Research output: Contribution to journal › Article › peer-review
Software tools for cell walls segmentation in microphotography. / Abdikerimova, Gulzira Bakhitbekovna; Murzin, Feodor Alexandrovich; Bychkov, Aleksey Leonidovich et al.
In: Journal of Theoretical and Applied Information Technology, Vol. 96, No. 15, 15.08.2018, p. 4783-4793.Research output: Contribution to journal › Article › peer-review
}
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 -
ID: 18200197