Image Registration

Principles, Tools and Methods de

Éditeur :

Springer


Collection :

Advances in Computer Vision and Pattern Recognition

Paru le : 2012-01-11

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Description
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.
Pages
442 pages
Collection
Advances in Computer Vision and Pattern Recognition
Parution
2012-01-11
Marque
Springer
EAN papier
9781447124573
EAN EPUB
9781447124580

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
44
Taille du fichier
11776 Ko
Prix
147,69 €