点云
曲率
等高线
点(几何)
过程(计算)
计算机视觉
人工智能
计算机科学
静脉
萃取(化学)
植物
鉴定(生物学)
数学
生物
几何学
地理
地图学
化学
心理学
色谱法
精神科
操作系统
作者
Zhihui Sun,Shenglian Lu,Xinyu Guo,Yuan Tian
出处
期刊:International Conference on Virtual Reality and Visualization
日期:2011-11-01
卷期号:33: 11-16
被引量:14
标识
DOI:10.1109/icvrv.2011.40
摘要
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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