Texture modelling by discrete distribution mixtures

A new method of texture modelling based on discrete distribution mixtures is proposed. Unlike some alternative approaches the statistical properties of textures are modelled by a discrete distribution mixture of product components. The univariate distributions in the products are represented in full generality by vectors of probabilities without any constraints. The texture analysis is made in the original quantized grey level coding. An e5cient texture synthesis is based on easy computation of arbitrary conditional distributions from the model. We include several successful monospectral texture applications of the method to demonstrate the advantages and weak points of the presented approach. c © 2002 Published by Elsevier Science B.V.