Samy Sadek, U. Sayed, and B. Michaelis, “Two phases neural network-based system for pornographic image classification,” in 5th International Conference: Sciences Of Electronic,Technologies Of Information and Telecommunications (SETIT’09), (TUNISIA), pp. 1–6, March 2009. Read more

In this paper, we propose a supervised method for color image classification based on a multilevel sigmoidal neural network (MSNN) model. In this method, images are classified into five categories, i.e., “Car”, “Building”, “Mountain”, “Farm” and “Coast”. This classification is performed without any segmentation processes. To verify the learning capabilities of the proposed method, we compare our MSNN model with ... Read more