This repository contains the Particle Separator process, designed to enhance Particle Image Velocimetry (PIV) preprocessing and post-processing. The code detects particles using a single-point maxima/minima algorithm, ensuring accurate localization of individual particles. The detected particles are then overlaid on a black background, making them suitable for PIV processing.
Additionally, the repository includes post-processing scripts for analyzing PIV results, enabling further insights into flow characteristics.
- Particle Detection: Implements a single-point maxima/minima approach for accurate identification.
- Preprocessing for PIV: Converts detected particles into a high-contrast black background image for input into PIV algorithms.
- Post-Processing: Scripts for analyzing, visualizing, and interpreting PIV results.
- Run the particle detection script to identify and overlay particles.
- Feed the generated images into a PIV solver for velocity field calculation.
- Utilize post-processing scripts to analyze and extract meaningful flow data.
This repository is optimized for experimental fluid mechanics applications, particularly cavitation and particle tracking studies.