Corpus ID: 219176945

mrf2d: Markov random field image models in R.

@article{Freguglia2020mrf2dMR,
  title={mrf2d: Markov random field image models in R.},
  author={Victor Freguglia and Nancy L. Garcia},
  journal={arXiv: Computation},
  year={2020}
}
Markov random fields on two-dimensional lattices are behind many image analysis methodologies. mrf2d provides tools for a class of discrete stationary Markov random field models with pairwise interaction, which includes many of the popular models such as the Potts model and texture image models. The package introduces representations of dependence structures and parameters, visualization functions and efficient (C++ based) implementations of sampling algorithms, commom estimation methods and… Expand
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