Open Access

A Skin Detection Approach Based on Color Distance Map

EURASIP Journal on Advances in Signal Processing20092008:814283

Received: 10 March 2008

Accepted: 16 December 2008

Published: 8 February 2009


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.

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Authors’ Affiliations

School of Industrial and Management Engineering, Hankuk University of Foreign Studies, Cheoin, South Korea
Department of Computer Engineering, Kyung Hee University, Kiheung, South Korea


© M. Abdullah-Al-Wadud et al. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.