A Novel Circle Detector Based on Sub-image Point Pairs

摘要：

In this paper a novel circle detector that can be used in real image processing is proposed.Since the drawbacks of standard Hough transform (SHT)and other circle detection methods such as least square method require large computation and the large storage,the new method is proposed to reduce computation cost and storage requirement.First,edge image is divided into several sub-images by the properties of circle,and then point pairs are chosen from the sub-images to calculate the parameters of circles.Second a data merging method is used to process the parameters.At last,both synthetic and real images are processed with the proposed method,the experimental results show that the proposed detector is capable of detecting circle features with superior accuracy under various image conditions.

作者: Guodong Chen Junhong Ji Lining Sun

作者单位: State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin,Heilongjiang Province,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 661-666

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）