Reliability-guided phase unwrapping algorithm: a review ☆

Abstract Phase unwrapping algorithm plays very important role in noncontract optical profilometry, beacuse the phase map acquired derectly is limited from π to − π , which is called wrapped phase. It must be unwrapped to retrieve the nature phase employing suitable phase unwrapping algorithm. In this paper, we review a phase unwrapping algorithm based on the reliability-guided parameter map. In this algorithm we select a parameter or group of parameters to identify the reliability of the phase data or the direction of phase unwrapping. The path of phase unwrapping is guided according to the parameter map. It means that the pixel with higher parameter value in the parameter map will be phase unwrapped earlier. The intensity modulation and the spatial frequency of the fringe pattern are usually used as important parameters characterizing the reliability. Other parameters, such as the phase difference between neighboring pixels, the signal-to-noise ratio, or some band elimination filter center around defect region assigned by user, could be selected as the optimized parameter for phase unwrapping. Sometimes we can combine two or three parameters to produce a more optimized parameter map for phase unwrapping. The advantage of this approach is that the path of phase unwrapping is always along the direction from the pixel with higher reliability value to the pixel with low reliability value. Therefore, in the worse case the error is limited, if there is any, to local minimum areas.

[1]  Xiang Peng,et al.  Surface normal guided method for two-dimensional phase unwrapping , 2002 .

[2]  Giovanni Nico,et al.  Using the matrix pencil method to solve phase unwrapping , 2003, IEEE Trans. Signal Process..

[3]  Xianyu Su,et al.  Fourier transform profilometry:: a review , 2001 .

[4]  V. Srinivasan,et al.  Automated phase-measuring profilometry of 3-D diffuse objects. , 1984, Applied optics.

[5]  X Su,et al.  Phase-unwrapping algorithm based on frequency analysis for measurement of a complex object by the phase-measuring-profilometry method. , 2001, Applied optics.

[6]  J M Huntley,et al.  Temporal phase unwrapping: application to surface profiling of discontinuous objects. , 1997, Applied optics.

[7]  Xiangjie Liu,et al.  Noise immune unwrapping based on phase statistics and self-calibration , 2002 .

[8]  T. R. Judge,et al.  A review of phase unwrapping techniques in fringe analysis , 1994 .

[9]  Anand Asundi,et al.  Improved spatial phase detection for profilometry using a TDI imager , 1998 .

[10]  K A Stetson,et al.  Noise-immune phase unwrapping by use of calculated wrap regions. , 1997, Applied optics.

[11]  M. J. Huang,et al.  (Optics and Laser Technology, 34(6):457-464)Phase unwrapping based on a parallel noise-immune algorithm , 2002 .

[12]  Y Hao,et al.  Multifrequency grating projection profilometry based on the nonlinear excess fraction method. , 1999, Applied optics.

[13]  D R Burton,et al.  Spatiotemporal phase unwrapping for the measurement of discontinuous objects in dynamic fringe-projection phase-shifting profilometry. , 1999, Applied optics.

[14]  A Asundi,et al.  Fast phase-unwrapping algorithm based on a gray-scale mask and flood fill. , 1998, Applied optics.

[15]  Anand Asundi,et al.  Phase unwrapping in photoelasticity , 1997, Experimental Mechanics.

[16]  Xianyu Su,et al.  Phase unwrapping algorithm based on phase fitting reliability in structured light projection , 2002 .

[17]  Toru Yoshizawa The Recent Trend of Moire Metrology , 1991, J. Robotics Mechatronics.

[18]  Xianyu Su,et al.  Phase unwrapping techniques for 3D shape measurement , 1996, Other Conferences.

[19]  Young-Soo Kim,et al.  Two-dimensional phase unwrapping using wavelet transform , 2002 .

[20]  Vito Pascazio,et al.  Multifrequency InSAR height reconstruction through maximum likelihood estimation of local planes parameters , 2002, IEEE Trans. Image Process..

[21]  X. Su,et al.  Phase-stepping grating profilometry: utilization of intensity modulation analysis in complex objects evaluation , 1993 .

[22]  E Bernabeu,et al.  Stable-marriages algorithm for preprocessing phase maps with discontinuity sources. , 1995, Applied optics.

[23]  Jonathan M. Huntley,et al.  Error-reduction methods for shape measurement by temporal phase unwrapping , 1997 .

[24]  R Cusack,et al.  Improved noise-immune phase-unwrapping algorithm. , 1995, Applied optics.

[25]  Anand Asundi,et al.  Phase shifting in photoelasticity , 1993 .

[26]  J. M. Huntley Noise-immune phase unwrapping algorithm. , 1989, Applied optics.

[27]  Mitsuo Takeda,et al.  Phase unwrapping by a maximum cross‐amplitude spanning tree algorithm: a comparative study , 1996 .

[28]  Anand Asundi,et al.  Mapping algorithm for 360-deg profilometry with time delayed integration imaging , 1999 .

[29]  G. von Bally,et al.  Modulation analysis of phase-shifted holographic interferograms , 1994 .

[30]  J. R. Buckland,et al.  Unwrapping noisy phase maps by use of a minimum-cost-matching algorithm. , 1995, Applied optics.

[31]  M Servin,et al.  Phase unwrapping with a regularized phase-tracking system. , 1998, Applied optics.

[32]  Mumin Song,et al.  Overview of three-dimensional shape measurement using optical methods , 2000 .

[33]  J. M. Huntley,et al.  Temporal phase-unwrapping algorithm for automated interferogram analysis. , 1993, Applied optics.

[34]  David R. Burton,et al.  Spatiotemporal phase unwrapping and its application in fringe projection fiber optic phase-shifting profilometry , 2000 .

[35]  Xianyu Su,et al.  Phase unwrapping algorithm based on fringe frequency analysis in Fourier-transform profilometry , 2001 .

[36]  M. Takeda,et al.  Fourier transform profilometry for the automatic measurement of 3-D object shapes. , 1983, Applied optics.

[37]  Jie-Lin Li,et al.  Phase unwrapping algorithm based on reliability and edge detection , 1997 .