Identification of Planarian Individuals by Spot Patterns in Texture

Nikita Lomov, Kharlampiy Tiras, Kharlampiy Tiras, Leonid Mestetskiy, Leonid Mestetskiy

2022

Abstract

Planarian flatworms are known for their abilities to regenerate and are a popular biological model. Identification of individual planarian individuals is useful for automating biological research and improving the accuracy of measurements in experiments. The article proposes a method for identifying planaria by their texture profile, characterized by a set, shape, and position of light spots on the worm’s body— areas without pigment. To make the comparison of planaria of different sizes and in different poses, the method of planarian texture normalization is suggested. It is based on the selection of a main branch in the skeleton of a segmented image and allows one to switch to a unified coordinate system. Also, a method for creating a generalized textural profile of a planarian, based on averaging sets of spots for multiple images, is proposed. Experiments were carried out to identify planaria for different types of observations—during one day, during several days and during several days of regeneration after decapitation. Experiments show that light spots are a temporally stable phenotypic trait.

Paper Citation

in Bibtex Style

@conference{visapp22,
author={Nikita Lomov and Kharlampiy Tiras and Leonid Mestetskiy},
title={Identification of Planarian Individuals by Spot Patterns in Texture},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP},
year={2022},
pages={87-96},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010802000003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP
TI - Identification of Planarian Individuals by Spot Patterns in Texture
SN - 978-989-758-555-5
AU - Lomov N.
AU - Tiras K.
AU - Mestetskiy L.
PY - 2022
SP - 87
EP - 96
DO - 10.5220/0010802000003124
PB - SciTePress

in Harvard Style

Lomov N., Tiras K. and Mestetskiy L. (2022). Identification of Planarian Individuals by Spot Patterns in Texture. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP; ISBN 978-989-758-555-5, SciTePress, pages 87-96. DOI: 10.5220/0010802000003124