High-efficiency iterative phase extraction algorithm based on selective sampling

2016 ◽  
Vol 37 (1) ◽  
pp. 64-68
Author(s):  
Zhang Chen-hao ◽  
Wan Xin-jun ◽  
Yang Bo ◽  
Xie Shu-ping ◽  
Yue Lin
Photonics ◽  
2021 ◽  
Vol 8 (12) ◽  
pp. 592
Author(s):  
Songsong Zhang ◽  
Haisong Huang

Fringe projection is a non-contact optical method that is widely used in the optical precision measurement of complex stepped surfaces. However, the accuracy of the fringe phase extraction employed has a direct impact on the measurement precision of the surface shape. Where phase-shifting measurement is used, the classical equal step phase extraction algorithm can only be used to measure simple and smooth surfaces, and leads to measurement errors on complex stepped surfaces, which affects the accuracy of the phase extraction. In addition, the iterative process lasts for a long time, resulting in a low efficiency. This paper proposes a step-by-step phase-shifting extraction algorithm based on selective sampling to measure the contour of the stepped surface. Firstly, the fringe pattern is sampled at equal intervals to reduce the iterative calculation time. Finally, the accurate measurement phase is calculated by the alternating iteration method. The phase extraction accuracy and iteration times are compared in experimental measurements between classical iterative algorithms such as four-step phase-shifting algorithms and the variable phase shift phase interpolation algorithm based on selective sampling. It is shown that the variable frequency phase-shifting extraction algorithm based on selective sampling has a shorter operation time, smaller error, and higher accuracy than the traditional iterative algorithm in fringe projection measuring complex stepped surfaces.


2020 ◽  
Author(s):  
Songsong Zhang ◽  
Haisong Huang ◽  
Qiaoqiao Xiong

Abstract Variable frequency phase shift interferometry is widely applied in optical precision measurement, with the accuracy of phase extraction’s direct impact on that of phase shift interferometry. In the variable-frequency phase-shift interferometry, the commonly used phase-shifting devices are prone to phase shift errors, because the ordinary equal-step phase extraction algorithm, which can be merely used to measure simple and smooth surface, influences the accuracy of phase extraction resulting in measuring error, and causes inefficiency led by the long time the iterative process lasts for when applied in complex stepped surfaces measurement. As a sort of step-by-step phase-shifting phase extraction algorithm based on selective sampling is used to measure the step surface contour, the interference image is firstly sampled at equal intervals to reduce the iterative calculation, and in view of the fact that the phase calibration of the test system is not required in this algorithm, the measured phase is given by using the alternating iterative method despite the unknown phase and unknown phase shift amount. The phase extraction accuracy and iteration time among traditional iterative algorithm, four-step phase shift algorithm and the variable phase shift phase interpolation algorithm based on selective sampling are compared in the simulation and experiment. It is shown that the variable frequency phase shifting interference phase extraction algorithm based on selective sampling has shorter operation time, less error and higher accuracy than traditional iterative algorithm in measuring complex step surface.


2015 ◽  
Vol 54 (16) ◽  
pp. 4989 ◽  
Author(s):  
Keming Zhang ◽  
Jun Yao ◽  
Jubing Chen ◽  
Hong Miao

2003 ◽  
Vol 75 (14) ◽  
pp. 3596-3605 ◽  
Author(s):  
Yufeng Shen ◽  
Ronald J. Moore ◽  
Rui Zhao ◽  
Josip Blonder ◽  
Deanna L. Auberry ◽  
...  

2016 ◽  
Vol 36 (6) ◽  
pp. 0612003
Author(s):  
朱荣刚 Zhu Ronggang ◽  
朱日宏 Zhu Rihong ◽  
何勇 He Yong

2014 ◽  
Vol 536-537 ◽  
pp. 235-240
Author(s):  
Ying Jie Meng ◽  
Li Xin Bai ◽  
Wen Jun Liu ◽  
Ming Wen Liu

In the research of identity recognition based on lip motion features, there are limitations for the existing algorithms of lip characteristic parameters extraction. This paper uses the strategy of lip static/dynamic geometric features fusion, designs the lip feature parameter extraction program based on interpolation, and implements the major aspects of processing algorithm of the program. The solution is based on the speaker's key six primitives spelling lip sequence image, firstly generates the lip key point coordinates in the image, then based on Lagrange interpolation obtains function curve coefficient of upper and lower lips' key points , lastly the two curve coefficients are combined to form lip motion feature information of human speaker's some specific sounds; Simulation results show that the extraction of characteristic parameters of the program not only have a high efficiency and availability, but also have the advantages of good storage.


2019 ◽  
Vol 11 (6) ◽  
pp. 1-7
Author(s):  
Haoren Zou ◽  
Liyun Zhong ◽  
Jiaosheng Li ◽  
Zhenda Sun ◽  
Yicheng Liu ◽  
...  

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