Table 6 The experimental results of the mapping edge feature accuracy between the source and predicted target images.
Differences in the presence of edge features in the source and predicted target images. | ||||
|---|---|---|---|---|
Input Image Evaluating Indicator | Notebook Computer | Bicycle | Zebra | Flower |
\(K(W)\) | 0.02 | 0.01 | 0.02 | 0.01 |
\(K(V)\) | 0.03 | 0.02 | 0.02 | 0.02 |
\(K(B)\) | 0.04 | 0.03 | 0.03 | 0.04 |
Whether the dimension of public feature Mapping space is maximal | Yes | Yes | Yes | Yes |
Accuracy of image edge feature(%) | 95.31 | 95.43 | 95.76 | 96.08 |
Accuracy of image edge feature space (%) | 94.87 | 95.01 | 94.33 | 94.75 |
Accuracy of image edge feature label (%) | 93.27 | 94.11 | 93.82 | 94.01 |
Differences in the presence of edge features in the source and predicted target images. | ||||
Input Image Evaluating Indicator | Notebook Computer | Bicycle | Zebra | Flower |
\(K(W)\) | 0.03 | 0.02 | 0.03 | 0.02 |
\(K(V)\) | 0.02 | 0.02 | 0.03 | 0.02 |
\(K(B)\) | 0.04 | 0.03 | 0.03 | 0.04 |
Whether the dimension of public feature mapping space is maximal | yes | yes | yes | yes |
Accuracy of image edge feature(%) | 93.44 | 94.17 | 93.82 | 93.55 |
Accuracy of image edge feature space(%) | 91.79 | 92.22 | 91.37 | 93.05 |
Accuracy of image edge feature label(%) | 90.51 | 90.39 | 91.17 | 91.80 |
