Statistical detection of defects in radiographic images in nondestructive testing

Authors:
I. G. Kazantsev;I. Lemahieu;G. I. Salov;R. Denys
Affiliations:
Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Blockley Hall, Fourth Floor, 423 Guardian Drive, Philadelphia, PA;Sint-Pietersnieuwstraat 41, Electronics and Information Systems Department, Ghent University, B-9000, Ghent, Belgium;Institute of Computational Mathematics and Mathematical Geophysics (Computing Center), 630090, Novosibirsk, Russia;Sint-Pietersnieuwstraat 41, Department of Mechanical Construction and Production, Ghent University, B-9000, Ghent, Belgium
Venue:
Signal Processing
Year:
2002

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Abstract

In this paper, we investigate applicability of statistical techniques for defect detection in radiographic images of welds. The defect detection procedure consists in a statistical hypothesis testing using several nonparametric tests. A comparison of rules derived for image thresholding for a given level of false alarm is presented. In this work we consider circular defects such as cavities and voids. Numerical experiments with real data are performed.