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一种新的对随机Hough变换改进的检测圆的方法
An New Efficient Improved Randomized Algorithm for Detecting Circles
【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-LiangChung[4]的改进算法基础上,对随机Hough变换改进的检测圆的方法。
【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.
【关键词】 图像处理;
随机Hough变换(RHT);
圆检测;
无效积累;
窗口;
【Key words】 image process; randomized Hough transform(RHT); circle detection; invalid accumulation; window;
【Key words】 image process; randomized Hough transform(RHT); circle detection; invalid accumulation; window;
- 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2006年18期
- 【分类号】TP391.41
- 【被引频次】27
- 【下载频次】474