Content-Based Study On The Human Torso Detection Technology Of Pornographic Image

With the rapid development of Internet information technology in 21st century, the network information has become a kind of people's convenient information source and leisure lifestyle. But the Internet also is flooded with all kinds of pornographic contents, which terribly influences on the people's normal network life, particularly the health of teenagers. As the monitoring technical support, content-based filtering technology to adverse information has gradually attracted people's attention. However, the current pornographic image recognition system's detection accuracy and efficiency are both low, or one high one low.This paper observes many pornographic images and gets some human structure characteristics and considers whether human body's sensitive organs or parts are shown should be used to judge the pornographic image's feature. From the new perspective, the paper makes a deep research on pornographic image recognition and detection technology. Combining human body structure characteristics, adaptive skin detection method, low-pass filter, image segmentation, region merging technology, a content-based human torso detection method is proposed.The paper mainly do the following research work. Firstly, the paper introduces the skin detection principle. The paper selects the adaptive Gaussian skin model based the YCbCr color space to detect skin regions. The low-pass filter is used to eliminate the images' noises. The experimental results show the method can effectively detect the skin regions. Secondly, the paper makes a introduction to the key technology of image segmentation. The paper chooses the Normalized Cut (Ncut) method. The experiment also achieves good results. Thirdly, the paper gives a introduction of the content-based human torso detection algorithm. The algorithm framework and implementation is described in detail. Lastly, the paper do experimental analysis and verification. The experimental results show the algorithm proposed in this paper achieves 93.3% detection rate. And it basically implements the sensitive parts' positioning of the pornographic image. So it achieves the desired research aim. And the subject from a new perspective provides a new technical support for prohibiting the pornographic images' flooding.