Fuzzy Image Segmentation Using Validity Indexes Correlation

This paper introduces an algorithm for image segmentation using a clustering technique; the technique is based on the fuzzy c means algorithm (FCM) that is executed iteratively with different number of clusters. Furthermore, simultaneously five validity indexes are calculated and their information is correlated to determine the optimal number of clusters in order to segment an image, results and simulations are shown in the paper.