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:
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B
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I
n
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o
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ter
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tical
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y
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b
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s
a
s
er
ies
o
f
p
o
in
ts
[
1
]
-
[
3
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.
I
n
d
o
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esia
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a
w
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g
e
o
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[
4
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-
[
7
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.
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h
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k
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s
to
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ased
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to
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[
8
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,
en
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m
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r
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,
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lti
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De
s
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ip
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lo
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[
1
2
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,
T
ex
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Fu
s
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[
1
3
]
.
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all
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a
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v
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ap
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licatio
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in
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m
.
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m
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tech
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p
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k
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r
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h
t
m
et
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[
1
4
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-
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1
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.
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iq
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e
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cc
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r
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m
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d
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th
e
f
ea
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r
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e
x
tr
ac
ti
o
n
p
r
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ce
s
s
[
8
]
-
[
1
3
]
.
T
y
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f
f
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ca
n
v
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s
u
c
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an
g
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s
h
ap
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f
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An
ex
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m
p
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f
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GL
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th
at
ex
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f
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ased
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r
a
y
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s
it
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in
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m
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co
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ca
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[
1
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2
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1
2
8
x
1
2
8
pi
x
els
in
J
P
E
G
f
o
r
m
at.
T
h
u
s
,
t
h
e
to
tal
n
u
m
b
er
o
f
i
m
a
g
es
in
th
e
d
ataset
is
3
0
0
an
d
co
n
s
is
t
s
of
50
class
es.
An
e
x
a
m
p
le
of
a
b
atik
i
m
ag
e
is
s
h
o
wn
in
Fi
g
u
r
e
1.
In
g
en
er
al,
th
er
e
ar
e
t
w
o
p
atter
n
s
of
b
atik
dr
a
w
in
g
s
,
g
eo
m
etr
ic
a
n
d
n
o
n
-
g
eo
m
etr
ic
p
atter
n
s
[
1
2
]
.
Data
s
et
is
a
v
ailab
le
d
o
w
n
lo
ad
at
h
ttp
s
:/
/g
i
th
u
b
.
co
m
/a
g
u
s
ek
o
m
i
n
ar
n
o
/b
ati
k
.
Fig
u
r
e
1.
T
h
e
e
x
am
p
le
of
b
ati
k
i
m
a
g
e
s
3.
M
I
C
R
O
-
ST
R
U
C
T
U
R
E
D
E
S
C
R
I
P
T
OR
(
M
S
D
)
T
h
e
e
x
tr
ac
tio
n
p
r
o
ce
s
s
u
s
ed
w
as
Mic
r
o
-
S
tr
u
ct
u
r
e
Descr
ip
to
r
m
et
h
o
d
w
h
ich
is
a
f
ea
t
u
r
e
e
x
tr
ac
tio
n
tech
n
iq
u
e
u
s
i
n
g
t
e
x
to
n
.
In
t
h
is
e
x
tr
ac
tio
n
,
f
r
o
m
ea
c
h
b
ati
k
i
m
a
g
e,
a
h
is
to
g
r
a
m
w
as
g
e
n
er
ated
w
h
ic
h
is
a
v
ec
to
r
v
alu
e
f
o
r
co
lo
r
f
ea
tu
r
es
an
d
ed
g
e
o
r
ien
tatio
n
.
3
.
1
.
T
he
e
xt
r
a
ct
i
o
n
of
co
lo
r
fe
a
t
u
r
e
T
h
e
m
o
s
t
p
o
p
u
lar
co
lo
r
s
y
s
t
e
m
is
R
GB
,
w
h
er
e
R
GB
s
t
an
d
s
f
o
r
r
ed
,
g
r
ee
n
,
b
lu
e.
T
h
e
co
lo
r
s
f
o
r
m
ed
o
n
th
e
R
GB
s
y
s
te
m
ar
e
th
e
r
es
u
lt
of
a
m
ix
t
u
r
e
o
f
p
r
i
m
ar
y
co
lo
r
s
r
ed
,
g
r
ee
n
,
an
d
b
lu
e,
b
ased
on
ce
r
tain
co
m
p
o
s
i
tio
n
s
.
H
o
w
e
v
e
r
,
in
th
e
w
o
r
ld
of
i
m
a
g
e
p
r
o
ce
s
s
i
n
g
,
in
ad
d
itio
n
to
R
GB
th
er
e
is
HSV
w
h
ic
h
is
also
p
o
p
u
la
r
.
H
in
HSV
is
H
u
e
w
h
ic
h
e
x
p
r
ess
es
t
h
e
ac
tu
al
co
lo
r
s
,
s
u
ch
as
r
ed
,
v
io
let,
a
n
d
y
ell
o
w
,
w
h
ic
h
ar
e
u
s
ed
to
d
eter
m
in
e
r
ed
n
es
s
,
g
r
ee
n
n
e
s
s
,
etc.
F
u
r
th
er
m
o
r
e,
S
is
Satu
r
atio
n
,
ie
p
u
r
it
y
or
co
lo
r
s
tr
en
g
t
h
.
Fin
a
ll
y
,
th
e
V
f
o
r
V
alu
e
in
d
icate
s
t
h
e
b
r
i
g
h
tn
e
s
s
of
t
h
e
co
lo
r
w
ith
a
r
a
n
g
e
of
v
al
u
es
b
et
w
ee
n
0
%
to
1
0
0
%,
w
h
er
e
0%
w
i
ll
p
r
o
d
u
ce
p
u
r
el
y
d
ar
k
co
lo
r
,
w
h
ile
t
h
e
la
r
g
er
v
a
lu
e
s
w
ill
p
r
o
d
u
ce
b
r
ig
h
ter
co
lo
r
s
a
n
d
n
e
w
v
ar
iatio
n
s
of
co
lo
r
s
.
