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基于机器视觉的路桥裂缝病害自动检测技术

Author(s)：
康玉兔

Publication Title：

Urban and Rural Studies 2025 No.19

Affiliations：
深圳市盐田港建筑工程检测有限公司

Abstract：
本文致力于开发基于机器视觉的路桥裂缝病害自动检测技术，解决传统检测在效率、准确性和成本上的缺陷。选用高分辨率相机、无人机采集路桥表面图像数据，图像预处理时用中值滤波、均值滤波去噪，通过对比度增强、直方图均衡化提升图像质量。特征提取阶段，借助Sobel、Canny等算子提取裂缝边缘，结合灰度共生矩阵等方法获取纹理特征。实验证明该技术大幅提升路桥裂缝检测效率与准确性，为路桥养护提供可靠技术支撑。

Keywords：
机器视觉；路桥裂缝；病害检测；图像处理

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[1] 康玉兔.基于机器视觉的路桥裂缝病害自动检测技术[J].Urban and Rural Studies,2025(19),.

城镇建设

Urban and Rural Studies

Language: 中文

CN：10-1589/TU

ISSN：2096-6539

Publication Frequency: 半月刊

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