一种基于旋转不变性的角点检测方法研究

吴敏杨; 季锋; 蒋明

doi:10.3788/YJYXS20183302.0150

您当前的位置：

首页 >

文章列表页 >

一种基于旋转不变性的角点检测方法研究

图像处理 | 更新时间：2020-07-06

- 一种基于旋转不变性的角点检测方法研究
- Corner detection method based on rotation invariance
- 液晶与显示 2018年33卷第2期页码：150-155
- 作者机构：
  
  苏州科技大学数理学院, 江苏苏州 215009
- 作者简介：
  
  [ "吴敏杨(1993-), 女, 江苏常州人, 硕士研究生, 主要研究方向:光学仪器与检测。E-mail:wuminyang1028@163.com" ]
  [ "蒋明(1961-)，女，江苏苏州人，博士，教授，主要研究方向：光测力学及图像处理技术。E-mail：jiangming@mail.usts.edu.cn" ]
- 基金信息：
  
  国家自然科学基金(11172193);Supported by Foundation of National Natural Science(11172193)
- DOI：10.3788/YJYXS20183302.0150
  中图分类号： TP391.4
- 收稿日期：2017-09-26，
  
  录用日期：2017-11-30，
  
  纸质出版日期：2018-02-05
- 稿件说明：
移动端阅览
吴敏杨, 季锋, 蒋明. 一种基于旋转不变性的角点检测方法研究[J]. 液晶与显示, 2018,33(2):150-155.

Min-yang WU, Feng JI, Ming JIANG. Corner detection method based on rotation invariance[J]. Chinese journal of liquid crystals and displays, 2018, 33(2): 150-155.
吴敏杨, 季锋, 蒋明. 一种基于旋转不变性的角点检测方法研究[J]. 液晶与显示, 2018,33(2):150-155. DOI： 10.3788/YJYXS20183302.0150.

Min-yang WU, Feng JI, Ming JIANG. Corner detection method based on rotation invariance[J]. Chinese journal of liquid crystals and displays, 2018, 33(2): 150-155. DOI： 10.3788/YJYXS20183302.0150.

摘要

针对显微立体视觉标定过程中，因显微成像产生的畸变和模糊而造成棋盘格标定板角点误检的问题，提出一种基于旋转不变性的角点检测方法，研究了棋盘格角点间的几何特征，对所有特征角点进行排序，通过实验建立数学模型，计算筛选的特征角点的置信度，准确提取出棋盘格角点位置，并通过一系列实验对这种方法的准确度、噪点数量以及精度进行验证。结果表明，基于旋转不变性的棋盘格角点检测方法，准确率达到91.2%，重投影误差的均方差约为0.1像素，具有较高的准确性和精度。

Abstract

Aiming at the error detection of the chessboard corners caused by distortion and blur of microscopic imaging during the calibration processing of the micro stereovision

a corner detection method of chessboard based on rotation invariance is proposed

which studies the geometry of chessboard corners and sorts all the characteristic corners. Mathematical model is established through experiments

the confidence level of filtered characteristic corners are calculated

which extracts positions of the chessboard corners and validate the accuracy

the number of noise and the precision through a series of experiments. The results show that the accuracy rate of the corner detection based on rotation invariance reaches 91.2%

and the mean square error of the re-projection error is approximately 0.1 pixels

which has a comparatively high accuracy and high precision.

关键词

Keywords

references

白云鑫. 某航天零件微细结构精确测量及自动加工技术研究[D]. 太原: 中北大学, 2017.

BAI Y X. Research on precise measurement and automatic processing technology of micro structure for a space component[D]. Taiyuan: North University of China, 2017. (in Chinese)

刘燕锋, 陈志勇, 张嵘.微机械应力测试结构的温度特性和应力抑制方法[J].光学精密工程, 2016, 24(6):1345-1351.

LIU Y F, CHEN Z Y, ZHANG R. Temperature characteristics of MEMS stress-testing structure and a stress-suppressing method[J]. Optics and Precision Engineering , 2016, 24(6):1345-1351. (in Chinese)

BOUFAIDA Z, BOISSE J, ANDRE S, et al . Mesoscopic strain field analysis in a woven composite using a spectral solver and 3D-DIC measurements[J] . Composite Structures , 2017, 160:604-612.

