Name
Title | ||
|---|---|---|
A clustering-based system to automate transfer function design for medical image visualization |
Abstract | ||
|---|---|---|
Finding good transfer functions for rendering medical volumes is difficult, non-intuitive, and time-consuming. We introduce a clustering-based framework for the automatic generation of transfer functions for volumetric data. The system first applies mean shift clustering to oversegment the volume boundaries according to their low-high (LH) values and their spatial coordinates, and then uses hierarchical clustering to group similar voxels. A transfer function is then automatically generated for each cluster such that the number of occlusions is reduced. The framework also allows for semi-automatic operation, where the user can vary the hierarchical clustering results or the transfer functions generated. The system improves the efficiency and effectiveness of visualizing medical images and is suitable for medical imaging applications. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/s00371-011-0634-3 | The Visual Computer |
Keywords | Field | DocType |
mean shift,hierarchical clustering result,medical imaging application,transfer function,hierarchical clustering,medical volume,automatic generation,medical image,good transfer function,clustering-based framework,medical image visualization,transfer function design,clustering-based system | Hierarchical clustering,Computer vision,Volume rendering,Data stream clustering,Correlation clustering,Computer science,Consensus clustering,Artificial intelligence,Mean-shift,Rendering (computer graphics),Cluster analysis | Journal |
Volume | Issue | ISSN |
28 | 2 | 1432-2315 |
Citations | PageRank | References |
18 | 0.69 | 31 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Binh P. Nguyen | 1 | 80 | 10.61 |
| Wei-Liang Tay | 2 | 51 | 3.52 |
| Chee-Kong Chui | 3 | 245 | 38.34 |
| Sim Heng Ong | 4 | 426 | 44.63 |