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Proceedings Paper

Design of inspection system for surface defects on industrial parts under complex background
Author(s): Yudan Wang; Desheng Wen; Zongxi Song
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Paper Abstract

This work aims at detecting defects on metallic industrial parts with complex surface. The searched defects are scar, rust and inclusion. A specific inspection system has been designed to deal with the particular inspected surface features. In the system, two images are acquired with the help of multiple light sources and CCD color digital camera. Based on the traditional algorithm, the background removal algorithm is designed in this article, and the color image feature extraction is also used for auxiliary analysis. A thresholding processing is then applied on this image in order to segment the imperfections. The perimeter and area of defects are calculated to further identifies the characteristics. The developed inspection system has been tested and it can accurately detect the defects of industrial parts with complex background. The recognition rate of algorithm is more than 96%.

Paper Details

Date Published: 24 October 2017
PDF: 7 pages
Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620P (24 October 2017); doi: 10.1117/12.2282664
Show Author Affiliations
Yudan Wang, Xi'an Institute of Optics and Precision Mechanics (China)
Univ. of Chinese Academy of Sciences (China)
Desheng Wen, Xi'an Institute of Optics and Precision Mechanics (China)
Zongxi Song, Xi'an Institute of Optics and Precision Mechanics (China)


Published in SPIE Proceedings Vol. 10462:
AOPC 2017: Optical Sensing and Imaging Technology and Applications
Yadong Jiang; Haimei Gong; Weibiao Chen; Jin Li, Editor(s)

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