首页|基于Hough变换的管道漏水病害探地雷达图像检测方法与应用

基于Hough变换的管道漏水病害探地雷达图像检测方法与应用

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图像边缘检测是计算机视觉领域一个基础而重要的技术.该文基于图像边缘检测技术Hough变换方法,对不同方位管道漏水病害探地雷达模拟图像的振幅、相对波阻抗和瞬时振幅图进行自动检测,实验和实际雷达数据检测结果显示,这种图像处理方法可以更好地识别探地雷达图像中的病害特征,对人工识别探地雷达管道漏水病害起到了辅助性作用,并提供了机器学习识别病害的基础方法.
Image Detection Method and Application of GPR Based on Hough Transform for Pipeline Leakage Defects
Image edge detection is a basic and crucial technology in the field of computer vision.It utili-zes image edge detection technology based on Hough transform method to automatically detect the ampli-tude,relative wave impedance and instantaneous amplitude maps of GPR simulation images of pipeline leakage defects in different directions in this paper.The experimental and actual radar data detection re-sults show that this image processing method can better intelligently identify disease features in GPR ima-ges,play an auxiliary role in artificial detection of GPR pipeline leakage defects,and provide a basic method for machine learning-based disease defect detection.

Hough transformground penetrating radarimage detectionpipeline defect

施烨辉、许佳毅、沈宇鹏

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江苏南京地质工程勘察院 南京市 100068

北京交通大学土木建筑工程学院 北京市 100044

Hough变换 探地雷达 图像检测 管道病害

2024

勘察科学技术
中勘冶金勘察设计研究院有限责任公司

勘察科学技术

CSTPCD
影响因子:0.31
ISSN:1001-3946
年,卷(期):2024.(4)