Basic DIC / PIV toolkit

Versione 1.0.0 (20,1 KB) da S Wildeman

Digital image correlation (DIC) and optical flow (OF) toolkit for synthetic Schlieren imaging, PIV or deformation tracking.

https://github.com/swildeman/dicflow

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Aggiornato 8 nov 2019

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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>".

Cita come

S Wildeman (2025). Basic DIC / PIV toolkit (https://github.com/swildeman/dicflow), GitHub. Recuperato novembre 8, 2025.

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.

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Creato con R2017b

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MATLAB > Data Import and Analysis > Data Import and Export > Standard File Formats > Audio and Video Data >

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examples

general

Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate

Versione	Pubblicato	Note della release
1.0.0	8 nov 2019

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.

MLA	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.
APA	Wildeman, S. (2018). Real-time quantitative Schlieren imaging by fast Fourier demodulation of a checkered backdrop. Experiments in Fluids, 59(6). Springer Science and Business Media {LLC}. Retrieved from https://doi.org/10.1007%2Fs00348-018-2553-9
BibTeX	@article{Wildeman_2018, doi = {10.1007/s00348-018-2553-9}, url = {https://doi.org/10.1007%2Fs00348-018-2553-9}, year = 2018, month = {may}, publisher = {Springer Science and Business Media {LLC}}, volume = {59}, number = {6}, author = {Sander Wildeman}, title = {Real-time quantitative Schlieren imaging by fast Fourier demodulation of a checkered backdrop}, journal = {Experiments in Fluids} }