An Optimal Chrominance Plane in the RGB Color Space for Skin Color Segmentation

pose changes, the distribution of skin colors in color planes is very employ color histogram based approaches to skin color segmentation. sis of skin colors directly in the RGB color space. Our idea is simple observation that skin colors of a person in the RGB color space are linear fashion, we apply PCA techniques to RGB values of skin colors s collected online. The axis along which the data is spread most illumination intensity. We use the remaining two axes to form a e distribution of skin colors is invariant. We have preprocessed the algorithm in order to compare the color constancy property of the and IQ planes. As we expected, the retinex algorithm significantly in colors in the HS and IQ planes. The experimental results show that r segmentation using the proposed plane is much more robust to compared to those using HS or IQ planes. color segmentation. ery important problem for the realization of vision based humanst practical solution to this problem is color segmentation where lookup of a learned 2D color histogram [1, 2]. The two axes of the the chrominance component of an appropriate 3D color space. Most or building color histograms are the HS plane of the HIS color space color space [6].