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.
