Published May 1995 | Version public
Journal Article

Image correlation velocimetry

  • 1. ROR icon California Institute of Technology

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 applies a global minimization procedure to insure a global consistency in the results. An integral form of the equations of motion is employed. No explicit spatial or temporal differentiation of the image data is required in estimating the displacement field. As a consequence, this method is appropriate for both continuous-scalar as well as discrete-particle-image data. Successive two-dimensional digital CCD images of fluid motion marked with dye, are used to verify the capabilities of the method. The utility of the method is also illustrated using a pair of Voyager 2 images of Jupiter.

Additional Information

© 1995 Springer. We would like to acknowledge the support of this effort by AFOSR Grant Nos. 90-0304 and F49620-92-J-0290, and a joint contract with M. Gharib by DARPA/Navy Grant No. N00014-91-J-1968. We would also like to acknowledge the many contributions by Dan Lang in the development and integration of the image-data acquisition systems employed in these investigations. Finally, we would like to thank Stewart (Andy) Collins and the Detector Advanced Development group of the Imaging Systems Section, at JPL, for their collaboration.

Additional details

Identifiers

Eprint ID
67625
Resolver ID
CaltechAUTHORS:20160602-181135884

Funding

Air Force Office of Scientific Research (AFOSR)
90-0304
Air Force Office of Scientific Research (AFOSR)
F49620-92-J-0290
Office of Naval Research (ONR)
N00014-91-J-1968
Defense Advanced Research Projects Agency (DARPA)

Dates

Created
2016-06-04
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Updated
2021-11-11
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