Probabilistic Information Fusion for Multi-Modal Image Segmentation
Abstract
Observable evidence from disparate sources are combined coherently and consistently through a hierarchically structured knowledge tree. Prior knowledge of spatial interactions is modeled with Markov Random Fields. A posteriori probabilities of segmentations are maintained incrementally. This paper is a shortened version of [Chou and Brown 87], which contains many more references.
Cite
Text
Chou and Brown. "Probabilistic Information Fusion for Multi-Modal Image Segmentation." International Joint Conference on Artificial Intelligence, 1987.Markdown
[Chou and Brown. "Probabilistic Information Fusion for Multi-Modal Image Segmentation." International Joint Conference on Artificial Intelligence, 1987.](https://mlanthology.org/ijcai/1987/chou1987ijcai-probabilistic/)BibTeX
@inproceedings{chou1987ijcai-probabilistic,
title = {{Probabilistic Information Fusion for Multi-Modal Image Segmentation}},
author = {Chou, Paul B. and Brown, Christopher M.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1987},
pages = {779-782},
url = {https://mlanthology.org/ijcai/1987/chou1987ijcai-probabilistic/}
}