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Soft thresholding for image segmentation

version 4.0.0.0 (14.5 KB) by SANTIAGO AJA-FERNANDEZ
Image segmentation based on histogram soft thresholding

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Updated 09 Jun 2015

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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.
URL http://www.sciencedirect.com/science/article/pii/S095070511500129X
DOI 10.1016/j.knosys.2015.02.029

This new version is highly improved.

New Version, 4.0

Cite As

SANTIAGO AJA-FERNANDEZ (2022). Soft thresholding for image segmentation (https://www.mathworks.com/matlabcentral/fileexchange/36918-soft-thresholding-for-image-segmentation), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R14
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: elmat+ 2.2

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