Librería Portfolio

Image registration is required whenever images need to be compared, merged or integrated after they have been taken at different times, from different viewpoints, and/or by different sensors. Registration, also known as alignment, fusion, or warping, is the process of transforming data into a common reference frame. This book provides an overview of state-of-the-art registration techniques from theory to practice, plus numerous exercises designed to enhance readers´ understanding of the principles and mechanisms of the described techniques. It also provides, via a supplementary Web page, free access to FAIR.m, a package that is based on the MATLAB® software environment, which enables readers to experiment with the proposed algorithms and explore the presented examples in much more depth. Written from an interdisciplinary point of view, this book will appeal to mathematicians, medical imaging professionals and computer scientists and engineers.

Contains numerous exercises designed to enhance readers´ understanding of the principles and mechanisms of the described techniques
Includes software which enables the reader to compare different approaches, explore their own ideas, and perform their own experiments
Appropriate for use as a course text at the advanced graduate level



Table of Contents

FAIR listings
FAIR examples
List of figures
List of tables
Preface
1. Introduction
2. FAIR concepts
3. Image interpolation
4. Transforming images by parameterized transformations
5. Landmark-based registration
6. Parametric image registration
7. Distance measures
8. Regularization
9. Nonparametric image registration
10. Outlook
Bibliography
Symbols, Acronyms, Index.