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Proceedings Paper

Real-time weld defect inspection system in x-ray images
Author(s): Yi Sun; En-Liang Wang; Peng Zhou; Mohan Li
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Paper Abstract

Detection of weld defects is still done by the human interpreter. The problems of this process are subjective, inconsistent, labor intensive and fatigue of the interpreter. It is desirable to develop a computer-aided system to assist the human interpreter in evaluating the quality of welded part. In this paper, a real-time weld inspection system is presented. The system consists of three steps. First, extracting the weld part within the whole image by a fast algorithm based on the gray level, then the defect detection is applied on this part. Second, reducing the affection of the noise and making the defect more evident. A method to average several consecutive frames is used in the preprocessing part. Last, detecting the flaw. A more effective fuzzy theory that is based on the local image characteristics such as spatial contrast and spatial variance is used to determine the existence of a weld defect. The result shows success of the system in detecting weld defects.

Paper Details

Date Published: 16 September 2002
PDF: 6 pages
Proc. SPIE 4929, Optical Information Processing Technology, (16 September 2002); doi: 10.1117/12.483225
Show Author Affiliations
Yi Sun, Dalian Univ. of Technology (China)
En-Liang Wang, Dalian Univ. of Technology (China)
Peng Zhou, Dalian Univ. of Technology (China)
Mohan Li, Dalian Univ. of Technology (China)

Published in SPIE Proceedings Vol. 4929:
Optical Information Processing Technology
Guoguang Mu; Francis T. S. Yu; Suganda Jutamulia, Editor(s)

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