I
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s
ia
n J
o
urna
l o
f
E
lect
rica
l En
g
ineering
a
nd
Co
m
p
u
t
er
Science
Vo
l.
9
,
No
.
1
,
J
an
u
ar
y
201
8
,
p
p
.
60
~
63
I
SS
N:
2502
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4752
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DOI
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0
.
1
1
5
9
1
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cs
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.
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.
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-
63
60
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p
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/
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s
An I
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F
usio
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M
ethod Ba
sed
O
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ra
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t
Tra
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for
m
P
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K
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Dha
nji
1
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Dr.
Sa
ntho
s
h K
u
m
a
r
Si
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h
2
1
Re
se
a
rc
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sc
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o
lar,
In
f
o
rm
a
ti
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Tec
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y
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A
M
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Un
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sit
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Ch
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De
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rtme
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ter sc
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a
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Art
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A
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ticle
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to
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Au
g
1
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2
0
1
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R
ev
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19
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2
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1
7
A
cc
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ted
Dec
1
1
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2
0
1
7
Im
a
g
e
f
u
sio
n
is
th
e
p
ro
c
e
ss
o
f
c
o
m
b
in
in
g
re
lev
a
n
t
in
f
o
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m
a
ti
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n
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o
m
t
w
o
o
r
m
o
re
i
m
a
g
e
s
in
to
a
sin
g
le
ima
g
e
.
T
h
e
re
su
lt
in
g
ima
g
e
c
o
n
t
a
in
s
m
o
re
in
f
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rm
a
ti
o
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a
s
c
o
m
p
a
re
d
to
in
d
iv
id
u
a
l
im
a
g
e
s.
In
th
is
sy
ste
m
,
w
e
a
re
p
ro
p
o
sin
g
a
n
e
w
i
m
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g
e
f
u
sio
n
m
e
th
o
d
b
y
u
sin
g
a
tec
h
n
iq
u
e
c
a
ll
e
d
f
ra
m
e
l
e
t
tran
sf
o
r
m
.
T
h
is
m
e
th
o
d
c
o
n
sists
o
f
t
w
o
p
h
a
se
s;
F
irst
is
th
e
f
ra
m
e
se
p
a
ra
ti
o
n
w
h
e
re
th
e
p
re
-
p
ro
c
e
ss
in
g
a
n
d
S
e
l
e
c
ti
o
n
o
f
f
ra
m
e
s
f
o
r
b
o
th
t
h
e
im
a
g
e
s
o
c
c
u
rs
a
n
d
th
e
se
c
o
n
d
p
h
a
se
is
th
e
F
ra
m
e
f
u
sio
n
th
a
t
is
d
o
n
e
b
y
in
v
e
rs
e
f
ra
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e
let
tran
sf
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r
m
m
e
th
o
d
is
d
o
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e
f
ro
m
w
h
ich
a
f
u
se
d
o
u
tp
u
t
im
a
g
e
s
w
il
l
b
e
f
o
rm
e
d
th
a
t
w
il
l
b
e
c
o
n
tain
i
n
g
b
o
th
th
e
i
n
f
o
rm
a
ti
o
n
o
f
th
e
in
p
u
t
im
a
g
e
s
(CT
&
M
RI
im
a
g
e
s).
K
ey
w
o
r
d
s
:
CT
Fra
m
e
Gen
etic
A
l
g
o
r
ith
m
I
m
ag
e
F
u
s
io
n
MRI
I
m
a
g
es
Co
p
y
rig
h
t
©
2
0
1
8
In
stit
u
te o
f
A
d
v
a
n
c
e
d
E
n
g
i
n
e
e
rin
g
a
n
d
S
c
ien
c
e
.
Al
l
rig
h
ts re
se
rv
e
d
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
P
atel
Kalp
an
a
Dh
an
j
i
,
R
esear
ch
s
ch
o
lar
,
I
n
f
o
r
m
atio
n
T
ec
h
n
o
lo
g
y
,
A
ME
T
Un
i
v
er
s
it
y
,
C
h
en
n
ai
.
