Image Registration

Principles, Tools and Methods

By A. Ardeshir Goshtasby

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This book presents a detailed guide to image registration. It details the principles behind a vast array of tools and methods as well as compares their performances using synthetic and real data.

Full Description

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  • ISBN13: 978-1-4471-2457-3
  • 463 Pages
  • User Level: Science
  • Publication Date: January 11, 2012
  • Available eBook Formats: PDF

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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

  1. Introduction.
  2. Similarity and Dissimilarity Measures.
  3. Point Detectors.
  4. Feature Extraction.
  5. Image Descriptors.
  6. Feature Selection and Heterogeneous Descriptors.
  7. Point Pattern Matching.
  8. Robust Parameter Estimation.
  9. Transformation Functions.
  10. Image Resampling and Compositing.
  11. Image Registration Methods.
  12. A Principal Component Analysis (PCA).

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