摘要
为使B样条拟合目标曲线的迭代过程中单独控制部分数据点,调整局部曲线形状,减小局部曲线迭代误差,提出带互异权值的最小二乘渐进迭代逼近法.首先赋统一初始权值于每个数据点,用最小二乘渐进迭代逼近法生成B样条拟合曲线;其次调整部分数据点对应的权值,运用带互异权值的最小二乘渐进迭代逼近法生成B样条拟合曲线;最后比较调整前后拟合误差.实例结果表明,本文所提出方法可调整局部拟合曲线形状,减小拟合误差.
In order to control part data points independently,adjust the shape of local curves and reduce the iterative errors of local curves in the process of fitting B-spline to the target curve,we propose a least square progressive iterative approximation with different weights.Firstly,the unified initial weights are assigned to all data points,and the B-spline fitting curve is generated by the least square progressive iterative approximation.Secondly,the weights corresponding to some data points are adjusted,and the B-spline fitting curve is generated by using the least square progressive iterative approximation with different weights.Finally,the fitting errors before and after adjustment are compared.The example results show that the method proposed in this paper can adjust the shape of local fitting curves and reduce fitting errors.
作者
王曾珍
刘华勇
WANG Zeng-zhen;LIU Hua-yong(College of Mathematics,Anhui Jianzhu University,Hefei 230601,China)
出处
《小型微型计算机系统》
CSCD
北大核心
2023年第4期845-849,共5页
Journal of Chinese Computer Systems
基金
安徽省高等学校自然科学研究项目(KJ201012
KJ2021A0630
KJ2021A0633)资助
安徽建筑大学质量工程项目(2020jy22)资助
安徽省级质量工程项目(2020kfkc163)资助
安徽省教育厅科学研究项目(KJ2021A0630,KJ2021A0633)资助。
关键词
B样条
最小二乘法
渐进迭代逼近
权值
局部曲线
B-spline
least square method
progressive iterative approximaion
weights
local curves