CS-TRD: a Cross Sections Tree Ring Detection method
Henry Marichal Diego Passarella Gregory Randall
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 ($\sigma$ 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.