Research Article
Brain MR Image Segmentation Based on an Adaptive Combination of Global and Local Fuzzy Energy
Table 1
Comparison of the JS values of the segmentation results obtained by the four algorithms.
| Image | Tissue | BCFCM | sFCM | CLIC | Proposed algorithm |
| Brain 1 | WM | 0.9042 | 0.9168 | 0.9361 | 0.9562 | GM | 0.8433 | 0.8629 | 0.8985 | 0.9133 | CSF | 0.8337 | 0.8491 | 0.8543 | 0.8958 |
| Brain 2 | WM | 0.8561 | 0.8674 | 0.8683 | 0.9430 | GM | 0.8260 | 0.8387 | 0.8331 | 0.9098 | CSF | 0.7938 | 0.8035 | 0.8184 | 0.8274 |
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