A methodology has been developed for optimizing the identification, recognition, and classification of micro-objects based on dynamic models combined with neural networks with tools for filtering impulse interference and noise, foreign particles, and other defects of image points; the methods and models of which are used in the systems of palynology, ecology, environmental protection, medicine, and other fields of knowledge. Identification mechanisms have been developed, including tools for contour extraction, segmentation, obtaining segment boundaries with hard and soft thresholds, and filtering using morphological characteristics of the image. Estimates of identification errors due to inadequacy of approximation, interpolation, and extrapolation of the image contour have been obtained. A software package for recognizing and classifying images of micro-objects has been developed, in which cubic, biquadratic, and interpolation spline functions and wavelet transformation have been synthesized.
| Mualliflar | Жуманов, И.И., Сафаров, Р.А., Джуманов, О.И. |
|---|---|
| Jurnal | Рақамли технологияларнинг назарий ва амалий масалалари |
| Nashr sanasi | 2025-04-06 |
| Jild | 8 |
| Son | 1 |
| Betlar | 105-113 |
| Til | Rus |
| DOI | 10.62132/ijdt.v8i1.238 |
DOI: 10.62132/ijdt.v8i1.238 · Maqolaning asl sahifasi
изображение, микрообъект, идентификация, распознавание, классификация, фильтрация, эффективность, программный комплекс, image, micro-object, identification, recognition, classification, filtering, efficiency, software package
This article proposes a conceptual approach to optimizing decision-making processes in Business Intelligence systems based on the Pareto-optimal approach and the concept of self-adaptive agents. Business Intelligence…
This article focuses on developing a mathematical model intended for monitoring, forecasting, and guiding management decisions related to environmental protection in the surface layer of the atmosphere. The article…
This article analyzes the vulnerabilities of the A5/1 stream cipher algorithm and proposes two new approaches to attack it. The first method is based on reconstructing the values of registers by analyzing the…
This study addresses the problem of detecting and correcting spelling errors in Uzbek texts. Due to the complex morphological structure and agglutinative nature of the Uzbek language, traditional spell-checking methods…
In this article, a comparative analysis of various materials used in the manufacture of antenna devices is carried out. During the analysis, the properties of traditional, composite, and metamaterials were studied, and…
The article discusses the development of an algorithm and software for calculating the hydraulic resistance coefficient of complex gas pipeline systems. The methodology for selecting the initial data, the mathematical…
Natural Language Processing (NLP) has witnessed remarkable advancements in recent years, driven by the development of sophisticated algorithms and models such as GPT-4, T5, and BERT. These models have revolutionized the…
In this article developed a numerical algorithm for solving a multidimensional mathematical model of joint heat and moisture transfer processes in heterogeneous porous bodies shaped as rectangular parallelepipeds. The…
The article considers the problem of forecasting changes in groundwater levels using numerical methods based on a three-dimensional nonlinear mathematical model. The model takes into account factors affecting the…
Modeling of nonlinear filtration processes in multilayer heterogeneous porous media is a complex area that combines various mathematical and physical principles to understand the dynamics of fluid in porous structures…
Рақамли технологияларнинг назарий ва амалий масалалари — barcha maqolalar