- Full 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
Table of Contents
- 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).
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