An effective voting method for circle detection
An effective voting method for circle detection
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DOI：
10.1016/j.patrec.2004.09.037
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发表时间：
2005-01
期刊：
影响因子：
--
通讯作者：
Shih-hsuan Chiu;Jiun-Jian Liaw
中科院分区：
文献类型：
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作者：
Shih-hsuan Chiu;Jiun-Jian Liaw
标准霍夫变换（SHT）的缺点是计算量大和存储需求大。此外，SHT的投票方法对影响模式检测的准确性起着重要作用。本文提出了一种新的投票方法来减少圆检测的 SHT 的计算和存储需求。该方法通过让每个像素仅属于一个候选圆参数来提高圆检测的效率。合成图像和真实图像用于显示所提出方法的能力。
The drawbacks of the standard Hough transform (SHT) are the large computation and the large storage requirement. Moreover, the voting method of SHT plays an important role to affect the pattern detection accuracy. In this paper, a new voting method is proposed to reduce the computation and the storage requirements of SHT for circle detection. This method improves the efficiency of circle detection by letting each pixel only belong to one candidate of circle parameters. Synthetic images and real images are used to show the capability of the proposed method.