mpiv: Particle Image Velocimetry Full-Field Velocity Analysis Code

Resource Overview

A comprehensive MATLAB-based code for extracting full-field velocity measurements using Particle Image Velocimetry (PIV). This implementation includes image preprocessing, cross-correlation analysis, and post-processing routines to efficiently compute velocity fields from particle image pairs. Features automated processing pipelines with configurable parameters for different experimental setups.

Detailed Documentation

The PIV full-field velocity analysis code enables rapid and efficient computation of velocity fields from particle image sequences. The implementation incorporates advanced image processing techniques including background subtraction, contrast enhancement, and noise reduction algorithms to optimize input data quality. Core velocity calculation utilizes fast Fourier transform (FFT)-based cross-correlation methods with sub-pixel interpolation (typically Gaussian or parabolic fitting) for enhanced spatial resolution. Users can apply various digital filters such as median filters for outlier removal or low-pass filters for spatial smoothing to improve velocity field quality. The code architecture supports modular integration of additional analysis modules for vortex identification, turbulence statistics calculation, and vector validation techniques. This flexible framework provides researchers with comprehensive tools for fluid dynamics investigation, allowing detailed analysis of flow structures and quantitative assessment of hydrodynamic phenomena through customizable processing parameters and visualization options.