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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

Application of Cascade Methods as a Universal Object Detection Tool

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

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

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

Computer Tomography as an Artificial Intelligence Instrument—the Survey of Approach and Results of V.L. Arlazarov’s Scientific School

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

Pattern Recognition and Concept Analysis

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

Application of Cascade Methods as a Universal Object Detection Tool

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

Computer Tomography as an Artificial Intelligence Instrument—the Survey of Approach and Results of V.L. Arlazarov’s Scientific School

Pattern Recognition and Concept Analysis

Development of the Neural Network Based Recognition Methods at V.L. Arlazarov’s Scientific School

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