A Phase Field Model for Image Decomposition and Smoothing

In this paper we propose a new phase field model for image decomposition and smoothing based on a modification of the Cahn-Hilliard equation. The Cahn-Hilliard equation was first formulated as the minimization of a free energy that reflects the topological events, phase coarsening and separation processes. We replaced the energy density in this equation with the derivative of a new convex energy which allows only the decomposition of phase values into multiple layers. This system, although based on a variational formulation does not require the solution of an optimization problem and its main advantage is the flexibility it provides in designing decomposition algorithms. Within this framework, we developed several algorithms based on order statistics for image smoothing and decomposition.

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Publication Details

Journal
Balkan Journal of Electrical and Computer Engineering
Published
2026-09-16
DOI
https://doi.org/10.17694/bajece.1668312
Primary Topic
Solidification and crystal growth phenomena
Type
article
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article

A Phase Field Model for Image Decomposition and Smoothing

Acar Ruyam
Balkan Journal of Electrical and Computer Engineering
Solidification and crystal growth phenomena
article

A Phase Field Model for Image Decomposition and Smoothing

Acar Ruyam
article en

Abstract

In this paper we propose a new phase field model for image decomposition and smoothing based on a modification of the Cahn-Hilliard equation. The Cahn-Hilliard equation was first formulated as the minimization of a free energy that reflects the topological events, phase coarsening and separation processes. We replaced the energy density in this equation with the derivative of a new convex energy which allows only the decomposition of phase values into multiple layers. This system, although based on a variational formulation does not require the solution of an optimization problem and its main advantage is the flexibility it provides in designing decomposition algorithms. Within this framework, we developed several algorithms based on order statistics for image smoothing and decomposition.

Balkan Journal of Electrical and Computer EngineeringVol. 14
Affordable and clean energy
Openalex Percentile: Top 24%
Solidification and crystal growth phenomena
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