EURASIP Journal on Image and Video Processing

Table 1 Comparison between various methods and proposed PIGFCM on the BrainWeb database

From: Tumor segmentation in brain MRI using a fuzzy approach with class center priors

Algorithm	Noise level (%)
Algorithm	WM						GM
	0	1	3	5	7	9	0	1	3	5	7	9
SPM5[20]	0.91	0.95	0.95	0.93	0.90	0.86	0.91	0.94	0.93	0.92	0.88	0.85
EMS[42]	0.87	0.91	0.93	0.92	0.90	0.85	0.83	0.91	0.92	0.92	0.89	0.87
HMC[19]	0.97	0.97	0.93	0.94	0.92	0.92	0.97	0.97	0.96	0.94	0.93	0.92
FCM[11]	0.87	0.86	0.84	0.81	0.79	0.75	0.87	0.85	0.84	0.81	0.80	0.77
NFCM[12]	0.95	0.94	0.93	0.92	0.90	0.87	0.93	0.90	0.89	0.87	0.86	0.84
NL-Reg[13]	0.73	0.73	0.73	0.73	0.73	0.73	0.65	0.65	0.64	0.64	0.63	063
NL-R_FCM[13]	0.97	0.95	0.95	0.94	0.92	0.91	0.96	0.95	0.94	0.93	0.9	88
NL-FCM[13]	0.98	0.96	0.95	0.93	0.90	0.82	0.94	0.93	0.92	0.90	0.88	0.78
PIGFCM	0.98	0.98	0.97	0.95	0.94	0.93	0.96	0.95	0.94	0.92	0.90	0.87

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