MARKOV IMAGE MODELING

被引：34

作者：

WOODS, JW

机构：

[1] Electrical and Systems Engineering Department, Rensselaer Polytechnic Institute, Troy

来源：

IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 1978年 / 23卷 / 05期

关键词：

D O I：

10.1109/TAC.1978.1101866

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The theory of two-dimensional spectral factorization is reviewed in the context of recursive modeling. The role of the Markov random field in recursive image modeling is then presented. Since spectral factorization in two or higher dimensions generally results in infinite-order factors, it is necessary to perform Markov modeling after spectral factorization. The above concepts are then applied to the problem of Kalman filtering of images. Copyright © 1978 by The Institute of Electrical and Electronics Engineers, Inc.

引用

页码：846 / 850

页数：5

共 15 条

[1] 2-DIMENSIONAL SPECTRAL FACTORIZATION WITH APPLICATIONS IN RECURSIVE DIGITAL FILTERING [J].