The Research of Subpixel Algorithms of Improving the Accuracy of Image Measuring Systems

WANG Jian-Min; PU Zhao-Bang; LIU Guo-Dong

doi:null

您当前的位置：

首页 >

文章列表页 >

The Research of Subpixel Algorithms of Improving the Accuracy of Image Measuring Systems

更新时间：2020-08-12

- The Research of Subpixel Algorithms of Improving the Accuracy of Image Measuring Systems
- Optics and Precision Engineering Vol. 6, Issue 4, Pages: 44-50(1998)
- 作者机构：
  
  哈尔滨工业大学精密仪器系, 哈尔滨 150001
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Received：06 April 1998，
  
  Published Online：15 August 1998，
  
  Published：15 August 1998
- 稿件说明：
移动端阅览
王建民, 浦昭邦, 刘国栋. 提高图像测量系统精度的细分算法的研究[J]. 光学精密工程, 1998,(4): 44-50

WANG Jian-Min, PU Zhao-Bang, LIU Guo-Dong . The Research of Subpixel Algorithms of Improving the Accuracy of Image Measuring Systems[J]. Editorial Office of Optics and Precision Engineering, 1998,(4): 44-50
王建民, 浦昭邦, 刘国栋. 提高图像测量系统精度的细分算法的研究[J]. 光学精密工程, 1998,(4): 44-50 DOI：

WANG Jian-Min, PU Zhao-Bang, LIU Guo-Dong . The Research of Subpixel Algorithms of Improving the Accuracy of Image Measuring Systems[J]. Editorial Office of Optics and Precision Engineering, 1998,(4): 44-50 DOI：

摘要

首先分析了亚像素细分技术的必要性

然后通过建立二维图像测量系统的数学模型

说明了各种提高图像测量系统的测量精度的算法的理论基础；然后

阐述了几种实用的提高图像测量系统精度的细分算法

在论述最小二乘拟合法时

本文提出了用正交筛选法来进行图像边缘响应函数形式的选择的观点

最后通过计算机仿真

验证了所提出的方法的有效性并比较了各种算法所达到的精度及其抗噪声性能。

Abstract

This paper first analizes the necessity of subpixel techniques

and describes the theoretical base of subpixel algorithms of improving the accuracy of measuring systems by building the mathematical model of general image measuring system.Several methods which can improve the accuracy of measuring system are presented.For the method of least square fitting

we proposal the view of using the method of orthogonal screen to determine the expression of the function of imaging edge reponse.At last

by emulating with the computer

we prove the validity of the methods we propose and compare the accuracy and the performance against noise of several algorithms.

关键词

Keywords

references

Views

311

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Parameter-free parallel fast measurement of fine-pitch spur gears

Catadioptric omnidirectional monocular visual distance measurement method integrating structured light

Design of channel attention network and system for micro target measurement

Kinematic decoupling and velocity adaptive planning of parallel robot in large overall translation

Extraction of laser stripe centers based on equal matching points for binocular vision measurement

Related Author

SHI Zhaoyao

FANG Yiming

ZHU Xu

ZHANG Kailin

ZHANG Yu

XU Xiping

ZHANG Ning

ZHANG Yue

Related Institution

Beijing Engineering Research Center of Precision Measurement Technology and Instruments， Beijing University of Technology

School of Artificial Intelligence， Changchun University of Science and Technology

School of Optoelectronic Engineering ，Changchun University of Science and Technology

Engineering Research Center of Safety Critical Industrial Measurement and Control Technology， Ministry of Education

Anhui Province Key Laboratory of Measuring Theory and Precision Instrument

AI问答

Address：No.3888 Dong Nanhu Road, Changchun, Jilin, China Postal code：130033
Tel：0431-86176855 Email：gxjmgc@ciomp.ac.cn
Technical support is provided by Beijing Founder electronics co., LTD 吉ICP备11002662号-17 京公网安备11010802024621
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