Asymmetric geodesic distance propagation for active contours

Da Chen, Jack Spencer, Jean Marie Mirebeau, Ke Chen, Laurent D. Cohen

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

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 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.

Original languageEnglish
Publication statusPublished - 6 Sept 2018
Event29th British Machine Vision Conference, BMVC 2018 - Newcastle, United Kingdom
Duration: 3 Sept 20186 Sept 2018

Conference

Conference29th British Machine Vision Conference, BMVC 2018
Country/TerritoryUnited Kingdom
CityNewcastle
Period3/09/186/09/18

Keywords

  • active contours
  • image segmentation
  • dual-front model

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