Метод сегментации перекрывающихся форменных элементов крови на микроскопических медицинских изображениях

Рассматривается решение задачи эритроцитометрии с использованием методов компьютерного зрени

Метод сегментации форменных элементов крови на микроскопических медицинских изображениях

Метод сегментации форменных элементов крови на микроскопических медицинских изображениях / В. М. Михелев [ и др.] // Информационные технологии в науке, образовании и производстве (ИТНОП-2020) : сб. материалов VIII междунар. науч.-техн. конф., Белгород, 24-25 сент. 2020 г. / М-во науки и высшего образования РФ, НИУ БелГУ ; отв. ред. Е. В. Болгова. - Белгород, 2020. - С. 327-330. - Библиогр.: с. 330.В статье рассматривается решение задачи эритроцитометрии с использованием методов компьютерного зрения. Предложен комбинированный подход для извлечения контурных доказательств, который основан на обнаружении вогнутых точек с помощью анализа кривизны, использовании проверки на вогнутость и эффективной процедуры поиск

An efficient algorithm for overlapping bubbles segmentation

Image processing is an effective method for characterizing various two-phase gas/liquid flow systems. However, bubbly flows at a high void fraction impose significant challenges such as diverse bubble shapes and sizes, large overlapping bubble clusters occurrence, as well as out-of-focus bubbles. This study describes an efficient multi-level image processing algorithm for highly overlapping bubbles recognition. The proposed approach performs mainly in three steps: overlapping bubbles classification, contour segmentation and arcs grouping for bubble reconstruction. In the first step, we classify bubbles in the image into a solitary bubble and overlapping bubbles. The purpose of the second step is overlapping bubbles segmentation. This step is performed in two subsequent steps: at first, we classify bubble clusters into touching and communicating bubbles. Then, the boundaries of communicating bubbles are split into segments based on concave point extraction. The last step in our algorithm addresses segments grouping to merge all contour segments that belong to the same bubble and circle/ellipse fitting to reconstruct the missing part of each bubble. An application of the proposed technique to computer generated and high-speed real air bubble images is used to assess our algorithm. The developed method provides an accurate and computationally effective way for overlapping bubbles segmentation. The accuracy rate of well segmented bubbles we achieved is greater than 90 % in all cases. Moreover, a computation time equal to 12 seconds for a typical image (1 Mpx, 150 overlapping bubbles) is reached

Measurement and Analysis of Bubble Size Distribution in the Electrochemical Stirred Tank Reactor

The dimensions of bubbles were measured in a stirrer tank electrochemical reactor, where the analysis of the bubble size distribution has a substantial impact on the flow dynamics. The high-speed camera and image processing methods were used to obtain a reliable photo. The influence of varied air flow rates (0.3; 0.5; 1 l/min) on BSD was thoroughly investigated. Two types of distributors (cubic and circular) were examined, and the impact of various airflow rates on BSD was investigated in detail. The results showed that the bubbles for the two distributors were between 0.5 and 4.5 mm. For both distributors at each airflow, the Sauter mean diameter for the bubbles was calculated. According to the results, as the flow rate raised, the bubble size for cubic distributors increased from 2.35 to 2.41 mm and for circular distributors from 2.76 to 2.88 mm

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

International audienc

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

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

Heat and mass transfer mechanisms in a wet scrubber

Ahmed Abdulwahid studied the wet scrubber that is used to improve the underground environment and to reduce the mining cost. He found that the three analyses that consist of experiments, thermodynamic and heat transfer analyses of the scrubber approved that the liquid temperature had a major effect on the heat loss from the scrubber. Increasing the inlet gas Reynolds number and/or temperature ratio affected the scrubber performance. Ahmed Abdulwahid suggested a new design of the wet scrubber to solve the existing problem of the high relative humidity of the outlet gas. This reduces the mining cost and improves the mining environment