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
Image Detection Method and Application of GPR Based on Hough Transform for Pipeline Leakage Defects
施烨辉 1许佳毅 2沈宇鹏2
作者信息
- 1. 江苏南京地质工程勘察院 南京市 100068
- 2. 北京交通大学土木建筑工程学院 北京市 100044
- 折叠
摘要
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.
Abstract
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.
关键词
Hough变换/探地雷达/图像检测/管道病害Key words
Hough transform/ground penetrating radar/image detection/pipeline defect引用本文复制引用
出版年
2024
NETL
NSTL
万方数据