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LEADER 00000cam  2200673Ki 4500 
001    773924800 
003    OCoLC 
005    20181101051203.6 
006    m     o  d         
007    cr cnu---unuuu 
008    120126s2012    enk     ob    101 0 eng d 
019    794034638|a842998619|a889191933 
020    9781447123538|q(electronic bk.) 
020    1447123530|q(electronic bk.) 
020    1447123522|q(print) 
020    9781447123521|q(print) 
020    |z9781447123521 
024 7  10.1007/978-1-4471-2353-8|2doi 
024 8  9786613576729 
035    (OCoLC)773924800|z(OCoLC)794034638|z(OCoLC)842998619
       |z(OCoLC)889191933 
037    357672|bMIL 
040    GW5XE|beng|epn|erda|cGW5XE|dE7B|dCOO|dUKMGB|dOCLCQ|dN$T
       |dOCLCF|dTPH|dYDXCP|dCDX|dORE|dOCLCQ|dOCLCO|dVT2|dOCLCQ
       |dOCLCO|dOCLCQ|dESU|dIOG|dNJR|dOCLCQ|dCEF|dU3W 
049    MAIN 
050  4 QA901|b.M38 2012 
072  7 TEC|2eflch 
072  7 PB|2bicssc 
072  7 MAT|x000000|2bisacsh 
082 04 511/.8|223 
245 00 Mathematical methods for signal and image analysis and 
       representation /|cLuc Florack [and others], editors. 
264  1 London ;|aNew York :|bSpringer,|c2012. 
300    1 online resource (xii, 317 pages). 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
340    |gpolychrome|2rdacc|0http://rdaregistry.info/termList/
       RDAColourContent/1003 
347    text file|2rdaft|0http://rdaregistry.info/termList/
       fileType/1002 
490 1  Computational imaging and vision,|x1381-6446 ;|vv. 41 
504    Includes bibliographical references (pages 291-312) and 
       index. 
505 0  A Short Introduction to Diffusion-like Methods -- Adaptive
       Filtering using Channel Representations -- 3D-Coherence-
       Enhancing 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. 
520    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. 
650  0 Mathematical models.|0http://id.loc.gov/authorities/
       subjects/sh85082124 
650  0 Image processing|xDigital techniques|0http://id.loc.gov/
       authorities/subjects/sh85064447|xMathematical models.
       |0http://id.loc.gov/authorities/subjects/sh2002007921 
650  0 Signal processing|0http://id.loc.gov/authorities/subjects/
       sh85122397|xMathematical models.|0http://id.loc.gov/
       authorities/subjects/sh2002007921 
650 12 Mathematics.|0https://id.nlm.nih.gov/mesh/D008433 
653  4 Mathematics 
653  4 Computer vision 
653  4 Mathematics, general 
653  4 Image Processing and Computer Vision 
653  4 Mathematical Applications in Computer Science 
655  4 Electronic books. 
655  7 Conference papers and proceedings.|2lcgft|0http://
       id.loc.gov/authorities/genreForms/gf2014026068 
700 1  Florack, Luc.|0http://id.loc.gov/authorities/names/
       n97086444 
776 08 |iPrinted edition:|z9781447123521 
830  0 Computational imaging and vision ;|0http://id.loc.gov/
       authorities/names/n94071648|vv. 41. 
990    SpringerLink|bSpringer English/International eBooks 2012 -
       Full Set|c2018-10-31|yNew collection 
       springerlink.ebooks2012|5OH1 
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