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Asymmetric Geodesic Distance Propagation for Active Contours

Chen, Da; Spencer, Jack A.; Mirabeau, Jean-Marie; Chen, Ke; Cohen, Laurent D. (2018), Asymmetric Geodesic Distance Propagation for Active Contours, British Machine Vision Association (BMVA), University of Exeter : Exeter

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Type
Communication / Conférence
Date
2018
Conference title
29th British Machine Vision Conference (BMVC'18)
Conference date
2018-09
Conference city
Newcastle
Conference country
United Kingdom
Book title
British Machine Vision Association (BMVA)
Publisher
University of Exeter
Published in
Exeter
Metadata
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Author(s)
Chen, Da

Spencer, Jack A.

Mirabeau, Jean-Marie

Chen, Ke

Cohen, Laurent D.
CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Abstract (EN)
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.
Subjects / Keywords
Traitement des images

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