A Method for Extracting Features of Infrared Cloud Image Data of the Printed Circuit Board

  • Zhangwei Wang*
  • , Haiwen Yuan
  • , Ying Liu
  • , Jinmeng Li
  • , Hai Xu
  • , Xiangdong Zhang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Printed circuit boards (PCBs) are an integral part of sophisticated fighter jets and other weapons that need high reliability. The tremendous integration and complexity of PCBs cannot be satisfied by intrusive examination techniques. Meanwhile, because to its considerable benefit of non-intrusive inspection, infrared cloud imaging technology has a wide range of potential applications in the state identification of PCBs. The non-intrusive equipment PCB state identification technology is developed in this study. A temperature field model of the PCB is established. The temperature fields of typical components are analyzed. Two methods of extracting component boundaries in infrared cloud images are proposed including the temperature gradient threshold operator and temperature Laplace threshold operator. The infrared cloud image obtained by thermal simulation of the PCB verifies that the proposed methods can accurately extract the edge features of components from the infrared cloud image. Edge recognition methods will provide a basis for mining more data features of infrared cloud images.

Original languageEnglish
Title of host publicationICIEA 2022 - Proceedings of the 17th IEEE Conference on Industrial Electronics and Applications
EditorsWenxiang Xie, Shibin Gao, Xiaoqiong He, Xing Zhu, Jingjing Huang, Weirong Chen, Lei Ma, Haiyan Shu, Wenping Cao, Lijun Jiang, Zeliang Shu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1257-1262
Number of pages6
ISBN (Electronic)9781665409841
DOIs
StatePublished - 2022
Event17th IEEE Conference on Industrial Electronics and Applications, ICIEA 2022 - Chengdu, China
Duration: 16 Dec 202219 Dec 2022

Publication series

NameICIEA 2022 - Proceedings of the 17th IEEE Conference on Industrial Electronics and Applications

Conference

Conference17th IEEE Conference on Industrial Electronics and Applications, ICIEA 2022
Country/TerritoryChina
CityChengdu
Period16/12/2219/12/22

Keywords

  • edge extraction
  • infrared cloud image
  • printed circuit board

Fingerprint

Dive into the research topics of 'A Method for Extracting Features of Infrared Cloud Image Data of the Printed Circuit Board'. Together they form a unique fingerprint.

Cite this