The extended digital image correlation based on intensity change model

被引：6

作者：

Qian, Boxing ^{[1
]}

Shao, Wei ^{[1
]}

Gao, Ruipeng ^{[1
]}

Zheng, Weikang ^{[1
]}

Hua, Dengxin ^{[1
]}

Li, Hequn ^{[1
]}

机构：

[1] Xian Univ Technol, Sch Mech & Precis Instrument Engn, Xian 710048, Peoples R China

来源：

MEASUREMENT | 2023年 / 221卷

基金：

中国国家自然科学基金;

关键词：

Digital image correlation; Intensity model; Linear least squares estimation; Subpixel matching; Cyclic variable method;

D O I：

10.1016/j.measurement.2023.113416

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Digital image correlation is used to measure deformation and shape. In some complex scenes, the illumination of the measured surface may vary unevenly before and after deformation. The intensity change model is added to correlation function and a family of speckle image matching algorithms is obtained. In integer pixel matching, linear least square estimation is used to calculate the initial values of the intensity coefficients and integer pixel position; in subpixel matching, cyclic variable method is proposed to make the iteration converge. Compared with the current mainstream algorithm, the proposed method makes the physical meaning of correlation matching clearer, so that the correlation function can be defined according to the actual lighting environment, and correlation matching can be more accurate. The experimental results indicate that the proposed matching algorithm is suitable for applications where ambient light is constantly changing.

引用

页数：15

共 30 条

[1] Stereo Digital Image Correlation in MATLAB [J].

Atkinson, Devan ;

Becker, Thorsten Hermann .

APPLIED SCIENCES-BASEL, 2021, 11 (11)

[2] Fast and large-converge-radius inverse compositional Levenberg-Marquardt algorithm for digital image correlation: principle, validation, and open-source toolbox [J].

Chen, Bin ;

Jungstedt, Erik .

OPTICS AND LASERS IN ENGINEERING, 2022, 151

[3] Homography-based measurement of bridge vibration using UAV and DIC method [J].

Chen, Gongfa ;

Liang, Qiang ;

Zhong, Wentao ;

Gao, Xingjun ;

Cui, Fangsen .

MEASUREMENT, 2021, 170

[4] Deformation measurement in Al thin films at elevated temperatures by digital image correlation with speckles prepared by femtosecond laser [J].

Chen, Zhiwen ;

Xu, Guoliang ;

Cao, Qiang ;

Ruan, Meng ;

Liu, Sheng ;

Pan, Huiming ;

Liu, Li .

OPTICS AND LASER TECHNOLOGY, 2022, 155

[5] Accelerating parallel digital image correlation computation with feature mesh interpolation [J].

Chi, Yuxi ;

Pan, Bing .

MEASUREMENT, 2022, 199

[6] Pressure-sensitive paint integrated with digital image correlation for instantaneous measurement on rotating blades [J].

Dong, Zhe ;

Li, Yongzeng ;

Jiao, Lingrui ;

Zhang, Weiguo ;

Liu, Yingzheng ;

Peng, Di .

AEROSPACE SCIENCE AND TECHNOLOGY, 2022, 126

[7] Digital image correlation based on convolutional neural networks [J].

Duan, Xiaocen ;

Xu, Hongwei ;

Dong, Runfeng ;

Lin, Feng ;

Huang, Jianyong .

OPTICS AND LASERS IN ENGINEERING, 2023, 160

[8] Accurate and dynamic 3D shape measurement with digital image correlation-assisted phase shifting [J].

Hu, Pengyu ;

Yang, Shuming ;

Zheng, Fenghe ;

Yuan, Ye ;

Wang, Teng ;

Li, Shusheng ;

Liu, Haibao ;

Dear, John P. .

MEASUREMENT SCIENCE AND TECHNOLOGY, 2021, 32 (07)

[9] Review of digital image correlation application to large-scale composite structure testing [J].

Janeliukstis, Rims ;

Chen, Xiao .

COMPOSITE STRUCTURES, 2021, 271

[10] Super-robust digital image correlation based on learning template [J].

Lianpo, Wang .

OPTICS AND LASERS IN ENGINEERING, 2022, 158

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