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基于图像分解和DM6437的嵌入式车牌定位系统

Embedded System of Vehicle License Plate Location Based on Image Decomposition and DM6437

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【作者】 王应军赵晨萍方惠敏

【Author】 WANG Yingjun;ZHAO Chenping;FANG Huimin;School of Information Engineering,Henan Institute of Science and Technology;School of Mathematical Science,Henan Institute of Science and Technology;Journal Editorial Department,Zhengzhou University;

【通讯作者】 方惠敏;

【机构】 河南科技学院信息工程学院河南科技学院数学科学学院郑州大学学报编辑部

【摘要】 针对目前国内车牌定位系统易受背景干扰和定位准确率有待提高等问题,基于图像分解方法和DM6437DSP硬件平台,设计了一种嵌入式车牌定位系统.通过CCD摄像机和TVP5146视频解码芯片完成图像信息的采集,DM6437实现算法处理和数据传输等任务,并引入图像分解改进车牌定位算法.实验结果表明,图像分解方法能够有效去除车辆图像背景中的无用信息,进而提高车牌定位的准确率.基于DSP硬件平台的定位系统体积小,运行稳定,有较高的应用推广价值.

【Abstract】 Most of the vehicle license plate location systems were sensible to background interference,and the location accuracy was limited. To alleviate these problems,an embedded system of vehicle license plate location was designed based on image decomposition algorithm and DM6437 DSP. The system could capture the image information of the vehicle license plate by means of CCD camera and video decoder chip TVP5146,process algorithm operation,and realize transmission tasks by DM6437. And it could improve the location algorithm by incorporating image decomposition. The experimental results confirmed that the image decomposition could effectively remove the useless information in the background and improve the locating accuracy. The system was small in volume,stable in performance,and was worthy of promotion and application.

【基金】 国家自然科学基金项目(31501060);河南省高等学校重点科研项目(19A110015)
  • 【文献出处】 郑州大学学报(理学版) ,Journal of Zhengzhou University(Natural Science Edition) , 编辑部邮箱 ,2019年01期
  • 【分类号】U495;TP391.41
  • 【下载频次】128
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