Share Email Print

Proceedings Paper

Computer Vision System For Inspecting Defects In Welding Seams Based On X-Ray Pictures
Author(s): Nanning Zheng; Xiaoyu Duan; Wei Lin
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

This paper presents a new special computer vision system to inspect the defects in welding seams of acetylene cans based on X-ray pictures. The system configuration is introduced briefly and basic problems are discussed. A high resolution CCD linear array camera is used for scanning pictures displaied the screen on X-ray image intensifier. We propose several new methods to determine the defect position and representation, to reconstruct the defect boundary, and to extract local features for defect classification. Experimental results show that the proposed methods are effective. The system can distinguish a minimum of l6 decimillimetres defective patterns. Further investigations are suggestedd on more generality of the methods and more reliable stability of the inspection.

Paper Details

Date Published: 30 January 1990
PDF: 6 pages
Proc. SPIE 1153, Applications of Digital Image Processing XII, (30 January 1990); doi: 10.1117/12.962351
Show Author Affiliations
Nanning Zheng, Xi'an Jiaotong University (China)
Xiaoyu Duan, Xi'an Jiaotong University (China)
Wei Lin, Xi'an Jiaotong University (China)

Published in SPIE Proceedings Vol. 1153:
Applications of Digital Image Processing XII
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top