Software tools for cell walls segmentation in microphotography

Gulzira Bakhitbekovna Abdikerimova, Feodor Alexandrovich Murzin, Aleksey Leonidovich Bychkov, Jamalbek Tussupov, Sergey Khayrulin, W. E.I. Xinyu, Elena Ivanovna Rybchikova

Результат исследования: Научные публикации в периодических изданияхстатья

1 Цитирования (Scopus)

Аннотация

This article provides an analysis of how textural areas are segmented on the microphotography in the image processing systems. A comparative description of the main methods is provided. The purpose of our research is to develop and find algorithms for analyzing the textural characteristic of images and the segmentation of textural features obtained using the transmission electron microscopy using software, established under Treaty No. 16-13-10200/2. Work has been done for the Institute of solid state chemistry and mechanochemistry of the Siberian branch of the Russian Academy of Sciences. The focus is on the development of software tools of choice and the creation of features that describe texture differences; of selection and segmentation of the textural areas; of classifying textural areas and identifying the texture object to analyze the above-named microphotographs. The question of the applicability of textural sets to analyse experimental data in order to identify in the microphotography the patterns that could be linked in the future to porousness, chemical reactiveness, etc. Suitable algorithms have been selected and appropriate software tools have been established at Matlab and in the software package for statistical analysis of Statistica.

Язык оригиналаанглийский
Страницы (с-по)4783-4793
Число страниц11
ЖурналJournal of Theoretical and Applied Information Technology
Том96
Номер выпуска15
СостояниеОпубликовано - 15 авг 2018

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  • Цитировать

    Abdikerimova, G. B., Murzin, F. A., Bychkov, A. L., Tussupov, J., Khayrulin, S., Xinyu, W. E. I., & Rybchikova, E. I. (2018). Software tools for cell walls segmentation in microphotography. Journal of Theoretical and Applied Information Technology, 96(15), 4783-4793.