A New Fast Skin Color Detection Technique
A New Fast Skin Color Detection Technique
复制标题
一种新的快速肤色检测技术
DOI：
--
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Tarek M. Mahmoud
中科院分区：
文献类型：
--
作者：
Tarek M. Mahmoud
肤色可以为与人类相关的图像分析提供有用且强大的线索，例如人脸检测、色情图像过滤、手部检测和跟踪、数据库和互联网中的人物检索等。此类肤色检测算法的主要问题是耗时，因此无法应用于实时系统。为了克服这个问题，我们引入了一种新的快速皮肤检测技术，该技术可以应用于实时系统。在这种技术中，我们不是测试每个图像像素以将其标记为皮肤或非皮肤（如经典技术中那样），而是跳过一组像素。跳过过程的原因是肤色像素的邻居很可能也是皮肤像素，特别是在成人图像中，反之亦然。该方法可以快速检测肤色和非肤色像素，从而大大减少保护过程所需的 CPU 时间。由于许多快速检测技术都是基于图像调整大小，因此我们将我们提出的像素跳跃技术与图像调整大小一起应用以获得更好的结果。提出了根据测量的 CPU 时间对所提出的跳跃和混合技术进行性能评估。实验结果表明，所提出的方法比相关经典方法取得了更好的结果。关键词——成人图像过滤、图像调整大小、肤色检测、YcbCr 颜色空间。
Skin color can provide a useful and robust cue for human-related image analysis, such as face detection, pornographic image filtering, hand detection and tracking, people retrieval in databases and Internet, etc. The major problem of such kinds of skin color detection algorithms is that it is time consuming and hence cannot be applied to a real time system. To overcome this problem, we introduce a new fast technique for skin detection which can be applied in a real time system. In this technique, instead of testing each image pixel to label it as skin or non-skin (as in classic techniques), we skip a set of pixels. The reason of the skipping process is the high probability that neighbors of the skin color pixels are also skin pixels, especially in adult images and vise versa. The proposed method can rapidly detect skin and non-skin color pixels, which in turn dramatically reduce the CPU time required for the protection process. Since many fast detection techniques are based on image resizing, we apply our proposed pixel skipping technique with image resizing to obtain better results. The performance evaluation of the proposed skipping and hybrid techniques in terms of the measured CPU time is presented. Experimental results demonstrate that the proposed methods achieve better result than the relevant classic method. Keywords—Adult images filtering, image resizing, skin color detection, YcbCr color space.