A New Technique Based on PIFS Code for Image Retrieval System.
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Vol. 7, no. 117-12,0,20L9
doi:10. L2988/ams
ISSN 1312'885X (Print)
ISSN 1314-7552 (Online)
APPLIED MATHENIATICAL SCIENCES
Journal for Theory and Applications
Editorial Board
K
S. Berenhaut (USA)
F. Hosseinzadeh Lotfr firan)
J. E. Macias'Diaz (Mexico)
Nguyen Buong 0ietnam)
G. Caristi 0taty)
N. Cercone (Canada)
B. J. McCadin
Michael Kwok-Po Ns (China)
B. Oluyede (US$
J. f, Peters (Canada)
V. Popov (ftussia)
Qinehua Qin (Australia)
Ping'Ibng Chang (Taiwan)
W. Y. C. Chen (China)
K \ry. Chow (China)
M. Darus (Malaysia)
M. Ferrara (Italy)
Ji'Huan He (China)
t
C. Headrick
(US$
Z. Retchkiman (Mexico)
Cheon Seoung Syoo (Korea)
(US$
M. de la Sen (Spain)
G. L. Silver (US$
f. T. Suttmeier (Germany)
tzung-Pei Hong (Taiwan)
G. Jurnarie (Canada)
S. I(hardi (Flance)
L. Kohaupt (Germany)
\L lkeinovich (US$
Xue'Cheng tai (Norway)
A. Vacca 0taty)
Xin'SheYang (UIO
Managing Editor: Emil Minchev
Hikari Ltd
I
Applied Mathematical Sciences, Vol. 7,2013, no. 120,
HIKARI Ltd, www.m-hikari.com
http ://dx.doi.org110. 12988/ams.20 13.39488
S9S7
-
5967
A New Technique Based on PIFS Code for
Image Retrieval System
i
Ketut Gede Darma Putra
Information Technology Department, Udayana University, Bali - Indonesia
ikgdarmaputra @ gmail.com
i
lr
II
liII
Adi Purnawan
II
I
:
Information Technology Department, Udayana University, Bali - Indonesia
dosenadi@yahoo.com
Manuh Artana
Electrical Engineering Department, Udayana Univeriity, Bali - Indonesia
manuhSS@gmail.com
Copyright @ 2013 Darma Putra, Adi Pumawan and Manuh Artana. This is an open access
artisle distributed under the Creative Cofnmons Attribution License, which permits unrestricted
use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This paper proposes a new feature exfiaction method for image retrieval system
based on local self-similarity PIFS code. The f'eature of image is represented by
using distance and angle of a pair of range and domain block position from fractal
code. This paper also uses variant contrast and spatial dimensions fractal feature
for comparison. The testing of system's performance is using 1000 images which
have been stored in a database with 10 different categories with different number
of irnage for each category. Images are classified as Homogeneous and
Heterogeneous Image based on the cornplexity of the background image. The
results show the proposed method gives a good performance.
Keywords: Image Retrieval, Fractal Code, PIFS code
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Darma Putra, Adi Purnawan and Manah
Artana
References
l1l
Mumtaz AIi, Awais Adnan, Muhammdsaqib and Zahidulrah,
content Based
Image Retrievar (CBIR) using Maierializea
International
conference on computer scGnce
(ICCSIT'20l t) panaya, lZ
eOtt).
l2l
vi"*r,
and Inforrnation T;;;-l"gy
solomon Atnafu, R.ichard chbeit, Lioner Brunie,
Efficient content-Based
lou-ur oiuniu".rui do,nput.,
and Metadata Retrieval in Image Darabase,
Science, (2002), Vol, g, No. 6.
.31
Y.
Chiang, yau-Ren. Jenq, contery;Ba1e{ Image Retrievar
using
rnro.,nuii?n science And
Engineering 25, (ZO0g), LZSS-1266.
John
Fractal orthonormal Basis, Joumar
4l
of
P. s. Hiremath, Jagadeesh pujari, content Based Image
Retrieval based on
color, Texture and- shape leatures using Image lra io .o*pr.*.ri,
Intemationar Joumar of computer sciencJ ana S".u.ity
, (2007), voi. i,
Issue 4.