1.
I
NT
RO
D
UCT
I
O
N
I
n
th
e
f
ield
o
f
i
m
a
g
e
f
u
s
io
n
m
ec
h
a
n
i
s
m
i
n
m
ed
ical
i
m
a
g
e
p
r
o
ce
s
s
in
g
f
ield
,
m
a
n
y
a
t
y
p
e
o
f
i
m
a
g
e
f
u
s
io
n
tec
h
n
iq
u
e
s
ar
e
u
s
ed
in
t
h
e
p
ast
y
ea
r
s
.
Am
o
n
g
t
h
e
m
f
e
w
m
et
h
o
d
s
ar
e
an
al
y
ze
d
an
d
s
t
ated
h
er
e.
2.
B
ACK
G
RO
UND
An
i
m
a
g
e
f
u
s
io
n
s
tr
ate
g
y
b
ase
d
o
n
d
ec
o
m
p
o
s
itio
n
o
f
a
m
u
lti
s
ca
le
g
u
id
ed
f
ilter
i
s
d
is
c
u
s
s
ed
in
[
1
]
.
I
n
th
is
m
et
h
o
d
th
e
g
u
id
ed
f
ilter
p
r
o
d
u
ce
s
a
f
ilter
in
g
o
u
tp
u
t
f
r
o
m
t
h
e
co
n
te
n
ts
g
u
id
an
ce
i
m
ag
e
a
n
d
it
ca
n
b
e
d
er
iv
ed
f
r
o
m
a
lo
ca
l lin
ea
r
m
o
d
el.
Sh
ea
r
let
tr
a
n
s
f
o
r
m
a
n
d
s
p
ar
s
e
r
ep
r
esen
tatio
n
b
ased
i
m
ag
e
f
u
s
io
n
tech
n
iq
u
e
is
d
is
c
u
s
s
ed
i
n
[
2
]
.
T
h
e
Sh
ea
r
let
tr
an
s
f
o
r
m
d
ec
o
m
p
o
s
es
t
h
e
i
m
a
g
e
s
o
u
r
ce
in
to
a
lo
w
a
n
d
h
i
g
h
f
r
eq
u
e
n
c
y
s
u
b
b
an
d
co
ef
f
icie
n
t
s
.
T
h
e
s
p
ar
s
e
r
ep
r
esen
tatio
n
i
s
u
s
ed
f
o
r
tr
ain
in
g
t
h
e
co
e
f
f
icie
n
ts
an
d
f
o
r
f
u
s
in
g
t
h
e
i
m
a
g
es
w
it
h
h
ig
h
er
en
er
g
ies.
T
h
e
f
u
s
io
n
o
f
M
R
I
a
n
d
P
E
T
im
a
g
es
i
s
d
is
c
u
s
s
ed
i
n
[
3
]
.
T
h
e
p
u
r
p
o
s
e
o
f
t
h
e
m
eth
o
d
i
s
to
f
u
s
e
t
h
e
f
u
n
ct
io
n
al
in
f
o
r
m
atio
n
o
f
P
E
T
im
a
g
es
to
th
e
s
tr
u
ctu
r
al
i
n
f
o
r
m
atio
n
o
f
t
h
e
MRI
i
m
ag
e
s
.
T
h
e
p
r
o
ce
s
s
i
s
d
o
n
e
b
y
u
s
i
n
g
th
e
No
n
Su
b
s
a
m
p
led
C
o
n
to
u
r
let
T
r
an
s
f
o
r
m
(
NS
C
T
)
alo
n
g
w
i
th
t
h
e
f
u
s
io
n
r
u
le
s
.
