9 de noviembre de 2023
Melo
America/Montevideo zona horaria

CS-TRD: a Cross Sections Tree Ring Detection method

No programado
15m
Casa de la Universidad de Cerro Largo (Melo)

Casa de la Universidad de Cerro Largo

Melo

Dr. Luis Alberto de Herrera 639, Melo
Ponencias Orales Mesa Ciencia y Tecnología

Ponente

Dr. Diego Passarella (Sede Tacuarembó, CENUR Noreste, Universidad de la República)

Descripción

This work describes a Tree Ring Detection method for complete Cross-Sections of trees (CS-TRD). The method is based on the detection, processing, and connection of edges corresponding to the tree’s growth rings. The method depends on the parameters for the Canny Devernay edge detector (σ and two thresholds), a resize factor, the number of rays, and the pith location. The first five parameters are fixed by default. The pith location can be marked manually or using an automatic pith detection algorithm. Besides the pith localization, the CS-TRD method is fully automated and achieves an F-Score of 89% in the UruDendro dataset (of Pinus Taeda) with a mean execution time of 17 seconds and of 97% in the Kennel dataset (of Abies Alba) with an average execution time 11 seconds.

Autores primarios

Dr. Diego Passarella (Sede Tacuarembó, CENUR Noreste, Universidad de la República) Dr. Gregory Randall (Instituto de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de la República) Sr. Henry Marichal (Instituto de Ingeniería Eléctrica, Facultad de Ingeniería, Universidad de la República)

Materiales de la presentación