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高飞, 令狐乾锦, 葛一粟, 卢书芳, 肖刚. 基于位置判别的激光QR二维码定位方法[J]. 计算机辅助设计与图形学学报, 2017, 29(6): 1060-1067.
引用本文: 高飞, 令狐乾锦, 葛一粟, 卢书芳, 肖刚. 基于位置判别的激光QR二维码定位方法[J]. 计算机辅助设计与图形学学报, 2017, 29(6): 1060-1067.
Gao Fei, Linghu Qianjin, Ge Yisu, Lu Shufang, Xiao Gang. Location Method of Laser QR Code Based on Position Discrimination[J]. Journal of Computer-Aided Design & Computer Graphics, 2017, 29(6): 1060-1067.
Citation: Gao Fei, Linghu Qianjin, Ge Yisu, Lu Shufang, Xiao Gang. Location Method of Laser QR Code Based on Position Discrimination[J]. Journal of Computer-Aided Design & Computer Graphics, 2017, 29(6): 1060-1067.

基于位置判别的激光QR二维码定位方法

Location Method of Laser QR Code Based on Position Discrimination

  • 摘要: 针对金属件激光QR二维码常因磨损、腐蚀等致使位置探测图形特征不满足1:1:3:1:1,导致难以使用现有方法定位的问题,提出一种基于位置判别的激光QR二维码定位方法.首先利用双边滤波消除图像中的背景噪声,再结合数学形态学轮廓检测与最大连通区域方法完成了QR二维码的粗定位;其次采用骨架细化算法提取图像的骨架,并融合最小外接矩形和位置探测图形位置判别算法实现了QR二维码的精定位.实验结果表明,当传统方法无法对位置探测图形不完整的激光二维码进行定位时,该方法可有效地对二维码进行精确定位,具有更高的可靠性.

     

    Abstract: Laser QR code on metal parts is usually excessively etched, worn down or corroded, which leads to the difficulty of locating the code by using most current methods. To solve the problem, a location method of laser QR code based on position discrimination was proposed. Firstly, bilateral filtering was employed to filter the noise within the QR code image and the QR code area was roughly located through combining mathematical morphology algorithm and maximum connected region method. Secondly, the skeleton of the QR code was extracted by using skeleton algorithm, and then the QR code was exactly located by facilitating minimum enclosing rectangle method and algorithm of position discrimination for detection pattern of QR code position. Finally, the proposed method is verified to be more reliable for locating QR code on metal parts through comparing with traditional methods.

     

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