A Modified Brain MR Image Segmentation and Bias Field Estimation Model Based on Local and Global Information

Table 1

Comparison of JS on simulated MR images with different levels of noise.

Algorithm	Tissues	5%	10%	15%	20%
FCM	WM	0.8373	0.7458	0.6403	0.5773
	GM	0.7189	0.5325	0.4211	0.3021
	CSF	0.8359	0.6751	0.5238	0.4001
BCFCM	WM	0.9022	0.8563	0.7459	0.6832
	GM	0.8754	0.7681	0.5765	0.4308
	CSF	0.8868	0.8354	0.6869	0.5369
GIFP_FCM	WM	0.9491	0.8993	0.8357	0.7365
	GM	0.9011	0.8377	0.7324	0.5793
	CSF	0.9268	0.8634	0.7957	0.7263
CLIC	WM	0.9007	0.8557	0.7461	0.6989
	GM	0.8766	0.7706	0.6013	0.5426
	CSF	0.8993	0.8457	0.6956	0.5536
The proposed algorithm	WM	0.9513	0.9320	0.8697	0.7833
	GM	0.9295	0.8723	0.7838	0.6619
	CSF	0.9457	0.8803	0.8329	0.7937