Segmentation of skin color regions based on fuzzy cluster
Kong Xiao, Du Danghui, Shen Lan-sun · 2005
Skin color is an important feature for face detection in color images. By building and applying a statistical skin color model, possible face regions in color images can be obtained. However, due to the inclusion of different races of people's skin color points, this general statistical model is not accurate enough to segment each specific image as we expected. Besides, most 2D skin color models, e.g. CbCr, which is a 2D projection of 3D color distribution, cannot adapt itself to lighting variations. So, we present a 3D CrCbCg model to describe the skin color distribution more precisely. Meanwhile, considering skin points in a specific image have a relatively stable distribution, we present a fuzzy cluster based skin model to remove background points which are wrongly retained by the general model. Experimental results show that our algorithm can effectively improve segmentation results.