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CVPR
2009
IEEE
15 years 26 days ago
Curvature and Singularity Driven Diffusion for Oriented Pattern Enhancement with Singular Points
Oriented patterns, e.g. fingerprints, consist of smoothly varying flow-like patterns, together with important singular points (i.e. cores and deltas) where the orientation change...
Qijun Zhao (The Hong Kong Polytechnic University),...
TIP
1998
103views more  TIP 1998»
13 years 5 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
ECCV
2006
Springer
14 years 7 months ago
Curvature-Preserving Regularization of Multi-valued Images Using PDE's
Abstract. We are interested in diffusion PDE's for smoothing multi-valued images in an anisotropic manner. By pointing out the pros and cons of existing tensor-driven regulari...
David Tschumperlé
FIMH
2005
Springer
13 years 11 months ago
A Deterministic-Statistic Adventitia Detection in IVUS Images
Plaque analysis in IVUS planes needs accurate intima and adventitia models. Large variety in adventitia descriptors difficulties its detection and motivates using a classification...
Debora Gil, Aura Hernandez, Antoni Carol, Oriol Ro...
VISUALIZATION
2005
IEEE
13 years 11 months ago
Visualization of White Matter Tracts with Wrapped Streamlines
Diffusion tensor imaging is a magnetic resonance imaging method which has gained increasing importance in neuroscience and especially in neurosurgery. It acquires diffusion proper...
Frank Enders, Natascha Sauber, Dorit Merhof, Peter...