摘要
常用的肤色模型只针对肤色的颜色信息,在较复杂的光照情况下检测效果不理想。为此,结合肤色在HSV颜色空间的分布特点以及肤色区域的边缘信息,提出一种应用于肤色区域检测的边缘跟踪方法。实验结果表明,该方法能准确检测图像中的肤色区域,检测结果优于传统的肤色模型,且对侧光、阴影等具有较好的鲁棒性。
Common skin models focus on the color information of skin, they cannot therefore obtain an ideal effect in complex light environment. Based on the distribution characteristics of the skin in HSV color space and the skin edge information, this paper presents a new edge tracking method, it can detect skin region in an image accurately, and the recognition result is better than traditional models. It has also better robustness even in slide light or shadow condition.
出处
《计算机工程》
CAS
CSCD
2012年第14期165-166,170,共3页
Computer Engineering
关键词
肤色区域检测
肤色模型
颜色空间
边缘跟踪
优先搜索方向
skin color region detection
skin color model
color space
edge tracking
first search direction
