DETECTION OF DEFECTS IN WELD RADIOGRAPHIC IMAGES BY USING MULTI-SCALE GVF B-SPLINE SNAKE
Type : Article de conférence
Auteur(s) : ,
Année : 2011
Domaine : Electronique
Conférence: International Workshop on Systems, Signal Processing and their Applications (WoSSPA’11)
Lieu de la conférence:
Résumé en PDF :
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Mots clés : Defect extraction, Snake, GVF, Multi-scale, B-Spline.
Auteur(s) : ,
Année : 2011
Domaine : Electronique
Conférence: International Workshop on Systems, Signal Processing and their Applications (WoSSPA’11)
Lieu de la conférence:
Résumé en PDF :
Fulltext en PDF :
Mots clés : Defect extraction, Snake, GVF, Multi-scale, B-Spline.
Résumé :
In this paper, we use the active contour models (Snakes) for edge detection and segmentation of weld defects in radiographic images. Gradient Vector Flow snakes enhance the concave object extraction capability. However, the GVF snakes are sensitive to noise. Several new snake models were developed by combining different methods with GVF snake. Here, a multiscale GVF and B-spline model is proposed to overcome the traditional GVF disadvantage. Experiments on synthetic and radiographic images are promising.