In this work we describe a new approach for texture characterization. Starting from the autocorrelation matrix an elegant description through a mixture of Von Mises distributions is proposed. A compact 6 valued descriptor is produced for each block and served as input to an SVM classifier. Tests are carried out on high resolution illuminated manuscripts images.
Describing Texture Directions with Von Mises Distributions / Grana, Costantino; Borghesani, Daniele; Cucchiara, Rita. - ELETTRONICO. - (2008), pp. 1-4. (Intervento presentato al convegno 19th International Conference on Pattern Recognition tenutosi a Tampa, Florida, USA nel Dec 8-11) [10.1109/icpr.2008.4761821].
Describing Texture Directions with Von Mises Distributions
GRANA, Costantino;BORGHESANI, Daniele;CUCCHIARA, Rita
2008
Abstract
In this work we describe a new approach for texture characterization. Starting from the autocorrelation matrix an elegant description through a mixture of Von Mises distributions is proposed. A compact 6 valued descriptor is produced for each block and served as input to an SVM classifier. Tests are carried out on high resolution illuminated manuscripts images.
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