TY - JOUR

T1 - Software tools for cell walls segmentation in microphotography

AU - Abdikerimova, Gulzira Bakhitbekovna

AU - Murzin, Feodor Alexandrovich

AU - Bychkov, Aleksey Leonidovich

AU - Tussupov, Jamalbek

AU - Khayrulin, Sergey

AU - Xinyu, W. E.I.

AU - Rybchikova, Elena Ivanovna

N1 - Publisher Copyright: © 2005 – ongoing JATIT & LLS.

PY - 2018/8/15

Y1 - 2018/8/15

N2 - 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.

AB - 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.

KW - Agglomerative Method

KW - Electron Microscopy

KW - Herbal Raw Material

KW - Image Processing

KW - K-Means Method

KW - Microphotography Analysis

KW - R/S-Analysis

KW - Textural Features

UR - http://www.scopus.com/inward/record.url?scp=85051936528&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85051936528

VL - 96

SP - 4783

EP - 4793

JO - Journal of Theoretical and Applied Information Technology

JF - Journal of Theoretical and Applied Information Technology

SN - 1992-8645

IS - 15

ER -