Image Thresholding by Grouping Functions: Application to MRI Images

In this work we present a thresholding algorithm for greyscale images. Our proposal is the use of grouping functions to find the best threshold. These functions are able to measure the belongingness of a grey intensity to the background or to the object of the image, so the best threshold is the one associated with the highest grouping value.