Published March 13, 2026
| Version v1
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ANALYSIS OF IDENTIFICATION AND RECOGNITION OF COLOR IMAGES
Authors/Creators
- 1. (Associate Professor, Department of "Information Systems and Technologies", Tashkent State Agrarian University, Ph.D.)
- 2. (Tashkent State Agrarian University, Department of Storage and Processing of Agricultural Products, students of groups 24-37)
- 3. Tashkent State Agrarian University, Department of Storage and Processing of Agricultural Products, students of groups 24-37
Description
In order for the vision system of the robot eye analyzer to recognize all colors like the human eye, robots must be so developed that they can fully identify all 14 colors like the human eye. It is necessary to create an array of sequences for comparing the desired color with other color images in the color database (DB), create recognition criteria, an algorithm and software.
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Additional details
References
- Decree No. PF-60 of the President of the Republic of Uzbekistan dated January 28, 2022 "On the development strategy of the new Uzbekistan for 2022-2026". www. lex.uz.
- Babi M. S. Image recognition and two-dimensional wavelet analysis. M. S. Babi, A. P. Chekalov // Vysnik Sumskogo Derjavnogo University. Series Tekhnichnicheskii science. -2012.-No. 1.-str. 20–24.
- Efimova M.R. Multiple correlation. - M.: Izd-vo MIU, 1984.
- Zaynidinov H.N., Turapov U.U. Multi-criteria dispersion method in forming a set of informative parameters. //Fergana Polytechnic Institute. Journal of scientific technology. ISSN 2181-7200,
- Rastrigin L.A., Khamdamov R., Turapov U.U. Mnogokriterialnaya statisticheskaya otsenka informativnosti kolichestvennyx priznakov. // Production automation: Сб. Nauch. tr. TGTU im. A.R. Beruni. - Tashkent, 1991. - S. 113-115.