基于点云数据的叶脉和轮廓提取

Zhihui Sun, Shenglian Lu, Xinyu Guo, Yuan Tian
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引用次数: 12

摘要

植物叶片的脉理和轮廓在植物物种鉴定、植物间亲缘关系探索和叶片三维形状重建等农艺研究中具有重要意义。提出了一种从点云数据中提取叶脉和轮廓的方法。首先利用点云的曲率信息提取叶脉,然后构建植物叶片的网格模型,并利用网格算法提取叶片轮廓;对上述提取的叶脉和叶边进行拟合和修复相结合的过程,即可得到最终的叶脉和叶脉轮廓。实验结果表明,该方法可以从激光扫描的点云数据中提取出叶脉和轮廓。
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Leaf Vein and Contour Extraction from Point Cloud Data
Venation and contour of plant leaves are significant for many agronomic applications, such as the identification of plant species, the exploration of genetic relationship among plants and the 3D shape reconstruction of leaves. This paper presents a method for extracting leaf vein and contour from point cloud data. Firstly, leaf veins were extracted by using the curvature information of the point cloud, then the mesh model of plant leaf was constructed and the leaf contour was also extracted using mesh algorithm. The final leaf vein and contour can be obtained after a process combined fitting and repairing to the above extracted leaf veins and edges. The experimental results demonstrate that this method could extract the leaf veins and contour from laser scanned point cloud data.
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