A Literature Survey on Similarity and Dissimilarity of Digital Images

Soumen Bhowmik, Anirban Jash

Abstract


Segmentation of the image is an important step in image analysis, but it is remains a complex problem. Many segmentation methods have been proposed in the literature but it is difficult to compare their efficiency. In this literature survey we attempt to find the similarity between images by natural segmentation of images into several regions. The research work is based on fuzzy C mean and Delaunay triangulation for image segmentation.

 


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