Computer vision in advanced control systems-5 : Advanced decisions in technical and medical applications /: Advanced decisions in technical and medical applications. (2020)

• Record Type: Book
• Other Titles: Advanced decisions in technical and medical applications
• Further Information: Note: Margarita N. Favorskaya, Lakhmi C. Jain, editors.
• Other Names: Favorskaya, Margarita N; Jain, L. C
• Contents: Intro; Preface; Contents; About the Editors; 1 Advanced Decisions in Technical and Medical Applications: An Introduction; Abstract; 1.1 Introduction; 1.2 Chapters Including in the Book; 1.3 Conclusions; References; Technical Applications; 2 Image Representation and Processing Using Autoregressive Random Fields with Multiple Roots of Characteristic Equations; Abstract; 2.1 Introduction; 2.2 Mathematical Models of Images; 2.3 Representation and Processing of One-Dimensional Autoregressions with Multiple Roots of Characteristic Equations 2.4 Representation and Processing of Multidimensional Random Fields Generated by Autoregressions with Multiple Roots of Characteristic Equations2.5 Real Image Processing; 2.6 Conclusions; References; 3 Representation and Processing of Spatially Heterogeneous Images and Image Sequences; Abstract; 3.1 Introduction; 3.2 Doubly Stochastic Autoregressive Models of Multidimensional Random Fields; 3.2.1 Doubly Stochastic Models of Random Fields; 3.2.2 Analysis of Double Stochastic Models; 3.2.3 Estimation of Parameters of Double Stochastic Models; 3.3 Doubly Stochastic Filtering 3.3.1 Synthesis of Double Stochastic Filter3.3.2 Analysis of Double Stochastic Filter; 3.3.3 Block Double Stochastic Filter; 3.3.4 Double Stochastic Filter for Multispectral Image Processing; 3.3.5 Restoration of Multispectral Images Based on Double Stochastic Filtering; 3.4 Detection of Objects Against the Background of Multispectral Satellite Images; 3.4.1 Synthesis of Object Detection Algorithms; 3.4.2 Analysis of Object Detection Algorithms; 3.5 Image-Type Related Mapping of Satellite Images and Objects Condition Prediction; 3.5.1 Thematic Mapping of Satellite Images 3.5.2 Monitoring of Natural Objects3.6 Autoregressive Models of Images on a Circle; 3.6.1 Models of Random Fields on a Cylinder; 3.6.2 Models of Random Fields on a Circle; 3.6.3 Doubly Stochastic Models of Random Fields on a Circle; 3.6.4 Filtration and Identification; 3.7 Conclusions; Acknowledgements; References; 4 Matrix Approach to Solution of the Inverse Problems for Multimedia Wireless Communication Links; Abstract; 4.1 Introduction; 4.2 Direct and Inverse Problems in the Communication Theory; 4.3 Least Squares Method and Pseudo-Inverse Matrix 4.4 Singular-Value Decomposition and Moore-Penrose Matrix4.5 Singular Regularization; 4.6 Levenberg-Marquardt Algorithm for Non-linear Equations Solution; 4.7 Iteration Algorithms for Inverse Problems Solution; 4.8 Solution of Convolutional Integral Equation and Wiener's Filtering; 4.9 Elimination of Images Spreading in Multimedia Communication Links; 4.10 Inverse Problem of Source Localization; 4.11 Inverse Problem of Micro-Strip Sensors Reconstruction; 4.12 Inverse Problem for Signal Analysis; 4.13 Conclusions; References
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Extent: 1 online resource (329 pages)
• Subjects: 006.3/7; Computer vision; Computer vision; Electronic books
• Languages: English
• ISBNs: 9783030337957; 3030337952
• Related ISBNs: 9783030337940
• Notes: Note: Includes bibliographical references and author index.; Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.