DocumentCode
318231
Title
Morphologically constrained Gibbs random fields
Author
Sivakumar, K. ; Goutsias, J.
Author_Institution
Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Volume
2
fYear
1997
fDate
26-29 Oct 1997
Firstpage
851
Abstract
We propose a class of Gibbs random fields which incorporate geometric information into stochastic image modeling by means of morphological constraints. This class is shown to be capable of modeling shapes with given morphological size density. Simulation examples illustrate some model properties
Keywords
image processing; mathematical morphology; random processes; stochastic processes; Gibbs random fields; geometric information; morphological constraints; morphological size density; shape modeling; simulation; stochastic image modeling; Land surface temperature; Markov random fields; Shape; Solid modeling; Stationary state; Stochastic processes; Temperature distribution; Temperature sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1997. Proceedings., International Conference on
Conference_Location
Santa Barbara, CA
Print_ISBN
0-8186-8183-7
Type
conf
DOI
10.1109/ICIP.1997.638630
Filename
638630
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