玉米果穗点云分割方法研究

doi:10.16182/j.issn1004731x.joss.201712013

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (12): 3030-3035.doi: 10.16182/j.issn1004731x.joss.201712013

玉米果穗点云分割方法研究

温维亮^1,2, 郭新宇¹, 杨涛³, 赵德达¹, 苗腾^3*, 朱宏宇⁴, 董成玉⁴

1.北京农业信息技术研究中心/数字植物北京重点实验室,北京100097;
2.北京工业大学计算机学院,北京 100124;
3.沈阳农业大学信息与电气工程学院,沈阳 110866;
4.辽宁东亚种业有限公司,沈阳 110164

收稿日期:2015-09-10 发布日期:2020-06-06
作者简介:温维亮(1983-),男,辽宁本溪,博士生,助理研究员,研究方向为数字植物应用。
基金资助:
国家863计划(2013AA102404),北京市科技计划(D151100004215004),辽宁省科学技术计划(201404236-3)

Point Cloud Segmentation Method of Maize Ear

Wen Weiliang^1,2, Guo Xinyu¹, Yang Tao³, Zhao Deda¹, Miao Teng^3*, Zhu Hongyu⁴, Dong Chengyu⁴

1. Beijing Research Center for Information Technology in Agriculture/ Beijing Key Lab of Digital Plant, Beijing 100097, China;
2. College of Computer Science, Beijing University of Technology, Beijing 100124, China;
3. College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, china;
4. Liaoning Dongya Seed Co.Ltd, Shenyang 110164, China

Received:2015-09-10 Published:2020-06-06

摘要/Abstract

摘要： 玉米果穗的三维点云分割是玉米果穗三维表型特征计算与分析的基础。提出一种玉米果穗三维点云分割方法,采用SmartScan三维扫描仪获取玉米果穗三维点云数据;对点云进行重采样以实现点云简化;在此基础上,通过计算果穗点云中各点的法向量,对果穗点云进行收缩变换以增大籽粒点间的欧式距离,通过欧式聚类的方法实现果穗点云的分割。结果表明,果穗点云籽粒分割率可达到90%以上。方法为基于三维点云数据的玉米果穗表型性状研究提供了技术支撑。

关键词: 玉米, 点云分割, 考种, 欧式聚类

Abstract: Three-dimensional (3D) segmentation of maize ear is the fundamental research of 3D ear phenotype. A method of 3D segmentation for maize ear was proposed in this paper. Firstly, 3D point cloud of maize ear was acquired by using SmartScan 3D scanner. Then the point cloud was simplified by point cloud resampling to improve the efficiency of subsequent algorithm. And a contraction transformation was employed to increase the distance of neighboring grains in Euclidean space by estimating the normal of each point through k-neighbor algorithm. Finally, the point cloud of maize ear was segmented by Euclidean clustering. Results showed that the segmentation rate of grains could achieve more than 90%. Our method could provide technology support for the research of 3D ear phenotype analysis.

Key words: maize, point cloud segmentation, ear analysis, Euclidean clustering

中图分类号:

TP391.4

温维亮, 郭新宇, 杨涛, 赵德达, 苗腾, 朱宏宇, 董成玉. 玉米果穗点云分割方法研究[J]. 系统仿真学报, 2017, 29(12): 3030-3035.

Wen Weiliang, Guo Xinyu, Yang Tao, Zhao Deda, Miao Teng, Zhu Hongyu, Dong Chengyu. Point Cloud Segmentation Method of Maize Ear[J]. Journal of System Simulation, 2017, 29(12): 3030-3035.

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玉米果穗点云分割方法研究

Point Cloud Segmentation Method of Maize Ear

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