Name
Abstract | ||
|---|---|---|
This paper presents an improved version of the features based on Discrete Fourier Transform (DFT) for texture description that demonstrate robustness against rotation. The features have been tested on cropped parts of textures from the Brodatz collection and their rotated versions. The results show improved performance for both recognition and retrieval, compared to texture features based on the Gabor filter and older versions of the DFT-based features. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-89853-5_5 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Texture description,texture feature extraction,Fourier transform,Gabor filters | Non-uniform discrete Fourier transform,Pattern recognition,Computer science,Short-time Fourier transform,Gabor filter,Discrete Fourier transform (general),Artificial intelligence,Discrete Fourier transform,Discrete sine transform,Fractional Fourier transform,Gabor transform | Conference |
Volume | ISSN | Citations |
20 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahsan Ahmad Ursani | 1 | 13 | 1.49 |
| Kidiyo Kpalma | 2 | 191 | 20.06 |
| Joseph Ronsin | 3 | 242 | 25.88 |
| Aftab Ahmad Memon | 4 | 0 | 1.01 |
| Bhawani Shankar Chowdhry | 5 | 51 | 17.15 |