Name
Abstract | ||
|---|---|---|
The paper proposes a novel tensor based diffusion filter, dedicated for filtering images composed of line like structures. We propose a linear version of nonlinear diffusion partial derivative equation, previously presented in [5]. Instead of considering nonlinearity in the image evolution process we are only including it at the computation of the diffusion tensor. The unique tensor construction is based on an adaptive orientation estimation step and yields a significant reduction of the computational complexity. The properties of the filter are analyzed both theoretically and experimentally. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11558484_40 | ACIVS |
Keywords | Field | DocType |
computational complexity,diffusion tensor | Anisotropic diffusion,Discrete mathematics,Diffusion MRI,Nonlinear system,Tensor,Mathematical analysis,Computer science,Filter (signal processing),Diffusion filter,Geometry,Partial differential equation,Diffusion equation | Conference |
Volume | ISSN | ISBN |
3708 | 0302-9743 | 3-540-29032-X |
Citations | PageRank | References |
10 | 0.76 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Romulus Terebes | 1 | 49 | 8.42 |
| Olivier Lavialle | 2 | 72 | 9.51 |
| Monica Borda | 3 | 63 | 13.54 |
| Pierre Baylou | 4 | 139 | 21.74 |