Detection of defects in weld radiograph imagesby using the Gradient Vector Flow active contour

Type : Article de conférence
Auteur(s) :  M. BENREBAYA, M. Halimi
Année :  2007
Domaine : Génie électrique
Conférence: 3èmes Journées Internationales sur l’Informatique Graphique JIG’2007 Constantine, Algérie
Lieu de la conférence: 
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  Active contour models, Edge detection, gradient vector flow, weld radiographic defects

Résumé : 

In this paper we use the active contour gradient vector flow models for edge detection and segmentation of weld radiographic defects. These models are widely used in many applications, including edge, shape modeling, segmentation and motion tracking. Active contour is a method which deforms a closed contour to the boundary of an object in an image. This deformation is made under the influence of internal forces, image forces and external constraint forces. Gradient Vector Flow (GVF) is an external force for active contour model which replaces the image force.We have chosen this model among many other models of active contours because this one gives a best convergence to concave boundaries compared with the traditional snake.