Phansalkar local image thresholding

Version 1.1.2 (2.17 MB) by C. M. Belanger Nzakimuena
Phansalkar binarization method is a modification of Sauvola's thresholding method to deal with low contrast images.
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Updated 28 Oct 2023
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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/

MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.1.2

See release notes for this release on GitHub: https://github.com/cnzakimuena/Phansalkar-local-image-thresholding/releases/tag/v1.1.2
1.1.1

See release notes for this release on GitHub: https://github.com/cnzakimuena/Phansalkar-local-image-thresholding/releases/tag/v1.1.1
1.1

See release notes for this release on GitHub: https://github.com/cnzakimuena/Phansalkar-local-image-thresholding/releases/tag/v1.1
1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.