In
th
is
s
t
u
d
y
,
t
h
e
co
lo
r
s
y
s
te
m
u
s
ed
is
HS
V
,
w
h
er
e
t
h
e
co
lo
r
w
as
q
u
a
n
tized
to
7
2
co
lo
r
s
w
it
h
d
etails
o
f
H
as
m
u
c
h
as
3
b
in
,
S
as
m
u
c
h
as
3
b
in
,
an
d
V
as
m
u
ch
as
8
b
in
.
T
h
u
s
,
th
e
to
t
al
co
lo
r
o
b
tain
ed
is
3
x
3
x
8
=
72
co
l
o
r
s
.
3
.
2
.
T
he
e
xt
r
a
ct
i
o
n
of
edg
e
o
ri
e
nt
at
i
o
n
featu
r
e
T
h
e
ed
g
e
o
r
ien
tatio
n
h
as
a
s
tr
o
n
g
i
n
f
l
u
e
n
ce
on
i
m
ag
e
p
e
r
ce
p
tio
n
.
T
h
er
e
ar
e
ma
n
y
m
eth
o
d
s
f
o
r
d
etec
tin
g
ed
g
e
f
ea
t
u
r
es,
in
th
i
s
r
esear
ch
,
ed
g
e
d
etec
tio
n
w
as
d
o
n
e
w
it
h
a
s
o
b
el
o
p
er
ato
r
.
T
h
is
is
b
ec
au
s
e
it
h
as
th
e
ab
ilit
y
to
r
ed
u
ce
n
o
is
e
b
ef
o
r
e
p
er
f
o
r
m
in
g
ed
g
e
d
ete
ctio
n
ca
lcu
latio
n
s
.
T
h
is
ca
p
ab
ilit
y
pr
o
v
id
es
b
etter
r
esu
lt
s
w
h
e
n
co
m
p
ar
ed
to
g
r
ad
ien
t o
p
er
ato
r
s
or
o
th
er
ed
g
e
ap
p
r
o
ac
h
m
et
h
o
d
s
,
so
it
is
co
n
s
id
er
ed
m
o
r
e
e
f
f
icie
n
t
an
d
s
i
m
p
le
[
7
]
.
T
h
e
ca
lcu
latio
n
on
t
h
e
s
o
b
el
o
p
er
ato
r
is
d
o
n
e
by
w
ei
g
h
i
n
g
th
e
pi
x
els
clo
s
er
to
th
e
ce
n
ter
of
th
e
w
i
n
d
o
w
.
T
h
u
s
,
th
e
i
n
f
lu
e
n
ce
of
n
e
ig
h
b
o
r
in
g
pi
x
el
s
w
ill
di
f
f
er
ac
co
r
d
in
g
to
t
h
eir
lo
ca
tio
n
to
th
e
p
o
in
t
w
h
er
e
th
e
g
r
ad
ien
t
is
ca
lc
u
lated
.
Gr
ad
ien
t
is
t
h
e
r
es
u
lt
of
m
ea
s
u
r
e
m
e
n
t
of
ch
a
n
g
e
in
an
i
n
ten
s
it
y
f
u
n
ctio
n
a
n
d
an
i
m
ag
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
8
,
No
.
5
,
Octo
b
er
2
0
1
8
:
377
8
–
3
7
8
3
3780
can
be
vi
e
w
ed
as
a
co
llectio
n
o
f
s
e
v
er
al
co
n
t
in
u
o
u
s
i
n
te
n
s
it
y
f
u
n
ctio
n
s
of
th
e
i
m
a
g
e.
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h
e
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lt
o
f
t
h
e
s
o
b
el
o
p
er
ato
r
is
th
en
q
u
a
n
tized
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b
in
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s
o
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at
at
th
is
s
ta
g
e
t
h
er
e
w
ill
be
18
ed
g
e
o
r
ien
tatio
n
f
e
atu
r
es.
3
.
3
.
T
e
x
t
o
n
d
et
e
ct
i
o
n
Fig
u
r
e
2
illu
s
tr
ate
s
th
e
p
r
o
ce
s
s
in
MSD
u
s
i
n
g
t
e
x
to
n
.
T
h
er
e
ar
e
f
o
u
r
t
y
p
es
of
t
e
x
to
n
,
w
it
h
a
s
ize
of
3
x
3
g
r
id
s
,
w
h
ic
h
ar
e
u
s
ed
to
o
b
tain
m
icr
o
-
s
tr
u
ct
u
r
e
m
ap
s
.
As
an
e
x
a
m
p
le,
let
Fig
u
r
e
2
(
a)
be
th
e
pi
x
els
of
i
m
a
g
e
w
it
h
a
q
u
a
n
tized
ed
g
e
d
etec
tio
n
v
a
lu
e.
Usi
n
g
th
e
e
x
i
s
tin
g
t
e
x
to
n
s
,
a
s
ca
n
n
i
n
g
p
r
o
ce
s
s
of
t
h
e
i
m
a
g
e
is
p
er
f
o
r
m
ed
.
F
or
each
p
atter
n
s
i
m
ilar
to
t
e
x
to
n
s
,
t
h
e
pi
x
els
a
r
e
m
ar
k
ed
,
sh
o
wn
in
Fig
u
r
e
2
(
b
)
.