5l
Monika Jain, Dr. s.K.singh, A survey on: content Based
Image Rerrieval
systems grins clustering Techniques For targe n*-*.rr,
Intemational
Journal of Managing Informatiorr Tichnorogy, (26t
r), vol. 3, No.
4.
,l
Paul H. Irwis, Kirk Marti nez, Fazly salleh Abas,
Mohammad Faizal
Ahmad Fauzi, stephen c. y. chan, Matthew l. eoJis,-rvrik,
l. goniiu..,
Paul Grimwood, Alison Stevenson, Christian fafraniei
Ster*nron,
An Integrated content and Metadata Based Retrieval syriun
for Art, IEEE
lu*.,
Transactions
on
Image pmcessing, rzoo+1,
i46
http ://dx. doi. org/ I 0. I I 09/TIp. 200 3 .BZ I
I
13, No.
3.
N. Nikolaoua, N. papamarkos, color image
retrieval using a fractar
*nergamonsignature exraction technique, Journal
: Engineerin!
- ar*po]
Applications of Artificiar Intelrigence is,
ea}z),
http://dx.doi.org/1
0. 1 0 I 6t
I
voi.
50952-tg7 6(OD:00025-3
Darma Putra, Image processing (pengolahan citra Digital),
Andi offset.
2010.
I
Darma Putra, Palmpritrt Fe-atyre Representation Using
Fractal Characteristic,
Journal of rheoretical and Applied Information teJtrnotogy,
(2013), vol.
53. No.2.
)l
G. Qui, color ima_ge_{l_dexing using BTC, IEEE Trans.
Image processing,
(2003), Y ot. 12, 93- I 0 1 . http://dx.doi. org/ l 0. 1 I 09/Irp.200
i.gol z s s
1
l
1fffiil-ffiUiffi.fiAffi-X,t} fi
do*r'l $"I ISSS/ams
ts,silr IS,tH*ffiffiffiK{ffiryfmt}
il$SlH ? 31
* *7553 tffnltne
&ppiltmd
ilUil
ffithenmntttcffit
$ffiilmffites
Hikmrt L.td
I
ItI
I
i
i
l
Vol. 7, no. 117-12,0,20L9
doi:10. L2988/ams
ISSN 1312'885X (Print)
ISSN 1314-7552 (Online)
APPLIED MATHENIATICAL SCIENCES
Journal for Theory and Applications
Editorial Board
K
S. Berenhaut (USA)
F. Hosseinzadeh Lotfr firan)
J. E. Macias'Diaz (Mexico)
Nguyen Buong 0ietnam)
G. Caristi 0taty)
N. Cercone (Canada)
B. J. McCadin
Michael Kwok-Po Ns (China)
B. Oluyede (US$
J. f, Peters (Canada)
V. Popov (ftussia)
Qinehua Qin (Australia)
Ping'Ibng Chang (Taiwan)
W. Y. C. Chen (China)
K \ry. Chow (China)
M. Darus (Malaysia)
M. Ferrara (Italy)
Ji'Huan He (China)
t
C. Headrick
(US$
Z. Retchkiman (Mexico)
Cheon Seoung Syoo (Korea)
(US$
M. de la Sen (Spain)
G. L. Silver (US$
f. T. Suttmeier (Germany)
tzung-Pei Hong (Taiwan)
G. Jurnarie (Canada)
S. I(hardi (Flance)
L. Kohaupt (Germany)
\L lkeinovich (US$
Xue'Cheng tai (Norway)
A. Vacca 0taty)
Xin'SheYang (UIO
Managing Editor: Emil Minchev
Hikari Ltd
I
Applied Mathematical Sciences, Vol. 7,2013, no. 120,
HIKARI Ltd, www.m-hikari.com
http ://dx.doi.org110. 12988/ams.20 13.39488
S9S7
-
5967
A New Technique Based on PIFS Code for
Image Retrieval System
i
Ketut Gede Darma Putra
Information Technology Department, Udayana University, Bali - Indonesia
ikgdarmaputra @ gmail.com
i
lr
II
liII
Adi Purnawan
II
I
:
Information Technology Department, Udayana University, Bali - Indonesia
dosenadi@yahoo.com
Manuh Artana
Electrical Engineering Department, Udayana Univeriity, Bali - Indonesia
manuhSS@gmail.com
Copyright @ 2013 Darma Putra, Adi Pumawan and Manuh Artana. This is an open access
artisle distributed under the Creative Cofnmons Attribution License, which permits unrestricted
use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
This paper proposes a new feature exfiaction method for image retrieval system
based on local self-similarity PIFS code. The f'eature of image is represented by
using distance and angle of a pair of range and domain block position from fractal
code. This paper also uses variant contrast and spatial dimensions fractal feature
for comparison. The testing of system's performance is using 1000 images which
have been stored in a database with 10 different categories with different number
of irnage for each category. Images are classified as Homogeneous and
Heterogeneous Image based on the cornplexity of the background image. The
results show the proposed method gives a good performance.
