DocumentCode
2002043
Title
MAP estimation of a class of morphologically constrained Gibbs random fields
Author
Sivakumar, K. ; Goutsias, John
Author_Institution
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume
2
fYear
1998
fDate
4-7 Oct 1998
Firstpage
74
Abstract
We revisit the problem of non-linear image filtering by means of maximum-a-posteriori (MAP) estimation and mathematical morphology. Based on “mild” modeling assumptions, we bound the optimal MAP estimate from above and below and provide explicit morphological expressions for such bounds. The derived bounds can be easily calculated and effectively used to design a fast MAP algorithm
Keywords
image processing; mathematical morphology; maximum likelihood estimation; nonlinear filters; stochastic processes; MAP estimation; bounds; mathematical morphology; maximum-a-posteriori estimation; mild modeling assumptions; morphologically constrained Gibbs random fields; nonlinear image filtering; Algorithm design and analysis; Degradation; Filtering; Morphology; Robustness; State-space methods; Temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location
Chicago, IL
Print_ISBN
0-8186-8821-1
Type
conf
DOI
10.1109/ICIP.1998.723320
Filename
723320
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