Name
Title | ||
|---|---|---|
Reprint of Solution of Ambrosio–Tortorelli model for image segmentation by generalized relaxation method |
Abstract | ||
|---|---|---|
•We propose a new numerical approach for solving an image segmentation model.•The Ambrosio–Tortorelli approximation of the Mumford–Shah model is considered.•Finite-difference discretization of the Euler–Lagrange equations is proposed.•Non-linear Gauss–Seidel coupled with linear geometric multigrid is used.•Experiments show that the method is efficient for increasing image sizes. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.cnsns.2014.10.018 | Communications in Nonlinear Science and Numerical Simulation |
Keywords | DocType | Volume |
Image segmentation,Variational models,Non-linear iterative methods,Multigrid solvers | Journal | 21 |
Issue | ISSN | Citations |
1 | 1007-5704 | 0 |
PageRank | References | Authors |
0.34 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| pasqua d ambra | 1 | 4 | 0.82 |
| gaetano tartaglione | 2 | 4 | 0.82 |