Abstract
A 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. This is mainly due to a new fitness function as well as unique genetic operations devised especially for the purpose of particle matching problem. The new fitness function is based on the relaxation of movement of a group of particles and is particularly suited for an increased density of particle images. The unique genetic operations give rise to the concentration of more fit genes in the forward part of the gene strings where the crossover and mutation processes are suppressed. The new algorithm also profits from the new genetic encoding scheme which can deal with the loss-of-pair particles (i.e., those particles which exist in one frame but do not have their matching pair in the other frame), a typical problem in the real image particle tracking velocimetry. In the present study, the new method is tested with 2-D and 3-D synthetic as well as real particle images with a large number of particles.
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Kazuo Ohmi (Member) was born in Osaka, Japan. He’s date of birth is September 19th, 1951. He received his M.Sc. in mechanical engineering from Osaka University, Japan in 1979. He received his Ph.D. in energetic from Université de Poitiers, France in 1987. He also received doctoral degree in mechanical engineering from Osaka University in 1991. He worked in Laboratoire de Mécanique des Fluides, Université de Poitiers, France, as a visiting researcher from 1984 to 1987. He is currently a professor in Department of Information Systems Engineering, Osaka Sangyo University, Japan. He was in Politecnico di Torino, Italy, as a visiting researcher from 1999 to 2000. His research interests are quantitative visualization, PIV, PTV, Holographic PIV, wakes and vortices, applied artificial intelligence, visualization of art and music and so on. Prof. Ohmi is a member of various professional societies including IEEE, IEICE, American Society of Mechanical Engineers, American Physical Society and Visualization Society of Japan etc.
Sanjeeb Prasad Panday (Student-member) was born in Kathmandu, Nepal. He’s date of birth is June 4th, 1976. He received the Bachelors Degree in electrical engineering from University of Engineering and Technology, Lahore, Pakistan in 2001 and Masters Degree in information and communication engineering from Tribhuvan University, Nepal in 2006. He is currently pursuing a Doctoral Degree in information systems engineering at the graduate school of engineering, Osaka Sangyo University, Japan. He has been working as an assistant professor in the Department of Electronics and Computer Engineering at Institute of Engineering, Pulchowk Campus, Tribhuvan University, Pulchowk, Lalitpur, Nepal since 2002. He is currently on the study leave from Tribhuvan University for his higher studies. His research interests include image processing, digital holography, algorithms and their application to flow field measurements. Mr. Panday is now a member of Visualization Society of Japan and IEEE.
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Ohmi, K., Panday, S.P. Particle Tracking Velocimetry using the genetic algorithm. J Vis 12, 217–232 (2009). https://doi.org/10.1007/BF03181860
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DOI: https://doi.org/10.1007/BF03181860