Mathematical Methods for Signal and Image Analysis and Representation: 41 (Computational Imaging and Vision, 41) - Image 1

£75.84

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

Name: Mathematical Methods for Signal and Image Analysis and Representation: 41 (Computational Imaging and Vision, 41)
Brand: Springer
Price: 75.84 GBP
Availability: InStock

16558783

AI & Machine Learning

About as cheap as it gets. The only time it was cheaper was 2 years ago.

£76 today · all-time low £73 (Jun 2024) · usually the usual

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Description

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. From the Back Cover 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.

Product Specifications

Brand: Springer
Model: 16558783
Format: Hardcover
ASIN: 1447123522
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 13 January 2012
Listed Since: 07 October 2011

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

About as cheap as it gets. The only time it was cheaper was 2 years ago.

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