基于改进梯度霍夫变换的QR码畸变校正方法  

QR Code Distortion Correction Based on Improved Gradient HT

作　　者：周洁静 蒋婷婷[1] Zhou Jiejing;Jiang Tingting(The 28th Research Institute of China Electronics Technology Group Corporation,Nanjing 210007,China)

机构地区：[1]中国电子科技集团公司第28研究所,南京210007

出　　处：《信息化研究》2020年第5期18-23,共6页INFORMATIZATION RESEARCH

摘　　要：QR码是一种二维条形码,存储相当复杂的大数据的同时可以快速解码。文章提出了一种新的失真校正方法,能够自适应地校正手机拍摄的失真QR码图像。首先,对QR码图像进行滤波;然后,对基于梯度的Hough变换(HT)进行改进以检测QR码符号的4个顶点;最后,利用透视投影变换和灰度插值对QR码图像进行处理。实验表明,该算法在各种采集情况下都能取得令人满意的结果。The QR code is a two-dimensional barcode which can be stored quite complex and large data and be decoded very fast.A new distortion correction method is proposed in this paper to correct distorted QR code images taken by mobile phones adaptively.Firstly,the QR code image is filtered.Then,the gradient-based Hough transform(HT)is modified to detect the four vertices of QR code.At last,the perspective transformation and gray level interpolation are performed.Experiments show that this algorithm can achieve satisfactory results under various acquisition situations.

关 键 词：快速响应代码 霍夫变换 透视变换 失真校正 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]