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

Texture image segmentation by optimal Gabor filters

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)
Saito, T. ; Inst. of Inf. Sci. & Electron., Tsukuba Univ., Ibaraki, Japan ; Kudo, H. ; Suzuki, S.

In this paper, we present a new texture image segmentation algorithm using multi-channel Gabor filters and fuzzy c-means clustering. We propose a design procedure of Gabor filter parameters for optimal discrimination of texture boundaries and a systematic iterative filter selection scheme to obtain the texture features of an input image. Based on the extracted texture features and the number of texture categories, the fuzzy c-means clustering algorithm is then used to identify the texture category. The experimental results indicate, that our proposed algorithm is much superior to the existing algorithm based on the log-octave filter bank paradigm

Published in:

Signal Processing, 1996., 3rd International Conference on  (Volume:1 )

Date of Conference:

14-18 Oct 1996

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.