Parametric Active Contour for Boundary Estimation of Weld Defects in Radiographic Testing

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 presents an adaptive probabilistic region-based deformable model using an explicit representation that aims to extract automatically defects from

Weld defect segmentation and restoration from rough radiographic image: (a) Defined ROI in rough weld radiographic image, (b) ROI image with initial contour (dashed green line)

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

Also the level set function is easily initialized with a binary function, which is more efficient to construct than the widely used signed distance function (SDF). The

In this approach we exploit the performance of the GVF as external force and enhance it by joining to it external adaptive pressure forces which bring speed to the snake evolution

In this approach we exploit the performance of the GVF as external force and enhance it by joining to it an external adaptive pressure forces which speeds up to the snake

In this approach we exploit the performance of the GVF as external force and enhance it by joining to it an external adaptive pressure forces which speeds up to the snake