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Proceedings Paper

An improved measurement method for large aviation part based on spatial constraint calibration and compression extraction
Author(s): Yang Zhang; Fan Yang; Wei Liu; Zhiyuan Zhang; Haiyang Zhao; Zhiguang Lan; Peng Gao; Zhenyuan Jia
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Paper Abstract

An accurate measurement of large aviation part plays a key role in the assembly of aircraft. However, due to the limitation of spatial size, a calibration with large field of view and an accurate surface measurement of large part is hard to achieve. In this paper, an improved measurement method with spatial constraint calibration method and feature compression extraction method is proposed. Firstly, based on the proposed spatial constraint calibration method, the vision system is conveniently and precisely calibrated by using the designed SBA and SLT. Images of scanning laser stripes are captured by the calibrated cameras, simultaneously. Then the proposed feature compression extraction method is adopted to accurately extract centers of laser stripes. Finally, based on the binocular vision principle, the surface of part is reconstructed. The accuracy of proposed calibration method is verified in the lab. The results of the measurement of a standard part show the validity and precision of the proposed method.

Paper Details

Date Published: 21 July 2017
PDF: 7 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104201H (21 July 2017);
Show Author Affiliations
Yang Zhang, Dalian Univ. of Technology (China)
Fan Yang, Dalian Univ. of Technology (China)
Wei Liu, Dalian Univ. of Technology (China)
Zhiyuan Zhang, Dalian Univ. of Technology (China)
Haiyang Zhao, Dalian Univ. of Technology (China)
Zhiguang Lan, Dalian Univ. of Technology (China)
Peng Gao, Dalian Univ. of Technology (China)
Zhenyuan Jia, Dalian Univ. of Technology (China)

Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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