An Efficient Lagrangian Algorithm for an Anisotropic Geodesic Active Contour Model

Günay Dogan. An Efficient Lagrangian Algorithm for an Anisotropic Geodesic Active Contour Model. In François Lauze, Yiqiu Dong, Anders Bjorholm Dahl, editors, Scale Space and Variational Methods in Computer Vision - 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings. Volume 10302 of Lecture Notes in Computer Science, pages 408-420, Springer, 2017. [doi]

@inproceedings{Dogan17,
  title = {An Efficient Lagrangian Algorithm for an Anisotropic Geodesic Active Contour Model},
  author = {Günay Dogan},
  year = {2017},
  doi = {10.1007/978-3-319-58771-4_33},
  url = {https://doi.org/10.1007/978-3-319-58771-4_33},
  researchr = {https://researchr.org/publication/Dogan17},
  cites = {0},
  citedby = {0},
  pages = {408-420},
  booktitle = {Scale Space and Variational Methods in Computer Vision - 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings},
  editor = {François Lauze and Yiqiu Dong and Anders Bjorholm Dahl},
  volume = {10302},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-58771-4},
}