Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation

  • Li, Yibao; 
  • Yoon, Sungha; 
  • Wang, Jian; 
  • Park, Jintae; 
  • Kim, Sangkwon; 
  • ... Kim, Junseok; 
  • 외 2명
Citations

WEB OF SCIENCE

4
Citations

SCOPUS

7

초록

We present a simple numerical solution algorithm for a gradient flow for the Modica-Mortola functional and numerically investigate its dynamics. The proposed numerical algorithm involves both the operator splitting and the explicit Euler methods. A time step formula is derived from the stability analysis, and the goodness of fit of transition width is tested. We perform various numerical experiments to investigate the property of the gradient flow equation, to verify the characteristics of our method in the image segmentation application, and to analyze the effect of parameters. In particular, we propose an initialization process based on target objects. Furthermore, we conduct comparison tests in order to check the performance of our proposed method.

키워드

MODEL; EQUATIONS; LUNG
제목
Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation
저자
Li, Yibao; Yoon, Sungha; Wang, Jian; Park, Jintae; Kim, Sangkwon; Lee, Chaeyoung; Kim, Hyundong; Kim, Junseok
DOI
10.1155/2021/2414209
발행일
2021-11-20
유형
Article
저널명
Mathematical Problems in Engineering
권
2021