Paper
29 May 2007 Parametric active contour for weld defects boundary extraction in radiographic testing
A. B. Goumeidane, M. Khamadja, N. Nacereddine, F. Mekhalfa
Author Affiliations +
Proceedings Volume 6356, Eighth International Conference on Quality Control by Artificial Vision; 63560R (2007) https://doi.org/10.1117/12.736718
Event: Eighth International Conference on Quality Control by Artificial Vision, 2007, Le Creusot, France
Abstract
Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems associated with initialization and poor convergences to boundary concavities have aroused, which restricts their utility. This paper presents a new approach to deal with the defects contours estimation problem in radiographic images using parametric active contours. 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 progression, makes it less sensitive to initialization and provides capability of tracking the concavities.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
A. B. Goumeidane, M. Khamadja, N. Nacereddine, and F. Mekhalfa "Parametric active contour for weld defects boundary extraction in radiographic testing", Proc. SPIE 6356, Eighth International Conference on Quality Control by Artificial Vision, 63560R (29 May 2007); https://doi.org/10.1117/12.736718
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Cited by 8 scholarly publications.
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KEYWORDS
Image enhancement

Diffusion

Image quality

Image contrast enhancement

Image processing

Image segmentation

Machine vision

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