Research Article

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

Table 5

LOO results for all individual and combined datasets using top 2 features.

DatasetsNumber of featuresFeature nameSVMKNNNB
AccSnSpAccSnSpAccSnSp

A12A189 and A22660.7141.1890.9146.4358.8227.2746.4347.0645.45
A22A189 and A22653.3347.0661.5466.6776.4753.8536.6741.1830.77
A32A189 and A22650.0047.0653.8546.6752.9438.4640.0047.0630.77
T12A189 and A22663.3352.9476.9250.0052.9446.1550.0047.0653.85
T22A189 and A22656.2564.7146.6765.6364.7166.6768.7558.8280
T32A189 and A22666.6758.8273.6875.0070.5978.9566.6764.7168.42
W12A189 and A22680.6570.5992.8661.2970.595064.5258.8271.43
W22A189 and A22671.8876.4766.6746.8852.944062.5058.8266.67
W32A189 and A22675.7676.477560.6158.8262.575.7664.7187.5
A1, A2, and A32A189 and A22661.1135.2972.9762.9635.2975.6872.2229.4191.89
T1, T2, and T32A189 and A22668.7552.9474.4779.6947.0691.4975.0035.2989.36
W1, W2, and W32A189 and A22675.8170.5977.7864.5241.1873.3372.5829.4188.89
All2A189 and A22672.6070.5972.8782.8823.5390.791.1029.4199.22