A multiple instance learning algorithm for color images classification

After a brief survey on well established methods for image classification, we focus on a recently proposed Multiple Istance Learning (MIL) method which is suitable for applications in image processing. In particular the method is based on a mixed integer nonlinear formulation of the optimization problem to be solved for MIL purposes. The algorithm is applied to a set of color images (Red, Green, Blue, RGB) with the objective of classifying the images containing some specific pattern. The results of our experimentation are reported.