Table 5.

Performance analysis of SpikeSegNet approach on illuminated dataset

	Gamma 0.1	Gamma 0.3	Gamma 0.5	Gamma 1 (original image)	Gamma 1.5	Gamma 2.0	Gamma 2.5
Classification error rate (E1)	0.005349223	0.003051249	0.002396139	0.001693726	0.00177917	0.0020579	0.002359009
Classification error rate (E2)	0.083304137	0.042303843	0.040107991	0.04874738	0.06317883	0.08736489	0.108331881
Average_Precision	0.998094286	0.999318633	0.999408703	0.999325313	0.99911935	0.99879521	0.998452183
Average_Recall	0.996521902	0.997607927	0.998178134	0.99896944	0.99908922	0.99913291	0.998812372
Average_F_1_measure	0.997302422	0.998461999	0.998792781	0.999147219	0.99910416	0.99896389	0.998812369
Average_Accuracy	0.997302421	0.998462003	0.998792786	0.999147223	0.99910416	0.9989639	0.998812372
Average_Jaccard_Index_for_Spike_detection:	0.994627456	0.99693175	0.997591056	0.998298182	0.99821199	0.99793177	0.997629168