Table 3 Mean classification accuracy (and standard deviations in brackets) across the eight rotation tests. A rotation test refers to training on θ=0° and testing on one of the other rotations θ≠0°
From: On the influence of interpolation method on rotation invariance in texture recognition
Descriptor | Mean | Std. | Descriptor | Mean | Std. |
|---|---|---|---|---|---|
L B P 8,1 | 52.9 | (8.9) | I L B P 8,1 | 52.0 | (7.3) |
\(\mathrm {LBP^{ri}_{8,1}}\) | 77.4 | (3.2) | \(\mathrm {ILBP^{ri}_{8,1}}\) | 85.9 | (2.2) |
\(\mathrm {LBP^{DFT}_{8,1}}\) | 79.3 | (4.6) | \(\mathrm {ILBP^{DFT}_{8,1}}\) | 79.4 | (6.1) |
\(\mathrm {LTP^{DFT}_{8,1}}\) | 89.5 | (3.9) | \(\mathrm {ILTP^{DFT}_{8,1}}\) | 90.4 | (3.7) |