PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB
William Thielicke,Eize Stamhuis +1 more
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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.read more
Citations
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Analyzing Glacier Surface Motion Using LiDAR Data
TL;DR: Light detection and ranging data collected from surveys over six glaciers in Greenland and Antarctica was applied to temporally-spaced point clouds to detect and measure surface motion, and particle image velocimetry (PIV) results were found to be in good agreement with other, widely accepted, measurement techniques.
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Shallow water entry: modeling and experiments
TL;DR: In this article, the authors present a theoretical and experimental framework to investigate shallow water entry, in the context of the two-dimensional water impact of a wedge, and the resulting mixed boundary value problem is analytically solved to determine the velocity potential, free surface elevation, and pressure field.
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LSPIV Measurements of Two-Dimensional Flow Structure in Streams Using Small Unmanned Aerial Systems: 1. Accuracy Assessment Based on Comparison With Stationary Camera Platforms and In-Stream Velocity Measurements
Journal ArticleDOI
Modeling of aerosol transmission of airborne pathogens in ICU rooms of COVID-19 patients with acute respiratory failure.
Cyril Crawford,Emmanuel Vanoli,Baptiste Decorde,Maxime Lancelot,Camille Duprat,Christophe Josserand,Jonathan Jilesen,Lila Bouadma,Jean-François Timsit +8 more
TL;DR: In this paper, a 3D Computational Fluid Dynamics model based on a Lattice Boltzmann Method was used to simulate the air flows as well as the movement of numerous airborne particles produced by a patient's cough within an ICU room under negative pressure.
References
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Journal ArticleDOI
The Design and Implementation of FFTW3
Matteo Frigo,Steven G. Johnson +1 more
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
Stephen M. Pizer,Stephen M. Pizer,E. Philip Amburn,E. Philip Amburn,John D. Austin,Robert Cromartie,Ari Geselowitz,Ari Geselowitz,Trey Greer,Bart M. ter Haar Romeny,John B. Zimmerman,John B. Zimmerman +11 more
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
Christian Willert,Morteza Gharib +1 more
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.