Name
Abstract | ||
|---|---|---|
The minimum spanning tree pyramid is a hierarchical image segmentation method. We study it’s properties and the regions it produces. We show the similarity with the watershed transform and present the method in a domain in which this is easy to understand. For this, a short overview of both methods is given. Catchment basins are contracted before their neighbouring local maximas. Smooth regions surrounded by borders with maximal local variation are selected. The maximum respectively minimum variation on the border of a region is larger than the maximum respectively minimum variation inside the region. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11815921_19 | SSPR/SPR |
Keywords | Field | DocType |
neighbouring local maximas,tree pyramid,smooth region,minimum variation,short overview,tree pyramid segmentation method,catchment basin,hierarchical image segmentation method,maximal local variation,image segmentation,watershed transform,minimum spanning tree | Pattern recognition,Segmentation,Image segmentation,Watershed,Artificial intelligence,Pyramid,Geography,Cartography,Minimum spanning tree-based segmentation,Minimum spanning tree | Conference |
Volume | ISSN | ISBN |
4109 | 0302-9743 | 3-540-37236-9 |
Citations | PageRank | References |
6 | 0.52 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Adrian Ion | 1 | 222 | 21.11 |
| Walter G. Kropatsch | 2 | 896 | 152.91 |
| Yll Haxhimusa | 3 | 233 | 20.26 |