Computer Vision in Control Systems-1

Mathematical Theory
Herausgegeben:Favorskaya, Margarita N.; Jain, Lakhmi C.

• Broschiertes Buch

Produktbeschreibung

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 GeneralizedCriterion 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.

Produktdetails

• Intelligent Systems Reference Library 73
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-319-34684-7
• Softcover reprint of the original 1st ed. 2015
• Seitenzahl: 392
• Erscheinungstermin: 10. September 2016
• Englisch
• Abmessung: 235mm x 155mm x 22mm
• Gewicht: 593g
• ISBN-13: 9783319346847
• ISBN-10: 3319346849
• Artikelnr.: 45679114

Inhaltsangabe

Computer Vision in Control Systems: Mathematical Theory .- 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 for Telecommunication Systems.