EC project no. IST-2001-34744 RealReflect
 
 
Texture Modelling by Discrete Distribution Mixtures
 
Jiri Grim     Michal Haindl



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.
Further information can be found in the papers:
CSDA
 Grim,J. - Haindl,M.
Texture Modelling by Discrete Distribution Mixtures
Computational Statistics and Data Analysis, vol. 43, no. 3-4, pp. 603-615, ISSN: 0167-9473, Elsevier Science, 2003.

Textures 2002
 Grim, J. Haindl, M.
A Discrete Mixtures Colour Texture Model
In: Proceedings Texture 2002, The 2nd international workshop on texture analysis and synthesis, Copenhagen 2002, M. Chantler Ed., ISBN 0-901658-99-5, pp.59-62,63-66, Heriot-Watt University.
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