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

• Unité de recherche: INNOSUISSE
• Numéro de projet: 12220.1;4 PFIW-IW
• Titre du projet anglais: 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

Description succincte (Allemand)

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

Description succincte (Anglais)

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

Résumé des résultats (Abstract) (Allemand)

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

Résumé des résultats (Abstract) (Anglais)

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