Development of Computer Vision, Image Processing, and Analysis at the Digital Optics Laboratory of the Institute for Information Transmission Problems of the Russian Academy of Sciences

IF 0.7 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

PATTERN RECOGNITION AND IMAGE ANALYSIS Pub Date : 2023-12-01 DOI:10.1134/s1054661823040223

引用次数: 0

Abstract

Optical and digital images are one of the most important channels for transmitting information. At the Institute for Information Transmission Problems of the Russian Academy of Sciences (IITP RAS), this topic has always, since the founding of the institute, been given the closest attention. The institute’s employees have made significant contributions to both the domestic and global science of image processing. In this work, the authors touched only on the main stages of the development of the theory, methods, and algorithms for image processing and analysis in the Laboratory of Digital Optics of the Institute for Information Transmission Problems of the Russian Academy of Sciences.

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俄罗斯科学院信息传输问题研究所数字光学实验室计算机视觉、图像处理和分析的发展情况

摘要光学和数字图像是信息传输的最重要渠道之一。自俄罗斯科学院信息传输问题研究所（IITP RAS）成立以来，该课题一直受到最密切的关注。该研究所的员工为国内和全球的图像处理科学做出了重大贡献。在本著作中，作者仅介绍了俄罗斯科学院信息传输问题研究所数字光学实验室图像处理与分析理论、方法和算法发展的主要阶段。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.