Hand´s Skin Detection Based on Ellipse Clustering

Skin color model is an important method in skin color detection. This paper introduced the process of building skin color model based on ellipse clustering and detection to image with this skin color model. Before the skin color model building, we analysed color space and chose lighten-unrelated YCbCr space. Because of the effect of environment when get the image, we compensated illumination with logarithm transformation and filter the right light based on statistic. Also, in order to improve the detecting efficiency, we import an ponderance named Ct to present the number of skin pixels. If Ct lower than a threshold, we look it as non-skin pixels. The experiment proved that this skin color model can detect the skin pixels more effectively and have high robust. Compared to the traditional skin color model such as regional model, single gauss model etc, the algorithmical complexity, detecting rate and error detect rate have evident improvement.