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基于CMOS图像传感器的亮度测量系统设计 被引量:5

The design of luminance measurement system based on CMOS image sensor
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摘要 对于道路照明,路面亮度分布的均匀性是为机动车驾驶员提供安全舒适的视觉条件的保证。针对路面亮度分布检测的需求,从光度学原理出发,提出了一种基于CMOS图像传感器的亮度分布测量系统。通过CMOS图像传感器OV7670采集图像,以STM32作为微控制器对图像进行处理并计算路面亮度及亮度分布。通过CMOS图像传感器测量亮度原理,对图像采集处理的各部分电路及系统软件进行了详细的分析和说明。通过对参数进行标定,完成了对路面亮度分布的检测,能够满足系统的设计要求。 For road lighting,surface brightness uniformity is the guarantee to provide a safe and comfortable viewing conditions for motor vehicle drivers.In view of the road surface brightness distribution testing requirements,from the principle of photometry,puts forward a brightness distribution measurement system based on CMOS image sensor.By CMOS image sensor OV7670 to capture im-ages,and as with STM32 microcontroller for image processing and calculating surface brightness and brightness distribution.In the discussion of the principle by measuring the brightness with CMOS image sensor,for all the parts of the image acquisition and pro-cessing circuit and system software has carried on the detailed analysis and explanation.Through the parameter calibration,com-pletes to detect road surface brightness distribution,and the design meets requirements of the system.
出处 《电子技术应用》 北大核心 2016年第1期48-50,57,共4页 Application of Electronic Technique
基金 陕西省科技计划项目(2014K07-17) 西安市科技计划项目(CXY1436(1))
关键词 道路照明 亮度分布 图像处理 OV7670 CMOS图像传感器 road lighting illuminance distribution image processing OV7670 CMOS image sensor
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  • 1陈跃庭,许东晖,李奇.基于熵的图像稳定程度描述方法[J].仪器仪表学报,2006,27(z3):2121-2122. 被引量:5
  • 2邾继贵,张国全,唐大林,李艳军.光学3D坐标测量技术研究[J].中国计量学院学报,2005,16(2):100-102. 被引量:7
  • 3黄磊,林祖伦,董戴,马亚林,赵秋玲.新型彩色LCOS头盔微显示器光学系统[J].电子器件,2005,28(3):482-485. 被引量:3
  • 4孙春雷,倪旭翔,陆祖康.基于USB总线的LCOS数码彩扩仪驱动设计[J].光学仪器,2007,29(1):37-41. 被引量:1
  • 5Maser K R. Computational techniques for automating visual inspection [ R ]. Cambridge.. Massachusetts Institute of Technology, 1987.
  • 6Koutsopoulos H N, Sanhouri I E, Downey A B. Analysis of segmentation algorithms for pavement distress images [J]. Journal of Transportation Engineering, 1993,119 (6) : 868.
  • 7申红平.应用计算机视觉进行沥青路面开裂识别的研究[D].上海:同济大学交通运输工程学院,1994.
  • 8Cheng H D, Miyojim M. Novel system for automatic pavement distress detection [J]. Journal of Computing in Civil Engineering, 1998,12 (3) : 145.
  • 9Koutsopoulos H N, Downey A B. Primitive-based classification of pavement cracking images [J]. Journal of Transportation Engineering, 1993,119 (3) : 402.
  • 10KAM Z, JONES M O, CHEN H, et al. Design and construction of an optimal illumination system for quantitative wide-field multi-dimensional microscopy [ J ]. Bioimaging, 1993,1:71-81.

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