I updated the tutorial for PIVlab.


The next release of PIVlab is in progress. It will have some additional features and some bug fixes.

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Optical flow in PIVlab

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Welcome wOFV (wavelet-based optical flow velocimetry) to the family of open-source and easy to apply velocimetry algorithms! I released the beta yesterday evening (just before leaving to holidays 😀): Optical flow in PIVlab, see the video above for some comparisons to classical PIV. Download here: https://github.com/Shrediquette/PIVlab/releases Implemented by Bryan E. Schmidt, Gauresh Raj Jassal from Flow Physics and Imaging Laboratory at case.edu and me.
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PIVlab 3.00 released

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  I have just released PIVlab 3.00. There are several changes in the way the graphics are drawn, the way the data is exported and the way it interacts with masks / calibration and region of interest: New graphics: Transparency, masks are transparent, only ROI is opaque Colorbar is now outside the plot for much improved readability Export image data as .mp4 and as .png image Completely new mask handling, allowing much easier mask creation / modification. Mask stay editable all the time. Much easier to create holes in masks Mask operations like shrink/grow/simplify/subdivide/optimize Automatic mask generator, capable of automatic masking of bright areas / dark aread / low-contrast areas. Possibility to add more automatic mask generators in the future Mask import (of user generated masks) heavily improved Matlab Online fully supported New line extraction and area extraction interface: More straightforward and faster. Better interaction Natural file name sorting when importing image fi...
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Comparison of OpenPIV and PIVlab

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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...
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