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 language | English (US) |
|---|---|
| Pages (from-to) | 373-397 |
| Number of pages | 25 |
| Journal | ACM Computing Surveys (CSUR) |
| Volume | 13 |
| Issue number | 4 |
| DOIs | |
| State | Published - 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
- General Computer Science