Name
Abstract | ||
|---|---|---|
Segmentation is one of the key areas in computer vision. Advanced techniques, such as active contour models and active shape models suffer from many drawbacks. An improvement of the two approaches, based in evolution strategies, is presented. Some of its advantages lie in less computational resources and less a priori knowledge required. At the end of the paper, the results of the experiments carried out with the new approach are presented. |
Year | Venue | Keywords |
|---|---|---|
2006 | COMPUTER SCIENCE JOURNAL OF MOLDOVA | evolution strategy |
Field | DocType | Volume |
Computer vision,Mathematical optimization,Segmentation,Radiography,Artificial intelligence,Mathematics | Journal | 14 |
Issue | ISSN | Citations |
3 | 1561-4042 | 0 |
PageRank | References | Authors |
0.34 | 0 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Oliviu Matei | 1 | 43 | 11.15 |