Generalized fast marching method: applications to image segmentation

@article{Forcadel2008GeneralizedFM,
  title={Generalized fast marching method: applications to image segmentation},
  author={Nicolas Forcadel and Carole Le Guyader and Christian Gout},
  journal={Numerical Algorithms},
  year={2008},
  volume={48},
  pages={189-211}
}
In this paper, we propose a segmentation method based on the generalized fast marching method (GFMM) developed by Carlini et al. (submitted). The classical fast marching method (FMM) is a very efficient method for front evolution problems with normal velocity (see also Epstein and Gage, The curve shortening flow. In: Chorin, A., Majda, A. (eds.) Wave Motion: Theory, Modelling and Computation, 1997) of constant sign. The GFMM is an extension of the FMM and removes this sign constraint by… 
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