한국멀티미디어학회논문지 (Journal of Korea Multimedia Society)

  • 제21권12호
  • /
  • Pages.1431-1438
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  • 2018
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  • 1229-7771(pISSN)
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  • 2384-0102(eISSN)
한국멀티미디어학회 (Korea Multimedia Society)
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Water Level Tracking System based on Morphology and Template Matching

  • Ansari, Israfil (Department of Computer Eng., Andong National University) ;
  • Jeong, Yunju (School of Computer Science and Eng., Kyungpook National University) ;
  • Lee, Yeunghak (Department of Computer Eng., Andong National University) ;
  • Shim, Jaechang (Department of Computer Eng., Andong National University)
  • 투고 : 2018.08.01
  • 심사 : 2018.11.26
  • 발행 : 2018.12.31
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초록

In this paper, we proposed a river water level detection and tracking of the river or dams based on image processing system. In past, most of the water level detection system used various water sensors. Those water sensors works perfectly but have many drawbacks such as high cost and harsh weather. Water level monitoring system helps in forecasting early river disasters and maintenance of the water body area. However, the early river disaster warning system introduces many conflicting requirements. Surveillance camera based water level detection system depends on either the area of interest from the water body or on optical flow algorithm. This proposed system is focused on water scaling area of a river or dam to detect water level. After the detection of scale area from water body, the proposed algorithm will immediately focus on the digits available on that area. Using the numbers on the scale, water level of the river is predicted. This proposed system is successfully tested on different water bodies to detect the water level area and predicted the water level.

키워드

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Fig. 1. Block diagram of proposed system.

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Fig. 2. Simulation environment for Image processing.

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Fig. 4. Dilation operation of input frame. (a) Frame received from surveillance camera. (b) The result after erosion operation on received frame. (c) The result of dilation operation.

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Fig. 3. Image processing on video frame. (a) Frame received from surveillance camera. (b) Edge detection or received frame.

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Fig. 5. Water level area detection, (a) water level area of andong dam, (b) water level area on nakdong river, (c)random area water scale.

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Fig. 6. Template matching and localization.

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Fig. 7. Marked water level area on water scale.

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Fig. 8. Water level detection. (a) Virtual scale drawn according to water scale format. (b) The scale check with the water level line and display the current level.

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Fig. 9. Water level detection of western power plant taean.

참고문헌

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