Description: SEG_FUZZY is a soft 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 the histogram of the image. 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:
Santiago Aja-Fernández, Gonzalo Vegas-Sánchez-Ferrero, Miguel A. Martín Fernández, Soft thresholding for medical image segmentation, EMBC 2010, Buenos Aires, Sept. 2010.
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File list (Check if you may need any files):
fuzzy_THv3.0
............\shiftmat.m
............\minimizationFunction.m
............\seg_fuzzy.m~
............\seg_fuzzy.m
license.txt
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