基于双目视觉的植物叶片三维形态与光照度同步测量

植物叶片的生长与光照度密切相关,尤其在温室大棚内,对光照度的控制要求更高。为同时获取叶片的三维形态与光照分布,该文提出了一种基于双目视觉的纹理植物叶片三维形态与光照度同步测量方法。利用双目视觉原理结合数字图像相关技术,实现叶片三维形态测量;通过植物叶片光照度与图像灰度关系推导,实现三维光照分布测量。该文以网纹草为例,对上述方法进行验证。试验表明：参考子区半径为57 pixels、计算间隔7 pixels时三维形态测量效果最佳;对叶片实施均匀光照,照度仪测量值与图像测量平均值相对误差在6%以内;对叶片实施非均匀光照,测量的光照分布真实反映了叶片光照分布。该方法具有非接触、方便、快捷等优点,为植物...

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Bibliographic Details
Published in农业工程学报 Vol. 32; no. 10; pp. 149 - 156
Main Author 于合龙 黄浦 苏红宏 张超 丁民权 韩志远 冯雪
Format Journal Article
LanguageChinese
Published 吉林农业大学信息技术学院,长春,130118%重庆大学航空航天学院,重庆,400044%西北工业大学航空学院,西安,710000%清华大学航天航空学院,北京,100084 2016
Subjects
三维
光照分布
双目视觉
叶片
同步测量
形态
植物
纹理
双目视觉
纹理
三维
textures
morphology
illuminance distribution
同步测量
leaf
植物
形态
plants
synchronous measurement
three dismensional
叶片
光照分布
binocular vision
Online AccessGet full text
ISSN1002-6819
DOI10.11975/j.issn.1002-6819.2016.10.021

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Summary:植物叶片的生长与光照度密切相关,尤其在温室大棚内,对光照度的控制要求更高。为同时获取叶片的三维形态与光照分布,该文提出了一种基于双目视觉的纹理植物叶片三维形态与光照度同步测量方法。利用双目视觉原理结合数字图像相关技术,实现叶片三维形态测量;通过植物叶片光照度与图像灰度关系推导,实现三维光照分布测量。该文以网纹草为例,对上述方法进行验证。试验表明：参考子区半径为57 pixels、计算间隔7 pixels时三维形态测量效果最佳;对叶片实施均匀光照,照度仪测量值与图像测量平均值相对误差在6%以内;对叶片实施非均匀光照,测量的光照分布真实反映了叶片光照分布。该方法具有非接触、方便、快捷等优点,为植物叶片的三维形态与光照度测量提供了一种方法,为温室大棚的智能光控提供了数据支撑。
Bibliography:Plant leaf is an important organ for photosynthesis and transpiration, and it has a significant effect on plant growth, yield and quality of crops. It is necessary to measure the three dimensional（3D） morphology（3D coordinates of each point on the surface of plant leaves） and illuminance distribution of leaves are important for the study of plant growth.Therefore, in this paper, we proposed a method of measuring the leaf 3D morphology and illuminance distribution synchronization of texture plants based on binocular vision. Firstly, according to the pinhole imaging principle, there is a one-to-one correspondence between 3D spatial coordinate points and image points. The camera calibration is a necessary process when the recovery of information such as angles and distance of spatial points and image points is required. So the intrinsic and external parameters and distortion parameters of the camera were obtained by improved Zhang＇s Calibration.For obtaining the 3D spatial coordinate points,two cameras was used
ISSN:1002-6819
DOI:10.11975/j.issn.1002-6819.2016.10.021