@string{icassp="Proceedings of International Conference on Acoustics, Speech and Signal Processing"}
@InProceedings{Kato-etal95a,
  author =	 {Kato, Zoltan and Berthod, Mark and Zerubia, Josiane
                  and Pieczynski, Wojciech},
  title =	 {Unsupervised Adaptive Image Segmentation},
  booktitle =	 icassp,
  year =	 1995,
  volume =	 4,
  pages =	 {2399--2402},
  address =	 {Detroit, Michigan, USA},
  month =	 may,
  organization = {IEEE},
  pdf =           {papers/icassp95.pdf},
  abstract =	 {This paper deals with the problem of unsupervised
                  Bayesian segmentation 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 annealing, ICM,
                  etc...). However, when they are not known, the
                  problem becomes more difficult. One has to estimate
                  the hidden label field parameters from the available
                  image only. Our approach consists of a recent
                  iterative method of estimation, called iterative
                  conditional estimation (ICE), applied to a monogrid
                  Markovian image segmentation model. The method has
                  been tested on synthetic and real satellite images.}
}