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.
| ISBN: | 9783319346847 |
| Publication date: | 10th September 2016 |
| Author: | Margarita N Favorskaya, Lakhmi C Jain |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Paperback |
| Pagination: | 371 pages |
| Series: | Intelligent Systems Reference Library |
| Genres: |
Artificial intelligence Computer vision Automatic control engineering |