Description

Book Synopsis
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.

FAIR Flexible Algorithms for Image Registration

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A Paperback by Jan Modersitzki

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    View other formats and editions of FAIR Flexible Algorithms for Image Registration by Jan Modersitzki

    Publisher: Society for Industrial and Applied Mathematics
    Publication Date: 11/26/2009
    ISBN13: 9780898716900, 978-0898716900
    ISBN10: 089871690X
    Also in:
    Imaging systems and technology

    Description

    Book Synopsis
    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.

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