采用黑白检测算子的棋盘格角点检测

范新峰; 程远增; 付强

doi:10.3788/OPE.20152313.0479

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采用黑白检测算子的棋盘格角点检测

更新时间：2020-08-13

- 采用黑白检测算子的棋盘格角点检测
- Chessboard corner detection based on black-white detection operator
- 光学精密工程 2015年23卷第10z期页码：479-483
- 作者机构：
  
  军械工程学院电子与光学工程系,河北石家庄,050003
- 作者简介：
- 基金信息：
  
  武器装备军内科研项目(No.裝司[2014]551)()
- DOI：10.3788/OPE.20152313.0479
  中图分类号： TP391.41
- 收稿日期：2015-05-05，
  
  修回日期：2015-06-01，
  
  纸质出版日期：2015-11-14
- 稿件说明：
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范新峰, 程远增, 付强. 采用黑白检测算子的棋盘格角点检测[J]. 光学精密工程, 2015,23(10z): 479-483

FAN Xin-feng, CHENG Yuan-zeng, FU Qiang. Chessboard corner detection based on black-white detection operator[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 479-483
范新峰, 程远增, 付强. 采用黑白检测算子的棋盘格角点检测[J]. 光学精密工程, 2015,23(10z): 479-483 DOI： 10.3788/OPE.20152313.0479.

FAN Xin-feng, CHENG Yuan-zeng, FU Qiang. Chessboard corner detection based on black-white detection operator[J]. Editorial Office of Optics and Precision Engineering, 2015,23(10z): 479-483 DOI： 10.3788/OPE.20152313.0479.

摘要

针对CCD相机高精度标定对标定板角点检测的要求

分析了黑白棋盘格图像的灰度特性

提出了一种基于黑白检测算子(BW算子)的棋盘格亚像素检测算法。该算法首先定义4个方向

根据BW算子统计各个方向上的灰度值

计算

值(BW算子的响应值)并检测出角点

获得像素级坐标;然后利用角点邻域内的灰度信息

根据本文提出的亚像素定位算法

将角点坐标提高到亚像素级精度。在MATLAB编译环境下进行了仿真实验

结果表明

该算法能完整准确地检测棋盘格角点

定位精度达到了0.1 pixel。该检测算法为CCD相机的高精度标定提供了基本条件。

Abstract

According to the requirement of the high-precision calibration of a CCD camera for corner detection in the calibration plate

a sub-pixel corner detection algorithm of black-white chessboard based on black-white operators(referred to BW operator) was proposed with the analysis of the gradation characteristic of a chessboard image. The algorithm checks firstly out the gray values in 4 directions as defined. The

(the response to BW operator) was calculated to obtain the coordinates of corners with the precision at pixel level. Then the sub-pixel location algorithm based on the gray information of corner neighborhood was proposed to improve the precision of coordinates to sub-pixel level. The simulation experiment was performed in the MATLAL evironment and the experimental results show the algorithm detects completely and accurately corners of chessboard with a precision of 0.1 pixel level. The detection algorithm provides a basic condition for the high-precision of CCD cameras.

关键词

Keywords

references

高宏伟. 计算机双目立体视觉[M]. 北京:电子工业出版社,2012. GAO H W. Computer Based Binocular Vision[M]. Beijing:Publishing House of Electronics Industry.(in Chinese)

熊显明,任娟娟. 黑白棋盘格中的角点提取算法的研究[J]. 微型机与应用,2014,33(9):66-69. XIONG X M, REN J J. Research of corner detection algorithm in the black and white checkerboard[J]. Microcomputer and Its Applications, 2014, 33(9):66-69.(in Chinese)

赵斌,周军. 基于改进棋盘的角点自动检测与排序[J]. 光学精密工程,2015,23(1):237-244. ZHAO B, ZHOU J. Automatic detection and sorting of corners by improved chessboard pattern[J]. Optics and Precision Engineering, 2015, 23(1):237-244.(in Chinese)

SMITH S M, BRADY J M. SUSAN-a new approach to low level image processing[J]. Computer Vision, 1997, 23(1):45-78.

HARRIS C, STEPHEN S M. A combined corner and edge detection[C]. In Proceeding of The Fourth Alvey Vision Computer Vision, 1988, 147-151.

杨幸芳,黄玉美,高峰,等. 用于摄像机标定的棋盘图像角点检测新算法[J]. 仪器仪表学报,2011,32(5):1109-1113. YANG X F, HUANG Y M, GAO F, et al.. New corner detection algorithm of chessboard image for camera calibration[J]. Chinese Journal of Scientific Instrument, 2011, 32(5):1109-1113.(in Chinese)

储珺,郭卢安政,赵桂花. 采用环形模板的棋盘格角点检测[J]. 光学精密工程,2013,21(1):189-196. CHU J, GUO L A ZH, ZHAO G H. Chessboard corner detection based on circular template[J]. Optics and Precision Engineering, 2013, 21(1):189-196.(in Chinese)

戴士杰,邵猛,吴佳宁,等. 使用12像素对称模板的棋盘格内角点检测[J]. 红外与激光工程,2014,43(4):1306-1311. DAI S J, SHAO M, WU J N, et al.. Inter corner detection of chessboard image for camera calibration based on 12 pixels symmetrical template[J]. Infrared and Laser Engineering, 2014, 43(4):1306-1311.(in Chinese)

刘阳,王福利,常玉清,等. 黑白棋盘格角点检测算法[J]. 东北大学学报(自然科学版),2007,28(8):1090-1093. LIU Y, WANG F L, CHANG Y Q, et al.. Black and white X-corner detection algorithm[J]. Journal of Northeastern University(Natural Science), 2007, 28(8):1090-1093.(in Chinese)

屠大维,张翼成. 基于灰度差异的棋盘格角点自动检测[J]. 光学精密工程,2011,19(6):1360-1366. TU D W, ZHANG Y CH. Auto-detection checkerboard corners based on gray-level difference[J]. Optics and Precision Engineering, 2011, 19(6):1360-1366.(in Chinese)

张艳珍,欧宗英. 一种新的摄像机线性标定方法[J]. 中国图像图形学报,2001,6(8):727-731. ZHANG J X, OU Z Y. A new linear approach for camera calibration[J]. Journal of Image and Graphics, 2001, 6(8):727-731.(in Chinese)

唐巍,叶东,袁峰,等. 灰色关联分析法在双目视觉测量系统误差分析中的应用[J]. 光学精密工程,2013,21(2):503-513. TANG W, YE D, YUAN F, et al.. Application of gray incidence method to error analysis of binocular vision measurement system[J]. Optics and Precision Engineering, 2013, 21(2):503-513.(in Chinese)

张颖. 一种摄像机亚象素线性标定方法[J]. 计算机工程与应用,2007,43(9):56-58. ZHANG Y. New linear approach for camera calibration with sub-pixel accuracy[J]. Computer Engineering and Applications, 2007, 43(9):56-58.(in Chinese)

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