Liangfu Li, Biao Wu, Nan Wang. Method for Bridge Crack Detection Based on Multiresolution Network[J]. Laser & Optoelectronics Progress, 2021, 58(12): 1210004
- Laser & Optoelectronics Progress
- Vol. 58, Issue 12, 1210004 (2021)
Fig. 1. Different types of bridge cracks. (a) Single small crack; (b) single thick crack; (c) cross crack; (d) reticulated crack
Fig. 2. Partial images of expanded bridge crack image dataset. (a) Original images; (b) 90° rotation; (c) 180° rotation; (d) horizontal flip; (e) vertical flip
Fig. 3. Structure of multi-resolution network model
Fig. 4. Schematic of fusion operation. (a) Low and medium resolution merged into high resolution; (b) high and low resolution merge into medium resolution; (c) medium and high resolution merge into low resolution
Fig. 5. HRBCS model
Fig. 6. Schematic of feature extraction block
Fig. 7. Crack detection results of different algorithms. (a) Original images; (b) labelling; (c) threshold segmentation algorithm; (d) Canny algorithm; (e) proposed algorithm
Fig. 8. Visualization results with or without dataset expansion. (a) Original images; (b) labelling; (c) without dataset expansion; (d) with dataset expansion
Fig. 9. Segmentation results of proposed algorithm and mainstream algorithm. (a) Original images; (b) labelling; (c) U-Net++; (D) DeepLab-V3+; (e) PSPNet; (f) proposed algorithm
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Table 1. Effect of HRBCS model with or without dataset expansion
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Table 2. Comparison between proposed algorithm and mainstream semantic segmentation algorithms
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