关键词: 肤色检测, 颜色均衡, 椭圆肤色模型, 分裂式K均值聚类（FKM）, 鲁棒性

Abstract: The complex image background and the varying lighting conditions lead to the low detection rate, this paper presents a novel color detection method to solve this problem. The Gray World color balance is carried out to compensating the light before detecting the skin area. After that choose to create the high detection efficiency ellipse model for skin color detection, then the paper detects skin color area on the K-means clustering using split（FKM） for the second sentence to make the detection more accurate. The experiment results show that this detection algorithm can detect skin area accurately and efficiently, and it has higher accuracy and robustness.

Key words: skin color detection, color balance, ellipse model, Fissive K-Means（FKM）, robustness