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Authors: L. Mestetskiy and A. Zhuravskaya

Affiliation: Moscow State University, Moscow, Russia

Keyword(s): Mirror Symmetry, Measure of Symmetry, Fourier Descriptor, Contour Analysis.

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.

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Paper citation in several formats:
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; ISSN 2184-4321, SciTePress, pages 331-337. DOI: 10.5220/0008976003310337

@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},
issn={2184-4321},
}

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
IS - 2184-4321
AU - Mestetskiy, L.
AU - Zhuravskaya, A.
PY - 2020
SP - 331
EP - 337
DO - 10.5220/0008976003310337
PB - SciTePress