Digital Image Correlation Measurement Based on Distance Constrained D‑ORB Initial Value Estimation

WANG Wen; MIAO Yu; ZHANG Fang; LV Mingzhi

doi:10.3969/j.issn.1000-1158.2025.11.11

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Acta Metrologica Sinica ›› 2025, Vol. 46 ›› Issue (11) : 1631-1639. DOI: 10.3969/j.issn.1000-1158.2025.11.11

Digital Image Correlation Measurement Based on Distance Constrained D‑ORB Initial Value Estimation

WANG Wen ¹^,³ ,
MIAO Yu ²^,³ ,
ZHANG Fang ¹^,³ ,
LV Mingzhi ²^,³

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Abstract

The computational efficiency and solution accuracy of digital image correlation method are greatly affected by the search initial value. A distance constrained D-ORB based initial value estimation method is proposed and applied in digital image correlation measurement. Firstly， the D-ORB algorithm is proposed to extract feature points， and the BRIEF descriptor is improved to describe the features. Then， a distance constrained grid motion statistical algorithm is used to screen matching point pairs to ensure their accuracy and reliability. Next， based on the filtered matching point pairs， the initial values are obtained using affine transformation. Finally， the inverse combination Gaussian Newton method is used to iteratively solve for accurate displacement and deformation information. Based on this method， digital image correlation technology is used to measure the deformation during translation， stretching， and rotation. In the experiment， the measurement error of translation deformation is less than 0.003 px， the measurement error of rotation deformation is less than 0.05 °， and the measurement error of stretching deformation is less than 1%.

Key words

optical metrology / digital image correlation / initial value estimation / feature matching / distance relation constraints / inverse combinatorial Gaussian Newton method

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WANG Wen , MIAO Yu , ZHANG Fang , et al. Digital Image Correlation Measurement Based on Distance Constrained D‑ORB Initial Value Estimation[J]. Acta Metrologica Sinica. 2025, 46(11): 1631-1639 https://doi.org/10.3969/j.issn.1000-1158.2025.11.11

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