[IPOL announce] new article: CS-TRD: a Cross-Section Tree Ring Detection Method

[announcements about the IPOL journal]

A new article is available in IPOL: https://www.ipol.im/pub/art/2025/485/

Henry Marichal, Diego Passarella, and Gregory Randall,
CS-TRD: a Cross-Section Tree Ring Detection Method, Image Processing On 
Line, 15 (2025), pp. 78–107.
https://doi.org/10.5201/ipol.2025.485


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 relies on 
edge detection, and its parameters are set to default values and can be 
adjusted as needed. The only required input is the location of the 
biological center of the tree, the pith, which can be marked manually or 
using an automatic detection algorithm. CS-TRD achieves an F-Score of 
91% in the UruDendro dataset (of Pinus taeda) and 97% in the Kennel 
dataset (of Abies alba) without specialized hardware requirements.