基于亮度自适应色度空间模型肤色算法及应用

Self-Adaptive Chroma Space Model Skin-Color Arithmetic Based on Brightness and Its Application

针对已有肤色算法对亮度信息考虑不足的缺点,在色度空间模型基础上提出了一种在彩色图像中检测肤色像素的新方法———基于亮度的自适应色度空间模型肤色算法。该方法综合了肤色像素在YUV、Y IQ色彩空间上的分布特征,根据图像亮度信息以及I值和UV的夹角值区分肌肤颜色,针对不同肤色选用不同阈值进行检测。实验证明,该方法对偏黄、黑色肌肤(亚洲、非洲人)和偏白色肌肤(欧美人)均有很好的检测效果,肤色像素检测的正确率达93.479 5%,误检率和检测时间相对变化不大,检测效果有明显提高。将此算法用于网络敏感图像过滤中,并设计了图像分类算法,结合网址过滤和关键词封锁技术构建敏感网页过滤器,克服了现有过滤软件算法的滞后性和对图片信息的局限性,基本实现了不影响网络运行条件下的网页的在线检测和分析功能。

Network erotic information brings people very bad influence. Skin-color detection is the key technique of face recognition and erotic image filtering etc. Aim at skin color arithmetic being exist considering the brightness information not enough, a new approach of detecting skin color pixels in muhicolor images based on chroma space model is presented -self-adaptive chroma space model skin color arithmetic based on brightness, the approach colligates the distributed feature in YUV and YIQ color space, and differentiates skin color according to the brightness and angle of UV of images. It chooses different scopes corresponding to different skin-color. Experiments show obvious superiority on yellow, black （Asian, African） and white skins （occidental）. The correctness of skin-color detection is improved to 93.479 5%, little change of error rate and detection time, detection result is improved obviously. The paper applies the arithmetic to image filtering and designs classify arithmetic and combines image filtering, URL and keywords filtering to realize erotic webpage filtering. It overcomes the lag and limit of the filtering software, realizes to supervise and analysis webpage online with little infection on the net normal operation.