lieeeeee/graphcuts

Graph cuts segmentation with kernel shape priors

Graph cuts segmentation with kernel density shape prior

Graph cuts segmentation with kernel shape priors (ImageJ/Fiji plugin)

This method is based on the method in the paper

Chang, Joshua C., and Tom Chou. Iterative graph cuts for image segmentation with a nonlinear statistical shape prior. Journal of Mathematical Imaging and Vision (2012): 1-11. DOI:10.1007/s10851-013-0440-9. link

@article{chang2014iterative,
  title={Iterative graph cuts for image segmentation with a nonlinear statistical shape prior},
  author={Chang, Joshua C and Chou, Tom},
  journal={Journal of mathematical imaging and vision},
  volume={49},
  number={1},
  pages={87--97},
  year={2014},
  publisher={Springer}
}

Please cite this paper if you found the code or ideas useful to you in your research.

Initial commit doesn't have method for annealed relaxation.