Detecting Bloody Images Using Multi-Features

摘要：

In this paper, we present an automatic system for bloody image detection on the internet. A quick blood model in HIS color space is employed to identify the blood regions and then the fractal dimension and the information entropy of these regions are extracted. At last all the features are fed to a SVM -classifier to tell whether the image is bloody or not. Our experiments on real-world web image data indicate that this system can detect the bloody images with high recall ratio and high precision ratio.

关键词： bloody image detection blood model fractal dimension PIM SVM

作者: Yuanwang Wei Haiming Yin Xiangqiong Huang

作者单位: Computer Application Research Lab, Jiaxing University, Jiaxing 314001, China

会议类型: 国际会议

会议名称: 2011 International Conference on Machanical Engineering,Materials and Energy(2011年机械工程、材料与能源国际会议 ICMEME 2011)

会议地点: 大连

会议语种:英文

页码: 569-572

在线出版日期: 2011-10-19（万方平台首次上网日期，不代表论文的发表时间）