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Computer Vision in Control Systems-1

Mathematical Theory

Jezik EngleskiEngleski
Knjiga Tvrdi uvez
Knjiga Computer Vision in Control Systems-1 Margarita Favorskaya
Libristo kod: 05147899
Nakladnici Springer International Publishing AG, studeni 2014
This book is focused on the recent advances in computer vision methodologies and technical solutions... Cijeli opis
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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.§§· Techniques for Detecting the Structural Changes in Computer Vision.§§· Hierarchical Adaptive KL-based Transform: Algorithms and Applications.§§· Automatic Estimation for Parameters of Image Projective Transforms based on Object-invariant Cores.§§· Analysis of Energy for Image and Video Sequence Processing.§§· Optimal Measurement of Visual Motion across Spatial and Temporal Scales.§§· Analysis of Scene Using Morphological Mathematics and Fuzzy Logic.§§· Digital Video Stabilization in Static and Dynamic Scenes.§§· Implementation of Hadamard Matrices for Image Processing.§§· Generalized Criterion of Efficiency for Telecommunication 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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Informacije o knjizi

Puni naziv Computer Vision in Control Systems-1
Autor Margarita Favorskaya, Lakhmi C. Jain
Jezik Engleski
Uvez Knjiga - Tvrdi uvez
Datum izdanja 2014
Broj stranica 371
EAN 9783319106526
ISBN 331910652X
Libristo kod 05147899
Nakladnici Springer International Publishing AG
Težina 7096
Dimenzije 155 x 235 x 27

Kategorija

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering
Computing & Information Technology > Computer science > Artificial intelligence > Computer vision
Technology, Engineering, Agriculture > Technology: general issues > Engineering: general
Computing & Information Technology > Computer science > Image processing
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