Application of informative textural Laws masks methods for processing space images
Yessenova M. Abdikerimova G. Murzabekova G. Nurbol K. Glazyrina N. Adikanova S. Uzakkyzy N. Sadirmekova Z.B. Niyazova R.
August 2023Institute of Advanced Engineering and Science
International Journal of Electrical and Computer Engineering
2023#13Issue 44557 - 4566 pp.
Image processing systems are currently used to solve many applied problems. The article is devoted to the identification of negative factors affecting the growth of grain in different periods of harvesting, using a program implemented in the MATLAB software environment, based on aerial photographs. The program is based on the Laws textural mask method and successive clustering. This paper presents the algorithm of the program and shows the results of image processing by highlighting the uniformity of the image. To solve the problem, the spectral luminance coefficient (SBC), normalized difference vegetation index (NDVI), Laws textural mask method, and clustering are used. This approach is general and has great potential for identifying objects and territories with different boundary properties on controlled aerial photographs using groups of images of the same surface taken at different vegetation periods. That is, the applicability of sets of Laws texture masks with original image enhancement for the analysis of experimental data on the identification of pest outbreaks is being investigated.
Clustering , Image processing , Laws textural masks , Normalized difference vegetation index , Orthogonal transformation , Satellite images
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Department of Information Systems, Faculty of Information Technology, L. N. Gumilyov Eurasian National University, Astana, Kazakhstan
Department of Computer Sciences, Faculty of Information Technology, S. Seifullin kazakh Agrotechnical University, Astana, Kazakhstan
Department of Engineering Technology and Transport, Sh. Ualikhanov Kokshetau University, Kokshetau, Kazakhstan
Department of Computer and Software Engineering, Faculty of Information Technology, L. N. Gumilyov Eurasian National University, Astana, Kazakhstan
Higher School of IT and Natural Sciences, Sarsen Amanzholov East Kazakhstan University, Ust-Kamenogorsk, Kazakhstan
Department of Information Systems, Faculty of Information Technology, M. H. Dulaty Taraz Regional University, Taraz, Kazakhstan
Department of Theoretical Computer Sciences, Faculty of Information Technology, L. N. Gumilyov Eurasian National University, Astana, Kazakhstan
Department of Information Systems
Department of Computer Sciences
Department of Engineering Technology and Transport
Department of Computer and Software Engineering
Higher School of IT and Natural Sciences
Department of Information Systems
Department of Theoretical Computer Sciences
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