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    Image Segmentation Using Credibility Critical Values

    Abstract: 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 …

    Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 46–55 Read article

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