Name
Abstract | ||
|---|---|---|
In this paper we describe modifications of irregular image segmentation pyramids based on user-interaction. We first build a hierarchy of segmentations by the minimum spanning tree based method, then regions from different (granularity) levels are combined to a final (better) segmentation with user-specified operations guiding the segmentation process. Based on these operations the users can produce a final image segmentation that best suits their applications. This work can be used for applications where we need accuracy in image segmentation, in annotating images or creating ground truth among others. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-20844-7_25 | GbRPR |
Keywords | Field | DocType |
irregular image segmentation pyramid,ground truth,best suit,final image segmentation,annotating image,user-specified operation,segmentation process,irregular pyramid,hierarchical interactive image segmentation,image segmentation,minimum spanning tree | Computer vision,Scale-space segmentation,Pattern recognition,Range segmentation,Segmentation,Image texture,Computer science,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Region growing,Minimum spanning tree-based segmentation | Conference |
Volume | ISSN | Citations |
6658 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Gerstmayer | 1 | 1 | 0.36 |
| Yll Haxhimusa | 2 | 233 | 20.26 |
| Walter G. Kropatsch | 3 | 896 | 152.91 |