Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1215005(2022)
Crack Detection Algorithm Based on Improved Multibranch Feature Shared Structure Network
[2] Xu Z G, Zhao X M, Song H S et al. Asphalt pavement crack recognition algorithm based on histogram estimation and shape analysis[J]. Chinese Journal of Scientific Instrument, 31, 2260-2266(2010).
[5] Wang D F, Zeng W M, Wang N C. Road crack detection under uneven illumination using improved K-means algorithm[J]. Computer Applications and Software, 32, 244-247, 300(2015).
[6] Lu X P, Zhang H, Zhang D M et al. An iterative binary road crack detection method based on UAV image[J]. Journal of Henan Polytechnic University (Natural Science), 38, 55-59(2019).
[10] Zhu S Y, Du J C, Li Y S et al. Method for bridge crack detection based on the U-Net convolutional networks[J]. Journal of Xidian University, 46, 35-42(2019).
[12] Zhang S K, Wu Q X, Lin Z Y. Detection and segmentation of structured light stripe in weld image[J]. Acta Optica Sinica, 41, 0515002(2021).
Get Citation
Copy Citation Text
Gang Li, Yongqiang Chen, Tingquan He, Yu Dai, Dongchao Lan. Crack Detection Algorithm Based on Improved Multibranch Feature Shared Structure Network[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1215005
Category: Machine Vision
Received: May. 17, 2021
Accepted: Jun. 11, 2021
Published Online: May. 23, 2022
The Author Email: Yongqiang Chen (2019132048@chd.edu.cn)