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FAIR

Flexible Algorithms for Image Registration
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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 (R) software environment, which enables readers to experiment with the proposed algorithms and explore the presented examples in much more depth.
Jan Modersitzki is an Associate Professor in the Department of Computing and Software at McMaster University in Hamilton, Canada. His primary research interest is in medical imaging, specifically correspondence and registration problems.
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.
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