Abstract: The talk addresses models for texture and colour that can be applied to semi-automatic segmentation of images. Pixelwise independent mixture models in colour space ("Bayesian Matting") are surprisingly powerful, but cannot deal with overlapping distributions in colour space. Additional discriminative power can be derived from texture models. This talk presents some results with patch models, Markov models, and patch-Markov models.