A Riemannian approach to anisotropic filtering of tensor fields
From MaRDI portal
Publication:970661
DOI10.1016/j.sigpro.2006.02.049zbMath1186.94077OpenAlexW2031251087WikidataQ115341275 ScholiaQ115341275MaRDI QIDQ970661
Rachid Deriche, C. A. Castaño-Moraga, Juan Ruiz-Alzola, Christophe Lenglet
Publication date: 19 May 2010
Published in: Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.sigpro.2006.02.049
regularizationRiemannian manifolddifferential geometrynonlinear diffusiongeodesic distancetensor fieldsDT-MRIanisotropic filtering
Related Items (11)
The geodesic distance on the generalized gamma manifold for texture image retrieval ⋮ From Diffusion MRI to Brain Connectomics ⋮ Diffusion tensor smoothing through weighted Karcher means ⋮ The Riemannian geometry of the space of positive-definite matrices and its application to the regularization of positive-definite matrix-valued data ⋮ On the geometry of multivariate generalized Gaussian models ⋮ Geodesics on the manifold of multivariate generalized Gaussian distributions with an application to multicomponent texture discrimination ⋮ Robust Averaging of Covariances for EEG Recordings Classification in Motor Imagery Brain-Computer Interfaces ⋮ Manifold-Valued Data in Medical Imaging Applications ⋮ A Riemannian Bayesian framework for estimating diffusion tensor images ⋮ New Riemannian techniques for directional and tensorial image data ⋮ A two-phase-like proximal point algorithm in domains of positivity
This page was built for publication: A Riemannian approach to anisotropic filtering of tensor fields