Improved skin detection method by iteratively eliminating pseudo-skin colors through combined skin filter

Oh-Yeol Kwon; Kyung-Ah Kim; Sung-Il Chien

doi:10.1117/12.2008482

6 March 2013 Improved skin detection method by iteratively eliminating pseudo-skin colors through combined skin filter

Oh-Yeol Kwon, Kyung-Ah Kim, Sung-Il Chien

Proceedings Volume 8661, Image Processing: Machine Vision Applications VI; 86610U (2013) https://doi.org/10.1117/12.2008482
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

Skin color detection methods often include wrongly pseudo-skin colors which are similar to the skin color and they cannot detect highlight and dark pixels which belong to the original skin color inside or around the detected skin regions. This paper proposes an improved iterative skin detection method for eliminating the pseudo-skin color through Wang’s [2] and Cheddad’s [4] skin filer characteristics. The highlight and dark pixels are detected by adjusting the saturation level adaptively.

Citation Download Citation

Oh-Yeol Kwon, Kyung-Ah Kim, and Sung-Il Chien "Improved skin detection method by iteratively eliminating pseudo-skin colors through combined skin filter", Proc. SPIE 8661, Image Processing: Machine Vision Applications VI, 86610U (6 March 2013); https://doi.org/10.1117/12.2008482

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