Dear Joseph, I just implemented background substraction into JPIV directly. With the actual version, you don't need ImageJ any more. https://eguvep.github.io/jpiv/ Regards, Peter
Dear JPIV users, Source code and documentation of JPIV moved to GitHub. Please visit the updated project at: https://eguvep.github.io/jpiv/index.html There are two main reasons for moving to GitHub: I updated and moved the documentation from my private homepage (jpiv.vennemann-online.de) to GitHub Pages (https://eguvep.github.io/jpiv/index.html), to ease maintenance with git, and to enable contributions by others. JPIV and OpenPiv (https://github.com/OpenPIV) started to collaborate. Forking and merging...
Try png as a file format. That is the most stable export option on most platforms.
Dear Javi, JPIV is just for 2D flow fields, not for Stereo PIV or Tomo-PIV. The reconstruction of 3D flow fields from Multi-Plane 2D PIV (Scanning PIV) is implemented, though (for incompressible flows). Regards, Peter
Dear Megan, It is just the peak hight, not the signal to noise ratio, in the fifth column, although they are kind of propotional. There is no need to export it, because jvc files are just space separated text files. You can open them with any text editor or any other visualization tool. Regards, Peter
Trajectory plot is not implemented in JPIV. I would use https://matplotlib.org/3.1.3/api/_as_gen/matplotlib.axes.Axes.streamplot.html#matplotlib.axes.Axes.streamplot.
There seems to be an error in the .jvc file. Please review the file with a text editor.
Dear Karhikeyan, if you know the mm/px value, you can directly enter it as JPIV - Preferences - Vector Plot - Axis Unit Conversion Factor. You can divide this value by the time difference between the frames and enter it as a Unit Conversion Factor of the color legend, to get real velocity units. In JPIV, the orginal data is never changed. Just the labels of the color bar are changed. Regards, Peter