Automatic weld recognition and extraction from real-time X-ray images using quadratic curve fitting and multi-order differences analysis of intensity profile
This paper presents a fast and adaptive method for weld extraction. Firstly, a fast algorithm was developed to recognise and alarm welds with large surface defects such as burn-through. Then, the upper and lower boundary ranges of the weld in the middle column of the image were estimated based on least-square quadratic curve fitting and a deviation threshold. The weld boundary ranges in the other columns were estimated by the weld edges of the adjacent detected column. Finally, the first-order and second-order differences of the intensity profiles in the estimated boundary range were analysed to judge whether there was a defect near or on the weld edge, and different approaches based on second-order differences analysis were subsequently proposed to extract the weld. Results show that the proposed method is effective to detect and extract different types of weld, with or without defects, in a real-time X-ray weld image.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
Document Type: Research Article
Publication date: October 1, 2011
More about this publication?
- Official Journal of The British Institute of Non-Destructive Testing - includes original research and devlopment papers, technical and scientific reviews and case studies in the fields of NDT and CM.
- Information for Authors
- Submit a Paper
- Subscribe to this Title
- Information for Advertisers
- Terms & Conditions
- Ingenta Connect is not responsible for the content or availability of external websites