Research Article
Multimodal Medical Image Fusion Based on Multiple Latent Low-Rank Representation
Table 1
Objective evaluation of fusion methods in the first set of images.
| | Fusion method | | | | | |
| | Proposed method | 0.4359 | 0.5145 | 0.6436 | 0.5036 | 158.7860 | | CSR | 0.3096 | 0.6608 | 0.5621 | 0.7137 | 135.2650 | | ASR | 0.2976 | 0.6700 | 0.6121 | 0.6622 | 210.1220 | | CSMCA | 0.2945 | 0.5830 | 0.5587 | 0.6103 | 372.3040 | | CNN | 0.3247 | 0.6267 | 0.5560 | 0.5916 | 32.7860 | | BMPCNN | 0.3058 | 0.5554 | 0.5828 | 0.5943 | 67.0890 | | MDLatLRR | 0.2882 | 0.6527 | 0.6077 | 0.6784 | 69.0270 | | VGG-19 | 0.2835 | 0.5104 | 0.5569 | 0.6273 | 7.4480 | | NSCT_SR | 0.2953 | 0.6243 | 0.5895 | 0.6353 | 7.4890 | | LP_SR | 0.2948 | 0.6560 | 0.5734 | 0.6588 | 0.3380 |
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