Modeling and classifying color textures using random fields in a random environment

Abstract

We present a random environment model for color textures. This model generalizes traditional random field models by allowing the spatial interaction parameters of the field to be random variables. We use this new model to define a compact color feature vector which captures within and between color band information. A set of color textures is used to show that this feature vector contains most of the information in the model. We show experimentally that the new model improves on the performance of multiband Markov fields for texture classification using small samples.