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Proceedings Paper

Improved skin detection method by iteratively eliminating pseudo-skin colors through combined skin filter
Author(s): Oh-Yeol Kwon; Kyung-Ah Kim; Sung-Il Chien
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Paper 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.

Paper Details

Date Published: 6 March 2013
PDF: 6 pages
Proc. SPIE 8661, Image Processing: Machine Vision Applications VI, 86610U (6 March 2013); doi: 10.1117/12.2008482
Show Author Affiliations
Oh-Yeol Kwon, Kyungpook National Univ. (Korea, Republic of)
Kyung-Ah Kim, Kyungpook National Univ. (Korea, Republic of)
Sung-Il Chien, Kyungpook National Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 8661:
Image Processing: Machine Vision Applications VI
Philip R. Bingham; Edmund Y. Lam, Editor(s)

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