Local and Global Statistics-Based Explicit ActiveContour for Weld Defect Extraction inRadiographic Inspection

With the advances in computerscience and artificial intelligence techniques, the opportunity to develop computer aided technique forradiographic inspection in Non-Destructive

With the advances in computer science and artificial intelligence techniques, the opportunity to develop computer aided technique for radiographic inspection

In this paper, performance criteria are used to conduct a comparative study of thresholding methods based on gray level histogram, 2D histogram and locally adaptive approach for

This paper deals with the detection of multiple defects in radiographic films, and presents a new region based snake which exploits a statistical formulation

The rectangularity and the roundness in the geometric descriptor (GEO) are used in order to propose an hybridization algorithm so that the hybrid descriptor issued from GEO and each

The rectangularity and the roundness in the geometric descriptor (GEO) are used in order to propose an hybridization algorithm so that the hybrid descriptor issued

The experimental results are very promising, since experiments on synthetic and radiographic images show the ability of the proposed model to extract a piece- wise

Weld defect features are computed from the segmentation result (final binary level set).. We have computed several features; they are ranked in two categories: Geometric features