Mathematical methods for signal and image analysis and representation

Mathematical Methods for Signal and Image Analysis and Representation presents the mathematical methodology for generic image analysis tasks. In the context of this book an image may be any m-dimensional empirical signal living on an n-dimensional smooth manifold (typically, but not necessarily, a s...

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Wedi'i Gadw mewn:
Manylion Llyfryddiaeth
Prif Awdur: Florack, Luc (Golygydd)
Awduron Eraill: Duits, Remco (Golygydd), Jongbloed, Geurt (Golygydd), van Lieshout, Marie-Colette (Golygydd), Davies, Laurie (Golygydd), van Lieshout, Marie-Colette, 19..- (Golygydd)
Fformat: Livre numérique
Iaith:Anglais
Cyhoeddwyd: London : Springer London [20..].
Cham : Springer Nature
Rhifyn:1st ed. 2012.
Cyfres:Computational Imaging and Vision 41
Pynciau:
Mynediad Ar-lein:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nodyn: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Mathematical methods for signal and image analysis and representation, edité par Luc Florack, Marie-Colette van Lieshout, Remco Duits, Laurie Davies, London, Springer, 2012, 1 vol. (XII-317 p.)., Computational imaging and vision, 978-1-447-12352-1
• Mathematical Methods for Signal and Image Analysis and Representation, Texte imprimé, 9781447158905
• Mathematical methods for signal and image analysis and representation, edité par Luc Florack, Marie-Colette van Lieshout, Remco Duits, Laurie Davies, London, Springer, 2012, 1 vol. (XII-317 p.)., Computational imaging and vision, 978-1-447-12352-1
• Mathematical Methods for Signal and Image Analysis and Representation, Texte imprimé, 9781447123545
Disgrifiad
Crynodeb:Mathematical Methods for Signal and Image Analysis and Representation presents the mathematical methodology for generic image analysis tasks. In the context of this book an image may be any m-dimensional empirical signal living on an n-dimensional smooth manifold (typically, but not necessarily, a subset of spacetime). The existing literature on image methodology is rather scattered and often limited to either a deterministic or a statistical point of view. In contrast, this book brings together these seemingly different points of view in order to stress their conceptual relations and formal analogies. Furthermore, it does not focus on specific applications, although some are detailed for the sake of illustration, but on the methodological frameworks on which such applications are built, making it an ideal companion for those seeking a rigorous methodological basis for specific algorithms as well as for those interested in the fundamental methodology per se. Covering many topics at the forefront of current research, including anisotropic diffusion filtering of tensor fields, this book will be of particular interest to graduate and postgraduate students and researchers in the fields of computer vision, medical imaging and visual perception
Disgrifiad o'r Eitem:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9781447123538
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