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PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB

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TLDR
The accuracy of several algorithms was determined and the best performing methods were implemented in a user-friendly open-source tool for performing DPIV flow analysis in Matlab.
Abstract
Digital particle image velocimetry (DPIV) is a non-intrusive analysis technique that is very popular for mapping flows quantitatively. To get accurate results, in particular in complex flow fields, a number of challenges have to be faced and solved: The quality of the flow measurements is affected by computational details such as image pre-conditioning, sub-pixel peak estimators, data validation procedures, interpolation algorithms and smoothing methods. The accuracy of several algorithms was determined and the best performing methods were implemented in a user-friendly open-source tool for performing DPIV flow analysis in Matlab.

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Journal ArticleDOI

Assessment of Blood Biophysical Properties Using Pressure Sensing with Micropump and Microfluidic Comparator

Yang Jun Kang
- 01 Mar 2022 - 
TL;DR: In this article , a micro-particle image velocimetry is used to obtain the flow rate of the reference fluid (Qr) in a microfluidic comparator.
Journal ArticleDOI

Holographic astigmatic particle tracking velocimetry (HAPTV)

TL;DR: Holographic astigmatic PTV (HAPTV) as discussed by the authors was proposed by inserting a cylindrical lens in the optical setup of DIH-PTV, generating distorted holograms.
Journal ArticleDOI

Stereoscopic PIV measurements using low-cost action cameras

TL;DR: In this article, the use of two low-cost action cameras for stereoscopic planar particle image velocimetry (PIV) has been presented, where a continuous wave laser or alternatively an LED was used for illumination and pulsed by a frequency generator.
Journal ArticleDOI

Evaluation of airborne image velocimetry approaches using low-cost uavs in riverine environments

TL;DR: This work presents a comparison of three Airborne Image Velocimetry approaches: BASESURV, Fudaa-LSPIV and RIVeR and finds all the codes are found to be effective in performing Airborne image Velcimetry in riverine environments.
Journal ArticleDOI

Side-by-side entrainment and displacement of cuboids due to a tsunami-like wave.

TL;DR: In this article, a unique set of flume experiments was designed and conducted at the Hydraulic Laboratory of the Department of Civil Engineering at the University of Ottawa, Canada, where shipping containers modelled as cuboids at the 1:40 geometric scale were entrained by a dam-break wave with different hydrodynamic conditions and initial configurations.
References
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Journal ArticleDOI

The Design and Implementation of FFTW3

TL;DR: It is shown that such an approach can yield an implementation of the discrete Fourier transform that is competitive with hand-optimized libraries, and the software structure that makes the current FFTW3 version flexible and adaptive is described.
Book

Particle Image Velocimetry: A Practical Guide

TL;DR: In this paper, the authors present a practical guide for the planning, performance and understanding of experiments employing the PIV technique, which is primarily intended for engineers, scientists and students, who already have some basic knowledge of fluid mechanics and nonintrusive optical measurement techniques.
Journal ArticleDOI

Particle-Imaging Techniques for Experimental Fluid Mechanics

TL;DR: A review of these methods can be found in articles by Lauterborn & Vogel (1984), Adrian (1986a), Hesselink (1988), and Dudderar et al..
Journal ArticleDOI

Adaptive histogram equalization and its variations

TL;DR: It is concluded that clipped ahe should become a method of choice in medical imaging and probably also in other areas of digital imaging, and that clip ahe can be made adequately fast to be routinely applied in the normal display sequence.
Journal ArticleDOI

Digital Particle Image Velocimetry

TL;DR: In this article, the directional ambiguity associated with PIV and LSV is resolved by implementing local spatial cross-correlations between two sequential single-exposed particle images, and the recovered velocity data are used to compute the spatial and temporal vorticity distribution and the circulation of the vortex ring.
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