上海交通大学学报

上海交通大学学报（自然版） ›› 2013, Vol. 47 ›› Issue (12): 1836-1841.

• 自动化技术、计算机技术 • 上一篇    下一篇

金属零件上二维条码高光区域的恢复

王佳婧1,2，张树生1，何卫平1
  

  1. （1. 西北工业大学 现代设计与集成制造重点实验室，西安 710072；2. 第二炮兵工程大学 教练团，西安 710025）
     
  • 收稿日期:2013-05-06 出版日期:2013-12-28 发布日期:2013-12-28
  • 基金资助:

    国家自然科学基金资助项目（50505039）, 国家高技术研究发展计划（863）项目（2007AA0407013）

2D Bar Code Recovery in Highlight Area of Metal Parts

WANG Jiajing1,2,ZHANG Shusheng1,HE Weiping1
  

  1. (1. Contemporary Key Laboratory of Design & Integrated Manufacturing Technology, Northwestern Polytechnical University, Xi’an 710072, China;
    2. Training Regiment, The Second Artillery Engineering University, Xi’an 710025, China)
  • Received:2013-05-06 Online:2013-12-28 Published:2013-12-28

摘要：

基于配套光源的优化，提出了基于随机共振算法的图像溢出信息恢复方法.该方法利用噪声激发饱和系统的随机共振，扩大输出图像的动态范围，挽回高光溢出的信息.分析了不同类型和不同强度的噪声对恢复信息可分辨性的影响.仿真结果表明，不同类型的噪声都有对应的特定强度，使系统输出信息的可分辨性达到极值.最后，通过局部过曝的实例，验证了基于随机共振的图像信息恢复方法能达到抑制高光和提高图像对比度的目的.
 
 

关键词: 直接零件标刻, Data Matrix码, 随机共振, 高光溢出, 信息恢复

Abstract:

For optimization of the matching light source, this paper proposed a novel information recovery method based on the theory of stochastic resonance. This technique takes the advantage of noise to enlarge the dynamic range of image sensor when specifically added noise synchronizes with the image sensor system to activate the phenomenon of stochastic resonance. It investigated different types and strengths of noises to show the effect of variant distributions on the quality of retrieved information. The simulation results show that different types of noises have a corresponding strength, which makes the separability of output information reach extreme values. The results of locally overexposed experiment are consistent with the theoretic analysis, which also indicate that the recovery method of 2D bar code based on stochastic resonance could suppress the high light and improve image contrast.
 

Key words: direct part marking, Data Matrix code, stochastic resonance, high light overflow, information recovery

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