Detecting adult image using multiple features
This paper presents a new method to detect naked people in an image using multiple features. The skin color model is firstly used to detect naked skin areas roughly. The Sobel edge operator and Gabor filter are used to weed those that are not really human skin pixels. Images that have many naked skin areas are thought maybe to have naked people. The color coherence vector and color histogram of these images are calculated and the SVM (support vector machine) is used to determine which of these images contain images of naked people.