Fig
u
r
e
2
(
c)
is
th
e
r
es
u
lt
of
d
etec
tio
n
th
a
t
alr
ea
d
y
sh
o
w
s
t
h
e
m
icr
o
-
s
tr
u
ct
u
r
e
p
atter
n
.
Fi
g
u
r
e
2
(
d
)
is
a
m
icr
o
-
s
tr
u
ct
u
r
e
m
ap
.
Fu
r
t
h
er
m
o
r
e,
in
o
r
d
er
to
o
b
t
ain
ed
h
is
to
g
r
a
m
v
alu
e,
t
h
e
m
icr
o
-
s
tr
u
ct
u
r
e
m
ap
is
u
s
ed
as
a
m
a
s
k
to
m
ar
k
co
n
s
id
er
ed
pi
x
els.
O
n
l
y
v
alu
e
f
r
o
m
co
n
s
id
er
ed
pi
x
els
ar
e
u
s
ed
to
co
m
p
o
s
e
h
i
s
to
g
r
a
m
.
T
h
e
illu
s
tr
atio
n
of
th
e
r
esu
lt
is
p
r
esen
ted
in
Fi
g
u
r
e
3.
(
a)
(
b
)
(
c)
(
d
)
Fig
u
r
e
2.
T
h
e
illu
s
tr
atio
n
of
t
e
x
to
n
d
etec
tio
n
3
.
4
.
P
r
ec
is
io
n
a
nd
r
e
ca
ll
In
th
i
s
s
t
u
d
y
,
p
er
f
o
r
m
a
n
ce
w
as
m
ea
s
u
r
ed
u
s
in
g
t
h
e
p
r
ec
is
io
n
an
d
r
ec
all
d
e
fi
n
e
d
in
E
q
u
ati
o
n
(
1
)
an
d
E
q
u
atio
n
(
2
)
:
(
1
)
(
2
)
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8708
C
B
I
R
o
f B
a
tik
I
ma
g
es
u
s
in
g
Micr
o
S
tr
u
ctu
r
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Descri
p
to
r
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A
n
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r
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id
(
A
g
u
s
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ko
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a
r
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)
3781
Fig
u
r
e
3
.
Me
r
g
ed
h
is
to
g
r
a
m
(
c
o
lo
r
an
d
ed
g
e)
4.
FE
A
T
URE
I
D
E
N
T
I
F
I
C
A
T
I
O
N
P
R
O
CE
SS
(
F
E
A
T
UR
E
EX
T
R
A
C
T
I
O
N
)
As
alr
ea
d
y
m
e
n
tio
n
ed
,
th
e
m
eth
o
d
u
s
ed
f
o
r
f
ea
t
u
r
e
e
x
tr
ac
t
io
n
is
MSD.
T
h
e
s
er
ies
of
p
r
o
ce
s
s
es
of
C
B
I
R
b
atik
i
m
p
le
m
en
tatio
n
with
MS
D
is
p
r
ese
n
ted
in
Fi
g
u
r
e
4.
T
h
e
in
itial
s
tag
e
is
to
g
et
th
e
co
lo
r
f
ea
tu
r
e
by
co
n
v
er
tin
g
th
e
R
GB
v
alu
e
to
t
h
e
H
SV
v
al
u
e.
In
ad
d
itio
n
,
it
also
p
er
f
o
r
m
ed
ed
g
e
f
ea
tu
r
e
s
e
x
tr
ac
tio
n
u
s
i
n
g
t
h
e
So
b
el
o
p
er
at
o
r
.
T
h
e
s
ec
o
n
d
s
tag
e
is
to
q
u
an
ti
f
y
t
h
e
v
al
u
e
of
HS
V
a
n
d
ed
g
e
o
r
ien
tatio
n
,
so
th
at
o
b
tain
ed
72
co
lo
r
f
ea
tu
r
es
an
d
1
8
ed
g
e
o
r
ien
tatio
n
f
ea
tu
r
es.
H
o
w
e
v
e
r
,
th
ese
f
ea
t
u
r
es
ar
e
n
o
t
u
s
ed
d
ir
ec
tl
y
,
b
ut
lo
o
k
f
o
r
th
e
p
atter
n
of
o
cc
u
r
r
en
ce
s
u
s
i
n
g
t
e
x
to
n
s
,
a
n
d
r
esu
lti
n
g
m
icr
o
-
s
tr
u
c
tu
r
e
m
ap
.
Us
in
g
th
i
s
m
ap
,
th
en
th
e
i
m
a
g
e
pi
x
els
ar
e
m
a
s
k
ed
.
O
n
l
y
m
as
k
ed
pi
x
el
s
ar
e
co
n
s
id
er
ed
f
o
r
h
is
to
g
r
a
m
v
al
u
e,
all
o
w
i
n
g
72
f
ea
tu
r
e
s
r
elate
d
to
co
lo
r
an
d
18
f
ea
tu
r
es
r
elate
d
to
ed
g
e
o
r
ien
tatio
n
,
so
th
e
to
tal
f
ea
tu
r
e
s
o
b
tain
ed
ar
e
90
f
ea
tu
r
es.
