A “Tuned” Mask Learnt Approach Based on Gravitational Search Algorithm

Table 6

Result of different algorithms for public texture images.

Dataset	Meas.	GA	PSO	AIA	HBMO	GSA
Brick	Avg	28.8825	30.4275	31.5182	31.7380	32.6939
	Std	2.2992	1.4374	0.8639	0.8022	0.6479
	Accuracy (%)	93.4493	94.5665	95.3433	95.7774	96.3742
	Time	0.2753	0.2728	0.2780	0.2782	0.2746
Rock	Avg	27.0690	27.9645	28.8741	28.9564	29.4108
	Std	1.7956	0.8883	0.8296	0.7970	0.6602
	Accuracy (%)	89.0483	90.1657	91.0628	91.3764	92.0350
	Time	0.2767	0.2735	0.2794	0.2910	0.2759
Tile	Avg	48.0013	48.7289	49.4354	49.5988	50.1986
	Std	2.4916	1.8612	1.5016	1.3950	1.0025
	Accuracy (%)	93.6011	94.1028	94.5532	94.7149	95.0289
	Time	0.2814	0.2755	0.2847	0.2948	0.2783