摘要
为提高数字图像中皮肤检测的准确性,在研究数字图像皮肤纹理特点的基础上,分析了基于灰度统计值的纹理检测算法及问题,在RGB彩色空间将基于灰度直方图统计矩的方法改造成基于纹理刷的色阶偏差法,并构建皮肤纹理检测器,对肤色检测器检测输出的皮肤区域再做纹理检测,保留和皮肤纹理一致的区域,去除误检区域。实验结果表明,该方案可提高对图像皮肤区域检测的有效性。
In order to improve the efficiency of detecting the skin areas in digital images, the characteristics of skin texture was studied and the method of skin texture detection based on the statistical moment of grey level histogram was proposed. The method based on the statistical moment of grey level histogram was then transfered into the color-order deviation one based on the texture-brush in RGB color space. A skin texture examining tool was designed by re-detecting the texture of certain skin areas detected by the skin color detection tool so as to remain the part accorded with the texture features and wipe off the incorrect. The result showed that the efficiency of detecting the skin areas in images is improved.
出处
《四川大学学报（工程科学版）》
EI
CAS
CSCD
北大核心
2005年第4期95-99,共5页
Journal of Sichuan University (Engineering Science Edition)
基金
国家自然科学基金资助项目(10076011)
关键词
纹理检测
肤色模型
图像过滤
数字图像处理
skin texture detection
skin color model
image filtering
digital image processing
