Title :
A statistical detection of an anomaly/target from noisy tomographic projections
Author :
Fillatre, Lionel ; Nikiforov, Igor
Author_Institution :
Laboratoire de Modelisation et Surete des Syst., Univ. de Technol. de Troyes, France
Abstract :
The problem of detecting an anomaly/target from a limited number of noisy tomographic projections is addressed from the statistical point of view. We study an unknown two-dimensional scene composed of an environment, considered as a nuisance parameter set, with a possibly hidden anomaly/target. An optimal statistical invariant test is proposed to solve such a problem.
Keywords :
computerised tomography; medical image processing; statistics; anomaly detection; computerized tomography; noisy tomographic projections; nuisance parameter set; optimal statistical invariant test; statistical detection; target detection; Attenuation; Biomedical imaging; Computed tomography; Layout; Maximum likelihood detection; Medical tests; Object detection; Statistical analysis; Testing; Working environment noise;
Conference_Titel :
Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on
Print_ISBN :
953-184-061-X
DOI :
10.1109/ISPA.2003.1296930
