DocumentCode :
3188694
Title :
Segmentation of images of stained papers based on distance perception
Author :
Mello, Carlos A B
Author_Institution :
Center of Inf., Fed. Univ. of Pernambuco, Recife, Brazil
fYear :
2010
fDate :
10-13 Oct. 2010
Firstpage :
1636
Lastpage :
1642
Abstract :
A new approach to segment images of historical documents that are in stained paper is presented herein. Due to their characteristics, these images are very difficult to segment, especially in documents with high illumination variance along the image, non-uniform degradation and the presence of smudges or smears. We propose herein the decreasing of the foreground information (the ink) by simulating the information we perceive when we go far from the document image. As we stand back, the text tends to disappear remaining just the main colors from the background. The method is very efficient in documents with several types of degradation although it is not suitable for small noises.
Keywords :
document image processing; image colour analysis; image segmentation; distance perception; document image; historical documents; image segmentation; stained papers; Image resolution; Image segmentation; Ink; Noise; ancient documents; segmentation; stained paper; visual perception;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
1062-922X
Print_ISBN :
978-1-4244-6586-6
Type :
conf
DOI :
10.1109/ICSMC.2010.5642394
Filename :
5642394
Link To Document :
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