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. 2016 Sep 9;5(1):1519. doi: 10.1186/s40064-016-3175-4

Table 3.

Comparison Of Isolated Features And hybrid feature classification

Features Without PCA With PCA
Sensitivity Specificity Acc. % PCA Sensitivity Specificity Acc. %
Wavelets 0.9 0.75 86 142 0.9 0.78 87
LBP and color moments 0.87 0.9 88 15 0.88 0.9 89
Wavelets, color moments, Correlograms and Haralick 0.84 0.64 79 84 0.87 0.75 84
Wavelets and multi-wavelets 0.86 0.75 83 304 0.93 0.78 89
Multi-wavelets 0.8 0.64 76 18 0.86 0.82 85
Wavelets, color moments, Correlograms 0.84 0.57 77 3 0.87 0.68 82
Wavelets and color moments 0.88 0.75 84 77 0.9 0.78 87
Wavelets, color moments, Haralick feat. 0.84 0.75 82 192 0.88 0.82 86
Wavelets and Haralick feat. 0.82 0.75 78 185 0.83 0.86 84
LBP 0.86 0.64 80 9 0.84 0.7 81
LBP and multi-wavelets 0.86 0.75 83 18 0.86 0.82 85
LBP, wavelets, multi-wavelets 0.86 0.67 81 309 0.9 0.78 89
Haralick feat. 0.75 0.78 76 52 0.85 0.75 82
Color moments and correlograms 0.8 0.35 69 11 0.8 0.57 74
LBP, wavelets, color moments multi-wavelets 0.86 0.75 83 308 0.9 0.78 87