Mathematical methods for signal and image analysis and representation
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The work Mathematical methods for signal and image analysis and representation represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books, http://bibfra.me/vocab/marc/conferencepublication.
The Resource
Mathematical methods for signal and image analysis and representation
Resource Information
The work Mathematical methods for signal and image analysis and representation represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books, http://bibfra.me/vocab/marc/conferencepublication.
 Label
 Mathematical methods for signal and image analysis and representation
 Statement of responsibility
 Luc Florack [and others], editors
 Subject

 Computer vision
 Image Processing and Computer Vision
 Image processing  Digital techniques  Mathematical models
 Image processing  Digital techniques  Mathematical models
 Image processing  Digital techniques  Mathematical models
 MATHEMATICS  General
 Mathematical Applications in Computer Science
 Mathematical models
 Mathematical models
 Mathematical models
 Mathematics
 Mathematics, general
 Signal processing  Mathematical models
 Signal processing  Mathematical models
 Signal processing  Mathematical models
 Language
 eng
 Summary
 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 mdimensional empirical signal living on an ndimensional 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
 Cataloging source
 GW5XE
 Dewey number
 511/.8
 Index
 index present
 LC call number
 QA901
 LC item number
 .M38 2012
 Literary form
 non fiction
 Nature of contents

 dictionaries
 bibliography
 Series statement
 Computational imaging and vision,
 Series volume
 v. 41
Context
Context of Mathematical methods for signal and image analysis and representationWork of
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 Mathematical methods for signal and image analysis and representation, Luc Florack [and others], editors
 Mathematical methods for signal and image analysis and representation, Luc Florack [and others], editors
 Mathematical methods for signal and image analysis and representation, Luc Florack [and others], editors
 Mathematical methods for signal and image analysis and representation, Luc Florack [and others], editors
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