Name
Abstract | ||
|---|---|---|
Content-based retrieval based on texture descriptors is very useful in the case of remote sensing databases. In this paper, an attention was devoted to the case of partial request. First, texture-based features are extracted with Gabor filter. A fusion scheme of textures features allowed taking into account the texture contribution of each band in the case of multispectral images. The obtained texture features are then used to segment images database in Regions Of Interest (ROI). Finally, the features of the texture regions are used as indexes for image database retrieval. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICECS.2005.4633457 | Gammarth |
Keywords | Field | DocType |
Gabor filters,feature extraction,geophysical signal processing,image fusion,image retrieval,image segmentation,image texture,remote sensing,Gabor filter,content-based retrieval,feature extraction,image database retrieval,image fusion,regions of interest,remote sensing databases,texture based multispectral images indexing,texture descriptors | Computer vision,Texture compression,Pattern recognition,Image fusion,Computer science,Image texture,Multispectral image,Image retrieval,Image segmentation,Gabor filter,Artificial intelligence,Texture filtering | Conference |
ISBN | Citations | PageRank |
978-9972-61-100-1 | 0 | 0.34 |
References | Authors | |
7 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Riadh Tebourbi | 1 | 0 | 0.34 |
| Ziad Belhadj | 2 | 125 | 10.56 |