Xiaoyun Ma, Dan Zhu, Chen Jin, Xinxin Tong. Bullet Appearance Defect Detection Based on Improved Faster Region-Convolutional Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(15): 151202
- Laser & Optoelectronics Progress
- Vol. 56, Issue 15, 151202 (2019)
Fig. 1. Target detection framework based on Faster R-CNN
Fig. 2. Structure of region proposal network
Fig. 3. RoI pooling process
Fig. 4. Diagram of anchor proportion
Fig. 5. K-means++ clustering results based on different g values. (a) g=3; (b) g=4; (c) g=5; (d) g=6; (e) g=7
Fig. 6. Examples of bullet appearance defect dataset. (a) Mouthcrack; (b) mouthgap
Fig. 7. Partial test results based on improved Faster R-CNN model. (a) Mouthcrack; (b) mouthgap
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Table 1. Experimental environment
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Table 2. Comparison of detection results of Faster R-CNN model based on different convolutional networks
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Table 3. Comparison of test results of different anchor generation methods
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Table 4. Comparison of test results of different anchor numbers
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