For the purpose of better digestibility, the grains are pre-ground. The compliance of the crushed grain with the requirements of GOST is carried out by sieving it and determining the granulometric composition using the gravimetric method. We have developed a method for estimating the granulometric composition of crushed grain based on the analysis of its image using the controlled watershed method. This method allows you to distinguish even touching grains in the image, which is extremely important in the granulometric analysis of mixtures with high concentrations of components. Due to the presence of particles with a significant size variation in grain samples, it is necessary to evaluate the particle size ratio of the crushed grain on the quality of image segmentation, which is what the work is devoted to. To do this, particles of crushed grain were taken from sieves with hole diameters of 0.2 to 3 mm and laid out on a sheet of paper in rows according to their size. Next, photographing was carried out, and the linear particle sizes were determined using the developed program. For photographic equipment with the characteristics specified in the article, the minimum allowable particle sizes have been determined, at which successful segmentation is achieved. Numerical experiment has established the relations between the particles, in which segmentation is successfully implemented for all components represented in the image. Separately, for particles which sizes exceed the limits of the method accuracy, the Feret diameters and their areas were calculated: the results obtained differ significantly from the true values, due to the small number of pixels per small component. Methods are proposed that will further help to ensure acceptable measurement accuracy even for such particles.
granulometric composition, diameter, crushed grain, image, recognition quality, watershed method, size, sieving, segmentation, particle
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