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Computer Vision in Control Systems-1

Mathematical Theory

  • Book
  • © 2015

Overview

Editors:
  1. Margarita N. Favorskaya

    1. Department of Informatics and Computer Techniques, Siberian State Aerospace University, Krasnoyarsk, Russia

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  2. Lakhmi C. Jain

    1. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Focuses on computer vision methodologies and technical solutions applied to advanced control systems using conventional and intelligent paradigms
  • Presents theoretical aspects of applied computer vision and vision-based control systems
  • Written by experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 73)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xx
    Download chapter PDF

  2. Development of Mathematical Theory in Computer Vision

    • Margarita N. Favorskaya, Lakhmi C. Jain
    Pages 1-8

  3. Morphological Image Analysis for Computer Vision Applications

    • Y.V. Vizilter, Y.P. Pyt’ev, A.I. Chulichkov, L. M. Mestetskiy
    Pages 9-58

  4. Methods for Detecting of Structural Changes in Computer Vision Systems

    • Yury S. Radchenko, Aleksey V. Bulygin
    Pages 59-90

  5. Hierarchical Adaptive KL-Based Transform: Algorithms and Applications

    • Roumen Kountchev, Roumiana Kountcheva
    Pages 91-136

  6. Automatic Estimation for Parameters of Image Projective Transforms Based on Object-Invariant Cores

    • Vadim Lutsiv
    Pages 137-181

  7. A Way of Energy Analysis for Image and Video Sequence Processing

    • Andrei Bogoslovsky, Irina Zhigulina
    Pages 183-210

  8. Optimal Measurement of Visual Motion Across Spatial and Temporal Scales

    • Sergei Gepshtein, Ivan Tyukin
    Pages 211-238

  9. Scene Analysis Using Morphological Mathematics and Fuzzy Logic

    • Victoria Lynn Fox, Mariofanna Milanova, Salim Al-Ali
    Pages 239-259

  10. Digital Video Stabilization in Static and Dynamic Scenes

    • Margarita N. Favorskaya, Lakhmi C. Jain, Vladimir Buryachenko
    Pages 261-309

  11. Implementation of Hadamard Matrices for Image Processing

    • Leonid Mironovsky, Valery Slaev
    Pages 311-349

  12. A Generalized Criterion of Efficiency for Telecommunication Systems

    • Alexey A. Borisenko, Vyacheslav V. Kalashnikov, Alexey E. Goryachev, Nataliya I. Kalashnykova
    Pages 351-371
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Keywords

About this book

This book is focused on the recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The Contributions include:

·         Morphological Image Analysis for Computer Vision Applications.

·         Methods for Detecting of Structural Changes in Computer Vision Systems.

·         Hierarchical Adaptive KL-based Transform: Algorithms and Applications.

·         Automatic Estimation for Parameters of Image Projective Transforms Based on Object-invariant Cores.

·         A Way of Energy Analysis for Image and Video Sequence Processing.

·         Optimal Measurement of Visual Motion Across Spatial and Temporal Scales.

·         Scene Analysis Using Morphological Mathematics and Fuzzy Logic.

·         Digital Video Stabilization in Static and Dynamic Scenes.

·         Implementation of Hadamard Matrices for Image Processing.

·         A Generalized Criterion of Efficiency forTelecommunication Systems.

The book is directed to PhD students, professors, researchers and software developers working in the areas of digital video processing and computer vision technologies.

Editors and Affiliations

  • Department of Informatics and Computer Techniques, Siberian State Aerospace University, Krasnoyarsk, Russia

    Margarita N. Favorskaya

  • Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

Bibliographic Information

  • Book Title: Computer Vision in Control Systems-1

  • Book Subtitle: Mathematical Theory

  • Editors: Margarita N. Favorskaya, Lakhmi C. Jain

  • Series Title: Intelligent Systems Reference Library

  • DOI: https://doi.org/10.1007/978-3-319-10653-3

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2015

  • Hardcover ISBN: 978-3-319-10652-6Published: 14 November 2014

  • Softcover ISBN: 978-3-319-34684-7Published: 10 September 2016

  • eBook ISBN: 978-3-319-10653-3Published: 01 November 2014

  • Series ISSN: 1868-4394

  • Series E-ISSN: 1868-4408

  • Edition Number: 1

  • Number of Pages: XX, 371

  • Number of Illustrations: 82 b/w illustrations, 57 illustrations in colour

  • Topics: Computational Intelligence, Image Processing and Computer Vision, Control and Systems Theory

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