Uncertainty handling and propagation in X-ray images analysis systems by means of Random-Fuzzy Variables

In this paper we consider uncertainty handling and propagation by means of RFV through a Computer Aided Detection (CAD) system for denoising and contrast enhancement of mammographic images. In this context, we assume that uncertainty associated to each pixel of the image has both a random and a not negligible systematic contribution. So, after a noise variance estimation performed on the original image, using recent RFV mathematics, we propagate uncertainty through the whole system. Finally, we compare our results with those obtained by a Monte Carlo simulation.