Research Article
A Medical Image Fusion Method Based on SIFT and Deep Convolutional Neural Network in the SIST Domain
Table 1
The objective evaluations of CT-MRI fusion in Figure
5.
| Method | Group 1 | Group 2 | Group 3 | SD | QAB/F | En | MI | SD | QAB/F | En | MI | SD | QAB/F | En | MI |
| PCNN | 20.63 | 0.50 | 2.12 | 0.65 | 20.36 | 0.55 | 2.00 | 0.58 | 20.87 | 0.39 | 1.91 | 0.45 | CSR | 20.86 | 0.55 | 2.20 | 0.77 | 21.56 | 0.60 | 2.11 | 0.62 | 23.96 | 0.46 | 2.00 | 0.62 | Shearlet | 21.44 | 0.59 | 2.28 | 0.78 | 22.43 | 0.62 | 2.18 | 0.69 | 23.55 | 0.51 | 2.10 | 0.69 | DCNN | 22.35 | 0.71 | 2.31 | 0.82 | 23.58 | 0.68 | 2.26 | 0.76 | 24.20 | 0.55 | 2.19 | 0.78 | Proposed | 23.22 | 0.83 | 2.45 | 0.88 | 24.43 | 0.79 | 2.33 | 0.82 | 24.55 | 0.68 | 2.28 | 0.85 |
|
|