Abstract (EN):
The present work describes an approach to digital image correlation (DIC) which is based on calculations performed on the image Fourier domain. The developed method uses the cross-correlation peak of image subsets computed through the discrete Fourier transform (DFT) to arrive at an estimation of the rigid translation between them, thus enabling the detection of three-dimensional shapes from stereo image pairs and the computation of their displacements between images captured at different loading conditions. The method is expected to offer possible advantages in terms of robustness to lighting conditions, displacement estimation precision, and computational speed. In order to verify that this method can reproduce results from conventional DIC, images of a quasi-static tensile test of a round specimen are used to compare the values obtained from the DFT based method with the results from commercial software using the traditional intensity field based approach to DIC. (C) 2017 The Authors. Published by Elsevier B.V.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
7