Invariant shape features and Relevance Feedback for Weld Defect Image Retrieval

Type : Article de conférence
Auteur(s) :  N. Nacereddine, D. Ziou
Année :  2011
Domaine : Electronique
Conférence: VIth International Workshop NDT in Progress
Lieu de la conférence: 
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés :  weld defect, Radiographic testing, shape descriptor, CBIR, relevance feedback

Résumé : 

Relevance feedback mechanism is used in Content-based Image Retrieval (CBIR) to attempt to minimize the amount of interaction between the user and the system required to improve the retrieval system performance. In this work, such system is proposed for weld radiograms in radiographic testing, with the aim of searching from the overall image database, interactively with the radiograph expert, discontinuities similar to some common weld defect types such as, crack, lack of penetration, porosity and solid inclusion. Similarity measures use feature vectors based on shape descriptors invariant to usual geometric transformations. Experiments over the tested database demonstrate that the CBIR gives good results and is practical and promising for the future of welded joint radiographic examination.