By Topic

A Novel Texture Image Retrieval System Based On Dual Tree Complex Wavelet Transform and Support Vector Machines

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
$33 $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)
Adeel Mumtaz ; Fac. of Comput. Sci. & Eng., Ghulam Ishaq Khan Inst. of Eng. Sci. & Technol., Topi ; S. A. M. Gilani ; Tahir Jameel

This paper presents a novel texture image retrieval system (SVMBIR) based on dual tree complex wavelet transform (CWT) and support vector machines (SVM). We have shown that how one can improve the performance of image retrieval systems by assuming two attributes. Firstly, images that user needs through query image are similar to a group of images with same conception. Secondly, there exists non-linear relationship between feature vectors of different images and can be exploited very efficiently with the use of support vector machines. At first level, for low level feature extraction we have used dual tree complex wavelet transform because recently it is proven to be one of the best for texture based features. At second level to extract semantic concepts, we grouped images of typical texture classes with the use of one against all support vector machines. We have also shown how one can use a correlation based distance metric for comparison of SVM distance vectors. The experimental results show that the proposed approach has superior retrieval performance over the existing linear feature combining techniques

Published in:

2006 International Conference on Emerging Technologies

Date of Conference:

13-14 Nov. 2006