Detecting Bloody Images Using Multi-Features

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.