图像分析与处理理论、方法和算法。俄罗斯科学院信息传输问题研究所（哈尔科维奇研究所）图像学实验室研究综述

IF 0.7 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS PATTERN RECOGNITION AND IMAGE ANALYSIS Pub Date : 2023-12-01 DOI:10.1134/s1054661823040119

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引用次数: 0

摘要

摘要对俄罗斯科学院信息传输问题研究所图像学实验室自成立以来的发展进行了历史和分析回顾。文中讨论了实验室的主要研究领域，包括图像模型、视频数据分析和处理的空间和频率方法、失真消除、图像分解和增强、物体检测、图像分割等问题；所开发方法在行星空间图像处理中的应用；构建专业图像处理系统等问题。

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Image Analysis and Processing Theory, Methods, and Algorithms. Review of Research at the Iconics Laboratory of the Institute for Information Transmission Problems of the Russian Academy of Sciences (Kharkevich Institute)

Abstract

A historical and analytical review is given of the development of the Iconics Laboratory at the Institute for Information Transmission Problems of the Russian Academy of Sciences since the establishment of the Institute. The main research areas of the laboratory are discussed including image models, spatial and frequency methods of video data analysis and processing, issues of distortion elimination, image decomposition and enhancement, object detection, image segmentation; application of the developed methods for processing space images of planets; issues of constructing specialized image processing systems, and others.

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来源期刊

PATTERN RECOGNITION AND IMAGE ANALYSIS Computer Science-Computer Graphics and Computer-Aided Design

CiteScore

1.80

自引率

20.00%

发文量

期刊介绍： The purpose of the journal is to publish high-quality peer-reviewed scientific and technical materials that present the results of fundamental and applied scientific research in the field of image processing, recognition, analysis and understanding, pattern recognition, artificial intelligence, and related fields of theoretical and applied computer science and applied mathematics. The policy of the journal provides for the rapid publication of original scientific articles, analytical reviews, articles of the world''s leading scientists and specialists on the subject of the journal solicited by the editorial board, special thematic issues, proceedings of the world''s leading scientific conferences and seminars, as well as short reports containing new results of fundamental and applied research in the field of mathematical theory and methodology of image analysis, mathematical theory and methodology of image recognition, and mathematical foundations and methodology of artificial intelligence. The journal also publishes articles on the use of the apparatus and methods of the mathematical theory of image analysis and the mathematical theory of image recognition for the development of new information technologies and their supporting software and algorithmic complexes and systems for solving complex and particularly important applied problems. The main scientific areas are the mathematical theory of image analysis and the mathematical theory of pattern recognition. The journal also embraces the problems of analyzing and evaluating poorly formalized, poorly structured, incomplete, contradictory and noisy information, including artificial intelligence, bioinformatics, medical informatics, data mining, big data analysis, machine vision, data representation and modeling, data and knowledge extraction from images, machine learning, forecasting, machine graphics, databases, knowledge bases, medical and technical diagnostics, neural networks, specialized software, specialized computational architectures for information analysis and evaluation, linguistic, psychological, psychophysical, and physiological aspects of image analysis and pattern recognition, applied problems, and related problems. Articles can be submitted either in English or Russian. The English language is preferable. Pattern Recognition and Image Analysis is a hybrid journal that publishes mostly subscription articles that are free of charge for the authors, but also accepts Open Access articles with article processing charges. The journal is one of the top 10 global periodicals on image analysis and pattern recognition and is the only publication on this topic in the Russian Federation, Central and Eastern Europe.