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Image Segmentation Using Credibility Critical Values

S. Sampath, R. Senthil Kumar


In this paper, a method of creating fuzzy data matrix (a matrix whose elements are fuzzy variables) representing an image is proposed. Further, a study on image segmentation carried out on the basis of such a matrix is carried out. This work considers three methods of crisp conversion available in credibility theory. Their performances have been evaluated under k-means clustering and rough k-means clustering with the help of a mammogram using appropriate validity measures.


Cite this Article
S. Sampath, R. Senthil Kumar. Image Segmentation Using Credibility Critical Values. Journal of Image Processing & Pattern Recognition Progress. 2015; 2(2): 46–55p.


Clustering, credibility distribution, critical values, k-means, rough k-means, RDB index, image segmentation

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