数据采集与处理2018，Vol.33Issue(1)：144-150,7.DOI:10.16337/j.1004-9037.2018.01.016
结合多阶段优化的圆检测算法
Multi-stage Optimized Algorithm for Circle Detection
摘要
Abstract
As a basic and fundamental issue in computer vision area,many algorithms have been pro-posed to address the issue of circle detection,such as Hough transform,randomized Hough trans-form,randomized circle detection and so on.However,the low efficiency of these methods makes them hard to be used in complicated situations or conditions that require much higher circle detection speed.T o im prove the efficiency of circle detection,this paper analyzes three stages,including the se-lection of sampling points,the determination of candidate circle and the confirmation of true circle. Combined with the optimization of these three stages,a circle detection algorithm with multi-stage optimization is proposed.Experimental results of synthetic images and real images indicate that the proposed algorithm has faster detection speed compared with other methods,and has a high detection accuracy and strong robustness.关键词
圆检测/多阶段优化/采样点/候选圆Key words
circle detection/multi-stage optimization/sampling point/candidate circle分类
信息技术与安全科学引用本文复制引用
蒋联源,王智文,李春贵,孔凡福,邓向姣..结合多阶段优化的圆检测算法[J].数据采集与处理,2018,33(1):144-150,7.基金项目
国家自然科学基金(61751213 （）
61462008)资助项目 （）
广西省自然科学基金(2016GXNSFBA380081)资助项目 （2016GXNSFBA380081）
广西教育厅科研基金(KY2016YB256,KY2016LX172)资助项目 （KY2016YB256,KY2016LX172）
广西高校工业过程智能控制技术重点实验室主任基金(IPICT-2016-03)资助项目 （IPICT-2016-03）
柳州市科学研究与技术开发计划(2016C050205)资助项目. （2016C050205）
