Comparison of Binary Images based on Jaccard Measure using Symmetry Information

Sofia Fedotova, Olesia Kushnir, Oleg Seredin

2020

Abstract

Method of comparing binary raster images using information about the axes of symmetry of the shapes is proposed, which will allow to take into account the translation, rotation and scaling of a pair of images. The symmetry axis of the figure is searched by one of the previously developed methods: based on the skeleton representation of the figure (Kushnir et al., 2016), the adjustment of the skeleton axis or exhaustive search (Kushnir et al., 2019). Jaccard measure is used as a measure of similarity. Three comparison algorithms were developed. The paper demonstrates that using information about the symmetry of the shapes with simple principle of comparison as the Jaccard measure allows to obtain significant results. The possibility of using this approach for image classification is also investigated. The algorithms were experimentally studied on the “Flavia” and “Butterflies” datasets.

Paper Citation

in Harvard Style

Fedotova S., Kushnir O. and Seredin O. (2020). Comparison of Binary Images based on Jaccard Measure using Symmetry Information. 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 398-404. DOI: 10.5220/0008989803980404

in Bibtex Style

@conference{visapp20,
author={Sofia Fedotova and Olesia Kushnir and Oleg Seredin},
title={Comparison of Binary Images based on Jaccard Measure using Symmetry Information},
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={398-404},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008989803980404},
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 - Comparison of Binary Images based on Jaccard Measure using Symmetry Information
SN - 978-989-758-402-2
AU - Fedotova S.
AU - Kushnir O.
AU - Seredin O.
PY - 2020
SP - 398
EP - 404
DO - 10.5220/0008989803980404
PB - SciTePress