A Variational Level Set Approach Based on Local Entropy for Image Segmentation and Bias Field Correction

Table 2

The JS values for images shown in Figure 9.

Image	Noise	RSF	Li’s	LGDF	Zhang’s	Wang’s	Our model
1	0.1%	0.9457	0.937	0.9482	0.9321	0.9484	0.9785
	0.2%	0.9427	0.9392	0.9477	0.9435	0.9701	0.9722
	0.3%	0.9402	0.9333	0.9462	0.9428	0.9305	0.9721
	0.4%	0.9284	0.9351	0.9438	0.9341	0.9524	0.9683
	0.5%	0.9129	0.9394	0.9447	0.938	0.93	0.9697
	0.6%	0.8765	0.9363	0.9447	0.9202	0.9438	0.9663
2	0.1%	0.9531	0.9427	0.9633	0.9503	0.9595	0.9786
	0.2%	0.9517	0.945	0.9609	0.9782	0.9155	0.9752
	0.3%	0.9437	0.9468	0.9594	0.9628	0.8568	0.9694
	0.4%	0.9396	0.9414	0.9599	0.9608	0.8627	0.9656
	0.5%	0.8973	0.9482	0.9519	0.9546	0.9602	0.957
	0.6%	0.8641	0.9482	0.9488	0.9536	0.6934	0.9504
3	0.1%	0.9284	0.9414	0.9517	0.9588	0.9354	0.9647
	0.2%	0.9251	0.9453	0.9495	0.9466	0.9147	0.9614
	0.3%	0.9017	0.9427	0.9527	0.9478	0.8357	0.9587
	0.4%	0.8761	0.9218	0.9403	0.9301	0.8597	0.9415
	0.5%	0.8487	0.9324	0.9315	0.9354	0.921	0.9486
	0.6%	0.8414	0.9247	0.9201	0.9214	0.5478	0.9354