Automatic Thresholding

Version 1.0.0.0 (2,43 ko) par zephyr
Provides automatic thresholding based on the ISODATA method.
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Mise à jour 31 mars 2016

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This iterative technique for choosing a threshold was developed by Ridler and Calvard .The histogram is initially segmented into two parts using a starting threshold value such as 0 = 2B-1, half the maximum dynamic range.
The sample mean (mf,0) of the gray values associated with the foreground pixels and the sample mean (mb,0) of the gray values associated with the background pixels are computed. A new threshold value 1 is now computed as the average of these two sample means. The process is repeated, based upon the new threshold, until the threshold value does not change any more.

Reference :T.W. Ridler, S. Calvard, Picture thresholding using an iterative selection method, IEEE Trans. System, Man and Cybernetics, SMC-8 (1978) 630-632.

Citation pour cette source

zephyr (2024). Automatic Thresholding (https://www.mathworks.com/matlabcentral/fileexchange/3195-automatic-thresholding), MATLAB Central File Exchange. Récupéré le .

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Version Publié le Notes de version
1.0.0.0

BSD license