Table 9 Mean classification accuracy for descriptors computed on the Mondial Marmi dataset
From: Evaluation of noise robustness for local binary pattern descriptors in texture classification
| Â | Mondial Marmi dataset | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
Noise levels | 0 | 0.0002 | 0.0006 | 0.0021 | 0.0070 | 0.0234 | 0.0785 | 0.2637 | 0.8859 | 2.9764 | 10.0000 |
LBP | 85.9 | 80.2 | 78.1 | 80.7 | 60.9 | 52.1 | 52.1 | 33.9 | 24.0 | 20.8 | 22.4 |
ILBP | 95.8 | 93.2 | 95.8 | 83.3 | 66.7 | 54.2 | 67.2 | 61.5 | 50.0 | 55.2 | 39.6 |
MBP | 90.1 | 82.8 | 64.6 | 40.6 | 29.2 | 28.1 | 17.7 | 16.7 | 35.9 | 32.3 | 25.0 |
LTP | 94.8 | 88.5 | 88.5 | 79.2 | 69.8 | 55.7 | 57.3 | 39.6 | 37.5 | 27.6 | 24.0 |
ILTP | 93.8 | 91.1 | 88.5 | 88.0 | 70.8 | 62.5 | 71.4 | 55.2 | 40.6 | 46.9 | 29.2 |
LQP | 89.6 | 89.6 | 88.5 | 88.0 | 59.9 | 31.8 | 37.0 | 23.4 | 28.1 | 25.5 | 20.8 |
RLBP | 85.9 | 86.5 | 90.1 | 77.6 | 65.6 | 51.6 | 46.9 | 41.7 | 35.9 | 33.9 | 22.9 |
FLBP | 95.3 | 94.3 | 91.7 | 81.3 | 68.8 | 56.3 | 61.5 | 33.9 | 22.4 | 22.9 | 15.6 |
SLBP | 91.1 | 93.2 | 90.1 | 83.3 | 67.2 | 45.8 | 57.3 | 47.9 | 33.3 | 24.0 | 26.0 |
GF | 94.8 | 94.8 | 94.3 | 93.2 | 90.1 | 81.3 | 75.5 | 37.0 | 25.5 | 10.9 | 8.9 |
GLCM | 95.8 | 91.7 | 90.6 | 89.1 | 77.6 | 61.5 | 51.0 | 52.6 | 26.0 | 10.9 | 9.9 |