%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