Apple Tree Leaf Three-dimensional Reconstruction Based on Point Cloud

被引：0

作者：

Zhang W. ^{[1
]}

Liu G. ^{[1
]}

Guo C. ^{[1
]}

Zong Z. ^{[1
]}

Zhang X. ^{[1
]}

机构：

[1] Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing

来源：

Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | 2017年 / 48卷

关键词：

Apple tree leaf; Curvature calculation; Point cloud de-noise; Point cloud simplification; Three-dimensional reconstruction;

D O I：

10.6041/j.issn.1000-1298.2017.S0.017

中图分类号：

学科分类号：

摘要：

The canopy leaf is an important part for the fruit tree development, and the spatial distribution and morphological structure of canopy plays a vital role in fruit yield and quality. The study on three-dimensional (3D) reconstruction of apple tree leaf blade can not only analyze the morphological characteristics, but also provide the theoretical basis for the calculation of canopy light distribution and pruning of fruit trees. With the rapid development of laser scanner technology, three-dimensional laser scanner is widely used in 3D reconstruction of different fields due to the advantages of non contact, high precision and high efficiency. A method was proposed for 3D reconstruction of apple tree leaf blade based on point cloud. And the accomplishment of the 3D reconstruction method was on the basic of presented point cloud simplification method. First of all, 3D laser scanner was used to obtain point cloud of apple tree leaf blade. Secondly, search the K-neighborhood points based on the bounding box method and calculate the average distance between the midpoint and its neighbors. The noises were identified according to distance threshold and then they were removed. Thirdly, extract the boundary feature points and retain them as a mandatory feature area. For the non-boundary points, according to the relationship between the midpoint normal vector and its neighbor normal vector, the points were reduced to different degrees. Finally, the 3D reconstruction of apple tree leaf blade is realized. The results showed that the constructed leaf model can preserve the 3D morphological features of the leaf, which can provide a basis for further canopy reconstruction and light distribution calculation. © 2017, Chinese Society of Agricultural Machinery. All right reserved.

引用

页码：103 / 109

页数：6

共 22 条

[1]

Liu G., Si Y., Feng J., 3D reconstruction of agriculture and forestry crops[J/OL], Transactions of the Chinese Society for Agricultural Machinery, 45, 6, (2014)

[2]

Zhao C., Lu S., Guo X., Et al., Exploration of digital plant and its technology system, Scientia Agricultural Sinica, 43, 10, pp. 2023-2030, (2010)

[3]

Ma X., Guo C., Zhang X., Et al., Calculation of light distribution of apple tree canopy based on color characteristics of 3D point cloud, Transactions of the Chinese Society for Agricultural Machinery, 46, 6, pp. 263-268, (2015)

[4]

Ma X., Calculation of light distribution to apple tree canopy, (2015)

[5]

Zhao C., Lu S., Guo X., Et al., Advances in research of digital plant: 3D digitization of plant morphological structure, Scientia Agricultura Sinica, 48, 17, pp. 3415-3428, (2015)

[6]

Sun Z., Zhao Y., Guo X., Et al., The research progress on real data-based plant modeling, Journal of Agricultural Mechanization Research, 34, 3, pp. 18-24, (2012)

[7]

Mundermann L., Macmurchy P., Pivovarov J., Et al., Modeling lobed leaves, Computer Graphics International, pp. 60-65, (2003)

[8]

Yang L., Guo X., Lu S., Et al., 3D morphological reconstruction of cucumber leaf based on multiple images, Transactions of the CSAE, 25, 2, pp. 141-144, (2009)

[9]

Yang L., Guo X., Zhao C., Et al., Morphology measure and 3D reconstruction of corn leaf based on machine vision, Journal of Computer Applications, 28, 10, pp. 2661-2663, (2008)

[10]

Li H., 3D reconstruction of maize leaves based on virtual visual technology, Bulletin of Scienca and Technology, 32, 5, pp. 96-101, (2016)

← 1 2 3 →