DocumentCode :
2406228
Title :
Statistical-mechanical algorithm in MRF model based on variational principle
Author :
Tanaka, Kiyoshi
Author_Institution :
Dept. of Comput. Sci. & Syst. Eng., Muroran Inst. of Technol., Hokkaido
Volume :
2
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
381
Abstract :
The Markov random field (MRF) model, which is a method in the image restoration, is reformulated, based on the variational principle of the difference minimum between the original and damaged image datas, under the constraints for the area of black faces, the boundary length between the different darkness and the number of corners in the edge. Moreover, a new method is proposed for the estimation of the areas of black faces, the boundary length between the different darkness and the number of corners in the edge from only the damaged image
Keywords :
Markov processes; edge detection; image restoration; statistical analysis; variational techniques; MRF model; Markov random field model; boundary length; difference minimum; edge; image restoration; statistical-mechanical algorithm; variational principle; Annealing; Bayesian methods; Computer science; Constraint optimization; Data engineering; Educational institutions; Image restoration; Lattices; Markov random fields; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
ISSN :
1051-4651
Print_ISBN :
0-8186-7282-X
Type :
conf
DOI :
10.1109/ICPR.1996.546853
Filename :
546853
Link To Document :
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