T
h
e
im
a
g
e
f
u
s
io
n
m
e
th
o
d
d
is
cu
s
s
ed
in
[
4
]
is
d
o
n
e
b
y
f
u
s
i
n
g
th
e
w
a
v
elet
tr
an
s
f
o
r
m
s
alo
n
g
w
it
h
th
e
A
d
ap
tiv
e
an
d
B
u
r
t
f
u
s
io
n
al
g
o
r
ith
m
o
v
er
a
m
u
lti
-
r
eso
lu
t
io
n
i
m
a
g
e.
T
h
e
f
u
s
io
n
is
d
o
n
e
b
ased
o
n
ad
ap
tiv
e
th
r
es
h
o
ld
in
g
o
f
w
a
v
elet
tr
an
s
f
o
r
m
to
ad
ap
tiv
el
y
f
u
s
e
th
e
s
o
u
r
ce
i
m
a
g
e
w
it
h
t
h
e
m
atc
h
d
eg
r
ee
ca
s
e.
I
m
ag
e
f
u
s
io
n
alg
o
r
it
h
m
b
ased
o
n
n
o
n
s
u
b
s
a
m
p
led
s
h
ea
r
let
tr
a
n
s
f
o
r
m
a
n
d
co
m
p
r
ess
i
v
e
s
en
s
i
n
g
i
s
d
is
c
u
s
s
ed
in
[
5
]
.
T
h
e
NSST
is
u
s
ed
f
o
r
d
ec
o
m
p
o
s
itio
n
o
f
i
m
ag
e
s
i
n
to
b
an
d
p
ass
a
n
d
lo
w
p
ass
s
u
b
b
an
d
s
.
An
d
th
e
co
m
p
r
ess
iv
e
s
en
s
in
g
is
u
s
ed
f
o
r
f
u
s
i
n
g
t
h
e
lo
w
p
ass
s
u
b
b
an
d
w
it
h
th
e
i
m
p
r
o
v
ed
w
ei
g
h
ted
f
u
s
io
n
r
u
le.
A
n
o
u
tco
m
e
o
f
p
er
io
d
ized
s
m
all
s
id
e
g
a
m
es
w
it
h
a
n
d
w
ith
o
u
t
m
en
tal
i
m
a
g
er
y
o
n
p
la
y
i
n
g
ab
ili
t
y
a
m
o
n
g
in
ter
co
lleg
iate
lev
el
s
o
cc
er
p
lay
er
s
is
al
s
o
d
escr
ib
es
th
at
[
6
]
.
I
m
ag
e
S
u
p
er
R
eso
lu
tio
n
Usi
n
g
W
av
e
let
T
r
a
n
s
f
o
r
m
atio
n
B
ased
Gen
etic
A
l
g
o
r
ith
m
ex
p
lai
n
ed
in
[
7
]
.
Fra
m
elet
tr
an
s
f
o
r
m
s
ar
e
u
s
ed
in
ap
p
licatio
n
lik
e
c
lass
i
f
icatio
n
o
f
th
e
g
lau
co
m
a
in
d
ig
ital
f
u
n
d
u
s
i
m
ag
e
s
as
in
[
8
]
.
T
h
e
f
u
s
io
n
o
f
u
n
i
m
o
d
al
m
u
lti
-
f
ea
t
u
r
e
an
d
o
n
e
-
d
i
m
e
n
s
io
n
al
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2502
-
4752
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
9
,
No
.
1
,
J
an
u
ar
y
2
0
1
8
:
60
–
63
61
h
id
d
en
m
ar
k
o
v
m
o
d
els
f
o
r
lo
w
-
r
eso
l
u
tio
n
f
ac
e
r
ec
o
g
n
itio
n
as
i
n
[
9
]
.
Als
o
it
is
u
s
ed
in
m
a
n
y
ap
p
licatio
n
s
li
k
e
cr
ed
al
f
u
s
io
n
o
f
clas
s
if
icatio
n
s
f
o
r
n
o
is
y
a
n
d
u
n
ce
r
tai
n
d
ata
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d
tex
t
u
r
e
f
u
s
io
n
f
o
r
b
atik
m
o
tif
r
etr
iev
al
s
y
s
te
m
as o
n
[
1
0
]
,
[
1
1
]
.
