Volume 175
Intelligent Systems Reference Library
Series Editors
Janusz Kacprzyk
Polish Academy of Sciences, Warsaw, Poland
Lakhmi C. Jain
Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, University of Technology, Sydney, NSW, Australia; Faculty of Science, Technology and Mathematics, University of Canberra, Canberra, ACT, Australia, KES International, Shoreham-by-Sea, UK; Liverpool Hope University, Liverpool, UK
The aim of this series is to publish a Reference Library, including novel advances and developments in all aspects of Intelligent Systems in an easily accessible and well structured form. The series includes reference works, handbooks, compendia, textbooks, well-structured monographs, dictionaries, and encyclopedias. It contains well integrated knowledge and current information in the field of Intelligent Systems. The series covers the theory, applications, and design methods of Intelligent Systems. Virtually all disciplines such as engineering, computer science, avionics, business, e-commerce, environment, healthcare, physics and life science are included. The list of topics spans all the areas of modern intelligent systems such as: Ambient intelligence, Computational intelligence, Social intelligence, Computational neuroscience, Artificial life, Virtual society, Cognitive systems, DNA and immunity-based systems, e-Learning and teaching, Human-centred computing and Machine ethics, Intelligent control, Intelligent data analysis, Knowledge-based paradigms, Knowledge management, Intelligent agents, Intelligent decision making, Intelligent network security, Interactive entertainment, Learning paradigms, Recommender systems, Robotics and Mechatronics including human-machine teaming, Self-organizing and adaptive systems, Soft computing including Neural systems, Fuzzy systems, Evolutionary computing and the Fusion of these paradigms, Perception and Vision, Web intelligence and Multimedia.
** Indexing: The books of this series are submitted to ISI Web of Science, SCOPUS, DBLP and Springerlink.
More information about this series at http://www.springer.com/series/8578
Editors
Margarita N. Favorskaya
Department of Informatics and Computer Techniques, Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia
Lakhmi C. Jain
University of Canberra, Canberra, SA, Australia
University of Technology Sydney, Sydney, Australia
Liverpool Hope University, Liverpool, UK
KES International, UK
ISSN 1868-4394 e-ISSN 1868-4408
Intelligent Systems Reference Library
ISBN 978-3-030-33794-0 e-ISBN 978-3-030-33795-7
https://doi.org/10.1007/978-3-030-33795-7
Springer Nature Switzerland AG 2020
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
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Preface
The research book is a continuation of our previous books which are focused on the recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms.
Computer Vision in Control Systems1, Mathematical Theory, ISRL Series, Volume 73, Springer-Verlag, 2015
Computer Vision in Control Systems2, Innovations in Practice, ISRL Series, Volume 75, Springer-Verlag, 2015
Computer Vision in Control Systems3, Aerial and Satellite Image Processing, ISRL Series, Volume 135, Springer-Verlag, 2018
Computer Vision in Control Systems4, Real Life Applications, ISRL Series, Volume 136, Springer-Verlag, 2018
Image processing and analysis remain a vital part of numerous real-time applications in every discipline. The main contribution of this book is an attempt to improve algorithms by novel theories and complex data analysis in different scopes including object detection, remote sensing, data transmission, data fusion, gesture recognition, and medical image processing and analysis.
Recent research results in the image and video processing, transmission, and image analysis are included in Part I, while a wide spectrum of algorithms for medical image processing are included in Part II of the book.
The book is directed to the Ph.D. students, professors, researchers, and software developers working in the areas of digital video processing and computer vision technologies.
We wish to express our gratitude to the authors and reviewers for their contribution. The assistance provided by Springer-Verlag is acknowledged.
Margarita N. Favorskaya
Lakhmi C. Jain
Krasnoyarsk, Russian Federation Canberra, Australia
Contents
Margarita N. Favorskaya and Lakhmi C. Jain
Konstantin K. Vasilev and Nikita A. Andriyanov
Vitaly E. Dementev , Victor R. Krasheninnikov and Konstantin K. Vasilev
Mikhail Sergeev and Nathan Blaunstein
Margarita N. Favorskaya and Vladimir V. Buryachenko
Vladimir Yu. Volkov , Mikhail I. Bogachev and Airat R. Kayumov
Dmitry Ryumin , Denis Ivanko , Ildar Kagirov , Alexander Axyonov and Alexey Karpov
Nataliia Obukhova , Alexandr Motyko and Alexandr Pozdeev
Aleksandr Zotin , Konstantin Simonov , Fedor Kapsargin , Tatyana Cherepanova and Alexey Kruglyakov
Vladimir Khryashchev , Anton Lebedev , Olga Stepanova and Anastasiya Srednyakova
About the Editors
Dr. Margarita N. Favorskaya