- 머신비전을 이용한 판토그래프 습판 마모 측정에 있어서 우천으로 인한 영상노이즈 제거방법에 관한 연구
- ㆍ 저자명
- 이성권,이대원,김길동,Lee. Seong-Gwon,Lee. Dae-Won,Kim. Gil-Dong
- ㆍ 간행물명
- 한국철도학회 논문집
- ㆍ 권/호정보
- 2009년|12권 3호|pp.364-369 (6 pages)
- ㆍ 발행정보
- 한국철도학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
Pantograph sliding plate abrasion auto-detect system, one of the electric rail car auto-detecting devices, is a system that decides how much abrasion and when to replace without an inspector physically looking at the abrasion on the wet plate using machine vision, a cutting-edge technology. This paper covers the cause of deteriorating reliability that affects pantograph wet plate edge detection doe to noise added to the video when it rains. In order to remove such noise, problems should be checked through Smoothing, Averaging mask and Median filter using filtering technique and stable edge detection without being affected by noise should be induced in video measurement used in machine vision technology.