Open AccessDETECTION OF BLOOD CELLS
Author(s) -
Glib Tereshchenko,
Г.Г. Четвериков,
І. Конарієва
Publication year - 2019
Publication title -
bionika intellekta
Language(s) - English
Resource type - Journals
eISSN - 2663-306X
pISSN - 2663-3051
DOI - 10.30837/bi.2019.1(92).05
Subject(s) - brightness , histogram , blood smear , artificial intelligence , computer vision , computer science , pattern recognition (psychology) , field (mathematics) , blood cell , image (mathematics) , mathematics , pathology , medicine , physics , optics , immunology , malaria , pure mathematics
The structure of the medical image analysis system is considered. The algorithm of the blood cell recognition system is given. Formulated the main tasks to be solved during the morphological analysis of blood. The requirements for the algorithm in determining the leukocyte formula and the detection of blood corpuscles on a smear were determined. A model of color-brightness characteristics is proposed for describing typical images of a blood smear. The threshold values of the sizes of objects are determined when searching for cells. A histogram of the brightness of a typical field of view was investigated. A two-step algorithm for detecting blood cells is described, as well as an algorithm for constructing a dividing line on the plane of relative colors. The results of experiments on real preparations are given. The causes of detection errors are considered.