FAIR

An overview of state-of-the-art image registration techniques from theory to practice from an interdisciplinary point of view. It will appeal to mathematicians, medical imaging professionals and computer scientists and engineers. It is also appropriate for use as a course text at the advanced graduate level.

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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.