#4: Fixed a bug related to the subpixel interpolation. #8: Force the output number format to override the system locale setting to avoid the error interpretation of comma for different locale (ex: French / US). #3: Fixed a bug when no correlation peak was found at first round. #6: Added macro script examples for analyzing stacks with more than 2 slices. #7: Fixed a bug causing the wrong magnitude in the Cross-correlation version. #3: Updated to match more recent javacv/opencv library files (support win32, win64, mac64, linux32, linu圆4 now) #7: Updated to use the latest javacv version 0.10 #2: Make the post-processing compatible with macro command, example: Try with the sample image to see if everything worked correctly. Restart ImageJ, you will find a new entry under the plugins menu (Plugins>PIV) Depending on your system architecture, put one of the following files: 32-bit Windows, 64-bit Windows, 64-bit Mac, 32-bit Linux or 64-bit Linux into your ImageJ's plugins folder. Download javacv library files javacv.jar, javacpp.jar, opencv.jar into your ImageJ's plugins folder Download the PIV_.jar and put it into your ImageJ's plugins folder If your ImageJ.exe is under Program files(x86), then you are using 32bit. Determine your system architecture: for windows 7 or 8, you might run ImageJ under 32bit or 64bit. Put the system-independent javacv library files: javacv.jar, javacpp.jar, opencv.jar into your ImageJ's plugins folder.ĭepending on your system architecture, put one of the following files: 32-bit Windows, 64-bit Windows, 64-bit Mac, 32-bit Linux or 64-bit Linux into your ImageJ's plugins folder. However, if you want to do PIV with the template matching method (window size unlimited by the power of 2, and interrogation window compared with a larger searching window), you will also need the OpenCV / javacv library files. You will find this plugin under the ImageJ menu Plugins>PIV. Just put the downloaded PIV_.jar to your ImageJ plugins folder, and restart ImageJ. Compared with the plugin PIV analyser, this plugin provides more flexibility in terms of multiple PIV iteration, different correlation algorithm, as well as data retrieval and processing.įor FIJI users: use the built-in update manager (ImageJ's Menu>Help>Update.), and add the following URL via "Manage update sites">"Add update site" Nevertheless, the implementation as ImageJ plugin makes it more available to general public and easier to combine with other image processing tasks. It might be somehow rudimentary compared with other specialized PIV program (such as JPIV, mpiv, openPIV. This plugin was originally developed for measuring the displacement field of Traction Force Microscopy (TFM). This plugin also provide a plot function to visualize the vectorial data with selected color coding. The result of the PIV analysis will be displayed as a vectorial plot, and saved in plain text tabular format containing all the analysis result. One can either use the conventional cross-correlation method, which compares two interrogation windows with the same size or one can use the template matching method with normalized correlation coefficient algorithm, where the interrogation window is compared against a larger searching window. Two image correlation methods were implemented for the optic flow measurement. By progressively decreasing the interrogation window size, a better PIV resolution can be achieved. The cross-correlation between these image subregions measures the optic flow (displacement or velocity of the objects) within the image pair. Basically, a pair of images is divided into smaller regions (interrogation windows). This ImageJ plugin performs iterative particle image velocimetry (PIV) analysis.
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