Name
Abstract | ||
|---|---|---|
In this paper a novel scheme for extracting the global features from an image. Usually the features are extracted from the whole image. In the proposed approach, only the image regions conveying information are considered. The two steps procedure is based on the Fisher's information evaluation computed by linear combination of Zernike expansion coefficients. Then, by using the region growing algorithm, only high information rate regions are considered. The considered features are texture, edges, and color. The performances of the proposed scheme has been evaluated by using the retrieval rate. Experimental results show an increase in the retrieval rate with respect to use the same features computed on whole image. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1117/12.876581 | IMAGE PROCESSING: ALGORITHMS AND SYSTEMS IX |
Keywords | Field | DocType |
Non linear image processing, Zernike polynomial, Fisher's information | Linear combination,Computer vision,Region growing algorithm,Pattern recognition,Code rate,Image texture,Zernike polynomials,Artificial intelligence,Physics | Conference |
Volume | ISSN | Citations |
7870 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luca Costantini | 1 | 21 | 7.13 |
| p sita | 2 | 0 | 0.34 |
| Marco Carli | 3 | 252 | 28.85 |
| A Neri | 4 | 679 | 72.31 |