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Reseach Article

Brain Tumour Detection of MR Images using Intuitionistic Fuzzy Sets

Published on August 2013 by Sweta R. Parkhedkar, Yogita K. Dubey
International Conference on Reliability, Infocom Technology and Optimization
Foundation of Computer Science USA
ICRITO - Number 1
August 2013
Authors: Sweta R. Parkhedkar, Yogita K. Dubey
fbe5d2c2-94b4-46a0-ac3e-01d9dd6d4673

Sweta R. Parkhedkar, Yogita K. Dubey . Brain Tumour Detection of MR Images using Intuitionistic Fuzzy Sets. International Conference on Reliability, Infocom Technology and Optimization. ICRITO, 1 (August 2013), 30-35.

@article{
author = { Sweta R. Parkhedkar, Yogita K. Dubey },
title = { Brain Tumour Detection of MR Images using Intuitionistic Fuzzy Sets },
journal = { International Conference on Reliability, Infocom Technology and Optimization },
issue_date = { August 2013 },
volume = { ICRITO },
number = { 1 },
month = { August },
year = { 2013 },
issn = 0975-8887,
pages = { 30-35 },
numpages = 6,
url = { /specialissues/icrito/number1/13052-1305/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Reliability, Infocom Technology and Optimization
%A Sweta R. Parkhedkar
%A Yogita K. Dubey
%T Brain Tumour Detection of MR Images using Intuitionistic Fuzzy Sets
%J International Conference on Reliability, Infocom Technology and Optimization
%@ 0975-8887
%V ICRITO
%N 1
%P 30-35
%D 2013
%I International Journal of Computer Applications
Abstract

This paper proposes segmentation and detection of tumor of MRI brain images using a novel method provided by Attanassov intuitionistic fuzzy set theory. Segmentation of such type can be important in detecting different type of tumor, stroke, paralysis etc which are developed inside brain. This type of segmentation is very important in detecting. Segmentation becomes very difficult in medical images which are not properly illuminated. A image segmentation approach intuitionistic fuzzy set theory and a new membership function called restricted equivalence function from automorphisms, for finding the membership values of the pixels of the image is proposed here. An intuitionistic fuzzy image is constructed using Sugeno type intuitionistic fuzzy generator. A new distance measure Intuitionistic Fuzzy Divergence is used. From this Intuitionistic Fuzzy Divergence edge detection is carried out. The results showed a much better performance on poor illuminated medical images, where the brain tumor is detected properly.

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Index Terms

Computer Science
Information Sciences

Keywords

Brain Mri Skull Stripping Intuitionistic Fuzzy Set Restricted Equivalence Function Membership Function Hesitation Degree Edge Detection Thresholding Tumour