DocumentCode :
2958198
Title :
A New Approach for Texture Features Extraction: Application for Text Localization in Video Images
Author :
Bouaziz, Bassem ; Mahdi, Walid ; Ardabilain, Mohsen ; Hamadou, A.B.
Author_Institution :
Higher Inst. of Comput. Sci. & Multimedia, MIRACL, Sfax
fYear :
2006
fDate :
9-12 July 2006
Firstpage :
1737
Lastpage :
1740
Abstract :
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
Keywords :
Hough transforms; character recognition; feature extraction; image segmentation; image texture; video signal processing; Hough transform; segment extraction; text detection; text localization; texture feature extraction; video image; Application software; Data mining; Extremities; Feature extraction; Image processing; Image retrieval; Image segmentation; Image texture analysis; Indexing; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2006 IEEE International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0366-7
Electronic_ISBN :
1-4244-0367-7
Type :
conf
DOI :
10.1109/ICME.2006.262886
Filename :
4036955
Link To Document :
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