散斑干涉相位条纹图的频域滤波处理

王永红; 李骏睿; 孙建飞; 刘佩; 杨连祥

doi:10.3788/CO.20140703.0389

Volume 7 Issue 3

Jun. 2014

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Article Contents

Chinese Optics > 2014 > 7(3): 389-395.

WANG Yong-hong, LI Jun-rui, Sun Jian-fei, LIU Pei, YANG Lian-xiang. Frequency domain filtering for phase fringe patterns of digital speckle pattern interferometry[J]. Chinese Optics, 2014, 7(3): 389-395. doi: 10.3788/CO.20140703.0389

Citation:

WANG Yong-hong, LI Jun-rui, Sun Jian-fei, LIU Pei, YANG Lian-xiang. Frequency domain filtering for phase fringe patterns of digital speckle pattern interferometry[J]. Chinese Optics, 2014, 7(3): 389-395. doi: 10.3788/CO.20140703.0389

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Frequency domain filtering for phase fringe patterns of digital speckle pattern interferometry

doi: 10.3788/CO.20140703.0389

1.
School of Instrument Science and Opto-electronic Engineering, Hefei University of Technology, Hefei 230009, China;
2.
Department of Mechanical Engineering, Oakland University, Rochester 48309, USA

Received Date: 13 Dec 2013
Rev Recd Date: 18 Feb 2014
Publish Date: 25 May 2014

Abstract

Abstract

In order to solve the problem of serious influence of much noise in the phase fringe patterns of digital speckle pattern interferometry on the result and accuracy of phase unwrapping, an effective method of stripe sine/cosine decomposition combined with frequency domain low-pass filtering is introduced in this paper, and the high precision filter of phase fringe patterns of digital speckle pattern interferometry is realized. Basic idea of this method is that phase fringe patterns is mapped into two patterns by the sine/cosine function before the phase image filter processing, and then is synthesized into phase fringe patterns through frequency domain filter. This decomposition frequency domain filtering method can retention phase jump information effectively when filtering. Experimental results show that compared with the traditional image noise reduction method, this method can filter out the speckle noise in images better on the basis of reserving rush image information, and it is simple and effective, which solves the problem of loss from 10% to 40% for phase fringe patterns gray level information when traditional filtering methods are used in stripe phase fringe patterns.
- interference measure,
- digital speckle pattern interferometry,
- phase map,
- frequency domain filtering,
- noise

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References

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