Unwrapping algorithm based on segmentation and zooming for undersampled wrapped phase

XU Tianjie; QIAN Xiaofan; DAI Xinran; LI Bin

doi:10.7510/jgjs.issn.1001-3806.2014.01.009

In order to obtain phase information, many unfavorable factors such as noise, breakpoint and under sampling must be overcome. Aimed at too low sampling frequency and high fringe density, the root cause of the undersampling problem, unwrapping algorithm based on segmentation and zooming principle was introduced. After enlarging interference fringe whose density is too high by interpolation method, the phase was unwrapped. The simulation and experimental results show the feasibility of the proposed algorithm. It turns out that it is an effective unwrapping algorithm for undersampled wrapped phase.

Unwrapping algorithm based on segmentation and zooming for undersampled wrapped phase

Corresponding author: QIAN Xiaofan, qianxiaofan1@sina.com;

1. Institute of Lasers, Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China

Received Date: 2013-04-16

Accepted Date: 2013-05-16

Available Online: 2014-01-25

Abstract: In order to obtain phase information, many unfavorable factors such as noise, breakpoint and under sampling must be overcome. Aimed at too low sampling frequency and high fringe density, the root cause of the undersampling problem, unwrapping algorithm based on segmentation and zooming principle was introduced. After enlarging interference fringe whose density is too high by interpolation method, the phase was unwrapped. The simulation and experimental results show the feasibility of the proposed algorithm. It turns out that it is an effective unwrapping algorithm for undersampled wrapped phase.

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Reference (10)

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Unwrapping algorithm based on segmentation and zooming for undersampled wrapped phase

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