Detection and localization of an anomaly from noisy projections

Lionel Fillatre (1) , Igor V. Nikiforov (1)

1 LM2S - Laboratoire Modélisation et Sûreté des Systèmes

The problem of detecting an anomaly/target from a limited number of noisy tomographic projections is addressed from the statistical point of view. An unknown 2D (or 3D) scene is composed of an environment, considered as a nuisance parameter, with a possibly hidden anomaly/target. A parametric approach is proposed to reduce the lack of a priori information and two statistical tests are discussed : the first one, invariant, is devoted to simply detect the presence of an unspecified anomaly and the second one is able to simultaneously detect and localize the projection of a size limited anomaly.

Domains: Computer Science [cs]

Lionel Fillatre, Igor V. Nikiforov. Detection and localization of an anomaly from noisy projections. International Symposium onInformation Theory, 2004. ISIT 2004, Jun 2004, Chicago, United States. pp.550-550, ⟨10.1109/ISIT.2004.1365587⟩. ⟨hal-02884036⟩