Phansalkar binarization method is a modification of Sauvola's thresholding method to deal with low contrast images.
https://github.com/cnzakimuena/Phansalkar-local-image-thresholding
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The Phansalkar method is described in:
N. Phansalkar, S. More, A. Sabale, and M. Joshi, "Adaptive local thresholding for detection of nuclei in diversity stained cytology images," in 2011 International Conference on Communications and Signal Processing, 2011, pp. 218-220: IEEE.
Cite As
Bélanger Nzakimuena, C. (2020). Automated Analysis of Retinal and Choroidal OCT and OCTA Images in AMD (Masters thesis, Polytechnique Montréal). Retrieved from https://publications.polymtl.ca/5234/
General Information
- Version 1.1.2 (2.17 MB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.1.2 | See release notes for this release on GitHub: https://github.com/cnzakimuena/Phansalkar-local-image-thresholding/releases/tag/v1.1.2 |
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| 1.1.1 | See release notes for this release on GitHub: https://github.com/cnzakimuena/Phansalkar-local-image-thresholding/releases/tag/v1.1.1 |
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| 1.1 | See release notes for this release on GitHub: https://github.com/cnzakimuena/Phansalkar-local-image-thresholding/releases/tag/v1.1 |
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| 1.0 |
