Paper
22 June 2013 Digital image correlation using energy minimization in full-field displacement and strain measurement
Xing Huo, Teng Cheng, Jieqing Tan, Yue Gao, Yulong Cai
Author Affiliations +
Proceedings Volume 8769, International Conference on Optics in Precision Engineering and Nanotechnology (icOPEN2013); 87690R (2013) https://doi.org/10.1117/12.2019069
Event: International Conference on Optics in Precision Engineering and Nanotechnology (icOPEN2013), 2013, Singapore, Singapore
Abstract
Digital image correlation (DIC) method is an effective way for full-field strain measurement. Optical flow estimation methods combined with a global searching strategy for displacement field measurement are introduced in this paper. Compared with the conventional DIC method, this strategy can lessen possible mismatching between the reference image and warped image. By minimization the energy function of displacement field, displacement continuity and displacement gradients continuity among calculation points are achieved. For detecting large displacements, a coarse-tofine strategy is also employed. More importantly, the architecture parallelization of optical flow estimation and searching strategy can decrease the running time of this method for time-critical conditions. This proposed method is universally applicable to the images with shadows, rotation, and large deformation. Several pairs of simulated digital speckle images were used to evaluate the performance of this novel DIC method, and the experimental results clearly demonstrate its robustness and effectiveness.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xing Huo, Teng Cheng, Jieqing Tan, Yue Gao, and Yulong Cai "Digital image correlation using energy minimization in full-field displacement and strain measurement", Proc. SPIE 8769, International Conference on Optics in Precision Engineering and Nanotechnology (icOPEN2013), 87690R (22 June 2013); https://doi.org/10.1117/12.2019069
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KEYWORDS
Digital image correlation

Optical flow

Algorithm development

Speckle

Digital imaging

Parallel computing

Correlation function

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