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Leaf Vein and Contour Extraction from Point Cloud Data

机译:从点云数据提取叶脉和轮廓

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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.
机译:植物叶片的通气性和轮廓对于许多农学应用而言都很重要,例如植物种类的鉴定,植物间遗传关系的探索以及叶片的3D形状重建。本文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,然后建立植物叶片的网格模型,并利用网格算法提取叶片轮廓。最终的叶脉和轮廓可以在对上面提取的叶脉和边缘进行组合拟合和修复的过程之后获得。实验结果表明,该方法可以从激光扫描点云数据中提取叶脉和轮廓。

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