Image Registration: Principles, Tools and Methods

✍ Scribed by A. Ardeshir Goshtasby (auth.)

• Publisher: Springer-Verlag London
• Year: 2012
• Tongue: English
• Leaves: 460
• Series: Advances in Computer Vision and Pattern Recognition
• Edition: 1
• Category: Library

✦ Synopsis

This book presents a thorough and detailed guide to image registration, outlining the principles and reviewing state-of-the-art tools and methods. The book begins by identifying the components of a general image registration system, and then describes the design of each component using various image analysis tools. The text reviews a vast array of tools and methods, not only describing the principles behind each tool and method, but also measuring and comparing their performances using synthetic and real data. Features: discusses similarity/dissimilarity measures, point detectors, feature extraction/selection and homogeneous/heterogeneous descriptors; examines robust estimators, point pattern matching algorithms, transformation functions, and image resampling and blending; covers principal axes methods, hierarchical methods, optimization-based methods, edge-based methods, model-based methods, and adaptive methods; includes a glossary, an extensive list of references, and an appendix on PCA.

✦ Table of Contents

Front Matter....Pages I-XVIII
Introduction....Pages 1-6
Similarity and Dissimilarity Measures....Pages 7-66
Point Detectors....Pages 67-121
Feature Extraction....Pages 123-217
Image Descriptors....Pages 219-246
Feature Selection and Heterogeneous Descriptors....Pages 247-266
Point Pattern Matching....Pages 267-312
Robust Parameter Estimation....Pages 313-341
Transformation Functions....Pages 343-400
Image Resampling and Compositing....Pages 401-414
Image Registration Methods....Pages 415-434
Back Matter....Pages 435-441

✦ Subjects

Image Processing and Computer Vision; Pattern Recognition