Fast and Efficient Numerical Finite Difference Method for Multiphase Image Segmentation

Author:

Li Yibao1,Yoon Sungha2,Wang Jian3,Park Jintae2,Kim Sangkwon2,Lee Chaeyoung2,Kim Hyundong2,Kim Junseok2ORCID

Affiliation:

1. School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an 710049, China

2. Department of Mathematics, Korea University, Seoul 02841, Republic of Korea

3. School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing 210044, China

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.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

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