结构工程师2025，Vol.41Issue(4)：31-40,10.DOI:10.15935/j.cnki.jggcs.202504.0005
混凝土构件表面裂缝分割的改进SegFormer方法
Improved SegFormer Model for Surface Crack Segmentation in Concrete Components
摘要
Abstract
Concrete structures commonly exhibit visible surface cracks and detecting these surface cracks is of great significance for structural condition assessment.This paper presents an improved attention mechanism mode for surface crack segmentation.The method leverages the network framework and innovative module(CA)of the improved attention mechanism mode,adds a coordinate attention module to the decoder,and by introducing pooling along the diagonal direction significantly enhances the model's understanding of elongated spatial relationships in pixel-level predictions.Comparative experiments on the public dataset Concrete3k demonstrate that the improved attention mechanism mode achieves the highest IoU value,indicating superior performance in crack segmentation tasks.Additionally,the improved attention mechanism mode maintains high performance with a relatively low parameter count.关键词
混凝土构件/表面裂缝/图像分割/改进SegFormer模型/深度学习/鲁棒性Key words
concrete components/surface cracks/image segmentation/improved attention mechanism mode/deep learning/robustness分类
建筑与水利引用本文复制引用
龚玉磊,张亚丽,章红梅,王爱华..混凝土构件表面裂缝分割的改进SegFormer方法[J].结构工程师,2025,41(4):31-40,10.基金项目
国家自然科学基金(52378540) （52378540）
