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 Montecarlo simulation.
Uncertainty handling and propagation in X-ray images analysis systems by means of Random Fuzzy Variable
SALICONE, SIMONA;
2008-01-01
Abstract
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 Montecarlo simulation.File in questo prodotto:
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