jknotbohm / FIDIC

Fast Iterative Digital Image Correlation Algorithm

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FIDIC DOCUMENTATION

Notes on This Version

This version of FIDIC has been updated by Jacob Notbohm, University of Wisconsin-Madison, 2020

The code has been modified to add user control over the desired subset (window) size and spacing. Additionally, the code outputs the x and y gridpoints specifying the centers of each subset. Lastly, the script run_FIDIC.m has been added to load (multipage) tif files.

Usage Notes

You will run run_FIDIC.m. All other files are subfunctions. The comments in run_FIDIC.m give an explanation of the input parameters.

This m file is currently set up to run as a function, but you can comment out the first line and uncomment the section ``INPUTS'' to run as a script.

See the subdirectory Tips-and-Example for user advice and an example (with a sample set of images).

Description of Original Version

The Fast Iterative Digital Image Correlation Algorithm (FIDIC) is a 2D version of FIDVC algorithm (please see [Bar-Kochba, Toyjanova et al., Exp. Mechanics, 2014] http://link.springer.com/article/10.1007/s11340-014-9874-2?sa_campaign=email/event/articleAuthor/onlineFirst) for more details) to find displacements fields in a 2D image.

Cite

If used please cite: Bar-Kochba E., Toyjanova J., Andrews E., Kim K., Franck C. (2014) A fast iterative digital volume correlation algorithm for large deformations. Experimental Mechanics. doi: 10.1007/s11340-014-9874-2

@article{bar2014fast,
  title={A fast iterative digital volume correlation algorithm for large deformations},
  author={Bar-Kochba, E and Toyjanova, J and Andrews, E and Kim, K-S and Franck, C},
  journal={Experimental Mechanics},
  pages={261--274},
  volume={55},
  year={2014},
  publisher={Springer}
}

Contact and support

For questions, please first refer to FAQ and Questions/Issues. Add a new question if a similar issue hasn't been reported. The author's contact information can be found at Franck Lab.

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Fast Iterative Digital Image Correlation Algorithm


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