Sauvola local image thresholding
Sauvola binarization method is well suited for ill illuminated or stained documents.
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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
Cite As
Jan Motl (2026). Sauvola local image thresholding (https://www.mathworks.com/matlabcentral/fileexchange/40266-sauvola-local-image-thresholding), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.4.0.0 (6.33 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
