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Image Registration

Principles, Tools and Methods

Springer London,
Buch
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This book presents a detailed guide to image registration. It details the principles behind a vast array of tools and methods as well as compares their performances using synthetic and real data.

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Hauptbeschreibung

Titel: Image Registration
Autoren/Herausgeber: A. Ardeshir Goshtasby
Aus der Reihe: Advances in Pattern Recognition
Ausgabe: 2012

ISBN/EAN: 9781447157991

Seitenzahl: 442
Format: 23,5 x 15,5 cm
Produktform: Taschenbuch/Softcover
Gewicht: 700 g
Sprache: Englisch

Image registration is the process of finding correspondence between all points in two images of a scene – a process with numerous applications in computer vision and imaging.This comprehensive text/reference presents a thorough and detailed guide to image registration, outlining the principles and reviewing state-of-the-art tools and methods. The book begins by identifying the components of a general image registration system, and then describes the design of each component using various image analysis tools. The text reviews a vast array of tools and methods, not only describing the principles behind each tool and method, but also measuring and comparing their performances using synthetic and real data.Topics and features: discusses a broad range of image analysis tools, including similarity/dissimilarity measures, point detectors, feature extraction and homogeneous descriptors, and feature selection and heterogeneous descriptors; examines robust estimators, point pattern matching algorithms, transformation functions, and image resampling and blending; covers a large number of image registration methods, such as principal axes methods, hierarchical methods, optimization-based methods, edge-based methods, model-based methods, and adaptive methods; provides all images and data used in the book at the website http://www.imgfsr.com/book2.html, enabling the reader to reproduce the results; includes a glossary, an extensive list of references, and an appendix on principal component analysis.An excellent reference for courses on image registration, image processing, computer vision, pattern recognition, and image analysis, this unique text/guide is also suitable for image analysis software developers, engineers, and researchers interested in analyzing two or more images of a scene.

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