Research Article
Multiresolution Analysis Using Wavelet, Ridgelet, and Curvelet Transforms for Medical Image Segmentation
Figure 19
Segmented results achieved at IT value (10), where the best results detected.
 |
| (a) , time = 2 min, collimator: 2D (left), segmented (right) |
|
 |
| (b) , time = 3 min, collimator: 2D (left), segmented (right) |
|
 |
| (c) , time = 4 min, collimator: 2D (left), segmented (right) |
|
 |
| (d) , time = 2 min, collimator: 3D (left), segmented (right) |
|
 |
| (e) , time = 3 min, collimator: 3D (left), segmented (right) |
|
 |
| (f) , time = 4 min, collimator: 3D (left), segmented (right) |
|