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Proceedings Paper

Data processing for measuring tread contour of a train wheel based on computer vision
Author(s): Qiancheng Zhao; Shanxi Deng; Yingfu Guo; Yongyue Yang
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Paper Abstract

Dimension and form of a train wheel tread contour are the key controlled parameters in manufacturing and running process. Projecting laser light line to the tread contour, the left image and the right one of the light line in the measured countour are caught by using two CCD cameras. After calibrating the two images and other processing, the two images are pieced together to form a free-form curve. Measuring and data processing are completed in two steps as using "Bi-measurement Evaluation Test", the first step is modeling and the second is testing. Comparing the real coordinate values of Testing points with their theoretical ones reconstructed from the form model, the problem whether the model expresses the contour features enough can be resolved. If the answer is yes, the number and position distribution of sampling points are rational, then we can estimate the standard deviation (σ) of noise in the measuring sequence made up of coordinate values of sampling points. The fact that the standard deviation (σ) of noise in the real measuring sequence is about 0.1600mm is estimated by real measuring and data analysis.

Paper Details

Date Published: 13 October 2006
PDF: 7 pages
Proc. SPIE 6280, Third International Symposium on Precision Mechanical Measurements, 628025 (13 October 2006); doi: 10.1117/12.716319
Show Author Affiliations
Qiancheng Zhao, Hunan Univ. of Science and Technology (China)
Shanxi Deng, Hefei Univ. of Technology (China)
Yingfu Guo, Hunan Univ. of Science and Technology (China)
Yongyue Yang, Hefei Univ. of Technology (China)

Published in SPIE Proceedings Vol. 6280:
Third International Symposium on Precision Mechanical Measurements
Kuang-Chao Fan; Wei Gao; Xiaofen Yu; Wenhao Huang; Penghao Hu, Editor(s)

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