Image Registration

Principles, Tools and Methods

  • A. Ardeshir Goshtasby

Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. A. Ardeshir Goshtasby
    Pages 1-6
  3. A. Ardeshir Goshtasby
    Pages 7-66
  4. A. Ardeshir Goshtasby
    Pages 67-121
  5. A. Ardeshir Goshtasby
    Pages 123-217
  6. A. Ardeshir Goshtasby
    Pages 219-246
  7. A. Ardeshir Goshtasby
    Pages 247-266
  8. A. Ardeshir Goshtasby
    Pages 267-312
  9. A. Ardeshir Goshtasby
    Pages 313-341
  10. A. Ardeshir Goshtasby
    Pages 343-400
  11. A. Ardeshir Goshtasby
    Pages 401-414
  12. A. Ardeshir Goshtasby
    Pages 415-434
  13. Back Matter
    Pages 435-441

About this book

Introduction

Image registration is the process of finding correspondence between all points in two images of a scene – a process with numerous applications in computer vision and image analysis.

This comprehensive text/reference 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.

Topics and features:

  • Discusses a broad range of image analysis tools, including similarity/dissimilarity measures, point detectors, feature extraction and homogeneous descriptors, and feature selection and heterogeneous descriptors
  • Examines robust estimators, point pattern matching algorithms, transformation functions, and image resampling and blending
  • Covers a large number of image registration methods, such as principal axes methods, hierarchical methods, optimization-based methods, edge-based methods, model-based methods, and adaptive methods
  • Provides all images and data used in the book at the website http://www.imgfsr.com/book2.html, enabling the reader to reproduce the results
  • Includes a glossary, an extensive list of references, and an appendix on principal component analysis

An excellent reference for courses on image registration, image processing, computer vision, pattern recognition, and image analysis, this unique text/guide is also suitable for image analysis software developers, engineers, and researchers interested in analyzing two or more images of a scene.

Keywords

Feature Extraction and Selection Image Resampling and Blending Point Detectors and Descriptors Point Matching Robust Estimation Similarity and Distance Measures Transformation Functions

Authors and affiliations

  • A. Ardeshir Goshtasby
    • 1
  1. 1.Dept. Computer Science and EngineeringWright State UniversityDaytonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-2458-0
  • Copyright Information Springer-Verlag London Limited 2012
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-4471-2457-3
  • Online ISBN 978-1-4471-2458-0
  • Series Print ISSN 2191-6586
  • Series Online ISSN 2191-6594
  • About this book