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Proceedings Paper

Research on detection method of end gap of piston rings based on area array CCD and image processing
Author(s): Yan Sun; Zhong Wang; Qi Liu
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Paper Abstract

Piston ring is one of the most important parts in internal combustion engine, and the width of end gap is an important parameter which should be detected one by one. In comparison to the previous measurements of end gap, a new efficient detection method is presented based on computer vision and image processing theory. This paper describes the framework and measuring principle of the measurement system. In which, the image processing algorithm is highlighted. Firstly, the partial end gap image of piston ring is acquired by the area array CCD; secondly, the end gap edge contour which is connected by single pixel is obtained by grayscale threshold segmentation, mathematical morphology contour edge detection, contour trace and other image processing tools; finally, the distance between the two end gap edge contour lines is calculated by using the least distance method of straight-line fitting. It has been proved by the repetitive experiments that the measurement accuracy can reach 0.01mm. What's more, the detection efficiency of automatic inspected instrument on parameters of piston ring based on this method can reach 10~12 pieces/min.

Paper Details

Date Published: 15 November 2011
PDF: 8 pages
Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83350Z (15 November 2011); doi: 10.1117/12.917542
Show Author Affiliations
Yan Sun, Tianjin Univ. (China)
Zhong Wang, Tianjin Univ. (China)
Qi Liu, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 8335:
2012 International Workshop on Image Processing and Optical Engineering
Hai Guo; Qun Ding, Editor(s)

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