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

作者：Rama Chellappa · 发表于：IETE Journal of Research · 年份：1989 · DOI：10.1080/03772063.1989.11436801 · 被引用次数：116 · 研究领域：Medical Image Segmentation Techniques、Image Retrieval and Classification Techniques、Digital Image Processing Techniques

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 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.