Paper
22 September 1993 Using a microcomputer in fault detection
Kun-Li Wen, John H. Wu
Author Affiliations +
Proceedings Volume 2101, Measurement Technology and Intelligent Instruments; (1993) https://doi.org/10.1117/12.156426
Event: Measurement Technology and Intelligent Instruments, 1993, Wuhan, China
Abstract
X-Ray radiography method is a typicial human-visual testing among NDT (nondestructive testing). Due to the labor's film-identified needs and the long practical experience, the skilled labors are hard to be trained. Not only the labor's skiliness and spiritness will affect the quality of the film-identified, hut also the qualtity parameters of flaw (e.g. the size of flaw) cannot be determined by labor within short time. However, computer vision image processing system can give some good characteristics ,such as, high speed, quantitative parameters and non-human's error etc. Developing this system to assist the labor's film-identified will be certainly assuring the film quality, meanwhile, it will be the most powerful method of on-line flaw testing in the future. This paper just focuses the research topic at the identification of X-ray film for the butt welding steel materials1. First, to analize the defect's image model in the X-ray film, then by the image processing technique to build up the propper edge detecting operator and the edge detecting rule, and finally, by the derived edge detector operator to do the mask operation to the X-ray film image, and to detect the flow contour from the segmented defect image for following identification and classification. In this study, we make use of the fuzzy pattern recognition2 and hierarchy classifier to identify the welding flaws.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kun-Li Wen and John H. Wu "Using a microcomputer in fault detection", Proc. SPIE 2101, Measurement Technology and Intelligent Instruments, (22 September 1993); https://doi.org/10.1117/12.156426
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KEYWORDS
Image processing

Image segmentation

X-rays

Inspection

Edge detection

X-ray imaging

Digital image processing

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