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PIVsuite

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PIVsuite

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14 Jan 2014 (Updated )

package for PIV analysis from a command line

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Description

Package for measurements of the velocity field (or particle displacement) using PIV technique. It has following features:
- used from command line (no GUI); suitable for implementation in software with broader scope
- relatively fast, especially if previous velocity field can be used as velocity guess for the next image pair (increasing evaluation speed in the case of time-resolved PIV)
- *** NEW ***: able to distribute treatment of a large data set to multiple Matlab instances (for faster treatment using multiple processors or computers - see example 06b)
- multipass, multigrid algorithm, with image deformation
- multipass validation of velocity vectors
- each image might have its individual mask (suitable for studying flow around a moving body)
- includes several examples demonstrating its use
- accuracy proved by processing images from 3rd PIVChallenge (see examples 04, 07, 08a and 08b)
- includes a subroutine for visualization of results
Usage:
- Modify one of examples (files example_0x_xxxx.m in PIVsuite v.0.83 folder) to meet your needs.
Remarks:
- This is a beta version.
- Examples in html format can be found in PIVsuite v.0.83/html foder.
- Examples 4, 7, 8a and 8b demonstrates the accuracy on PIVChallenge images. Before running these examples, download image files from PIVChallenge.org (link is provided in the corresponding examples).

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Acknowledgements:

This software is largely inspired by PIVlab by William Thielicke. Sample images for flow around a cylinder come also from his contribution.

This package uses
- inpaint_nans.m by John D'Errico
- inpaint_nans3.m by John D'Errico
- inpaintn.m by Damien Garcia
- smoothn.m by Damien Garcia
- idctn.m by Damien Garcia

PIVsuite is developped by Jiri Vejrazka, Institute of Chemical Process Fundamentals, Academy of Sciences of the Czech Republic, Prague. Development is supported by Ministry of Education, Youth and Sports (project LD 13018). Some parts of the software were developped with support of Czech Science Foundation (P101/11/0806).

Acknowledgements

Pi Vlab Time Resolved Particle Image Velocimetry (Piv) Tool, Inpaint Nans, Inpainting Nan Elements In 3 D, Fast 'N Easy Smoothing, and Inpaint Over Missing Data In 1 D, 2 D, 3 D,... N D Arrays inspired this file.

Required Products MATLAB
MATLAB release MATLAB 8.3 (R2014a)
Other requirements Image processing toolbox (required only for some specific settings; not needed for standard settings)
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Updates
15 Jan 2014

2014-01-15: Organization included in the license.

19 Mar 2014

- examples processing PIVChallenge images included
- MinMax image preprocessing added
- windowing functions added
- cross-correlation can be evaluated using now also using direct numerical convolution (faster in final passes)
- code clean-up

19 Mar 2014

- unneeded files deleted

11 Sep 2014

- job management added (allows treatment using multiple computers)
- IMPORTANT: in v.0.83 or above, paths to files should be specified using slash (/) as folder separator, even in Windows. Do not use backslash (\) or filesep!

11 Sep 2014

- some mistyping fixed

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