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
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A new approach to segment images of historical documents that are in stained paper is presented herein.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document image processing; image colour analysis; image segmentation; distance perception; document image; historical documents; image segmentation; stained papers; Image resolution; Image segmentation; Ink; Noise; ancient documents; segmentation; stained paper; visual perception;
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-6586-6
DOI :
10.1109/ICSMC.2010.5642394