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OpenOpticalFlow_PIV: An Open Source Program Integrating Optical Flow Method with Cross- Correlation Method for Particle Image Velocimetry

Authors: Liu, Tianshu; Salazar, David M.;

OpenOpticalFlow_PIV: An Open Source Program Integrating Optical Flow Method with Cross- Correlation Method for Particle Image Velocimetry

Abstract

OpenOpticalFlow_PIV is an open source Matlab program integrating the optical flow method with the cross-correlation method for extraction of high-resolution velocity fields from particle images with large displacements. This hybrid method provides an additional tool to process PIV images, which combines the advantages of the optical flow method and cross-correlation method and overcomes the intrinsic issues of the two methods. The principles of the hybrid method are concisely described, including the cross-correlation method for initial coarse-grained estimation and the optical flow method for refined high-resolution estimation. This paper gives more detailed descriptions of the main program, relevant subroutines and selection of the relevant parameters for computation. Examples are given to demonstrate applications of the hybrid method.

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Keywords

optical flow, PIV, QA76.75-76.765, matlab, particle image velocimetry, fluid mechanics, aerodynamics, optical flow; cross-correlation; particle image velocimetry; Matlab, cross-correlation, Computer software, optical flow method, cross-correlation method

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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20
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