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Sauvola local image thresholding

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Sauvola local image thresholding

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11 Feb 2013 (Updated )

Sauvola binarization method is well suited for ill illuminated or stained documents.

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Description

The implemented Sauvola method uses integral images for fast computation of the threshold function.

The Sauvola method is described in:

    J. Sauvola and M. Pietikainen, Adaptive document image binarization, Pattern Recognition 33, 2000. - http://www.mediateam.oulu.fi/publications/pdf/24.pdf

The modification which uses integral images providing a 20-fold speedup (according to the paper) is described in this paper:

    F. Shafait, D. Keysers, and T. M. Breuel, Efficient implementation of local adaptive thresholding techniques using integral images, Document Recognition and Retrieval XV, 2008 - http://www.dfki.uni-kl.de/~shafait/papers/Shafait-efficient-binarization-SPIE08.pdf

A paper evaluating binarization methods:

P. Stathis, E. Kavallieratou and N. Papamarkos - An Evaluation Technique for Binarization Algorithms, Journal of Universal Computer Science, 2008, - http://www.papamarkos.gr/uploaded-files/An%20Evaluation%20Technique%20for%20Binarization%20Algorithms.pdf

MATLAB release MATLAB 6.5 (R13)
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Updates
22 Feb 2013

Typo.

22 Feb 2013

Typo.

18 Mar 2013

Improved parameter checking.

08 May 2013

Link corrected

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