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改进的Hough变换在多传感器数据融合中的应用 被引量:2

Application of Improved Hough Transformation in Multisensor Data Fusion
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摘要 提出用一种改进的Hough变换来解决多传感器数据融合的问题。与多传感器数据融合中常用的统计或几何方法相比,该方法具有计算速度快、存储要求小和容易实施等优点。简要分析了该方法和数据融合的几何方法之间内在的联系。 An improved Hough Transformation to solve the multisensor data fusion problem is presented.AScompared to the usual statistical and geometric approaches in multisensor data fusion,the proposed methedis of practical importance since it is very simple,fast and easy to implement.The inherent relation betweenthe proposed and the geometric approaches in multisensor data fusion is analyzed also.
作者 张鸿宾
出处 《高技术通讯》 CAS CSCD 1995年第8期9-13,共5页 Chinese High Technology Letters
基金 863计划资助项目
关键词 传感器 数据融合 HOUGH变换 移动机器人 机器人 Multisensor data fusion,Hough transformation,Mobile robot
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同被引文献16

  • 1张华军,张义顺,李德元,高峰.面阵CCD摄像机对TIG焊焊缝特征的识别[J].沈阳工业大学学报,2004,26(4):453-456. 被引量:5
  • 2杜全营,王伟,王建军,陈善本.铝合金钨极氩弧焊熔池图像处理[J].上海交通大学学报,2005,39(7):1055-1057. 被引量:9
  • 3谢志孟,高向东.基于Canny算子的焊缝图像边缘提取技术[J].焊接学报,2006,27(1):29-32. 被引量:37
  • 4陈崚,陈云霞.改进的Hough变换及其并行计算[J].电子学报,1996,24(10):111-114. 被引量:7
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  • 6高隽.基于神经网络的形状识剐系统及优化.1997中国神经计算科学大会(CCNS’9 7).北京:人民邮电出版社,1997,869-873.
  • 7McVey,E.S., et. al. Artificial neural networks implementation of the Hough transform. Proceedings of the 23rd Asilomar Conference on Signals, Systems and Comp. , 1989,1 : 128-132.
  • 8Chan C K, Sandler M B. A neural network shape recognition system with Hough transform input feature space. Proceedings of the 4th Internation Conf. on Image Processing and its Application, Netherlands, 1992:197-200.
  • 9Howell M N, et al. On the connectionist implementation of the Hough transform. Proceedings of the International Conf. on Image Processing, and its Application, Maastricht, Netherlands,1992:234-237.
  • 10Wang j j, Lin t, Chen s b. Obtianing weld pool vision information during aluminium alloy TIG welding[J]. Int J Adv Mannf Technol,2005,26:219-227.

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