Skin-color Detection Using Fuzzy Clustering

In this paper, we present the application of the fuzzy c-means clustering algorithm to the skin-color segmentation problem. We address the problem of identifying skin-color and we adapt a spatial data mining method to this task and integrate with a segmentation method to identify significant skin-color regions in an image. The proposed algorithm is able to take into account both the distributions of data in hybrid space and the spatial interactions between neighboring pixels during clustering. Evaluation of the results indicates that the method can be used as an automatic tool for mining skin images.