Skin Detection Using Color and Distance Transform

Skin regions detection has been intensively studied and many methods were proposed which are based on skin color modeling in different color spaces. This makes it possible to transform color images into skin probability maps and extract skin regions. However, in very few cases spatial alignment of the skin pixels is taken into account. In this paper we present how the pixel-wise detectors can be improved using distance transform performed in a combined domain of the skin probability maps and luminance. The proposed method is compared theoretically and experimentally with a well-established controlled diffusion technique for determining skin regions from skin probability maps.

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