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

Image Retrieval Based on RST Invariant Features Extracted from Scale Invariant Keypoints

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)
Zhe-Ming Lu ; Sch. of Aeronaut. & Astronaut., Zhejiang Univ., Hangzhou, China ; Wei-Min Zheng ; Jing Wang

In content-based image retrieval systems, the invariance to geometrical transformations is one of the most desired properties. In this paper, a kind of rotation, scaling and translation (RST) invariant feature for image retrieval is investigated, and a new method is proposed to extract this type of feature. The proposed scheme first detects the scale invariant key points in images, and then utilizes the translation and rotation invariance properties of Burkhardt's features to construct a local rotation and translation (RT) descriptor. Finally, the RST invariant features are extracted from the key points based on the local descriptor. Moreover, we take the structural information into account and combine it with the histogram descriptor. By combining these techniques, we can effectively retrieve both the RST transformed images and the similar images of the query image. Experimental results demonstrate the effectiveness of the proposed scheme by comparing it with other methods.

Published in:

Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2010 Sixth International Conference on

Date of Conference:

15-17 Oct. 2010

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.