Research Article
Medical Image Fusion Based on Rolling Guidance Filter and Spiking Cortical Model
Table 1
Objective criteria by each fused method in the fusion of Figures
5 and
6.
| Fusion method | Group a | Group b | MI | | | | MI | | | |
| GFF | 3.4313 | 0.7789 | 0.1405 | 0.0806 | 3.4736 | 0.7649 | 0.1698 | 0.0653 | NDCWT | 4.3905 | 0.7555 | 0.1401 | 0.1038 | 3.3573 | 0.7424 | 0.1759 | 0.0781 | NSCT-SF-PCNN | 4.8300 | 0.3635 | 0.1480 | 0.4885 | 3.1594 | 0.7073 | 0.1875 | 0.1052 | ST-PCNN | 2.2828 | 0.6761 | 0.2175 | 0.1064 | 4.9266 | 0.7627 | 0.1854 | 0.0519 | SCM | 6.0768 | 0.8603 | 0.1350 | 0.0046 | 6.1210 | 0.8203 | 0.1705 | 0.0091 | SCM-A | 6.0801 | 0.8610 | 0.1347 | 0.0043 | 6.1210 | 0.8254 | 0.1667 | 0.0079 | RGF-SCM-C | 6.0887 | 0.8624 | 0.1343 | 0.0033 | 6.1208 | 0.8274 | 0.1665 | 0.0061 | RGF-SCM | 6.0947 | 0.8636 | 0.1333 | 0.0031 | 6.1210 | 0.8327 | 0.1612 | 0.0061 |
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