Fast and large-converge-radius inverse compositional Levenberg–Marquardt algorithm for digital image correlation: principle, validation, and open-source toolbox

•Inverse compositional Levenberg-Marquardt (IC-LM) algorithm is proposed.•IC-LM algorithms considering first- and second-order shape functions are derived.•Damping factor in IC-LM is initialized by normalization and correlation coefficient.•IC-LM has similar accuracy, efficiency yet better robustnes...

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Vydáno v:Optics and lasers in engineering Ročník 151; s. 106930
Hlavní autoři: Chen, Bin, Jungstedt, Erik
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.04.2022
Témata:
algorithm
Converge radius
Digital image correlation
Inverse compositional Levenberg-Marquardt
Inverse compositional Levenberg-Marquardt algorithm
Normalization
Open-source toolbox
LM
ZNSSD
IC-LM2
Open-source toolbox
RMSE
ROI
FA-NR
IC-GN2
IC-LM
Inverse compositional Levenberg-Marquardt algorithm
IC-GN
Converge radius
Normalization
Digital image correlation
ZNCC
DIC
ISSN:0143-8166, 1873-0302
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Shrnutí:•Inverse compositional Levenberg-Marquardt (IC-LM) algorithm is proposed.•IC-LM algorithms considering first- and second-order shape functions are derived.•Damping factor in IC-LM is initialized by normalization and correlation coefficient.•IC-LM has similar accuracy, efficiency yet better robustness compared with IC-GN. This paper presents an inverse compositional Levenberg-Marquardt (IC-LM) algorithm for robust, efficient, and accurate image registration in digital image correlation (DIC). In essence, the IC-LM algorithm is a mixture of the classical inverse compositional Gaussian-Newton (IC-GN) and gradient descent algorithms. Further normalization of the local coordinate and image intensity is also introduced to adaptively initialize the damping parameter in the IC-LM algorithm. The proposed IC-LM algorithm is proven to hold a larger converge radius while having comparable accuracy, precision, and efficiency compared with the classical IC-GN algorithm. The efficient reliability-guided displacement tracking strategy is also merged into the IC-LM algorithm to provide an accurate initial guess for all calculation points. For the sake of reproducibility of this algorithm, the open-source MATLAB toolbox featuring the IC-LM algorithm is available on GitHub (https://github.com/cbbuaa/DIC_ICLM_MATLAB).
ISSN:0143-8166
1873-0302
DOI:10.1016/j.optlaseng.2021.106930