ArXiv TLDR

TRAS: An Interactive Software for Tracing Tree Ring Cross Sections

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2605.08025

Henry Marichal, Diego Passarella, Gregory Randall

cs.CV

TLDR

TRAS is an open-source software that automates tree ring detection and measurement, significantly reducing manual effort for dendrochronology.

Key contributions

  • Introduces TRAS, an open-source software for automatic tree ring delineation, manual correction, and measurement.
  • Integrates classical (CS-TRD) and deep learning (DeepCS-TRD, INBD) algorithms for robust detection.
  • Achieves 81.0% F-score with DeepCS-TRD, reducing manual correction effort to only 20% of ring boundaries.
  • Provides an interactive interface for refining detections and computing key dendrochronological metrics.

Why it matters

TRAS automates tree ring analysis, providing an open-source solution to overcome manual method limitations. It significantly boosts efficiency and reproducibility in dendrochronology, streamlining large-scale studies.

Original Abstract

Tree ring marking remains a key step in dendrometry and dendrochronology, but it is often performed manually, making the process time-consuming, subjective, and difficult to scale to large image datasets. We present the Tree Ring Analyzer Suite (TRAS), an open-source graphical software for automatic delineation, manual correction, and measurement of tree rings in wood cross-sectional images. TRAS integrates three complementary detection algorithms: the classical image-processing method CS-TRD and two deep-learning approaches, DeepCS-TRD and INBD. The interface allows users to refine automatic detections, remove false positives, and manually add missing rings. It also computes dendrochronological metrics such as earlywood and latewood areas, ring perimeter, equivalent ring width, and custom path-based ring-width measurements. TRAS was evaluated on 18 expertly annotated Pinus taeda L. cross-section images. DeepCS-TRD achieved the best automatic detection performance, with an F-score of 81.0% and precision of 86.4%. Automatic detection reduced the required manual correction effort to approximately 20% of ring boundaries. For one-dimensional ring-width measurements, TRAS showed excellent agreement with CooRecorder ($r > 0.99$). Common detection errors, such as jump propagation or false positives near knots, were easily corrected through the postprocessing interface. TRAS provides a flexible and reproducible solution for tree-ring analysis on Windows, macOS, and Linux. Code is available at the https://hmarichal93.github.io/tras.

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