Basic DIC / PIV toolkit
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 (2024). Basic DIC / PIV toolkit (https://github.com/swildeman/dicflow), GitHub. Récupéré 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.
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxCatégories
- MATLAB > Data Import and Analysis > Data Import and Export > Standard File Formats > Audio and Video Data >
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Découvrir Live Editor
Créez des scripts avec du code, des résultats et du texte formaté dans un même document exécutable.
examples
general
Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées
Version | Publié le | Notes de version | |
---|---|---|---|
1.0.0 |
|