Fig. 1. Flowchart of the proposed swam-based PCM
Fig. 2. Clustering results with respect to γ in the T1-weighed 96th MR brain image which corrupted by 9% Gaussian noise and 40% bias-field.
Fig. 3. Segmentation results: (a) Original image with 7%/40%(Noise/bias-field level), (b) Ground true of image, (c) Result of PCM with user-defined centers, (d) Result of [10], (e) Result of [16], (f) Result of the proposed method.
Fig. 4. Segmentation results: (a) Original image with 9%/20%(Noise/bias-field level), (b) Ground true of image, (c) Result of PCM with user-defined centers, (d) Result of [10], (e) Result of [16], (f) Result of the proposed method.
Fig. 5. Segmentation results: (a) Original image with 9%/40% (Noise/bias-field level), (b) Ground true of White Matter (WM), Grey Matter (GM), Cerebrospinal Fluid (CSF) and total region, (c) Result of PCM with user-defined centers, (d) Result of [10], (e) Result of [16], (f) Result of the proposed method.
Table 1. Quantitative evaluation results for various methods
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