Simple Image Thresholding
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 .
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- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Image Segmentation > Image Thresholding >
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Inspiré par : Ridler-Calvard image thresholding
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Version | Publié le | Notes de version | |
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1.3.0.0 | Slight refinement to only use pixels below the cutoff for calculating the threshold. |
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1.2.0.0 | Updated the description. |
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1.1.0.0 | Fixed bug caused by mode not accepting integers. |