Comparison of OpenPIV and PIVlab

Since quite a while, I benefit from discussions with the main developer of OpenPIV (Prof. Alex Liberzon from Tel Aviv University) and other people that contribute to OpenPIV. It is almost a bit like a cooperation, as we share thoughts on different topics, and Alex is really into practical and theoretical PIV application. I think we have a very friendly rivalry in developing useful PIV software.

The results are available here: https://github.com/alexlib/openpiv_pivlab_von_Karman_data

You will notice that they are very noisy. But we intentionally decided to make the analysis very challenging for our software. The final interrogation area is e.g. only 6*6 pixels, and no smoothing is allowed. I don't really see a difference between OpenPIV and PIVlab, which is probably a good sign. It might be interesting to include commercial software too in this comparison in the future.

By the way: Happy New Year to all PIVlab users (and of course all OpenPIV users too ;-D). The year 2020 has been great for PIVlab with a succesful migration to github, and a lot of new users. PIVlab's popularity seems to be still increasing (see picture below), let's see what 2021 has for PIVlab!

Citations of my PIVlab-related publications (from Google scholar).


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