English

Colour image segmentation by the vector-valued Allen-Cahn phase-field model: a multigrid solution

Computer Vision and Pattern Recognition 2018-06-08 v1 Numerical Analysis

Abstract

We propose a new method for the numerical solution of a PDE-driven model for colour image segmentation and give numerical examples of the results. The method combines the vector-valued Allen-Cahn phase field equation with initial data fitting terms. This method is known to be closely related to the Mumford-Shah problem and the level set segmentation by Chan and Vese. Our numerical solution is performed using a multigrid splitting of a finite element space, thereby producing an efficient and robust method for the segmentation of large images.

Cite

@article{arxiv.0710.0736,
  title  = {Colour image segmentation by the vector-valued Allen-Cahn phase-field model: a multigrid solution},
  author = {David A Kay and Alessandro Tomasi},
  journal= {arXiv preprint arXiv:0710.0736},
  year   = {2018}
}

Comments

17 pages, 9 figures

R2 v1 2026-06-21T09:25:54.563Z