Access Restriction

Author Nishio, S. ♦ Okuno, T.
Source SpringerLink
Content type Text
Publisher Springer-Verlag
File Format PDF
Copyright Year ©1998
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations
Subject Keyword PIV ♦ statistical analysis ♦ spatio-temporal derivative ♦ flow velocity measurement ♦ wake measurement ♦ Engineering Fluid Dynamics ♦ Computer Imaging, Vision, Pattern Recognition and Graphics ♦ Classical Continuum Physics ♦ Engineering Thermodynamics, Heat and Mass Transfer
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.
ISSN 13438875
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1998-01-01
Publisher Place Berlin, Heidelberg
e-ISSN 18758975
Journal Journal of Visualization
Volume Number 1
Issue Number 2
Page Count 10
Starting Page 161
Ending Page 170

Open content in new tab

   Open content in new tab
Source: SpringerLink