Mathematical Methods for Signal and Image Analysis and Representation: 41 (Computational Imaging and Vision) - Tapa blanda

Libro 8 de 20: Computational Imaging and Vision
 
9781447158905: Mathematical Methods for Signal and Image Analysis and Representation: 41 (Computational Imaging and Vision)
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ISBN 10: 1447158903 ISBN 13: 9781447158905
Editorial: Springer, 2014

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2014
Idioma
Inglés
ISBN 10 
1447158903
ISBN 13 
9781447158905
Encuadernación
Tapa blanda
Número de páginas
332
Editor
Florack Luc, Duits Remco, Jongbloed Geurt, Van Lieshout Marie-Colette, Davies Laurie
Contacto del fabricante
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Alemania

Otras ediciones populares con el mismo título

9781447123521: Mathematical Methods for Signal and Image Analysis and Representation: 41 (Computational Imaging and Vision, 41)

Edición Destacada

ISBN 10:  1447123522 ISBN 13:  9781447123521
Editorial: Springer, 2012
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