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一种新的对随机Hough变换改进的检测圆的方法
引用本文:张兵权,王建峰,卢军.一种新的对随机Hough变换改进的检测圆的方法[J].计算机工程与应用,2006,42(18):53-54.
作者姓名:张兵权  王建峰  卢军
作者单位:1. 浙江大学数学系,杭州,310027;浙江工业大学之江学院理学系,杭州,310024
2. 浙江大学数学系,杭州,310027
3. 浙江工业大学之江学院理学系,杭州,310024
摘    要:从数字图像中检测出圆在计算机视觉中具有很重要的地位。随机Hough变换是检测圆的一种有效变换,但在处理复杂图像时,由于随机采样会引入大量的无效采样和积累。文章中提出一种在Teh-ChuanChenandKuo-LiangChung4]的改进算法基础上,对随机Hough变换改进的检测圆的方法。

关 键 词:图像处理  随机Hough变换(RHT)  圆检测  无效积累  窗口
文章编号:1002-8331-(2006)18-0053-02
收稿时间:2005-09
修稿时间:2005-09

An New Efficient Improved Randomized Algorithm for Detecting Circles
Zhang Bingquan,Wang Jianfeng,Lu Jun.An New Efficient Improved Randomized Algorithm for Detecting Circles[J].Computer Engineering and Applications,2006,42(18):53-54.
Authors:Zhang Bingquan  Wang Jianfeng  Lu Jun
Affiliation:1 Department of Mathematics, Zhejiang University, Hangzhou 310027; 2 Science Dpartment of Zhijiang College,Zhejiang University of Technology,Hangzhou 310024
Abstract:Detecting circles from a digital image is very important in computer vision.Randomized Hough transform is a well-known method for circle detection.But when dealing with complex image,the random sampling will bring lots of invalid samplings and accumulation.In this paper,we propose an efficient improved randomized algorithm based on the Teh-Chuan Chen and Kuo-Liang Chung algorithm for detecting circles.
Keywords:image process  randomized Hough transform(RHT)  circle detection  invalid accumulation  window
本文献已被 CNKI 维普 万方数据 等数据库收录!
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