Computer Vision in Control Systems: Mathematical Theory: Vol 1

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.