A skin detection approach based on color distance map

Authors:
M. Abdullah-Al-Wadud;Mohammad Shoyaib;Oksam Chae
Affiliations:
School of Industrial and Management Engineering, Hankuk University of Foreign Studies, Yongin, South Korea;Department of Computer Engineering, Kyung Hee University, Yongin, South Korea;Department of Computer Engineering, Kyung Hee University, Yongin, South Korea
Venue:
EURASIP Journal on Advances in Signal Processing
Year:
2008

Citing 12
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Abstract

We propose a reliable approach to detect skin regions that can be used in various human-related image processing applications. We use a color distance map, which itself is a grayscale image making the process simple, but still containing color information. Based on this map, we generate some skin as well as nonskin seed pixels, and then grow them to capture the appropriate regions. This approach outperforms the existing approaches in terms of segmenting solid and perfect skin regions. It does not generate much noisy segments. Moreover, it does not need any prior training session and can adapt to detect skin regions from images taken at different imaging conditions.