Name
Title | ||
|---|---|---|
Knowledge-based improvement of automatic image interpretation for restricted scenes: two case studies |
Abstract | ||
|---|---|---|
The paper explores the usefulness and applicability of knowledge-based image interpretation. By limiting the analysis to ‘restricted’ scenes, a bottom-up strategy has been developed to improve a primal image segmentation. Two case studies are discussed: the first deals with medical X-rays, the second with satellite images (SPOT). In both projects, generic geometrical knowledge is encoded in the format of production rules. The results obtained so far are encouraging and are already of practical use. Ways to extend the knowledge bases by more specific domain knowledge are mentioned. |
Year | DOI | Venue |
|---|---|---|
1988 | 10.1016/0262-8856(88)90014-5 | Image Vision Comput. |
Keywords | Field | DocType |
knowledge-based image interpretation,restricted scene,automatic image interpretation,subtraction angiography,case study,remote sensing,knowledge-based improvement,knowledge base | Computer vision,Domain knowledge,Computer science,Image segmentation,Artificial intelligence,Limiting | Journal |
Volume | Issue | ISSN |
6 | 4 | Image and Vision Computing |
Citations | PageRank | References |
1 | 0.40 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. van Cleynenbreugel | 1 | 64 | 19.56 |
| F. Fierens | 2 | 1 | 0.40 |
| P. Suetens | 3 | 234 | 58.52 |
| Oosterlinck, A. | 4 | 711 | 254.21 |