EURASIP Journal on Image and Video Processing

Table 3 Classification accuracy (%) on CuRet database using different LBP operators

From: Concave-convex local binary features for automatic target recognition in infrared imagery

	( P, R) = (8,1)				( P, R) = (16,2)				( P, R) = (24,3)
	46	23	12	6	46	23	12	6	46	23	12	6
${LBP}_{P, R}^{riu2}$	70.06	65.77	54.21	47.33	74.49	70.40	58.55	51.23	75.71	72.51	61.52	54.64
${CCLBP}_{P, R}^{riu2}$	83.98	78.71	65.47	57.57	82.96	77.64	64.62	56.59	82.30	78.18	66.53	58.95
${LTP}_{P, R}^{riu2}$	77.36	71.77	58.33	49.84	82.54	76.29	62.54	54.21	83.15	77.85	64.37	56.40
${CCLTP}_{P, R}^{riu2}$	83.45	76.90	62.86	54.18	86.21	79.37	65.46	56.71	86.58	80.58	67.26	59.02
${SLBP}_{P, R}^{riu2}$	71.45	62.75	53.61	39.55	75.55	66.64	58.26	44.11	77.26	67.24	58.67	47.16
${CCSLBP}_{P, R}^{riu2}$	77.98	68.90	59.90	44.45	81.18	70.90	61.27	47.94	82.50	72.65	65.25	50.90
${CLBP}_{P, R}^{riu2}$	85.78	79.69	66.84	58.61	86.28	80.72	67.39	59.02	86.25	81.47	68.54	60.36
${CCCLBP}_{P, R}^{riu2}$	88.19	81.24	67.77	59.36	88.41	81.79	68.29	60.11	88.66	83.22	70.47	62.57

Back to article page