Name
Abstract | ||
|---|---|---|
Deals with unsupervised Bayesian segmentation of images. The authors introduce a new algorithm based on a recent general method of estimation in the case of incomplete data (iterative conditional estimation). The efficiency of the method is compared with a recent algorithm based on the stochastic gradient by L. Younes (1989). Results of numerous simulations are given and an application to a real radar image is also derived |
Year | DOI | Venue |
|---|---|---|
1992 | 10.1109/ICPR.1992.201936 | International Conference on Pattern Recognition |
Keywords | DocType | Citations |
Bayes methods,Markov processes,image segmentation,parameter estimation,hidden Markov fields,iterative conditional estimation,parameter estimation,radar image,stochastic gradient,unsupervised Bayesian segmentation,unsupervised image segmentation | Conference | 3 |
PageRank | References | Authors |
1.63 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Olivier Aliagnat | 1 | 3 | 1.63 |
| Jean-Marc Boucher | 2 | 132 | 22.28 |
| Dong-Chen He | 3 | 189 | 21.81 |
| Wojciech Pieczynski | 4 | 3 | 1.63 |