B
a
t
i
k
I
m
a
g
e
M
er
g
ed
I
m
a
g
e
M
er
g
ed
Hi
s
t
o
g
r
a
m
T
e
x
t
o
n
D
et
ec
t
i
o
n
C
o
l
o
r
Hi
s
t
o
g
r
a
m
B
a
t
i
k
Im
a
g
e
S
o
b
e
l
Q
u
a
n
t
i
z
a
t
i
o
n
T
e
x
t
o
n
D
et
ec
t
i
o
n
E
d
g
e
Hi
s
t
o
g
r
a
m
Hu
e
Q
u
a
n
t
i
z
a
t
i
o
n
S
a
t
u
r
a
t
i
o
n
Q
u
a
n
t
i
z
a
t
i
o
n
V
a
l
u
e
Q
u
a
n
t
i
z
a
t
i
o
n
Fig
u
r
e
4.
T
h
e
Mic
r
o
-
s
tr
u
ctu
r
e
d
escr
ip
tio
n
p
r
o
ce
s
s
Fig
u
r
e
5
sh
o
ws
t
h
e
i
n
it
ial
s
tep
f
o
r
co
lo
r
f
ea
t
u
r
e
e
x
tr
ac
tio
n
p
r
o
ce
s
s
.
T
h
e
in
it
ial
i
m
ag
e
u
s
ed
is
th
e
R
GB
i
m
a
g
e
as
sh
o
wn
in
F
ig
u
r
e
5
(
a)
.
W
h
en
co
n
v
er
ted
f
r
o
m
R
GB
to
HS
V
,
t
h
e
i
m
ag
e
s
tr
u
ctu
r
e
ch
an
g
es,
t
h
e
r
es
u
lt
can
be
s
ee
n
in
Fi
g
u
r
e
5
(
b
)
.
In
th
e
e
x
a
m
p
le
i
m
a
g
e
it
ca
n
be
s
ee
n
t
h
at
t
h
e
H
u
e
v
alu
e
te
n
d
s
to
p
r
o
d
u
ce
a
r
e
d
co
lo
r
,
an
d
th
e
Sat
u
r
atio
n
v
al
u
e
d
ec
r
ea
s
es.
Af
ter
co
n
v
er
s
io
n
,
th
e
v
al
u
e
of
HS
V
is
q
u
a
n
tize
d
,
w
h
er
e
th
e
v
a
lu
e
of
H
is
d
i
v
id
ed
in
to
3
b
in
s
,
S
b
ec
o
m
e
s
3
b
in
s
,
an
d
V
b
ec
o
m
es
8
b
i
n
s
.
T
h
e
q
u
an
tiza
tio
n
r
esu
lt
s
also
ca
u
s
e
a
ch
an
g
e
in
th
e
ap
p
ea
r
an
ce
of
th
e
i
m
ag
e,
as
sh
o
wn
in
Fi
g
u
r
e
5
(
c)
.
Fr
o
m
t
h
is
q
u
an
t
ized
im
ag
e,
a
72
-
v
ec
to
r
h
is
to
g
r
a
m
i
s
o
b
tain
ed
an
d
p
r
esen
ted
as
Fi
g
u
r
e
5
(
d
)
,
w
h
ich
f
u
r
th
er
m
o
r
e
r
ep
r
esen
t
s
as
72
co
lo
r
f
ea
tu
r
es.
N
e
x
t,
Fig
u
r
e
6
is
t
h
e
f
ir
s
t
s
tep
of
t
h
e
ed
g
e
o
r
ien
tatio
n
f
ea
tu
r
e
e
x
tr
ac
tio
n
p
r
o
ce
s
s
.
First,
th
e
i
m
a
g
e
is
co
n
v
er
ted
to
g
r
a
y
s
ca
le,
sh
o
wn
in
Fi
g
u
r
e
6
a.
N
e
x
t,
th
e
ed
g
e
o
r
ien
tatio
n
v
a
lu
e
is
ca
lc
u
lat
ed
u
s
in
g
th
e
So
b
el
o
p
er
ato
r
,
th
e
r
esu
lt
is
sh
o
w
n
i
n
Fi
g
u
r
e
6
(
b
)
.
L
ast
is
t
h
e
p
r
o
ce
s
s
of
q
u
an
tiz
in
g
ed
g
e
o
r
ien
t
atio
n
v
al
u
es
i
n
to
18
b
in
.
T
h
e
q
u
an
tizatio
n
r
es
u
lts
ar
e
sh
o
wn
in
Fi
g
u
r
e
6
(
c)
.
T
h
e
e
x
tr
ac
tio
n
r
esu
lt
in
th
is
p
r
o
ce
s
s
i
s
a
h
is
to
g
r
a
m
w
it
h
th
e
n
u
m
b
er
of
v
ec
to
r
s
18,
sh
o
wn
in
Fig
u
r
e
6
(
d
)
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
8
,
No
.
5
,
Octo
b
er
2
0
1
8
:
377
8
–
3
7
8
3
3782
(
a)
(
b
)
(
c)
(
d
)
Fig
u
r
e
5
.
T
h
e
f
ea
tu
r
e
ex
tr
ac
tio
n
p
r
o
ce
s
s
(
a)
(
b
)
(
c)
(
d
)
Fig
u
r
e
6
.
T
h
e
f
ea
tu
r
e
ex
tr
ac
tio
n
p
r
o
ce
s
s
5.
RE
SU
L
T
AND
A
N
A
L
Y
S
I
S
T
esti
n
g
w
as
d
o
n
e
by
u
s
i
n
g
p
r
ec
is
io
n
a
n
d
r
ec
all.
