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The problems of constructing modified recognition operators are considered taking into account the high dimensionality of the feature space. As a basic algorithm, models of recognition algorithms based on radial functions are considered. The main idea of the model of modified recognition operators is the formation of independent subsets of interrelated objects and the allocation of basic objects for each subset of tightly coupled objects. A distinctive feature of the proposed model of algorithms is to determine the appropriate set of distance functions when building a model of discriminating operators. To test the performance of the proposed object model, experimental studies were carried out in solving a number of problems. The main advantage of the proposed recognition operators is the improvement of accuracy and a significant reduction in the volume of computational operations in recognition of unknown objects, which allows them to be used in the construction of recognition systems operating in real time.

The problem of the development of eye diseases in people employed in hazardous industries, including the oil industry, remains relevant in Azerbaijan, as the health protection of the working population is a priority. This paper presents the results of a study on the impact of the severity of working conditions in the modern oil industry of Azerbaijan on the occurrence of conjunctival and cornea diseases. The objective of the study is to assess the working environment at the enterprises of oil and gas production profile of the State Oil Company of the Azerbaijan Republic (SOCAR) in terms of their impact on the occurrence of eye diseases. In total, 1852 employees from 13 SOCAR enterprises, who are willing to voluntarily participate in the study, were selected by random systematic sampling. The research was conducted in 2018-2019. According to the obtained data, 55.5% of workplaces in the enterprises belong to class A (optimal working conditions). However, in such industries as “Oil Rocks” and “Siyazan Oil”, on average, 30% of workplaces belong to a high hazard class C. Conjunctival and corneal pathologies were detected in 33% of all workers during the study. There was a statistically significant difference in the character of the conjunctival and corneal diseases, depending on the severity of working conditions. The percentage of occurrence of dry eye syndrome was significant in all conditions of labour severity and ranged from 65 to 79%. The majority of participants employed in the production group of “Class C – heavy working conditions” had a high incidence of conjunctivitis of various aetiologies (18%). To reduce the occurrence of conjunctival and corneal diseases, it is recommended to adhere to preventive measures for employees working in difficult working environment.

The article deals with the problem of segmentation of digital images, which is one of the main tasks in the field of digital image processing (IP) and computer vision. To solve this problem, an algorithm was proposed based on the use of a concept based on the theory of fuzzy sets. The main idea of the proposed algorithm is the formation of subsets of interconnected pixels based on the fuzzy-to-mean method. A distinctive feature of the proposed algorithm is the definition of a set of features that define areas with similar characteristics in the space of the characteristic features of the analyzed image. The proposed segmentation algorithm (SA) consists of two stages: 1) the formation of characteristic features for all channels of the base color; 2) clustering of image elements. The practical significance of the obtained results lies in the fact that the developed models of algorithms can be used in various applied problems, where the classification of objects represented as images is provided. To test the efficiency of the developed algorithm, experimental studies were carried out in solving a number of applied problems related to color image segmentation, in particular, license plate recognition problems.