FTH is a fuzzy thresholding method for image segmentation. The method is based on relating each pixel in the image to the different regions via a membership function, rather than through hard decisions. The membership function of each of the regions is derived from a fuzzy c-means centroid search. As a consequence, each pixel will belong to different regions with a different level of membership. This feature is exploited through spatial processing to make the thresholding robust to noisy environments.
Method proposed in:
Aja-Fernández, S., A. Hernán Curiale, and G. Vegas-Sánchez-Ferrero, "A local fuzzy thresholding methodology for multiregion image segmentation", Knowledge-Based Systems, vol. 83, pp. 1-12, 07/2015.
This new version is highly improved.
New Version, 4.0
SANTIAGO AJA-FERNANDEZ (2023). Soft thresholding for image segmentation (https://www.mathworks.com/matlabcentral/fileexchange/36918-soft-thresholding-for-image-segmentation), MATLAB Central File Exchange. Retrieved .
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Inspired by: elmat+ 2.2
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Reference to the published paper added.
- The centroids are now searched by a fuzzy c-means.
Small change to correct a bug in 3D
A bug in shiftmat is corrected
Version 3: It admits 3D data and rgb images. It has no limit of number of output sets. Some minor bugs were corrected
Bug corrected for more than 5 maxima in smoothed histogram