%0 Conference Proceedings
%T ε-Optimal Anomaly Detection in Parametric Tomography
%+ Laboratoire Modélisation et Sûreté des Systèmes (LM2S)
%A Fillatre, Lionel
%A Nikiforov, Igor, V.
%A Retraint, Florent
%< avec comité de lecture
%B 2006 IEEE International Conference on Acoustics Speed and Signal Processing
%C Toulouse, France
%I IEEE
%3 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
%P III-277-III-280
%8 2006-05-14
%D 2006
%R 10.1109/ICASSP.2006.1660644
%Z Engineering Sciences [physics]/Signal and Image processingConference papers
%X The paper concerns the radiographic non-destructive 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 detection scheme is proposed as an alternative to the classical GLR test. It is shown that this original decision rule detects anomalies with a loss of a negligible (epsiv) part of optimality with respect to an optimal invariant test designed for the "closest" hypothesis testing problem with linear nuisance parameters
%G English
%L hal-02366204
%U https://utt.hal.science/hal-02366204
%~ CNRS
%~ UNIV-TROYES
%~ UTT
%~ UTT-LIST3N
%~ LM2S-UTT