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参考模板引导的PCB缺陷选择性局部复检方法

谢钰宁 叶廷东 陈燕升 谢峰

自动化与信息工程2026,Vol.47Issue(4):41-48,8.
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自动化与信息工程2026,Vol.47Issue(4):41-48,8.DOI:10.12475/aie.20260406

参考模板引导的PCB缺陷选择性局部复检方法

Reference Template-guided Selective Local Re-inspection Method for PCB Defects

谢钰宁 1叶廷东 1陈燕升 1谢峰1

作者信息

  • 1. 广东轻工职业技术大学人工智能学院,广东 广州 510300
  • 折叠

摘要

Abstract

To address the issues that small-scale defects on printed circuit boards(PCBs)exhibit weak responses in whole-image inference and are easily filtered out by fixed working thresholds,as well as the problem that direct fusion of local re-inspection results tends to introduce false alarms,this paper proposes a reference template-guided selective local re-inspection method for PCB defects.The method performs whole-image detection on both the test PCB image and the template-difference enhanced image,then fuses the two whole-image detection outputs in a class-wise manner and filters them with a working threshold to obtain a base whole-image fusion result.Meanwhile,a candidate threshold is used to filter and fuse the two whole-image detection outputs to retain weak-response candidate regions.For each image,at most two candidate regions are selected for local re-inspection.Finally,the expert outputs are screened and fused based on the base whole-image fusion result,the triggered category,spatial overlap relationships,and the confidence of the expert outputs.Experimental results on the DeepPCB test set show that the proposed method achieves a recall of 98.21%and an Fl-score of 97.27%,which are 4.65 and 2.42 percentage points higher than those of the baseline detector,respectively,and reduces the number of missed detections by 70,indicating that the method can effectively supplement weak-response missed detections and suppress newly introduced false alarms at low additional inference cost.

关键词

印制电路板/缺陷检测/参考模板/局部复检/误检抑制

Key words

printed circuit board(PCB)/defect detection/reference template/local re-inspection/false detection suppression

分类

信息技术与安全科学

引用本文复制引用

谢钰宁,叶廷东,陈燕升,谢峰..参考模板引导的PCB缺陷选择性局部复检方法[J].自动化与信息工程,2026,47(4):41-48,8.

基金项目

粤职电子信息与通信教指委2025年教育教学改革研究与实践项目 ()

广东轻工职业技术大学2025年度教学改革项目(JG202509). (JG202509)

自动化与信息工程

1674-2605

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