Analysis of color properties of raster images of histological microspecimens: own research experience
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Date
2022
Authors
Ivanova, Mariia
Myroshnychenko, Mykhailo
Khara, Georgy
Arseniev, Oleksandr
Olkhovsky, Vasil
Grygorian, Edgar
Fedulenkova, Yuliya
Kozlov, Sergii
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Abstract
This study is aimed to develop a computer program to analyze the color propertiesof raster images of histological microspecimens used in pathological anatomy and forensic medicine. When developing a computer program, we used the system for building client applications – Windows Presentation Foundation (WPF). The system allows you to create applications with visually attractive user interaction capabil ties. The programming language is C#, as well as basic graphics capabilities of the .NET Framework system are used. To speed up the display we applied double buffering. In the course of the research, the authors developed a modern computer program «Analysis of color properties of raster images». This program allows you to analyze the color of each individual pixel of a photograph in RGB and Lab color models, comparing the colors and brightness of individual pixels, selecting groups of points and determining statistical characteristics of them. Characteristic points are well distinguishable in the photographs, studied with the program «Analysis of color properties of raster images». This makes it possible to select and automate these properties, using computer recognition algorithms, completely removing human factor’s influence on the analysis results. The computer program «Analysis of color properties of raster images» is of significant scientific and practical interest for specialists both in the field of morphology (pathologists, forensic experts, etc.), and in the field of other biomedical disciplines.
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Keywords
analysis, color properties, raster image, microspecimen, computer program
Citation
Analysis of color properties of raster images of histological microspecimens: own research experience / M. D. Ivanova, M. S. Myroshnychenko, G. I. Khara, O. V. Arseniev, V. O. Olkhovsky, Yu. Ya. Fedulenkova, S. V. Kozlov // Medicni perspektivi. – 2022. – № 27 (1). – P. 9–15.