Unsupervised Parallel Image Classificiation Using a Hierarchical Markovian Model

@inproceedings{Kato1995UnsupervisedPI,
  title={Unsupervised Parallel Image Classificiation Using a Hierarchical Markovian Model},
  author={Zoltan Kato and Josiane Zerubia and Marc Berthod},
  booktitle={ICCV},
  year={1995}
}
This paper deals with the problem of unsupervised classiication of images modeled by Markov Random Fields (MRF). If the model parameters are known then we have various methods to solve the segmentation problem (simulated anneal-ing, ICM, etc: : :). However, when they are not known, the problem becomes more diicult. One has to estimate the hidden label eld… CONTINUE READING