@inproceedings{9be5a14506a04a9e914f0d2f5edf8fd5,
title = "Estimation of mixture and unsupervised segmentation of images",
abstract = "A statistical approach is presented to the Bayesian unsupervised segmentation of images. The main problem lies in the estimation of a distribution mixture. Iterative conditional estimation provides solutions to such a problem. After a brief review of the general procedure, two stochastic algorithms are described in the case of a finite Gaussian mixture. They are applied to synthetic images corrupted by Gaussian noise in order to estimate the parameters required when performing contextual Bayesian segmentation.",
author = "Nicole Marhic and Wojciech Pieczynski",
year = "1991",
month = dec,
day = "1",
language = "English",
isbn = "0879426756",
series = "Digest - International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Publ by IEEE",
pages = "1083--1086",
editor = "Anon",
booktitle = "Digest - International Geoscience and Remote Sensing Symposium (IGARSS)",
note = "1991 International Geoscience and Remote Sensing Symposium - IGARSS'91 ; Conference date: 03-06-1991 Through 06-06-1991",
}