Article Dans Une Revue Journal of Nondestructive Evaluation Année : 2022

Image Fusion Based on Evidence Theory for Multi-Energy X-Ray Computed Tomography

Résumé

For diagnosis in industrial applications, X-Ray computed tomography (XCT) has proven its interest for various industrial applications where 3D imaging of complex shapes is required. However, it's not possible to fully represent a multi-material object with a single XCT image. In such cases, valuable information can be revealed using multi-energy X-Ray computed tomography. This imaging technique has various advantages over standard XCT. Multi-energy XCT can either be done by using photon counting detectors in a single acquisition scan, or using energy integration detectors and several acquisition scans. In either case, several reconstructed images are obtained for each energy band. In the present study, a combination of projections acquired at different energy is done in such a way to provide the operator with a single XCT image where all the information is present. Although this information is qualitative, it allows to get the 3D imaging of the whole multi-material structure in a single reconstructed image. The proposed approach is based on the Dempster-Shafer evidence theory.

Fichier principal
Vignette du fichier
Image_Fusion_Based_on_Evidence_Theory_for_Multi-En.pdf (1.7 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Licence

Dates et versions

hal-04921981 , version 1 (30-01-2025)

Licence

Identifiants

Citer

Fatima Zahra Oujebbour, Valerie Kaftandjian. Image Fusion Based on Evidence Theory for Multi-Energy X-Ray Computed Tomography. Journal of Nondestructive Evaluation, 2022, 41 (3), pp.53. ⟨10.1007/s10921-022-00883-0⟩. ⟨hal-04921981⟩
33 Consultations
83 Téléchargements

Altmetric

Partager

  • More