Theory And Applications Of Image Registration

The book introduces the theory, methods, and applications of image registration. The fundamental issues in image registration including image orientation detection, similarity measures, feature extractions, and elastic transformation functions are discussed. The book also covers other important topics in image registration such as robust parameter estimation, types of validations, and multi-temporal and multi-modality imaging. The applications of image registration methods in biomedicine, remote sensing, and image processing are illustrated with a set of software routines for a hands-on experience in image registration implementation. This hands-on approach provides reader with a logical balance between the theoretical and applications-based aspects of image registration.

Arthur A. Goshtasby, PhD, is a professor in the Department of Computer Science and Engineering at Wright State University.?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. He is the author of 2-D and 3-D Image Registration (Wiley, 2005).