A Statistical Detection of an Anomaly from a Few Noisy Tomographic Projections

A Statistical Detection of an Anomaly from a Few Noisy Tomographic Projections

<p/> <p>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...

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Bibliographic Details
Main Authors: Fillatre Lionel, Nikiforov Igor
Format: Article
Language:English
Published: SpringerOpen 2005-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
statistical hypotheses testing
(non)linear parametric model
nuisance parameter
invariant tests
missing observations
computerized tomography
Online Access:http://dx.doi.org/10.1155/ASP.2005.2215

Internet

http://dx.doi.org/10.1155/ASP.2005.2215

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