Repository | Book | Chapter
(2009) Foundations of computational intelligence volume 2, Dordrecht, Springer.
An overview of fuzzy c-means based image clustering algorithms
Huiyu Zhou, Gerald Schaefer
pp. 295-310
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
DOI: 10.1007/978-3-642-01533-5_12
Full citation:
Zhou, H. , Schaefer, G. (2009)., An overview of fuzzy c-means based image clustering algorithms, in A. Abraham, F. Herrera & A. Hassanien (eds.), Foundations of computational intelligence volume 2, Dordrecht, Springer, pp. 295-310.
This document is unfortunately not available for download at the moment.