A Novel Skin Image Detection Method Based on GMM and GAs
| Autor: | Zhi Liang Zhu, Ke Ming Mao, Hui Yan Jiang, Zhuo Fu Deng |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Pixel
business.industry Gaussian ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition General Medicine Image detection Mixture model RGB color space symbols.namesake Distribution (mathematics) Computer Science::Computer Vision and Pattern Recognition Histogram symbols Artificial intelligence business Selection (genetic algorithm) ComputingMethodologies_COMPUTERGRAPHICS Mathematics |
| Zdroj: | Applied Mechanics and Materials. :482-486 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.128-129.482 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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