Affiliations: Department of Marine System Engineering, Osaka
Prefecture University, Sakai, Osaka, 599-8531 Japan
Abstract: Present paper describes the principle and applications of a velocity
measurement using statistical analysis of visualized flow images. The authors
have developed a new algorithm for the measurement using the passing
probability of a particle. It is known that this kind methods gives the total
flow speed at each pixel unit. In this study, the method is extended by forming
the governing equation using the Lagrange's differentiation. The process is
similar to the so-called spatio-temporal derivative method. The extension of
the equation enables to measure the velocity components with the help of the
statistical technique. The idea is based on the fact that the temporal
derivative of luminance function is proportional to the vector product of the
flow velocity and the gradient of luminance function in space which gives the
velocity component normal to the edge of particle image. This is easy to apply
on the three-dimensional flow field.