电动生长锥结合Python树木年轮信息提取研究

为快速精准获得树木年龄及年轮信息，研发了一种电动生长锥结合Python视觉库（PIL）进行年轮信息自动提取的方法。电动生长锥是在传统生长锥的基础上增加动力组，以电动力代替人力进行树木树芯获取，树芯经处理后使用扫描仪扫描得出的树芯图像，利用Python视觉库中的二值化、坐标信息提取方法对树芯年轮图像信息进行提取分析，根据每点之间的像素数，运用距离公式计算得出各年轮的宽度。该方法操作简单，成本低廉且精度较高，仅需使用电动生长锥配合扫描仪及电脑即可得出树木年轮信息，适用于不具备专业仪器环境的外业条件时树木树芯年轮进行快速测定。通过实验对电动生长锥适用性范围进行了分析，其电动生长锥取样与传统手动钻取相比，树芯状态无明显差异但时间节省一倍以上，利用Python脚本进行年轮信息提取与LinTab仪器相比，测量年轮宽度值未见明显差异，其Bisa%为023%，RMSE%为187%,满足年轮信息提取基本需求，且集成程度高，只需输入图片即可得到年轮信息。

Research on Extracting Tree Ring Information From Python by Electric Growth Cone

To obtain information on tree age and tree rings quickly and accurately, a method for the rapid determination of tree ring width and tree age was developed using the Python image library (PIL). In this method, the electric growth cone was added to the power group on the basis of the traditional growth cone. The tree core was obtained by replacing human force with electric power, and the core was scanned by scanner with the binary and coordinate information extraction method in PIL to extract and analyze the image information of the tree ring. According to the number of pixels between each point, the width of each ring was calculated using a distance formula. The reported method was simple, inexpensive and highly precise. Tree ring information was obtained by using only an electric growth cone scanner and a computer, which was suitable for the rapid determination of tree core annual rings in the absence of external conditions in a professional instrument environment. The applicability range of the electric growth cone was analyzed experimentally. The sampling results of the electric growth cone were not different from those of traditional manual drilling (Lintab), but the former method was twice as fast as the latter method. The BISA% was 023%, the RMSE% was 187%, and the basic ring information demands were satisfied. The degree of integration was high enough to obtain information about the rings.