| 圆型图像特征点检测算法 |
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| 引用本文： | 黎票,杨天龙,廖建国,赵前程.圆型图像特征点检测算法[J].吉首大学学报(自然科学版),2015,36(1):28-34. |
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| 作者姓名： | 黎票 杨天龙 廖建国 赵前程 |
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| 作者单位： | 湖南科技大学机电工程学院,湖南湘潭,411201 |
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| 基金项目： | 国家自然科学基金资助项目(51275169，51345009);湖南省教育厅高校科研资助项目（12C0117） |
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| 摘 要： | 为了提高圆型图像特征点检测算法的准确性和稳定性等,提出了一种基于圆型特征图像中心灰度对称的检测算法.先利用Sobel算子进行圆型特征图像边缘检测,然后采用灰度质心法求出圆型特征图像的中心,最后引入灰度对称因子获得圆型图像特征点的亚像素位置坐标.用仿真投影实验和实际实验来评估算法精度,结果表明新算法精度可控制在0.2个像素左右.
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| 关 键 词： | 特征点 亚像素 角点检测 摄像机标定 |
Algorithm for Detecting Feature Points of Circle Image |
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| LI Piao
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YANG Tianlong
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LIAO Jianguo
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ZHAO Qiancheng.Algorithm for Detecting Feature Points of Circle Image[J].Journal of Jishou University(Natural Science Edition),2015,36(1):28-34. |
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| Authors: | LI Piao YANG Tianlong LIAO Jianguo ZHAO Qiancheng |
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| Institution: | （College of Electromechanical Engineering,Hunan University of Science and Technology,Xiangtan 411201,Hunan China） |
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| Abstract: | In order to improve the accuracy and stability of circular image feature point detection,an algorithm is put forward based on the gray-scale symmetry of circular image center.Through this algorithm,the edge of circular image is firstly detected by Sobel operator;then gray-scale qualitative method is used to determine the center of the circular image;and finally gray-scale symmetry factor is introduced to obtain the sub-pixel coordinates of the feature points of circular image.Projection simulation experiment and measuring experiment are adopted to evaluate the precision of this algorithm,and the experiment results show that the precision of this method is around 0.2 pixels. |
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| Keywords: | feature points sub-pixel corner detection camera calibration |
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