Study of the temporal phase-shifting interferometry measurement under the Tokamak related vibration environment

2020 ◽  
Author(s):  
XIAOQIAN CUI ◽  
QIANG ZHANG ◽  
YUANBO LI ◽  
SHUHUA LI ◽  
DING WU ◽  
...  
Keyword(s):  
Phase Shifting ◽  
Phase Shifting Interferometry ◽  
Temporal Phase

Intensity-based method for selection of valid interferometric data in temporal phase shifting interferometry

2015 ◽  
Vol 54 (2) ◽  
pp. 024106 ◽  
Author(s):  
Jaime Sánchez-Paredes ◽  
Gilberto Silva-Ortigoza ◽  
Jorge Castro-Ramos
Keyword(s):  
Phase Shifting ◽  
Phase Shifting Interferometry ◽  
Temporal Phase ◽  
Selection Of

scholarly journals Highlighting properties of filters for their application in temporal phase shifting interferometry

2005 ◽  
Author(s):  
Vanessa Rosso ◽  
Fabrice Michel ◽  
Vincent Moreau ◽  
Yvon Renotte ◽  
Bernard Tilkens ◽  
...  
Keyword(s):  
Phase Shifting ◽  
Phase Shifting Interferometry ◽  
Temporal Phase

Phase-shifting interferometry with uncalibrated phase shifts

2000 ◽  
Vol 39 (4) ◽  
pp. 585 ◽  
Author(s):  
Xin Chen ◽  
Maureen Gramaglia ◽  
John A. Yeazell
Keyword(s):  
Phase Shifts ◽  
Phase Shifting ◽  
Phase Shifting Interferometry

scholarly journals An Error-Reduction Method for Temporal Phase Unwrapping Based on Double Three-Step Phase-Shifting and Least-Squares Fitting

2012 ◽  
Vol 6-7 ◽  
pp. 76-81
Author(s):  
Yong Liu ◽  
Ding Fa Huang ◽  
Yong Jiang
Keyword(s):  
Least Squares ◽  
Reduction Method ◽  
Intermediate Phase ◽  
Error Reduction ◽  
Phase Unwrapping ◽  
Phase Shifting ◽  
Surface Measurement ◽  
Acquisition Time ◽  
Least Squares Fitting ◽  
Temporal Phase

Phase-shifting interferometry on structured light projection is widely used in 3-D surface measurement. An investigation shows that least-squares fitting can significantly decrease random error by incorporating data from the intermediate phase values, but it cannot completely eliminate nonlinear error. This paper proposes an error-reduction method based on double three-step phase-shifting algorithm and least-squares fitting, and applies it on the temporal phase unwrapping algorithm using three-frequency heterodyne principle. Theoretical analyses and experiment results show that this method can greatly save data acquisition time and improve the precision.

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