3.
T
H
E
P
RO
B
L
E
M
T
h
er
e
ar
e
s
o
m
e
p
r
o
b
lem
s
th
at
ar
e
o
cc
u
r
r
ed
in
th
e
p
r
ev
io
u
s
m
eth
o
d
s
lik
e
n
o
is
e
o
cc
u
r
r
en
ce
a
n
d
p
ix
el
lo
s
s
es o
r
o
v
er
lap
p
i
n
g
o
f
th
e
p
i
x
els
w
h
ile
f
u
s
i
n
g
t
h
e
i
m
a
g
es.
So
in
o
r
d
er
to
o
v
er
co
m
e
th
o
s
e
p
r
o
b
lem
s
w
e
ar
e
i
m
p
le
m
en
t
in
g
a
n
e
w
i
m
a
g
e
f
u
s
io
n
s
y
s
te
m
a
s
ex
p
lai
n
ed
b
elo
w
.
4.
P
RO
P
O
SE
D
SO
L
UT
I
O
N
I
n
th
i
s
s
y
s
te
m
,
an
i
m
ag
e
f
u
s
i
o
n
m
et
h
o
d
is
p
r
o
p
o
s
ed
s
o
lu
ti
o
n
is
s
tated
b
y
u
s
in
g
a
tech
n
i
q
u
e
ca
lled
f
r
a
m
ele
t
tr
a
n
s
f
o
r
m
.
T
h
e
s
y
s
t
e
m
i
s
o
f
t
w
o
p
h
ase
s
n
a
m
e
l
y
;
f
r
a
m
e
s
ep
ar
atio
n
a
n
d
f
r
a
m
e
f
u
s
io
n
i
s
o
cc
u
r
r
ed
w
h
er
e
th
e
f
ir
s
t
p
h
a
s
e
is
o
f
p
r
e
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p
r
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ce
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a
n
d
s
elec
tio
n
o
f
f
r
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m
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s
s
o
cc
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r
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d
th
e
f
r
a
m
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e
b
y
t
h
e
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v
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f
r
a
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e
let
tr
an
s
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o
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.
T
h
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f
ir
s
t
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n
e
f
o
r
b
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t
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m
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d
th
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d
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h
ase
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o
r
t
h
e
co
ef
f
icie
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ts
o
f
th
e
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o
th
th
e
i
m
ag
e
s
.
T
h
e
co
m
p
l
ete
f
r
a
m
e
w
o
r
k
o
f
t
h
e
p
r
o
p
o
s
ed
s
y
s
te
m
is
as
s
h
o
w
n
in
f
ig
u
r
e
1.
Fig
u
r
e
1
.
B
lo
ck
d
iag
r
a
m
o
f
Fr
a
m
elet
B
ased
I
m
a
g
e
F
u
s
io
n
4
.
1
.
F
r
a
m
e
Sepa
ra
t
io
n
I
n
th
e
p
r
o
p
o
s
ed
s
y
s
te
m
t
h
e
f
i
r
s
t
p
h
ase
is
t
h
e
f
r
a
m
e
s
ep
ar
at
io
n
p
r
o
ce
s
s
.
I
n
t
h
i
s
,
f
ir
s
t
b
o
th
th
e
i
n
p
u
t
i
m
a
g
es
ar
e
p
r
e
-
p
r
o
ce
s
s
ed
b
y
d
en
o
is
i
n
g
an
d
t
h
e
co
lo
r
co
n
v
er
s
io
n
m
et
h
o
d
.
T
h
en
t
h
e
i
m
a
g
e
f
r
a
m
e
s
ar
e
s
ep
ar
ated
as
lo
w
,
h
i
g
h
an
d
b
an
d
p
ass
f
r
eq
u
e
n
c
y
co
ef
f
icie
n
ts
b
y
u
s
i
n
g
t
h
e
f
r
a
m
elet
tr
a
n
s
f
o
r
m
to
th
a
t
o
f
t
h
e
o
r
ig
in
al
i
m
a
g
es.
