Erik Franken
Eindhoven University of Technology
22 Papers
224 Citations
Erik Franken is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Invariant (mathematics) & Image processing. The author has an hindex of 12, co-authored 20 publications.
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Papers
Left-invariant parabolic evolutions on SE(2) and contour enhancement via invertible orientation scores. Part I: Linear left-invariant diffusion equations on SE(2)
Remco Duits,Erik Franken +1 more
TL;DR: In this paper, the authors provide explicit solutions of linear, left-invariant diffusion equations and corresponding resolvent equations on the 2D-Euclidean motion group SE(2) = R^2 x T.
Crossing-Preserving Coherence-Enhancing Diffusion on Invertible Orientation Scores
Erik Franken,Remco Duits +1 more
TL;DR: A method for coherence-enhancing diffusion on the invertible orientation score of a 2D image and two explicit finite-difference schemes to apply the nonlinear diffusion in the orientation score and provide a stability analysis are proposed.
Left-invariant parabolic evolutions on SE(2) and contour enhancement via invertible orientation scores. Part II: Non-linear left-invariant diffusions on invertible orientation scores
Remco Duits,Erik Franken +1 more
TL;DR: In this paper, a wavelet unitary transform is used to construct an orientation score from a grey-value image, which is a complex-valued function on the 2D Euclidean motion group SE(2) and gives us explicit information on the presence of local orientations.
Crossing-preserving coherence-enhancing diffusion on invertible orientation scores
Erik Franken,Remco Duits +1 more
- 01 Jan 2008
TL;DR: In this article, a method for coherence-enhancing diffusion on the invertible orientation score of a 2D image is proposed, where the local orientation is represented by an additional third dimension, ensuring that crossing elongated structures are separated from each other.
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•Journal Article
An Efficient Method for Tensor Voting Using Steerable Filters
Erik Franken,Markus van Almsick,Peter Maria Johannes Rongen,Luc Florack,Bart M. ter Haar Romeny +4 more
TL;DR: This paper presents a new computational scheme for tensor voting on a dense field of rank-2 tensors using steerable filter theory, and provides speed measurements to indicate the gain in speed, and illustrates the use of steerable tensor Voting on medical applications.
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