[1]盖绍彦,达飞鹏,杨伟光.一种新的用于光学测量的圆点检测算法[J].东南大学学报(自然科学版),2010,40(2):326-330.[doi:10.3969/j.issn.1001-0505.2010.02.021]
 Gai Shaoyan,Da Feipeng,Yang Weiguang.New method for circle detection in optical measurement[J].Journal of Southeast University (Natural Science Edition),2010,40(2):326-330.[doi:10.3969/j.issn.1001-0505.2010.02.021]
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一种新的用于光学测量的圆点检测算法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
40
期数:
2010年第2期
页码:
326-330
栏目:
机械工程
出版日期:
2010-03-20

文章信息/Info

Title:
New method for circle detection in optical measurement
作者:
盖绍彦 达飞鹏 杨伟光
东南大学自动化学院,南京 210096; 东南大学复杂工程系统测量与控制教育部重点实验室,南京 210096
Author(s):
Gai Shaoyan Da Feipeng Yang Weiguang
School of Automation, Southeast University, Nanjing 210096, China
Key Laboratory of Measurement and Control of CSE of Ministry of Education, Southeast University, Nanjing 210096, China
关键词:
光学测量 图像处理 边界检测 机器视觉
Keywords:
optical measurement image processing edge detection machine vision
分类号:
TH741
DOI:
10.3969/j.issn.1001-0505.2010.02.021
摘要:
针对光学测量中圆形标志点面积小、背景不固定、投影畸变不一致等问题,提出一种基于区域检测和边界验证的圆点检测方法.在图像预处理后,使用边缘算子对图像进行区域检测,根据图像的连续特征,在边缘延展的基础上对所有可能的疑似圆点进行检测,在复杂背景中突出圆形标志点的特征,从而检测到变形的圆点; 对得到的变形圆点集合,由图像和三维点之间的关系得到圆点的位置,利用圆点边界信息进行自适应验证,最终得到准确的圆形标志点集合.通过对各种复杂背景下的真实图像进行检测实验,证明基于区域检测和边界验证的检测算法简单、高效、可靠,可以在不同环境下快速准确地定位待检测点,有效地解决了标志点在各种情况下变形程度不同难以辨别的问题.
Abstract:
To solve the problems of circle detection in optical measurement, such as small size, unfixed background, and projection distortion inconsistencies, a general circle point detection method is presented, which is based on region detection and border verification. After an image is preprocessed, edge detector is applied to detect candidate circle points that have continuous edges, which can highlight the characteristics of circle points under complex background, and thus the deformed circle points can be detected. Then the position of every deformed circle point is calculated by the relationship between the image points and the corresponding three-dimensional points. Furthermore, using adaptive authentication, circle points can be testified according to the edge information. Finally, the true circle points can be obtained accurately. The method is carried out on various real images under complex background. The experimental results show that this new method is effective and credible, which can solve the identification problem caused by different degrees of deformation under various conditions. The points can be detected using the proposed method with high accuracy and speed in different environments.

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备注/Memo

备注/Memo:
作者简介: 盖绍彦(1979—),男,博士; 达飞鹏(联系人),男,博士,教授,博士生导师,Dafp@seu.edu.cn.
基金项目: 国家自然科学基金资助项目(60775025)、教育部新世纪优秀人才支持计划资助项目(NCET-07-0178)、 江苏省自然科学基金资助项目(BK2007116)、华中科技大学数字制造装备与技术国家重点实验室开放课题资助项目(DMETKF2009011).
引文格式: 盖绍彦,达飞鹏,杨伟光.一种新的用于光学测量的圆点检测算法[J].东南大学学报:自然科学版,2010,40(2):326-330. [doi:10.3969/j.issn.1001-0505.2010.02.021]
更新日期/Last Update: 2010-03-20