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非接触式触摸屏系统的设计 被引量:1

Design of non-contact touch screen system
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摘要 针对目前触摸屏必须接触式控制的缺陷,提出了一种基于图像处理技术的新型触摸屏系统。该系统以微软VX—6000USB2.0摄像头为图像传感器,由PC机采集图像序列,识别和跟踪定位激光光斑,并对用户的指点控制信息做出相应反应。阐述了该系统结构及定位原理,使用基于OpenCV(open source computer vision library)的图像处理算法辅助开发其软件系统。提出一种基于边界修复的图像二次校正法,通过对训练样本的测量发现,系统拥有很好的指点精度。实验结果表明,所设计触摸屏系统能够初步实现非接触式指点的要求,为大屏幕挂壁式非接触式触摸屏系统的研究提供了有效的思路。 When the current touch screen must be contacted control, it proposes a new touch screen system based on the image processing technology.The system introduces Microsoft VX-6000 USB2.0 camera as its image sensor, gathers image sequences, identifies and positions the laser spot,and responds with users' pointing information.It describes the architecture of the system, a software for positioning,and uses image processing algorithm based on OpenCV(open source computer vision library) to help developing its software system.It proposes an image secondary correction method based on edge-restoration.By training samples, it finds that the system has excellent accuracy.The experimental results indicate that the system can realize the non-contact requirement and provide an effective thought for the study of non-contact large screen wall touch screen system.
出处 《计算机工程与应用》 CSCD 北大核心 2011年第32期71-74,共4页 Computer Engineering and Applications
基金 四川省应用基础项目(No.07JY029-087)
关键词 触摸屏 非接触式 激光光斑定位 图像校正 touch screen non-contact position the laser spot image correction
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  • 1许志祥,卢宏,沈剑.摄像机定标及其误差分析[J].自动化学报,1993,19(1):114-117. 被引量:3
  • 2邢丽娟,杨世忠.触摸屏的性能及应用[J].今日电子,2006(7):71-73. 被引量:2
  • 3CIARDIELLO G, SCAFUR G, DEGRANDI M, et al. An Experimental System for Office Document Handling and Text Recognition[A]. Proceedings of Ninth International Conference on Pattern Recognition[C],1998.739-743.
  • 4BAIRD HS. The Skew angle of printed documents[A].SPSE 40th Annual Conference and Symposium on hybrid Imaging System[C], 1987. 739-743.
  • 5ILLINGWORTH J, KITTLER J. The adaptive Hough Transform[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,1987,9(5): 691-698.
  • 6LI H, LAVIN MA, Le MASTER RJ. Fast Hough Transform[R]. Research Report RC11080(#49754),IBM T.J.Watson Research Center,1985.
  • 7RISSE T. Hough Transform for Line Recognition: Complexity of Evidence Accumulation and Cluster Detection[J]. Computer Vision,Graphics and Image Processing, 1989,46(3): 327-345.
  • 8OKUN O, YU Y, ROBUST M. Text Detection from Binarized Document Images[A]. Proceedings of the 16th International Conference on Pattern Recognition(ICPR2002)[C], 2002.61-64.
  • 9Wang L L, Tsai W H. Camera calibration lines for 3D computer vision [ J ] . IEEE Transactions on Pattern Analysis Machine Intelligence, 1991,13(4) :370 ~ 376.
  • 10Chen C H. Neural networks in pattern recognition and their applications[ M]. Singapore: World Scientific ,1991.

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