원문정보
Analysis of Secondary Battery Based on Image Processing of Computed Tomography
초록
영어
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.
목차
1. 서론
2. 이차전지의 분석 방법
2.1 이차전지 분석용 CT 영상 획득 방법
2.2 이차전지 분석용 관심영역 설정 방법
2.3 이차전지의 탭 검출 방법
2.4 탭 사이의 거리 측정 방법
2.5 이차전지의 불량 판단 방법 및 결과
3. 결론
References