Defect Detection for Glass Seal Insulated Terminals Based on Sector Neighborhood Feature Engineering

CAI Nian; LI Weibo; HUANG Qinhao; ZHOU Shuai; QIU Baojun; HE Zhaoquan

doi:10.11999/JEIT211346

Volume 44 Issue 5

May 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(5): 1548-1553

CAI Nian, LI Weibo, HUANG Qinhao, ZHOU Shuai, QIU Baojun, HE Zhaoquan. Defect Detection for Glass Seal Insulated Terminals Based on Sector Neighborhood Feature Engineering[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1548-1553. doi: 10.11999/JEIT211346

Citation:

CAI Nian, LI Weibo, HUANG Qinhao, ZHOU Shuai, QIU Baojun, HE Zhaoquan. Defect Detection for Glass Seal Insulated Terminals Based on Sector Neighborhood Feature Engineering[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1548-1553. doi: 10.11999/JEIT211346

Citation:

CAI Nian, LI Weibo, HUANG Qinhao, ZHOU Shuai, QIU Baojun, HE Zhaoquan. Defect Detection for Glass Seal Insulated Terminals Based on Sector Neighborhood Feature Engineering[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1548-1553. doi: 10.11999/JEIT211346

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Defect Detection for Glass Seal Insulated Terminals Based on Sector Neighborhood Feature Engineering

doi: 10.11999/JEIT211346

CAI Nian^{1, 4
,
,},
LI Weibo¹,
HUANG Qinhao¹,
ZHOU Shuai^{2, 3},
QIU Baojun³,
HE Zhaoquan¹

1.
School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China
2.
Tianjin University, Tianjin 300072, China
3.
China Electronic Product Reliability and Environmental Testing Research Institute, Guangzhou 510006, China
4.
Huizhou Guangdong University of Technology IoT Cooperative Innovation Institute Co., Ltd., Huizhou 516025, China

Funds: The National Natural Science Foundation of China (62171142), The National Natural Science Foundation of Guangdong Province (2021A1515011908), The Research Fund for Colleges and Universities in Huizhou (2019HZKY003)

Received Date: 2021-11-29
Accepted Date: 2022-02-23
Rev Recd Date: 2022-02-18

Available Online: 2022-03-05

Publish Date: 2022-05-10

Abstract

Abstract

In this paper, an appearance quality inspection method for glass seal insulated terminals is proposed based on feature engineering to replace the current manual inspection. First, the inspecting region in the glass seal insulated terminal image is divided into many sectors based on the shape prior of the terminal. Second, considering the characteristics of the image, four categories of sector features are designed, such as sector basic features, sector gray change rates, sector reflection features and sector direction statistical features. Then, they are input into a Gradient Boosting Decision Tree (GBDT) for rough classification. Next, to characterize excellently the sectors, a new image feature called Sector Neighborhood (SN) feature is designed by combining sector features of the nearest neighbor sectors and rough classification results for these sectors. Finally, the SN features and sector features are input into the GBDT for fine classification, which indicates final quality inspection. The experimental results indicate that the proposed method can achieve better inspection performance with reasonable inspection time compared to the existing inspection methods, which has 97.45% IoU and 0.987 F1.
- Appearance quality inspection,
- Glass seal insulated terminal,
- Sector feature,
- Sector Neighborhood (SN) feature,
- Gradient Boosting Decision Tree (GBDT)

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References(14)

References

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