Web projektu DAR

Research Centre
Data - Algorithms - Decision Making

Established in 2005 under support of MŠMT ČR (project 1M0572)

Publications

A Subspace Approach to Texture Modelling by Using Gaussian Mixtures

Typ:

Conference paper

Authors:

Grim J., Haindl M., Somol P., Pudil P.

Proceedings name:

Proceedings of the 18th International Conference on Pattern Recognition. ICPR 2006

Publisher:

IEEE Press

Serie:

Hong Kong

Year:

2006

Pages:

235-238

ISBN:

0-7695-2521-0

ISSN:

1051-4651

Contact:

Ing. Jiří Grim, CSc. (ÚTIA - Oddělení rozpoznávání obrazů)

Keywords:

texture modelling, Gaussian mixtures, subspace approach

Anotation:

Assuming local and shift-invariant texture properties we describe the statistical dependencies between pixels by a joint probability density of gray-levels within a suitably chosen observation window. We estimate the unknown multivariate density in the form of a Gaussian mixture of product components from data obtained by shifting the observation window by considering a subspace approach based on a structural mixture model.