[1]李喆,丁振良,袁峰,等.基于分层插值和最小二乘拟合的亚像素细分算法[J].南京理工大学学报(自然科学版),2008,(05):615-618.
 LI Zhe,DING Zhen-liang,YUAN Feng.Subpixel Algorithm Based on Level Interpolation and Least Squares Fitting[J].Journal of Nanjing University of Science and Technology,2008,(05):615-618.
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基于分层插值和最小二乘拟合的亚像素细分算法
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2008年05期
页码:
615-618
栏目:
出版日期:
2008-10-30

文章信息/Info

Title:
Subpixel Algorithm Based on Level Interpolation and Least Squares Fitting
作者:
李喆;丁振良;袁峰;
哈尔滨工业大学电气工程及自动化学院,黑龙江哈尔滨150001
Author(s):
LI ZheDING Zhen-liangYUAN Feng
School of Electrical Engineering and Automation,Harbin Institute of Technology,Harbin 150001,China
关键词:
质心算法 插值 最小二乘拟合 亚像素精度
Keywords:
centroid algorithms interpolations least squares fitting subpixel precision
分类号:
TP391.41
摘要:
在分析传统的光斑质心亚像素细分算法误差原因的基础上,提出了一种基于"金字塔思想"分层方式的三次线形插值和最小二乘拟合的质心算法。通过多次插值对光斑图像进行逐层细分,采用最小二乘曲面拟合在每一层内进行迭代计算。结果表明,该文分层插值方法提高了图像的分辨率,减小了图像系统误差和随机噪声等因素对算法精度的影响,通过该方法获得了较高精度的图像光斑中心位置。仿真实验测试证明,分层插值拟合方法精度优于质心法和曲面拟合法等传统算法,在实际的飞行器测量实验中具有很好的实用性。
Abstract:
The causes for the errors of traditional centroid subpixel algorithms are theoretically analyzed and an improved centroid algorithm based on cubic convolution interpolation by pyramid algorithm and least squares fitting is presented.Several interpolations are used to subdivide the spot images and least squares surface fitting is employed to compute iteratively in each level.The image resolution is increased and the influence of system errors and random noise in image on the algorithm is reduced,and the spot center is located accurately.The simulation results show that the accuracy of the level interpolation fitting algorithm is better than centroid algorithm and surface fitting algorithm and has good practicability in aircraft measurement experiments.

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备注/Memo

备注/Memo:
基金项目:国家自然科学基金(50275040)  作者简介:李喆(1978 - 2008) ,男,黑龙江哈尔滨人,博士生,主要研究方向:视觉测量、飞行器姿态测量, E_mail: lizhe1978@hit. edu. cn。
更新日期/Last Update: 2012-12-19