Brain MR Image Segmentation Based on an Adaptive Combination of Global and Local Fuzzy Energy

<table>Comparison of segmentation results on two simulated brain MR images. Column 1: original images. Column 2: the BCFCM algorithm. Column 3: the sFCM algorithm. Column 4: the CLIC algorithm. Column 5: the proposed algorithm. Column 6: ground truth.</table>

Mathematical Problems in Engineering

fig4

Figure 4

Figure 4: Brain MR Image Segmentation Based on an Adaptive Combination of Global and Local Fuzzy Energy 