计算机科学 ›› 2013, Vol. 40 ›› Issue (Z11): 357-358.

• 数字信息处理 • 上一篇    下一篇

航空信息系统中基于CPU&GPU结构的条码识别技术的研究

王鹏,刘山杉   

  1. 天津大学管理学院 天津300192;军事交通学院汽车指挥系 天津300161
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国防基金项目:航空应急输送保障基地建设(BLL13L018)资助

Research of Barcode Recognition Technology Based on CPU&GPU in Aviation Information System

WANG Peng and LIU Shan-shan   

  • Online:2018-11-16 Published:2018-11-16

摘要: 针对当前航空信息传递过程中图像摄入模式的条码识别系统在高分辨率采集图像下识别速度较慢的问题,提出了一种新的基于CPU+GPU并行处理的条码识别系统架构,并给出了系统的设计方案。最后,研究了识别系统中图像噪声处理的关键技术,并讨论了适于在GPU上运算的QNLM滤波算法,不仅较好地解决了处理速度问题,而且验证了该系统的可行性。

关键词: QR码,CPU&GPU,图像处理,NLM

Abstract: For the low speed recognition of barcode recognition system in high-resolution image,which based on image acquisition in aviation information system,this paper proposed a new kind of barcode recognition system structure which based on GPU & CPU parallel processing,and presented the solution of the system.At last,investigated critical technology of image noise processing in recognition system and discussed the QNLM filter arithmetic which was suitable for operating on GPU.The method not only made the processing speed faster,but also had been verified feasible.

Key words: QR Barcode,CPU&GPU,Image processing,NLM

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