Particle Image Velocimetry (PIV)

This is an excellent MATLAB implementation for Particle Image Velocimetry (PIV) that has been verified for reliability through testing in MATLAB R2010a. The code employs advanced image processing techniques to achieve precise velocity measurements in fluid dynamics studies. It features robust cross-correlation algorithms that accurately track particle displacements between consecutive image frames, generating detailed velocity vector fields. Users can efficiently extract comprehensive particle motion data using this implementation, which includes functions for image preprocessing, correlation peak detection, and vector validation. The code's modular structure allows for easy customization of parameters such as interrogation window size, overlap ratios, and validation thresholds. This practical and user-friendly tool is suitable for various PIV applications across different scenarios. Whether in laboratory research or engineering practices, the code provides accurate and reliable velocity measurement results. The implementation includes features like outlier detection and vector interpolation, ensuring data integrity while adding significant value and convenience to experimental workflows.