인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
This paper proposes an algorithm for performing image registration in a corona camera including an ultraviolet camera and a visible light camera to detect the exact location of insulation deterioration, and evaluates the image registration error while applying the proposed algorithm to an actual corona camera. The proposed image registration algorithm calculates a linear transformation relation (Affine transformation) for image registration between a first image (ultraviolet image) and a second image (visible light image) that are simultaneously captured of a subject including multiple markers arranged radially, and aligns the images using this. The proposed algorithm achieves an extremely low image registration error of less than 0.25 mrad, approximately one-quarter of the 1 mrad specification for foreign corona cameras, enabling accurate identification of corona discharge locations.
To evaluate real-time applicability, corona discharges on actual high-speed railway insulators were captured using a corona camera using the proposed algorithm. The results demonstrate that the proposed algorithm enables real-time image registration and accurate real-time identification of the location of corona discharges on the insulator (consistent with previous studies, the location of the insulator's power-side joint).
To evaluate real-time applicability, corona discharges on actual high-speed railway insulators were captured using a corona camera using the proposed algorithm. The results demonstrate that the proposed algorithm enables real-time image registration and accurate real-time identification of the location of corona discharges on the insulator (consistent with previous studies, the location of the insulator's power-side joint).
본문·목차
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