By Topic

Medical image enhancement using intuitionistic fuzzy set

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

1 Author(s)
Chaira, T. ; Centre for Biomed. Eng., Indian Inst. of Technol. Delhi, New Delhi, India

In this paper, a novel image enhancement of medical images using intuitionistic fuzzy set theory is presented. In many image processing problems, preprocessing is required to improve the quality of images before processing. But for medical images, image enhancement is very useful as medical images are poorly illuminated and many of the important structures are hardly visible. Enhancement will improve the quality of the image and specifically the structures that are poorly visible, are also highlighted, thereby suitable for further processing. As intuitionistic fuzzy set takes into account more (two) uncertainties as compared to fuzzy set that considers only one uncertainty in the form of membership function, so enhancement using intuitionistic fuzzy set theory may be a good tool for medical image processing. Experiments on several medical images are performed and the results are compared with the existing fuzzy and intuitionistic enhancement methods. It is observed that the results using the proposed method are found to be quiet better.

Published in:

Recent Advances in Information Technology (RAIT), 2012 1st International Conference on

Date of Conference:

15-17 March 2012