2006
DOI: 10.1016/j.measurement.2006.03.008
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A novel coarse-fine search scheme for digital image correlation method

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Cited by 110 publications
(46 citation statements)
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“…Different applications were found and various processing methods were developed aimed at increasing resolution (e.g. Peters et al 1983;Bruck et al 1989;Chen et al 1993;Vendroux and Knauss 1998;Pitter et al 2001;Schreier and Sutton 2002;Wang and Kang 2002;Ma and Guanchang 2003;Pilch et al 2004;Zhang et al 2006;Pan and Li 2011;Rechenmacher et al 2011;Hassan et al 2017). Currently the error in displacement measurements can be as small as 0.01 pixel size.…”
Section: Digital Image Correlationmentioning
confidence: 99%
“…Different applications were found and various processing methods were developed aimed at increasing resolution (e.g. Peters et al 1983;Bruck et al 1989;Chen et al 1993;Vendroux and Knauss 1998;Pitter et al 2001;Schreier and Sutton 2002;Wang and Kang 2002;Ma and Guanchang 2003;Pilch et al 2004;Zhang et al 2006;Pan and Li 2011;Rechenmacher et al 2011;Hassan et al 2017). Currently the error in displacement measurements can be as small as 0.01 pixel size.…”
Section: Digital Image Correlationmentioning
confidence: 99%
“…Although the proposed algorithm has reduced the determination time of the local deformation, its accuracy is decreased since it does not consider distortion of the deformed subset. In 2006, Zhang et al [30] proposed a novel coarse-fine searching scheme which reduced the computational complexity by as much as 3 percent in comparison with the conventional coarsefine searching scheme. In their work, an affine transform was used to manually determine the approximate location of each pixel in the reference and the deformed images.…”
Section: Improvement Of 2d-dic Algorithms Regarding Their Computationmentioning
confidence: 99%
“…The matching procedure is commonly considered as one of the most important parts in stereo vision method, can be performed using the subset-based matching technology which is adopted in the 2D-DIC method [5,6]. The principal concept of the 2D-DIC is to match the same object points with subsets between two images before and after load.…”
Section: D Matching Based On Dicmentioning
confidence: 99%