‏794.00 ‏₪

Theory and Applications of Image Registration

‏794.00 ‏₪
ISBN13
9781119171713
יצא לאור ב
Hoboken
זמן אספקה
21 ימי עסקים - לא במלאי בארץ
עמודים / Pages
520
פורמט
Hardback
תאריך יציאה לאור
15 בספט׳ 2017
A hands-on guide to image registration theory and methods with examples of a wide range of real-world applications Theory and Applications of Image Registration offers comprehensive coverage of feature-based image registration methods.
A hands-on guide to image registration theory and methods with examples of a wide range of real-world applications Theory and Applications of Image Registration offers comprehensive coverage of feature-based image registration methods. It provides in-depth exploration of an array of fundamental issues, including image orientation detection, similarity measures, feature extraction methods, and elastic transformation functions. Also covered are robust parameter estimation, validation methods, multi-temporal and multi-modality image registration, methods for determining the orientation of an image, methods for identifying locally unique neighborhoods in an image, methods for detecting lines in an image, methods for finding corresponding points and corresponding lines in images, registration of video images to create panoramas, and much more. Theory and Applications of Image Registration provides readers with a practical guide to the theory and underpinning principles. Throughout the book numerous real-world examples are given, illustrating how image registration can be applied to problems in various fields, including biomedicine, remote sensing, and computer vision. Also provided are software routines to help readers develop their image registration skills. Many of the algorithms described in the book have been implemented, and the software packages are made available to the readers of the book on a companion website. In addition, the book: * Explores the fundamentals of image registration and provides a comprehensive look at its multi-disciplinary applications * Reviews real-world applications of image registration in the fields of biomedical imaging, remote sensing, computer vision, and more * Discusses methods in the registration of long videos in target tracking and 3-D reconstruction * Addresses key research topics and explores potential solutions to a number of open problems in image registration * Includes a companion website featuring fully implemented algorithms and image registration software for hands-on learning Theory and Applications of Image Registration is a valuable resource for researchers and professionals working in industry and government agencies where image registration techniques are routinely employed. It is also an excellent supplementary text for graduate students in computer science, electrical engineering, software engineering, and medical physics.
מידע נוסף
עמודים / Pages 520
פורמט Hardback
ISBN10 1119171717
יצא לאור ב Hoboken
תאריך יציאה לאור 15 בספט׳ 2017
תוכן עניינים Contents in Brief Dedication Contributors Acknowledgments About the companion website Chapter 1: Introduction 1.1 Organization of the Book 1.2 Further Reading References Chapter 2: Image Orientation Detection 2.1 Introduction 2.2 Geometric Gradient and Geometric Smoothing 2.3 Comparison of Geometric Gradients and Intensity Gradients 2.4 Finding the Rotational Difference between Two Images 2.5 Performance Evaluation 2.6 Registering Images with a Know Rotational Difference 2.7 Discussion 2.8 Further Reading References Chapter 3: Feature Point Detection 3.1 Introduction 3.2 Variant Features 3.3 Invariant Features 3.4 Performance Evaluation 3.5 Further Reading References Chapter 4: Feature Line Detection 4.1 Hough Transform Using Polar Equation of Lines 4.2 Hough Transform Using Slope and y-intercept Equation of Lines 4.3 Line Detection Using Parametric Equation of Lines 4.4 Line Detection by Clustering 4.5 Line Detection by Contour Tracing 4.6 Line Detection by Curve Fitting 4.7 Line Detection by Region Subdivision 4.8 Comparison of the Line Detection Algorithms 4.9 Revisiting Image Dominant Orientation Detection 4.10 Further Reading References Chapter 5: Finding Homologous Points 5.1 Introduction 5.2 Point Pattern Matching 5.3 Point Descriptors 5.4 Similarity Measures 5.5 Distance Measures 5.6 Template Matching 5.7 Robust Parameter Estimation 5.8 Finding Optimal Transformation Parameters 5.9 Performance Evaluation 5.10 Further Reading References Chapter 6: Finding Homologous Lines 6.1 Introduction 6.2 Determining Transformation Parameters from Line Parameters 6.3 Finding Homologous Lines by Clustering 6.4 Finding Homologous Lines by RANSAC 6.5 Line Grouping Using Local Image Information 6.6 Line Grouping Using Vanishing Points 6.7 Robust Parameter Estimation Using Homologous Lines 6.8 Revisiting Image Dominant Orientation Detection 6.9 Further Reading References Chapter 7: Nonrigid Image Registration 7.1 Introduction 7.2 Finding Homologous Points 7.3 Outlier Removal 7.4 Elastic Transformation Models 7.5 Further Reading References Chapter 8: Volume Image Registration 8.1 Introduction 8.2 Feature Point Detection 8.3 Finding Homologous Points 8.4 Transformation Models for Volume Image Registration 8.5 Performance Evaluation 8.6 Further Reading References Chapter 9: Validation Methods 9.1 Introduction 9.2 Validation Using Simulation Data 9.3 Validation Using a Gold Standard 9.4 Validation by an Expert Observer 9.5 Validation Using a Consistency Measure 9.6 Validation Using a Similarity/Distance Measure 9.7 Further Reading References Chapter 10: Video Image Registration Edgardo Molina, Wai Lun Khoo, Hao Tang, Zhigang Zhu 10.1 Introduction 10.2 Motion Modeling 10.3 Image Alignment 10.4 Image Composition 10.5 Application Examples 10.6 Further Reading References Chapter 11: Multitemporal Image Registration 11.1 Introduction 11.2 Finding Transformation Parameters from Line Parameters 11.3 Finding an Initial Set of Homologous Lines 11.4 Maximizing the Number of Homologous Lines 11.5 Examples of Multitemporal Image Registration 11.6 Further Reading References Chapter 12: Open Problems and Research Topics 12.1 Finding Rotational Difference between Multimodality Images 12.2 Designing a Robust Image Descriptor 12.3 Finding Homologous Lines for Nonrigid Registration 12.4 Nonrigid Registration Using Homologous Lines 12.5 Transformation Models with Nonsymmetric Basis Functions 12.6 Finding Homologous Points along Homologous Contours 12.7 4-D Image Registration References A Image Registration Software A.1 Chapter 2: Image Orientation Detection A.2 Chapter 3: Feature Point Detection A.3 Chapter 4: Feature Line Detection A.4 Chapter 5: Finding Homologous Points A.5 Chapter 6: Finding Homologous Lines A.6 Chapter 7: Nonrigid Image Registration A.7 Chapter 8: Volume Image Registration References Glossary Acronyms List of Symbols Index