Communities of Dialogue Russian and Ukrainian Émigrés in Modernist Prague

Repository | Series | Book | Chapter

225701

An overview of fuzzy c-means based image clustering algorithms

Huiyu ZhouGerald Schaefer

pp. 295-310

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.

Publication details

Published in:

Abraham Ajith, Herrera Francisco, Hassanien Aboul-Ella (2009) Foundations of computational intelligence volume 2: approximate reasoning. Dordrecht, Springer.

Pages: 295-310

DOI: 10.1007/978-3-642-01533-5_12

Full citation:

Zhou Huiyu, Schaefer Gerald (2009) „An overview of fuzzy c-means based image clustering algorithms“, In: A. Abraham, F. Herrera & A.-E. Hassanien (eds.), Foundations of computational intelligence volume 2, Dordrecht, Springer, 295–310.