Goshtasby Image Registration

Principles, Tools and Methods
1. Auflage 2012
ISBN: 978-1-4471-2458-0
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 442 Seiten

Reihe: Advances in Computer Vision and Pattern Recognition

This book 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. Features: discusses similarity/dissimilarity measures, point detectors, feature extraction/selection and homogeneous/heterogeneous descriptors; examines robust estimators, point pattern matching algorithms, transformation functions, and image resampling and blending; covers principal axes methods, hierarchical methods, optimization-based methods, edge-based methods, model-based methods, and adaptive methods; includes a glossary, an extensive list of references, and an appendix on PCA.

Zielgruppe

Research

Autoren/Hrsg.

Goshtasby, A. Ardeshir

Inhaltsverzeichnis

Introduction.- Similarity and Dissimilarity Measures.- Point Detectors.- Feature Extraction.- Image Descriptors.- Feature Selection and Heterogeneous Descriptors.- Point Pattern Matching.- Robust Parameter Estimation.- Transformation Functions.- Image Resampling and Compositing.- Image Registration Methods.- A Principal Component Analysis (PCA).