Table 3. Statistics of glomerulus classification using different color texture descriptors (mean±std.).

Feature set	Dimension	FLD		SVM		KNN
		ACC	AUC	ACC	AUC	ACC	AUC
LBP [8]	36	0.705±0.032	0.775±0.032	0.695±0.040	0.770±0.052	0.691±0.035	0.755±0.043
ind-LBP	3×36	0.716±0.030	0.799±0.031	0.720±0.030	0.792±0.051	0.714±0.034	0.802±0.033
OC-LBP [25]	6×36	0.730±0.028	0.813±0.025	0.730±0.038	0.830±0.052	0.716±0.031	0.803±0.032
norm-LBP [27]	36	0.685±0.031	0.752±0.032	0.689±0.047	0.746±0.051	0.675±0.042	0.733±0.041
LCVBP [14]	4×36	0.758±0.031	0.844±0.026	0.785±0.033	0.853±0.052	0.792±0.031	0.866±0.028
LCC [30]	256	0.582±0.036	0.619±0.038	0.570±0.041	0.595±0.065	0.583±0.034	0.610±0.045
LCC-LBP [30]	256+36	0.665±0.029	0.726±0.029	0.626±0.040	0.709±0.054	0.641±0.040	0.702±0.048
LAP [31]	3×36	0.715±0.029	0.780±0.030	0.721±0.046	0.795±0.041	0.696±0.017	0.767±0.021
LAP-LBP [31]	6×36	0.830±0.024	0.903±0.018	0.813±0.048	0.901±0.036	0.776±0.027	0.861±0.022
QDCP	36	0.809±0.024	0.892±0.022	0.839±0.023	0.896±0.020	0.843±0.025	0.876±0.043
QDCP-LBP	2×36	0.847±0.023	0.919±0.020	0.846±0.027	0.920±0.024	0.838±0.031	0.913±0.016
QDCP/LBP	362	0.930±0.017	0.977±0.010	0.897±0.066	0.961±0.062	0.838±0.032	0.920±0.022