计算机应用 ›› 2011, Vol. 31 ›› Issue (06): 1617-1620.DOI: 10.3724/SP.J.1087.2011.01617

• 图形图像技术 • 上一篇    下一篇

敏感图片过滤中大块皮肤区域的检测方法

叶利华   

  1. 嘉兴学院 数理与信息工程学院,浙江 嘉兴 314001
  • 收稿日期:2011-01-18 修回日期:2011-03-01 发布日期:2011-06-20 出版日期:2011-06-01
  • 通讯作者: 叶利华
  • 作者简介:叶利华(1978-),男,浙江衢州人,讲师,硕士,主要研究方向:数字图像处理、计算机视觉。
  • 基金资助:
    浙江省自然科学基金资助项目;浙江省公益性技术应用研究计划项目

Big skin exposure detection for adult image filtering

YE Lihua   

  1. College of Mathematics Physics and Information Engineering, Jiaxing University, Jiaxing Zhejiang 314001, China
  • Received:2011-01-18 Revised:2011-03-01 Online:2011-06-20 Published:2011-06-01
  • Contact: YE Lihua

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

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

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