黄霞,郑顺义,桂力,赵丽科,马浩.基于点云的谷粒高通量表型信息自动提取技术[J].农业机械学报,2018,49(4):257-264,248.
HUANG Xia,ZHENG Shunyi,GUI Li,ZHAO Like,MA Hao.Automatic Extraction of High-throughput Phenotypic Information of Grain Based on Point Cloud[J].Transactions of the Chinese Society for Agricultural Machinery,2018,49(4):257-264,248.
摘要点击次数: 2279
全文下载次数: 1195
基于点云的谷粒高通量表型信息自动提取技术   [下载全文]
Automatic Extraction of High-throughput Phenotypic Information of Grain Based on Point Cloud   [Download Pdf][in English]
投稿时间:2017-08-16  
DOI:10.6041/j.issn.1000-1298.2018.04.029
中文关键词:  谷粒  表型信息  点云  自动化  批处理
基金项目:国家自然科学基金项目(41671452、41701532)、中央高校基本科研业务费专项资金项目(2042016kf0012)和中国博士后科学基金项目(2017M612510)
作者单位
黄霞 武汉大学 
郑顺义 武汉大学 
桂力 武汉大学 
赵丽科 武汉大学 
马浩 武汉大学 
中文摘要:在进行水稻的数字化考种、表型与基因关联分析和数字农业仿真模拟时,需要大量的谷粒表型信息作数据支撑。本文提出了一种基于三维点云的谷粒高通量表型信息自动提取方法,能同时自动获取谷粒的三维模型和40个表型参数,实现谷粒形状的定量和定性描述。首先,通过对谷粒点云数据进行聚类分析,完成谷粒点云的分类;其次,实现谷粒的三维重建,对谷粒离散点云进行柱面构网,获取谷粒点云的三维模型数据;最后,根据不同表型参数的特点,实现了谷粒的三维表面积和体积、长、宽、高、3个主成分剖面的周长和面积等11个基本参数与长宽比、长高比和体积比等11个衍生参数以及18个形状因子的自动提取。利用Handyscan 700型手持式激光扫描仪获取的谷粒高精度点云数据进行实验,成功实现了谷粒表型参数的自动提取,测量结果可达毫米级。基于主成分方法分析了各表型参数的权重。以游标卡尺测量值和Geomagic Studio测量值作为真值,长、宽、高的平均相对误差为1.14%、1.15%和1.62%,体积和表面积的相对误差为零,3个主成分剖面面积的平均相对误差为1.82%、2.12%和2.43%。本文方法与人工测量方法及软件测量方法相比,精度相当,且具有批量、自动、人工干预少(仅数据采集阶段需要人工操作)以及效率高的特点。
HUANG Xia  ZHENG Shunyi  GUI Li  ZHAO Like  MA Hao
Wuhan University,Wuhan University,Wuhan University,Wuhan University and Wuhan University
Key Words:grain  phenotypic information  point cloud  automation  batch processing
Abstract:Large amount of grain phenotypic information is needed in researches such as digital grain traits investigation, phenotype and gene association analysis and digital agriculture simulation. A method for automatic extraction of grain high-throughput phenotypic information based on point cloud was proposed, aiming to automatically obtain three-dimensional (3D) grain model and 40 phenotypic parameters. Firstly, the classification of grain point cloud was completed through cluster analysis. Secondly, 3D grain model was reconstructed with cylindrical mesh method. Finally, according to the characteristics of different phenotypic parameters, 11 primary parameters, 11 derived parameters and 18 shape factors were automatically extracted. Experiment using data obtained by hand-held laser scanner (Handyscan 700) showed that the measurement result could reach millimeter level. The weight of each phenotypic parameter was analyzed based on principal component analysis method. With parameters measured by vernier caliper and Geomagic Studio as the true value, the average relative error of length, width, height, surface area and volume, the cross-sectional area of three principal component sections was 1.14%, 1.15%, 1.62%, 0, 1.82%, 2.12% and 2.43%, respectively. Compared with the manual measurement method and the software measurement method, the results of the proposed method was competitively accurate, which had advantages of batch processing, automation, less manual intervention (only in data acquisition) and high efficiency.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

   下载PDF阅读器