Prototype System for Objective Analysis of Display Performance of Image Display Device Under Vibration Environment
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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。Abstract: Based on computer vision technology,an automatic detection and analysis of the display performance of image display device under the vibrational environment was presented.Firstly,we presented the overall structure of the hardware components and software of the prototype and described the design of the hardware system and the selection of the hardware devices type.Then,we focused on the key algorithms of video motion compensation under camera-moving conditions,detecting and extracting the straight line with sub-pixel accuracy.The software prototype was developed with C ++.The experimental results showed that the system can capture images steadily,achieve the sub-pixel analysis of images and output detection results.
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Key words:
- data processing /
- data reduction display devices /
- hardware /
- high speed cameras
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[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 -

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