A Novel Skin Image Detection Method Based on GMM and GAs
2011 ◽
Vol 128-129
◽
pp. 482-486
Keyword(s):
Roc Test
◽
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.
2014 ◽
Vol 35
(7)
◽
pp. 1650-1656
◽
Keyword(s):
2014 ◽
Vol 998-999
◽
pp. 823-827
Keyword(s):
2021 ◽
Vol 3
(1)
◽
pp. 108-119
Keyword(s):
2020 ◽
Vol ahead-of-print
(ahead-of-print)
◽
Keyword(s):
Keyword(s):
2014 ◽
Vol 1049-1050
◽
pp. 1747-1750
Keyword(s):
2013 ◽
Vol 275-277
◽
pp. 2548-2554
Keyword(s):