Name
Abstract | ||
|---|---|---|
This paper deals with "on the fly" segmen- tation on sliding images. We describe a qual- ity control industrial application for which that type of image analysis is an elegant so- lution. Local and global merging techniques on the region adjacency graph are discussed. Only local merging allows us to process an uncompletely known graph. Global merg- ing on the entire graph and "on the fly" lo- cal merging give similar segmentation results, and yet the iatter is iaster. the choosen vertex and its neighbour- hood is sufficient in order to start the merging process, |
Year | Venue | Keywords |
|---|---|---|
1994 | MVA | quality control.,region adjacency graph,"on the fly" processing,image analysis,quality control,image segmentation |
Field | DocType | Citations |
Adjacency list,Computer vision,Graph,Scale-space segmentation,Pattern recognition,Segmentation,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Merge (version control),Graph (abstract data type),Mathematics | Conference | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Philippe Charnier | 1 | 0 | 0.34 |
| Ehoud Ahronovitz | 2 | 27 | 6.47 |
| Christophe Fiorio | 3 | 197 | 23.27 |