Me
as
u
r
e
m
en
ts
w
er
e
m
ad
e
to
th
e
i
m
a
g
es
in
t
h
e
d
atab
ase
co
n
tain
i
n
g
300
b
ati
k
i
m
ag
e
s
cla
s
s
i
f
ied
in
to
50
class
es,
w
h
er
e
each
cla
s
s
co
n
s
i
s
ts
of
6
i
m
a
g
es.
T
h
er
e
w
er
e
t
h
r
ee
test
s
ce
n
ar
i
o
s
,
th
e
f
ir
s
t
w
as
to
d
i
v
id
e
th
e
i
m
a
g
e
by
50%
of
tr
ai
n
in
g
d
ata
an
d
50%
of
test
d
ata,
so
f
o
r
each
clas
s
,
3
i
m
a
g
es
w
er
e
u
s
ed
as
tr
ai
n
in
g
d
ata
a
n
d
3
i
m
a
g
es
as
test
d
ata.
T
h
e
s
ec
o
n
d
s
ce
n
ar
io
w
as
to
d
i
v
id
e
th
e
i
m
ag
e
s
by
70%
of
tr
ain
i
n
g
d
ata
an
d
30
%
of
test
d
ata,
w
h
er
e
f
r
o
m
ea
c
h
class
t
h
er
e
w
er
e
4
tr
ain
i
n
g
i
m
a
g
es
an
d
2
te
s
t
i
m
ag
e
s
.
T
h
e
latter
w
a
s
to
d
i
v
i
d
e
th
e
d
ata
in
to
80%
tr
ai
n
in
g
d
ata
an
d
20%
test
d
ata,
th
er
ef
o
r
e,
f
o
r
each
cl
ass
t
h
er
e
w
er
e
5
i
m
a
g
es
u
s
ed
as
tr
ain
i
n
g
d
ata
an
d
1
i
m
a
g
e
as
test
d
ata.
Fu
r
t
h
er
m
o
r
e,
th
e
m
ea
s
u
r
e
m
en
t
o
f
p
r
ec
is
io
n
a
n
d
r
ec
all
v
al
u
e
s
ar
e
p
er
f
o
r
m
ed
on
6
r
etr
i
ev
al
s
,
8
r
etr
i
ev
als,
an
d
12
r
etr
i
ev
als.
T
h
e
p
r
ec
is
io
n
v
al
u
e
is
sh
o
wn
by
T
ab
le
1,
w
h
ile
t
h
e
r
ec
all
v
al
u
e
is
sh
o
wn
by
T
ab
le
2.
T
h
e
f
ea
tu
r
es
u
s
ed
in
th
is
C
B
I
R
ar
e
co
lo
r
an
d
ed
g
e
o
r
ien
tatio
n
f
ea
t
u
r
es.
H
o
w
e
v
e
r
,
th
e
s
e
t
w
o
t
y
p
es
of
f
ea
t
u
r
es
ar
e
n
o
t
u
s
ed
d
ir
ec
tl
y
,
b
u
t,
lo
o
k
f
o
r
s
p
atial
co
r
r
elatio
n
b
et
w
ee
n
t
h
e
t
w
o
f
ea
tu
r
e
s
to
g
et
th
e
h
i
s
to
g
r
a
m
v
alu
e.
T
h
is
s
p
ec
ial
co
r
r
elatio
n
w
as
o
b
tain
ed
by
u
ti
lizi
n
g
t
h
e
MSD
m
et
h
o
d
w
h
ic
h
u
s
e
s
t
e
x
to
n
to
f
o
r
m
a
m
a
s
k
or
a
m
icr
o
-
s
tr
u
ct
u
r
e.
Sin
ce
th
er
e
ar
e
b
asically
t
w
o
t
y
p
es
of
f
ea
t
u
r
es
u
s
ed
,
th
e
n
,
t
h
e
f
ea
tu
r
e
d
i
m
e
n
s
io
n
u
s
ed
is
72
c
o
lo
r
f
ea
tu
r
es
an
d
18
ed
g
e
o
r
ien
tatio
n
f
ea
t
u
r
es,
s
o
,
to
tall
y
,
th
er
e
ar
e
90
f
ea
t
u
r
es
u
s
ed
.
T
h
e
C
B
I
R
s
y
s
te
m
is
b
u
i
lt
on
t
h
e
a
n
d
r
o
id
p
latf
o
r
m
w
it
h
i
n
p
u
t
q
u
er
ies
ta
k
en
w
it
h
t
h
e
ca
m
er
a
of
th
e
m
o
b
ile
d
e
v
ice
o
r
r
etr
i
e
v
ed
f
r
o
m
t
h
e
d
atab
ase.
I
n
ter
m
s
o
f
ex
ec
u
tio
n
ti
m
e,
to
p
er
f
o
r
m
f
ea
tu
r
e
e
x
tr
ac
tio
n
p
r
o
ce
s
s
a
g
ain
s
t
q
u
er
y
u
s
i
n
g
MSD
an
d
to
s
ea
r
ch
f
o
r
s
u
ita
b
le
b
atik
i
m
ag
e
in
t
h
e
d
ata
b
ase,
it
ta
k
es
ab
o
u
t
1
m
in
u
te.
I
n
ad
d
itio
n
,
t
h
e
b
est
p
er
f
o
r
m
a
n
ce
sh
o
wn
by
t
h
e
t
est
w
ith
t
h
e
r
atio
of
tr
ain
i
n
g
d
ata
co
m
p
ar
ed
to
th
e
tes
t
d
ata
is
8
0
%:
2
0
%,
w
h
er
e
th
e
p
r
ec
is
io
n
v
al
u
e
is
6
5
.
