1989
DOI: 10.1364/ao.28.004328
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Particle tracking velocimetry: an automatic image processing algorithm

Abstract: A quantitative full-field velocity measurement technique involving imaging of displaced particles in a fluid is described. In this paper a fully automatic image processing procedure is developed to extract velocity vectors from flow visualization images. Flow visualization images are generated using special illumination coding which allows determination of both velocity magnitude and direction. The utility of this technique for detecting well-defined flow structures in a flow is demonstrated.

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Cited by 42 publications
(9 citation statements)
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“…Two separate image analysis algorithms were used to extract velocities from the PTV images. These were: (1) a fully automated procedure (Khalighi and Lee 1989) and (2) a user friendly menu driven procedure Huebler t988, Adamczyk andRimai 1988, Marko andRitual 1985). Due to a large number of particles in the flow fields the second algorithm was used extensively for the present study.…”
Section: Mirror Fimentioning
confidence: 99%
“…Two separate image analysis algorithms were used to extract velocities from the PTV images. These were: (1) a fully automated procedure (Khalighi and Lee 1989) and (2) a user friendly menu driven procedure Huebler t988, Adamczyk andRimai 1988, Marko andRitual 1985). Due to a large number of particles in the flow fields the second algorithm was used extensively for the present study.…”
Section: Mirror Fimentioning
confidence: 99%
“…The sequence of images obtained by the camera to determine the method of identifying objects on the images to use is analyzed [11][12][13]. It states that Thresholding is the best way to identify the cylinders.…”
Section: Graphic Pathmentioning
confidence: 99%
“…Because the direction of ow is determined by the scanning order of the two-colour beam, the ow velocity is calculated by the cross-correlation value of the blue and green beams. The cross-correlation values were obtained by equation ( 3), which uses the Weiner-Khinchin theorem [7] and the calculated Fourier transformation 2 times…”
Section: Two-colour Piv Algorithmmentioning
confidence: 99%