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|a Mathematical Image Processing
|h [electronic resource] :
|b University of Orléans, France, March 29th - April 1st, 2010 /
|c edited by Maïtine Bergounioux.
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|a 1st ed. 2011.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2011.
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|a X, 198 p.
|b online resource.
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|a Springer Proceedings in Mathematics,
|x 2190-5622 ;
|v 5
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|a Function spaces vs. Scaling Functions: Tools for Image Classification. Stéphane Jaffard, Patrice Abry and Stéphane Roux -- A Second Order Model for 3D-texture Extraction. Maïtine Bergounioux and Minh Phuong Tran -- Analysis of Texture Anisotropy Through Extended Fractional Brownian Fields. Hermine Biermé and Frédéric J.P. Richard -- Image Reconstruction via Hypoelliptic Diffusion on the Bundle of Directions of the Plane. Ugo Boscain, Jean Duplaix, Jean-Paul Gauthier, Francesco Rossi -- Projective Invariant Features Detection and the Registration group. Françoise Dibos -- Morphological Component Analysis for Decomposing Dynamic Textures. Sloven Dubois, Renaud Péteri and Michel Ménard -- Texture Enhancing Based on Variational Image Decomposition. F. Frühauf, C. Pontow, O. Scherzer -- A Locally Anisotropic Model for Image Texture Extraction. Loïc Piffet -- A Neural Field Model for Motion Estimation. Émilien Tlapale, Pierre Kornprobst, Guillaume Masson and Olivier Faugeras -- Non-Local Regularization and Registration of Multi-Valued Images by PDE's and VariationalMethods on Higher Dimensional Spaces. David Tschumperlé and Luc Brun.
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|a The contributions appearing in this volume are a snapshot of the different topics that were discussed during the conference. They mainly concern, image reconstruction, texture extraction and image classification and involve a variety of different methods and applications. Therefore it was impossible to split the papers into generic groups which is why they are presented in alphabetic order. However they mainly concern : texture analysis (5 papers) with different techniques (variational analysis, wavelet and morphological component analysis, fractional Brownian fields), geometrical methods (2 papers ) for restoration and invariant feature detection, classification (with multifractal analysis), neurosciences imaging and analysis of Multi-Valued Images.
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|a Mathematical optimization.
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|a Computer vision.
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|a Optimization.
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|a Computer Vision.
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|a Bergounioux, Maïtine.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783642268267
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|z 9783642196034
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|i Printed edition:
|z 9783642196058
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|a Springer Proceedings in Mathematics,
|x 2190-5622 ;
|v 5
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|u https://doi.uam.elogim.com/10.1007/978-3-642-19604-1
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|a Mathematics and Statistics (SpringerNature-11649)
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|a Mathematics and Statistics (R0) (SpringerNature-43713)
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