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Skin Detection using a Markov Random Field and a New Color Space

Chenaoua, K. and Bouridane, A. (2006) Skin Detection using a Markov Random Field and a New Color Space. Image Processing, 2006 IEEE International conference, 1.

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Abstract

In this paper, human skin detection is performed using a new color space coordinate and a Markov random field based approach. The proposed color space uses a variant of the principal component analysis technique to reduce the number of color components. The MRF model takes into account the spatial relations within the image that are included in the labeling process through statistical dependence among neighboring pixels. Since only two classes are considered the Ising model is used to perform the skin/non-skin classification process



Item Type:Article
Date:October 2006
Date Type:Publication
Subjects:Computer
Divisions:College Of Computer Sciences and Engineering > Computer Engineering Dept
Creators:Chenaoua, K. and Bouridane, A.
ID Code:14291
Deposited By:KFUPM ePrints Admin
Deposited On:24 Jun 2008 16:30
Last Modified:12 Apr 2011 13:14

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