21 July 2017 An improved measurement method for large aviation part based on spatial constraint calibration and compression extraction
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Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 104201H (2017) https://doi.org/10.1117/12.2281659
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China
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.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yang Zhang, Yang Zhang, Fan Yang, Fan Yang, Wei Liu, Wei Liu, Zhiyuan Zhang, Zhiyuan Zhang, Haiyang Zhao, Haiyang Zhao, Zhiguang Lan, Zhiguang Lan, Peng Gao, Peng Gao, Zhenyuan Jia, Zhenyuan Jia, } "An improved measurement method for large aviation part based on spatial constraint calibration and compression extraction", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 104201H (21 July 2017); doi: 10.1117/12.2281659; https://doi.org/10.1117/12.2281659
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