Paper Title:
A Novel Skin Image Detection Method Based on GMM and GAs
  Abstract

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
Chapter
Chapter 3: Sensor, Test and Signal Processing
Edited by
Zhixiang Hou
Pages
482-486
DOI
10.4028/www.scientific.net/AMM.128-129.482
Citation
K. M. Mao, Z. L. Zhu, H. Y. Jiang, Z. F. Deng, "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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