Paper
1 November 1992 Automatic segmentation and classification of weld defects by x-ray inspection
De-Chen Zhan, Jing-Chun Chen
Author Affiliations +
Proceedings Volume 1823, Machine Vision Applications, Architectures, and Systems Integration; (1992) https://doi.org/10.1117/12.132082
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
This paper mainly addresses the problem of automatic segmentation and automatic recognition of weld defects by x-ray inspection. The task of automatic segmentation is to segment the x- ray image accurately into regions of weld defects and regions of backgrounds. The task of automatic classification is to classify a defect into different types of weld defects which may be caused by different wrong weldings. Novel and effective algorithms are proposed and discussed.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
De-Chen Zhan and Jing-Chun Chen "Automatic segmentation and classification of weld defects by x-ray inspection", Proc. SPIE 1823, Machine Vision Applications, Architectures, and Systems Integration, (1 November 1992); https://doi.org/10.1117/12.132082
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image segmentation

X-rays

X-ray imaging

Defect inspection

Inspection

Image classification

Image processing algorithms and systems

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