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

A new hybrid algorithm for image segmentation based on rough sets and enhanced fuzzy c-means 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

3 Author(s)
Wei Zhang ; Sch. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China ; Cheng Li ; Yu-zhu Zhang

Image segmentation is an indispensable process in the visualization of human tissues, particularly during clinical analysis of magnetic resonance (MR) images. Both fuzzy set and rough set provide a mathematical framework to capture uncertainties associated with human cognition process. The enhanced fuzzy C-means algorithm (EnFCM) can speed up the segmentation process for gray-level image, especially for MR image segmentation. In this paper, an improved hybrid algorithm called rough-enhanced fuzzy C-means (REnFCM) algorithm is presented for segmentation of brain MR images. The experimental results indicate that the proposed algorithm is more robust to the noises and faster than many other segmentation algorithms.

Published in:

Automation and Logistics, 2009. ICAL '09. IEEE International Conference on

Date of Conference:

5-7 Aug. 2009

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.