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机构地区:[1]山东师范大学信息科学与工程学院,250014 [2]山东省分布式计算机软件新技术重点实验室,250014 [3]山东省系统生物学高校重点实验室,250014
出 处:《信息技术与信息化》2013年第1期68-71,共4页Information Technology and Informatization
摘 要:当前虚拟植物仍然存在积累不足等问题,针对叶片的模拟方法单一且停留在仿真层次,无法实现对大豆叶片生长过程的模拟和预测。结合数学上的概率统计模型可以有效的解决这一问题。通过对菏豆12叶片几项方便测量的空间特征数据进行统计分析,构造空间特征的Logistic生长方程,分析利用斜抛质点运动模型作为构建叶脉的基本参照模型,选择方便进行局部修改且易于调整的三次B样条曲线作为绘制叶片轮廓以及叶脉的主要曲线,构建出能够随时间变化而产生生长动态变化的叶片轮廓模型,基本实现大豆叶片生长的动态模拟,以及生长过程的预测。In the current research regarding to virtual plants, there exists some problems such as lacking of accumulation, such methods to simulate leaf blade is not only simplification but also still remain on the simulation level, which makes it impossible to simulate and forecast the process of soybean leaf growth. This problem can be effectively solved by a combination of mathematical probability statistics model. The basic idea of our method is to construct the Logistic growth equation of spatial characteristics based on the statistical analysis of several spatial characteristics data which is measured in the He-beans 12 blades, then select the cubic B-spline curve which can conveniently be partial changed and adjusted as the main curve and use it to draw the blade profile and veins by the analysis of regarding the particle motion model as a vein basic reference model. After that we are able to construct the dynamic growth changes leaf blade contour model accompanied by time. The method we propose in this paper can mainly achieve the dynamic growth simulation and the prediction of soybean leaps growth process.
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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