Statistical Inference Theory Applied to Image Modeling.

Abstract

This paper considers the application of system identification techniques using spectral representation for fitting models to textures and images and consists of two parts. In part I, we develop consistent decision rules for choosing the neighborhood in a one-dimensional autoregressive (AR) model. In part II, the theory is extended to the case of stationary two-dimensional random fields. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1979
Accession Number
ADA068745

Entities

People

  • Narendra Ahuja
  • Rama Chellappa

Organizations

  • University of Maryland

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Bayesian Networks
  • Computer Science
  • Data Science
  • Difference Equations
  • Differential Equations
  • Equations
  • Identification
  • Information Processing
  • Information Science
  • Partial Differential Equations
  • Pattern Recognition
  • Probability
  • Probability Distributions
  • Random Variables
  • Stationary
  • Statistical Inference
  • Two Dimensional

Readers

  • Computer Vision.
  • Statistical inference.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference