Mirror Symmetry Detection in Digital Images

L. Mestetskiy, A. Zhuravskaya

2020

Abstract

This article proposes an approach to the recognition of symmetrical objects in digital images, based on a quantitative asymmetry measure construction of such objects. The object asymmetry measure is determined through the Fourier descriptor of a discrete object boundary points sequence. A method has been developed for calculating the asymmetry measure and determining the most likely symmetry axis based on minimizing the asymmetry measure. The proposed solution using the Fourier descriptor has a quadratic complexity in the number of the object boundary points. A practical assessment of the efficiency and effectiveness of the algorithm is obtained by computational experiments with silhouettes of aircraft in remote sensing images.

Paper Citation

in Harvard Style

Mestetskiy L. and Zhuravskaya A. (2020). Mirror Symmetry Detection in Digital Images. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP; ISBN 978-989-758-402-2, SciTePress, pages 331-337. DOI: 10.5220/0008976003310337

in Bibtex Style

@conference{visapp20,
author={L. Mestetskiy and A. Zhuravskaya},
title={Mirror Symmetry Detection in Digital Images},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP},
year={2020},
pages={331-337},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008976003310337},
isbn={978-989-758-402-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 4: VISAPP
TI - Mirror Symmetry Detection in Digital Images
SN - 978-989-758-402-2
AU - Mestetskiy L.
AU - Zhuravskaya A.
PY - 2020
SP - 331
EP - 337
DO - 10.5220/0008976003310337
PB - SciTePress