Computer Vision in Control Systems-1 | Mathematical Theory

Margarita N. Favorskaya (u. a.)

ISBN 10: 3319346849 / ISBN 13: 9783319346847

Published by Springer, 2016

About this Item

Computer Vision in Control Systems-1 | Mathematical Theory | Margarita N. Favorskaya (u. a.) | Taschenbuch | xx | Englisch | 2016 | Springer | EAN 9783319346847 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.

Seller Inventory # 103361249

Bibliographic Details

• Title: Computer Vision in Control Systems-1 | Mathematical Theory
• Publisher: Springer
• Publication Date: 2016
• Language: English
• ISBN 10: 3319346849
• ISBN 13: 9783319346847
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 22D millimeters 235 millimeters width by 155 millimeters height by 22 millimeters depth
• Weight: 593 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.