Publications

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Search for Publication


Year(s) from:  to 
Author:
Keywords (separated by spaces):

Bayesian Image Segmentation using a Dynamic Pyramidal Structure

H. Rehrauer, K. Seidel and M. Datcu
Maximum Entropy and Bayesian Methods
1998

Abstract

We present a Bayesian segmentation algorithm which is part of a fully Bayesian approach for automatic information extraction from satellite images. It was shown that pyramidal image models based on multi-scale Markov random fields in combination with a texture model yield good classification and segmentation results. The texture model is used for an initial characterization and then an optimal segmentation is inferred using the multi-scale random field defined on a pyramid structure. Segment probabilities are calculated in a fine-to-rough analysis and segmentation is performed by a rough-to-fine decision algorithm that maximizes the a posteriori probability of the pyramid. The procedure is iterated until it converges to a stable solution.
We improve the maximization procedure by optimizing the underlying pyramidal structure of the multi-scale Markov random field. Neighborhood dependencies are switched on and off according to the image data. The hierarchical organization allows a fast computation and the segmentations obtained are smooth, even at coarse scales. Additionally it has the advantage to be exactly tractable.


Download in pdf format
@InProceedings{eth_biwi_00143,
  author = {H. Rehrauer and K. Seidel and M. Datcu},
  title = {Bayesian Image Segmentation using a Dynamic Pyramidal Structure},
  booktitle = {Maximum Entropy and Bayesian Methods},
  year = {1998},
  editor = {W. Linden and V.Dose and R. Fischer and R. Preuss},
  series = {Fundamental Theories of Physics},
  keywords = {remote sensing,scale space,dynamic,non-parametric,texture}
}