An optical flow-based method for velocity field of fluid flow estimation

Głomb, Grzegorz; Świrniak, Grzegorz; Mroczka, Janusz

doi:10.1117/12.2270086

Cited by 4 publications

(4 citation statements)

References 14 publications

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“…There are many water surface velocity measurement methods, including in-situ measurement and remote sensing [ 2 , 3 , 4 , 5 , 6 , 7 ]. These methods are promising complementary approaches for observing flow fields in small and large areas.…”

Section: Introductionmentioning

confidence: 99%

“…A general theory for Doppler centroid measurements was proposed for ocean surface velocity measurements from space in 2005 [ 3 ]. Glomb et al proposed a flow velocity estimation method, based on the particle image velocimetry (PIV) technique [ 7 ], but the accuracy of the calculated velocity field is limited. Underwater particle image velocimetry and acoustic Doppler velocimetry were used together for speed measurement [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

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An Integrated Interferometric Fiber Optic Sensor Using a 638 nm Semiconductor Laser for Air-Water Surface Velocity Measurements

Song

Zhang

Li-li

et al. 2023

Sensors

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An integrated interferometric fiber optic velocimetry sensor has been proposed and demonstrated at the central wavelength of 638 nm. The sensor is based on the principle of two laser-beams’ interference. The light signal scattered from the particles or vapor is demodulated to measure the water surface velocity and water vapor velocity. Three velocity measurement experiments are carried out to measure the velocity, and the experimental data shows that the velocity increases linearly in the range of 4 mm·s−1 to 100 mm·s−1, with a slope of linear fitting curve of 0.99777 and the R-Square of 1.00000. The velocity calculated from frequency shift fits well with the reference velocity. The maximum average relative error in the three velocity measurements is less than 2.5%. In addition, the maximum speed of 4.398 m·s−1 is confirmed in the rotating disk calibration experiment, which expands the sensor’s velocity measurement range. To solve the problem that it is difficult to directly measure the velocity of small-scale water surface flow velocity, especially from the aspect of the low velocity of air-water surface, the interferometric fiber optic sensor can be applied to the measurement of water surface velocity and wind velocity on the water surface.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Integrated Interferometric Fiber Optic Sensor Using a 638 nm Semiconductor Laser for Air-Water Surface Velocity Measurements

Song

Zhang

Li-li

et al. 2023

Sensors

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“…Optical flow and/or other registration-based interpolators have proven useful in interpolating velocimetry data in the past [26–37]. Particle Image Velocimetry (PIV) is a technique that measures a velocity field in a fluid volume with the help of tracer particles in the fluid and specialized cameras [38, 39].…”

Section: Introductionmentioning

confidence: 99%

An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation

Kanberoglu

Das

Nair

et al. 2019

International Journal of Biomedical Imaging

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Three-dimensional (3D) biomedical image sets are often acquired with in-plane pixel spacings that are far less than the out-of-plane spacings between images. The resultant anisotropy, which can be detrimental in many applications, can be decreased using image interpolation. Optical flow and/or other registration-based interpolators have proven useful in such interpolation roles in the past. When acquired images are comprised of signals that describe the flow velocity of fluids, additional information is available to guide the interpolation process. In this paper, we present an optical-flow based framework for image interpolation that also minimizes resultant divergence in the interpolated data.

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“…Optical flow and/or other registration-based interpolators have proven useful in interpolating velocimetry data in the past [26][27][28][29][30][31][32][33][34][35][36][37]. Particle Image Velocimetry (PIV) is a technique that measures a velocity field in a fluid volume with the help of tracer particles in the fluid and specialized cameras [38,39].…”

Section: Introductionmentioning

confidence: 99%

An optical flow-based approach for the interpolation of minimally divergent velocimetry data

Kanberoglu

Nair

2017

2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

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An optical flow-based method for velocity field of fluid flow estimation

Cited by 4 publications

References 14 publications

An Integrated Interferometric Fiber Optic Sensor Using a 638 nm Semiconductor Laser for Air-Water Surface Velocity Measurements

An Integrated Interferometric Fiber Optic Sensor Using a 638 nm Semiconductor Laser for Air-Water Surface Velocity Measurements

An Optical Flow-Based Approach for Minimally Divergent Velocimetry Data Interpolation

An optical flow-based approach for the interpolation of minimally divergent velocimetry data

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