By Topic

Content-Based Color Image Retrieval System Using Color Difference Features

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Chin-Chen Chang ; Dept. of Inf. Eng. & Comput. Sci., Feng Chia Univ., Taichung ; Wen-Chuan Wu ; Yu-Chen Hu

In this paper, we propose a new color image retrieval scheme based on color features. The goal of this scheme is to effectively retrieve images similar to a query image in a color image database. In this scheme, a color image is first divided into three planes. Then the local features of the given image can be found by calculating the color difference of each plane. Thereafter, the color difference co-occurrence matrix (CDCOM) of each color image can be derived through these local features. The CDCOM is regarded as the global feature of the color image. Consequently, CDCOM is used to find images similar to the query image. Experiment results show that the proposed scheme can effectively retrieve the desired and similar images.

Published in:

Future Generation Communication and Networking Symposia, 2008. FGCNS '08. Second International Conference on  (Volume:3 )

Date of Conference:

13-15 Dec. 2008