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

Table 1

JS and running time on the T1-weighted axial slice (number 100) from SBD with 7% noise and 20% grayscale nonuniformity.

Algorithm	GKFCM1	GKFCM2	FLICM	KWFLICM	MICO	RSCFCM	ARKFCM1	ARKFCM2
WM	0.930	0.933	0.941	0.937	0.894	0.898	0.940	0.941	0.940
GM	0.822	0.855	0.860	0.852	0.782	0.842	0.864	0.868	0.865
CSF	0.781	0.847	0.829	0.805	0.860	0.882	0.863	0.867	0.867
Average	0.844	0.879	0.876	0.865	0.845	0.874	0.889	0.892	0.891
Time (s)	0.911	0.586	3.403	139.470	0.673	2.530	0.356	0.282	0.329