留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

振动环境下显示设备显示性能分析系统原型

侯阳 王全忠 赵歆波 马钟

侯阳, 王全忠, 赵歆波, 马钟. 振动环境下显示设备显示性能分析系统原型[J]. 机械科学与技术, 2013, 32(10): 1437-1440.
引用本文: 侯阳, 王全忠, 赵歆波, 马钟. 振动环境下显示设备显示性能分析系统原型[J]. 机械科学与技术, 2013, 32(10): 1437-1440.
Hou Yang, Wang Quanzhong, Zhao Xinbo, Ma Zhong. Prototype System for Objective Analysis of Display Performance of Image Display Device Under Vibration Environment[J]. Mechanical Science and Technology for Aerospace Engineering, 2013, 32(10): 1437-1440.
Citation: Hou Yang, Wang Quanzhong, Zhao Xinbo, Ma Zhong. Prototype System for Objective Analysis of Display Performance of Image Display Device Under Vibration Environment[J]. Mechanical Science and Technology for Aerospace Engineering, 2013, 32(10): 1437-1440.

振动环境下显示设备显示性能分析系统原型

基金项目: 

国家自然科学基金项目(61201319)

西北工业大学基础研究基金项目(JC20120205)

西北工业大学研究生创业种子基金项目(z2012137)资助

详细信息
    作者简介:

    侯阳(1988-),硕士研究生,研究方向为图像处理和视线跟踪,houyang20526@126.com;赵歆波(联系人),教授,博士生导师,xbozhao@nwpu.edu.cn

    侯阳(1988-),硕士研究生,研究方向为图像处理和视线跟踪,houyang20526@126.com;赵歆波(联系人),教授,博士生导师,xbozhao@nwpu.edu.cn

Prototype System for Objective Analysis of Display Performance of Image Display Device Under Vibration Environment

  • 摘要: 研究了在振动环境下,基于计算机视觉技术实现显示设备显示性能客观分析的方法。给出了系统的硬件组成与软件原型的总体结构,说明了硬件系统设计和设备选型的方法;阐述了视频运动补偿、图像中线检测与定位等关键技术的实现方法。软件模型由C++编程实现,实验结果表明该系统能够采集清晰的图像,能够实现亚像素级的目标图像检测分析,并输出检测结果。
  • [1] Halliwell N A,Hocknell A,Rothberg S J. On the measurementof angular vibration displacements: a laser tiltmeter[J]. Journalof Sound and Vibration,1997,208,(3):497~500
    [2] Wong W O,Chan K T. Quantitative vibration amplitude measure-ment with time-averaged digital speckle pattern interferometry[J].Optics and Laser Technology,1998,30(5):317~324
    [3] Olaszek P. Investigation of the dynamic characteristic of bridgestructuresusing a computer vision method[J]. Measurement,1999,25:227~236
    [4] Tigges M,et al. Imaging of vocal fold vibration by digital multi-plane kymography[J]. Computerized Medical Imaging andGraphics,1999,23:323~330
    [5] 白顺科,汪凤泉. 振幅测量的平均成像法[J]. 工程力学,1999,16(6):107~112
    [6] Ma Z,Zhao X B,Zhang K. A robust background registrationmethod for moving camera[A]. 2010 Second InternationalConference on Future Computer and Communication[C],Shanghai,China,Volume Ⅲ,2010,632~635
    [7] Bay H,Tuytelaars T,van Cool L J. SURF: speeded up robustfeatures[A]. European Conference on Computer Vision[C],2006,1:44~417
    [8] Lowe D G. Distinctive image features from scale-invariant key-points[J]. International Journal of Computer Vision,2004,60(2)
    [9] Mikolajczyk K,Schmid C. A performance evaluation of local de-scriptors[J]. IEEE Transaction on Pattern Analysis and Ma-chine Intelligence,2005,27(10)
    [10] de Berg M,van Kreveld M,Overmars M. ComputationalGeometry: Algorithms and Applications[M]. 3rd Edition,2008:99~101
    [11] Ma Z,Zhao X B,Hou Y,et al. An approach to extract straightlines with subpixel accuracy[A]. 2011 Sino-foreign-inter-change Workshop on Intelligent Science and Intelligent DataEngineering[C],Xi'an,2011
    [12] Hough P V C. Machine analysis of bubble chamber pictures[A].Proceedings of the International Conference on High EnergyAccelerators and Instrumentation[C],1959:554~556
    [13] Duda R O,Hart P E. Use of the hough transformation to detectlines and curves in pictures[J]. Communications of the Asso-ciation for Computing Machinery,1972,(15):11~15
    [14] Matas J,Galambos C,Kittler J. Robust detection of lines using the progressive probabilistic hough transform[J]. ComputerVision and Image Understanding,2000,78(1):119~137
  • 加载中
计量
  • 文章访问数:  177
  • HTML全文浏览量:  15
  • PDF下载量:  2
  • 被引次数: 0
出版历程
  • 收稿日期:  2012-04-07
  • 刊出日期:  2015-06-10

目录

    /

    返回文章
    返回