Elen's Thresholding

Version 1.0.0 (3.16 MB) by Abdullah Elen
A histogram-based global thresholding method for image binarization
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Updated 22 Apr 2024
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A histogram-based global thresholding method for image binarization

This study presents a novel and effective approach to global thresholding method of grayscale images. In the proposed method, alpha (α) and beta (β) regions are determined using the mean and standard deviation values of an image histogram. The optimum threshold value is obtained by calculating the average of gray-scale values of the α and β regions.

Main paper:

Elen, A. & Dönmez, E. (2024). Histogram-based global thresholding method for image binarization, Optik, vol. 306, pp. 1-20. https://doi.org/10.1016/j.ijleo.2024.171814

Contact:

Department of Software Engineering, Faculty of Engineering and Natural Sciences, Bandirma Onyedi Eylul University, Balikesir / TURKIYE.

Cite As

Abdullah Elen (2026). Elen's Thresholding (https://github.com/abdullahelen/ElenThreshold/releases/tag/v1.0.0), GitHub. Retrieved .

Elen, Abdullah, and Emrah Dönmez. “Histogram-Based Global Thresholding Method for Image Binarization.” Optik, vol. 306, Elsevier BV, July 2024, p. 171814, doi:10.1016/j.ijleo.2024.171814.

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MATLAB Release Compatibility
Created with R2022b
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1.0.0

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.