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Proceedings Paper

Two-Dimensional Discrete Gaussian Markov Random Field Models for Image Processing and Analysis
Author(s): R. Chellappa
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Paper Abstract

This paper is concerned with a systematic exposition of the usefulness of two-dimensional (2-D) discrete Gaussian Markov random field (GMRF) models for image processing and analysis applications. Specifically, we discuss the following topics; notion of Markovianity on a plane, statistical inference in GMRF models; and their applications in several image related problems such as, image synthesis, texture classification, segmentation and image restoration.

Paper Details

Date Published: 5 April 1989
PDF: 13 pages
Proc. SPIE 1075, Digital Image Processing Applications, (5 April 1989); doi: 10.1117/12.952662
Show Author Affiliations
R. Chellappa, University of Southern California (United States)

Published in SPIE Proceedings Vol. 1075:
Digital Image Processing Applications
Ying-Wei Lin; Ram Srinivasan, Editor(s)

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