Tunnel leakage detection method based on texture features
Image Processing|更新时间:2025-09-08
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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 DisplaysVol. 40, Issue 9, Pages: 1347-1355(2025)
作者机构:
天津城建大学 计算机与信息工程学院, 天津 300384
作者简介:
基金信息:
National Natural Science Foundation of China(62201378);Supported by Tianjin Science and Technology Program(24YDTPJC00970)
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:
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.
Tunnel leakage detection method based on texture features