Assessment method of speckle pattern quality in digital image correlation

YU Hai; LIU Yunpeng; GUO Rongxin; XIA Haiting; YAN Feng

doi:10.7510/jgjs.issn.1001-3806.2020.02.018

LASER TECHNOLOGY > 2020 > 44(2): 237-243. > DOI: 10.7510/jgjs.issn.1001-3806.2020.02.018

YU Hai, LIU Yunpeng, GUO Rongxin, XIA Haiting, YAN Feng. Assessment method of speckle pattern quality in digital image correlation[J]. LASER TECHNOLOGY, 2020, 44(2): 237-243. DOI: 10.7510/jgjs.issn.1001-3806.2020.02.018

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Assessment method of speckle pattern quality in digital image correlation

1.
School of Civil Engineering, North Minzu University, Yinchuan 750021, China
2.
Department of Engineering Mechanics, Kunming University of Science and Technology, Kunming 650093, China

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Received Date: May 05, 2019
Revised Date: June 17, 2019
Published Date: March 24, 2020

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Abstract

Abstract

In order to study the effective evaluation of speckle image quality in digital image correlation method, the quality of speckle pattern was effectively evaluated by means of the second derivative of average gray level of quality characterization parameter of speckle pattern. By analyzing the relationship between image interpolation error and the distribution of image gray information, the relationship between the second derivative of average gray level of speckle pattern and the distribution form of gray level information of speckle pattern was pointed out. In order to verify the validity of the quality characterization parameters of the speckle pattern, Fourier transform was used to translate the speckle pattern. The sub-pixel displacement of speckle pattern before and after translation was calculated by Newton-Raphson method. According to the displacement calculation results, speckle pattern with low average gray second derivative corresponded to small displacement measurement error. The results show that, the second derivative of average gray level is effective in the quality evaluation of speckle pattern. In practical application, the quality of speckle pattern should be evaluated comprehensively and effectively by combining the second derivative of average gray level and average gray gradient of speckle pattern. This study provides a reference for the preparation and selection of high quality speckle patterns.
- measurement and metrology,
- digital image correlation,
- interpolation error,
- speckle pattern quality

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