Name
Abstract | ||
|---|---|---|
In this paper, we propose a new mathematical model for detecting in an image singularities of codi- mension greater than or equal to two. This means we want to detect isolated points in a 2-D image or points and curves in a 3-D image. We drew one's inspiration from Ginzburg-Landau (G-L) models which have proved their efficiency for modeling many phenomena in physics. We introduce the model, state its mathematical properties and give some experimental results demonstrating its capability in image processing. |
Year | DOI | Venue |
|---|---|---|
2005 | https://doi.org/10.1007/s11263-005-3847-y | International Journal of Computer Vision |
Keywords | Field | DocType |
Ginzburg-Landau model,points detection,segmentation,PDE,biological images,SAR images | Codimension,Computer vision,Feature detection (computer vision),Computer science,Segmentation,Image processing,Artificial intelligence,Gravitational singularity,Mathematical properties | Journal |
Volume | Issue | ISSN |
65 | 1 | 0920-5691 |
Citations | PageRank | References |
6 | 0.79 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gilles Aubert | 1 | 1275 | 108.17 |
| Jean-François Aujol | 2 | 1176 | 82.39 |
| Laure Blanc-Féraud | 3 | 536 | 63.97 |