Research On The Technologies Of Special Content-Based Erotic Image Filtering

With the continuous development of technology network progressed rapidly. WEB just like a double-edged sword, many morally corrupt men ran into upload pictures of many obscene, pornographic, causing serious pollution of cyberspace, when we are rejoicing in powerful WEB. Many researchers using blockade pornographic websites, filtering the text information with sensitive words to clean the WEB. But the image control of pornography is not very effective, so the technology of filtering sensitive image that based on content emerged as the times require. In this paper, we study the based on the specific content of the sensitive image filtering techniques. The study included the following.Sensitive image filtering module includes skin detection module,texture detection module,feature extraction module and classification module. In the skin detection module, compared through experiments, this paper proposed the method of combining color space model and statistical histogram model. Compared with color space model, Gaussian mixture model, and statistical histogram model, the experimental results show that the detection speed up to 2.32 images per second. In the texture detection module, in this paper, five kinds of commonly texture algorithms are researched. In the algorithm of skin texture, a fuzzy clustering algorithm which based on particle swarm optimization and the Gabor wavelet transform edge detection is proposed in this article. It has achieved good results. By comparison with the DCT transformation method can be seen that using this method, the correct detection rate increases 16% and the error detection rate decreases 22%.In classifier selection, this article selected tree as classifier. Experimental results show that the filtering of sensitive images have a significant effect, it is able to distinguish between sensitive image and normal image.