基于图像分解和DM6437的嵌入式车牌定位系统
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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.
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.
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.
引文
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[15]贾晓丹,李文举,王海姣.一种新的基于Radon变换的车牌倾斜校正方法[J].计算机工程与应用,2008,44(3):245-248.
[16]吴丽丽,余春艳.基于Sobel算子和Radon变换的车牌倾斜校正方法[J].计算机应用,2013,33(s1):220-222.
[17]余福荣,罗海波,胡宇,等.基于DSP处理系统的多路数据传输方法与实现[J].电子技术应用,2014,4(4):25-28.
[18]施白雪,陈芬,张陈梅,等.基于TI DM6437的视频图像增强算法实现[J].微型机与应用,2014(7):44-47.
[19] AZAM S,ISLAM M M. Automatic license plate detection in hazardous condition[J]. Journal of visual communication and image representation,2016,36:172-186.
[2] ASHTARI A H,NORDIN M J,FATHY M. An iranian license plate recognition system based on color features[J]. IEEE transactions on intelligent transportation systems,2014,15(4):1690-1705.
[3]郑成勇.一种RGB颜色空间中的车牌定位新方法[J].中国图象图形学报,2010,15(11):1623-1628.
[4] WANG A L,LIU X S,HAN Y H,et al. License plate location algorithm based on edge detection and morphology[C]∥20127th International Forum on Strategic Technology. Korea,2012:1-4.
[5] HONGPING H,YANPING B. A kind of license plate location based on mathematical morphology and edge detection[C]∥Electronic and Mechanical Engineering and Information Technology(EMEIT). Harbin,2011,5:2291-2294.
[6]郭新,徐明,张众.基于谱聚类的边缘检测算法[J].郑州大学学报(理学版),2018,50(3):83-86.
[7] DEB K,CHAE H U,JO K H. Vehicle license plate detection method based on sliding concentric windows and histogram[J].Journal of computers,2009,4(8):771-777.
[8]丁亚男.基于图像分解的车牌定位算法[J].电子科技,2014,27(1):42-44.
[9]丁亚男.基于图像结构纹理分解的车牌定位方法研究[D].西安:西安电子科技大学,2014.
[10] VESE L A,OSHER S J. Image denoising and decomposition with total variation minimization and oscillatory functions[J].Journal of mathematical imaging and vision,2004,20(1/2):7-18.
[11] OSHER S,SOLA,VESE L. Image decomposition and restoration using total variation minimization and the H[J]. Multiscale modeling and simulation,2003,1(3):349-370.
[12] BUADES A,LE T M,MOREL J M,et al. Fast cartoon+texture image filters[J]. IEEE transactions on image processing,2010,19(8):1978-1986.
[13] ZHAO C P,FENG X C,WANG W W,et al. A cartoon-texture decomposition based multiplicative noise removal method[J].Mathematical problems in engineering,2016:5130346. http:∥dx. doi. org/10. 1155/2016/5130346.
[14] COMBETTES P L,PESQUET J C. Proximal splitting methods in signal processing[M]. New York:Springer,2011.
[15]贾晓丹,李文举,王海姣.一种新的基于Radon变换的车牌倾斜校正方法[J].计算机工程与应用,2008,44(3):245-248.
[16]吴丽丽,余春艳.基于Sobel算子和Radon变换的车牌倾斜校正方法[J].计算机应用,2013,33(s1):220-222.
[17]余福荣,罗海波,胡宇,等.基于DSP处理系统的多路数据传输方法与实现[J].电子技术应用,2014,4(4):25-28.
[18]施白雪,陈芬,张陈梅,等.基于TI DM6437的视频图像增强算法实现[J].微型机与应用,2014(7):44-47.
[19] AZAM S,ISLAM M M. Automatic license plate detection in hazardous condition[J]. Journal of visual communication and image representation,2016,36:172-186.
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