@inproceedings{dfbf7a7818a3439b9222ca778fe81123,
title = "Fuzzy statistical unsupervised image segmentation",
abstract = "This paper deals with fuzzy Bayesian unsupervised image segmentation. At first, we introduce a new model and a method for its simulation. The images obtained that way are corrupted with Gaussian, white or correlated, noise. A blind Bayesian segmentation is performed using parameters estimated by the SEM algorithm adapted to our model. Finally this segmentation is compared with a classical method without taking into account the fuzzy class.",
author = "H. Caillol and W. Pieczynski",
note = "Publisher Copyright: {\textcopyright} IEEE 1992.; 12th Annual International Geoscience and Remote Sensing Symposium, IGARSS 1992 ; Conference date: 26-05-1992 Through 29-05-1992",
year = "1992",
month = jan,
day = "1",
doi = "10.1109/IGARSS.1992.578461",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS) ",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1391--1394",
editor = "Ruby Williamson and Tammy Stein",
booktitle = "IGARSS 1992 - International Geoscience and Remote Sensing Symposium",
}