Abstract
An improved correlation based Particle Tracking Velocimetry (PTV) algorithm was proposed in the present paper. The path tracking of the tracer particles was achieved through a correlation operation of the small interrogation window around the studied tracer particles at two-time steps. The central positions of the tracer particles were determined by the correlation operation of the tracer particle image with a Gaussian particle mask in order to improve the accuracy to identify the central positions of particles up to sub-pixel level. The performance of the present improved correlation based Particle Tracking Velocimetry (PTV) algorithm was evaluated by using both synthetic VSJ standard PIV images and actual PIV images of a self-induced sloshing. Compared with other conventional PTV methods, the present improved correlation based PTV algorithm was found to be able to provide better solution and more robust for suppression the effect of background noise in the PIV images.
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Tetsuo Saga: He works at the Institute of Industrial Science, The University of Tokyo. His research field is Mechanical Engineering. Flow visualization and its image analysis, prediction and control of flow induced vibration, automobile aerodynamics are his main research works. His current research interests are in micro- and bio-flow analysis by using PIV.
Toshio Kobayashi: He received his Ph. D. in Mechanical Engineering at The University of Tokyo in 1970. After completion of his Ph. D. program, he has been a faculty member of Institute of Industrial Science, The University of Tokyo, and currently is a Professor. His research interests are numerical analysis of turbulence, especially Large Eddy Simulation (LES) and Particle Imaging Velocimetry (PIV) technique. He serves as the President of the Visualization Society of Japan (VSJ), President-elect of the Japan Society of Mechanical Engineers (JSME), and Executive Vice President of the Society of Automotive Engineers of Japan (JSAE).
Shigeki Segawa: He is a Technical Associate at the Institute of Industrial Science, The University of Tokyo. He graduated from Kogakuin University in Mechanical Engineering in 1977. His research interests include development of PIV image analysis program and optical diagnostics.
Hui Hu: He is a Research Associate in the Turbulent Mixing and Unsteady Aerodynamics Laboratory at Michigan State University. He got his Ph. D. in Aerospace from Beijing University of Aeronautics and Astronautics (BUAA) in 1996. He has been a JSPS Research Fellow at the Institute of Industrial Science, The University of Tokyo from 1997 to 2000. His research interests include aerodynamics jets, mixing enhancement and optical diagnostics.
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Saga, T., Kobayashi, T., Segawa, S. et al. Development and evaluation of an improved correlation based PTV method. J Vis 4, 29–37 (2001). https://doi.org/10.1007/BF03182453
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DOI: https://doi.org/10.1007/BF03182453