Paper
16 September 2002 Real-time weld defect inspection system in x-ray images
Yi Sun, En-Liang Wang, Peng Zhou, Mohan Li
Author Affiliations +
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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi Sun, En-Liang Wang, Peng Zhou, and Mohan Li "Real-time weld defect inspection system in x-ray images", Proc. SPIE 4929, Optical Information Processing Technology, (16 September 2002); https://doi.org/10.1117/12.483225
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Defect detection

Fuzzy logic

Detection and tracking algorithms

X-rays

X-ray imaging

Image processing

Algorithms

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