Mathematical Image Processing : University of Orléans, France, March 29th - April 1st, 2010 / edited by Maïtine Bergounioux.
Tipo de material:
TextoSeries Springer Proceedings in Mathematics ; 5Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: x, 198 páginas recurso en líneaTipo de contenido: - texto
- computadora
- recurso en línea
- 9783642196041
- QA402.5-402.6
Springer eBooks
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.
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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