期刊文献+

Two-Phase Image Segmentation by the Allen-Cahn Equation and a Nonlocal Edge Detection Operator

原文传递
导出
摘要 Based on a nonlocal Laplacian operator,a novel edge detection method of the grayscale image is proposed in this paper.This operator utilizes the information of neighbor pixels for a given pixel to obtain effective and delicate edge detection.The nonlocal edge detection method is used as an initialization for solving the Allen-Cahn equation to achieve two-phase segmentation of the grayscale image.Efficient exponential time differencing(ETD)solvers are employed in the time integration,and finite difference method is adopted in space discretization.The maximum bound principle and energy stability of the proposed numerical schemes are proved.The capability of our segmentation method has been verified in numerical experiments for different types of grayscale images.
出处 《Numerical Mathematics(Theory,Methods and Applications)》 SCIE CSCD 2022年第4期1147-1172,共26页 高等学校计算数学学报(英文版)
基金 supported by the CAS AMSS-PolyU Joint Laboratory of Applied Mathematics.Z.Qiao’s work is partially supported by the Hong Kong Research Grant Council RFS grant RFS2021-5S03 GRF grants 15300417,15302919 Q.Zhang’s research is supported by the 2019 Hong Kong Scholar Program G-YZ2Y.
  • 相关文献

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部