Powerful techniques have been developed in recent years for the analysis of digital data, especially the manipulation of images. This book provides an in-depth introduction to a range of these innovative, avant-garde data-processing techniques. It develops the reader's understanding of each technique and then shows with practical examples how they can be applied to improve the skills of graduate students and researchers in astronomy, electrical engineering, physics, geophysics and medical imaging. What sets this book apart from others on the subject is the complementary blend of theory and practical application. Throughout, it is copiously illustrated with real-world examples from astronomy, electrical engineering, remote sensing and medicine. It also shows how many, more traditional, methods can be enhanced by incorporating the new wavelet and multiscale methods into the processing. For graduate students and researchers already experienced in image processing and data analysis, this book provides an indispensable guide to a wide range of exciting and original data-analysis techniques.
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Book Description:
Powerful techniques have been developed in recent years for the analysis of digital data, especially the manipulation of images. This book provides an in-depth introduction to a range of these innovative, avante-garde data-processing techniques. The unique feature of this book is the complementary blend of theory and practical application - with copious illustrations from astronomy, electrical engineering, remote sensing and medicine. It also shows how traditional methods can be enhanced with the new wavelet and multiscale methods.For graduate students and researchers experienced in image processing and data analysis, this book provides an indispensable guide to a wide range of exciting and original data-analysis techniques.
Review:
'Undoubtedly, this book will be a welcome reference for anyone interested in using various image-processing methods.' Andre Csillaghy, Scientific Computing World
"About this title" may belong to another edition of this title.
- PublisherCambridge University Press
- Publication date1998
- ISBN 10 0521590841
- ISBN 13 9780521590846
- BindingHardcover
- Number of pages297