Image segmentation approach for surface rust of existing steel structures based on improved DeepLabV3+

MENG Qingcheng; ZHANG Fa; XIONG Shuang; QI Xin

doi:10.11835/j.issn.2096-6717.2025.004

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Image segmentation approach for surface rust of existing steel structures based on improved DeepLabV3+

更新时间：2025-03-05

- Image segmentation approach for surface rust of existing steel structures based on improved DeepLabV3+
- “The latest research proposes a lightweight HL DeepLabV3+model, which effectively improves the accuracy of steel structure corrosion damage monitoring and provides a new method for structural safety assessment.”
- Journal of Civil and Environmental Engineering Pages: 1-12(2025)
- 作者机构：
  
  1.西南石油大学土木工程与测绘学院，成都610500
  2.西南交通大学土木工程学院，成都610031
- 作者简介：
  
  MENG Qingcheng (1980- ), PhD, main research interests: bridge structure health monitoring and damage identification, E-mail: 214400395@qq.com.
- 基金信息：
  
  National Natural Science Foundation of China(52078442);Opening Project of Sichuan Province University Key Laboratory of Bridge Non-destruction Detecting and Engineering Computing(2024QZJ03)
- DOI：10.11835/j.issn.2096-6717.2025.004
  CLC： TU391;TP391.4
- Received：28 September 2024，
  
  Online First：05 March 2025，
- 稿件说明：
移动端阅览
孟庆成,张发,熊爽等.基于改进DeepLabV3+的既有钢结构表面锈蚀图像分割方法[J].土木与环境工程学报,

MENG Qingcheng,ZHANG Fa,XIONG Shuang,et al.Image segmentation approach for surface rust of existing steel structures based on improved DeepLabV3+[J].Journal of Civil and Environmental Engineering,
孟庆成,张发,熊爽等.基于改进DeepLabV3+的既有钢结构表面锈蚀图像分割方法[J].土木与环境工程学报, DOI：10.11835/j.issn.2096-6717.2025.004.

MENG Qingcheng,ZHANG Fa,XIONG Shuang,et al.Image segmentation approach for surface rust of existing steel structures based on improved DeepLabV3+[J].Journal of Civil and Environmental Engineering, DOI：10.11835/j.issn.2096-6717.2025.004.

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Image segmentation approach for surface rust of existing steel structures based on improved DeepLabV3+

DOI：10.11835/j.issn.2096-6717.2025.004