28 February 2017 Fourier transform profilometry based on mean envelope extraction
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Proceedings Volume 10256, Second International Conference on Photonics and Optical Engineering; 1025639 (2017) https://doi.org/10.1117/12.2257801
Event: Second International Conference on Photonics and Optical Engineering, 2016, Xi'an, China
Abstract
Based on an image pre-processing algorithm, a three-dimensional (3D) object measurement method is proposed by combining time domain and frequency domain analysis. Firstly, extreme points of sinusoidal fringes under the disturbance of noise are accurately extracted. Secondly, mean envelope of the fringe is obtained through appropriate interpolation method and then removed. Thirdly, phase information is extracted by using specific filtering in Fourier spectrum of the pre-processed fringe pattern. Finally, simulated and experimental results show a good property of the proposed method in accuracy and measurement range. The proposed method can achieve 3D shape of objects having large slopes and/or discontinuous surfaces from one-shot acquisition by using color fringe projection technique and will have wide applications in the fields of fast measurement.
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Xiaoxuan Zhang, Xiaoxuan Zhang, Shujun Huang, Shujun Huang, Nan Gao, Nan Gao, Zonghua Zhang, Zonghua Zhang, } "Fourier transform profilometry based on mean envelope extraction", Proc. SPIE 10256, Second International Conference on Photonics and Optical Engineering, 1025639 (28 February 2017); doi: 10.1117/12.2257801; https://doi.org/10.1117/12.2257801
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