Table 6 Mean classification accuracy for descriptors computed on the Brodatz dataset
From: Evaluation of noise robustness for local binary pattern descriptors in texture classification
| Â | Brodatz dataset | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
σ of noise | 0 | 0.0002 | 0.0006 | 0.0021 | 0.0070 | 0.0234 | 0.0785 | 0.2637 | 0.8859 | 2.9764 | 10.0000 |
LBP | 92.8 | 91.2 | 89.9 | 87.7 | 83.5 | 78.9 | 64.4 | 38.2 | 13.5 | 4.5 | 2.9 |
ILBP | 94.2 | 93.9 | 92.5 | 90.7 | 88.8 | 80.0 | 71.8 | 50.8 | 27.6 | 12.5 | 6.2 |
MBP | 92.5 | 80.6 | 69.0 | 57.9 | 45.9 | 28.0 | 23.6 | 15.2 | 12.2 | 5.2 | 3.7 |
LTP | 96.6 | 94.8 | 94.7 | 91.8 | 87.9 | 81.4 | 68.1 | 43.0 | 20.8 | 8.7 | 4.3 |
ILTP | 96.4 | 96.2 | 95.2 | 94.3 | 91.4 | 85.7 | 70.7 | 50.7 | 28.5 | 10.9 | 4.2 |
LQP | 93.7 | 91.6 | 91.1 | 82.8 | 62.6 | 43.7 | 36.2 | 21.5 | 8.6 | 3.6 | 3.7 |
RLBP | 89.4 | 86.6 | 89.0 | 82.9 | 77.9 | 70.6 | 51.6 | 26.8 | 11.7 | 4.5 | 2.6 |
FLBP | 92.6 | 91.6 | 91.5 | 89.5 | 85.5 | 79.8 | 65.5 | 36.6 | 12.7 | 5.0 | 4.5 |
SLBP | 93.9 | 93.0 | 92.4 | 91.1 | 88.2 | 83.4 | 68.8 | 39.3 | 17.2 | 6.4 | 3.0 |
GF | 87.2 | 86.8 | 87.0 | 86.7 | 86.0 | 85.3 | 81.2 | 70.9 | 34.5 | 7.7 | 1.2 |
GLCM | 83.2 | 81.3 | 80.6 | 79.8 | 75.2 | 64.7 | 49.8 | 34.6 | 13.8 | 4.0 | 0.9 |