摘要
为了提高人脸检测的速度与性能,提出一种基于肤色相似度与动态阈值相结合的肤色分割方法。首先在YCgCr颜色空间计算肤色相似度,然后给出一种基于类间方差和类内离散度相结合的动态阈值确定方法,根据求得的动态阈值进行肤色分割,并对肤色分割后的二值图像进行滤除噪声处理。实验结果表明该方法改善了肤色分割性能,能够在复杂背景下实现肤色区域的精确分割,从而提高了人脸检测的速度和性能。
A method for skin segmentation based on similarity of skin color and dynamic threshold is proposed to improve the speed and performance of face detection.Firstly, the similarity of skin color is calculated in YCgCr space.Then, the method based on between-cluster variance and within-class scatter for selecting the threshold dynamically is proposed.Skin color segmentation is implemented according to the dynamic threshold.The binary image obtained by skin segmentation is processed in order to elimi- nate noise.The experimental results show that the proposed algorithm improves the performance of skin segmentation,and can seg- ment skin regions exactly in the complex background so as to improve the speed and performance of face detection.
出处
《计算机工程与应用》
CSCD
北大核心
2010年第18期1-3,12,共4页
Computer Engineering and Applications
基金
国家高技术研究发展计划(863)No.2006AA04Z259
中国博士后基金资助项目No.20060400809
中央高校基本科研业务费专项资金资助项目No.HEUCF100606
国家教育部博士点专项基金资助No.20092304120013~~
关键词
人脸检测
肤色分割
肤色相似度
阈值分割
动态阈值确定
face detection
skin segmentation
similarity of skin color
threshold segmentation
dynamic threshold selecting
