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Publications of type 'inproceedings'
Result of the query in the list of publications :
245 Conference articles |
241 - A step toward high resolution 3D SAR.
B. Pairault and M. Berthod. In Proc. European Conference on Synthetic Aperture Radar, Friedrichshafen, Germany, May 1998.
@INPROCEEDINGS{berthod98,
|
| author |
= |
{Pairault, B. and Berthod, M.}, |
| title |
= |
{A step toward high resolution 3D SAR}, |
| year |
= |
{1998}, |
| month |
= |
{May}, |
| booktitle |
= |
{Proc. European Conference on Synthetic Aperture Radar}, |
| address |
= |
{Friedrichshafen, Germany}, |
| keyword |
= |
{} |
| } |
|
242 - The two-dimensional Wold decomposition for segmentation and indexing in image libraries.
R. Stoica and J. Zerubia and J.M. Francos. In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seattle, USA, May 1998.
@INPROCEEDINGS{stoica98b,
|
| author |
= |
{Stoica, R. and Zerubia, J. and Francos, J.M.}, |
| title |
= |
{The two-dimensional Wold decomposition for segmentation and indexing in image libraries}, |
| year |
= |
{1998}, |
| month |
= |
{May}, |
| booktitle |
= |
{Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, |
| address |
= |
{Seattle, USA}, |
| url |
= |
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=678151}, |
| keyword |
= |
{} |
| } |
|
243 - Denoising by extracting fractional order singularities.
H. Shekarforoush and J. Zerubia and M. Berthod. In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seattle, USA, May 1998.
@INPROCEEDINGS{jz98a,
|
| author |
= |
{Shekarforoush, H. and Zerubia, J. and Berthod, M.}, |
| title |
= |
{Denoising by extracting fractional order singularities}, |
| year |
= |
{1998}, |
| month |
= |
{May}, |
| booktitle |
= |
{Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, |
| address |
= |
{Seattle, USA}, |
| url |
= |
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=678129}, |
| keyword |
= |
{} |
| } |
|
244 - Die Vorerarbeitung von fMRI-Daten.
F. Kruggel and X. Descombes and Y. von Cramon. In Bildverarbeitung für die Medizin, Algorithmen - Systeme - Anwendungen, Universitätsklinikum der RWTH Aachen, Germany, March 1998.
@INPROCEEDINGS{descombes98b,
|
| author |
= |
{Kruggel, F. and Descombes, X. and von Cramon, Y.}, |
| title |
= |
{Die Vorerarbeitung von fMRI-Daten}, |
| year |
= |
{1998}, |
| month |
= |
{March}, |
| booktitle |
= |
{Bildverarbeitung für die Medizin, Algorithmen - Systeme - Anwendungen}, |
| address |
= |
{Universitätsklinikum der RWTH Aachen, Germany}, |
| pdf |
= |
{Articles/Vorerarbeitung.pdf}, |
| keyword |
= |
{} |
| } |
|
245 - Fully Bayesian image segmentation-an engineering perspective.
R. Morris and X. Descombes and J. Zerubia. In Proc. IEEE International Conference on Image Processing (ICIP), Vol. 3, pages 54-57, Santa Barbara, CA, USA, October 1997.
Keywords : Bayes methods, Markov processes, Monte Carlo methods, Image sampling, Image segmentation.
@INPROCEEDINGS{MorrisICIP97,
|
| author |
= |
{Morris, R. and Descombes, X. and Zerubia, J.}, |
| title |
= |
{ Fully Bayesian image segmentation-an engineering perspective}, |
| year |
= |
{1997}, |
| month |
= |
{October}, |
| booktitle |
= |
{Proc. IEEE International Conference on Image Processing (ICIP)}, |
| volume |
= |
{3}, |
| pages |
= |
{54-57}, |
| address |
= |
{Santa Barbara, CA, USA}, |
| pdf |
= |
{http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=631978&isnumber=13718}, |
| keyword |
= |
{Bayes methods, Markov processes, Monte Carlo methods, Image sampling, Image segmentation} |
| } |
Abstract :
Developments in Markov chain Monte Carlo procedures have made it possible to perform fully Bayesian image segmentation. By this we mean that all the parameters are treated identically, be they the segmentation labels, the class parameters or the Markov random field prior parameters. We perform the analysis by sampling from the posterior distribution of all the parameters. Sampling from the MRF parameters has traditionally been considered if not intractable then at least computationally prohibitive. In the statistics literature there are descriptions of experiments showing that the MRF parameters may be sampled by approximating the partition function. These experiments are all, however, on `toy' problems; for the typical size of image encountered in engineering applications the phase transition behaviour of the models becomes a major limiting factor in the estimation of the partition function. Nevertheless, we show that, with some care, fully Bayesian segmentation can be performed on realistic sized images. We also compare the fully Bayesian approach with the approximate pseudolikelihood method |
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