Research Article
Network Art Image Classification and Print Propagation Extraction Based on Depth Algorithm
Table 4
Classification accuracy of two-feature combinations.
| | SVM (%) | RF (%) | Bayes (%) | KNN (%) |
| DSIFT + HSV | 85.61 | 85.17 | 86.19 | 73.11 | DSIFT + HOG | 71.25 | 65.98 | 73.64 | 50.60 | DSIFT + Gabor | 63.98 | 69.31 | 65.12 | 55.81 | DSIFT + LBP | 62.66 | 65.87 | 62.67 | 56.92 | SURF + HSV | 89.03 | 88.15 | 89.70 | 80.10 | SURF + Gabor | 66.21 | 65.94 | 64.22 | 57.62 | SURF + HOG | 67.84 | 62.45 | 63.37 | 52.00 | SURF + LBP | 69.33 | 64.83 | 68.30 | 64.13 |
|
|