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Whenever images taken at different times, from different viewpoints, and/or by different sensors need to be compared, merged, or integrated, image registration is required. 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 more depth. Written from an interdisciplinary point of view, this book will appeal to mathematicians who want to learn more about image registration, medical imaging professionals who want to know more about and explore available imaging techniques, and computer scientists and engineers who want to understand the numerical schemes behind the techniques. The book is also appropriate for use as a course text at the advanced graduate level. Contents: FAIR Listings; FAIR Examples; List of Figures; List of Tables; Preface; Chapter 1: Introduction; Chapter 2: FAIR Concepts; Chapter 3: Image Interpolation; Chapter 4: Transforming Images by Parameterized Transformations; Chapter 5: Landmark-Based Registration; Chapter 6: Parametric Image Registration; Chapter 7: Distance Measures; Chapter 8: Regularization; Chapter 9: Nonparametric Image Registration; Chapter 10: Outlook; Bibliography; Symbols, Acronyms, Index.
Jan Modersitzki (Thu,) studied this question.