Asymmetric Geodesic Distance Propagation for Active Contours
Chen, D; Spencer, JA; Mirebeau, J-M; et al.Chen, K; Cohen, L
Date: 6 September 2018
Publisher
British Machine Vision Association (BMVA)
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Abstract
The dual-front scheme is a powerful curve evolution tool for active contours and image
segmentation, which has proven its capability in dealing with various segmentation
tasks. In its basic formulation, a contour is represented by the interface of two adjacent
Voronoi regions derived from the geodesic distance map which is the ...
The dual-front scheme is a powerful curve evolution tool for active contours and image
segmentation, which has proven its capability in dealing with various segmentation
tasks. In its basic formulation, a contour is represented by the interface of two adjacent
Voronoi regions derived from the geodesic distance map which is the solution to
an Eikonal equation. The original dual-front model [17] is based on isotropic metrics,
and thus cannot take into account the asymmetric enhancements during curve evolution.
In this paper, we propose a new asymmetric dual-front curve evolution model through
an asymmetric Finsler geodesic metric, which is constructed in terms of the extended
normal vector field of the current contour and the image data. The experimental results
demonstrate the advantages of the proposed method in computational efficiency, robustness
and accuracy when compared to the original isotropic dual-front model.
Mathematics and Statistics
Faculty of Environment, Science and Economy
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