Technical Reports (CIS)
Document Type
Technical Report
Date of this Version
April 1992
Abstract
The object of our study is the Bayesian approach in solving computer vision problems. We examine in particular: (i) applications of Markov random field (MRF) models to modeling spatial images; (ii) MRF based statistical methods for image restoration, segmentation, texture modeling and integration of different visual cues.
Recommended Citation
Gerda Kamberova, "Markov Random Field Models: A Bayesian Approach to Computer Vision Problems", . April 1992.
Date Posted: 17 August 2007
Comments
University of Pennsylvania Department of Computer and Information Science Technical Report No. MS-CIS-92-29.