Elen's Thresholding
A histogram-based global thresholding method for image binarization
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
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.
- Assoc. Prof. Dr. Abdullah Elen (aelen@bandirma.edu.tr)
- Assoc. Prof. Dr. Emrah Dönmez (emrahdonmez@bandirma.edu.tr)
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.
General Information
- Version 1.0.0 (3.16 MB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
