Cart (Loading....) | Create Account
Close category search window
 

Effectiveness of relevance feedback for Content Based Image Retrieval using Gustafson-Kessel algorithm

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

2 Author(s)
Selamat, A. ; Univ. Technol. Malaysia, Johor Bahru ; Ismail, M.K.

The performance of the Content Based Image Retrieval (CBIR) can compute using similarity of the images where user can retrieve from the image database. The term similarity in the mind of the user may different depends on the search query and the experience of the user which has been using the similar applications. When the users are not satisfied with their search results, the relevance feedback (RF) retrieval is one of the solutions for this critical problem. The user needs to use this feedback on the next retrieval process in order to increase the retrieval performance. In this paper, we have used a relevant feedback approach based on Gustafson-Kessel (GK) clustering approach in order to evaluate the effectiveness of the image retrieval results from the users. From the experiments, we have found that the RF method using Gustafson-Kessel (GK) clustering can improve the retrieval performance of the CBIR system even if we are using a large set of image datasets with a variety of images..

Published in:

Computer and Communication Engineering, 2008. ICCCE 2008. International Conference on

Date of Conference:

13-15 May 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.