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Concrete crack segmentation combined with linear guidance and mesh optimization
Information Sciences | 更新时间：2024-02-01
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    • Concrete crack segmentation combined with linear guidance and mesh optimization

    • “混凝土表面裂缝分割技术的最新研究成果亮相。针对分割精度低、细微裂缝漏分和背景干扰等问题，研究团队提出了一种创新的联合线性引导和网格优化的裂缝分割模型。这一模型通过引入多分支线性引导模块，显著提升了网络对裂缝线性结构的表达能力，加强了不同区域裂缝间的联系，提高了全局上下文信息感知能力，进而提高了分割精度。同时，网格细节优化模块的提出，成功防止了细微裂缝的漏分，为裂缝分割领域带来了新的突破。此外，混合注意力模块的嵌入，进一步突出了裂缝特征，减少了背景干扰，进一步提升了模型的性能。在Deepcrack537、Crack500和CFD裂缝数据集上的实验结果表明，该模型的IoU值和F1-score值均明显优于大多数现有方法，展现出更高的分割精度。这一研究成果无疑为混凝土表面裂缝分割技术的发展提供了新的方向，为解决相关实际问题提供了有力支持。”
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    • Optics and Precision Engineering   Vol. 32, Issue 2, Pages: 286-300(2024)

    • DOI：10.37188/OPE.20243202.0286    

      CLC： TP391

    • Published：25 January 2024，

      Received：02 June 2023，

      Revised：13 July 2023，

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  • LIU Guanghui,CHEN Jian,MENG Yuebo,et al.Concrete crack segmentation combined with linear guidance and mesh optimization[J].Optics and Precision Engineering,2024,32(02):286-300. DOI： 10.37188/OPE.20243202.0286.

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