Name
Abstract | ||
|---|---|---|
We propose an image indexing and retrieval method which is based on the multiscale image analysis theory in conjunction with fuzzy image feature extraction. The main idea is based on the assumption that the fundamental cues for image description such as shape and textures should be considered together within a unified model. Here the multiscale analysis is modeled by a differential morphological filter, and the feature are extracted by a multiscale fuzzy gradient operation applied to the detail images, which are the differences between images at successive scales. Experiments with large image databased and comparisons with classical methods are reported. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11565123_36 | BVAI |
Keywords | Field | DocType |
fuzzy image feature extraction,classical method,multiscale fuzzy gradient operation,large image,fuzzy scale-space approach,multiscale analysis,image description,differential morphological filter,multiscale image analysis theory,detail image,image indexing,feature-based image representation,unified model,scale space,image analysis,image features | Computer vision,Feature detection (computer vision),Computer science,Feature (computer vision),Fuzzy logic,Scale space,Image retrieval,Image processing,Feature extraction,Artificial intelligence,Visual Word | Conference |
Volume | ISSN | ISBN |
3704 | 0302-9743 | 3-540-29282-9 |
Citations | PageRank | References |
1 | 0.35 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Ceccarelli | 1 | 23 | 2.45 |
| Francesco Musacchia | 2 | 5 | 1.77 |
| A. Petrosino | 3 | 1 | 0.35 |