您当前的位置:
首页 >
文章列表页 >
Tunnel leakage detection method based on texture features
Image Processing | 更新时间:2025-09-08
    • Tunnel leakage detection method based on texture features

    • In the field of tunnel leakage detection, experts have proposed a leakage image segmentation method based on longitudinal texture convolution and learnable channel attention mechanism, which significantly improves the segmentation accuracy of leakage areas and provides an efficient solution for infrastructure safety monitoring.
    • Chinese Journal of Liquid Crystals and Displays   Vol. 40, Issue 9, Pages: 1347-1355(2025)
    • DOI:10.37188/CJLCD.2025-0092    

      CLC: TP391
    • CSTR:32172.14.CJLCD.2025-0092    
    • Received:23 April 2025

      Revised:2025-06-16

      Published:05 September 2025

    移动端阅览

  • YANG Yue, CHEN Yangyang, KANG Xudong, et al. Tunnel leakage detection method based on texture features[J]. Chinese journal of liquid crystals and displays, 2025, 40(9): 1347-1355. DOI: 10.37188/CJLCD.2025-0092. CSTR: 32172.14.CJLCD.2025-0092.

  •  
  •  

0

Views

66

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

Fourier ptychography based on multi-scale feature fusion network
Image super resolution reconstruction algorithm based on generative countermeasure network

Related Author

WU Bin
KANG Xudong
CHEN Yangyang
YANG Yue
SONG Dong-han
WANG Bin
ZHU You-qiang
LIU Xin

Related Institution

College of Computer and Information Enginerring, Tianjin Chengjian University
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences
University of Chinese Academy of Sciences
Computer Vision and Pattern Recognition Laboratory, School of Engineering Science, Lappeenranta-Lahti University of Technology
School of Information Engineering, Ningxia University
0