Hierarchical quality-guided phase unwrapping algorithm

Zhong, Heping; Tang, Jinsong; Tian, Zhen; Wu, Haoran

doi:10.1364/ao.58.005273

Cited by 11 publications

(2 citation statements)

References 13 publications

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“…But, projecting more auxiliary patterns limits the measurement speed, and the fringe order map needs to be corrected because of errors caused by system noise and defocusing 17 . Differently, SPUAs achieve phase unwrapping without any additional auxiliary pattern and generally utilize the reliability sort between the current phase and its neighborhood phases to decide the unwrapped phase such as diamond-type, 18 branch-cut, 19 least-squares, 20 regional growth 21 and quality-guided 22 , 23 phase unwrapping algorithm (QG-SPUA). However, the reliability sorting of the above SPUAs suffers from needing a little more computing time to reduce phase unwrapping speed, and the residual error in the region with low quality may still be propagated along the unwrapping route to some extent.…”

Section: Introductionmentioning

confidence: 99%

Spatial phase unwrapping algorithm based on multi-anchors bidirectional location and suppression

Zhang,

Cao,

et al. 2024

Opt. Eng.

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A spatial phase unwrapping algorithm based on multi-anchors bidirectional location and suppression (SPUA-MBLS) is proposed. Spatial phase unwrapping algorithms (SPUAs) can play an important role in three-dimensional (3-D) measurement due to their phase unwrapping without any additional auxiliary pattern. SPUAs based on line scanning can achieve much faster phase unwrapping line-by-line than the traditional SPUA based on reliability sort, such as the quality-guided SPUA. But they are prone to suffer from residual error propagation caused by noise. The proposed algorithm first binarizes the wrapped phase to generate a crude fringe order map with multi-anchors and then cross-validates this map forward-backward to locate and suppress those multi-anchors as much as possible. Thus, a more perfect fringe order map can be segmented to achieve spatial phase unwrapping with a more effective improvement of residual error propagation. The experimental results show the feasibility and validity of the proposed algorithm. The proposed algorithm is proved to have higher measurement accuracy, and it has also shown higher robustness in anti-noise performance while inheriting the high-speed phase unwrapping feature.

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Section: Introductionmentioning

confidence: 99%

Spatial phase unwrapping algorithm based on multi-anchors bidirectional location and suppression

Zhang,

Cao,

et al. 2024

Opt. Eng.

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“…A quality measure based on the residue concept in qualityguided algorithms has been proposed 14 . Furthermore, a hierarchical quality-guided phase unwrapping algorithm layered in a shared memory environment is proposed, which improves the phase unwrapping efficiency 15 .…”

Section: Introductionmentioning

confidence: 99%

Quality-guided mask cut method for phase unwrapping

Dong

Chen

et al. 2023

International Conference on Precision Instruments and Optical Engineering (PIOE 2022)

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The phase unwrapping method is the important step of phase retrieval in fringe projection profilometry. Although the mask cut (MC) algorithm has been successfully applied in multiple fields, it also has inherent flaws. In order to overcome the shortcomings of MC algorithm, and synthesize the advantages of MC and quality-guided (QG) algorithm, a quality-guided mask-cutting (QG - MC) algorithm for phase unwrapping is proposed. The basic idea of QG - MC algorithm is to reduce the effects of noise on phase unwrapping at first., Then, the process of phase unwrapping is guided by the phase quality map from the point with the highest quality value to the point around that point. Take the point with the highest quality as the seed point, put its adjacent points into the queue, sort by quality value, and the new highest quality point is used as a seed point. Repeats the process until the queue is empty and the unwrapped phase will be obtained. To verify the feasibility and reliability of QG - MC algorithm, computer simulations and real experiments are carried out. The results show that the algorithm improves the efficiency of phase unwrapping.

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Phase Unwrapping

2022

Artificial Intelligence in Digital Holographic Imaging

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Hierarchical quality-guided phase unwrapping algorithm

Cited by 11 publications

References 13 publications

Spatial phase unwrapping algorithm based on multi-anchors bidirectional location and suppression

Spatial phase unwrapping algorithm based on multi-anchors bidirectional location and suppression

Quality-guided mask cut method for phase unwrapping

Phase Unwrapping

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