Title :
A Method of the Unique Description of Finite-State Gibbs Models
Author_Institution :
Novosibirsk State Technical University, Novosibirsk, Russia
Abstract :
A new approach to determining of unique parameter vector for finite-state Gibbs models of Markov random fields is proposed.
Keywords :
Gibbs distribution; Markov random fields; parameter estimation; Additive noise; Bayesian methods; Decision making; Image processing; Image reconstruction; Lattices; Markov random fields; Parameter estimation; Probability; Vectors; Gibbs distribution; Markov random fields; parameter estimation;
Conference_Titel :
Microwave Electronics: Measurements, Identification, Applications, 2005. MEMIA '05. 5th International Conference on
Print_ISBN :
5-7782-0554-6
DOI :
10.1109/MEMIA.2005.247536