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A Skin Detection Approach Based on Color Distance Map

  • M. Abdullah-Al-Wadud
  • Mohammad Shoyaib
  • Oksam Chae
Open Access
Research Article

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.

Keywords

Quantum Information Imaging Condition Processing Application Process Simple Color Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© 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.

Authors and Affiliations

  • M. Abdullah-Al-Wadud
    • 1
  • Mohammad Shoyaib
    • 2
  • Oksam Chae
    • 2
  1. 1.School of Industrial and Management EngineeringHankuk University of Foreign StudiesCheoinSouth Korea
  2. 2.Department of Computer EngineeringKyung Hee UniversityKiheungSouth Korea

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