Volume 2 Number 6 (Aug. 2007)
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JCP 2007 Vol.2(6): 26-34 ISSN: 1796-203X
doi: 10.4304/jcp.2.6.26-34

A Simple Algorithm for Defect Detection From a Few Radiographies

Lionel Fillatre, Igor Nikiforov, Florent Retraint
1Institut Charles Delaunay (ICD - FRE CNRS 2848) Université de Technologie de Troyes Troyes, France

Abstract—The paper concerns the radiographic nondestructive testing of well-manufactured objects. The detection of anomalies is addressed from the statistical point of view as a binary hypothesis testing problem with nonlinear nuisance parameters. A new simple and numerically stable detection scheme is proposed as an alternative to the conventional generalized likelihood ratio test which becomes untractable in the non-linear case. This original decision rule detects the anomalies with a loss of a negligible part of optimality with respect to an optimal test designed for the “closest” hypothesis testing problem with linear nuisance parameters. The inspection of nuclear fuel rods is discussed to illustrate the relevance of the proposed theoretical solution.

Index Terms—Anomaly detection, Parametric tomography, Statistical hypotheses testing, Nuisance parameter, Nondestructive testing

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Cite:Lionel Fillatre, Igor Nikiforov, Florent Retraint, "A Simple Algorithm for Defect Detection From a Few Radiographies," Journal of Computers vol. 2, no. 6, pp. 26-34, 2007.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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