A novel intuitionistic fuzzy c means color clustering on human cell images

This paper addresses a novel issue of intuitionistic fuzzy c means color clustering using intuitionistic fuzzy set theory. The intuitionistic fuzzy set theory takes into the membership degree and non membership degree. Non membership degree is calculated from Sugeno type intuitionistic fuzzy complement. The introduction of another uncertainty term i.e. the non membership degree helps to converge the cluster center to a desirable location than the cluster centers obtained by fuzzy C means algorithm. The color space used is the CIELab color model which is a human perceptual model and the experimental results on different types of pathological color cell images show the effectiveness of the proposed method in contrast to existing fuzzy C means algorithm.