Paper
10 October 2023 Eight-direction least-square phase unwrapping algorithm for optical three-dimensional measurement
Yantao He, Sijia Liu, Minling Pan, Rongfu Wang, Xueri Li, Rong Zhang
Author Affiliations +
Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 1279916 (2023) https://doi.org/10.1117/12.3005948
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia
Abstract
The least-square method is widely used in the fast phase unwrapping of optical three-dimensional measurement due to its high-speed and comprehensive characteristics. In order to solve the problem of measurement error propagation in the phase unwrapping algorithm based on least-square method, an improved eight-direction least-square phase unwrapping algorithm is proposed in this paper. This algorithm not only researches the gradient difference between the target phase and its eight-neighbor phases, improving measurement accuracy and reducing measurement errors. The superiority and robustness of this algorithm have been demonstrated through simulation data and measurement of industrial bearing roller end faces
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yantao He, Sijia Liu, Minling Pan, Rongfu Wang, Xueri Li, and Rong Zhang "Eight-direction least-square phase unwrapping algorithm for optical three-dimensional measurement", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 1279916 (10 October 2023); https://doi.org/10.1117/12.3005948
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KEYWORDS
Phase unwrapping

Detection and tracking algorithms

3D metrology

Phase shifts

Algorithm development

Computer simulations

Engineering

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