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 color feature vector which captures within and
between color band information. We show experimentally that this model
improves on the performance of multiband Markov fields for texture
classification using small samples.