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Automatic Identification of Drops in Images of Agitated Liquid-Liquid Dispersion

E. F. Gomes, L.M.R. Bras, M.M.M. Ribeiro


In this paper we present an algorithm that identifies circular drops of different sizes in monochromatic digitized frames of a liquid-liquid chemical process. These image frames were obtained at our Laboratory, using a non-intrusive process, with a digital video camera, a microscope, and an illumination setup from a dispersion of toluene in water within a transparent mixing vessel. Here we describe in detail the two-phase approach used for the automatic identification of the drops in images of the chemical process, which employs a Hough transform. Empirical evaluation on an independent set of images shows promising results for the automatic classification of the drops.


liquid-liquid systems, image processing, drop size distributions

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