Sauvola local image thresholding

Versione 1.4.0.0 (6,33 KB) da Jan Motl
Sauvola binarization method is well suited for ill illuminated or stained documents.
5.0
(9)
4,9K download
Aggiornato 8 mag 2013

Visualizza la licenza

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

Cita come

Jan Motl (2024). Sauvola local image thresholding (https://www.mathworks.com/matlabcentral/fileexchange/40266-sauvola-local-image-thresholding), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R13
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

sauvola/

Versione Pubblicato Note della release
1.4.0.0

Link corrected
1.3.0.0

Improved parameter checking.
1.2.0.0

Typo.
1.1.0.0

Typo.
1.0.0.0