Image registration : principles, tools and methods
Author(s)
Bibliographic Information
Image registration : principles, tools and methods
（Advances in computer vision and pattern recognition / Sameer Singh, Sing Bing Kang, series editors）
Springer, c2012
- : hardcover
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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
Introduction
Similarity and Dissimilarity Measures
Point Detectors
Feature Extraction
Image Descriptors
Feature Selection and Heterogeneous Descriptors
Point Pattern Matching
Robust Parameter Estimation
Transformation Functions
Image Resampling and Compositing
Image Registration Methods
A Principal Component Analysis (PCA)
by "Nielsen BookData"