Results 151 to 160 of about 18,937 (195)
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Particle Tracking Velocimetry using the genetic algorithm
Journal of Visualization, 2009A new concept genetic algorithm (GA) has been implemented and tested for the use in the 2-D and 3-D Particle Tracking Velocimetry (PTV). The algorithm is applicable to particle images with larger (greater than 2000) number of particles without losing the excellent accuracy in the particle matching results.
Kazuo Ohmi, Sanjeeb Prasad Panday
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Particle design for displacement tracking velocimetry
Measurement Science and Technology, 1995Particle displacement tracking velocimetry is used to obtain full-field minimally invasive velocity measurement of natural convective flow in multiple immiscible liquid layers. The quality of the obtained signals depends very much on the particles used.
T Schmitt, J N Koster, H Hamacher
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A variational approach for particle tracking velocimetry
Measurement Science and Technology, 2005We introduce a novel variational approach for evaluating PTV image pairs and sequences in two and three dimensions. We combine a discrete non-differentiable particle matching term with a continuous regularization term. An advanced mathematical method guarantees convergence to a local minimum.
P Ruhnau, C Guetter, T Putze, C Schnörr
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Particle Tracking Velocimetry in Noisy Environment
Volume 1: Fluid Applications and Systems; Fluid Measurement and Instrumentation, 2020Abstract The encoded Particle Tracking Velocimetry (ePTV) is introduce in this paper as a specific approach of Particle Tracking Velocimetry (PTV). This method is applied to track particles obtained from flow images that contain significant background noise and relatively low particle density.
Seyedmohammad Mousavisani +3 more
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Particle-tracking velocimetry with new algorithms
Measurement Science and Technology, 2000New 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
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Magnetic characterization of paramagnetic reagents by particle tracking velocimetry
Review of Scientific Instruments, 2021Magnetic particle characterization determines the quality of magnetic particles and is of great importance in particle technology, drug delivery, cell separation, in vivo diagnostics, and other biomedical applications. The quality of the sample depends on the particle size, intrinsic magnetic properties of the particles, and the uniformity of these ...
Abhinav Sannidhi +2 more
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APPLYING FEATURE TRACKING TO PARTICLE IMAGE VELOCIMETRY
International Journal of Pattern Recognition and Artificial Intelligence, 2003Particle 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 ...
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New Particle Tracking Velocimetry
1999Particle 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 +3 more
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Two-dimensional particle displacement tracking in particle imaging velocimetry
Applied Optics, 1991A 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.
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Particle Image Velocimetry by Feature Tracking
2001Particle 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.
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