Detection of Defects in Weld Radiographic Images by Using Chan-Vese Model and Level Set Formulation

Type : Article de conférence
Auteur(s) :  Y. Boutiche
Année :  2011
Domaine : Electronique
Conférence: International Conference on Digital Information and Communication Technology and its Applications DICTAP 2011
Lieu de la conférence: 
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  image segmentation, Curve evolution, Chan-Vese Model, EDPs

Résumé : 

In this paper, we propose a model for active contours to detect boundaries’ objects in given image. The curve evolution is based on Chan-Vese model implemented via variational level set formulation. The particularity of this model is the capacity to detect boundaries’ objects without need to use gradient of the image, this propriety gives its several advantages: it allows detecting both contours with or without gradient, it has ability to detect automatically interior contours, and it is robust in the presence of noise. For increasing the performance of model, we introduce the level sets function to describe the active contour, the more important advantage to use level set is the ability to change topology. Experiments on synthetic and real (weld radiographic) images show both efficiency and accuracy of implemented model.