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Communication Dans Un Congrès Année : 2013

A new tomography model for almost optimal detection of anomalies

Résumé

In this paper a new methodology for detecting anomaly from few tomography projections is presented. This methodology exploits a statistical model adapted to the content of radiographs together with hypothesis testing theory. The main contributions are the following. First, using a generic model of the tomography acquisition pipeline, the whole non-destructive testing process is entirely automated. Second, by using testing theory the statistical properties of the proposed test are analytically established. This particularly permits the guaranteeing of a prescribed false-alarm probability and allows us to show that the proposed test is almost optimal. Experimental results show the sharpness of the established results and the relevance of the methodology.
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Dates et versions

hal-02290322 , version 1 (17-09-2019)

Identifiants

  • HAL Id : hal-02290322 , version 1

Citer

Rémi Cogranne, Florent Retraint. A new tomography model for almost optimal detection of anomalies. 2013 20th IEEE International Conference on Image Processing (ICIP), Sep 2013, Melbourne, Australia. pp.1461-1465. ⟨hal-02290322⟩
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