DocumentCode
290161
Title
Approximate covariance functions for gray-level Gibbs random fields
Author
Elfadel, Ibrahim M.
Author_Institution
Res. Lab. of Electron., MIT, Cambridge, MA, USA
Volume
v
fYear
1994
fDate
19-22 Apr 1994
Abstract
In this paper, we depart from the usual engineering approach for estimating the means and correlations of gray-level Gibbs random field (GRF) image models using Monte Carlo simulation and show that it is possible to obtain analytical estimates based on the mean-field approximation of statistical physics. In particular, we give a closed-form formula for the covariance matrix of a gray-level GRF model in the case where the coupling between gray levels is quadratic
Keywords
covariance analysis; estimation theory; image processing; probability; random processes; statistics; analytical estimates; approximate covariance functions; closed-form formula; correlation estimation; gray-level Gibbs random fields; image models; mean-field approximation; means estimation; quadratic coupling; statistical physics; Covariance matrix; Equations; Image analysis; Lattices; Monte Carlo methods; Parameter estimation; Physics; Probability distribution; Symmetric matrices;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location
Adelaide, SA
ISSN
1520-6149
Print_ISBN
0-7803-1775-0
Type
conf
DOI
10.1109/ICASSP.1994.389409
Filename
389409
Link To Document