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Image processing for the experimental investigation of dense dispersed flows: application to bubbly flows

Rueda Villegas, Lucia and Colombet, Damien and Guiraud, Pascual and Legendre, Dominique and Cazin, Sébastien and Cockx, Arnaud Image processing for the experimental investigation of dense dispersed flows: application to bubbly flows. (2019) International Journal of Multiphase Flow, 111. 16-30. ISSN 0301-9322

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Official URL: https://doi.org/10.1016/j.ijmultiphaseflow.2018.10.017


In this work an image processing technique is proposed to improve the measurement of ellipsoidal ob- jects, such as bubbles in dispersed flows. This novel algorithm devoted to the measurement of bubble size, shape and trajectory is applied to binarised images from a gray-level gradient filter. To improve data statistics, an ellipse fitting method is employed to take into account truncated bubbles at the image edges. Then, an original approach is proposed to enable the segmentation of overlapping bubbles. The complete algorithm is evaluated on synthetic images and on real images for an air-bubble swarm within water. This new and robust methodology enables to increase substantially (more than 40%) the number of bubbles detected and thus to improve data convergence.

Item Type:Article
HAL Id:hal-02139287
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Institut National de la Recherche Agronomique - INRA (FRANCE)
Université de Toulouse > Institut National des Sciences Appliquées de Toulouse - INSA (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Laboratory name:
Deposited On:27 Mar 2019 10:59

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