Boundary Approach to Characterize the Inner and Outer Approximation of the Image of a Disk

Calculating directly the inner and outer approximation of the image of a set by a function can be challenging. Then, it is sometimes preferred to compute the image of the boundary of the set instead. However, boundary-based methods are subject to the apparition of fake boundaries in the image set. These fake boundaries add pessimism when characterizing the inner approximation of the image set. This paper then introduces the notion of Box Chains to simplify the detection and the suppression of the fake boundaries. The characterization of the inner and outer approximation of the image set in the case of a function from the unit disk D to R2 will be considered, with two examples.

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Publication Details

Journal
Acta Cybernetica
Published
2025-12-19
DOI
https://doi.org/10.14232/actacyb.314985
Primary Topic
Medical Image Segmentation Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Boundary Approach to Characterize the Inner and Outer Approximation of the Image of a Disk

Damien Massé, Maël Godard, Luc Jaulin
Acta Cybernetica
Medical Image Segmentation Techniques
article

Boundary Approach to Characterize the Inner and Outer Approximation of the Image of a Disk

Damien Massé, Maël Godard, Luc Jaulin
article en

Abstract

Calculating directly the inner and outer approximation of the image of a set by a function can be challenging. Then, it is sometimes preferred to compute the image of the boundary of the set instead. However, boundary-based methods are subject to the apparition of fake boundaries in the image set. These fake boundaries add pessimism when characterizing the inner approximation of the image set. This paper then introduces the notion of Box Chains to simplify the detection and the suppression of the fake boundaries. The characterization of the inner and outer approximation of the image set in the case of a function from the unit disk D to R2 will be considered, with two examples.

Acta Cybernetica
Université de Bretagne Occidentale (FR), École nationale supérieure de techniques avancées Bretagne (FR)
Région Bretagne
Reduced inequalities
Openalex Percentile: Top 37%
Medical Image Segmentation Techniques
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