Global Threshold computation using Otsu's Method
Global Threshold computation using Otsu's Method
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
Computes the global image threshold using Otsu's method by minimizing the
inter-class variance.
Inputs:
histogramCounts : is the histogram data of the image, that can be calculated
using `imhist` function.
total: is the total number of pixels that can be counted using the
`numel` function.
Output:
ll : is the level of the global threshold in [0 1]
Example:
consider the grayscale image is Ig
>> otsu(imhist(Ig),numel(Ig))
>> 04414
Cite As
Reza Ahmadzadeh (2026). Global Threshold computation using Otsu's Method (https://au.mathworks.com/matlabcentral/fileexchange/52437-global-threshold-computation-using-otsu-s-method), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (1.65 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
