Segmentation of aggregated elements in dispersive formations using the Voronoy diagram

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Authors:

Т.А. Ruzova, Cand. Sci. (Tech.), O. Gonchar Dnepropetrovsk National University, Senior Research Scientist of Research Laboratory of Fluid Mechanics and Heat-Mass Exchange Processes Modeling, Dnipropetrovsk, Ukraine

 

V.I. Yeliseyev, Cand. Sci. (Phys.-Math.),Senior Research Scientist, Dnepropetrovsk National University of O. Gonchar, Senior Research Scientist of Research Laboratory of Fluid Mechanics and Heat-Mass Exchange Processes Modeling, Dnepropetrovsk, Ukraine

 

A.P. Tolstopyat, Cand. Sci. (Tech.), Senior Research Fellow, O. Gonchar Dnepropetrovsk National University, Senior Research Scientist of Research Laboratory of Fluid Mechanics and Heat-Mass Exchange Processes Modeling, Dnipropetrovsk, Ukraine

L.A. Fleyer, O. Gonchar Dnepropetrovsk National University, Senior Research Scientist of Research Laboratory of Fluid Mechanics and Heat-Mass Exchange Processes Modeling, Dnipropetrovsk, Ukraine

Abstract:

The presence of aggregated structures is one of the main problems arising in determining dispersion degree of emulsions and other fine-grained materials.

Purpose. To create a method for segmentation of aggregated structures of spherical particles in dispersive formations, allowing us to process aggregates including internal objects, which contours are located entirely within the aggregate; without restrictions on components number; and without using the concept of aggregate convexity deficit; it makes it possible to process units of complex configuration.

Methodology. The new method includes several steps: filtering the image and converting it to monochrome mode; evaluating coordinates of aggregate’s boundary points; contour correcting to eliminate possible contour discontinuities at image binarization; particles markers setting according to glares on particles surfaces; and aggregate’s area distribution between the forming particles according to the Voronoy diagram. Particles centers and radii are determined by the area of corresponding diagram cell.

Method operation was illustrated on model aggregates. We presented the graphic of dependence of aggregate separation accuracy on components overlap degree. The processing of aggregates in case of internal objects was also illustrated. We showed an example of processing of the image fragment of real emulsion type II (water in oil).

Findings. The method allows segmentation of aggregated structures of spherical particles (emulsion drops) in dispersive formations.

Originality. We have designed the method for aggregated elements of dispersed formations decomposition by means of investigated objects marking.

Practical value. The method may be used to design systems for measuring dispersion degree of emulsions and other fine-grained mediums.

References:

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