摘要
为了解决传统算法QR码定位中出现QR码失真,或旋转时出现较弱鲁棒性的现象,提出一种新型QR码自适应定位算法。在算法研究过程中,首先使用自适应阈值算法解决不均匀照明的影响,在此基础上提出一种基于轮廓跟踪与轮廓筛选的定位方法。实验结果表明,与传统QR码定位算法相比,该算法定位准确率提高了30%,且定位速度提升了17%,可见该定位算法能够很好地应用于QR码定位。
In order to solve the problem that QR code distortion will occur in QR code positioning or weaker robustness in rotation,a new QR code adaptation positioning algorithm is proposed in this paper.In the algorithm research process,we first use the adaptive threshold algorithm to solve the influence of uneven illumination.Based on this,we propose a positioning method based on contour tracking and contour filtering.The experimental results show that compared with the traditional QR code localization algorithm,the accuracy of the algorithm is improved by 30%,and the positioning speed is increased by 17%.It can be seen that the positioning algorithm can be well used for the positioning of the QR code.
作者
赵健雄
费树岷
ZHAO Jian-xiong;FEI Shu-min(Automated Institute,Southeast University,Nanjing 210096,China)
出处
《软件导刊》
2019年第10期86-89,共4页
Software Guide
关键词
QR码本地化
轮廓跟踪
回转
失真
localization of QR code
contour tracking
rotation
distortion
