Results 191 to 200 of about 5,720 (223)

Particle-tracking velocimetry with new algorithms

Measurement Science and Technology, 2000
New algorithms for particle-tracking velocimetry are proposed and tested with typical particle images showing two-dimensional fluid flows. There are new ideas not only in the algorithm of the particle tracking itself but also in that of the individual-particle detection.
Kazuo Ohmi, Hang-Yu Li
openaire   +1 more source

APPLYING FEATURE TRACKING TO PARTICLE IMAGE VELOCIMETRY

International Journal of Pattern Recognition and Artificial Intelligence, 2003
Particle Image Velocimetry (PIV) is a popular approach to flow visualization and measurement in hydro- and aerodynamic studies and applications. The fluid is seeded with particles that follow the flow and make it visible. Traditionally, correlation techniques have been used to estimate the displacements of the particles in a digital PIV sequence ...
openaire   +1 more source

Mapping mean and fluctuating velocities by Bayesian multipoint MR velocity encoding‐validation against 3D particle tracking velocimetry

Magnetic Resonance in Medicine, 2014
Purpose To validate Bayesian multipoint MR velocity encoding against particle tracking velocimetry for measuring velocity vector fields and fluctuating velocities in a realistic aortic model.
Verena Knobloch, Christian Binter, Utku Gulan   +2 more
exaly   +2 more sources

New Particle Tracking Velocimetry

1999
Particle Image Velocimetry (PIV) is a non-intrusive optical measurement method to capture flow velocity fields. It provides the simultaneous visualisation of the two-dimensional streamline pattern in unsteady flows and the quantification of the velocity field over a plane. To reveal the flow motion, the flow is seeded by small scattering particles. The
A Baldassarre, M de Lucia, P Nesi, F Rossi   +3 more
openaire   +1 more source

Two-dimensional particle displacement tracking in particle imaging velocimetry

Applied Optics, 1991
A new particle imaging velocimetry data acquisition and analysis system, which is an order of magnitude faster than any previously proposed system, has been constructed and tested. The new particle displacement tracking (PDT) system is an all electronic technique employing a video camera and a large memory buffer frame-grabber board.
openaire   +2 more sources

Particle Image Velocimetry by Feature Tracking

2001
Particle Image Velocimetry (PIV) is a popular approach to flow visualisation in hydro- and aerodynamic studies and applications. The fluid is seeded with particles that follow the flow and make it visible. Traditionally, correlation techniques have been used to estimate the displacements of the particles in a digital PIV sequence.
openaire   +1 more source

Particle tracking velocimetry: an automatic image processing algorithm

Applied Optics, 1989
A quantitative full-field velocity measurement technique involving imaging of displaced particles in a fluid is described. In this paper a fully automatic image processing procedure is developed to extract velocity vectors from flow visualization images.
B, Khalighi, Y H, Lee
openaire   +2 more sources

Particle Tracking Velocimetry Using Cellular Neural Network

The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006
Recent advances in digital image processing techniques, electronic and optical hardware have facilitated the investigation of fluid mechanics among the others. Flow visualization is the indispensable tool in the investigation of complex flow structures.
Kazuo Ohmi, Achyut Sapkota
openaire   +1 more source

Particle Tracking Velocimetry (PTV)

1996
Particle Tracking Velocimetry (PTV) is one of the oldest measuring techniques in fluid mechanics. It is often called low particle number density Particle Image Velocimetry (PIV) (Adrian, 1991). The two methods have indeed in common that they determine the velocity from the displacement of particles in a moving fluid during a prescribed time interval ...
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New tracking algorithm for particle image velocimetry

Experiments in Fluids, 1995
The cross correlation tracking technique is widely used to analyze image data, in Particle Image Velocimetry (PIV). The technique assumes that the fluid motion, within small regions of the flow field, is parallel over short time intervals. However, actual flow fields may have some distorted motion, such as rotation, shear and expansion.
K. Okamoto, Y. A. Hassan, W. D. Schmidl
openaire   +1 more source