Research Article
Medical Image Fusion Based on Feature Extraction and Sparse Representation
Table 3
The objective evaluation and running time for CT and PET image fused results of all methods.
| ā | | | | | MI |
| NSCT [1] | 0.5083 | 0.9442 | 0.7297 | 0.7783 | 4.8657 | NSCT [6] | 0.5132 | 0.9475 | 0.7414 | 0.7862 | 4.9470 | JSR [12] | 0.4988 | 0.9590 | 0.8095 | 0.7558 | 3.5924 | SR + NSCT [15] | 0.4983 | 0.9635 | 0.7628 | 0.7863 | 4.0568 | SR + NSCT [18] | 0.5046 | 0.9612 | 0.7564 | 0.7625 | 3.6635 | SR + SM | 0.4992 | 0.9652 | 0.8337 | 0.8030 | 4.7986 | SR + EM | 0.5234 | 0.9642 | 0.8311 | 0.7984 | 4.5778 | SR + SEM | 0.5100 | 0.9652 | 0.8369 | 0.8041 | 4.9720 |
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