1988
DOI: 10.1117/12.7976778
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Effects Of Subpixel Image Restoration On Digital Correlation Error Estimates

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Cited by 215 publications
(133 citation statements)
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“…Due to digitization of the captured images, assumption of the subset's deformed shape and the systematic errors from the experimental set-up, various potential errors occur in the DIC technique. In 1988, Sutton et al [49] performed the first modelling works to identify the factors which influence the accuracy of DIC technique. In their work, a selected subset was deformed by known values and the model was examined numerically.…”
Section: Accuracy Analysis Of Two-dimensional Digital Image Correlationmentioning
confidence: 99%
“…Due to digitization of the captured images, assumption of the subset's deformed shape and the systematic errors from the experimental set-up, various potential errors occur in the DIC technique. In 1988, Sutton et al [49] performed the first modelling works to identify the factors which influence the accuracy of DIC technique. In their work, a selected subset was deformed by known values and the model was examined numerically.…”
Section: Accuracy Analysis Of Two-dimensional Digital Image Correlationmentioning
confidence: 99%
“…Digital image correlation (DIC) is a full-field optical technique which provides spatially continuous measurement of displacements across the surface of the specimen. DIC relies on correlation of the random pattern of speckles between images of the deformed and reference (undeformed) configurations of the specimen within small neighborhoods called subsets [27][28]. A sprayed-on speckle pattern was created on the surface of the beam without the shear stirrups.…”
Section: Experimental Programmentioning
confidence: 99%
“…A two-dimensional displacement field was obtained for all points on the surface from cross-correlating the image of the deformed specimen with the image of the specimen in the reference configuration. Correlations and pattern identification is performed within small neighborhoods called subsets (Sutton et al 1983(Sutton et al , 1988Pan et al 2009). In a given image, the pixel gray-levels in each subset associated with the random sprayed-on pattern gives a unique gray-level pattern, which differs from gray-level distribution in another subset.…”
Section: Digital Image Correlationmentioning
confidence: 99%