Journal of Computer Applications ›› 2011, Vol. 31 ›› Issue (06): 1617-1620.DOI: 10.3724/SP.J.1087.2011.01617
• Graphics and image technology • Previous Articles Next Articles
YE Lihua
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叶利华
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Abstract: 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.
Key words: skin detection, skin modeling, skin texture, texture coarse degree, fractal dimension
摘要: 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。
关键词: 皮肤检测, 肤色建模, 皮肤纹理, 纹理粗糙度, 分形维数
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YE Lihua. Big skin exposure detection for adult image filtering[J]. Journal of Computer Applications, 2011, 31(06): 1617-1620.
叶利华. 敏感图片过滤中大块皮肤区域的检测方法[J]. 计算机应用, 2011, 31(06): 1617-1620.
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URL: https://www.joca.cn/EN/10.3724/SP.J.1087.2011.01617
https://www.joca.cn/EN/Y2011/V31/I06/1617