By Topic

Content-based image retrieval method using color and shape 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

4 Author(s)
Ig-Jae Kim ; Div. of Electron. & Inf. Technol., Korea Inst. of Sci. & Technol., Seoul, South Korea ; Je-Ho Lee ; Yong-Moo Kwon ; Sang-Hui Park

We have proposed a composite feature measure, which combines the color and shape features of an image. We improved the retrieval performance by using color features generated from efficient color quantization and considered the spatial correlation with the histogram matrix matching method. We also supplemented the color information using shape information with the improved moment invariants. We have tested our technique on an image database consisting of 200 actual trademark images. We showed that our method is more robust than previous method under various situations such as rotation images, translation images, noise added images, gamma corrected images and so on. The retrieval efficiency is found to be very high and the experimental results are promising for practical applications

Published in:

Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on

Date of Conference:

9-12 Sep 1997