6
7
%
an
d
th
e
r
ec
all
v
alu
e
is
7
8
.
8
0
%.
T
ab
le
1.
Pre
cicio
n
R
a
t
e
5
0
%:
5
0
%
7
0
%:
3
0
%
8
0
%:
2
0
%
6
r
e
t
r
i
ev
al
3
9
.
3
3
%
5
2
.
5
0
%
6
5
.
6
7
%
8
r
e
t
r
i
ev
al
3
0
.
0
0
%
4
0
.
3
8
%
5
0
.
7
5
%
12
r
e
t
r
i
ev
al
2
0
.
0
6
%
2
7
.
0
8
%
3
4
.
0
0
%
T
ab
le
2.
R
ec
all
R
a
t
e
5
0
%:
5
0
%
7
0
%:
3
0
%
8
0
%:
2
0
%
6
r
e
t
r
i
ev
al
7
8
.
6
7
%
7
8
.
7
5
%
7
8
.
8
0
%
8
r
e
t
r
i
ev
al
8
0
.
0
0
%
8
0
.
7
5
%
8
1
.
2
0
%
12
r
e
t
r
i
ev
al
8
0
.
2
2
%
8
1
.
2
5
%
8
1
.
6
0
%
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2088
-
8708
C
B
I
R
o
f B
a
tik
I
ma
g
es
u
s
in
g
Micr
o
S
tr
u
ctu
r
e
Descri
p
to
r
o
n
A
n
d
r
o
id
(
A
g
u
s
E
ko
Min
a
r
n
o
)
3783
6.
C
O
N
C
LU
S
I
O
N
B
ased
on
th
e
test
s
p
er
f
o
r
m
e
d
,
it
can
be
co
n
clu
d
ed
th
at
th
e
C
B
I
R
s
y
s
te
m
u
s
in
g
MS
D
(
Mic
r
o
Stru
ct
u
r
e
Descr
ip
to
r
)
w
h
ich
b
ased
on
a
n
d
r
o
id
p
latf
o
r
m
can
r
u
n
w
e
ll
or
e
f
f
ec
t
i
v
el
y
.
Fro
m
t
h
e
r
es
u
lts
of
th
e
r
esear
ch
,
th
e
b
est
s
y
s
te
m
p
er
f
o
r
m
a
n
ce
i
s
o
b
tain
ed
by
d
i
v
id
i
n
g
t
h
e
d
ata
by
80%
or
250
of
tr
ain
i
n
g
d
ata
a
n
d
20%
or
50
test
d
ata,
w
it
h
6
r
etr
i
ev
als,
y
ie
ld
in
g
t
h
e
p
r
ec
is
io
n
r
ate
of
6
5
.
6
7
%
an
d
th
e
r
ec
all
r
ate
of
7
8
.
8
0
%.
RE
F
E
R
E
NC
E
S
[1]
H
a
a
k
e
,
A
.
,
“
T
h
e
R
o
l
e
o
f
S
y
m
m
e
t
r
y
i
n
J
a
v
a
n
e
s
e
B
a
t
i
k
P
a
t
t
e
r
n
s
”
,
C
o
m
p
u
t
e
r
s
&
M
a
t
h
e
m
a
t
i
c
s
w
i
t
h
A
p
p
l
i
c
a
t
i
o
n
s
,
v
o
l
.
1
7
,
n
o
.
4
-
6
,
p
p
.
8
1
5
-
8
2
6
,
1
9
8
9
.
[2]
S
a
d
d
h
o
n
o
,
K
.
,
e
t
a
l
.,
“
T
h
e
s
t
u
d
y
o
f
P
h
i
l
o
so
p
h
i
c
a
l
M
e
a
n
i
n
g
o
f
B
a
t
i
k
a
n
d
K
i
m
o
n
o
M
o
t
i
f
s
t
o
F
o
s
t
e
r
C
o
l
l
a
b
o
r
a
t
i
v
e
C
r
e
a
t
i
v
e
I
n
d
u
s
t
r
y
”,
A
s
i
a
n
S
o
c
i
a
l
S
c
i
e
n
c
e
,
v
o
l
.
1
0
,
n
o
.
9
,
p
.
5
2
,
2
0
1
4
.
[3]
W
.
M
a
s
h
a
d
i
,
e
t
a
l
.
,
B
a
t
i
k
In
d
o
n
e
s
i
a
M
a
h
a
k
a
r
y
a
P
e
n
u
h
P
e
s
o
n
a
,
J
a
k
a
r
t
a
:
K
a
k
i
-
L
a
n
g
i
t
K
e
n
c
a
n
a
,
2
0
1
5
.
[4]
B
a
n
e
r
j
e
e
,
D
.
,
Jo
u
r
n
e
y
o
f
T
e
x
t
i
l
e
D
e
s
i
g
n
s
:
A
C
a
s
e
S
t
u
d
y
o
f
B
a
t
i
k
i
n
J
a
v
a
a
n
d
S
a
n
t
i
n
i
k
e
t
a
n
(
M
a
s
t
e
r'
s
t
h
e
s
i
s)
,
2
0
1
6
.
[5]
S
.
S
.
S
a
m
s
i
,
T
e
c
h
n
i
q
u
e
s
,
M
o
t
i
f
s
,
P
a
t
t
e
r
n
s
B
a
t
i
k
Y
o
g
y
a
a
n
d
S
o
l
o
,
T
i
t
i
a
n
F
o
u
n
d
a
t
i
o
n
,
2
0
1
1
[6]
H
.
