Table 7.
The correct classification percentages for isotropic textures of data set 3 using the proposed method with db4 wavelet, different feature sets, and different k values in k-NN classifier.
Wavelet Basis |
k |
||||||
---|---|---|---|---|---|---|---|
Features | 1 | 3 | 5 | 1 | 3 | 5 | |
Before Weight | After Weight | ||||||
db4 | e1 | 84.0 | 80.0 | 74.2 | 86.4 | 81.9 | 75.2 |
e2 | 54.2 | 42.9 | 44.3 | 56.1 | 45.4 | 46.9 | |
e1&e2 | 91.0 | 88.4 | 84.5 | 94.3 | 90.3 | 84.3 |