Research on phase unwrapping of cyclic complementary gray code based on gradient correction

Fuchun Liu; Pengbo Zhao

doi:10.1117/12.3039131

13 September 2024 Research on phase unwrapping of cyclic complementary gray code based on gradient correction

Fuchun Liu, Pengbo Zhao

Proceedings Volume 13254, Fourth International Conference on Optics and Image Processing (ICOIP 2024); 132540U (2024) https://doi.org/10.1117/12.3039131
Event: Fourth International Conference on Optics and Image Processing (ICOIP 2024), 2024, Chongqing, China

Abstract

In the field of non-contact 3D reconstruction, structured light 3D reconstruction combining phase-shifting and Gray code is a high-precision reconstruction method. To address the problem of phase jumps easily occurring during phase unwrapping with traditional Gray codes, this paper proposes a cyclic complementary Gray code phase unwrapping algorithm based on gradient correction. Firstly, the wrapped phase image is converted based on the cyclic complementary Gray code to obtain the absolute phase image. For fixed-value phase jumps caused by blurred fringe order edges, phase jump points and their directions are determined through the second-order gradient of absolute phase, followed by phase correction to obtain smooth and continuous absolute phases. In the reconstructed 3D point cloud of the gypsum sculpture, the number of discrete points decreased by 96%. The experimental results indicate that the algorithm effectively discriminates phase jump points and corrects phase jumps without relying on pre-calibrated threshold values.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fuchun Liu and Pengbo Zhao "Research on phase unwrapping of cyclic complementary gray code based on gradient correction", Proc. SPIE 13254, Fourth International Conference on Optics and Image Processing (ICOIP 2024), 132540U (13 September 2024); https://doi.org/10.1117/12.3039131

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KEYWORDS

Phase unwrapping

Image compression

3D modeling

Phase shifts

Structured light

Image processing

Point clouds

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