Name
Abstract | ||
|---|---|---|
Active geometric functions were recently introduced as a tool to perform real time 3-D segmentation. In the present paper we propose a B-spline formulation of the problem, which further improves the computational efficiency of the algorithm. We also introduce local region based energies, overcoming the limitations of the original method. The feasibility of real-time 3D segmentation in challenging images using the proposed algorithm is demonstrated in liver tumor data. The segmentation accuracy is comparable to a recently proposed state-of-the-art algorithm, but with CPU times below 0.1s. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ISBI.2011.5872800 | ISBI |
Keywords | Field | DocType |
computerised tomography,diagnostic radiography,image segmentation,liver,medical image processing,tumours,3D inhomogeneous objects,B-spline formulation,CPU,CT,active geometric functions,liver tumor,medical images,real-time region-based segmentation,Active contours,B-splines,active geometric functions,real-time,variational method | Spline (mathematics),Computer vision,Geometric function theory,Scale-space segmentation,Pattern recognition,Computer science,Segmentation,Segmentation-based object categorization,Image segmentation,Artificial intelligence | Conference |
ISSN | Citations | PageRank |
1945-7928 | 0 | 0.34 |
References | Authors | |
6 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Barbosa | 1 | 129 | 13.33 |
| Thomas Dietenbeck | 2 | 91 | 10.89 |
| Denis Friboulet | 3 | 403 | 32.65 |
| Jan D'hooge | 4 | 284 | 32.31 |
| Olivier Bernard | 5 | 690 | 63.59 |