activity
20242026
most citedUruDendro4: A Benchmark Dataset for Automatic Tree-Ring Detection in Cross-Section Images of Pinus taeda L

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2026

TRAS: An Interactive Software for Tracing Tree Ring Cross Sections

Henry Marichal, Diego Passarella, Gregory Randall

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…

cs.CV2026

Implementation and discussion of the Pith Estimation on Rough Log End Images using Local Fourier Spectrum Analysis method

Henry Marichal, Diego Passarella, Gregory Randall

In this article, we analyze and propose a Python implementation of the method "Pith Estimation on Rough Log End images using Local Fourier Spectrum Analysis", by Rudolf Schraml and…

cs.CV20251 cited

UruDendro4: A Benchmark Dataset for Automatic Tree-Ring Detection in Cross-Section Images of Pinus taeda L

Henry Marichal, Joaquin Blanco, Diego Passarella +1

Tree-ring growth represents the annual wood increment for a tree, and quantifying it allows researchers to assess which silvicultural practices are best suited for each species. Ma…

cs.CV2025

DeepCS-TRD, a Deep Learning-based Cross-Section Tree Ring Detector

Henry Marichal, Verónica Casaravilla, Candice Power +6

Here, we propose Deep CS-TRD, a new automatic algorithm for detecting tree rings in whole cross-sections. It substitutes the edge detection step of CS-TRD by a deep-learning-based…

cs.CV2024

UruDendro, a public dataset of cross-section images of Pinus taeda

Henry Marichal, Diego Passarella, Christine Lucas +5

The automatic detection of tree-ring boundaries and other anatomical features using image analysis has progressed substantially over the past decade with advances in machine learni…

cs.CV2024

Automatic Wood Pith Detector: Local Orientation Estimation and Robust Accumulation

Henry Marichal, Diego Passarella, Gregory Randall

A fully automated technique for wood pith detection (APD), relying on the concentric shape of the structure of wood ring slices, is introduced. The method estimates the ring's loca…