Intuitionistic Fuzzy C means algorithm in medical image segmentation

This paper presents a novel intuitionistic fuzzy C means clustering method using intuitionistic fuzzy set theory. This clustering method has also been used for identification of mammogram cysts. In this method, the hesitation degree has been taken into account along with the membership degree, where the cluster centers may converge to a desirable location than the cluster centers obtained by fuzzy C means algorithm. Experimental results on mammogram images show the effectiveness of the proposed method in contrast to existing fuzzy C means algorithms.