10 August 1998 Computer vision application for weld defect detection and evaluation
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yue Liu, Yue Liu, Xiaohong Li, Xiaohong Li, Dahai Ren, Dahai Ren, Shenghua Ye, Shenghua Ye, Bengang Wang, Bengang Wang, Jie Sun, Jie Sun, } "Computer vision application for weld defect detection and evaluation", Proc. SPIE 3558, Automated Optical Inspection for Industry: Theory, Technology, and Applications II, (10 August 1998); doi: 10.1117/12.318417; https://doi.org/10.1117/12.318417


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