Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Active Contour Based Edge Detection Using Evolutionary Computation

진화 연산을 이용한 능동외곽기반의 윤곽선검출에 관한 연구

  • Kang, Hyeon-Tae (Department of Electrical Engineering, Pusan National University) ;
  • Cho, Deok-Hwan (Department of Electrical Engineering, Pusan National University) ;
  • Hwang, Gi-Hyun (Research Institute of Computer, Information and Communication at Pusan National University) ;
  • Mun, Kyeong-Jun (Department of Electrical Engineering, Pusan National University) ;
  • Park, June-Ho (Department of Electrical Engineering, Pusan National University) ;
  • Lee, Hwa-Seok (Department of Electrical Engineering, Koje College)
  • 강현태 (부산대학교 전기공학과) ;
  • 조덕환 (부산대학교 전기공학과) ;
  • 황기현 (부산대학교 컴퓨터 및 정보통신연구소) ;
  • 문경준 (부산대학교 전기공학과) ;
  • 박준호 (부산대학교 전기공학과) ;
  • 이화석 (거제대학 전기과)
  • Published : 2001.07.18
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Abstract

In this paper, we apply and evolutionary computation(EC), probabilistic optimization algorithm, to active contour. A number of problems exist associated with such as algorithm initialization, existence of local minima, non-convex search space, and the selection of model parameters in conventional models. We propose an adequate fitness function for these problems. The determination of fitness function adequate to active contour using EC is important in search capability. As a result of applying the proposed method to non-convex object shape, we improve the unstability and contraction phenomena, in nature, of snake generated in deformable contour optimization.

Keywords