3D shape indexes measurement system of maize ear based on Xtion sensor

WANG Ke; GE Zhen-yang; GUO Hao; ZHANG Hao-ran; CHEN Lin; QUAN Tian-hui

doi:10.13873/J.1000-9787(2015)04-0062-04

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3D shape indexes measurement system of maize ear based on Xtion sensor

更新时间：2025-09-11

- 3D shape indexes measurement system of maize ear based on Xtion sensor
- Vol. 34, Issue 4, Pages: 62-65(2015)
- 作者机构：
  
  1. 昆明理工大学现代农业工程学院
  2. 中国农业大学农业部农业信息获取技术重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2015)04-0062-04
  CLC： TP274;TP391.41
- Published：2015
- 稿件说明：
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[1]王可,戈振扬,郭浩,张皓然,陈林,全天惠.基于Xtion传感器的玉米果穗三维形态指标测量系统[J].传感器与微系统,2015,34(04):62-65.

WANG Ke, GE Zhen-yang, GUO Hao, et al. 3D shape indexes measurement system of maize ear based on Xtion sensor[J]. 2015, 34(4): 62-65.
[1]王可,戈振扬,郭浩,张皓然,陈林,全天惠.基于Xtion传感器的玉米果穗三维形态指标测量系统[J].传感器与微系统,2015,34(04):62-65. DOI： 10.13873/J.1000-9787(2015)04-0062-04.

WANG Ke, GE Zhen-yang, GUO Hao, et al. 3D shape indexes measurement system of maize ear based on Xtion sensor[J]. 2015, 34(4): 62-65. DOI： 10.13873/J.1000-9787(2015)04-0062-04.

摘要

为了快速无损测量玉米果穗三维形态指标

设计了一种基于Xtion传感器的玉米果穗三维形态指标测量系统。采用Xtion配合电动转台采集多视角玉米果穗点云数据

利用ICP配准方法对完整果穗点云数据进行配准拼接

采取泊松重建方法对配准后的点云数据进行三维重建

最后利用散度原理进行果穗体积的计算。结果表明:测得的体积值与其真实值之间的误差在9%之内。该方法为自动化玉米果穗三维形态指标测量提供了切实可行的新途径。

Abstract

To measure three dimensional shape indexes of maize ear quickly and nondestructively

3D shape indexes measurement system of maize ear based on Xtion sensor is designed. Multi-view cloud datas of the maize ear are acquired by using Xtion and electromotion turntable

iterative closest point（ ICP） algorithm is used to mosaic complete point cloud data

Poisson surface reconstruction is using on the basis of the result of registration and then the volume of the reconstructed mesh is calculated using the divergence theorem. The results show that the errors between the true value and measured value of the volume are within 9%. The method provides a practical new approach for automatic three dimensional traits measurement of maize ear.

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references

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基于机器视觉的玉米果穗参数的图像测量方法 [J]. 刘长青,陈兵旗. 农业工程学报 . 2014(06)

采用全景技术的机器视觉测量玉米果穗考种指标 [J]. 王传宇,郭新宇,吴升,肖伯祥,杜建军. 农业工程学报 . 2013(24)

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玉米穗粒重与果穗三维几何特征关系的定量研究 [J]. 杨锦忠,张洪生,赵延明,宋希云,王新勤. 中国农业科学 . 2010(21)

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