Name
Abstract | ||
|---|---|---|
Two segmentation methods based on the minimum spanning tree principle are evaluated with respect to each other. The hierarchical minimum spanning tree method is also evaluated with respect to human segmentations. Discrepancy measure is used as best suited to compute the segmentation error between the methods. The evaluation is done using gray value images. It is shown that the segmentation results of these methods have a considerable difference. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11556121_71 | CAIP |
Keywords | Field | DocType |
segmentation method,segmentation algorithm,gray value image,discrepancy measure,tree principle,considerable difference,tree method,segmentation result,segmentation error,hierarchical minimum,human segmentation,minimum spanning tree | Scale-space segmentation,Pattern recognition,Computer science,Segmentation,Image processing,Algorithm,Segmentation-based object categorization,Image segmentation,Spanning tree,Artificial intelligence,Minimum spanning tree-based segmentation,Minimum spanning tree | Conference |
Volume | ISSN | ISBN |
3691 | 0302-9743 | 3-540-28969-0 |
Citations | PageRank | References |
6 | 0.50 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yll Haxhimusa | 1 | 233 | 20.26 |
| Adrian Ion | 2 | 222 | 21.11 |
| Walter G. Kropatsch | 3 | 896 | 152.91 |
| Thomas Illetschko | 4 | 6 | 0.83 |