A Novel Fuzzy Level Set Approach for Image Contour Detection

Table 1

Performance of IGAC method and fuzzy based approach.

			TP (%)	FP (%)	SI (%)
Experiment	Leaf	IGAC method	99.22	1.85	98.97
		The proposed method	99.85	0.84	99.76
Experiment	Rabbit	IGAC method	24.93	1.63	24.01
		The proposed method	99.79	1.20	99.27
Experiment	Box	IGAC method	24.32	1.74	24.15
		The proposed method	98.83	0.22	98.53
	Diabolo	IGAC method	68.37	0.05	68.35
		The proposed method	99.68	0.04	99.66
	Coffee can	IGAC method	72.19	0.03	72.17
		The proposed method	99.91	0.02	99.90
Experiment	Swan	IGAC method	94.73	14.24	83.51
		The proposed method	97.26	3.53	94.74
	Boat	IGAC method	91.03	5.44	86.01
		The proposed method	96.75	3.42	94.11
Experiment	BUS image 1	IGAC method	100	17.53	87.85
		The proposed method	99.56	1.57	98.42
	BUS image 2	IGAC method	75.21	0.33	74.75
		The proposed method	98.96	0.48	98.03