Computer Vision in Control Systems-1 Mathematical Theory

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.