Výsledky vyhledávání

Line enhancement and completion via linear left-invariant scale spaces on SE(2)

Autor: Duits, R., Franken, E.M., Tai, X.-C., Morken, K., Lysaker, M., Lie, K.A.

Publikováno v: Lecture Notes in Computer Science ISBN: 9783642022555
SSVM
Scale Space and Variational Methods in Computer Vision (Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009, Proceedings), 795-807
STARTPAGE=795;ENDPAGE=807;TITLE=Scale Space and Variational Methods in Computer Vision (Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009, Proceedings)

From an image we construct an invertible orientation score, which provides an overview of local orientations in an image. This orientation score is a function on the group SE (2) of both positions and orientations. It allows us to diffuse along multi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a92b57a542487a97f89478b6f04fd8ec
https://doi.org/10.1007/978-3-642-02256-2_66

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Coarse-to-fine image reconstruction based on weighted differential features and background Gauge fields

Autor: Janssen, Bart J., Duits, Remco, Florack, Luc, Tai, X.-C., Morken, K., Lysaker, M., Lie, K.A.

Publikováno v: Scale Space and Variational Methods in Computer Vision (Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009, Proceedings), 377-388
STARTPAGE=377;ENDPAGE=388;TITLE=Scale Space and Variational Methods in Computer Vision (Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009, Proceedings)
Lecture Notes in Computer Science ISBN: 9783642022555
SSVM

We propose an iterative approximate reconstruction method where we minimize the difference between reconstructions from subsets of multi scale measurements. To this end we interpret images not as scalar-valued functions but as sections through a fibe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6c64fdf1687fa3c665e5ba564ae4946
https://doi.org/10.1007/978-3-642-02256-2_32

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Scale spaces on the 3D Euclidean motion group for enhancement of HARDI data

Autor: Franken, E.M., Duits, R., Tai, X.-C., Morken, K., Lysaker, M., Lie, K.A.

Publikováno v: Scale Space and Variational Methods in Computer Vision (Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009, Proceedings), 820-831
STARTPAGE=820;ENDPAGE=831;TITLE=Scale Space and Variational Methods in Computer Vision (Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009, Proceedings)
Lecture Notes in Computer Science ISBN: 9783642022555
SSVM

In previous work we studied linear and nonlinear left-invariant diffusion equations on the 2D Euclidean motion group SE(2), for the purpose of crossing-preserving coherence-enhancing diffusion on 2D images. In this paper we study left-invariant diffu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e3a8d63b20cc55a6e0694771cc6a597
https://doi.org/10.1007/978-3-642-02256-2_68

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Basic image features (BIFs) arising from approximate symmetry type

Autor: Griffin, L.D., Lillholm, M., Crosier, M., Sande, Van, J., Tai, Xue-Cheng, Mørken, K., Lysaker, M., Lie, K.A.

Publikováno v: Proceedings of the 2nd International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2009) 1-5 June 2009, Voss, Norway, 343-355
STARTPAGE=343;ENDPAGE=355;TITLE=Proceedings of the 2nd International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2009) 1-5 June 2009, Voss, Norway
Lecture Notes in Computer Science ISBN: 9783642022555
SSVM

We consider detection of local image symmetry using linear filters. We prove a simple criterion for determining if a filter is sensitive to a group of symmetries. We show that derivative-of-Gaussian (DtG) filters are excellent at detecting local imag

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a58c8036acbcfc722564c86cdac93bc
https://research.tue.nl/nl/publications/bc341794-ac4a-43cb-a7f8-985e967e7de8

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A multi-scale feature based optic flow method for 3D cardiac motion estimation

Autor: Becciu, Alessandro, Assen, Hans C. van, Florack, Luc, Kozerke, Sebastian, Roode, Vivian, Romeny, Bart M. ter Haar, Tai, X.-C., Morken, K., Lysaker, M., Lie, K.A.

Publikováno v: Scale Space and Variational Methods in Computer Vision (Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009, Proceedings), 588-599
STARTPAGE=588;ENDPAGE=599;TITLE=Scale Space and Variational Methods in Computer Vision (Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009, Proceedings)
Lecture Notes in Computer Science ISBN: 9783642022555
SSVM

The dynamic behavior of the cardiac muscle is strongly dependent on heart diseases. Optic flow techniques are essential tools to assess and quantify the contraction of the cardiac walls. Most of the current methods however are restricted to the analy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b1719e341913d427c8a35324614146f
https://doi.org/10.1007/978-3-642-02256-2_49

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Finsler geometry on higher order tensor fields and applications to high angular resolution diffusion imaging

Autor: Astola, Laura, Florack, Luc, Tai, X.-C., Morken, K., Lysaker, M., Lie, K.A.

Publikováno v: Scale Space and Variational Methods in Computer Vision (Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009, Proceedings), 224-234
STARTPAGE=224;ENDPAGE=234;TITLE=Scale Space and Variational Methods in Computer Vision (Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009, Proceedings)
Lecture Notes in Computer Science ISBN: 9783642022555
SSVM

We study three dimensional volumes of higher order tensors, using Finsler geometry. The application considered here is in medical image analysis, specifically High Angular Resolution Diffusion Imaging (HARDI) [1] of the brain. We want to find robust

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ada1fb8aebd0d14f54195cbe26be5c9
https://research.tue.nl/en/publications/4949b32b-d4f9-4a4b-9ab5-844b9bb8c7dc

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The Multigrid Image Transform

Autor: Zeeuw, Paul, Tai, Xue-Cheng, Lie, K.A., Chan, T.F., Osher, S.

A second order partial differential operator is applied to an image function. To this end we consider both the Laplacian and a more general elliptic operator. By using a multigrid operator known from the so-called approximation property, we derive a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::363963526c3f85fc3fc6d7ff0cc498a6
https://ir.cwi.nl/pub/13916

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