Robust pattern locating algorithm for calibration of vision sensor

CUI Hai-hua1; LIAO Wen-he1; CHENG Xiao-sheng1; DAI Ning1; FU Shi-qiang; GENG Hai-ning2

doi:10.13873/j.1000-97872009.09.010

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Robust pattern locating algorithm for calibration of vision sensor

更新时间：2025-09-11

- Robust pattern locating algorithm for calibration of vision sensor
- Vol. 28, Issue 9, Pages: 62-65+69(2009)
- 作者机构：
  
  1. 南京航空航天大学机电学院
  2. 解放军总装备部江阴远望测量基地
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872009.09.010
  CLC： TP391.41
- Published：2009
- 稿件说明：
移动端阅览
[1]崔海华,廖文和,程筱胜,戴宁,傅士强,耿海宁.用于视觉传感器标定的鲁棒性靶标定位算法[J].传感器与微系统,2009,28(09):62-65+69.

CUI Hai-hua1, LIAO Wen-he1, CHENG Xiao-sheng1, et al. Robust pattern locating algorithm for calibration of vision sensor[J]. 2009, 28(9): 62-65+69.
[1]崔海华,廖文和,程筱胜,戴宁,傅士强,耿海宁.用于视觉传感器标定的鲁棒性靶标定位算法[J].传感器与微系统,2009,28(09):62-65+69. DOI： 10.13873/j.1000-97872009.09.010.

CUI Hai-hua1, LIAO Wen-he1, CHENG Xiao-sheng1, et al. Robust pattern locating algorithm for calibration of vision sensor[J]. 2009, 28(9): 62-65+69. DOI： 10.13873/j.1000-97872009.09.010.

摘要

为了满足高精度机器视觉传感器的标定

提出了一种新的靶标识别定位算法。算法的实现包括靶标模式的检测和匹配两部分

其中

基于矩的靶标模式检测方法使得检测精度与模式形状无关

克服了摄影变换后圆形靶标模式的非圆性缺点

保证了亚像素级的检测精度;提出的种子扩散算法能根据靶标邻域信息自动调整扩散方向和度量信息

对于任意位姿的靶标图像都能保证与三维靶标实现稳定、准确、自动的匹配。对新设计的靶标进行了识别定位实验

结果表明:算法具有高精度、高正确定位重复率、全自动和快速性等优点。

Abstract

A new pattern locating algorithm is presented for high precision calibration of the machine vision sensor.This locating algorithm includes accurate target detection and pattern matching.The developed subpixel estimation method based on moment is immune to the pattern shape

so it overcomes the non-circular disadvantage of circular target patterns by photography transformation

and ensures the detection accuracy.The proposed matching algorithm can adaptively adjust the matching direction and distance metrics according to the information of neighbor targets.This matching algorithm is stable

automated for any attitude of the pattern image.The new locating algorithm is used to recognize the new design pattern

the experiments show the locating algorithm has high precision

high repetition rate of correct locating

automatic and fast features.

关键词

Keywords

references

一种图像测量系统的现场标定和畸变校正方法 [J]. 刘力双,孙双花,吕乃光,邓文怡. 传感器与微系统 . 2008(05)

新型方向性平面靶标及拓扑定位算法 [J]. 张效栋,孙长库. 计算机工程与应用 . 2008(11)

圆形标志中心子像素定位方法的研究与实现 [J]. 黄桂平. 武汉大学学报(信息科学版) . 2005(05)

Least-squares fitting of circles and ellipses [J] . Walter Gander,Gene H. Golub,Rolf Strebel. BIT . 1994 (4)

A formal definition of the Hough transform: Properties and relationships [J] . J. Princen,J. Illingworth,J. Kittler. Journal of Mathematical Imaging and Vision . 1992 (2)

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