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>".
인용 양식
S Wildeman (2026). Basic DIC / PIV toolkit (https://github.com/swildeman/dicflow), GitHub. 검색 날짜: .
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.
MATLAB 릴리스 호환 정보
플랫폼 호환성
Windows macOS Linux카테고리
- MATLAB > Data Import and Analysis > Data Import and Export > Standard File Formats > Audio and Video Data >
태그
GitHub 디폴트 브랜치를 사용하는 버전은 다운로드할 수 없음
| 버전 | 게시됨 | 릴리스 정보 | |
|---|---|---|---|
| 1.0.0 |
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