Research Article
Magnetostatic Active Contour Model with Classification Method of Sparse Representation
Table 1
The JS values of each model.
| | A | B | C | D | E | F |
| CV | 0.9108 | 0.9008 | 0.8933 | 0.7325 | 0.4587 | 0.8700 | SBGFRLS | 0.8117 | 0.6441 | 0.2494 | 0.9595 | 0.0927 | 0.7456 | LIF | 0.3961 | 0.4383 | 0.3635 | 0.4335 | 0.0455 | 0.3678 | SDREL | 0.7916 | 0.8732 | 0.4915 | 0.8855 | 0.1819 | 0.8500 | MAC | 0.7333 | 0.7150 | 0.8089 | 0.5538 | 0.3979 | 0.9230 | OURS | 0.9814▪ | 0.9702▪ | 0.9529▪ | 0.9602▪ | 0.9043▪ | 0.9676▪ |
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A–F represent the six original images with a single target in Figure 4, respectively; the top results are indicated by ▪. |