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An Effective CBIR using Texture

Published on March 2012 by Asmita Deshmukh, Leena Ragha, Gargi Phadke
International Conference and Workshop on Emerging Trends in Technology
Foundation of Computer Science USA
ICWET2012 - Number 1
March 2012
Authors: Asmita Deshmukh, Leena Ragha, Gargi Phadke
e5a9b6d8-005e-4d71-974d-7972e66c2dd0

Asmita Deshmukh, Leena Ragha, Gargi Phadke . An Effective CBIR using Texture. International Conference and Workshop on Emerging Trends in Technology. ICWET2012, 1 (March 2012), 4-7.

@article{
author = { Asmita Deshmukh, Leena Ragha, Gargi Phadke },
title = { An Effective CBIR using Texture },
journal = { International Conference and Workshop on Emerging Trends in Technology },
issue_date = { March 2012 },
volume = { ICWET2012 },
number = { 1 },
month = { March },
year = { 2012 },
issn = 0975-8887,
pages = { 4-7 },
numpages = 4,
url = { /proceedings/icwet2012/number1/5311-1002/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and Workshop on Emerging Trends in Technology
%A Asmita Deshmukh
%A Leena Ragha
%A Gargi Phadke
%T An Effective CBIR using Texture
%J International Conference and Workshop on Emerging Trends in Technology
%@ 0975-8887
%V ICWET2012
%N 1
%P 4-7
%D 2012
%I International Journal of Computer Applications
Abstract

Content Based Image Retrieval is one of the active research areas. With emerging technologies of multimedia ,communication and processing large volume of image database is used . Current approaches include the use of color, texture and shape information for CBIR. Texture feature is a kind of visual characteristic that does not rely on color and intensity and reflects the intrinsic phenomenon of images. It is total of all intrinsic surface properties. This enforces use of texture widely for image retrieval. Texture may consists of some basic primitives and may also describe the structural arrangement of a region and the relationship of the surrounding regions. Our approach uses the statistical feature using Gray Level Co-occurrence Matrix. For the texture based image retrieval Gray Level Co-occurrence Matrix can be used. A one to one matching scheme is used to compare the query and target image. Experimental results demonstrate that the propose method is very efficient and superior to some other existing method.

References
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Index Terms

Computer Science
Information Sciences

Keywords

GLCM Homogeneity Energy