Abstract
Four new color space models were constructed based on Bhattacharyya distance aiming at skin detection. Meanwhile, according to Bhattacharyya distance measurements of each feature in the new color spaces, some most discernible features were selected to form an assembled model for skin detection. Then, in traditional color spaces and four new spaces,Bhattacharyya distance and positive detection rate were compared on skin and non-skin samples. The experimental results indicate that the new color spaces based on maximal class separability performs better. Eventually, the illustration of skin segmentation in color images also verifies the effectivenesses of both new color space model and assembled model.
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