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Image processing technique for hydraulic application
J. Tellez-Alvareza, M. Gomeza, B. Russob a Institute FLUMEN, Department of Civil and Environmental Engineering, Technical University of Catalonia BarcelonaTech
b Group of Hydraulics and Environmental Engineering, Technical College of La Almunia (University of Zaragoza)
Abstract:
In this paper, we present techniques Surface Flow Image Velocimetry (SFIV) that is a practical extension of Particle Image Velocimetry method (PIV). In particular, this technique is to evaluate the behavior on the surface flow for complex flow. SFIV allows to measure complex surface velocity fields for engineering applications. The objective of this work was the application of the SFIV technique to determine the velocity fields and their hydraulic efficiency of grated inlet, making a comparison between the programs able to correlate images like Digiflow or PIVlab program.
Keywords:
Digiflow, PIVlab, image processing, grated inlet, MATLAB, Particle Image Processing (PIV), Surface Flow Image Velocimetry (SFIV).
Citation:
J. Tellez-Alvarez, M. Gomez, B. Russo, “Image processing technique for hydraulic application”, Proceedings of ISP RAS, 29:6 (2017), 289–298
Linking options:
https://www.mathnet.ru/eng/tisp288 https://www.mathnet.ru/eng/tisp/v29/i6/p289
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Abstract page: | 192 | Full-text PDF : | 65 | References: | 25 |
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