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

Unsupervised texture segmentation based on immune genetic algorithms and fuzzy clustering

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)
Ma Li ; Sch. of Autom., Hangzhou Dianzi Univ., Hangzhou ; Staunton, R.C.

We consider a new, adaptive approach to unsupervised textured region segmentation. There are three phases within each iteration of the process: (1) Gabor filter based feature extraction; (2) Fuzzy clustering of texture homogeneity to yield a spatial segmentation; and (3) An optimization procedure to update the filter parameters. The selection objective used for filter optimization was calculated using the maxmin principle on the output from the Fisher function. This enabled the energy distributions of the distinctly textured sub images to be well separated. Experimental results demonstrated the effectiveness of the proposed approach.

Published in:

Signal Processing, 2006 8th International Conference on  (Volume:2 )

Date of Conference:

16-20 Nov. 2006

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.