DocumentCode :
2487619
Title :
A colour text/graphics separation based on a graph representation
Author :
Raveaux, Romain ; Burie, Jean-Christophe ; Ogier, Jean-Marc
Author_Institution :
L3I Lab., Univ. of La Rochelle, La Rochelle
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
In this paper, a colour text/graphics segmentation is proposed. Firstly, it takes advantage of colour properties by computing a relevant hybrid colour model. Then an edge detection is performed to construct a binary image composed of contour information. From this contour image, connected components are classified according to a graph representation. Text and graphic diversity is taken into account by a prototype selection scheme for structural data. Finally, the approach is evaluated on colour cadastral maps and a comparative study is presented.
Keywords :
document image processing; edge detection; graph theory; image colour analysis; image representation; image segmentation; binary image; colour cadastral maps; colour text segmentation; contour information; edge detection; graph representation; graphic diversity; graphics segmentation; hybrid colour model; Context modeling; Engineering drawings; Fourier transforms; Graphics; Image color analysis; Image converters; Image edge detection; Image segmentation; Laboratories; Prototypes;
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.2008.4761725
Filename :
4761725
Link To Document :
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