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Journal ArticleDOI

Multiscale windowed Fourier transform for phase extraction of fringe patterns

Jingang Zhong, +1 more
- 10 May 2007 - 
- Vol. 46, Iss: 14, pp 2670-2675
TLDR
The numerical simulation and experiment have proved the validity of the multiscale windowed Fourier transform for phase extraction of fringe patterns and makes the extracted phase more precise than other methods.
Abstract
A multiscale windowed Fourier transform for phase extraction of fringe patterns is presented. A local stationary length of signal is used to control the window width of a windowed Fourier transform automatically, which is measured by an instantaneous frequency gradient. The instantaneous frequency of the fringe pattern is obtained by detecting the ridge of the wavelet transform. The numerical simulation and experiment have proved the validity of this method. The combination of the windowed Fourier transform and the wavelet transform makes the extracted phase more precise than other methods.

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Citations
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Journal ArticleDOI

Fringe projection techniques: Whither we are?

TL;DR: This paper presents a meta-analyses of Fourier-Transform Profilometry and its applications in 3-D Shape Measurement and Surface Profile Measurement for Structured Light Pattern and 4-Core Optical-Fiber.
Journal ArticleDOI

Review of single-shot 3D shape measurement by phase calculation-based fringe projection techniques

TL;DR: The single-shot 3D shape measurement techniques by projecting and capturing one fringe pattern image on the object surface, the wrapped phase demodulation algorithms from one captured image are reviewed.
Journal ArticleDOI

Windowed Fourier transform for fringe pattern analysis: theoretical analyses.

TL;DR: Local frequency and phase extraction errors by the WFR and WFF algorithms are analyzed and an unbiased estimation with very low standard deviation is achievable for local frequencies and phase distributions through windowed Fourier transforms.
Journal ArticleDOI

Status, challenges, and future perspectives of fringe projection profilometry

TL;DR: The current status of FPP techniques, the major challenges still facing in the field, and the perspectives on the future of F PP techniques are presented.
Journal ArticleDOI

Time-Frequency Representation Based on an Adaptive Short-Time Fourier Transform

TL;DR: A new concise algorithm about time-frequency representation (TFR) based on an adaptive short-time Fourier transform (ASTFT) is presented, which provides much better performance and is simpler and more computational efficient than some of other adaptive TFR algorithms proposed previously.
References
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Journal ArticleDOI

Localization of the complex spectrum: the S transform

TL;DR: The S transform is shown to have some desirable characteristics that are absent in the continuous wavelet transform, and provides frequency-dependent resolution while maintaining a direct relationship with the Fourier spectrum.
Journal Article

Localisation of the complex spectrum : The S transform

TL;DR: The S transform as discussed by the authors is an extension to the ideas of the Gabor transform and the Wavelet transform, based on a moving and scalable localising Gaussian window and is shown here to have characteristics that are superior to either of the transforms.
Journal ArticleDOI

Fourier transform profilometry for the automatic measurement of 3-D object shapes

Mitsuo Takeda, +1 more
- 15 Dec 1983 - 
TL;DR: A new computer-based technique for automatic 3-D shape measurement is proposed and verified by experiments that has a much higher sensitivity than the conventional moire technique and is capable of fully automatic distinction between a depression and an elevation on the object surface.
Journal ArticleDOI

Asymptotic wavelet and Gabor analysis: extraction of instantaneous frequencies

TL;DR: The behavior of the continuous wavelet and Gabor coefficients in the asymptotic limit using stationary phase approximations are investigated and it is shown how, under some additional assumptions, these coefficients allow the extraction of some characteristics of the analyzed signal, such as frequency and amplitude modulation laws.
Journal ArticleDOI

Windowed Fourier transform for fringe pattern analysis

TL;DR: Two approaches are developed on the extraction of phase and phase derivatives from either phase-shifted fringe patterns or a single carrier fringe pattern based on the best match between the fringe pattern and computer-generated windowed exponential elements.
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