Table 7.

Feature performance evaluation using ANN classifier and ground-truth segmentation on mouse-NIAID.

${\mathrm{ANN}}_{(\text{mouse}\text{-}\mathrm{NIAID})}$
	TP	TN	FP	FN	Precision	Recall	Accuracy	F1
YCbCr	794	620	63	78	0.93	0.91	0.91	0.92
LBP	774	607	83	91	0.90	0.89	0.89	0.90
NG	809	634	48	64	0.94	0.93	0.93	0.94
NGSL	796	630	61	65	0.93	0.92	0.92	0.93
NRGB	812	651	45	47	0.95	0.95	0.94	0.95
NRGB + JAMBP	828	653	29	45	0.97	0.95	0.95	0.96