Table 6.

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

${\mathrm{SVM}}_{(\text{mouse}\text{-}\mathrm{NIAID})}$
	TP	TN	FP	FN	Precision	Recall	Accuracy	F1
YCbCr	779	652	42	78	0.95	0.91	0.92	0.93
LBP	813	666	28	44	0.97	0.95	0.95	0.96
NG	757	620	74	100	0.91	0.88	0.89	0.90
NGSL	811	668	26	46	0.97	0.95	0.95	0.96
NRGB	817	662	32	40	0.96	0.95	0.95	0.96
NRGB + JAMBP	821	640	54	36	0.94	0.96	0.94	0.95