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Image Registration

Principles, Tools and Methods

  • Book
  • © 2012

Overview

Authors:
  1. A. Ardeshir Goshtasby

    1. Dept. Computer Science and Engineering, Wright State University, Dayton, USA

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  • Reviews a vast array of tools and methods, describing the underlying principles and comparing their performances
  • Includes a glossary, an extensive list of references, and an appendix on principal component analysis
  • Provides supplementary images and data in an associated website
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (11 chapters)

  1. Front Matter

    Pages I-XVIII
    Download chapter PDF

  2. Introduction

    • A. Ardeshir Goshtasby
    Pages 1-6

  3. Similarity and Dissimilarity Measures

    • A. Ardeshir Goshtasby
    Pages 7-66

  4. Point Detectors

    • A. Ardeshir Goshtasby
    Pages 67-121

  5. Feature Extraction

    • A. Ardeshir Goshtasby
    Pages 123-217

  6. Image Descriptors

    • A. Ardeshir Goshtasby
    Pages 219-246

  7. Feature Selection and Heterogeneous Descriptors

    • A. Ardeshir Goshtasby
    Pages 247-266

  8. Point Pattern Matching

    • A. Ardeshir Goshtasby
    Pages 267-312

  9. Robust Parameter Estimation

    • A. Ardeshir Goshtasby
    Pages 313-341

  10. Transformation Functions

    • A. Ardeshir Goshtasby
    Pages 343-400

  11. Image Resampling and Compositing

    • A. Ardeshir Goshtasby
    Pages 401-414

  12. Image Registration Methods

    • A. Ardeshir Goshtasby
    Pages 415-434

  13. Back Matter

    Pages 435-441
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Keywords

About this book

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.

Reviews

From the reviews:

“The book Image Registration: Principles, Tools and Methods by A. Ardeshir Goshtasby is a detailed reference on … low-level computer vision sub-tasks. … The book provides explicit near-pseudo-code descriptions of some of the algorithms discussed which can be helpful for someone interested in implementing the algorithms. It has a total of 441 pages and is self-contained and easy to read, thus well suited as a reference book for students and practitioners … .” (Zeeshan Zia, IAPR Newsletter, Vol. 35 (2), April, 2013)

“This book aims to describe principles, tools and methods in image registration. … New tools and methods are introduced and evaluated. The book covers the fundamentals of digital image registration … . Each chapter concludes with an extensive and … updated list of bibliographic references. This book is a valuable text for students, image analysis software developers, engineers, and researchers who would like to analyze two or more images of a scene.” (Oscar Bustos, Zentralblatt MATH, Vol. 1243, 2012)

Authors and Affiliations

  • Dept. Computer Science and Engineering, Wright State University, Dayton, USA

    A. Ardeshir Goshtasby

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