S
.
D
o
e
l
l
a
h
,
B
a
t
i
k
:
T
h
e
I
m
p
a
c
t
o
f
T
i
m
e
a
n
d
E
n
v
i
r
o
n
m
e
n
t
,
D
a
n
a
r
H
a
d
i
S
o
l
o
,
2
0
0
3
.
[7]
J
.
A
c
h
j
a
d
i
,
T
h
e
G
l
o
ry
o
f
B
a
t
i
k
:
T
h
e
D
a
n
a
r
H
a
d
i
C
o
l
l
e
c
t
i
o
n
,
1
s
t
e
d
,
C
e
n
t
r
a
l
J
a
v
a
,
P
T
.
B
a
t
i
k
D
a
n
a
r
H
a
d
i
,
2
0
1
1
.
[8]
M
i
n
a
r
n
o
,
A
.
E
.
,
a
n
d
S
u
c
i
a
t
i
,
N
.
,
“
B
a
t
i
k
I
m
a
g
e
R
e
t
r
i
e
v
a
l
b
a
s
e
d
o
n
C
o
l
o
r
d
i
f
f
e
r
e
n
c
e
H
i
s
t
o
g
r
a
m
a
n
d
Gr
a
y
L
e
v
e
l
Co
-
O
c
c
u
r
r
e
n
c
e
M
a
t
r
i
x
”
,
T
E
L
K
O
M
N
I
K
A
(
T
e
l
e
c
o
m
m
u
n
i
c
a
t
i
o
n
C
o
m
p
u
t
i
n
g
E
l
e
c
t
r
o
n
i
c
s
a
n
d
C
o
n
t
ro
l
)
,
v
o
l
.
1
2
,
n
o
.
3
,
p
p
.
5
9
7
-
6
0
4
,
2
0
1
4
.
[9]
M
i
n
a
r
n
o
,
A
.
E
.
,
e
t
a
l
.
,
“
B
a
t
i
k
I
m
a
g
e
R
e
t
r
i
e
v
a
l
b
a
s
e
d
o
n
E
n
h
a
n
c
e
d
M
i
c
r
o
-
S
t
r
u
c
t
u
r
e
D
e
s
c
r
i
p
t
o
r,
”
i
n
C
o
m
p
u
t
e
r
A
i
d
e
d
S
y
s
t
e
m
E
n
g
i
n
e
e
r
i
n
g
(
A
P
C
A
S
E
)
,
2
0
1
4
A
s
i
a
-
P
a
c
i
f
i
c
C
o
n
f
e
r
e
n
c
e
o
n
.
I
E
E
E
, 2
0
1
4
,
p
p
.
6
5
-
7
0
.
[10
]
M
i
n
a
r
n
o
,
A.
E
.
,
a
n
d
Su
c
i
a
t
i
,
N
.
,
“
I
m
a
g
e
R
e
t
r
i
e
v
a
l
U
s
i
n
g
M
u
l
t
i
T
e
x
t
o
n
C
o
-
O
c
c
u
rr
e
n
c
e
D
e
s
c
r
i
p
t
o
r
”
,
J
o
u
r
n
a
l
o
f
T
h
e
o
r
e
t
i
c
a
l
&
A
p
p
l
i
e
d
I
n
f
o
r
m
a
t
i
o
n
T
e
c
h
n
o
l
o
g
y
,
v
o
l
.
6
7
,
n
o
.
1
,
2
0
1
4
.
[11
]
M
i
n
a
r
n
o
,
A
.
E
.
,
e
t
a
l
.
,
“
I
m
a
g
e
R
e
t
r
i
e
v
a
l
B
a
s
e
d
o
n
M
u
l
t
i
S
t
r
u
c
t
u
r
e
C
o
-
o
c
c
u
r
r
e
n
c
e
D
e
s
c
r
i
p
t
o
r
”
,
T
E
L
K
O
M
N
I
K
A
(
T
e
l
e
c
o
m
m
u
n
i
c
a
t
i
o
n
C
o
m
p
u
t
i
n
g
E
l
e
c
t
r
o
n
i
c
s
a
n
d
C
o
n
t
r
o
l
)
,
v
o
l
.
1
4
,
n
o
.
3
,
p
p
.
1
1
7
5
-
1
1
8
2
,
2
0
1
6
.
[12
]
K
u
rn
i
a
w
a
r
d
h
a
n
i
,
A
.
,
e
t
a
l
.,
“
E
ff
i
c
i
e
n
t
t
e
x
t
u
r
e
i
m
a
g
e
r
e
t
r
i
e
v
a
l
o
f
i
m
p
r
o
v
e
d
c
o
m
p
l
e
t
e
d
r
o
b
u
s
t
l
o
c
a
l
b
i
n
a
r
y
p
a
t
t
e
r
n
”
,
I
n
A
d
v
a
n
c
e
d
C
o
m
p
u
t
e
r
S
c
i
e
n
c
e
a
n
d
I
n
f
o
r
m
a
t
i
o
n
S
y
s
t
e
m
s
(I
C
A
C
S
I
S
)
,
2
0
1
6
In
t
e
r
n
a
t
i
o
n
a
l
Co
n
f
e
r
e
n
c
e
o
n
,
p
p
.
4
9
2
-
4
9
7
,
I
E
E
E
,
O
c
t
2
0
1
6
.
[13
]
N
u
rh
a
i
d
a
,
I
.
