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基于图像准确处理的数字图像处理系统结构设计及其功能实现 被引量:1

Structural design and function realization of digital image processing system based on accurate image processing
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摘要 为了满足图像精确处理需求,利用现场可编程门列阵动态配置灵活性,采用高性能Cysclone系统芯片作为核心处理器,并配合1394总线链路层构建图像处理系统,实现图像数据采集和处理。系统方设计分为图像采集、存储、处理和传输等模块,先通过摄像头采集QR码图像,进行滤波等预处理工作,然后经定位、提取信息、检索纠错等得到字符信心。该系统采用图像处理技术,很好地解决了不同光照条件引起的识别不确定性,精确区分前景和背景,减少信息遗漏,设计硬件结构,提高系统速度和面积技能,优化系统硬件操作。在软件设计中,采用软核处理器,完整图像信息的提取。系统设计与传统二值化、滤波等检测方法相比,处理时间大大缩短,同时处理图像分辨率也得到提高。 In order to meet the precise image processing needs, the dynamic configuration flexibility of field-programmable gate arrays was adopted, high-performance Cysclone system chip was taken as the core processor, and an image processing sys- tem with the 1394 bus link layer was constructed for image data acquisition and proeessing. The system design is divided into several modules of image acquisition, storage number, processing and transmission. A camera is used to capture QR eode image to conduct filtering and preproeessing. The characters information is got by means of positioning, information extraction and er- ror correction. The system uses the image processing technology to solve the identification uncertainty caused by different light- ing eonditions, distinguish foreground and background precisely, reduce information loss, design the hardware structure, im- prove system speed and area skill, and optimize system hardware operation. In software design, the soft-core processor is used to extract the complete image information. Compared with traditional binarization, filtering and other detection methods, the pro- cessing time of the system is shortened, while the image resolution of the system is improved.
作者 何拥军
出处 《现代电子技术》 北大核心 2016年第22期97-99,共3页 Modern Electronics Technique
基金 国家自然科学基金资助项目(48371923)
关键词 图像处理 QR码 数字图像处理系统 结构设计 Image processing QR code digital image processing system structural design
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  • 1王冰,职秦川,张仲选,耿国华,周明全.灰度图像质心快速算法[J].计算机辅助设计与图形学学报,2004,16(10):1360-1365. 被引量:32
  • 2王国权,仲伟波.灰度图像增强算法的改进与实现研究[J].计算机应用研究,2004,21(12):175-176. 被引量:22
  • 3傅宇.机器视觉技术在农业生产自动化领域中应用研究[J].安徽农业科学,2006,34(15):3871-3872. 被引量:16
  • 4赵鹤芹.设计动态网站的最佳方案:Apache+PHP+MySQL[J].计算机工程与设计,2007,28(4):933-934. 被引量:106
  • 5陈垚光.精通Matlah GUI设计[M].北京:电子工业出版社,2008.
  • 6J Derganc, B Likar, R Bernard, Tomazevic D, & Pernus F. Real -time automated visual inspection of color tablets in pharmaceutical blisters[J]. Real-Time Imaging, 2003,9(2) : 113-124.
  • 7M Mozina, D Tomazevic, F Pernug, B Likar. Real-time image segmentation for visual inspection of pharmaceutical tablets [ J ]. Machine vision and applications, 2011,22( 1 ) :145-156.
  • 8N M Duong, M T Chew, S Demidenko, Q H Pham, D K Pham, M L Ooi, Y C Kuang. Vision inspection system for pharmaceuticals [ C ]. Sensors Applications Symposium ( SAS ), 2014 IEEE, 2014 : 201-206.
  • 9Z Chaczko, A Kale. Automated Tablet Quality Assurance and I- dentification for Hospital Pharmacies [ J ]. International Journal of Electronics and Telecommunications, 2011,57 ( 2 ) : 153-158.
  • 10M Mozina, D Tomazevic, F Pernus, B Likar. Automated visual in- spection of imprint quality of pharmaceutical tablets [ J ]. Machine vision and applications, 2013,24( 1 ) :63-73.

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