24 October 2017 Design of inspection system for surface defects on industrial parts under complex background
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Proceedings Volume 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications; 104620P (2017) https://doi.org/10.1117/12.2282664
Event: Applied Optics and Photonics China (AOPC2017), 2017, Beijing, China
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%.
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Yudan Wang, Yudan Wang, Desheng Wen, Desheng Wen, Zongxi Song, Zongxi Song, } "Design of inspection system for surface defects on industrial parts under complex background", Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620P (24 October 2017); doi: 10.1117/12.2282664; https://doi.org/10.1117/12.2282664
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