解决俄罗斯科学院西伯利亚分院自动化和电子测量研究所及其他科学院的数字图像处理基础和应用问题

IF 0.7 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

PATTERN RECOGNITION AND IMAGE ANALYSIS Pub Date : 2024-03-20 DOI:10.1134/s1054661823040363

A. L. Reznik, A. A. Soloviev

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引用次数: 0

摘要

摘要介绍了俄罗斯科学院西伯利亚分院各研究所近年来在开发数学方法和构建有效的信息与计算系统以解决数字图像处理的基础和应用问题方面取得的最重要成果。举例说明了为有效解决重要的理论和科学应用问题而开发的特定高性能软件和硬件系统，这些问题的解决是以使用先进的数字图像处理方法为基础的。

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Solving Fundamental and Applied Problems of Digital Image Processing at the Institute of Automation and Electrometry and Other Scientific Schools of the Siberian Branch of the Russian Academy of Sciences

Abstract

The most important results obtained in recent years by the research institutes of the Siberian Branch of the Russian Academy of Sciences in the field of development of mathematical methods and the construction of effective information and computing systems for solving fundamental and applied problems of digital image processing are presented. Examples are given of the development of specific high-performance software and hardware systems intended to effectively solve important theoretical and scientific-applied problems, the solutions to which is based on the use of advanced methods of digital image processing.

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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.