STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Image Processing & Pattern Recognition Progress

Image Segmentation Using Credibility Critical Values

  1. S. Sampath
  2. R. Senthil Kumar

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

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