Bayesian morphology: fast unsupervised Bayesian image analysis.
Journal of the American Statistical Association, June, 1999 by Forbes, Florence; Raftery, Adrian E.
A new procedure for using Bayesian statistics in the segmentation, classification and restoration of images has been developed. The technique, called Bayesian morphology, is based on mathematical morphology and the ICM method. The idea behind this approach is that the ICM algorithm is equivalent to a form of mathematical morphology when the original image is discrete and the transmission noise can be simulated by a Potts model. It is also possible to carry out maximum likelihood estimation of the parameters using the novel scheme.
1. INTRODUCTION
We consider the problem of image segmentation or classification, or of image restoration when the true scene is made up of a small number of unordered colors. Here we consider only the generic version of this problem,...
Most Recent Reference Articles
- ARAB EUROPEAN RELATIONS - Dec 22 - Russia Denies Selling Missile System To Iran
- EGYPT - Dec 29 - Opposition Says Mubarak Blessed Israeli Attacks
- ARAB AFFAIRS - Dec 22 - Syria Will Eventually Move To Direct Talks With Israel
- ARAB AFFAIRS - Dec 30 - GCC Denounces Massacre
- ARAB ISRAELI RELATIONS - Israel Issues An Appeal To Palestinians In Gaza
Most Recent Reference Publications
Most Popular Reference Articles
- The Greek chorus, Jimmy the Greek got it wrong but so did his critics - Jimmy Snyder and his views on pro sports and race
- How Tyler Perry rose from homelessness to a $5 million mansion
- 9 questions to ask your new lover: what you were afraid to ask, but always wanted to know
- Vickie Winans: at home with the gospel star who lost 75 pounds and reenergized her career
- Free Sex Change? Move To Idaho - Brief Article



