thresholding the minimum cross-entropy
Versión 1.0.0.0 (1,62 KB) por
Fatma Gargouri
Choose "the best threshold" using the method of minimum cross entropy.
The method of minimum cross entropy chooses "the best threshold" which loses less information during the thresholding.
The principle is to calculate the disance D between two distributions P and Q.
D(P,Q)=sum pi log(pi/qi)
Citar como
Fatma Gargouri (2026). thresholding the minimum cross-entropy (https://la.mathworks.com/matlabcentral/fileexchange/35157-thresholding-the-minimum-cross-entropy), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
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R2010b
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- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation > Image Thresholding >
Más información sobre Image Thresholding en Help Center y MATLAB Answers.
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| Versión | Publicado | Notas de la versión | |
|---|---|---|---|
| 1.0.0.0 |