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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. ? 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.