CS-TRD: a Cross Sections Tree Ring Detection method

Henry Marichal, Diego Passarella, Gregory Randall
5/18/2023
cs.CVq-bio.PE

No official code found. Best implementation: hmarichal93/cstrd (5 stars, MIT, last commit 2026-01-05).

Abstract

This work describes a Tree Ring Detection method for complete Cross-Sections of Trees (CS-TRD) that detects, processes and connects edges corresponding to the tree's growth rings. The method depends on the parameters for the Canny Devernay edge detector (sigma), a resize factor, the number of rays, and the pith location. The first five are fixed by default. The pith location can be marked manually or using an automatic pith detection algorithm. Besides the pith localization, CS-TRD is fully automated and achieves an F-Score of 89% in the UruDendro dataset (of Pinus taeda) and 97% in the Kennel dataset (of Abies alba) without specialized hardware requirements.

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Code Implementations(1)

hmarichal93/cstrdCommunity100%
MIT

[IPOL 2025] Cross-Section Tree Ring Delineation method for conifers

52C, ShellDec 22, 20229 months agoMIT
coniferous-foreststree-ring-detectionwood-cross-section-images

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Cite this paper

@article{marichal2023cstrd,
  title  = {CS-TRD: a Cross Sections Tree Ring Detection method},
  author = {Henry Marichal and Diego Passarella and Gregory Randall},
  year   = {2023},
  eprint = {2305.10809},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2305.10809v2}
}

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