摘要
提出了一种改进的皮肤区域检测算法,首先以改进的皮肤颜色检测模型为基础检测可能的肤色点,进一步对可能的肤色区域进行腐蚀、膨胀处理以去除零散肤色点,获得连通性较好的可能皮肤区域,之后通过灰度共生矩阵度量纹理特性,去除非肤色区域。实验数据表明该算法能够有效提高视频图像的皮肤区域检测的准确率。
An improved detection algorithm was presented. Firstly, an improved skin color model, which adopted many preprocessing including optical offset, auto white balance, and auto gamma correction, was built to detect candidate skin pixels. Secondly, the image was filtered with erosion and dilation to exclude unconnected candidate pixels. Lastly, gray co-matrix was used to exclude those candidate human skin regions with complex texture. Experimental results show that this algorithm improves the skin region detection precision.
出处
《通信学报》
EI
CSCD
北大核心
2009年第4期6-10,共5页
Journal on Communications
基金
国家重点基础研究发展计划(“973”计划)基金资助项目(2007CB311100)
国家高技术研究发展计划(“863”计划)基金资助项目(2007AA01Z416)
国家自然科学基金资助项目(6077356)
北京市科技新星计划基金资助项目(2007B071)~~
关键词
皮肤区域检测
肤色模型
灰度共生矩阵
线段编码
连通区域
skin region detection
skin color model
gray co-matrix
line segment coding
connected region
