Analysis of Vessel Segmentation Based on Various Enhancement Techniques for Improvement of Vessel Intensity Profile

Table 16

The average results from DRIVE and CHASE_DB1 data sets were compared with some other approaches.

Approaches	DRIVE		CHASE_DB1
	Sen	Acc	Sp	Sen	Acc	Sp
Cinsdikici and Aydın [26]	—	0.929	—	—	—	—
Zhang et al. [27]	0.712	0.938	—	—	—	—
Rawi et al. [29]	—	0.953	—	—	—	—
Rawi and Karajeh [30]	—	0.942	—	—	—	—
Sreejini and Govindan [31]	0.713	0.963	0.986	—	—	—
Chaudhari et al. [32]		0.867	—	—	—	—
Soares et al. [33]	—	0.946	—	—	—	—
Shabbir et al. [34]	—	0.950	—	—	—	—
Aguirre-Ramos et al. [35]	0.785	0.950	0.966	—	—	—
Yavuz and Kose [36]	0.677	0.957	0.978	—	—	—
Farokhian et al. [37]	0.693	0.939	0.979	—	—	—
Sundaram et al. [38]	0.690	0.930	0.940	0.710	0.950	0.960
Dash et al. [36]	0.756	0.952	0.981	0.770	0.950	0.970
Primitivo et al. [41]	0.846	0.961	0.970	—	—	—
Hashemzadeh and Azar [42]	0.783	0.953	0.980	0.773	0.962	0.984
Khawaja et al. [44]	0.802	0.956	0.973	—	—	—
Wang et al. [45]	0.807	0.956	0.978	0.842	0.970	0.982
Original Gabor filter	0.643	0.921	0.947	0.690	0.911	0.934
Proposed GCADW integrated with the Gabor filter	0.659	0.930	0.950	0.704	0.920	0.937
Proposed homomorphic filter integrated with the Gabor filter	0.637	0.929	0.946	0.648	0.917	0.938
Proposed JHE integrated with the Gabor filter	0.684	0.950	0.962	0.736	0.941	0.950
Proposed unsharp masking filter integrated with the Gabor filter	0.640	0.951	0.952	0.675	0.913	0.933
Proposed adaptive unsharp masking filter integrated with the Gabor filter	0.720	0.951	0.960	0.735	0.953	0.974
Proposed PSO unsharp masking filter integrated with the Gabor filter	0.748	0.959	0.980	0.759	0.961	0.984