Main Features:
* userfriendly and GUI based PIV tool
* multi-pass, multi-grid window deformation technique
* import bmp/ tiff/ jpeg image pairs/ series
* multiple image sequencing styles
* individual image masking and region of interest
* image pre-processing
* two different sub-pixel estimators
* multiple vector validation methods
* magnitude/ vorticity/ divergence/ shear / ...
* data smoothing, vector field highpass
* multiple colormaps
* streamlines
* extensive data extraction tools
* statistics
* synthetic PIV image generator
* Many data export features
* main features accessible via comand line scripting

Monday, June 30, 2014

PIVlab update 1.35

Almost two years since the last update... Here's the list of changes:
  • Instructions on how to cite PIVlab in your publication (in the menu: 'Referencing / Help'). This will be updated again as soon as my papers got accepted.
  • Streamlines now run through user selected coordinates
  • Parameter name included in color bar
  • Region of interest can additionally be selected by entering coordinates
  • 'Wiener2' adaptive denoise filter in image pre-processing
  • Pdf file export
  • Updated link to tutorial
  • Matlab version check (I don't have access to Matlab 7.1 anymore, therefore the minimal supported version now is Matlab 7.10.0 (R2010a)
  • Several small bug-fixes / improvements
The download link: PIVlab @ Matlab FEX

Have fun!


  1. Hey William,

    I am interested in reading your paper that you reference in "PIV settings (optional)" section, specifically regarding the signal-to-noise ratio, vector resolution, and accuracy. Do you know where or when I would be able to access your paper to read up on that information?


    1. The paper is still under review... I will contact the editors and ask for the progress. My thesis will be published on the 31. October 2014 or sooner, it includes a chapter on PIVlab.