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직사각형 검사영역의 상관도 분석을 통한 수면위치 탐색 방법

A Novel Water Surface Detection Method Based on Correlation Analysis for Rectangular Control Area

  • 이찬주 (한국건설기술연구원 하천해안연구실) ;
  • 서명배 (한국건설기술연구원 ICT융합연구실) ;
  • 김동구 (한국건설기술연구원 하천해안연구실) ;
  • 권성일 (한국건설기술연구원 하천해안연구실)
  • Lee, Chan Joo (River and Coastal Research Division, Korea Institute of Construction Technology) ;
  • Seo, Myoung Bae (ICT Convergence and Integration Research Division, Korea Institute of Construction Technology) ;
  • Kim, Dong Gu (River and Coastal Research Division, Korea Institute of Construction Technology) ;
  • Kwon, Sung Il (River and Coastal Research Division, Korea Institute of Construction Technology)
  • 투고 : 2012.06.12
  • 심사 : 2012.08.17
  • 발행 : 2012.12.31

초록

본 연구에서는 목자판과 수면이 포함되어 있는 시차를 가진 두 영상에 대해 직사각형 검사영역을 설정하고 그 상관계수를 분석하여 수면을 판단하는 새로운 수면인식 기법을 제안하였다. 상관계수의 수직적인 값들로부터 임계치, 첨두값, 기울기, 분산비 등 4가지 방법을 이용하여 수면의 위치를 판정하였다. 흔들림 등으로 인해 두 영상의 위치가 불일치하여 생기는 문제를 제거하기 위해 추가로 영상의 흔들림을 보정하는 알고리즘과 통계적 필터링 기법을 적용하였다. 저수시에 촬영한 28개 지점의 영상에 개발한 수면 인식 방법을 적용하였다. 이 방법으로 계산한 수면은 목측 수면과의 평균상대오차가 3.4~5.7 cm 정도로 나타났다. 수면의 요동이 있을 경우, 이 방법은 기존 방법을 보완하여 영상수위계의 수위 측정성능을 높이는데 활용될 수 있을 것이다.

In this study, a novel water surface detection method was proposed. In the method water surface is detected by analysis on correlation coefficients obtained from rectangular control areas of the same vertical position in two successive images including both water surface and staff gauge. Four methods respectively based on threshold, peak, slope and variance ratio, are used to identify water surface from vertical distribution of correlation coefficient. In addition, swaying correction algorithm and statistical filtering are applied to minimize outliers caused by positional image mismatch. Images taken from 28 different sites during low flow were tested to evaluate the method. Mean relative error to eye measurement was approximately from 3.4 to 5.7 cm. As long as water surface moves, this method can be used to improve image stage gauge by supplementing the previous water surface detection method.

키워드

참고문헌

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피인용 문헌

  1. Measuring Inundation Depth in a Subway Station Using the Laser Image Analysis Method vol.10, pp.11, 2018, https://doi.org/10.3390/w10111558