Digital image correlation (DIC) and optical flow (OF) toolkit for synthetic Schlieren imaging, PIV or deformation tracking.
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Features:
* Fast and accurate normalized cross correlation and correlation peak detection
* Uses different size interrogation windows in first and second image, to prevent zero-displacement bias often encountered in equal window size implementations.
* Support for fixed, non-rectangular ROI specification (taken into account in correlation normalization)
* Modular design for easy incorporation existing scripts/workflow, or creating custom warping schemes
* Allows for combination of DIC (for large displacements) and optical flow (for subpixel fine tuning), see included example
* Mostly supports GPUArrays
Use cases:
* Mostly for small (~0.01 px) to moderate (~10 px) particle displacements with not too large rotations or virtual strains. For extreme image deformations more advanced software such as Ncorr is probably more suitable.
Installation:
* Add the main folder and its sub folders to your Matlab path.
Usage:
* See example scripts in "examples" folder or type "help <functionname>".
Citation pour cette source
S Wildeman (2026). Basic DIC / PIV toolkit (https://github.com/swildeman/dicflow), GitHub. Extrait(e) le .
Wildeman, Sander. “Real-Time Quantitative Schlieren Imaging by Fast Fourier Demodulation of a Checkered Backdrop.” Experiments in Fluids, vol. 59, no. 6, Springer Science and Business Media {LLC}, May 2018, doi:10.1007/s00348-018-2553-9.
Informations générales
- Version 1.0.0 (20,1 ko)
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Afficher la licence sur GitHub
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.0.0 |
