Full-Frequency Phase Unwrapping Algorithm Based on Multi-Frequency Heterodyne Principle

Fei, 刘飞 Liu; Jiaxin, 李佳鑫 Li; Junlin, 赖俊霖 Lai; Chunqiao, 何春桥 He

doi:10.3788/lop56.011202

Cited by 7 publications

(3 citation statements)

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“…The result struction using the system calibration information are shown in Figure 8e the boundary of the edge can seriously affect reconstruction effects. Figure albedo of the surface of the object to be measured and the results obtain Equation (22) to calculate its edge and combining it with previous reconst for compensation (shown in Figure 8h), which show that the influence of ed significantly reduced. The root mean square error (RMSE) method (a widely as evidenced by its use in studies such as [27]) was utilized to assess the p the proposed method.…”

Section: Reconstruction Of Checkerboardmentioning

confidence: 88%

“…The main reason for the wrapping phase is that the arctangent function is employed in the phase-shifting method to solve the phase; hence, the calculated phase is wrapped in the range (−π, π]. Therefore, phase unwrapping is required to obtain the absolute phase [21,22]. This study applies an improved multi-frequency phase heterodyne method for unwrapping the phase.…”

Section: Phase Unwrappedmentioning

confidence: 99%

“…Photonics 2023, 10, x FOR PEER REVIEW 5 of 16 phase [21,22]. This study applies an improved multi-frequency phase heterodyne method for unwrapping the phase.…”

Section: Phase Unwrappedmentioning

confidence: 99%

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An Optimized Error Compensation Method for Phase Measurement Profilometry

Guo,

Xu,

Zhang

et al. 2023

Photonics

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Phase measurement profilometry (PMP) is primarily employed to analyze the morphology of a functional surface with precision. Historically, one of the most complex and persistent challenges in PMP has been reducing errors stemming from inconsistent indicators at the edges of a surface. In response to this challenge, we propose an optimized error compensation methodology specifically designed to handle edge artefacts. This methodology introduces the Hilbert transform and object surface albedo as tools to detect the edges of the artefact region that need to be compensated. Moreover, we analyze the characteristics of the sinusoidal fringe waveform propagation direction and investigate the reconstruction results of the fringe vertical to the current directions to compensate for edge artefacts. The experimental results for various objects show that the optimized approach can compensate for edge artefacts by projecting in two directions and reducing the projection by half. The compensated root mean square error (RMSE) for planar objects can be reduced by over 45%.

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Section: Reconstruction Of Checkerboardmentioning

confidence: 88%

Section: Phase Unwrappedmentioning

confidence: 99%