The skin color segmentation algorithm based on the Cr*A*B color space

Skin color segmentation plays an important role in the biological feature recognition system. In order to improve the system adaptability to the complex environment, a new model of Cr*a*b by combing the YCbCr with Lab model is proposed. Firstly, establish the three-dimensional coordinate system based on the Cr, a, b axes, the two-two coordinates form the directional vectors by using the origin as the starting point. Then calculate the angles between the three vectors. Finally, realize the purpose of skin color segmentation by reducing the dimensions of angle data. Experimental results show that this algorithm can improve the over sensitive of YCbCr model to red and yellow, the defect of the skin color weak clustering in the Lab model is also overcame. Even if for the image with complex background environment, the percent of average accurate detection is about 87.7%. The proposed algorithm can get the high skin color segmentation rate and has good practicability. © 2016 SERSC.