Image Registration

1. Front Matter

   Pages I-XVIII

   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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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.

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

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)

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

  A. Ardeshir Goshtasby

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