W
ith
t
h
e
h
e
lp
o
f
th
e
f
r
a
m
elet
tr
a
n
s
f
o
r
m
an
y
o
n
e
o
f
th
e
f
r
eq
u
e
n
c
y
c
o
-
ef
f
icie
n
t
ca
n
b
e
s
ep
ar
ated
an
d
u
s
ed
f
o
r
f
u
s
io
n
p
r
o
ce
s
s
th
at
o
cc
u
r
s
i
n
th
e
n
e
x
t
p
h
ase.
B
ac
k
g
r
o
u
n
d
I
m
ag
e
(
C
T
I
m
ag
e)
Fo
r
eg
r
o
u
n
d
I
m
a
g
e
(
MRI
I
m
ag
e)
C
T
I
m
a
g
e
P
r
e
-
P
r
o
ce
s
s
in
g
MRI
I
m
a
g
e
P
r
e
-
P
r
o
ce
s
s
in
g
Fra
m
elet
T
r
an
s
f
o
r
m
Fra
m
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T
r
an
s
f
o
r
m
I
n
v
er
s
e
Fra
m
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T
r
an
s
f
o
r
m
Selectio
n
o
f
Fra
m
e
s
W
ith
M
A
X
Val
u
es
Fu
s
ed
Fo
r
m
o
f
B
ac
k
g
r
o
u
n
d
&
Fo
r
eg
r
o
u
n
d
(
C
T
&
MRI)
I
m
a
g
es
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4752
A
n
I
ma
g
e
F
u
s
io
n
Meth
o
d
B
a
s
ed
On
F
r
a
mele
t Tr
a
n
s
fo
r
m
(
P
a
tel
K
a
lp
a
n
a
Dh
a
n
ji
)
62
4
.
2
.
F
r
a
m
e
F
us
io
n
T
h
e
s
ec
o
n
d
p
h
as
e
is
th
e
f
r
a
m
e
s
ep
ar
atio
n
w
h
er
e
t
h
e
f
r
eq
u
e
n
c
y
co
-
e
f
f
icien
t
o
f
an
y
o
f
s
u
b
b
an
d
s
ca
n
b
e
s
elec
ted
an
d
u
s
ed
f
o
r
f
u
s
i
o
n
.
I
n
th
i
s
m
et
h
o
d
w
e
ar
e
s
el
ec
tin
g
th
e
s
u
b
b
an
d
o
f
h
i
g
h
er
f
r
eq
u
en
c
ies
f
o
r
th
e
f
u
s
io
n
p
r
o
ce
s
s
.
T
h
is
f
u
s
io
n
o
f
th
e
s
u
b
b
an
d
s
ca
n
b
e
d
o
n
e
b
y
i
n
v
er
s
e
f
r
a
m
ele
t
tr
an
s
f
o
r
m
alg
o
r
it
h
m
.
T
h
i
s
alg
o
r
ith
m
w
ill
r
ev
er
s
e
th
e
p
r
o
ce
s
s
o
f
t
h
e
f
r
a
m
elet
tr
an
s
f
o
r
m
b
y
f
u
s
i
n
g
t
h
e
t
w
o
d
if
f
er
e
n
t
s
u
b
ab
n
d
o
f
a
i
m
a
g
e
in
to
a
s
in
g
le
s
u
b
b
an
d
co
e
f
f
ic
i
en
t
i
m
a
g
e.
T
h
e
o
u
tp
u
t
w
ill
b
e
o
b
tain
ed
as
t
h
e
f
u
s
ed
f
o
r
m
o
f
s
in
g
le
i
m
a
g
e
t
h
at
co
n
ta
in
s
b
o
th
th
e
i
n
f
o
r
m
atio
n
o
f
th
e
C
T
an
d
MRI
i
m
ag
e
s
.
