A Novel Skin Image Detection Method Based on GMM and GAs

Abstract:

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This paper proposes a new skin image detection method. First, skin pixel histogram in RGB color space is analyzed. Then Gaussian Mixture Model is used to constructed distribution of skin pixels. Second, a Gaussian parameter combination and selection procedure is implemented with Genetic Algorithms, and the optimal Gaussian Mixture Model can be obtained. Experimental results on public database show that our proposed method outperforms the traditional method with ROC test.

Info:

Periodical:

Edited by:

Zhixiang Hou

Pages:

482-486

DOI:

10.4028/www.scientific.net/AMM.128-129.482

Citation:

K. M. Mao et al., "A Novel Skin Image Detection Method Based on GMM and GAs", Applied Mechanics and Materials, Vols. 128-129, pp. 482-486, 2012

Online since:

October 2011

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Price:

$35.00

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