Name
Abstract | ||
|---|---|---|
Using real world images, two hierarchical graph-based segmentation methods are evaluated with respect to segmentations produced by humans. Global and local consistency measures do not show big differences between the two representative methods although human visual inspection of the results show advantages for one method. To a certain extent this subjective impression is captured by the new criteria of 'region size variation |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICPR.2006.511 | ICPR (2) |
Keywords | Field | DocType |
local consistency measure,big difference,human visual inspection,hierarchical graph-based segmentation method,hierarchical graph-based segmentation,subjective impression,region size variation,new criterion,real world image,certain extent,representative method,graph theory,image segmentation | Computer vision,Scale-space segmentation,Pattern recognition,Computer science,Range segmentation,Segmentation,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Region growing,Connected-component labeling,Minimum spanning tree-based segmentation | Conference |
ISSN | ISBN | Citations |
1051-4651 | 0-7695-2521-0 | 4 |
PageRank | References | Authors |
0.42 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yll Haxhimusa | 1 | 233 | 20.26 |
| Adrian Ion | 2 | 222 | 21.11 |
| Walter G. Kropatsch | 3 | 896 | 152.91 |