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直线参数检测的快速哈夫变换
引用本文:邱力为,宋子善,沈为群.直线参数检测的快速哈夫变换[J].北京航空航天大学学报,2003,29(8):741-744.
作者姓名:邱力为  宋子善  沈为群
作者单位:北京航空航天大学 自动化科学与电气工程学院, 北京 100083
摘    要:在直线参数检测的哈夫变换中,基于两点确定一条直线的几何原理,可以消除图像点与参数点对应关系中的不确定性,利用这个原理可缩小每个非零图像点对应的参数空间,减小每个非零图像点的计算量.同时将整幅图像分成小块表决,能大幅度减少哈夫变换的总计算量,而参数检测的精度保持不变.

关 键 词:模式识别  计算机视觉  哈夫变换
文章编号:1001-5965(2003)08-0741-04
收稿时间:2002-07-03
修稿时间:2002年7月3日

Kind of fast Hough transform used in line detection
Qiu Liwei,Song Zishan,Shen Weiqun.Kind of fast Hough transform used in line detection[J].Journal of Beijing University of Aeronautics and Astronautics,2003,29(8):741-744.
Authors:Qiu Liwei  Song Zishan  Shen Weiqun
Institution:School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
Abstract:Hough transform is a widely used algorithm in computer vision and pattern recognition. However, the tremendous computation required by Hough transform impedes it used in real-time applications. The standard Hough transform used only the information of a single non-zero pixel, which causes the huge computation. The relationship between two pixels is concerned in the presented scheme. A line parameter is obtained from the coordinates of two pixels, so the computation is deceased distinctly. The testing data shows that the fast algorithm is faster 10~100 times than the standard one in a same platform,while the precision is kept.
Keywords:pattern recognition  computer vision  Hough transform
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