论文标题
使用雅各比集的自动树环检测
Automatic Tree Ring Detection using Jacobi Sets
论文作者
论文摘要
树环宽度是气候和历史数据的重要来源，但是测量这些宽度通常需要大量的手动工作。计算机视觉技术为树环检测自动化提供了有希望的方向，但是大多数自动化方法仍然需要大量的用户互动才能获得高精度。我们对树干的横截面的3D X射线CT图像进行分析，称为树盘。我们提出了新的自动化方法，用于定位树盘的髓（中心）和环边界。我们的方法结合了拓扑数据分析的标准图像处理技术和工具。我们通过将其结果与手动定位的环和中心进行比较，评估了我们方法对两种不同CT扫描的功效，并证明它在正确计数每个环及其位置方面比当前的自动方法更好。我们的方法具有多个参数，我们通过最大程度地限制对手动获得的位置的编辑距离来实验优化。
Tree ring widths are an important source of climatic and historical data, but measuring these widths typically requires extensive manual work. Computer vision techniques provide promising directions towards the automation of tree ring detection, but most automated methods still require a substantial amount of user interaction to obtain high accuracy. We perform analysis on 3D X-ray CT images of a cross-section of a tree trunk, known as a tree disk. We present novel automated methods for locating the pith (center) of a tree disk, and ring boundaries. Our methods use a combination of standard image processing techniques and tools from topological data analysis. We evaluate the efficacy of our method for two different CT scans by comparing its results to manually located rings and centers and show that it is better than current automatic methods in terms of correctly counting each ring and its location. Our methods have several parameters, which we optimize experimentally by minimizing edit distances to the manually obtained locations.
