您当前的位置：
首页 >
文章列表页 >
Image segmentation method of bridge crack repair traces based on Poisson-noise and bilateral-filtering algorithm
Digital Twins and Intelligent Construction | 更新时间：2023-11-28

    • Image segmentation method of bridge crack repair traces based on Poisson-noise and bilateral-filtering algorithm

    • “In the field of intelligent recognition of concrete bridge diseases, experts have proposed a Poisson noise bilateral filtering algorithm. By adding Poisson noise and Otsu algorithm for image segmentation, the accuracy of crack repair trace recognition has been effectively improved, providing a new solution for intelligent recognition of bridge diseases.”
    • Journal of Civil and Environmental Engineering   Vol. 46, Issue 1, Pages: 232-243(2024)

    • DOI：10.11835/j.issn.2096-6717.2023.002    

      CLC： U446.3

    • Received：12 August 2022，

      Published：25 February 2024

    移动端阅览

  • HE Zhongying,XU Wen.Image segmentation method of bridge crack repair traces based on Poisson-noise and bilateral-filtering algorithm[J].Journal of Civil and Environmental Engineering,2024,46(01):232-243. DOI： 10.11835/j.issn.2096-6717.2023.002.

  •  
  •  

0

Views

9

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Flexural performance of prestressed RC-UHPC composite box girder
Crack resistance of prestressed RC-UHPC composite box girder
Fatigue crack growth of Q550E high strength steel and welded joint
Research status and prospect of assembled RC piers
Temperature coupling effects and cable force prediction of cable-stayed bridge with steel arch tower

Related Author

JI Bangchong
ZHAO Jinbing
LIN Jianfan
LIN Shangshun
YANG Yang
XIA Zhanghua
LIN Shangshun
XIA Zhanghua

Related Institution

Haoyao Times (Fujian) Group Co., Ltd.
Fujian Provincial Transportation Research Institute Co., Ltd
Fujian Provincial Key Laboratory of Civil Engineering New Technology and Information Technology, Fujian University of Technology
School of Civil Engineering, Fuzhou University
Haoyao Times (Fujian) Group Co., Ltd
0