Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based Fuzzy -Means Clustering

Table 3

JS and running time on the T1-weighted axial slice (number 91) from SBD corrupted with 10% Rician noise.

Algorithm	GKFCM1	GKFCM2	FLICM	KWFLICM	MICO	ARKFCM1	ARKFCM2
WM	0.931	0.921	0.929	0.927	0.885	0.926	0.925	0.922
GM	0.804	0.827	0.831	0.821	0.777	0.838	0.840	0.834
CSF	0.826	0.872	0.861	0.846	0.889	0.887	0.892	0.887
Average	0.850	0.874	0.874	0.865	0.850	0.884	0.886	0.881
Time (s)	1.836	1.869	2.953	124.922	0.649	0.218	0.220	0.218