Texture Modelling by Discrete Distribution Mixtures

Jiří Grim Michal Haindl

Abstract:

This texture modelling aaproach is based on discrete distribution mixtures. 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 spectral level coding. An efficient texture synthesis is based on easy computation of arbitrary conditional distributions from the model. Several successful colour texture applications of the method demonstrate the advantages and but also weak points of the presented approach.

Examples



Natural cloth, jute, rattan, buckram textures (upper row) and their synthetic counterparts.

Reference:

Grim, J., and M. Haindl, "A discrete mixtures colour texture model", Texture 2002. The 2nd International Workshop on Texture Analysis and Synthesis, Glasgow, Heriot-Watt University, pp. 59-62, June, 2002.

Grim, J., and M. Haindl, "Texture modelling by discrete distribution mixtures", Computational Statistics & Data Analysis, vol. 41, no. 3-4, pp. 603-615, 2003.