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Proceedings Paper

Computer vision application for weld defect detection and evaluation
Author(s): Yue Liu; Xiaohong Li; Dahai Ren; Shenghua Ye; Bengang Wang; Jie Sun
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Paper Abstract

This paper introduces the components of the hardware, software, working principle and the defect detection capacity of computer vision system for x-ray real time radiography weld defect detection and evaluation. Meanwhile, the image processing system is studied in which an image transformation algorithm is presented for defect extraction. Moreover, a sectional curve fitting algorithm and an algorithm based on probability are proposed to locate the defects. At the end of the paper, a pattern recognition method is introduced for the automatic identification of weld defects.

Paper Details

Date Published: 10 August 1998
PDF: 4 pages
Proc. SPIE 3558, Automated Optical Inspection for Industry: Theory, Technology, and Applications II, (10 August 1998); doi: 10.1117/12.318417
Show Author Affiliations
Yue Liu, Tianjin Univ. (China)
Xiaohong Li, Tianjin Univ. (China)
Dahai Ren, Tianjin Univ. (China)
Shenghua Ye, Tianjin Univ. (China)
Bengang Wang, Liao He Oil Exploration Bureau (China)
Jie Sun, Liao He Oil Exploration Bureau (China)


Published in SPIE Proceedings Vol. 3558:
Automated Optical Inspection for Industry: Theory, Technology, and Applications II
Shenghua Ye, Editor(s)

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