The detection of weld defect images using shape-from-shading and wavelet denoising methods
Author:
Publisher
British Institute of Non-Destructive Testing (BINDT)
Subject
Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A state-of-the-art survey of welding radiographic image analysis: Challenges, technologies and applications;Measurement;2023-06
2. Welding Defects Detection in Radiographic Images Using an Improved Denoising Technique Combined with an Enhanced Chan-Vese Model;International Journal of Engineering Research in Africa;2022-05-20
3. Interlaced bilateral filtering and wavelet thresholding for flaw detection in the radiography of weldments;The European Physical Journal Plus;2020-01
4. Comparison of four iterative methods for improving the contrast of the radiography images;Physica Scripta;2019-01-25
5. Enhanced defect detection in radiography images of welded objects;Nondestructive Testing and Evaluation;2018-11-15
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