Particle Tracking Velocimetry.
Dabiri, Dana.
Particle Tracking Velocimetry. - 1st ed. - 1 online resource (211 pages) - IOP Ebooks Series . - IOP Ebooks Series .
Intro -- Author biographies -- Dana Dabiri -- Charles Pecora -- Chapter 1 Introduction -- References -- Chapter 2 Experimental set-up -- 2.1 Tracer particles -- 2.1.1 Tracers in liquid flows -- 2.1.2 Tracers in subsonic gas flows -- 2.1.3 Tracers in supersonic flows -- 2.2 Illumination -- 2.3 Area/volume illumination optics -- 2.4 Camera -- References -- Chapter 3 Particle image identification -- 3.1 Non-overlapped particles -- 3.1.1 Threshold binarization -- 3.1.2 Centroid estimation -- 3.1.3 Gaussian estimation -- 3.2 Overlapped particles -- 3.2.1 Threshold binarization -- 3.2.2 Neural network particle identification -- 3.2.3 Particle mask correlation -- 3.2.4 Optical flow feature extraction -- 3.2.5 Linear model inversion -- 3.3 Particle identification comparison -- 3.3.1 Non-overlapped particle identification comparison -- 3.3.2 Overlapped particle identification comparison -- References -- Chapter 4 Identification of particles' spatial locations -- 4.1 Spatial location in 2D -- 4.2 Spatial localization in 3D -- 4.2.1 Photogrammetric PTV -- 4.2.2 Tomographic PTV -- 4.2.3 Synthetic aperture PTV -- 4.2.4 Plenoptic imaging -- 4.2.5 Holographic PTV -- 4.3 Optical distortions and calibration in PTV systems -- 4.3.1 2D calibration -- 4.3.2 Stereoscopic calibration -- 4.3.3 3D calibration -- References -- Chapter 5 Particle tracking techniques -- 5.1 Multi-frame approach -- 5.2 Cross correlation -- 5.3 Relaxation methods -- 5.4 Neural networks -- 5.5 Velocity gradient tensor -- 5.6 Polar-coordinate similarity -- 5.7 Optimization methods -- 5.7.1 Deterministic annealing -- 5.7.2 Variational approach -- 5.7.3 Genetic algorithms -- 5.7.4 Ant colony optimization -- 5.7.5 Fuzzy logic PTV -- 5.8 Delaunay tessellation methods -- 5.9 Voronoi diagram methods -- 5.10 Vision-based PTV -- 5.11 Statistical approach -- 5.12 Outlier detection -- References. Chapter 6 Combined tracking and localization for 3D PTV -- 6.1 Shake-the-box -- References -- Chapter 7 3D-PTV comparison -- References -- Chapter 8 Post-processing -- 8.1 Interpolation -- 8.2 Pressure calculation -- References -- Chapter 9 Conclusions -- References.
Particle tracking velocimetry (PTV) is one of the latest and most powerful flow visualization techniques, using numerous cameras to track flow tracers in two or three dimensions. This book provides a review of both experimental and computational aspects of PTV for academic and industrial researchers and engineers.
9780750341783
Particle image velocimetry.
Particle tracking velocimetry.
Electronic books.
TA357.5.M43 D335 2020
620.1064
Particle Tracking Velocimetry. - 1st ed. - 1 online resource (211 pages) - IOP Ebooks Series . - IOP Ebooks Series .
Intro -- Author biographies -- Dana Dabiri -- Charles Pecora -- Chapter 1 Introduction -- References -- Chapter 2 Experimental set-up -- 2.1 Tracer particles -- 2.1.1 Tracers in liquid flows -- 2.1.2 Tracers in subsonic gas flows -- 2.1.3 Tracers in supersonic flows -- 2.2 Illumination -- 2.3 Area/volume illumination optics -- 2.4 Camera -- References -- Chapter 3 Particle image identification -- 3.1 Non-overlapped particles -- 3.1.1 Threshold binarization -- 3.1.2 Centroid estimation -- 3.1.3 Gaussian estimation -- 3.2 Overlapped particles -- 3.2.1 Threshold binarization -- 3.2.2 Neural network particle identification -- 3.2.3 Particle mask correlation -- 3.2.4 Optical flow feature extraction -- 3.2.5 Linear model inversion -- 3.3 Particle identification comparison -- 3.3.1 Non-overlapped particle identification comparison -- 3.3.2 Overlapped particle identification comparison -- References -- Chapter 4 Identification of particles' spatial locations -- 4.1 Spatial location in 2D -- 4.2 Spatial localization in 3D -- 4.2.1 Photogrammetric PTV -- 4.2.2 Tomographic PTV -- 4.2.3 Synthetic aperture PTV -- 4.2.4 Plenoptic imaging -- 4.2.5 Holographic PTV -- 4.3 Optical distortions and calibration in PTV systems -- 4.3.1 2D calibration -- 4.3.2 Stereoscopic calibration -- 4.3.3 3D calibration -- References -- Chapter 5 Particle tracking techniques -- 5.1 Multi-frame approach -- 5.2 Cross correlation -- 5.3 Relaxation methods -- 5.4 Neural networks -- 5.5 Velocity gradient tensor -- 5.6 Polar-coordinate similarity -- 5.7 Optimization methods -- 5.7.1 Deterministic annealing -- 5.7.2 Variational approach -- 5.7.3 Genetic algorithms -- 5.7.4 Ant colony optimization -- 5.7.5 Fuzzy logic PTV -- 5.8 Delaunay tessellation methods -- 5.9 Voronoi diagram methods -- 5.10 Vision-based PTV -- 5.11 Statistical approach -- 5.12 Outlier detection -- References. Chapter 6 Combined tracking and localization for 3D PTV -- 6.1 Shake-the-box -- References -- Chapter 7 3D-PTV comparison -- References -- Chapter 8 Post-processing -- 8.1 Interpolation -- 8.2 Pressure calculation -- References -- Chapter 9 Conclusions -- References.
Particle tracking velocimetry (PTV) is one of the latest and most powerful flow visualization techniques, using numerous cameras to track flow tracers in two or three dimensions. This book provides a review of both experimental and computational aspects of PTV for academic and industrial researchers and engineers.
9780750341783
Particle image velocimetry.
Particle tracking velocimetry.
Electronic books.
TA357.5.M43 D335 2020
620.1064