Name
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 |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/ICPR.1996.546853 | ICPR |
Keywords | Field | DocType |
variational principle,statistical-mechanical algorithm,mrf model,statistical mechanics,edge,image restoration,statistical analysis,annealing,bayesian methods,markov processes,lattices,constraint optimization,computer science,edge detection,data engineering | Markov process,Lattice (order),Markov random field,Edge detection,Algorithm,Variational principle,Image restoration,Mathematics,Bayesian probability,Constrained optimization | Conference |
Volume | ISSN | ISBN |
2 | 1051-4651 | 0-8186-7282-X |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| K. Tanaka | 1 | 2967 | 377.99 |
| M. Ichioka | 2 | 1 | 0.37 |
| T. Morita | 3 | 11 | 2.24 |