5.
RE
SU
L
T
AND
DI
SCUS
SI
O
N
I
n
th
i
s
s
ec
tio
n
th
e
r
es
u
lt
s
an
d
in
ter
f
er
en
ce
o
f
th
e
p
r
o
p
o
s
ed
s
y
s
te
m
is
d
is
c
u
s
s
ed
.
Her
e
th
e
f
u
s
io
n
s
y
s
te
m
m
ak
e
s
u
s
e
o
f
t
w
o
in
p
u
t i
m
a
g
e
s
n
a
m
e
l
y
MRI
a
n
d
C
T
i
m
a
g
es.
Her
e
th
e
MRI
i
m
a
g
e
i
s
co
n
s
id
er
ed
as t
h
e
f
o
r
eg
r
o
u
n
d
i
m
a
g
e
an
d
t
h
e
C
T
i
m
a
g
e
is
co
n
s
id
er
ed
as
th
e
b
ac
k
g
r
o
u
n
d
i
m
ag
e.
B
o
th
i
n
p
u
t
i
m
ag
es
ar
e
p
r
o
ce
s
s
ed
s
ep
ar
atel
y
an
d
ar
e
f
u
s
ed
to
g
et
h
er
b
y
u
s
in
g
th
e
f
u
s
io
n
alg
o
r
it
h
m
.
T
h
e
o
u
tp
u
t
i
m
a
g
e
o
f
t
h
e
p
r
o
p
o
s
e
s
y
s
te
m
i
s
as
s
h
o
w
n
f
i
g
u
r
e
2.
Fig
u
r
e
2
.
R
esu
ltan
t O
u
tp
t I
m
a
g
es
T
h
e
o
u
tp
u
t
i
m
a
g
es
o
f
t
h
e
p
r
o
p
o
s
ed
im
a
g
e
s
y
s
te
m
is
s
h
o
w
n
ab
o
v
e
an
d
it
is
u
n
d
er
s
to
o
d
th
at
h
o
w
t
h
e
in
p
u
t
i
m
a
g
e
s
(
C
T
an
d
MRI)
a
r
e
f
u
s
ed
to
g
et
h
er
to
f
o
r
m
a
s
i
n
g
le
f
u
s
ed
i
m
a
g
e.
A
l
s
o
t
h
e
f
u
s
ed
w
ill
b
e
h
av
i
n
g
b
o
th
th
e
i
n
p
u
t
i
m
ag
e
i
n
f
o
r
m
atio
n
w
i
th
o
u
t
a
n
y
d
ata
lo
s
s
.
T
h
e
p
er
f
o
r
m
a
n
ce
ev
al
u
atio
n
o
f
t
h
e
o
u
tp
u
t
f
u
s
ed
i
m
a
g
e
ca
n
b
e
d
o
n
e
b
y
ca
lc
u
lati
n
g
th
e
P
ea
k
Sig
n
al
to
No
is
e
R
a
tio
(
P
SNR
)
a
n
d
St
r
u
ctu
r
al
S
i
m
ilar
it
y
I
n
d
ex
(
SS
I
M)
v
al
u
es
f
o
r
th
e
c
o
r
r
esp
o
n
d
in
g
i
m
ag
e.
6.
CO
NCLU
SI
O
N
T
h
e
p
ap
er
d
ep
icts
a
n
e
w
i
m
a
g
e
f
u
s
io
n
s
y
s
te
m
b
y
u
s
in
g
t
h
e
t
ec
h
n
iq
u
e
ca
lled
t
h
e
f
r
a
m
elet
t
r
an
s
f
o
r
m
.
