计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (29): 192-195.DOI: 10.3778/j.issn.1002-8331.2010.29.056

• 图形、图像、模式识别 • 上一篇    下一篇

二次Radon变换在高密度矩阵码识别中的应用

胡东红1,2,马亲伟1,汪 浩1,张 玲1,王 莹1   

  1. 1.湖北大学 物理学与电子技术学院,武汉 430062
    2.华中科技大学 数控中心,武汉 430074
  • 收稿日期:2009-03-09 修回日期:2009-04-27 出版日期:2010-10-11 发布日期:2010-10-11
  • 通讯作者: 胡东红

Application of high density to matrix symbology based on quadratic Radon transformation

HU Dong-hong1,2,MA Qin-wei1,WANG Hao1,ZHANG Ling1,WANG Ying1   

  1. 1.School of Physics and Electronic Technology,Hubei University,Wuhan 430062,China
    2.Center of Numerical Control,Huazhong University of Science and Technology,Wuhan 430074,China
  • Received:2009-03-09 Revised:2009-04-27 Online:2010-10-11 Published:2010-10-11
  • Contact: HU Dong-hong

摘要: 根据Radon变换的基本思想方法,提出了一种基于行差列差的二次Radon变换算法,采用该方法可以对矩阵式二维条码即使条码的模块仅占有2.3像素的情况下进行精确快速的识别,该算法主要用于高密度(亚像素级)的矩阵式二维条码QR Code,Data Matrix,Code93等二维条码的识别。

关键词: 图像处理, Radon变换, 行差列差, 二维条码

Abstract: According to the fundament of Radon transform,a new algorithm based on the quadratic transformation of row-difference and column-difference is proposed.By adopting this algorithm,the module of two-dimensional symbology can be recognized rapidly and accurately,even though the minimum module of the barcode is about only 2.3 pixels in size.This algorithm can be used in the two-dimensional matrix symbology with the level of high density(subpixel),such as QR Code,Data Matrix,and Code93.

Key words: image processing, Radon transform, row-difference and column-difference, two-dimensional symbology

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