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高反光场景下高压电缆接头表面缺陷的偏振视觉检测

赵鸿飞 刘子瑜 韩卓展 李茂 李濛 徐涛 黄嘉盛 来立永

自动化与信息工程2026,Vol.47Issue(4):26-34,9.
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自动化与信息工程2026,Vol.47Issue(4):26-34,9.DOI:10.12475/aie.20260404

高反光场景下高压电缆接头表面缺陷的偏振视觉检测

Polarization Vision Detection for Surface Defects of High-voltage Cable Joints in High-reflection Scenes

赵鸿飞 1刘子瑜 1韩卓展 1李茂 1李濛 1徐涛 1黄嘉盛 1来立永1

作者信息

  • 1. 广东电网有限责任公司广州供电局,广东 广州 510000
  • 折叠

摘要

Abstract

To address the issue of low visual inspection accuracy caused by high specular reflection on the surface of high-voltage cable joints,this paper proposes a visual detection method that integrates polarization imaging with defect-specific differentiation.The method extracts the degree of linear polarization(DoLP)and angle of linear polarization(AoLP)from Stokes vectors and fuses them with weighted combination to suppress high-reflection interference and enhance defect separability.Aiming at two typical surface defects-residual semiconductive particles on the main insulation and incomplete peeling of the outer semiconductive layer-a defect-specific differentiation algorithm is developed.This algorithm combines adaptive threshold segmentation with morphological optimization for one defect type,and sub-pixel edge extraction with random sample consensus(RANSAC)-based conic fitting for the other,enabling localization,segmentation,and type classification of the two defects.Experimental results demonstrate that the proposed method achieves detection accuracies of 95.7%and 94.3%for the two defect types,respectively,with both false-negative and false-positive rates lower than those of conventional visible-light imaging methods.This work provides technical support for quality inspection of high-voltage cable joint fabrication.

关键词

高压电缆接头/表面缺陷检测/偏振成像/高反光抑制/机器视觉

Key words

high-voltage cable joints/surface defect detection/polarization imaging/high-reflection suppression/machine vision

分类

信息技术与安全科学

引用本文复制引用

赵鸿飞,刘子瑜,韩卓展,李茂,李濛,徐涛,黄嘉盛,来立永..高反光场景下高压电缆接头表面缺陷的偏振视觉检测[J].自动化与信息工程,2026,47(4):26-34,9.

自动化与信息工程

1674-2605

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