Name
Abstract | ||
|---|---|---|
This paper presents an algorithm for computing stability of top-points in scale-space. The potential usefulness of top-points in scale-space has already been shown for a number of applications, such as image reconstruction and image retrieval. In order to improve results only reliable top-points should be used. The algorithm is based on perturbation theory and noise propagation. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11408031_6 | Scale-Space |
Keywords | Field | DocType |
perturbation theory,reliable top-points,image retrieval,potential usefulness,image reconstruction,scale space,noise propagation | Computer science,Image processing,Image retrieval,Singularity,Scale space,Artificial intelligence,Distributed computing,Iterative reconstruction,Perturbation method,Computer vision,Perturbation theory,Noise propagation,Algorithm | Conference |
Volume | ISSN | ISBN |
3459 | 0302-9743 | 3-540-25547-8 |
Citations | PageRank | References |
5 | 0.48 | 8 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| E. Balmachnova | 1 | 24 | 1.75 |
| L. M. J. Florack | 2 | 1212 | 210.47 |
| Bram Platel | 3 | 245 | 21.42 |
| F. M. W. Kanters | 4 | 13 | 1.40 |
| B. M. Ter Haar Romeny | 5 | 167 | 28.71 |