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S-function based novel fuzzy clustering algorithm for image segmentation

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4 Author(s)
Maokai Yuan ; Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China ; Liping Chen ; Jianqiang Wang ; Shuguang Zhao

The clustering methods based on Fuzzy C-Means (FCM) are frequently used in image-segmentation. But the standard FCM algorithm has some defects, especially ignoring the pixel spatial information's influence on the classification result. For the sake of a more reasonable objective function, an improved FCM algorithm is proposed in this paper, which uses spatial information and S-function to determine the weight coefficients of the objective function. Experimental results show that the proposed algorithm has better performance than the standard FCM algorithm.

Published in:

Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on  (Volume:3 )

Date of Conference:

26-28 July 2011

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