PIVlab - Time-Resolved Digital Particle Image Velocimetry Tool for MATLAB
Creators: name: Thielicke, William
name: Eize J. Stamhuis
Publisher: name: figshare
Year: 2021
Subjects: subject: Environmental Science
subject: Limnology
subject: Oceanography
subject: FOS: Earth and related environmental sciences
subject: FOS: Earth and related environmental sciences
subject: Physiology
subject: FOS: Biological sciences
subject: FOS: Biological sciences
subject: Cell Biology
subject: Atmospheric Sciences
subject: Geophysics
subject: Applied Physics
subject: Climate Science
subject: Microbiology
subject: Computer Software
subject: FOS: Computer and information sciences
subject: FOS: Computer and information sciences
subject: Biophysics
subject: Biological Engineering
subject: Biotechnology
subject: Soil Science
subject: Hydrology
subject: 20203 Particle Physics
subject: FOS: Physical sciences
subject: FOS: Physical sciences
subject: Artificial Intelligence and Image Processing
subject: Aerospace Engineering
subject: FOS: Mechanical engineering
subject: FOS: Mechanical engineering
subject: Marine Biology
subject: 91308 Solid Mechanics
subject: Biological Techniques
subject: Zoology

description: <b>Get the latest release here:</b>https://github.com/Shrediquette/PIVlab/releases<br><br><b>Getting started information is available here:</b>https://github.com/Shrediquette/PIVlab/wiki<br><br><br>PIVlab is a time-resolved particle image velocimetry (PIV) software that does not only calculate the velocity distribution within particle image pairs, but can also be used to derive, display and export multiple parameters of the flow pattern. A user-friendly graphical user interface (GUI) makes PIV analyses and data post-processing fast and efficient.<br><br>Video about the tool:<br>https://www.youtube.com/watch?v=Sp3Ounq07Qc<br>Example analyses &amp; videos can be found on the PIVlab website:<br>http://PIVlab.blogspot.com <strong>Please ask your questions in the PIVlab forum: </strong><br><strong>http://pivlab.blogspot.de/p/forum.html</strong> Peer reviewed paper on PIVlab: <strong>Thielicke, W and Stamhuis, E.J. 2014</strong>. PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB. <em>Journal of Open Research Software 2(1):e30,</em> DOI: http://dx.doi.org/10.5334/jors.bl Main features:<br>* completely GUI based PIV tool<br>* multi-pass, multi grid window deformation technique<br>* import bmp/ tiff/ jpeg image pairs/ series<br>* image sequencing styles A-B, C-D, ... or A-B, B-C, ...<br>* individual image masking and region of interest (ROI) selection<br>* image pre-processing (contrast enhancement, highpass, intensity capping)<br>* two different sub-pixel estimators<br>* multiple vector validation methods<br>* magnitude/ vorticity/ divergence/ shear / ...<br>* data smoothing, vector field highpass<br>* multiple colormaps<br>* streamlines<br>* extensive data extraction tools/ integration via poly lines/ circles/ area<br>* statistics (histograms, scatterplot, mean &amp; stdev)<br>* precise particle image pair generation with user-defined parameters and several flow simulations (synthetic PIV image generator)<br>* data export (matlab, ascii, movie file, image, Paraview, ...)<br>* main features accessible via comand line scripting