Thresholding of pathological images using Atanassov's intuitionistic fuzzy set. (10th April 2015)

• Record Type: Journal Article
• Authors: Chaira, Tamalika
• Is Part Of: International journal of medical engineering and informatics. Volume 7:Number 2(2015)
• Page Start: 101
• Page End: 109
• Publication Date: 2015-04-10
• Subjects: Cauchy distribution -- Gamma distribution -- restricted equivalence function -- intuitionistic fuzzy sets -- IFS -- hesitation degree -- image thresholding -- pathological images -- blood vessel images -- blood vessels -- medical imaging; 610.2805
• Languages: English
• ISSNs: 1755-0653

Abstract

This paper addresses pathological image thresholding schemes using Atanassov's intuitionistic fuzzy set. Three different types of membership functions - Cauchy membership function, Gamma membership function, membership function using restricted equivalence function are used to find out the membership degrees of the pixels of an image. Intuitionistic fuzzy set theory takes into account two uncertainties - the membership degree and non–membership degree. Non–membership degree is not the complement of the membership degree as in fuzzy set theory rather less than or equal to it. Non–membership degree is calculated using Sugeno type intuitionistic fuzzy generator. The use of two uncertainties in the Atanassov's intuitionistic fuzzy set helps in thresholding the images more appropriately. The effectiveness of the algorithm is demonstrated by performing experiment on different types of poorly illuminated pathological blood vessel images using the three types of membership function.