TL;DR
TRAS is an open-source software that automates and refines the detection and measurement of tree rings in cross-sectional images, improving efficiency and accuracy in dendrochronology.
Contribution
It introduces a multi-algorithm approach combining classical and deep learning methods for automatic tree ring detection with a user-friendly interface.
Findings
DeepCS-TRD achieved an F-score of 81.0% in detection.
Automatic detection reduced manual correction to about 20%.
Ring-width measurements showed over 0.99 correlation with manual methods.
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.…
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