The Resource 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
Resource Information
The item Mathematical methods for signal and image analysis and representation, Luc Florack [and others], editors represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Mathematical methods for signal and image analysis and representation, Luc Florack [and others], editors represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
 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
 Language
 eng
 Extent
 1 online resource (xii, 317 pages).
 Contents

 A Short Introduction to Diffusionlike Methods
 Adaptive Filtering using Channel Representations
 3DCoherenceEnhancing Diffusion Filtering for Matrix Fields
 Structural Adaptive Smoothing: Principles and Applications in Imaging
 SPD Tensors Regularization via Iwasawa Decomposition
 Sparse Representation of Video Data by Adaptive Tetrahedralizations
 Continuous Diffusion Wavelet Transforms and Scale Space over Euclidean Spaces and Noncommutative Lie Groups
 Left Invariant Evolution Equations on Gabor Transforms
 Scale Space Representations Locally Adapted to the Geometry of Base and Target Manifold
 An A Priori Model of Line Propagation
 Local Statistics on Shape Diffeomorphisms using a Depth Potential Function
 Preserving Time Structures while Denoising a Dynamical Image
 Interacting Adaptive Filters for Multiple Objects Detection
 Visual Data Recognition and Modeling based on Local Markovian Models
 Locally Specified Polygonal Markov Fields for Image Segmentation
 Regularization with Approximated L2 Maximum Entropy Method
 Isbn
 9781447123521
 Label
 Mathematical methods for signal and image analysis and representation
 Title
 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
 http://library.link/vocab/relatedWorkOrContributorName
 Florack, Luc
 Series statement
 Computational imaging and vision,
 Series volume
 v. 41
 http://library.link/vocab/subjectName

 Mathematical models
 Image processing
 Signal processing
 Mathematics
 MATHEMATICS
 Image processing
 Mathematical models
 Signal processing
 Label
 Mathematical methods for signal and image analysis and representation, Luc Florack [and others], editors
 Antecedent source
 unknown
 Bibliography note
 Includes bibliographical references (pages 291312) and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 A Short Introduction to Diffusionlike Methods  Adaptive Filtering using Channel Representations  3DCoherenceEnhancing Diffusion Filtering for Matrix Fields  Structural Adaptive Smoothing: Principles and Applications in Imaging  SPD Tensors Regularization via Iwasawa Decomposition  Sparse Representation of Video Data by Adaptive Tetrahedralizations  Continuous Diffusion Wavelet Transforms and Scale Space over Euclidean Spaces and Noncommutative Lie Groups  Left Invariant Evolution Equations on Gabor Transforms  Scale Space Representations Locally Adapted to the Geometry of Base and Target Manifold  An A Priori Model of Line Propagation  Local Statistics on Shape Diffeomorphisms using a Depth Potential Function  Preserving Time Structures while Denoising a Dynamical Image  Interacting Adaptive Filters for Multiple Objects Detection  Visual Data Recognition and Modeling based on Local Markovian Models  Locally Specified Polygonal Markov Fields for Image Segmentation  Regularization with Approximated L2 Maximum Entropy Method
 Control code
 773924800
 Dimensions
 unknown
 Extent
 1 online resource (xii, 317 pages).
 File format
 unknown
 Form of item
 online
 Isbn
 9781447123521
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number

 10.1007/9781447123538
 9786613576729
 http://library.link/vocab/ext/overdrive/overdriveId
 357672
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number
 (OCoLC)773924800
 Label
 Mathematical methods for signal and image analysis and representation, Luc Florack [and others], editors
 Antecedent source
 unknown
 Bibliography note
 Includes bibliographical references (pages 291312) and index
 Carrier category
 online resource
 Carrier category code

 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 A Short Introduction to Diffusionlike Methods  Adaptive Filtering using Channel Representations  3DCoherenceEnhancing Diffusion Filtering for Matrix Fields  Structural Adaptive Smoothing: Principles and Applications in Imaging  SPD Tensors Regularization via Iwasawa Decomposition  Sparse Representation of Video Data by Adaptive Tetrahedralizations  Continuous Diffusion Wavelet Transforms and Scale Space over Euclidean Spaces and Noncommutative Lie Groups  Left Invariant Evolution Equations on Gabor Transforms  Scale Space Representations Locally Adapted to the Geometry of Base and Target Manifold  An A Priori Model of Line Propagation  Local Statistics on Shape Diffeomorphisms using a Depth Potential Function  Preserving Time Structures while Denoising a Dynamical Image  Interacting Adaptive Filters for Multiple Objects Detection  Visual Data Recognition and Modeling based on Local Markovian Models  Locally Specified Polygonal Markov Fields for Image Segmentation  Regularization with Approximated L2 Maximum Entropy Method
 Control code
 773924800
 Dimensions
 unknown
 Extent
 1 online resource (xii, 317 pages).
 File format
 unknown
 Form of item
 online
 Isbn
 9781447123521
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code

 c
 Other control number

 10.1007/9781447123538
 9786613576729
 http://library.link/vocab/ext/overdrive/overdriveId
 357672
 Quality assurance targets
 not applicable
 Reformatting quality
 unknown
 Sound
 unknown sound
 Specific material designation
 remote
 System control number
 (OCoLC)773924800
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
Member of
Library Links
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Mathematicalmethodsforsignalandimage/o5CbuM4UyiA/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Mathematicalmethodsforsignalandimage/o5CbuM4UyiA/">Mathematical methods for signal and image analysis and representation, Luc Florack [and others], editors</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data  Experimental
Data Citation of the Item Mathematical methods for signal and image analysis and representation, Luc Florack [and others], editors
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Mathematicalmethodsforsignalandimage/o5CbuM4UyiA/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Mathematicalmethodsforsignalandimage/o5CbuM4UyiA/">Mathematical methods for signal and image analysis and representation, Luc Florack [and others], editors</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>