Journal of the Visualization Society of Japan
Online ISSN : 1884-037X
Print ISSN : 0916-4731
ISSN-L : 0916-4731
Improvernent of PTV by using a Recursive Cross-Correlation Method
Tetsuo SagaShigeki SegawaToshio Kobayashi
Author information
JOURNAL FREE ACCESS

2001 Volume 21 Issue 2Supplement Pages 47-50

Details
Abstract
An improved Particle Tacking velocimetry (PTV) algorithm was proposed in the present paper. The path tracking of the traced particle was achieved through a recursive cross-correlation operation of small interrogation window around the studied particles at two time steps. The particles are tracked by using grid points velocities calculated by the recursive cross-correlation method. To reduce the tracking error, a variable interrogation window size setting which changed with the interrogation window size according with spatial density of particles was introduced to the recursive cross-correlation method. The performance of the improved algorithm is evaluated by the synthetic particle images.
Content from these authors
© The Visualization Society of Japan
Previous article Next article
feedback
Top