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2006 IEEE International Conference on Multimedia and Expo
A New Approach for Texture Features Extraction: Application for Text Localization in Video Images
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
Bassem Bouaziz, MIRACL, Higher Institute of Computer Science and Multimedia, Sfax, Tunisia; LIRIS UMR 5205 CNRS/INSA/Ecole Centrale de Lyon, France. bassem.bouaziz@fsegs.rnu.tn
Walid Mahdi, MIRACL, Higher Institute of Computer Science and Multimedia, Sfax, Tunisia. walid.mahdi@isims.rnu.tn
Mohsen Ardabilain, LIRIS UMR 5205 CNRS/INSA/Ecole Centrale de Lyon, France. mohsen.ardabilian@ec-lyon.fr
Abdelmajid Hamadou, MIRACL, Higher Institute of Computer Science and Multimedia, Sfax, Tunisia. benhamadou.abdelmajid@isims.rnu.tn
In this paper we present a new texture feature extraction approach. Existing methods are generally time consuming and sensible to image complexity in terms of texture's regularity, directionality and coarseness. So that we propose a method which provide both rapidity and accuracy to extract and characterize texture features. It's based on Hough Transform technique combined with an extremity segment's neighbourhood analysis and a new computation algorithm to extract segments and detect regularity. Experimental results show that this approach is robust and can be applied not only to texture analysis but also to detect text within video images.
Citation:
Bassem Bouaziz, Walid Mahdi, Mohsen Ardabilain, Abdelmajid Hamadou, "A New Approach for Texture Features Extraction: Application for Text Localization in Video Images," icme, pp.1737-1740, 2006 IEEE International Conference on Multimedia and Expo, 2006
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