敏感图片过滤中大块皮肤区域的检测方法

Big skin exposure detection for adult image filtering

针对色情图片中大块皮肤区域的特点,提出一种简单有效的检测方法。首先通过RGB颜色空间上的一个分段肤色模型过滤掉非肤色像素,得到候选皮肤区域;然后利用候选区域内像素的纹理粗糙度,统计得到整个候选区域的纹理粗糙度进行纹理过滤;最后计算候选肤色块的分形维数,用以过滤最难区分的沙漠类照片中的伪皮肤区域。实验结果表明,算法保持了较高的检出率和较低的误检率。

With regard to the features of the big skin exposure in the adult images,we propose a hybrid detection approach which is composed of such three parts as color filtering,texture filtering and geometry filtering.A subsection processing skin color model was used to filter the non-skin color pixels and get the candidate skin regions.Then a coarse-degree-based texture filtering was used to filter the pixels with rough texture and skin color tone.At last we filtered the skin-like region（such as deserts or beaches） by fractal dimensions.The experimental results indicate this approach has high detection ratio and high precision.