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

Author

Mencattini, Arianna ; Rabottino, Giulia ; Salicone, Simona ; Salmeri, Marcello

Author_Institution

Dept. of Electron. Eng., Univ. di Roma "Tor Vergata", Rome

fYear

2008

fDate

21-22 July 2008

Firstpage

50

Lastpage

55

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 Monte Carlo simulation.

Keywords

diagnostic radiography; fuzzy logic; image denoising; image enhancement; mammography; measurement errors; measurement uncertainty; medical image processing; X-ray images analysis systems; computer aided detection system; contrast enhancement; image denoising; mammography; medical image processing; noise variance estimation; random-fuzzy variables; systematic errors; uncertainty handling; Additive noise; Digital images; Fuzzy systems; Image analysis; Image converters; Optical films; Optical noise; Pixel; Uncertainty; X-ray imaging; Systematic errors; medical image processing; noise estimation; random fuzzy variables;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Methods for Uncertainty Estimation in Measurement, 2008. AMUEM 2008. IEEE International Workshop on

Conference_Location

Trento

Print_ISBN

978-1-4244-2236-4

Electronic_ISBN

978-1-4244-2237-1

Type

conf

DOI

10.1109/AMUEM.2008.4589934

Filename

4589934