1995
DOI: 10.1007/bf00192228
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Image correlation velocimetry

Abstract: This paper focuses on the correlation of two successive scalar images for the purpose of measuring imaged fluid motions. A method is presented for deforming, or transforming, one image to another. Taylor series expansions of the Lagrangian displacement field are used, in conjunction with an integral form of the equations of motion, to approximate this transformation. The proposed method locally correlates images for displacements, rotations, deformations, and higher order displacement gradient fields, and appl… Show more

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Cited by 147 publications
(78 citation statements)
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“…By averaging the CCD signal over horizontal rows of pixels, we are able to measure accurately the time, t, and height, z, dependence of the volume fraction, ϕ(z, t), with a spatial resolution of about 100 µm. We obtain the evolution of the local sedimentation velocity profiles, v(z, t), using an Image Correlation Velocimetry (ICV) algorithm [20] that we apply to rectangular Regions Of Interest (ROIs) of the CCD images corresponding to the width of the sample and a height ∆z = 0.5 mm. To quantify the microscopic dynamics, we measure space and time-resolved intensity correlation functions (ICFs) [19],…”
mentioning
confidence: 99%
“…By averaging the CCD signal over horizontal rows of pixels, we are able to measure accurately the time, t, and height, z, dependence of the volume fraction, ϕ(z, t), with a spatial resolution of about 100 µm. We obtain the evolution of the local sedimentation velocity profiles, v(z, t), using an Image Correlation Velocimetry (ICV) algorithm [20] that we apply to rectangular Regions Of Interest (ROIs) of the CCD images corresponding to the width of the sample and a height ∆z = 0.5 mm. To quantify the microscopic dynamics, we measure space and time-resolved intensity correlation functions (ICFs) [19],…”
mentioning
confidence: 99%
“…Among those attempts Tokumaru & Dimotakis (1995) proposed a semilocal approach (Ritz method see section 3.1.2) -involving a parametric cubic model and insuring a global spatial consistency-appropriate for both scalar and particle images. The integral form (7) of the equation of motion (6) is employed in this method.…”
Section: First-and Second-order Regularization Robust Normsmentioning
confidence: 99%
“…• image deformation techniques (Astarita, 2007;2008;Jambunathan et al, 1995;Lecuona et al, 2002;Nogueira et al, 1999;Nogueira, Lecuona, Rodriguez, Alfaro & Acosta, 2005;Scarano, 2004;Schrijer & Scarano, 2008;Tokumaru & Dimotakis, 1995), where the entire images are deformed accordingly to the assumed velocity field before the sub-division into interrogation windows to be correlated, also using different image interpolation techniques.…”
Section: Introductionmentioning
confidence: 99%