Un
li
k
e
t
h
e
o
th
er
m
et
h
o
d
s
th
i
s
alg
o
r
it
h
m
ca
n
b
e
u
s
ed
f
o
r
f
u
s
io
n
p
r
o
ce
s
s
b
y
s
elec
ti
n
g
a
n
y
o
f
t
h
e
f
r
eq
u
e
n
c
y
co
ef
f
icie
n
t
s
u
b
b
an
d
s
li
k
e
lo
w,
h
ig
h
an
d
m
ed
ian
s
u
b
b
an
d
s
w
it
h
o
u
t
an
y
d
ata
lo
s
s
o
f
b
o
th
th
e
in
p
u
t
i
m
ag
e
s
.
E
x
p
er
i
m
e
n
ts
a
n
d
r
elate
d
o
b
j
e
ctiv
e
m
ea
s
u
r
e
m
en
t
s
s
h
o
w
t
h
a
t
th
e
p
r
o
p
o
s
ed
m
et
h
o
d
ca
n
o
b
tain
a
b
etter
f
u
s
io
n
p
er
f
o
r
m
a
n
ce
w
h
en
co
m
p
ar
ed
t
o
o
th
er
s
tate
-
of
-
t
h
e
-
ar
t
m
et
h
o
d
s
.
C
T
I
m
a
g
e
MRI
I
m
a
g
e
Fu
s
ed
I
m
ag
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2502
-
4752
I
n
d
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1
,
J
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u
ar
y
2
0
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8
:
60
–
63
63
RE
F
E
R
E
NC
E
S
[1
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Ya
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g
H,
W
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X
T
,
HE
B
G
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Z
HU
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M
.
Im
a
g
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f
u
sio
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b
a
se
d
o
n
m
u
lt
isc
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le
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u
id
e
d
f
il
ters
.
IE
EE
J
o
u
rn
a
l
o
f
Op
to
e
lec
tro
n
ics
.
L
a
se
r,
2
0
1
5
;
2
6
(
1
):7
0
-
1
7
6
.
[2
]
Zh
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h
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ro
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sio
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se
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rlet
t
ra
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o
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m
a
n
d
sp
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rse
re
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re
se
n
tatio
n
.
IEE
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Op
t
o
-
El
e
c
tro
n
ic E
n
g
i
n
e
e
rin
g
.
2
0
1
5
;
4
2
(1
):7
8
-
8
3
.
[3
]
Na
srin
A
,
F
a
te
m
iz
a
d
e
h
E.
M
RI
-
P
ET
i
m
a
g
e
f
u
sio
n
b
a
se
d
o
n
NSCT
tran
sf
o
r
m
u
sin
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c
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y
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n
d
lo
c
a
l
v
a
rian
c
e
F
u
sio
n
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les
.
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E
J
o
u
r
n
a
l
o
f
M
e
d
ica
l
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n
g
in
e
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rin
g
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e
c
h
n
o
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o
g
y
.
2
0
1
3
;
3
8
(4
)
:2
1
1
-
2
1
9
.
[4
]
T
u
rk
a
r
M
,
Am
b
a
tk
a
r
NS.
W
a
v
e
let
b
a
se
d
ima
g
e
e
n
h
a
n
c
e
me
n
t
u
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g
a
d
a
p
ti
v
e
fu
si
o
n
me
t
h
o
d
o
lo
g
y
.
IEE
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In
tern
a
ti
o
n
a
l
C
o
n
f
e
re
n
c
e
o
n
El
e
c
t
rica
l
P
o
w
e
r
a
n
d
En
e
rg
y
S
y
ste
m
s,
2
0
1
6
;
58
-
6
1
.
[5
]
Ya
n
g
J,
W
a
n
g
Y,
X
io
n
g
Y.
A
n
o
v
e
l
f
u
sio
n
tec
h
n
iq
u
e
f
o
r
CT
a
n
d
M
RI
m
e
d
ica
l
i
m
a
g
e
b
a
se
d
o
n
NSS
T
.
IEE
E
Co
n
tro
l
a
n
d
De
c
isio
n
C
o
n
f
e
re
n
c
e
(
CCDC
).
