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We propose and analyze a finite-difference discretization of the Ambrosio-Tortorelli functional. It is known that if the discretization is made with respect to an underlying periodic lattice of spacing $\delta$, the discretized functionals…

Analysis of PDEs · Mathematics 2021-03-22 Annika Bach , Marco Cicalese , Matthias Ruf

This paper is devoted to show a discrete adaptive finite element approximation result for the isotropic two-dimensional Griffith energy arising in fracture mechanics. The problem is addressed in the geometric measure theoretic framework of…

Numerical Analysis · Mathematics 2023-06-16 Jean-François Babadjian , Élise Bonhomme

Given an image $u_0$, the aim of minimising the Mumford-Shah functional is to find a decomposition of the image domain into sub-domains and a piecewise smooth approximation $u$ of $u_0$ such that $u$ varies smoothly within each sub-domain.…

Optimization and Control · Mathematics 2023-09-06 Irene Fonseca , Lisa Maria Kreusser , Carola-Bibiane Schönlieb , Matthew Thorpe

In this paper we introduce a new phase field approximation of the Mumford-Shah functional similar to the well-known one from Ambrosio and Tortorelli. However, in our setting the phase field is allowed to be a function of bounded variation,…

Analysis of PDEs · Mathematics 2021-09-27 Sandro Belz , Kristian Bredies

In this paper, we present a method for the numerical minimization of the Mumford-Shah functional that is based on the idea of topological asymptotic expansions. The basic idea is to cover the expected edge set with balls of radius \epsilon…

Optimization and Control · Mathematics 2013-06-12 Markus Grasmair , Monika Muszkieta , Otmar Scherzer

The Mumford-Shah functional approximates a function by a piecewise smooth function. Its versatility makes it ideal for tasks such as image segmentation or restoration, and it is now a widespread tool of image processing. Recent work has…

Graphics · Computer Science 2018-09-05 Nicolas Bonneel , David Coeurjolly , Pierre Gueth , Jacques-Olivier Lachaud

We study stochastic homogenisation of free-discontinuity surface functionals defined on piecewise rigid functions which arise in the study of fracture in brittle materials. In particular, under standard assumptions on the density, we show…

Analysis of PDEs · Mathematics 2023-12-20 Antonio Flavio Donnarumma , Manuel Friedrich

Using lattice approximations of Euclidean space, we develop a way to approximate stable processes that are represented by stochastic integrals over Euclidean space. Via a stable version of the Lindeberg-Feller Theorem we show that the…

Probability · Mathematics 2013-02-19 Clément Dombry , Paul Jung

We prove the $\Gamma$-convergence of sequences of differentially constrained, random integral functionals of the form \begin{equation*} \int_{U} f\Big(\omega, x/\varepsilon, \mathbb{A} u\Big) \mathrm{d} x \end{equation*} for the class of…

Analysis of PDEs · Mathematics 2023-08-08 Piotr Wozniak

This is the first in a series of articles about recovering the full algebraic structure of a boundary conformal field theory (CFT) from the scaling limit of the critical Ising model in slit-strip geometry. Here, we introduce spaces of…

Mathematical Physics · Physics 2021-11-22 Taha Ameen , Kalle Kytölä , S. C. Park , David Radnell

The Ambrosio-Tortorelli functional is a phase-field approximation of the Mumford-Shah functional that has been widely used for image segmentation. The approximation has the advantages of being easy to implement, maintaining the segmentation…

Numerical Analysis · Mathematics 2020-04-20 Yufei Yu , Weizhang Huang

In contemporary image and vision analysis, stochastic approaches demonstrate great flexibility in representing and modeling complex phenomena, while variational-PDE methods gain enormous computational advantages over Monte-Carlo or other…

Optimization and Control · Mathematics 2007-05-23 Jianhong Shen

Motivated by applications to image reconstruction, in this paper we analyse a \emph{finite-difference discretisation} of the Ambrosio-Tortorelli functional. Denoted by $\varepsilon$ the elliptic-approximation parameter and by $\delta$ the…

Analysis of PDEs · Mathematics 2018-07-17 Annika Bach , Andrea Braides , Caterina Ida Zeppieri

Recent advances in the study of conformally invariant discrete random processes have lead to increasing interest in the study of discrete analogues to holomorphic functions. Of particular interest are results which provide conditions under…

Complex Variables · Mathematics 2015-11-05 Brent M. Werness

The Ambrosio-Tortorelli approximation scheme with weighted underlying metric is investigated. It is shown that it {\Gamma}-converges to a Mumford-Shah image segmentation functional depending on the weight $\omega dx$, where $\omega\in…

Analysis of PDEs · Mathematics 2016-08-15 Irene Fonseca , Pan Liu

In this work, we demonstrate that a functional modeling the self-aggregation of stochastically distributed lipid molecules can be obtained as the $\Gamma$-limit of a family of discrete energies driven by a sequence of independent and…

Probability · Mathematics 2023-05-11 Luca Lussardi , Anderson Melchor Hernandez , Marco Morandotti

We consider in 2D the following special case of the Mumford-Shah functional $$ J(u, \Gamma)=\int_{B_1\backslash\Gamma} |\nabla u|^2 dx + \lambda^2 \frac{\pi}{2} \mathcal{H}^1(\Gamma). $$ It is known that if the minimizer has a crack-tip in…

Analysis of PDEs · Mathematics 2020-12-16 John Andersson , Hayk Mikayelyan

We analyze a finite-difference approximation of a functional of Ambrosio-Tortorelli type in brittle fracture, in the discrete-to-continuum limit. In a suitable regime between the competing scales, namely if the discretization step $\delta$…

Analysis of PDEs · Mathematics 2020-07-31 Vito Crismale , Giovanni Scilla , Francesco Solombrino

The paper deals with variational approaches to the segmentation of time series into smooth pieces, but allowing for sharp breaks. In discrete time, the corresponding functionals are of Blake-Zisserman type. Their natural counterpart in…

Functional Analysis · Mathematics 2007-05-23 Angela Kempe , Volkmar Liebscher , Gerhard Winkler , Olaf Wittich

We derive Stein approximation bounds for functionals of uniform random variables, using chaos expansions and the Clark-Ocone representation formula combined with derivation and finite difference operators. This approach covers sums and…

Probability · Mathematics 2018-02-28 Nicolas Privault , Grzegorz Serafin
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