Theory and Applications of Image Registration

Arthur Ardeshir Goshtasby, PhD, is a professor in the Department of Computer Science and Engineering at Wright State University. He is the author of 2-D and 3-D Image Registration (Wiley, 2005). Dr. Goshtasby has more than thirty years of experience in the areas of computer vision and pattern recognition and has published more than sixty journal articles and seven book chapters, addressing issues in image registration.

Throughout the book numerous real-world examples are given, illustrating how image registration can be applied to problems in various fields, including biomedicine, remote sensing, and computer vision. Many of the algorithms described in the book have been implemented, and the software packages are made available to the readers of the book on a companion website. Also covered are robust parameter estimation, validation methods, multi-temporal and multi-modality image registration, methods for determining the orientation of an image, methods for identifying locally unique neighborhoods in an image, methods for detecting lines in an image, methods for finding corresponding points and corresponding lines in images, registration of video images to create panoramas, and much more.Theory and Applications of Image Registration provides readers with a practical guide to the theory and underpinning principles. Also provided are software routines to help readers develop their image registration skills. A hands-on guide to image registration theory and methods—with examples of a wide range of real-world applicationsTheory and Applications of Image Registration offers comprehensive coverage of feature-based image registration methods. It is also a

Also covered are robust parameter estimation, validation methods, multi-temporal and multi-modality image registration, methods for determining the orientation of an image, methods for identifying locally unique neighborhoods in an image, methods for detecting lines in an image, methods for finding corresponding points and corresponding lines in images, registration of video images to create panoramas, and much more. Theory and Applications of Image Registration provides readers with a practical guide to the theory and underpinning principles. Throughout the book numerous real-world examples are given, illustrating how image registration can be applied to