Keywords: Image Retrieval, Fractal Code, PIFS code
ll
il
,t
I
j
i
I
i
h
ii
i
Darma Putra, Adi Purnawan and Manah
Artana
References
l1l
Mumtaz AIi, Awais Adnan, Muhammdsaqib and Zahidulrah,
content Based
Image Retrievar (CBIR) using Maierializea
International
conference on computer scGnce
(ICCSIT'20l t) panaya, lZ
eOtt).
l2l
vi"*r,
and Inforrnation T;;;-l"gy
solomon Atnafu, R.ichard chbeit, Lioner Brunie,
Efficient content-Based
lou-ur oiuniu".rui do,nput.,
and Metadata Retrieval in Image Darabase,
Science, (2002), Vol, g, No. 6.
.31
Y.
Chiang, yau-Ren. Jenq, contery;Ba1e{ Image Retrievar
using
rnro.,nuii?n science And
Engineering 25, (ZO0g), LZSS-1266.
John
Fractal orthonormal Basis, Joumar
4l
of
P. s. Hiremath, Jagadeesh pujari, content Based Image
Retrieval based on
color, Texture and- shape leatures using Image lra io .o*pr.*.ri,
Intemationar Joumar of computer sciencJ ana S".u.ity
, (2007), voi. i,
Issue 4.
5l
Monika Jain, Dr. s.K.singh, A survey on: content Based
Image Rerrieval
systems grins clustering Techniques For targe n*-*.rr,
Intemational
Journal of Managing Informatiorr Tichnorogy, (26t
r), vol. 3, No.
4.
,l
Paul H. Irwis, Kirk Marti nez, Fazly salleh Abas,
Mohammad Faizal
Ahmad Fauzi, stephen c. y. chan, Matthew l. eoJis,-rvrik,
l. goniiu..,
Paul Grimwood, Alison Stevenson, Christian fafraniei
Ster*nron,
An Integrated content and Metadata Based Retrieval syriun
for Art, IEEE
lu*.,
Transactions
on
Image pmcessing, rzoo+1,
i46
http ://dx. doi. org/ I 0. I I 09/TIp. 200 3 .BZ I
I
13, No.
3.
N. Nikolaoua, N. papamarkos, color image
retrieval using a fractar
*nergamonsignature exraction technique, Journal
: Engineerin!
- ar*po]
Applications of Artificiar Intelrigence is,
ea}z),
http://dx.doi.org/1
0. 1 0 I 6t
I
voi.
50952-tg7 6(OD:00025-3
Darma Putra, Image processing (pengolahan citra Digital),
Andi offset.
2010.
I
Darma Putra, Palmpritrt Fe-atyre Representation Using
Fractal Characteristic,
Journal of rheoretical and Applied Information teJtrnotogy,
(2013), vol.
53. No.2.
)l
G. Qui, color ima_ge_{l_dexing using BTC, IEEE Trans.
Image processing,
(2003), Y ot. 12, 93- I 0 1 . http://dx.doi. org/ l 0. 1 I 09/Irp.200
i.gol z s s
1
l