大田玉米长势的三维图像监测与建模
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国家863项目(2006AA10Z206),国家科技支撑计划(2008BADA4B03)。


3D image monitoring and modeling for corn plants growth in field condition
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    摘要:

    基于双目立体视觉对大田间玉米生长参数进行测量,并建立玉米三维生长模型,以实现大田玉米生长参数的实时测量和生长过程的三维虚拟显示。以上次测量的平均株高平面为测量区域基准面,利用大津法提取测量区域的玉米叶片。对测量区域进行均匀网格分割,通过对左右网格的匹配,求得覆盖面积和平均颜色。对网格的形心,通过左右视觉的对应进行三维重建,获得形心点云的三维数据和平均株高。利用标杆的测量方法佐证了三维株高测量的正确性。利用上述测量参数,构建了玉米的三维生长模型,并利用OpenGL实现了玉米生长过程的三维虚拟显示。为下一步玉米生物量的实时无损检测以及更精确的玉米三维虚拟建模奠定了基础。

    Abstract:

    Some growth parameters of corn plants were measured in field based on binocular stereovision technology, and a 3D structure model of corn plants was established. The average height of corn plants measured in previous period was established as the base plane of measure area, which binarized by Ostu method. The measure region was divided into grids. The plant area and the average color were measured by matching these grids on left and right visions. The point cloud consisted of grid’s core was established by the 3D reconstructing of these grids. The average height of corn plant was calculated by using the point cloud, and validated by measuring the labeled pole. The 3D structure model of corn plant was established with above data by OpenGL. This study established a base work to real time measure the plant value without scathe, and to model the 3D plant more accurately.

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引用本文

陈兵旗,何 醇,马彦平,白由路.大田玉米长势的三维图像监测与建模[J].农业工程学报,2011,27(13):366-372.

Chen Bingqi, He Chun, Ma Yanping, Bai Youlu.3D image monitoring and modeling for corn plants growth in field condition[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE),2011,27(13):366-372.

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  • 收稿日期:2010-04-28
  • 最后修改日期:2011-04-22
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