污染及多视角下DataMatrix码精确定位  

Accurate Location of Polluted DataMatrix Code from Multiple Views

作　　者：王伟[1] 何卫平[1] 雷蕾[1] 郭改放[1] 牛晋波[1] 

机构地区：[1]西北工业大学现代设计与集成制造技术教育部重点实验室,西安710072

出　　处：《计算机辅助设计与图形学学报》2013年第9期1345-1353,共9页Journal of Computer-Aided Design & Computer Graphics

基　　金：国家自然科学基金(51275419);国防基础科研项目;西北工业大学研究生创业种子基金(Z2012035)

摘　　要：针对现有算法对同时存在污染与透视形变的DataMatrix(DM)码定位困难的问题,根据Hough域能够突显直线的特性,提出一种基于Hough变换域提取最佳边缘组合的算法.首先利用DM码的主方向性将目标边缘点从图像域快速变换到Hough域;然后基于先验规则滤除大部分非边界点,得到候选边界点并进行有效组合;最后建立多视角下DM码内部边缘在Hough域中分布模型并提取特征,将对应最大特征值的边界组合作为最终定位结果.实验结果证明,与传统的二维条码定位算法相比,文中算法对于遭受污染及存在透视形变DM码的精确定位具有更高的鲁棒性与适应性.Aiming at detection challenges of contaminated DataMatrix （DM） code coexisted with perspective distortion, in this paper we presents an extracting of best edges combination approach based on Hough transform domain in which linear characteristic is embodied. Firstly, marginal points＇ transformation from image to Hough domain is performed fleetly using principle direction of DM code. Afterwards, we are able to obtain the valid combination of candidate marginal points after prior rules- based filtering of non-marginal points. Finally, a distribution model of inside edges of DM code in multi-perspective is build, thus extracting features, and the edges combination with largest eigenvalue is estimated as an ultimate result. The experimental results demonstrate the greater robustness and flexibility of our proposed approach to accurate detection of Data Matrix with contamination and perspective distortion, compared with traditional methods.

关 键 词：污染二维码 透视形变 精确定位 快速HOUGH变换 Hough域特征 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]