Fuzzy clustering based on generalized entropy and its application to image segmentation

Authors:
Kai Li;Yu Wang
Affiliations:
School of Mathematics and Computer, Hebei University, Baoding, China;School of Mathematics and Computer, Hebei University, Baoding, China
Venue:
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
Year:
2011

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Abstract

Fuzzy clustering based on generalized entropy is studied. By introducing the generalized entropy into objective function of fuzzy clustering, a unified model is given for fuzzy clustering in this paper. Then fuzzy clustering algorithm based on the generalized entropy is presented. At the same time, by introducing the spatial information of image into the generalized entropy fuzzy clustering algorithm, an image segmentation algorithm is presented. Finally, experiments are conducted to show effectiveness of both clustering algorithm based on generalized entropy and image segmentation algorithm.