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

Type : Publication
Auteur(s) :  Mohammed Halimi, Naim Ramou
Année :  2013
Domaine : Génie électrique
Revue : Russian Journal of Nondestructive Testing
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  radiographic method, weld inspection, defect dimensions, Signal processing

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 of weld defects from radiographic images using level set segmentation. The information would be used in the area of nondestructive testing (NDT). This method is found to be effective and robust.