Title :
Morphologically constrained Gibbs random fields
Author :
Sivakumar, K. ; Goutsias, J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
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;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.638630
