Extraction of weld defects dimension from radiographic images using the level set segmentation without re-initialization

Type : Article de conférence
Auteur(s) :  N. Ramou, Y. Boutiche, M. Halimi
Année :  2012
Domaine : Génie électrique
Conférence: The 3rd International Conference on welding, nondestructive testing and the industry of materials and alloys (ICWNDT-MI'12)
Lieu de la conférence:  Oran, Algeria
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  Level set segmentation, Radiographic weld defect, weld defects Dimension, NDT

Résumé : 

Radiographic images segmentation is the major interest for the weld defect diagnosis and monitoring in the field of industry. In this work we present a method that takes ownership of local segmentation geodesic active contours. The goal of the method presented in this paper is to automate the process of extracting dimension characteristics from radiographic images using level set segmentation to provide information which is used in the area of nondestructive testing (NDT). This method is found to be effective and robust.