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Setting the searching window equal to the interrogation window will turn the PIV program into conventional cross-correlation mode (less recommended, but you don't need to install the OpenCV library). Otherwise, search against twice as large as the interrogation window would be fine. If you know the expected maximum displacement value, you can set the search window size as (interrogation window + 2*maximum displacement). The search window size should always be larger or equal to the interrogation window. Using 1/4 the image dimension for the 1st interrogation window could be a good starting point. Please refer to the installation section for more detail.īy default, you can do 3 passes of PIV, with decreasing interrogation window size. It is highly recommended to use this plugin with the template matching method in order to obtain better result. Second, the normalized algorithm is less sensitive to background intensity variation and allows one to define a threshold to distinguish high and low image correlations, so that the correlation made on small interrogation window presenting insufficient features which tends to be erroneous can be easily filtered out and replaced by interpolated value. The PIV information from previous round only served as a guidance for determining the correlation peak. It has several advantages: first, the interrogation window is compared against a larger searching window, ensuring the feature (image under the interrogation window) will be presented in the searching area. The second method employs the template matching method using normalized correlation coefficient algorithm. However, if this window preshift value was not correct, then the subsequent PIV could be made on two irrelevant interrogation windows and cause erroneous result. Each PIV result will serve as window preshift for the next PIV iteration, so that large displacement could still be catch when small interrogation window was used. As a result, only interrogation window with a power of 2 size will be accepted. It is a rather primitive implementation using the ImageJ's built-in FHT.conjugateMultiply function. The first one is the most conventional cross-correlation method. Ultra High Speed ICCD Camera Systems perfectly matches the Auto Correlation PIV.This iterative PIV program implements two methods for image correlation.

'Ĭylindrical lenses offer many focusing options. 'CIVPROJECT develops an integrated set of programs for computer image acquisition, particle imaging velocimetry (PIV) and related image processing tools and graphic interfaces.

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Schematic animation of Particle Image Velocimetry Measurement Originally taken from PIV animation of NASA, but that web site was removed long time agoĬIV project - a Free PIV Solution. 'The rtCam is designed to make PIV easy.' The world's first integrated real-time PIV system. PIV11 ' Ninth International Symposium on Particle Image Velocimetry, July 21-23, 2011, Tsukuba, Japan' 'Introducing the Phantom V12.1 Digital High-Speed Camera' Phantom V12.1 ideal for particle image velocimetry (PIV) applications.

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Smart PIV 'Development of an Interactive integrated PIV System based on Miniaturised Optical Sensor Technology for Implantable device design'įree Download GPIV 0.6.0 'Gpiv is a Graphic User Interface program for Particle Image Velocimetry (PIV).' Innovative Seeding Materials for Fluid Dynamics, ISOSPHERES by MICROSPHERE TECHNOLOGY LTD EverGreen, a state of the art laser for PIV by Quantel Lasers