Recognition and Perception of Images: Fundamentals and Applications

ISBN-13: 9781119750550 / Angielski / Twarda / 2021 / 464 str.

Iftikhar B. Abbasov

Spis treści

Abstract xiiiPreface xv1 Perception of Images. Modern Trends 1Iftikhar B. Abbasov1.1 Visual System 11.2 Eye. Types of Eye Movement 101.3 Perception of Figures and Background 331.4 Space Perception 461.5 Visual Illusions 491.6 Conclusion 602 Image Recognition Based on Compositional Schemes 63Victoria I. Barvenko and Natalia V. Krasnovskaya2.1 Artistic Image 632.2 Classification of Features 692.3 Compositional Analysis of an Art Work 712.4 Classification by Shape, Position, Color 732.5 Classification According to the Content of the Scenes 762.6 Compositional Analysis in Iconography 802.7 Associative Mechanism of Analysis 832.8 Conclusions 863 Sensory and Project Images in the Design Practice 89Anna A. Kuleshova3.1 Sensory Image Nature 893.2 Language and Images Symbolics 963.3 Methods of Images Production in Ideas 1023.4 Personality Image Projecting 1063.5 Project Image 1083.6 Conclusion 1204 Associative Perception of Conceptual Models of Exhibition Spaces 125Olga P. Medvedeva4.1 Associative Modeling of the Exhibition Space Environment 1254.2 Associative Modeling of Environmental Objects in Exhibition Spaces 1344.3 Conclusion 1415 Disentanglement For Discriminative Visual Recognition 143Xiaofeng Liu5.1 Introduction 1445.2 Problem Statement. Deep Metric Learning Based Disentanglement for FER 1495.3 Adversarial Training Based Disentanglement 1525.4 Methodology. Deep Metric Learning Based Disentanglement for FER 1545.5 Adversarial Training Based Disentanglement 1595.6 Experiments and Analysis 1625.7 Discussion 1765.8 Conclusion 1786 Development of the Toolkit to Process the Internet Memes Meant for the Modeling, Analysis, Monitoring and Management of Social Processes 189Margarita G. Kozlova, Vladimir A. Lukianenko and Mariia S. Germanchuk6.1 Introduction 1906.2 Modeling of Internet Memes Distribution 1936.3 Intellectualization of System for Processing the Internet Meme Data Flow 1976.4 Implementation of Intellectual System for Recognition of Internet Meme Data Flow 2076.5 Conclusion 2167 The Use of the Mathematical Apparatus of Spatial Granulation in The Problems of Perception and Image Recognition 221Sergey A. Butenkov, Vitaly V. Krivsha and Nataly S. Krivsha7.1 Introduction 2217.2 The Image Processing and Analysis Base Conceptions 2227.3 Human Visual Perception Modeling 2247.4 Mathematic Modeling of Different Kinds of Digital Images 2277.5 Zadeh's Information Granulation Theory 2327.6 Fundamentals of Spatial Granulation 2357.7 Entropy-Preserved Granulation of Spatial Data 2417.8 Digital Images Granulation Algorithms 2437.9 Spatial Granulation Technique Applications 2477.10 Conclusions 2578 Inverse Synthetic Aperture Radars: Geometry, Signal Models and Image Reconstruction Methods 261Andon D. Lazarov and Chavdar N. Minchev8.1 Introduction 2618.2 ISAR Geometry and Coordinate Transformations 2638.3 2-D ISAR Signal Models and Reconstruction Algorithms 2748.4 3-D ISAR Signal Models and Image Reconstruction Algorithms 2968.5 Conclusions 3239 Remote Sensing Imagery Spatial Resolution Enhancement 327Sergey A. Stankevich, Iryna O. Piestova and Mykola S. Lubskyi9.1 Introduction 3289.2 Multiband Aerospace Imagery Informativeness 3289.3 Equivalent Spatial Resolution of Multiband Aerospace Imagery 3309.4 Multispectral Imagery Resolution Enhancement Based on Spectral Signatures' Identification 3369.5 Multispectral Imagery Resolution Enhancement Using Subpixels Values Reallocation According to Land Cover Classes' Topology 3419.6 Remote Sensing Longwave Infrared Data Spatial Resolution Enhancement 3469.7 Issues of Objective Evaluation of Remote Sensing Imagery Actual Spatial Resolution 3599.8 Conclusion 36010 The Theoretical and Technological Peculiarities of Aerospace Imagery Processing and Interpretation By Means of Artificial Neural Networks 369Oleg G. Gvozdev10.1 Introduction 37110.2 Peculiarities of Aerospace Imagery, Ways of its Digital Representation and Tasks Solved on It 37310.3 Aerospace Imagery Preprocessing 39010.4 Interpretation of Aerospace Imagery by Means of Artificial Neural Networks 40610.5 Conclusion 436References 438Index 445

O autorze

Iftikhar B. Abbasov, PhD, is a specialist in mathematical modeling, computer engineering and industrial design at the Southern Federal University in Russia. He has numerous publications to his credit, focusing on the use of mathematical modeling and high-level computer programming for practical applications such as ocean exploration, coastal and aircraft engineering, and perception of images.