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Forschungsstelle
INNOSUISSE
Projektnummer
12220.1;4 PFIW-IW
Projekttitel
GEOMEX: Highly accurate models and associated real time algorithms for the estimation of geometric parameters of multilayer diskshaped objects in motion using multiple X-ray projections
Projekttitel Englisch
GEOMEX: Highly accurate models and associated real time algorithms for the estimation of geometric parameters of multilayer disk-shaped objects in motion using multiple X-ray projections

Texte zu diesem Projekt

 DeutschFranzösischItalienischEnglisch
Kurzbeschreibung
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Abstract
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Erfasste Texte


KategorieText
Kurzbeschreibung
(Deutsch)
GEOMEX: Highly accurate models and associated real time algorithms for the estimation of geometric parameters of multilayer diskshaped objects in motion using multiple X-ray projections
Kurzbeschreibung
(Englisch)
GEOMEX: Highly accurate models and associated real time algorithms for the estimation of geometric parameters of multilayer disk-shaped objects in motion using multiple X-ray projections
Abstract
(Deutsch)
The goal of the proposed project is the development of highly accurate models and associated on-line algorithms for the estimation of the geometric parameters of multilayer disk-shaped objects in motion using multiple X-ray projections. Preliminary work has shown, that for a high accuracy estimation of the above parameters, first order models are not accurate enough. In this project, more complex models with associated on-line algorithms are derived, which allow an efficient and fast estimation of the necessary parameters with the desired accuracy. In addition, the accuracy is further improved by a motion estimation scheme over several measurements
Abstract
(Englisch)
The goal of the proposed project is the development of highly accurate models and associated on-line algorithms for the estimation of the geometric parameters of multilayer disk-shaped objects in motion using multiple X-ray projections. Preliminary work has shown, that for a high accuracy estimation of the above parameters, first order models are not accurate enough. In this project, more complex models with associated on-line algorithms are derived, which allow an efficient and fast estimation of the necessary parameters with the desired accuracy. In addition, the accuracy is further improved by a motion estimation scheme over several measurements