Selection of Regularization Parameter in the Ambrosio-Tortorelli Approximation of the Mumford-Shah Functional for Image Segmentation

DOI10.4208/NMTMA.OA-2017-0074zbMath1424.94029arXiv1706.06459WikidataQ128351494 ScholiaQ128351494MaRDI QIDQ5382397

Weizhang Huang, Yufei Yu

Publication date: 21 June 2019

Published in: Numerical Mathematics: Theory, Methods and Applications (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1706.06459

zbMATH Keywords

finite element methodregularizationmesh adaptationphase-field modelmoving meshimage segmentation

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60) Mesh generation, refinement, and adaptive methods for the numerical solution of initial value and initial-boundary value problems involving PDEs (65M50)

This page was built for publication: Selection of Regularization Parameter in the Ambrosio-Tortorelli Approximation of the Mumford-Shah Functional for Image Segmentation