摘要
为有效对聚乙烯(PE)管道内部缺陷进行检测,采用微波无损检测技术对PE管道进行检测及缺陷定量。针对PE管道缺陷图像的提取,提出了一种基于主成分分析(PCA)杂波抑制成像增强方法。针对已增强图像,使用阈值分割技术提取缺陷特征。实验结果表明,所提方法能有效对PE管道进行成像并对缺陷进行凸显,其成像质量优于未进行杂波抑制的图像,与理论值进行对比,缺陷定位的平均相对误差为2.38 mm,缺陷面积相对误差为13.25%。
In order to effectively detect internal defects in polyethylene(PE)pipeline,microwave non-destructive testing technology was used to detect and quantify defects in PE pipelines.A clutter suppression imaging enhancement method based on principal component analysis(PCA)was proposed for extracting defect images from PE pipelines.Threshold segmentation techniques were used to extract defect features from the enhanced images.Experimental results demonstrate that the proposed method can effectively image PE pipelines and highlight defects.The imaging quality is superior to that of images without clutter suppression.Compared to theoretical values,the average relative error in defect localization is 2.38 mm,and the relative error in area quantification is 13.25%.
作者
雒明世
张蒙蒙
方阳
LUO Mingshi;ZHANG Mengmeng;FANG Yang(School of Computer Science,Xi’an Shiyou University,Xi’an 710065,China;School of Aerospace Engineering,Xi’an Jiaotong University,Xi’an 710049,China)
出处
《通信学报》
EI
CSCD
北大核心
2023年第9期139-148,共10页
Journal on Communications
基金
国家自然科学基金资助项目(No.52107009)。
关键词
聚乙烯管道
无损检测
微波成像
缺陷表征
polyethylene pipeline
non-destructive testing
microwave imaging
defect characterization
