Abstract
In this paper, we describe a new approach to color image segmentation, which is considered as a supervised pixel classification problem. The pixel classification algorithm analyses the color texture features, that is to say the texture features that are computed by tacking into account the color components of the neighbor pixels. We determine the most discriminating color texture features among a multidimensional set of color texture features by means of an iterative feature selection procedure associated to an information criterion. We successfully apply our new approach to soccer image segmentation.