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

Medical Image Thresholding Algorithm Based on Fuzzy sets Theory

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

5 Author(s)
Jianhua Wu ; Northeastern Univ. Liaoning, Shenyang ; Zhaoyu Pian ; Li Guo ; Kun Wang
more authors

Many classical measures partition image according to a single property. Moreover, many schemes suffer from the lack of evaluation of image quality at the global level. This paper proposes a novel image thresholding measure that uses both ultra-fuzzy entropy and ultra-fuzzy similarity properties for grayscale images. The optimal threshold is presented as multi-properties based on type II fuzzy (ultra-fuzzy) sets and comprehensive assessment function. In experiments conducted on various classic images, this algorithm showed notable visual improvement in comparison with common measures.

Published in:

Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on

Date of Conference:

23-25 May 2007

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.