Research on High-precision Deformation Measurement Based on Improved IC-GN Algorithm in Digital Image Correlation Methods

doi:10.7517/issn.1674-0475.230804

Abstract

Abstract: In the measurement of object deformation using digital image correlation methods, the FA-NR algorithm achieves high-precision measurement, while the IC-GN algorithm improves measurement efficiency on this basis. To further improve measurement accuracy, an improved algorithm based on IC-GN (GIC-GN) was proposed. By using the gradient method to obtain a more accurate sub pixel displacement at the known initial position of the entire pixel, the error generated in the Hessian matrix calculation process is reduced, and the convergence speed of the iteration is accelerated, effectively improving measurement accuracy and efficiency. The simulation experiment verification results show that the error of GIC-GN algorithm can be stable between 10^-4-10^-3 pixel, and the accuracy of IC-GN algorithm is improved by 10%-60% compared to FA-NR algorithm. The time consumption is 0.1 times that of FA-NR algorithm and 0.8 times that of IC-GN algorithm, which can achieve high-precision and efficient measurement of object deformation information.

Key words: digital image correlation, IC-GN algorithm, Hessian matrix, high precision, high efficiency

SUN Zegang, ZHANG Kui, JIANG Qiang, LI Junhua. Research on High-precision Deformation Measurement Based on Improved IC-GN Algorithm in Digital Image Correlation Methods[J]. IMAGING SCIENCE AND PHOTOCHEMISTRY, 2024, 42(1): 9-15.

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