Image Models

Narendra Ahuja, B. J. Schachter

Research output: Contribution to journalArticle

Abstract

Models of spatial variation used m the computer processing of pictorial information are surveyed. Models of images depictmg homogeneous textures are reviewed under the categories of pixel-based and region-based models. Plxel-based models are further divided into one-dimensional tune series models, random field models, and syntactic models The random field models mcorporate either global or local properties of an image. To put the role of the two low-level models in perspectwe, several high-level models making use of semantic reformation are also described.

Original languageEnglish (US)
Pages (from-to)373-397
Number of pages25
JournalACM Computing Surveys (CSUR)
Volume13
Issue number4
DOIs
StatePublished - Dec 1 1981

Keywords

  • Markov models
  • global models
  • high-level models
  • image models
  • local models
  • low-level models
  • one-dimensmnal models
  • pixel-based models
  • random field models
  • regmn-based models
  • syntactic models
  • texture models
  • time series models

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Image Models'. Together they form a unique fingerprint.

  • Cite this