[1]谢超,谢明红.应用局部自适应阈值方法检测圆形标志点[J].华侨大学学报(自然科学版),2016,37(2):134-138.[doi:10.11830/ISSN.1000-5013.2016.02.0134]
　XIE Chao,XIE Minghong.Circular Mark Point Detecting Research Based on Local Adaptive Threshold[J].Journal of Huaqiao University(Natural Science),2016,37(2):134-138.[doi:10.11830/ISSN.1000-5013.2016.02.0134]
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应用局部自适应阈值方法检测圆形标志点()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第37卷
期数:
2016年第2期
页码:
134-138
栏目:
出版日期:
2016-03-20

文章信息/Info

Title:
Circular Mark Point Detecting Research Based on Local Adaptive Threshold
文章编号:
1000-5013(2016)02-0134-05
作者:
谢超;  谢明红
华侨大学 机电及自动化学院, 福建 厦门 361021
Author(s):
XIE Chao;  XIE Minghong
College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China
关键词:
图像分割;  机器视觉;  自适应阈值;  圆形标志点;  椭圆拟合
Keywords:
image segmentation;  machine vision;  adaptive threshold;  cular mark point;  ellipse fitting
分类号:
TP317.4
DOI:
10.11830/ISSN.1000-5013.2016.02.0134
文献标志码:
A
摘要:
利用圆形标志点的几何和灰度特征,在图像中搜索具有符合该特征描述的区域,对圆形标志点进行粗定位.对粗定位区域的扩展区域使用最大类间方差阈值分割法分割出圆形标志点轮廓,并对像素轮廓进行最小二乘拟合,计算出圆形标志点的中心坐标及拟合轮廓各参数,根据该参数筛选保留所需标志点中心坐标.结果表明:该方法使用局部的大津阈值检测圆形标志点,能够避免全局阈值的缺陷,提高标志点检测的检出率;采用最小二乘椭圆拟合提取标志点中心,能够达到亚像素级精度.
Abstract:
Using the geometric and gray features of the circular mark points, search an area in the image with the feature description and do coarse position of them. The extension area of coarse position area is divided into the contour of the circular mark points using Otsu threshold segmentation method, and the the contour pixels are fitted with the least squares method to calculate the center coordinates of the circular mark points as well as the parameters of the fitting contour. According to the parameters to select the center coordinates which is needed. The results show that this method takes advantage of local Otsu threshold to detect circular mark points and avoids the defect of global threshold, improves the detection efficiency of circular mark points. Using the least squares ellipse fitting to extract mark points center can achieve sub-pixel precision.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2014-12-24
通信作者: 谢明红(1968-),男,研究员,博士,主要从事数控技术的研究.E-mail:xmh@hqu.edu.cn.
基金项目: 福建省科技重大专项(2013HZ0001-2)
更新日期/Last Update: 2016-03-20