Wavelet-based optical flow analysis for background-oriented schlieren image processing
BE Schmidt, MR Woike - AIAA Journal, 2021 - arc.aiaa.org
A wavelet-based optical flow analysis (wOFA) method for processing background-oriented
schlieren (BOS) images is presented and demonstrated on synthetic and experimental data …
schlieren (BOS) images is presented and demonstrated on synthetic and experimental data …
Estimating density, velocity, and pressure fields in supersonic flows using physics-informed BOS
We report a new workflow for background-oriented schlieren (BOS), termed “physics-
informed BOS,” to extract density, velocity, and pressure fields from a pair of reference and …
informed BOS,” to extract density, velocity, and pressure fields from a pair of reference and …
An unsupervised deep learning model for dense velocity field reconstruction in particle image velocimetry (PIV) measurements
W Zhang, X Dong, Z Sun, S Xu - Physics of Fluids, 2023 - pubs.aip.org
Supervised deep learning methods reported recently have shown promising capability and
efficiency in particle image velocimetry (PIV) processes compared to the traditional cross …
efficiency in particle image velocimetry (PIV) processes compared to the traditional cross …
Fast and robust volumetric refractive index measurement by unified background-oriented schlieren tomography
SJ Grauer, AM Steinberg - Experiments in Fluids, 2020 - Springer
We propose a novel approach to background-oriented schlieren (BOS) tomography (BOST)
that unifies the deflection sensing and reconstruction algorithms. BOS is a 2D flow …
that unifies the deflection sensing and reconstruction algorithms. BOS is a 2D flow …
A comparative study of optical flow methods for fluid mechanics
We present a benchmark study of Optical Flow (OpF) methods for fluid mechanics
applications. It is aimed at assessing the performance of three OpF methods, Lucas and …
applications. It is aimed at assessing the performance of three OpF methods, Lucas and …
Improvements in the accuracy of wavelet-based optical flow velocimetry (wOFV) using an efficient and physically based implementation of velocity regularization
BE Schmidt, JA Sutton - Experiments in Fluids, 2020 - Springer
This manuscript details recent improvements in a wavelet-based optical flow velocimetry
(wOFV) method that represents a more physically sound implementation and results in …
(wOFV) method that represents a more physically sound implementation and results in …
An accurate optical flow estimation of PIV using fluid velocity decomposition
J Lu, H Yang, Q Zhang, Z Yin - Experiments in Fluids, 2021 - Springer
In this study, we propose a novel optical flow formulation for estimating high-accuracy
velocity fields from tracer particle image sequences. According to the Helmholtz velocity …
velocity fields from tracer particle image sequences. According to the Helmholtz velocity …
Megahertz-rate background-oriented schlieren tomography in post-detonation blasts
The understanding and predictive modeling of explosive blasts require advanced
experimental diagnostics that can provide information on local state variables with high …
experimental diagnostics that can provide information on local state variables with high …
Pyramidal deep-learning network for dense velocity field reconstruction in particle image velocimetry
W Zhang, X Nie, X Dong, Z Sun - Experiments in Fluids, 2023 - Springer
Particle image velocimetry (PIV) is a broadly used technique in fluid dynamics experiments.
Traditional velocity derivation algorithms, eg, the cross-correlation-based WIDIM (widow …
Traditional velocity derivation algorithms, eg, the cross-correlation-based WIDIM (widow …
[HTML][HTML] piv-image-generator: An image generating software package for planar PIV and Optical Flow benchmarking
We describe a generator of synthetic images of tracers in turbulent flows to benchmark
Particle Image Velocimetry and Optical Flow algorithms. Generated flows include: uniform …
Particle Image Velocimetry and Optical Flow algorithms. Generated flows include: uniform …