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» Anisotropic vector diffusion in image smoothing
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TIP
1998
103views more  TIP 1998»
13 years 8 months ago
Orientation diffusions
Abstract—Diffusions are useful for image processing and computer vision because they provide a convenient way of smoothing noisy data, analyzing images at multiple scales, and en...
Pietro Perona
ISBI
2002
IEEE
14 years 9 months ago
A geometric flow for white matter fibre tract reconstruction
In magnetic resonance diffusion tensor imaging (DTI), the direction and magnitude of diffusion of water molecules is characterized by a diffusion tensor. In the central nervous sy...
Jennifer S. W. Campbell, Kaleem Siddiqi, Baba C. V...
GRAPHICSINTERFACE
2000
13 years 10 months ago
Anisotropic Feature-Preserving Denoising of Height Fields and Bivariate Data
In this paper, we present an efficient way to denoise bivariate data like height fields, color pictures or vector fields, while preserving edges and other features. Mixing surface...
Mathieu Desbrun, Mark Meyer, Peter Schröder, ...
DICTA
2007
13 years 10 months ago
Ridge Enhancement in Fingerprint Images Using Oriented Diffusion
The extraction of “Level 2” detail — ridge terminations, ridge bifurcations, bridges etc. — from digitised images of fingerprints requires an accurate segmentation of the...
Robert O. Hastings
CAIP
2009
Springer
142views Image Analysis» more  CAIP 2009»
14 years 3 months ago
Structure-Preserving Smoothing of Biomedical Images
Smoothing of biomedical images should preserve gray-level transitions between adjacent tissues, while restoring contours consistent with anatomical structures. Anisotropic diffusi...
Debora Gil, Aura Hernàndez-Sabaté, M...