Thanks again for developing such a great PIV tool!
I would like to use correlation averaging during the cross-correlation evaluation. In fact, my images suffer from low particle concentration and this method is powerful to increase the number of particle image contributing to a PIV evaluation.
For that, the correlation matrices of several measurements are summed up and the peak in correlation is searched in the sum of correlation (Lindken et al., 2009, Lab Chip, 9, 2551-2567).
I already tried to calculate the average velocity of several frames, but I would like to use this correlation averaging method. Any idea?
I guess I can extract the correlation matrices from PIVlab for several frames? And then, someone already know a Matlab tool that can post-processed these data with correlation averaging? (or I can write my own code of course, but it can be useful if someone already developed an optimized code ...).
I would also need a copy of the correlation averaging method. I am doing steady state microfluidics for the moment. My predecessor was using JPIV, which is java based. However, I am unable to make it run under win now, I changed to ubuntu and I can process 20 images whereas she was processing up to 1000 images for a steady state flow to be within a certain error. Since I already lost too much time investigating in JPIV and I really need to come up with some results now, I was looking for another open source PIV programme and found this nice piece of work.
I really appreciate if anyone could send me a copy of the correlation averaging method and a little explication of how to implement or use.
Thank you very much!