Global Threshold computation using Otsu's Method
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
Citation pour cette source
Reza Ahmadzadeh (2026). Global Threshold computation using Otsu's Method (https://fr.mathworks.com/matlabcentral/fileexchange/52437-global-threshold-computation-using-otsu-s-method), MATLAB Central File Exchange. Extrait(e) le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxCatégories
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation > Image Thresholding >
Tags
Découvrir Live Editor
Créez des scripts avec du code, des résultats et du texte formaté dans un même document exécutable.
| Version | Publié le | Notes de version | |
|---|---|---|---|
| 1.0.0.0 |
