Journal of Information Technology Applications and Management

Korea Data Strategy Society (한국데이터전략학회)
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Analysis of Secondary Battery Based on Image Processing of Computed Tomography

CT 기반 영상처리를 이용한 이차전지의 분석

  • Jea-Seok Oh (Department of Robotics Engineering, Hoseo University) ;
  • Sang-Yeol Lee (Department of Mechanical Engineering, Hansung University) ;
  • Yoon-Gi Yang (Department of Information Telecommunication Engineering, The University of Suwon) ;
  • Keun-Ho Rew (Department of Robotics Engineering, Hoseo University)
  • Received : 2022.10.11
  • Accepted : 2022.10.26
  • Published : 2022.12.31
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Abstract

In this study, we presented a method to inspect the mechanical defects of 4680 type lithium-ion batteries through image processing method. The raw X-ray images are filtered with CLAHE, then Radon inverse transformations are calculated to reconstruct 3D computed tomography of the battery. Using Haar-cascade, the ROI is targeted automatically, and the template matchings are applied twice. The variations of contrast between template and background show the appropriate values for detecting tabs. It was shown that the proposed algorithm can detect all the tab inside the battery and the distances between tabs. Finally, we successfully found the geometrical defects of battery.

Keywords

References

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