An Overview of Fuzzy C-Means Based Image Clustering Algorithms

Huiyu Zhou, Gerald Schaefer

Abstract: Clustering is an important step in many imaging applications with a variety of image clustering techniques having been introduced in the literature. In this chapter we provide an overview of several fuzzy c-means based image clustering concepts and their applications. In particular, we summarise the conventional fuzzy c-means (FCM) approaches as well as a number of its derivatives that aim at either speeding up the clustering process or at providing improved or more robust clustering performance.