DocumentCode :
2489526
Title :
Describing texture directions with Von Mises distributions
Author :
Grana, Costantino ; Borghesani, Daniele ; Cucchiara, Rita
Author_Institution :
Dipt. di Ing. dell Inf., Universitd degli Studi di Modena e Reggio Emilia, Italy
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
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.
Keywords :
correlation methods; document image processing; image texture; support vector machines; SVM classifier; Von Mises distributions; autocorrelation matrix; document image processing; manuscripts images; support vector machines; texture characterization; Autocorrelation; Histograms; Image analysis; Image resolution; Image segmentation; Image texture analysis; Support vector machine classification; Support vector machines; Testing; US Department of Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4761821
Filename :
4761821
Link To Document :
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