* userfriendly and GUI based PIV tool
* multipass, multigrid window deformation technique
* import bmp/ tiff/ jpeg image pairs/ series
* multiple image sequencing styles
* individual image masking and region of interest

* image preprocessing
* two different subpixel 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

where is the download link? I have a question related to the u and v . Are they the components to velocity magnitude and the related x,y are the coordinates for the u and v? and the units of u and v are in m/s?
ReplyDeleteSharif
about the download link: i don't know. on the matlab file exchange page is still 1.2
ReplyDeleteabout your seconds question: yes, and yes.
and you have to calibrate your results to have the velocities in m/s otherwise it's just pixels per frame/imageset.
best,
markus
Hi, there is no version 1.3 out! :*(
ReplyDeletePlease, provide a valid download link for it, since we're so desperately eager to see the changes you've made to it! ;)
Greetz
Hi there,
ReplyDeleteI am still avaiting the approval to include the line integral convolution in PIVlab...
PIVlab 1.3 is now available for download at the Matlab File Exchange:
ReplyDeletehttp://www.mathworks.com/matlabcentral/fileexchange/27659
Changes in next release:
ReplyDelete* Included units (e.g. "m", "m/s", "1/s" or "px", "px/frame", "1/frame" etc.) wherever possible
* Export image as EPS
* Modified "Export to Matlab Workspace" (all data available now)
* Colorbar position can be adjusted
To Do:
* Experiment with parallel computing toolbox...
good work .
ReplyDeleteperhaps you could consider a couple of thigs:
1º) signatonoyse fitering: susing the relationshi betwenn the the tow may pesk of crosscorrelation function you can estimathe the goodness of the corelation and eliminate easyly n mor efficiently regions with no particles (signal to noise ratio near to 1)
2º tophat filtering: it's a topoligical hight pas fitering for preprocessing very usefull with pixel like particles.
I have implemente these modification in you last two relases. and they work quie well with PIV in flames.
Hi,
ReplyDeleteI would like to ask, how to change the grid step? Means, now I think that the step is equal 8 or 9. I would like to have smaller one.
Hi, currently, the grid distance is calculated from the interrogation window size (50% overlap). If you want to have a finer grid, then you have to decrease the interrogation area in the last pass. Or you can use the DCC algorithm in which you can choose the step size (= grid spacing). But FFT multipass performs better.
DeleteCan anyone help me to find cross co relation co efficient by using PIV LAB ? .. How can i find it .. I explored the software .. but i couldn find :(
ReplyDeleteWhat is a cross correlation coefficient? Sorry, I don't know what it is. Do you mean the correlation matrix...?
Delete