Abstract
A class of image models based on random geometric processes is considered. Theoretical and empirical results on properties of patterns generated using these models are summarized. These properties can be used as aids in fitting the models to images.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1-11 |
| Number of pages | 11 |
| Journal | IEEE transactions on pattern analysis and machine intelligence |
| Volume | PAMI-3 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1981 |
| Externally published | Yes |
ASJC Scopus subject areas
- Software
- Computer Vision and Pattern Recognition
- Computational Theory and Mathematics
- Artificial Intelligence
- Applied Mathematics