Simple Image Thresholding

Simple method to calculate the threshold of an image
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Mise à jour 20 nov. 2013

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This method first estimates a cutoff, then calculates the distribution of pixels within the cutoff in order to determine the final threshold.

I have found this method to work quite well for fluorescence microscopy images in which most of the pixels are background and the background is approximately gaussian.

There are a couple parameters than can be used to tune the threshold.

Citation pour cette source

Jake Hughey (2024). Simple Image Thresholding (https://www.mathworks.com/matlabcentral/fileexchange/44291-simple-image-thresholding), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2010b
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Remerciements

Inspiré par : Ridler-Calvard image thresholding

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Version Publié le Notes de version
1.3.0.0

Slight refinement to only use pixels below the cutoff for calculating the threshold.

1.2.0.0

Updated the description.

1.1.0.0

Fixed bug caused by mode not accepting integers.