New thresholding methodology published
A new methodology for image thresholding has been recently proposed and published in Knowledge Based Systems: "A local fuzzy thresholding methodology for multiregion image segmentation". The methodology overcomes the common drawbacks of thresholding methods when images are corrupted with artifacts and noise. It is based on relating each pixel in the image to different output centroids via a fuzzy membership function, avoiding any initial hard decision.