
esrj-101556	260	3	last	last	ADV
esrj-101556	260	4	accessed	access	VERB
esrj-101556	260	5	june	june	PROPN
esrj-101556	260	6	2019	2019	NUM
esrj-101556	260	7	)	)	PUNCT
esrj-101556	260	8	.	.	PUNCT
esrj-101556	261	1	https://doi.org/10.15446/esrj.v22n2.68320	https://doi.org/10.15446/esrj.v22n2.68320	X
esrj-101556	262	1	http://dx.doi.org/10.15446/ing.investig.v36n3.56198	http://dx.doi.org/10.15446/ing.investig.v36n3.56198	PROPN
esrj-101556	262	2	http://dx.doi.org/10.15446/ing.investig.v36n3.56198	http://dx.doi.org/10.15446/ing.investig.v36n3.56198	ADJ