Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Vision Based Position Detection System of Used Oil Filter using Line Laser

라인형 레이저를 이용한 비전기반 차량용 폐오일필터 검출 시스템

  • 웅성 (대구대학교 전자공학과) ;
  • 송은지 (대구대학교 전자공학과) ;
  • 최병재 (대구대학교 전자공학과)
  • Received : 2010.04.03
  • Accepted : 2010.05.22
  • Published : 2010.06.25
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Abstract

There are so many successful applications to image processing systems in industries. In this study we propose a position detection system for used oil filter by using a line laser. We have been done on the development of line laser as interaction devices. A camera captures images of a display surface of a used oil filter and then a laser beam location is extracted from the captured image. This image is processed and used as a cursor position. We also discuss an algorithm that can distinguish the front part and rear part. In particular we present a robust and efficient linear detection algorithm that allows us to use our system under a variety lighting conditions, and allows us to reduce the amount of image parsing required to find a laser position by an order of magnitude.

영상처리를 이용한 다양한 응용 예가 소개되고 있으며, 실제로 주차관리시스템을 포함하여 산업 현장에서 널리 활용되고 있다. 본 논문에서는 형상 인식을 위하여 레이저 빔을 활용한 예를 제시하고자 한다. 여기서는 차량에서 배출되는 폐오일 필터의 상, 하를 구분하기 위하여 라인형 레이저를 사용한 영상처리 시스템을 소개한다. 폐오일필터에 라인형 레이저를 조사하고, 그 영상을 카메라를 통해 획득한다. 획득된 영상은 폐오일필터의 상, 하를 구분할 수 있는 상태 정보를 가지고 있으며, 이 정보의 분석을 통하여 폐오일필터의 상, 하를 구분하도록 시스템을 구현한다. 본 시스템은 다양한 조명환경에서 폐오일필터의 상태를 정확히 확인할 수 있을 정도의 매우 높은 강인성을 가지게 되며, 영상처리를 위한 계산 양을 대폭 감소시켜준다. 실제 적용 예를 통하여 그 유용성을 제시한다.

Keywords

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