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S-function based novel fuzzy clustering algorithm for image segmentation | IEEE Conference Publication | IEEE Xplore

S-function based novel fuzzy clustering algorithm for image segmentation


Abstract:

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 pi...Show More

Abstract:

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.
Date of Conference: 26-28 July 2011
Date Added to IEEE Xplore: 15 September 2011
ISBN Information:
Conference Location: Shanghai, China

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