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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
Published on: December 3, 2013
Application of S-transform profilometry in eliminating nonlinearity in fringe pattern
Min Zhong1, Wenjing Chen, Mohua Jiang
1Opto-Electronics Department, Sichuan University, Chengdu, China.
Applied Optics
|February 15, 2012
Summary
The S-transform filtering method effectively demodulates nonlinear fringe patterns in 3D optical measurements. This advanced technique improves phase error correction compared to other methods.
Area of Science:
- Optical metrology
- Signal processing
- 3D shape measurement
Background:
- The S-transform offers a powerful time-frequency analysis, extending short-time Fourier and wavelet transforms.
- Its application in optical 3D shape measurement using fringe projection is a recent development.
- Nonlinearity in fringe patterns poses challenges for accurate phase demodulation.
Purpose of the Study:
- To investigate the application of the S-transform for demodulating nonlinear fringe patterns.
- To develop and evaluate S-transform-based methods for eliminating phase errors in 3D measurements.
Main Methods:
- Introduced two S-transform-based methods: S-transform ridge method and S-transform filtering method.
- Theoretically detailed the application of these methods in fringe analysis.
- Validated methods through computer simulations and experimental verification.
Main Results:
- Both S-transform methods were employed to mitigate phase errors from projector and CCD nonlinearities.
- The S-transform filtering method demonstrated superior performance in reconstructing fringe patterns affected by nonlinearity.
- Results were compared against windowed Fourier transform, wavelet transform, and the S-transform ridge method.
Conclusions:
- The S-transform filtering method provides enhanced accuracy for 3D shape measurement with nonlinear fringe patterns.
- This study confirms the efficacy of S-transform techniques in addressing phase errors in optical metrology.
- The S-transform filtering method offers a significant improvement over existing reconstruction techniques under nonlinear conditions.

