Finsler Geodesics Evolution Model for Region based Active Contours
Da Chen, Jean-Marie Mirebeau and Laurent Cohen
Abstract
In this paper, we present a new deformable model for image segmentation by building the connection between the region based active contours energy and the geodesic energy via a Finsler metric. Basically, we solve the region based active contours energy minimization problem under a nonlinear Eikonal equation framework with respect to a Finsler metric. By sampling a set of control points from the closed active contour in clockwise order, the active contours evolution problem is turned to find a collection of minimal curves joining all the control points. These minimal curves can be obtained by solving the Finsler metric based Eikonal equation. Benefiting from the well established numerical solver of the Eikonal PDE, named fast marching algorithm, our model can obtain a fast numerical solution.
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Posters 1
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DOI
10.5244/C.30.22
https://dx.doi.org/10.5244/C.30.22
Citation
Da Chen, Jean-Marie Mirebeau and Laurent Cohen. Finsler Geodesics Evolution Model for Region based Active Contours. In Richard C. Wilson, Edwin R. Hancock and William A. P. Smith, editors, Proceedings of the British Machine Vision Conference (BMVC), pages 22.1-22.12. BMVA Press, September 2016.
Bibtex
@inproceedings{BMVC2016_22,
title={Finsler Geodesics Evolution Model for Region based Active Contours},
author={Da Chen, Jean-Marie Mirebeau and Laurent Cohen},
year={2016},
month={September},
pages={22.1-22.12},
articleno={22},
numpages={12},
booktitle={Proceedings of the British Machine Vision Conference (BMVC)},
publisher={BMVA Press},
editor={Richard C. Wilson, Edwin R. Hancock and William A. P. Smith},
doi={10.5244/C.30.22},
isbn={1-901725-59-6},
url={https://dx.doi.org/10.5244/C.30.22}
}