Table 8 Mean classification accuracy for descriptors computed on the Kylberg dataset
From: Evaluation of noise robustness for local binary pattern descriptors in texture classification
| Â | Kylberg 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 | 97.8 | 97.5 | 97.0 | 95.6 | 89.2 | 70.3 | 44.0 | 22.4 | 9.2 | 5.4 | 5.1 |
ILBP | 98.9 | 98.6 | 98.2 | 96.4 | 91.1 | 76.0 | 53.8 | 35.3 | 16.4 | 8.2 | 5.9 |
MBP | 96.8 | 91.3 | 84.5 | 80.9 | 85.7 | 80.3 | 57.0 | 26.2 | 7.1 | 4.1 | 3.2 |
LTP | 99.7 | 99.6 | 99.5 | 98.5 | 94.1 | 80.6 | 52.5 | 25.3 | 9.9 | 6.3 | 4.9 |
ILTP | 99.7 | 99.6 | 99.4 | 99.0 | 97.2 | 86.1 | 65.1 | 41.1 | 18.0 | 8.3 | 5.4 |
LQP | 99.3 | 98.5 | 98.1 | 93.7 | 72.1 | 41.3 | 23.9 | 13.8 | 6.3 | 4.6 | 4.2 |
RLBP | 98.8 | 98.6 | 98.1 | 96.1 | 91.0 | 75.1 | 46.9 | 21.1 | 7.4 | 5.3 | 4.3 |
FLBP | 99.2 | 99.4 | 99.4 | 99.0 | 95.4 | 76.6 | 45.2 | 22.3 | 8.2 | 4.8 | 4.5 |
SLBP | 98.0 | 98.1 | 97.7 | 95.5 | 87.7 | 65.7 | 38.4 | 19.2 | 8.2 | 5.1 | 4.4 |
GF | 95.2 | 94.7 | 94.0 | 92.8 | 89.7 | 78.7 | 58.5 | 32.6 | 11.5 | 4.3 | 3.7 |
GLCM | 84.7 | 84.8 | 85.1 | 84.4 | 79.8 | 63.1 | 51.8 | 31.0 | 12.2 | 4.9 | 3.5 |