An algorithm of skin detection based on texture

摘要：

Skin detection is widely used in many domains such as face detection and tracking as well as sensitive image detection. In this paper, RGB, YCbCr and HSV color spaces are used to conduct experimental comparison of skin color detection. The skin color detection based on HSV color space characteristic is very capable of making a distinction between the skin point and non-skin points in the picture. Moreover, this paper proposes a texture-based skin detection technique. It takes advantage of gray statistics to extract texture features and implements skin color detection combining with HSV color space. Experimental data shows that this texture detection algorithm based on gray statistics is effective for skin detection, which improves results of the skin detection to some degree.

关键词： Skin detection HSV color space Texture Gray statistics

作者: Lei Yang Xiaoyu Wu Hui Li Dewei Zhao Jun Zhai

作者单位: Digital Media Department. Communication University of China Beijing,China Digital Media Department. ommunication University of China Beijing,China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 1852-1856

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）