A Skin Detection Approach Based on Color Distance Map

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...

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Bibliographic Details
Published in:EURASIP journal on advances in signal processing 2009-02, Vol.2008 (1), p.814283-814283
Main Authors: Abdullah-Al-Wadud, M, Shoyaib, Mohammad, Chae, Oksam
Format: Article
Language:English
Online Access:Get full text
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Summary: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.
ISSN:1687-6180
1687-6180
DOI:10.1186/1687-6180-2008-814283