Markov Random Field Models: A Bayesian Approach to Computer Vision Problems
نویسندگان
چکیده
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. Comments University of Pennsylvania Department of Computer and Information Science Technical Report No. MSCIS-92-29. This technical report is available at ScholarlyCommons: http://repository.upenn.edu/cis_reports/491 Markov Random Field Models: A Bayesian Approach To Computer Vision Problems MS-CIS-92-29 GRASP LAB 310
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