Name
Abstract | ||
|---|---|---|
In this work we introduce the composed segmentation (C-segmentation), that is a priori composition of sources to obtain a single one segmentation result according to specific logic combinations. The approach and the segmentation model are general but we apply the C-segmentation technique to the challenging problem of segmenting tubular-like structures. The reconstruction is obtained by continuously deforming an initial distance function following the Partial Differential Equation (PDE)-based diffusion model derived from a minimal volume-like variational formulation. The gradient flow for this functional leads to a nonlinear curvature motion model. An anisotropic variant is provided which includes a diffusion tensor aimed to follow the tube geometry. Numerical examples demonstrate the ability of the proposed method to produce high quality 2D/3D segmentations of complex and eventually incomplete synthetic and real data. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-02256-2_7 | SSVM |
Keywords | Field | DocType |
segmentation result,c-segmentation technique,diffusion tensor,nonlinear curvature motion model,anisotropic variant,composed segmentation,anisotropic pde model,diffusion model,challenging problem,tubular structures,segmentation model,functional lead,partial differential equation,distance function,gradient flow | Active contour model,Nonlinear system,Curvature,Segmentation,Mathematical analysis,A priori and a posteriori,Metric (mathematics),Algorithm,Numerical analysis,Partial differential equation,Mathematics | Conference |
Volume | ISSN | Citations |
5567 | 0302-9743 | 2 |
PageRank | References | Authors |
0.39 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elena Franchini | 1 | 11 | 0.90 |
| Serena Morigi | 2 | 142 | 20.57 |
| Fiorella Sgallari | 3 | 217 | 22.22 |