The Journal of the Korea institute of electronic communication sciences (한국전자통신학회논문지)

Korea Institute of Electronic Communication Science (한국전자통신학회)
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Color Analysis and Binarization of River Image for River Surveillance

하천 감시를 위한 하천 영상의 색상 분석 및 이진화 방법

  • 박상현 (순천대학교 멀티미디어공학과)
  • Received : 2017.09.08
  • Accepted : 2018.02.15
  • Published : 2018.02.28
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Abstract

Due to global warming, various natural disasters such as floods and localized heavy rains are increasing. If a natural disaster can be detected and analyzed in advance and effectively, it can prevent enormous damage due to natural disasters. Recent development in visual sensor technologies has encouraged various studies on monitoring environments including rivers. In this paper, we propose a method to detect river regions from river images which can be exploited for river surveillance systems using video sensor networks. In the proposed method, we first analyze the color properties of the river region and the background region of a image and then propose a way to select the proper color channel and binarize the image to detect the river region. It is shown by experimental results that the proposed method is simple but detects river regions accurately.

지구 온난화로 인해 홍수나 집중 호우와 같은 자연 재해들이 증가하고 있다. 이러한 자연 재해들이 미리 그리고 효과적으로 인지될 수 있다면 재해로 인한 많은 피해들을 미리 막을 수 있을 것이다. 최근 비쥬얼 센서 기술의 발전을 바탕으로 재해를 예방하기 위해 하천을 포함한 다양한 자연환경을 감시하는데 비쥬얼 센서 기술을 적용하는 연구들이 많이 진행되고 있다. 이 논문에서는 비쥬얼 센서 네트워크 기술을 이용한 하천 감시 시스템에 적용 가능한 강물 영상에서 강물 영역을 분할하는 방법을 제안한다. 제안하는 방법에서는 먼저 강물 영역과 배경 영역의 색상에 대한 분석을 하고 그 결과를 바탕으로 영상 분할에 가장 효과적인 색상 채널을 선택하고 이진화를 통해 강물영역을 검출한다. 실험 결과는 제안하는 방법이 간단하면서도 정확하게 강물 영상에서 강물 영역을 분리하는 것을 보여준다.

Keywords

References

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