On an Improved Physics-Based Optical Flow Method to Enhance the Robustness of Particle Image Velocimetry

ZHENG Jia; WANG Hongyan; PEI Binnan

doi:10.3969/j.issn.1671-637x.2018.10.013

Journals >Electronics Optics & Control >Volume 25 >Issue 10 >Page 62 > Article

Electronics Optics & Control
Vol. 25, Issue 10, 62 (2018)

On an Improved Physics-Based Optical Flow Method to Enhance the Robustness of Particle Image Velocimetry

ZHENG Jia, WANG Hongyan, and PEI Binnan

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[in Chinese]

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DOI: 10.3969/j.issn.1671-637x.2018.10.013 Cite this Article

ZHENG Jia, WANG Hongyan, PEI Binnan. On an Improved Physics-Based Optical Flow Method to Enhance the Robustness of Particle Image Velocimetry[J]. Electronics Optics & Control, 2018, 25(10): 62 Copy Citation Text

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References

[7] DRULEA M, NEDEVSCHI S.Total variation regularization of local-global optical flow［C］//International IEEE Conference on Intelligent Transportation Systems, 2011:318-323.

[8] KUMAR P, KUMAR S, BALASUBRAMANIAN R.A fractional order total variation model for the estimation of optical flow［C］//Computer VisionPattern Recognition, Ima-ge Processing and Graphics, IEEE, 2016:1-4.

[9] LIU T, SHEN L.Fluid flow and optical flow［J］.Journal of Fluid Mechanics, 2008, 614:253-291.

[11] BOBROW D G.“Determining optical flow”:a retrospective［M］.Cambridge:MIT Press, 1994:81-87.

[12] WANG B, CAI Z M, SHEN L X, et al.An analysis of physics-based optical flow［J］.Journal of Computational and Applied Mathematics, 2015, 276:62-80.

[13] PERONA P, MALIK J.Scale-space and edge detection using anisotropic diffusion［J］.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 12(7):629-639.

ZHENG Jia, WANG Hongyan, PEI Binnan. On an Improved Physics-Based Optical Flow Method to Enhance the Robustness of Particle Image Velocimetry[J]. Electronics Optics & Control, 2018, 25(10): 62

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