PIVlab - particle image velocimetry (PIV) tool with GUI

PIVlab is a graphical user interface (GUI) based particle image velocimetry (PIV) software. It can be used to control OPTOLUTION's lasers, cameras and synchronizers, and of course it calculates the velocity distribution within imported (or captured) particle image pairs. It can also be used to derive, display and export multiple parameters of the flow pattern. The simple, GUI makes PIV data acquisition and data post-processing fast and efficient.

PIVlab comes with it's own unique hardware: Pulsed lasers, LEDs, synchronizers and cameras are available here: Optolution.com

Video tutorial 1/3: Quickstart guide https://youtube.com/watch?v=g2hcTRAzBvY

Video tutorial 2/3: Pre-processing, analysis and data validation https://youtube.com/watch?v=15RTs_USHFk

Video tutorial 3/3: Data exploration and data export https://youtube.com/watch?v=47NCB_RFiE8

PIVlab controlling cameras, lasers, etc. https://youtu.be/8B5M31NWlJc

Installation: https://github.com/Shrediquette/PIVlab/wiki#installation-instructions

Please ask your questions in the PIVlab forum: http://pivlab.blogspot.de/p/forum.html

Software documentation is available in the wiki: https://github.com/Shrediquette/PIVlab/wiki

Code contributors:

• Main: William Thielicke (http://william.thielicke.org)
• Name spaces / packages: Mikhil from MATHWORKS (https://github.com/Mikhil11)
• Vectorization in piv_fftmulti: Sergey Filatov (http://www.issp.ac.ru/lqc/people.html)
• GUI parallelization: Chun-Sheng Wang, ParaPIV (https://de.mathworks.com/matlabcentral/fileexchange/63358-parapiv)
• Command line parallelization: Quynh M. Nguyen (https://github.com/quynhneo)
• Speed, memory and general optimizations: Maarten (https://github.com/mkbosmans) via VORtech.nl via MathWorks

We would like to acknowledge Uri Shavit, Roi Gurka & Alex Liberzon for sharing their code for 3-point Gaussian sub-pixel estimation. Thanks to Nima Bigdely Shamlo for allowing me to include the LIC function. Thanks to Raffel et al. for writing the book "Particle Image Velocimetry, A Practical Guide", which was a very good help. Thanks to the thousands of publications that use PIVlab for research!

Visit Matlabs File exchange site for PIVlab:

PIVlab can be run online using MATLAB online. MATLAB online is free (after registration) with a limited usage time per user (20 hrs/month):