A statistical detection of an anomaly from a few noisy tomographic projections - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Eurasip Journal on Applied Signal Processing Année : 2005

A statistical detection of an anomaly from a few noisy tomographic projections

Résumé

The problem of detecting an anomaly/target from a very limited number of noisy tomographic projections is addressed from the statistical point of view. The imaged object is composed of an environment, considered as a nuisance parameter, with a possibly hidden anomaly/target. The GLR test is used to solve the problem. When the projection linearly depends on the nuisance parameters, the GLR test coincides with an optimal statistical invariant test.

Dates et versions

hal-01562647 , version 1 (16-07-2017)

Identifiants

Citer

Lionel Fillatre, Igor V. Nikiforov. A statistical detection of an anomaly from a few noisy tomographic projections. Eurasip Journal on Applied Signal Processing, 2005, Advances in Intelligent Vision Systems: Methods and Applications - Part II, 14, pp.2215-2228. ⟨10.1155/ASP.2005.2215⟩. ⟨hal-01562647⟩
73 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More