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PIVlab is a time-resolved particle image velocimetry (PIV) software that is updated regularly with software fixes and new features. It does not only calculate the velocity distribution within particle image pairs, but can also be used to derive, display and export multiple parameters of the flow pattern. A user-friendly graphical user interface (GUI) makes PIV analyses and data post-processing fast and efficient. Video Explanation of the tool: Example analyses & videos can be found on the PIVlab website: Please ask your questions in the PIVlab forum: Main features:.
completely GUI based PIV tool. multi-pass, multi grid window deformation technique.
import bmp/ tiff/ jpeg image pairs/ series. image sequencing styles A-B, C-D. individual image masking and region of interest (ROI) selection. image pre-processing (contrast enhancement, highpass, intensity capping). two different sub-pixel estimators.
multiple vector validation methods. magnitude/ vorticity/ divergence/ shear /. Hi lovely people! I have a small problem and would really appreciate your help. I have analysed a sequence of frames (movement of ballast particles under certain frequencies) and would really like to obtain the average velocity of my particles (or frames). So - first idea - use the mean vector! This is where my problems started:) The velocity in all of my analyzed frames is significantly (almost x10²) higher than the velocities shown in my mean vector frame.
Does anyone have an idea what could have gone wrong? @Joe: What you see is the vector validation between the passes. This doesn't really affect your end result. All vectors of the final pass are 'real vectors', they are not interpolated. @Elizabeth: You need texture in the medium that you want to track. As a rule of thumb: If your eyes can see a movement in the images, then PIVlab will also be able to do a cross-correlation. @Edouard: I did something similar in my PhD project, but you need to do the calculations in Matlab.
I can recommend Paraview for displaying the 3D data. William, First, please accept my thanks for developing such excellent software. I am finding is preferable to commercially available PIV programs for my PhD work (of course, you will be cited where appropriate). My question - I'd like to export the full 2D velocity vector components (u,v). I've seen where I can export u or v along a line under the 'Extractions' menu, but is there a function in the GUI to do this for the full 2D vector field over the entire ROI? Finally, it is mentioned that documentation about the accuracy of the algorithms, etc. May be available by early 2014 pending publication of your thesis.
Do you have any further information in this regard? Many thanks, Roe. Hey William, I love your program. It is truly sophisticated and quite easy to work with. One thing appeared to me, however. If I extract the velocity magnitude from an area, I have two possibilities, right?
- through 'area mean value' - 'velocity magnitude' and through 'area mean flow direction'. Though, the results are different. I'm not a matlab-pro so it's hard for me to follow the source-code to where the exact difference is. Maybe you can give me an advice which possibility I could 'trust' more;) Thanks for everything, Tobi. Dear Sina, Images are not binarized. PIVlab however only uses intensity information from the images. There should be minimally around 6 particle pairs in the last pass.
The larger the interrogation area is, the better are the individual vectors. But you lose resolution of course. When there are no particles in a region, then PIV doesn't work.
The challenge usually is to optimally set up the experiment, but I guess thiss will be hard in your case. Please send me some images, ans I can have a look. Dear William, Thank you for the amazing PIV code that you created. I am working with a series of images obtained in a dense fluidized bed made of many particles.
Some questions that arose while I started working with your PIV lab are: 1. Does the program binarize all the images once I do the image pre-processing? There are regions where there is no particle but I see that there are many velocity vectors that should be avoided somehow. How should I choose Pass1, 2 and 3?
Is there a certain criteria for that? I'll be happy to send you some of the images too. Best regards Sina. Thank you for the excellent PIV algorithm that you created.
I've used a few now and this appears the most user-friendly in my opinion. Thank you for your reply to my previous question. I found that there was obvious flickering of the video i analysed before, which would introduce artefacts.
Say if i have particles flowing in a fluid, does PIVlab generate vectors on the basis of particle tracking or is more of a textural analysis algorithm? If it is particle tracking, i might have more issues with determining vectors as i'm currently working with smaller ROI's hence if i increase the bulk flow rate, soon i would have to increase the interrogation window size to some unreasonable value and i might lose valuable information. Hi I want to generate streamlines of fluid flow around a structure in an enclosed flow channel.
To aid in the tracking of fluid flow and its velocity i have added micro-particles to the fluid. So I'm using this GUI to generate the streamlines for me. The problem i have is that when i play the video of the fluid flow, i can easily see the net direction of the flow.
But when i analyse a few frames of it using PIVlab, i get a fair few errant vectors that are pointing in the wrong direction. Other than manually eliminating this every time for every frame that i analyse, is there something else i could do? Thank you for considering my question. @Bhavin: You could open pivlabgui.m and search for 'vectorcolor='g'. Replace this with e.g.
'r' for red or 'k' for black. When you want to modify the vector colors that are plotted during displaying derivatives (e.g. Vorticity or magnitude etc.), search for vectorcolor='k' and replace it with a color of your choice. I will add the possibility for changing vector colors in a next release. @ALL: If you miss some features, please add your comment/wish here: Otherwise I might forget to add the desired features in the next release (I have quite a number of projects, and it's hard to keep track of everything.). Hello W Thielicke, your tool is awesome. Thanks for posting it!
I have a question about vector validation. I am running your program for wound healing analysis.
Before analysis, I apply a binary threshold to my images to decrease noise. When I run the program, there are vectors for the cells, aberrant vectors from cell division, and dots on the denuded areas where no movement occurred. When I select velocity limits and apply them to the frames, the aberrant vectors are replaced by smaller orange vectors, but now the denuded area that should have no movement between frames has small orange vectors too. Why are areas on no movement being assigned vectors when I limit the velocity range? I take care to center my limits on (0,0) on the scatter plot (I will select the area between (-1,1) and (1,-1), for example).
@K.Wager: I did some preliminary multi-pass tests a while ago. I did a normal analysis as first pass, and got a displacement in x and y. In the next pass, I shifted the interrogation areas of the second image using the integer displacement of the first pass and redid the analysis.
The result of the analysis didn't change at all after two passes. I think the reason is that I am using a DCC approach for the analysis, but I am not yet sure about this. Maybe, if I'd use a FFT approach, the result would be better with a multipass analysis. Also, if i'd decrease the interrogation area in the second pass, the results would probably not become better, because the analysis would then be based on less pixel information, which might increase noise. In the latest release (not uploaded yet), I added a feature to draw streamlines in the analyses. Maybe this will be interesting to some of you.