Overview
- 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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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.
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Keywords
Table of contents (11 chapters)
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Front Matter
Editors and Affiliations
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