Name
Abstract | ||
|---|---|---|
A new method for volume visualization of CT images is presented. The new method uses the information that the given set of CT images is taken from an original volumetric function. The new method first computes the fitting points of the original function with data mining technique, then the fitting points are used to construct 3D model by MC algorithm. The constructed 3D model by the new method has higher precision and good quality. Experiments for testing the efficiency of the new method are included. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/FSKD.2008.584 | FSKD (4) |
Keywords | Field | DocType |
mc algorithm,ct image,higher precision,original volumetric function,curve fitting,marching cubes algorithm,data visualisation,volume visualization,data mining,solid modelling,good quality,data mining technique,original function,3d model construction,fitting point,new method,computed tomography,algorithm design and analysis,current transformers,fitting | Data mining,Data visualization,Algorithm design,Volume visualization,Curve fitting,Pattern recognition,Computer science,Solid modelling,Marching cubes,Algorithm,Computed tomography,Artificial intelligence | Conference |
Volume | ISBN | Citations |
4 | 978-0-7695-3305-6 | 0 |
PageRank | References | Authors |
0.34 | 8 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuemei Li | 1 | 16 | 3.37 |
| Caiming Zhang | 2 | 446 | 88.19 |
| Caiqing Zhang | 3 | 9 | 2.79 |