ALGORITHMS FOR FEATURE EXTRACTION AND OPTIMISATION OF OBJECT RECOGNITION OPERATOR

Authors

Hudayberdiev Xakkulmirzayevich Mirzaakbar, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi. Tashkent, Uzbekistan. E-mail: mirzaakbarhh@gmail.com;Follow
Bobomurod Mamitjonovich Tojiboev, Andijan State University. E-mail: bobomurodtm@gmail.com;Follow
Feruza Komiljonovna Samadova, Tashkent University of Information Technologies named after Muhammad al-Khwarizmi. Tashkent, Uzbekistan. E-mail: feruzaa.samadova@gmail.com.Follow

Abstract

This paper deals with the development and analysis of feature extraction and optimisation algorithms for object recognition operators. Different algorithms are used to improve the efficiency of recognition operators in the automatic analysis of remote sensing images. The information model of objects and methods for selecting, extracting and optimising their features have been studied. The issue of extracting important features of objects using spectral, textural and statistical features and constructing optimal operators based on them has also been studied. Effective approaches based on the theory of convex hulls and multidimensional analysis methods have been proposed, taking into account the mutual compensation properties of operators.

The proposed algorithms aim at increasing the accuracy of object classification and are used to improve the process of object recognition in remote sensing images. The results can be used in artificial intelligence and machine learning technologies and have broad applications in agriculture, ecology, urban planning and natural resource monitoring.

First Page

46

Last Page

54

References

1. Kamilov, M.M., Hudayberdiev, M.Kh., Khamroev, A. Sh. (2010). Module for various choice of metric attribute spaces. Proceedings of the Sixth World Conference on Intelligent Systems for Industrial Automation. November 25-27. Tashkent, 213-215.
2. Kamilov, M., Hudayberdiev, M., Khamroev, A. (2018). The procedure for defining the best recognition module of the algorithms for calculating estimates. Techno-Societal 2018: Proceedings of the 2 nd International Conference on Advanced Technologies for Societal Applications. Springer, Cham. 25-32. https://doi.org/10.1007/978-3-030-16848-3_3.
3. Kamilov, M.M., Khudaiberdiev, M.Kh. (2018). Algorithm for selecting reference objects of the training sample. Materials of the XVIII International Scientific and Methodological Conference “Informatics: problems, methodology, technologies”. February 8-9, Voronezh, 138-143.
4. Kamilov, M., Hudayberdiev, M. (2019). Algebraic correction of algorithms for recognition and identification of biological objects in data mining problems. Chemical technology. Control and Management, 6(90), 30-36.
5. Hudayberdiev, M.Kh., Hamroev, A.Sh. (2011). On the Procedures of Forming the Optimal Parameters of the Recognition Systems. International Conference of KIMICS 2011. June 28-29, Tashkent, 337-339.
6. Nurmukhamedov, T., Hudayberdiev, M., Koraboshev, O. Z., Sodikov, S., Hudayberdiev, K. (2023). Algorithms and methods of using intelligent systems in fire safety. Proceedings of the International Conference on Artificial Intelligence, Blockchain, Computing and Security (ICABCS 2023), February 24 - 25, India. DOI: 10.1201/9781032684994-98.
7. Mirzaev, N.M. (2018). Modified recognition operators based on radial functions. Problems of computational and applied mathematics. 1. 100-106.
8. Hudaiberdiev, M.Kh., Khamroev, A.Sh. (2014). On the relationship of parameters in models of algorithms for calculating estimates. Intelligent Systems (INTELS’-2014): Tenth International Symposium. June 30 - July 4. Moscow, 49-52.
9. Fazilov, Sh.Kh., Mirzaev, N.M., Radjabov, S.S., Mirzaeva, G.R. (2019). Determination of representative features when building an extreme recognition algorithm. Journal of Physics: Conference Series. 1260. 1-8.
10. Zhuravlev, Yu.I. (1978). On the algebraic approach to solving problems of recognition or classification. Problems of cybernetics. 33. 5-68.
11. Zhuravlev, Yu.I. (1988). On algebraic methods in problems of recognition and classification. Recognition, classification, forecast. 1. 9-16.
12. Zhuravlev, Yu.I. (1998). Selected scientific works. M.: "Magister", 420 p.

Recommended Citation

Mirzaakbar, Hudayberdiev Xakkulmirzayevich; Tojiboev, Bobomurod Mamitjonovich; and Samadova, Feruza Komiljonovna (2025) "ALGORITHMS FOR FEATURE EXTRACTION AND OPTIMISATION OF OBJECT RECOGNITION OPERATOR," Chemical Technology, Control and Management: Vol. 2025: Iss. 2, Article 7.
DOI: https://doi.org/10.59048/2181-1105.1678