@string{imdsp="Proceedings of International Workshop on Image and Multidimensional Digital Signal Processing"}
@InProceedings{Kato-etal93d,
  author =	 {Kato, Zoltan and Berthod, Mark and Zerubia, Josiane},
  title =	 {A Hierarchical {M}arkov Random Field Model for Image
                  Classification},
  booktitle =	 imdsp,
  year =	 1993,
  address =	 {Cannes, France},
  month =	 sep,
  organization = {IEEE},
  ps =		 {../papers/imdsp.ps},
  abstract =	 {In this paper, we propose a hierarchical Markov
                  Random Field (MRF) model. This model is based on a
                  classical multiscale model, which consists of a
                  label pyramid and a whole observation field. The
                  parameters of the coarse grid can be derived by
                  simple computation from the finest grid. In the
                  label pyramid, we have introduced a new local
                  interaction between two neighbor grids. This model
                  gives a relaxation algorithm with a new
                  annealingscheme: The Multi-Temperature Annealing
                  (MTA) scheme, which consists of associating higher
                  temperatures to higher levels, thus beeing less
                  sensitive to local minima at coarser grids. The
                  model was tested on different synthetic and real
                  images. The algorithm was implemented on a
                  Connection MachineCM200. }
}