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Quantitative evaluation of the defocusing degree in fringe projection profilometry
Author(s): Cong Liu; Zhuoyi Yin; Xiaopeng Liu; Zhihong Xu
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Paper Abstract

Camera/projector defocusing is a method of generating sinusoidal images for binary images in fringe projection profilometry. While the most appropriate degree of defocus is often difficult to determine. Therefore, in this paper, it is proposed a defocusing degree evaluation algorithm. This algorithm is to calculate the image gray value error E of the fitted sinusoidal image and the actual image based on image difference and Levenberg-Marquardt (LM) iteration method. Firstly, differential operation is performed on the image captured by the camera. And then, the LM iteration method is executed on the difference image. The phase fluctuation error EM is quantitatively described as E ∙ S α by image gray range S, where α is constant which can be determined experimentally. For a system with no defocusing, the measured phase fluctuation error of ± 0.05 radian, this can be reduced to ± 0.01 radian under the optimal defocus degree obtained by this method. The algorithm can handle one image within 20 ms, which meets the requirements of real-time calculation.

Paper Details

Date Published: 16 October 2019
PDF: 6 pages
Proc. SPIE 11205, Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019), 1120509 (16 October 2019); doi: 10.1117/12.2541641
Show Author Affiliations
Cong Liu, Nanjing Univ. of Science and Technology (China)
Putian Univ. (China)
Zhuoyi Yin, Nanjing Univ. of Science and Technology (China)
Xiaopeng Liu, Shandong Univ. of Science and Technology (China)
Zhihong Xu, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 11205:
Seventh International Conference on Optical and Photonic Engineering (icOPEN 2019)
Anand Asundi; Motoharu Fujigaki; Huimin Xie; Qican Zhang; Song Zhang; Jianguo Zhu; Qian Kemao, Editor(s)

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