693.932 PEOPLE
| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
Cardinali, A.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (2/2 displayed)
Places of action
| Organizations | Location | People |
|---|
document
A statistical multiscale approach to image segmentation and fusion
Abstract
e propose an algorithm to adaptively segment and fuse images by alternating wavelet package and local cosine transforms each containing best basis selection and thresholding.Within segmented regions fusion is informed by multiple hypotheses testing based on a log-linear factorial model.This fusion identifies homogenous regions from which to select wavelet or local cosine packets, possibly from original images.The successful performance of the fusion algorithm and segmentation is demonstrated on some multispectral thematic mapper imagery.