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EUROCAST
2003
Springer
93views Hardware» more  EUROCAST 2003»
13 years 10 months ago
Tensor Field Regularization Using Normalized Convolution
Abstract. This paper presents a filtering technique for regularizing tensor fields. We use a nonlinear filtering technique termed normalized convolution [Knutsson and Westin 199...
Carl-Fredrik Westin, Hans Knutsson
ECCV
2006
Springer
13 years 8 months ago
An Efficient Method for Tensor Voting Using Steerable Filters
In many image analysis applications there is a need to extract curves in noisy images. To achieve a more robust extraction, one can exploit correlations of oriented features over a...
Erik Franken, Markus van Almsick, Peter Rongen, Lu...
MICCAI
2003
Springer
14 years 5 months ago
Visualization of Neural DTI Vector Fields Using Line Integral Convolution
Abstract. Diffusion Tensor Imaging (DTI) provides voxel-wise information related to the local diffusion anisotropy. Recent research efforts have centered around the use of this inf...
Sean C. L. Deoni, B. K. Rutt, Terry M. Peters
CGF
2004
114views more  CGF 2004»
13 years 4 months ago
Smooth Surface Reconstruction Using Tensor Fields as Structuring Elements
We propose a new strategy to estimate surface normal information from highly noisy sparse data. Our approach is based on a tensor field morphologically adapted to infer normals. I...
Marcelo Bernardes Vieira, Paulo P. Martins Jr., Ar...
MICCAI
2004
Springer
14 years 5 months ago
3D Bayesian Regularization of Diffusion Tensor MRI Using Multivariate Gaussian Markov Random Fields
3D Bayesian regularization applied to diffusion tensor MRI is presented here. The approach uses Markov Random Field ideas and is based upon the definition of a 3D neighborhood syst...
Marcos Martín-Fernández, Carl-Fredri...