Name
Abstract | ||
|---|---|---|
This paper proposes a new method of nonlinear filtering based on the classical morphological operators. The originality of our method consists in assigning to each pixel an adaptive structuring element depending on the local orientation of the image. Several examples of applications are presented and a comparison with the classical operators is done. Our method can be applied for early vision tasks. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.5281/zenodo.37603 | EUSIPCO |
Keywords | Field | DocType |
image reconstruction,vectors,morphology,filtering,principal component analysis | Iterative reconstruction,Morphological skeleton,Pattern recognition,Filter (signal processing),Structuring element,Pixel,Artificial intelligence,Operator (computer programming),Morphological gradient,Principal component analysis,Mathematics | Conference |
ISBN | Citations | PageRank |
978-952-1504-43-3 | 1 | 0.40 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Romulus Terebes | 1 | 49 | 8.42 |
| Olivier Lavialle | 2 | 72 | 9.51 |
| Pierre Baylou | 3 | 139 | 21.74 |
| Monica Borda | 4 | 63 | 13.54 |
| I. Nafornita | 5 | 22 | 4.37 |