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.

翻译：本文描述了一种针对树木完整横截面的年轮检测方法（CS-TRD）。该方法基于树木年轮对应边缘的检测、处理与连接。方法依赖于Canny-Devernay边缘检测器的参数（σ和两个阈值）、缩放因子、射线数量以及髓心位置。前五个参数默认固定，髓心位置可手动标注或通过自动髓心检测算法确定。除髓心定位外，CS-TRD方法实现全自动化，在UruDendro数据集（火炬松）上F分数达89%，平均执行时间17秒；在Kennel数据集（冷杉）上F分数达97%，平均执行时间11秒。