Title :
A comparative study of two useful discrete-valued random fields for the statistical modeling of images
Author_Institution :
Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
Abstract :
The author presents two interesting discrete-valued random fields for the statistical modeling and analysis of random images. The first random field, the mutually compatible Gibbs random field, is a special nontrivial case of a general Gibbs random field, whereas the second random field, the semi-Markov random field is a non-Markovian generalization of a mutually compatible Gibbs random field
Keywords :
picture processing; random processes; statistical analysis; Gibbs random field; discrete-valued random fields; picture processing; random images; semi-Markov random field; statistical analysis; statistical modeling; Computational modeling; Entropy; Image analysis; Laboratories; Lattices; Markov random fields; Parameter estimation; Probability; Random variables; Transfer functions;
Conference_Titel :
Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Conference_Location :
Ann Arbor, MI
Print_ISBN :
0-8186-0862-5
DOI :
10.1109/CVPR.1988.196254
