FAIR : Flexible Algorithms for Image Registration

Jan Modersitzki

ISBN 10: 089871690X / ISBN 13: 9780898716900

Published by Cambridge University Press Jan 2011, 2011

About this Item

Neuware - 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.

Seller Inventory # 9780898716900

Bibliographic Details

• Title: FAIR : Flexible Algorithms for Image Registration
• Publisher: Cambridge University Press Jan 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 089871690X
• ISBN 13: 9780898716900
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 256W x 181H x 13D millimeters 256 millimeters width by 181 millimeters height by 13 millimeters depth
• Weight: 400 grams

About this title

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.

About the Author

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.