基于图像纹理特征的隧道渗漏检测方法
打开文本图片集
Tunnel leakage detection method based on texture features
YANG Yue，CHEN Yangyang，KANG Xudong，WU Bin （Collge ofComputer and Information Engineering，Tianjin Chengjian University，Tianjin 3OO384，China）
Abstract：To address the inefficiency of traditional methods and the insuficient utilization of texture features in existing deep learning models for tunnel leakage detection， this paper proposes a leakage image segmentation method based on longitudinal texture convolution and learnable channel attention mechanism.First，considering the longitudinal extension characteristics of leakage regions，we design a longitudinal texture convolution module consisting of three cascaded asymmetric convolutional kernels with diferent scales，which enhances multi-scale receptive fields to capture longitudinal texture features. Second，we introduce a learnable parameter matrix into the channel attention mechanism to dynamically optimize feature channel weights，thereby focusing on critical regions.Based on the SegNet encoderdecoder architecture，we construct a lightweight segmentation network by incorporating Sobel operator preprocessing and pooling indices upsampling technique. Experimental validation on a public dataset containing 4 555 leakage images demonstrates that compared with U-Net and DeepLabv 3+ ，ourmethod achieves improvements of 0.72%～2.82% inintersection over union （IoU），reaching 80.64% ，with accuracy and Fl-score increased to 94.68% and 89.30% ，respectively. Ablation studies further verify the effectiveness of the longitudinal texture convolution （LTC） and learnable channel attention （LCA） modules，whose combination improves IoU by 3.96% . By integrating multi-scale longitudinal texture features with adaptive channel weighting mechanism，the proposed method significantly enhances segmentation precision for leakage regions，providing an efficient solution for infrastructure safety monitoring.
Key words：tunnel leakage detection；longitudinal texture convolution；channel attention；multi-scale receptive fields
1引言
随着隧道网络的不断扩展与老化，我国正从大规模的“隧道建设热潮"转向更为细致的“隧道维护管理阶段”，隧道的安全问题也逐渐浮出水面，成为社会各界关注的焦点。（剩余12631字）
