Skip to Main Content
This paper addresses a novel image thresholding scheme using Atanassov intuitionistic fuzzy set. The intuitionistic fuzzy set theory takes into account the membership degree and another uncertainty term , the non- membership degree. Non membership degree is calculated from Sugeno type intuitionistic fuzzy generator. The use of two uncertainties in the Atanassov's intuitionistic fuzzy set helps in thresholding the image more appropriately. The effectiveness of the algorithm is demonstrated by performing experiment on different types of poorly illuminated pathological blood vessel images and comparing with other existing fuzzy and intuitionistic fuzzy thresholding algorithms.