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In this paper, a modified Fuzzy C-means clustering algorithm is proposed for the segmentation of color images. The modified Fuzzy C-means clustering (FCM) algorithm includes both the local spatial information from neighboring pixels, and the spatial Euclidian distance to the cluster's center of gravity. This new method increases the accuracy of clustering, and improves the tolerance to noise. It also...
In many image processing applications, and in the human visual system, relationships among objects of interest are more complex than pairwise. Simply approximating complex relationships as pairwise ones can lead to loss of information. A natural way to describe complex relationships, without loss of information, is to use hypergraphs. In this paper, we use a Color Image Neighborhood Hypergraph representation...
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