대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

GGF Snake Algorithm을 위한 전처리 과정의 연구

A Study on Pr-Process for GGF Snake Algorithm

  • 조영빈 (연세대학교 전기전자공학과) ;
  • 윤성원 (연세대학교 전기전자공학과) ;
  • 강세구 (연세대학교 전기전자공학과) ;
  • 방남석 (연세대학교 전기전자공학과) ;
  • 민세동 (연세대학교 생체공학협동과정) ;
  • 장윤호 (연세대학교 전기전자공학과) ;
  • 이명호 (연세대학교 전기전자공학과)
  • Cho, Y.B. (Department of Electrical and Electronic Engineering, Yonsei University) ;
  • Yoon, S.W. (Department of Electrical and Electronic Engineering, Yonsei University) ;
  • Kang, S.G. (Department of Electrical and Electronic Engineering, Yonsei University) ;
  • Bang, N.S. (Department of Electrical and Electronic Engineering, Yonsei University) ;
  • Min, S.D. (Graduate Program Biomedical Engineering, Yonsei University) ;
  • Jang, Y.H. (Department of Electrical and Electronic Engineering, Yonsei University) ;
  • Lee, M.H. (Department of Electrical and Electronic Engineering, Yonsei University)
  • 발행 : 2003.07.21
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초록

Active contour models(called Snakes) are methods for the image segmentation. Many researchers have developed snake algorithms and then published such as GVF, GGF snake. In this paper, we present a pre-process for GGF snake algorithm. This process removes noise so that snakes can flow smoothly. In experiment, we compared a image removed noise with a image corrupted by noise. In result, the pre-process produced a good image for GGF Snake and is necessary.

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