A Hierarchical Markov Random Field Model and Multitemperature Annealing for Parallel Image Classification

@article{Kato1996AHM,
  title={A Hierarchical Markov Random Field Model and Multitemperature Annealing for Parallel Image Classification},
  author={Zoltan Kato and Marc Berthod and Josiane Zerubia},
  journal={CVGIP: Graphical Model and Image Processing},
  year={1996},
  volume={58},
  pages={18-37}
}
cation [6, 7, 14, 15]. It is well known that multigrid methods can improve significantly the convergence rate and the In this paper, we are interested in massively parallel multiscale relaxation algorithms applied to image classification. quality of the final results of iterative relaxation techniques. It is well known that multigrid methods can improve signifiThere are many approaches in multigrid image segmencantly the convergence rate and the quality of the final results tation. A well known… CONTINUE READING