Two-Dimensional Discrete Gaussian Markov Random Field Models for Image Processing and Analysis

R. Chellappa

doi:10.1117/12.952662

5 April 1989 Two-Dimensional Discrete Gaussian Markov Random Field Models for Image Processing and Analysis

R. Chellappa

Proceedings Volume 1075, Digital Image Processing Applications; (1989) https://doi.org/10.1117/12.952662
Event: OE/LASE '89, 1989, Los Angeles, CA, United States

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.

Citation Download Citation

R. Chellappa "Two-Dimensional Discrete Gaussian Markov Random Field Models for Image Processing and Analysis", Proc. SPIE 1075, Digital Image Processing Applications, (5 April 1989); https://doi.org/10.1117/12.952662

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