Research Article
Multilevel Thresholding Method Based on Electromagnetism for Accurate Brain MRI Segmentation to Detect White Matter, Gray Matter, and CSF
Table 2
Performance measures for the proposed method and the existing methods for segmenting White Matter (WM) from 10 different MR images.
| Algorithm | Sensitivity | MRI 1 | MRI 2 | MRI 3 | MRI 4 | MRI 5 | MRI 6 | MRI 7 | MRI8 | MRI 9 | MRI 10 | Avg |
| -means | 85.54 | 86.04 | 82.50 | 81.29 | 80.78 | 80.78 | 81.14 | 82.14 | 80.26 | 83.20 | 82.36 | FCM | 86.78 | 87.94 | 84.00 | 83.42 | 82.18 | 82.58 | 83.42 | 84.00 | 90.94 | 80.78 | 84.60 | OTSU | 87.24 | 89.21 | 89.06 | 91.72 | 89.62 | 89.62 | 87.72 | 88.06 | 88.21 | 84.24 | 88.47 | PSO | 87.98 | 89.35 | 90.25 | 91.25 | 88.35 | 89.96 | 87.26 | 89.21 | 85.25 | 87.25 | 88.61 | BFA | 89.25 | 89.87 | 93.56 | 92.35 | 89.89 | 90.35 | 89.23 | 89.36 | 89.25 | 94.32 | 90.74 | GA | 90.56 | 90.28 | 93.25 | 93.25 | 90.25 | 92.35 | 92.35 | 93.25 | 90.25 | 95.26 | 92.10 | FLGMM | 94.25 | 91.23 | 95.35 | 92.37 | 92.35 | 93.25 | 93.25 | 94.25 | 91.25 | 96.25 | 93.38 | Proposed | 95.65 | 94.69 | 96.79 | 97.04 | 96.98 | 97.23 | 95.04 | 96.52 | 92.69 | 97.65 | 96.02 |
| Algorithm | Specificity | MRI 1 | MRI 2 | MRI 3 | MRI 4 | MRI 5 | MRI 6 | MRI 7 | MRI8 | MRI 9 | MRI 10 | Avg |
| -means | 86.25 | 87.25 | 86.25 | 89.35 | 80.25 | 83.54 | 86.35 | 82.47 | 81.25 | 82.35 | 84.53 | FCM | 87.25 | 88.54 | 87.32 | 89.87 | 81.25 | 84.25 | 87.25 | 83.24 | 82.54 | 83.25 | 85.47 | OTSU | 87.98 | 89.25 | 88.25 | 90.25 | 82.24 | 85.32 | 87.96 | 83.56 | 83.25 | 84.25 | 86.23 | PSO | 88.25 | 90.25 | 89.32 | 91.55 | 82.35 | 85.36 | 88.35 | 84.32 | 84.54 | 85.24 | 86.95 | BFA | 89.95 | 91.97 | 94.96 | 92.78 | 89.01 | 91.56 | 88.56 | 88.36 | 90.21 | 93.32 | 91.06 | GA | 91.89 | 92.25 | 94.29 | 92.98 | 90.89 | 92.68 | 92.89 | 92.25 | 90.78 | 92.26 | 92.31 | FLGMM | 95.75 | 92.63 | 96.85 | 93.47 | 91.45 | 93.47 | 92.25 | 94.89 | 91.65 | 93.78 | 93.61 | Proposed | 96.25 | 95.99 | 97.89 | 97.94 | 97.87 | 94.23 | 96.32 | 96.69 | 94.69 | 98.59 | 96.64 |
| Algorithm | Segmentation accuracy | MRI 1 | MRI 2 | MRI 3 | MRI 4 | MRI 5 | MRI 6 | MRI 7 | MRI8 | MRI 9 | MRI 10 | Avg |
| -means | 85.02 | 86.98 | 83.43 | 82.97 | 81.65 | 81.98 | 83.24 | 83.34 | 80.12 | 84.34 | 83.30 | FCM | 85.13 | 87.65 | 84.31 | 83.86 | 83.08 | 83.57 | 84.32 | 84.12 | 91.34 | 80.45 | 84.78 | OTSU | 87.35 | 88.32 | 88.14 | 88.75 | 89.52 | 89.82 | 87.52 | 88.45 | 89.56 | 84.23 | 88.16 | PSO | 89.46 | 89.01 | 91.25 | 91.64 | 87.25 | 90.97 | 88.26 | 89.67 | 86.78 | 87.45 | 89.17 | BFA | 90.57 | 90.14 | 93.48 | 92.53 | 90.75 | 90.53 | 89.63 | 90.32 | 89.26 | 91.12 | 90.83 | GA | 90.68 | 91.27 | 94.26 | 92.32 | 91.22 | 91.45 | 90.89 | 92.55 | 91.54 | 92.65 | 91.88 | FLGMM | 94.97 | 92.50 | 95.37 | 91.11 | 92.54 | 94.78 | 92.78 | 93.56 | 91.43 | 93.78 | 93.28 | Proposed | 97.56 | 94.83 | 96.34 | 97.95 | 96.87 | 97.98 | 95.09 | 96.78 | 94.33 | 97.56 | 96.52 |
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