Editors:
- 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)
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Front Matter
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
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Department of Informatics and Computer Techniques, Siberian State Aerospace University, Krasnoyarsk, Russia
Margarita N. Favorskaya
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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