Skin color has been proven to be a useful and robust cue for face detection

localization and tracking.Naked skin region is one of the most important features to detect the erotic pictures.For detecting the skin images effectively

a skin color classification technique that employs Bayesian decision with color statistics data

which include(1 809 502) skin pixels and(1 763 682) non-skin pixels gathered from YCbCr color space

has been presented.Considering the influence of luminance(Y component) on skin color

the skin color model is constructed by two lookup tables in Y-Cb and Y-Cr subspaces.To use 2 lookup tables(LUTs) together

Gaussian normalization and linear converting are used to normalize the range of threshold value to.To filter scattering points

both LUTs are processed by median filter.Experimental results have demonstrated that this method can provide lower false dismissal rate(9.814%) lower false detection rate(3.5%)

compared with three methods given in this paper

and achieve better detection performance in various lighting conditions.