한국정보기술학회 영문논문지 (Journal of Advanced Information Technology and Convergence)

  • 제8권2호
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  • Pages.89-99
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  • 2018
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  • 2234-1072(pISSN)
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  • 2234-0963(eISSN)
한국정보기술학회 (Korean Institute of Information Technology)
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Interactive Region Segmentation Method Using Agglomerative Clustering

  • Park, Sanghyun (Dept. of Multimedia Engineering, Sunchon National University)
  • 투고 : 2018.11.25
  • 심사 : 2018.12.26
  • 발행 : 2018.12.31
⟨ 이전 논문 다음 논문 ⟩

초록

Due to global warming, various natural disasters such as floods and droughts are increasing. If we can detect the possibility of natural disasters in advance, we can prevent massive damages caused by natural disasters. Recent advances in visual sensor technologies have enabled remote monitoring of a variety of natural environments, including lakes, rivers, and shores. In this paper, we propose a method to segment an image obtained from video sensor networks into regions in order to monitor the environment effectively. In the proposed method, we first partition the image into superpixels and model the connections between superpixels as a graph. Then, initial seeds for each region are set by using the prior information, and the initial seeds are expanded to form regions using agglomerative clustering. Experimental results show that the proposed method extracts the regions from natural environment images easily and accurately.

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참고문헌

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