Research Article

A Statistical-Textural-Features Based Approach for Classification of Solid Drugs Using Surface Microscopic Images

Table 4

LOO results for all individual and combined datasets using top 15 features.

DatasetsNumber of featuresFR-algorithmSVMKNNNB
AccSnSpAccSnSpAccSnSp

A115CS53.5747.0663.6471.4382.3554.5557.1441.1881.82
A215CS53.3347.0661.5456.6758.8253.8553.3341.1869.23
A315CS50.0047.0653.8553.3364.7138.4660.0047.0676.92
T115CS70.0082.3553.8563.3370.5953.8553.3335.2976.92
T215CS71.8894.1246.6771.8876.4766.6753.1341.1866.67
T315CS77.7894.1263.1675.0070.5978.9566.6752.9478.95
W115CS90.3288.2492.8670.9776.4764.2958.0652.9464.29
W215CS78.1394.126071.8876.4766.6756.2535.2980
W315CS87.8894.1281.2572.7370.597566.6747.0687.5
A1, A2, and A315CS66.6741.1878.3874.0752.9483.7862.9635.2975.68
T1, T2, and T315CS65.6394.1255.3279.6952.9489.3667.1941.1876.6
W1, W2, and W315CS85.4894.1282.2277.4258.8284.4469.3529.4184.44
All15CS64.3894.1260.4786.3035.2993.0274.6629.4180.62

A115GR60.7164.7154.5567.8676.4754.5542.8647.0636.36
A215GR43.3347.0638.4656.6770.5938.4653.3347.0661.54
A315GR43.3335.2953.8540.0047.0630.7743.3335.2953.85
T115GR60.0058.8261.5456.6758.8253.8556.6747.0669.23
T215GR71.8870.5973.3375.0082.3566.6759.3852.9466.67
T315GR72.2288.2457.8963.8964.7163.1666.6782.3552.63
W115GR80.6576.4785.7174.1976.4771.4377.4276.4778.57
W215GR71.8870.5973.3371.8870.5973.3362.5064.7160
W315GR78.7988.2468.7590.9194.1287.584.8594.1275
A1, A2, and A315GR48.1535.2954.0559.2635.2970.2761.1135.2972.97
T1, T2, and T315GR65.6370.5963.8373.4447.0682.9860.9447.0665.96
W1, W2, and W315GR77.4270.598079.0364.7184.4479.0364.7184.44
All15GR60.9664.7160.4782.8823.5390.777.4047.0681.4