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Research Article

Automatic Classification of Blue and White Porcelain Sherds Based on Data Augmentation and Feature Fusion

, , , &
Article: 1994232 | Received 13 Aug 2021, Accepted 12 Oct 2021, Published online: 24 Oct 2021

Figures & data

Figure 1. Data preprocessing.

Figure 1. Data preprocessing.

Figure 2. Augmentation of the traditional image transformation.

Figure 2. Augmentation of the traditional image transformation.

Figure 3. FCutMix result.

Figure 3. FCutMix result.

Figure 4. Class activation map.

Figure 4. Class activation map.

Figure 5. Feature map.

Figure 5. Feature map.

Figure 6. FFCNet structure diagram.

Figure 6. FFCNet structure diagram.

Figure 7. Examples of the archeological ceramic pieces: (a) lotus pattern, Yuan; b) decoration with interlock branch lotus, Ming; c) chrysanthemum pattern, Ming; d) peach grain, Qing; e) grape pattern, Qing; f) pattern with fold branch peony, Yuan.

Figure 7. Examples of the archeological ceramic pieces: (a) lotus pattern, Yuan; b) decoration with interlock branch lotus, Ming; c) chrysanthemum pattern, Ming; d) peach grain, Qing; e) grape pattern, Qing; f) pattern with fold branch peony, Yuan.

Figure 8. Accuracy comparison.

Figure 8. Accuracy comparison.

Table 1. Results of multiple tests

Figure 9. Results of multiple tests.

Figure 9. Results of multiple tests.

Figure 10. The mean value of test results.

Figure 10. The mean value of test results.

Table 2. Accuracy of each model

Figure 11. Confusion matrix.

Figure 11. Confusion matrix.