,
e
t
a
l
.
,
“
T
e
x
t
u
r
e
F
u
s
i
o
n
fo
r
B
a
t
i
k
M
o
t
i
f
R
e
t
r
i
e
v
a
l
S
y
s
t
e
m
”
,
In
t
e
r
n
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
E
l
e
c
t
r
i
c
a
l
a
n
d
C
o
m
p
u
t
e
r
E
n
g
i
n
e
e
r
i
n
g
(I
J
E
C
E
)
,
v
o
l
.
6
,
n
o
.
6
,
p
.
3
1
7
4
,
2
0
1
6
.
[14
]
G
u
d
i
v
a
d
a
,
V
.
N
.
,
a
n
d
R
a
g
h
a
v
a
n
,
V
.
V
.
,
“
C
o
n
t
e
n
t
b
a
s
e
d
I
m
a
g
e
R
e
t
r
i
e
v
a
l
S
y
s
t
e
m
s
”
,
C
o
m
p
u
t
e
r
,
v
o
l
.
2
8
,
n
o
.
9
,
p
p
.
1
8
-
2
2
,
1
9
9
5
.
[15
]
R
u
i
,
Y
.
,
e
t
a
l
.
,
“
R
e
l
e
v
a
n
c
e
F
e
e
d
b
a
c
k
:
A
P
o
w
e
r
T
o
o
l
f
o
r
I
n
t
e
r
a
c
t
i
v
e
C
o
n
t
e
n
t
-
b
a
s
e
d
I
m
a
g
e
R
e
t
r
i
e
v
a
l
”
,
I
E
E
E
T
r
a
n
s
a
c
t
i
o
n
s
o
n
C
i
r
c
u
i
t
s
a
n
d
S
y
s
t
e
m
s
f
or
V
i
d
e
o
T
e
c
h
n
o
l
o
g
y
,
v
o
l
.
8
,
n
o
.
5
,
p
p
.
6
4
4
-
6
5
5
,
1
9
9
8
.
[16
]
S
m
e
u
l
d
e
r
s
,
A
.
W
.
,
e
t
a
l
.,
“
C
o
n
t
e
n
t
-
b
a
s
e
d
I
m
a
g
e
R
e
t
r
i
e
v
a
l
a
t
t
h
e
e
n
d
o
f
t
h
e
e
a
r
l
y
y
e
a
r
s
”
,
I
E
E
E
T
ra
n
s
a
c
t
i
o
n
s
o
n
P
a
t
t
e
r
n
A
n
a
l
y
s
i
s
a
n
d
M
a
c
h
i
n
e
I
nt
e
l
l
i
g
e
n
c
e
,
v
o
l
.
2
2
,
n
o
.
1
2
,
p
p
.
1
3
4
9
-
1
3
8
0
,
2
0
0
0
.
[17
]
S
h
e
t
e
,
D
.
S
.
,
e
t
a
l
.
,
“
C
o
n
t
e
n
t
b
a
s
e
d
I
m
a
g
e
R
e
t
r
i
e
v
a
l
”
,
I
n
t
e
r
n
a
t
i
o
n
a
l
J
o
u
r
n
a
l
o
f
E
m
e
r
g
i
n
g
T
e
c
h
n
o
l
o
g
y
a
n
d
Ad
v
a
n
c
e
d
E
n
g
i
n
e
e
r
i
n
g
,
v
o
l
.
2
,
n
o
.
9
,
p
p
.
8
5
-
9
0
,
2
0
1
2
.
[18
]
S
.
N
u
g
r
o
h
o
a
n
d
D
.
U
t
o
m
o
,
“
R
o
t
a
t
i
o
n
I
nva
r
i
a
n
t
I
n
d
e
x
i
n
g
f
o
r
I
m
a
g
e
u
s
i
n
g
Z
e
r
n
i
k
e
M
o
m
e
n
t
s
a
n
d
R
t
r
e
e
,
”
T
E
L
K
O
M
N
I
K
A
(
T
e
l
e
c
o
m
m
u
n
i
c
a
t
i
o
n
C
o
m
p
u
t
i
n
g
E
l
e
c
t
r
o
n
i
c
s
a
n
d
C
o
n
t
r
o
l
)
,
v
o
l
.
9
,
n
o
.
2
,
p
p
.
3
3
5
-
3
4
0
,
2
0
1
3
.
[19
]
G.
-
H
.
L
i
u
a
n
d
J
.
-
Y
.
Y
a
n
g
,
“
C
o
n
t
e
n
t
-
b
a
s
e
d
I
m
a
g
e
R
e
t
r
i
e
v
a
l
u
s
i
n
g
C
o
l
o
r
d
i
f
f
e
r
e
n
c
e
H
i
s
t
o
g
r
a
m
,
”
P
a
t
t
e
r
n
R
e
c
o
g
n
i
t
i
o
n
,
v
o
l
.
4
6
,
n
o
.
1
,
p
p
.
1
8
8
-
1
9
8
,
2
0
1
3
.
[20
]
L
i
u
,
G
u
a
n
g
-
H
a
i
,
a
n
d
J
i
n
g
-
Y
u
Y
a
n
g
,
“
I
m
a
g
e
R
e
t
r
i
e
v
a
l
b
a
s
e
d
o
n
t
h
e
T
e
x
t
o
n
C
o
-
o
c
c
u
r
r
e
n
c
e
M
a
t
r
i
x
”
,
P
a
t
t
e
r
n
R
e
c
o
g
n
i
t
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