LUNT A J G, SALVATI E, MA L F, et al . Full in-plane strain tensor analysis using the microscale ring-core FIB milling and DIC approach[J]. Journal of the Mechanics and Physics of Solids , 2016, 94:47-67.

刘艳梅, 金博伟, 魏阳杰, 等.基于显微视觉的亚像素压电陶瓷驱动特性测量[J].仪器仪表学报, 2015, 36(5):1163-1169.

LIU Y M, JIN B W, WEI Y J, et al . Measurement on driving characteristic of a piezoelectric actuator based on the sub-pixel of micro-vision[J]. Chinese Journal of Scientific Instrument , 2015, 36(5):1163-1169. (in Chinese)

WU H, ZHANG X M, GAN J Q, et al . Displacement measurement system for inverters using computer micro-vision[J]. Optics and Lasers in Engineering , 2016, 81:113-118.

APOLINAR J, RODRIGUEZ M. Three-dimensional microscope vision system based on micro laser line scanning and adaptive genetic algorithms[J]. Optics Communications , 2017, 385:1-8.

SHA X P, LI W C, LV X Y, et al . Research on auto-focusing technology for micro vision system[J]. Optik-International Journal for Light and Electron Optics , 2017, 142:226-233.

任茂栋, 梁晋, 唐正宗, 等.微尺度三维变形测量的显微数字图像相关系统[J].光学学报, 2014, 34(5):0512002.

REN M D, LIANG J, TANG Z Z, et al . Microscopic three-dimensional deformation measurement system based on digital image correlation[J]. Acta Optica Sinica , 2014, 34(5):0512002. (in Chinese)

刘博超, 赵建, 孙强.基于边缘改进的Harris角点检测方法[J].液晶与显示, 2013, 28(6):939-942.

LIU B C, ZHAO J, SUN Q. Improved Harris corner detection method based on edge[J]. Chinese Journal of Liquid Crystals and Displays , 2013, 28(6):939-942. (in Chinese)

赵亚凤, 胡峻峰.一种双正交消隐点的双目相机标定方法[J].液晶与显示, 2016, 31(10):958-966.

ZHAO Y F, HU J F. Binocular self calibration using two pairs of orthogonal vanishing points[J]. Chinese Journal of Liquid Crystals and Displays , 2016, 31(10):958-966. (in Chinese)

BOUGUETJ Y. Camera calibration toolbox for Matlab[J]. High Speed Vision System & Object Tracking , 2013.

张广军.机器视觉[M].北京:科学出版社, 2005.

ZHANG G J. Machine Vision [M]. Beijing:Science Press, 2005. (in Chinese)

聂伟乐, 瞿建荣.基于OpenCV的运动目标光流算法仿真[J].应用光学, 2008, 29(6):867-869.

NIE W L, QU J R. Simulation for moving target processing algorithm based on OpenCV[J]. Journal of Applied Optics , 2008, 29(6):867-869. (in Chinese)

GOULART J T, BASSANI R A, BASSANI J W. Application based on the Canny edge detection algorithm for recording contractions of isolated cardiac myocytes[J]. Computers in Biology and Medicine , 2017, 81:106-110.

王巨森, 刘自强.摄像机标定方法的实现[J].电大理工, 2015(2):12-13.

WANG J S, LIU Z Q. Implementation of camera calibration method[J]. Study of Science and Engineering at RTVU , 2015(2):12-13. (in Chinese)

黄丽艳. 抗旋转变换的图像哈希算法[D]. 桂林: 广西师范大学, 2014.

HUANG L Y. Image hashing algorithms resistant to rotation[D]. Guilin: Guangxi Normal University, 2014. (in Chinese)

李根, 李文辉.主方向旋转LBP特征的平面旋转人脸检测[J].电子学报, 2015, 43(1):198-202.

LI G, LI W H. face detection under rotation in image plane using principal direction rotation LBP[J]. Acta Electronica Sinica , 2015, 43(1):198-202. (in Chinese)

SROBA L, RAVAS R, GRMAN J. The influence of subpixel corner detection to determine the camera displacement[J]. Procedia Engineering , 2015, 100:834-840.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于场景复杂度计算的红外图像平台直方图均衡

基于边缘改进的Harris角点检测方法