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Journal articles

Multi-scale binarization of images

Salvatore Tabbone 1 Laurent Wendling 1
1 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, we propose an original approach for the binarization of gray level images. A multi-scale algorithm based on a statistical test of homogeneity decides if a region belongs to the background or not. At each iteration the image is smoothed with a nonlinear filter to remove the noise. Stable regions in scale space are used as a model to automatically find a threshold from the intensity histogram.
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Submitted on : Tuesday, September 26, 2006 - 9:39:38 AM
Last modification on : Friday, February 4, 2022 - 3:11:14 AM


  • HAL Id : inria-00099638, version 1



Salvatore Tabbone, Laurent Wendling. Multi-scale binarization of images. Pattern Recognition Letters, Elsevier, 2003, 24 (1-3), pp.403-411. ⟨inria-00099638⟩



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