Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation

Yibao Li, Sungha Yoon, Jian Wang, Jintae Park, Sangkwon Kim, Chaeyoung Lee, Hyundong Kim, Junseok Kim

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Article number2414209
JournalMathematical Problems in Engineering
Volume2021
DOIs
Publication statusPublished - 2021

ASJC Scopus subject areas

  • Mathematics(all)
  • Engineering(all)

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