2
0
1
6
;
4
3
6
7
-
4
3
7
2
.
[6
]
Ku
m
a
r
A
M
.
A
n
o
u
tco
m
e
o
f
p
e
rio
d
ize
d
sm
a
ll
sid
e
g
a
m
e
s
w
it
h
a
n
d
w
it
h
o
u
t
m
e
n
tal
im
a
g
e
r
y
o
n
p
lay
in
g
a
b
il
it
y
a
m
o
n
g
in
terc
o
ll
e
g
iate
lev
e
l
s
o
c
c
e
r
p
lay
e
rs
.
In
d
ia
n
J
o
u
r
n
a
l
o
f
S
c
ien
c
e
a
n
d
T
e
c
h
n
o
lo
g
y
.
2
0
1
5
;
8
(3
6
).
[7
]
P
a
n
d
a
S
S
,
Je
n
a
G
.
Ima
g
e
S
u
p
e
r
Res
o
l
u
ti
o
n
Us
in
g
W
a
v
e
let
T
ra
n
sf
o
rm
a
ti
o
n
Ba
se
d
Ge
n
e
ti
c
Al
g
o
rith
m
.
In
Co
m
p
u
tati
o
n
a
l
I
n
telli
g
e
n
c
e
in
Da
ta M
in
in
g
.
2
0
1
6
;
2
:
3
5
5
-
3
6
1
.
[8
]
G
a
n
e
sh
b
a
b
u
T
R.
Co
m
p
u
ter
a
id
e
d
d
iag
n
o
sis o
f
g
lau
c
o
m
a
d
e
tec
ti
o
n
u
sin
g
d
ig
it
a
l
f
u
n
d
u
s im
a
g
e
.
In
ter
n
a
ti
o
n
a
l
jo
u
rn
a
l
o
f
a
d
v
a
n
c
e
s in
sig
n
a
l
a
n
d
ima
g
e
sc
ien
c
e
s.
2
0
1
5
;
1
(1
):
1
-
11.
[9
]
El
M
e
slo
u
h
i
O,
El
g
a
rra
i
Z,
Ka
rd
o
u
c
h
i
M
,
A
ll
a
li
,
H.
Un
i
m
o
d
a
l
M
u
lt
i
-
F
e
a
tu
re
F
u
si
o
n
a
n
d
o
n
e
-
d
im
e
n
sio
n
a
l
Hid
d
e
n
M
a
rk
o
v
M
o
d
e
ls
f
o
r
L
o
w
-
Re
so
lu
ti
o
n
F
a
c
e
Re
c
o
g
n
it
io
n
.
I
n
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
Co
m
p
u
ter
En
g
i
n
e
e
rin
g
(
IJ
ECE
).
2
0
1
7
;
7
(4
):
1
9
1
5
-
1
9
2
2
.
[1
0
]
Ka
re
m
F
,
Dh
ib
i
M
,
M
a
rti
n
A
,
Bo
u
h
lel
M
S
.
Cre
d
a
l
F
u
si
o
n
o
f
Clas
sif
ica
ti
o
n
s
f
o
r
No
isy
a
n
d
Un
c
e
rtain
Da
ta.
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
C
o
mp
u
ter
En
g
in
e
e
rin
g
(
IJ
ECE
).
2
0
1
7
;
7
(
2
):
1
0
7
1
-
1
0
8
7
.
[1
1
]
Nu
rh
a
id
a
I,
W
e
i
H,
Zen
RA
,
M
a
n
u
ru
n
g
R,
A
r
y
m
u
rth
y
AM.
T
e
x
tu
re
F
u
sio
n
f
o
r
Ba
ti
k
M
o
ti
f
Re
tri
e
v
a
l
S
y
st
e
m
.
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
El
e
c
trica
l
a
n
d
C
o
mp
u
ter
En
g
in
e
e
rin
g
.
2
0
1
6
;
6
(
6
):
3
1
7
4
-
3
1
8
7
.
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