Effect of average speckle size on speckle interference fringe pattern

Lixia Yu; Xiaohui Huang; Ji Liu

doi:10.1117/12.2556071

13 November 2019 Effect of average speckle size on speckle interference fringe pattern

Lixia Yu, Xiaohui Huang, Ji Liu

Proceedings Volume 11343, Ninth International Symposium on Precision Mechanical Measurements; 113432A (2019) https://doi.org/10.1117/12.2556071
Event: International Symposium on Precision Mechanical Measurements 2019, 2019, Chongqing, China

Abstract

In speckle metrology, speckle fringe pattern includes phase information, in order to get the contains less noise in the dynamic measurement of the original speckle fringe pattern, allowing for more efficient to extract phase information,A new method is proposed to improve the quality of the original speckle pattern by changing the average speckle size on the digital shear speckle. The quantitative relationship between the optical path system parameters F number and magnification factor and the speckle size on the image surface was analyzed, and the digital shear speckle interferometry experiment based on the space carrier phase shift technology changed F number and magnification factor respectively for verification.Experimental results show that the shape of variables for fixed value, system magnification is 1, the imaging lens F value is 4.5, The average speckle size was 5.841 μm, and the image was best when it was closest to 5.86 μm, as a lens F number is 2, system magnification of 3.5, The average speckle size was 5.841 μm, and the image was best when it was closest to 5.86 μm, after filtering is cosine algorithm, the speckle fringe pattern is the most clear.It is proved that when the speckle size on the image plane is closest to the size of pixel, the quality of the speckle stripe is the best.

Citation Download Citation

Lixia Yu, Xiaohui Huang, and Ji Liu "Effect of average speckle size on speckle interference fringe pattern", Proc. SPIE 11343, Ninth International Symposium on Precision Mechanical Measurements, 113432A (13 November 2019); https://doi.org/10.1117/12.2556071

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KEYWORDS

Speckle

Imaging systems

Fringe analysis

Image filtering

Optical filters

Speckle imaging

Digital image processing

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