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http://dx.doi.org/10.6109/jkiice.2018.22.10.1327

Velocity Field Estimation using Karman Vortex Images  

Kim, Hyeong-kwon (Department of Computer Engineering, Kyung-Sung University)
Kim, Jin-woo (Department of Information and Communication Engineering, Kyung-Sung University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.10, 2018 , pp. 1327-1333 More about this Journal
Abstract
Numerical analysis has the advantage that no actual flow pathways need to be formulated, making this technique especially useful for simulation analysis such as pathway design. However, it does require that the complete physical parameters of the fluid and the complete boundary conditions be known. If any of them are unknown, either the calculation will become impossible, or even if the calculation does converge, the reliability of the result will be low. Therefore, a means of more accurate acquisition of flow information is required. In this paper, we present techniques for estimating flow field from a constraint equation for image information and velocity field, based on the image intensity changes accompanying the motion of dye in waterway. In the equation, we entered a stabilizing term to suppress estimation error. We show the effectiveness of our method through experiments with generated and real images of a Karman vortex.
Keywords
Vortex; Velocity field; Spatio-temporal image; Fluid model; Image processing;
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