High-efficiency and high-accuracy digital image correlation for three-dimensional measurement

Gao, Yue; Cheng, Teng; Su, Yong; Xu, Xiaoyu; Yong, Zhang; Zhang, Qingchuan

doi:10.1016/j.optlaseng.2014.05.013

Cited by 231 publications

(75 citation statements)

References 23 publications

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“…The correlations for the same species images with different illuminations are similar for the both techniques. However, the Hermite correlation produces smaller correlation values ( 3 …”

Section: Simulations Analyses and Comparison Of The Resultsmentioning

confidence: 99%

“…Their specific forms vary from a classic filter [1] to multiple filters suggested in contemporary optics. In particular, image correlation analysis has been successfully used in engineering [2][3][4], identification of marine species [5][6][7][8][9], inclusion bodies [10], carcinogenic spots on the skin [11], etc.…”

Section: Introductionmentioning

confidence: 99%

“…15). In case of the same filter with the Hermite correlation, all the species can be easier identified because the correlation values for the other species are smaller ( 3 …”

mentioning

confidence: 99%

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Identification of phytoplankton species using Hermite transform

Castro-Valdez¹,

Álvarez-Borrego²

2018

Ukr. J. Phys. Opt.

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Abstract. We apply a Hermite transform joint with a classical correlation analysis to successfully recognize phytoplankton species even in such complicated cases when the relevant images reveal the patterns of inhomogeneous illumination and natural distortions. The images of phytoplankton species are divided into two groups consisting of 30 samples each. Those belonging to the first group are the images with neither inhomogeneous illumination nor noise, while the second one embraces the images with the background noise, inhomogeneous illumination and real distortions. We find the optimal Hermite-transform order to be used in finding correlations among the images. It is given by a so-called 'peak correlation energy' metric. Using the images modified by the Hermite transform with a classical Vander-Lugt filter, we are able to distinguish all the phytoplankton species in the test images. A classical composite filter is also applied to the two groups of images. For the first group, the composite filter is created using different patterns of illumination of the same species. In the second group, this filter is composed using various specimens of the same species in order to identify a specific species. In the both cases, the Hermite transform joined with the classical correlation analysis can distinguish all the phytoplankton species.

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“…The correlations for the same species images with different illuminations are similar for the both techniques. However, the Hermite correlation produces smaller correlation values ( 3 …”

Section: Simulations Analyses and Comparison Of The Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Identification of phytoplankton species using Hermite transform

Castro-Valdez¹,

Álvarez-Borrego²

2018

Ukr. J. Phys. Opt.

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“…The three-dimensional DIC (3D-DIC) method is applied in the present study for surface strain mapping; this non-contact method is used to measure the full-field space coordinate, displacement, and strain distributions in a material. This method is precise, accurate, does not require special quakeproof equipment, and is therefore widely used in material testing [28,29]. 3D-DIC is adept at measuring strain localization.…”

Section: Methodsmentioning

confidence: 99%

The Influence of Specimen Thickness on the Lüders Effect of a 5456 Al-Based Alloy: Experimental Observations

Cai

Yang

et al. 2016

Metals

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Abstract:For the first time ever, a thickness dependence of the Lüders effect in an Al-based alloy is demonstrated. A three-dimensional digital image correlation method was used to gain insight into the Lüders band velocity and the Lüders strain. The results revealed that both the strain and velocity depend on the specimen thickness. The strain increases, whereas the velocity decreases, with decreasing specimen thickness. Moreover, the plot of the strain vs. the velocity concurs with the global deformation compatibility.

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“…This method is the best option for twoand three-dimensional curved surface non-contact measurements in engineering because it has advantages such as simple experimental setup, minimal requirements in measurement environments, a wide range of measurements, and high accuracy [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Effects of Various Shape Functions and Subset Size in Local Deformation Measurements Using DIC

Cai

et al. 2015

Exp Mech

Self Cite

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The digital image correlation (DIC) method obtains comparable results with strain gauges and its reliability and accuracy are commonly accepted in the measurement of affine deformations. However, in engineering measurements, there are always substantial local deformations with high strain gradients, such as the Portevin-Le Chatelier (PLC) shear bands, deformations near gaps, and crack tips. In these situations, strain gauges are restricted because the results within the contact areas are smoothed. Although the DIC method can be employed to measure these local deformations, the calculation parameters (e.g., the order of the shape functions, and template size) seriously impact the results. By analyzing PLC shear bands with different gradients in tensile tests and simulated bands, the deep mechanism on how shape functions and templates impact on the accuracy of DIC results is established. This study also demonstrates that second-order shape functions are more suitable than first-order shape functions to describe local deformations. The theory that the results of second-order shape functions are reliable and accurate when the relative error between first-and secondorder shape functions is less than 10 %, is proposed. In addition, improving the spatial resolution and the acquisition frequency is proposed, and proved to achieve reliable results.

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High-efficiency and high-accuracy digital image correlation for three-dimensional measurement

Cited by 231 publications

References 23 publications

Identification of phytoplankton species using Hermite transform

Identification of phytoplankton species using Hermite transform

The Influence of Specimen Thickness on the Lüders Effect of a 5456 Al-Based Alloy: Experimental Observations

Effects of Various Shape Functions and Subset Size in Local Deformation Measurements Using DIC

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