Name
Abstract | ||
|---|---|---|
The non-local structure tensors have received much attention recently. However, the current computation methods of non-local structure tensor fail to fully use the anisotropic characteristic of tensors, hence resulting in limited performance. To address this problem, we present a novel anisotropic non-local regularisation scheme that integrates the atomic decomposition strategy with an extended line integral convolution method using non-local means filtering technique, in order to sufficiently utilise the spatial direction relevancy of tensors for their anisotropic smoothing. Experimental results on the test images show that our proposed anisotropic non-local structure tensor is superior to the current representative nonlinear structure tensors in corner detection. |
Year | Venue | Keywords |
|---|---|---|
2018 | INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING | non-local structure tensor, image structure analysis, tensor field regularisation |
Field | DocType | Volume |
Tensor density,Tensor,Tensor (intrinsic definition),Computer science,Mathematical analysis,Tensor field,Cartesian tensor,Real-time computing,Symmetric tensor,Structure tensor,Tensor contraction | Journal | 16 |
Issue | ISSN | Citations |
1 | 1742-7185 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuhui Zheng | 1 | 290 | 16.45 |
| Kai Ma | 2 | 67 | 13.44 |
| Shunfeng Wang | 3 | 0 | 1.01 |
| Jing Sun | 4 | 13 | 16.05 |
| Jianwei Zhang | 5 | 353 | 71.98 |