Directional Filter for Tree Ring Detection
Rémi Decelle, Phuc Ngo, Isabelle Debled-Rennesson, Frédéric Mothe, Fleur Longuetaud
2024
Abstract
This paper presents an approach to automatically detect tree rings and subsequent measurement of annual ring widths in untreated cross-section images. This approach aims to offer additional insights on wood quality. It is composed of two parts. The first one is to detect tree rings by using directional filters together with an adaptive refining process allowing to extract the rings from radial information for different angles around the tree pith. The second step consists in building a confidence map by considering polar quad-tree decomposition which enables us to identify the relevant regions of image for conducting the tree ring width measurements.The method is evaluated on two public datasets, demonstrating good performance in both detection and measurement. The source code is available at https://gitlab.com/Ryukhaan/treetrace/-/tree/master/treerings.
DownloadPaper Citation
in Harvard Style
Decelle R., Ngo P., Debled-Rennesson I., Mothe F. and Longuetaud F. (2024). Directional Filter for Tree Ring Detection. In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-758-684-2, SciTePress, pages 852-859. DOI: 10.5220/0012457000003654
in Bibtex Style
@conference{icpram24,
author={Rémi Decelle and Phuc Ngo and Isabelle Debled-Rennesson and Frédéric Mothe and Fleur Longuetaud},
title={Directional Filter for Tree Ring Detection},
booktitle={Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2024},
pages={852-859},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012457000003654},
isbn={978-989-758-684-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - Directional Filter for Tree Ring Detection
SN - 978-989-758-684-2
AU - Decelle R.
AU - Ngo P.
AU - Debled-Rennesson I.
AU - Mothe F.
AU - Longuetaud F.
PY - 2024
SP - 852
EP - 859
DO - 10.5220/0012457000003654
PB - SciTePress