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Proceedings Paper

Automatic segmentation and classification of weld defects by x-ray inspection
Author(s): De-Chen Zhan; Jing-Chun Chen
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Paper 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.

Paper Details

Date Published: 1 November 1992
PDF: 10 pages
Proc. SPIE 1823, Machine Vision Applications, Architectures, and Systems Integration, (1 November 1992); doi: 10.1117/12.132082
Show Author Affiliations
De-Chen Zhan, Harbin Institute of Technology (China)
Jing-Chun Chen, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 1823:
Machine Vision Applications, Architectures, and Systems Integration
Bruce G. Batchelor; Susan Snell Solomon; Frederick M. Waltz, Editor(s)

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