Name
Abstract | ||
|---|---|---|
Radon transform is not only robust to noise, but also independent on the calculation of pattern centroid. In this paper, Radon-Mellin transform (RMT), which is a combination of Radon transform and Mellin transform, is proposed to extract invariant features. RMT converts any object into a closed curve. Radon-Fourier descriptor (RFD) is derived by applying Fourier descriptor to the obtained closed curve. The obtained RFD is invariant to scaling and rotation. (Generic) R-transform and some other Radon-based methods can be viewed as special cases of the proposed method. Experiments are conducted on some binary images and gray images. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1142/S0219691319400046 | INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING |
Keywords | Field | DocType |
Radon transform, Mellin transform, invariant, Radon-Mellin transform (RMT), Radon-Fourier descriptor (RFD) | Mellin transform,Pattern recognition,Mathematical analysis,Radon,Binary image,Invariant (mathematics),Artificial intelligence,Fourier descriptor,Scaling,Radon transform,Mathematics,Centroid | Journal |
Volume | Issue | ISSN |
17 | 2 | 0219-6913 |
Citations | PageRank | References |
1 | 0.35 | 23 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianwei Yang | 1 | 58 | 12.73 |
| Liang Zhang | 2 | 464 | 92.08 |
| Peiyao Li | 3 | 1 | 0.35 |