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.