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» Using Python to Solve Partial Differential Equations
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ICVGIP
2008
13 years 9 months ago
Monocular Depth by Nonlinear Diffusion
Following the phenomenological approach of gestaltists, sparse monocular depth cues such as T- and X-junctions and the local convexity are crucial to identify the shape and depth ...
Jean-Michel Morel, Philippe Salembier
CVGIP
2000
124views more  CVGIP 2000»
13 years 7 months ago
Hierarchical Solutions for the Deformable Surface Problem in Visualization
In this paper we present a hierarchical approach for the deformable surface technique. This technique is a three dimensional extension of the snake segmentation method. We use it ...
Christoph Lürig, Leif Kobbelt, Thomas Ertl
TIP
2002
183views more  TIP 2002»
13 years 7 months ago
Speckle reducing anisotropic diffusion
This paper provides the derivation of speckle reducing anisotropic diffusion (SRAD), a diffusion method tailored to ultrasonic and radar imaging applications. SRAD is the edge-sens...
Yongjian Yu, Scott T. Acton
ECCV
2002
Springer
14 years 9 months ago
Constrained Flows of Matrix-Valued Functions: Application to Diffusion Tensor Regularization
Nonlinear partial differential equations (PDE) are now widely used to regularize images. They allow to eliminate noise and artifacts while preserving large global features, such as...
Christophe Chefd'Hotel, David Tschumperlé, ...
ICIP
2006
IEEE
14 years 9 months ago
Image Registration of Differently Stained Histological Sections
We have focused our interest on the registration of brightfield transmitted light microscopy images with respect to different histological stainings. For this kind of registration...
Jens Einenkel, Jens-Peer Kuska, Lars-Christian Hor...