GVF-based anisotropic diffusion models
Authors: Yu, H. and Chua, C.-S.
Journal: IEEE Transactions on Image Processing
Volume: 15
Pages: 1517-1524
ISSN: 1057-7149
DOI: 10.1109/TIP.2006.871143
Abstract:In this paper, the gradient vector flow fields are introduced in image restoration. Within the context of flow fields, the shock filter, mean curvature flow, and Perona-Malik equation are reformulated. Many advantages over the original models can be obtained; these include numerical stability, large capture range, and high-order derivative estimation. In addition, a fairing process is introduced in the anisotropic diffusion, which contains a fourth-order derivative and is reformulated as the intrinsic Laplacian of curvature under the level set framework. By applying this fairing process, the shape boundaries will become more apparent. In order to overcome numerical errors, the intrinsic Laplacian of curvature is computed from the gradient vector flow fields instead of the observed images.
https://eprints.bournemouth.ac.uk/14068/
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1632205&tag=1
Source: Manual
Preferred by: Hongchuan Yu
GVF-based anisotropic diffusion models.
Authors: Yu, H. and Chua, C.-S.
Journal: IEEE Trans. Image Process.
Volume: 15
Pages: 1517-1524
DOI: 10.1109/TIP.2006.871143
https://eprints.bournemouth.ac.uk/14068/
Source: DBLP
GVF-based anisotropic diffusion models
Authors: Yu, H. and Chua, C.-S.
Journal: IEEE Transactions on Image Processing
Volume: 15
Issue: 6
Pages: 1517-1524
ISSN: 1057-7149
Abstract:In this paper, the gradient vector flow fields are introduced in image restoration. Within the context of flow fields, the shock filter, mean curvature flow, and Perona-Malik equation are reformulated. Many advantages over the original models can be obtained; these include numerical stability, large capture range, and high-order derivative estimation. In addition, a fairing process is introduced in the anisotropic diffusion, which contains a fourth-order derivative and is reformulated as the intrinsic Laplacian of curvature under the level set framework. By applying this fairing process, the shape boundaries will become more apparent. In order to overcome numerical errors, the intrinsic Laplacian of curvature is computed from the gradient vector flow fields instead of the observed images.
https://eprints.bournemouth.ac.uk/14068/
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1632205&tag=1
Source: BURO EPrints