Dabiri, Dana. <br/><br/>
Particle Tracking Velocimetry. 

 - 1st ed. 
 - 1 online resource (211 pages) 
 - IOP Ebooks Series .
 - IOP Ebooks Series .
<br/><br/>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. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9780750341783 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Particle image velocimetry.<br/>Particle tracking velocimetry.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>TA357.5.M43 D335 2020 
<br/><br/><label>Dewey Class. No.: </label>620.1064