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Proceedings Paper

Detection algorithm for dimensional measurement and damage defect recognition of piston rings
Author(s): Tao He; Qinghua Wu; Zhen Zeng
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Paper Abstract

Due to high speed requirement of real-time online inspection, and disturbances in industrial scene such as illumination and vibration, the captured image of piston ring by CCD is not very distinct, interfering following image procedures greatly. Therefore, in this paper, two models of dimensional measurement and damage defect recognition for piston rings are both established and wavelet transform is added in the process to analysis the edge image to ensure the precision and accuracy of detection results. A series of detection algorithms are elaborated in detail. The first step in the algorithms is to make image-preprocess to original images of piston rings by extracting interested area, image-filtering, and image erosion, with the aim of obtaining precise edge of piston rings' images for defect recognition. In the next step, wavelet transform method is used to calculate accurate edge of piston rings, thus dimension parameters of piston rings could be calculated after calibration of pixel. Then the least squares method is applied to fit a relative datum curve of the edge of piston rings. Based on defect recognition algorithm model and the procedures above, the detection algorithm can distinguish the upper and lower surface of piston rings, recognize piston rings' breakages and justify whether piston rings are conforming or not. The application of detection algorithm has been used to actualize non-contact automatic online inspection system.

Paper Details

Date Published: 31 December 2010
PDF: 6 pages
Proc. SPIE 7544, Sixth International Symposium on Precision Engineering Measurements and Instrumentation, 754439 (31 December 2010); doi: 10.1117/12.885430
Show Author Affiliations
Tao He, Hubei Univ. of Technology (China)
Huazhong Univ. of Science and Technology (China)
Qinghua Wu, Hubei Univ. of Technology (China)
Huazhong Univ. of Science and Technology (China)
Zhen Zeng, Hubei Univ. of Technology (China)
Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7544:
Sixth International Symposium on Precision Engineering Measurements and Instrumentation
Jiubin Tan; Xianfang Wen, Editor(s)

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