Geometric Methods in Signal and Image Analysis
Published on 2. July 2015
978-1-316-35496-4 (ISBN)
Description
This comprehensive guide offers a new approach for developing and implementing robust computational methodologies that uncover the key geometric and topological information from signals and images. With the help of detailed real-world examples and applications, readers will learn how to solve complex signal and image processing problems in fields ranging from remote sensing to medical imaging, bioinformatics, robotics, security, and defence. With an emphasis on intuitive and application-driven arguments, this text covers not only a range of methods in use today, but also introduces promising new developments for the future, bringing the reader up-to-date with the state of the art in signal and image analysis. Covering basic principles as well as advanced concepts and applications, and with examples and homework exercises, this is an invaluable resource for graduate students, researchers, and industry practitioners in a range of fields including signal and image processing, biomedical engineering, and computer graphics.
More details
Language
English
Place of publication
Cambridge
United Kingdom
Publishing group
Cambridge University Press
Target group
Professional and scholarly
Illustrations
Worked examples or Exercises; 3 Tables, black and white; 150 Halftones, unspecified; 61 Line drawings, unspecified
File size
34818,23 MB
ISBN-13
978-1-316-35496-4 (9781316354964)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Hamid Krim | Abdessamad Ben Hamza
Geometric Methods in Signal and Image Analysis
Book
06/2015
Cambridge University Press
€88.00
Shipment within 15-20 days
Persons
H. Krim is Professor of Electrical and Computer Engineering and Director of the Vision, Information and Statistical Signal Theories and Applications group at North Carolina State University. Previously he was a Member of Technical Staff at AT&T Bell Labs and has spent nearly two decades bringing geometric and topological tools to solve real-world and applied problems in signal and image analysis, developing innovative tools which are being used in industry and government alike. Abdessamad Ben Hamza is Associate Professor and Associate Director of the Concordia Institute for Information Systems Engineering (CIISE) at Concordia University, Montreal. Previously he was a postdoctoral research associate at Duke University in North Carolina, affiliated with both the Department of Electrical and Computer Engineering and the Fitzpatrick Center for Photonics and Communications Systems. He is also a licensed Professional Engineer and a Senior Member of the IEEE.
Content
1. Introduction; 2. Fundamentals of group theory; 3. Vector spaces; 4. Differential geometry of curves and surfaces; 5. Geometric and differential topology of manifolds; 6. Computational algebraic topology.
