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Segmentation is one of the challenging problems in image processing. This paper presents a comparative evaluation of skin pixel classification using different models. The models used are k-means cluster and RGB vector. The performances of various models are compared with the explicitly defined rule model to analysis which is the best one.
Image processing, Skin segmentation, color spaces, CIElab, K-means cluster, RGB vector space