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01.12.2023 | SCIENTIFIC SCHOOLS OF THE INSTITUTE OF AUTOMATION AND ELECTROMETRY OF THE SIBERIAN BRANCH OF THE RUSSIAN ACADEMY OF SCIENCES, NOVOSIBIRSK, THE RUSSIAN FEDERATION

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

verfasst von: A. L. Reznik, A. A. Soloviev

Erschienen in: Pattern Recognition and Image Analysis | Ausgabe 4/2023

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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.

Vorheriger Artikel From Tsetlin’s School of Learning Automata towards Artificial Intelligence

Nächster Artikel Spectral Methods in Data Analysis and Pattern Recognition Problems: Works of the Pushchino School

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Titel: 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
verfasst von: A. L. Reznik
A. A. Soloviev
Publikationsdatum: 01.12.2023
Verlag: Pleiades Publishing
Erschienen in: Pattern Recognition and Image Analysis / Ausgabe 4/2023
Print ISSN: 1054-6618
Elektronische ISSN: 1555-6212
DOI: https://doi.org/10.1134/S1054661823040363

SCIENTIFIC SCHOOLS OF THE LOBACHEVSKY STATE UNIVERSITY OF NIZHNY NOVGOROD, NIZHNY NOVGOROD, THE RUSSIAN FEDERATION

Optimization in Automation Systems for Design and Management: Scientific and Pedagogical School of Dmitry Ivanovich Batishchev

SCIENTIFIC SCHOOLS OF THE FEDERAL RESEARCH CENTER “COMPUTER SCIENCE AND CONTROL” OF THE RUSSIAN ACADEMY OF SCIENCES, MOSCOW, THE RUSSIAN FEDERATION

The Role of the Scientific Council “Cybernetics” of the USSR Academy of Sciences/the Russian Academy of Sciences in the Development of National Cybernetics and Computer Technology

SCIENTIFIC SCHOOLS OF THE FEDERAL RESEARCH CENTER “COMPUTER SCIENCE AND CONTROL” OF THE RUSSIAN ACADEMY OF SCIENCES, MOSCOW, THE RUSSIAN FEDERATION

Recognition Methods in Academician Yu.I. Zhuravlev’s Scientific School

SCIENTIFIC SCHOOLS OF THE LOMONOSOV MOSCOW STATE UNIVERSITY (MSU), MOSCOW, THE RUSSIAN FEDERATION

I.G. Persiantsev’s Scientific School at the Lomonosov Moscow State University, Skobeltsyn Institute of Nuclear Physics: History of Development and Overview of Key Works

SCIENTIFIC SCHOOL OF THE IMAGE PROCESSING SYSTEMS INSTITUTE OF THE RUSSIAN ACADEMY OF SCIENCES–BRANCH OF THE FEDERAL SCIENTIFIC RESEARCH CENTER “CRYSTALLOGRAPHY AND PHOTONICS” OF THE RUSSIAN ACADEMY OF SCIENCES, SAMARA, THE RUSSIAN FEDERATION

Earth Remote Sensing and Geographic Information Systems

SCIENTIFIC SCHOOL OF THE INSTITUTE OF MATHEMATICAL PROBLEMS OF BIOLOGY OF THE RUSSIAN ACADEMY OF SCIENCES–THE BRANCH OF KELDYSH INSTITUTE OF APPLIED MATHEMATICS OF RUSSIAN ACADEMY OF SCIENCES, PUSHCHINO, MOSCOW REGION, THE RUSSIAN FEDERATION

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Weitere Artikel der Ausgabe 4/2023

Optimization in Automation Systems for Design and Management: Scientific and Pedagogical School of Dmitry Ivanovich Batishchev

The Role of the Scientific Council “Cybernetics” of the USSR Academy of Sciences/the Russian Academy of Sciences in the Development of National Cybernetics and Computer Technology

Recognition Methods in Academician Yu.I. Zhuravlev’s Scientific School

I.G. Persiantsev’s Scientific School at the Lomonosov Moscow State University, Skobeltsyn Institute of Nuclear Physics: History of Development and Overview of Key Works

Earth Remote Sensing and Geographic Information Systems

Functional Tomography of Complex Systems Using Spectral Analysis of Multichannel Measurement Data

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