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Image Tiling to Improve Performance of Image Retrieval Using Color Averaging Techniques

Published on None 2010 by Sudeep D.Thepade, Akshay Maloo, Dr.H.B.Kekre
journal_cover_thumbnail

Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications
Foundation of Computer Science USA
CASCT - Number 2
None 2010
Authors: Sudeep D.Thepade, Akshay Maloo, Dr.H.B.Kekre
d7288c14-1408-4a7d-b17f-aa000f1649f4

Sudeep D.Thepade, Akshay Maloo, Dr.H.B.Kekre . Image Tiling to Improve Performance of Image Retrieval Using Color Averaging Techniques. Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications. CASCT, 2 (None 2010), 42-51.

@article{
author = { Sudeep D.Thepade, Akshay Maloo, Dr.H.B.Kekre },
title = { Image Tiling to Improve Performance of Image Retrieval Using Color Averaging Techniques },
journal = { Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications },
issue_date = { None 2010 },
volume = { CASCT },
number = { 2 },
month = { None },
year = { 2010 },
issn = 0975-8887,
pages = { 42-51 },
numpages = 10,
url = { /specialissues/casct/number2/1007-42/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications
%A Sudeep D.Thepade
%A Akshay Maloo
%A Dr.H.B.Kekre
%T Image Tiling to Improve Performance of Image Retrieval Using Color Averaging Techniques
%J Computer Aided Soft Computing Techniques for Imaging and Biomedical Applications
%@ 0975-8887
%V CASCT
%N 2
%P 42-51
%D 2010
%I International Journal of Computer Applications
Abstract

The research in content based image retrieval has always been nurtured because of the thirst for better and faster image retrieval techniques. Reducing the feature vector size for faster image retrieval and till achieving better performance is herculean task. The paper presents 24 novel image retrieval techniques using color averaging methods on row mean, column mean, forward diagonal mean, backward diagonal mean, row & column mean, forward & backward diagonal mean, four tiles, sixteen tiles and 64 tiles of image. The proposed CBIR techniques are tested on generic image database having 1000 images spread across 11 categories and COIL image database having 1080 images spread across 15 categories. For each proposed CBIR technique 75 queries (5 per category) are fired on the generic image database and 55 queries (5 per category) are fired on the COIL image database. To compare the performance of image retrieval techniques average precision and recall are computed of all queries. The results have shown the performance improvement (higher precision and recall values) with proposed methods compared to all pixel data of image at reduced computations resulting in faster retrieval

References
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Index Terms

Computer Science
Information Sciences

Keywords

CBIR Image Tiling row mean column mean diagonal mean