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ISRN Computer Graphics
Volume 2012 (2012), Article ID 248285, 11 pages
http://dx.doi.org/10.5402/2012/248285
Research Article

Image Retrieval Based on Content Using Color Feature

Computer Engineering Department, Islamic University of Gaza, 108 Gaza, Palestine

Received 9 December 2011; Accepted 2 January 2012

Academic Editors: T. Calvert and S. Yokoi

Copyright © 2012 Ahmed J. Afifi and Wesam M. Ashour. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Content-based image retrieval from large resources has become an area of wide interest in many applications. In this paper we present a CBIR system that uses Ranklet Transform and the color feature as a visual feature to represent the images. Ranklet Transform is proposed as a preprocessing step to make the image invariant to rotation and any image enhancement operations. To speed up the retrieval time, images are clustered according to their features using k-means clustering algorithm.