An overview of fuzzy c-means based image clustering algorithms

Huiyu Zhou

Gerald Schaefer

pp. 295-310

in: Ajith Abraham, Francisco Herrera, Aboul-Ella Hassanien (eds), Foundations of computational intelligence volume 2, Berlin, Springer, 2009

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.