摘要
椭圆检测是机器视觉和模式识别的基本任务。首先在椭圆中心初定位阶段,通过参数空间的少量投票,依据均值漂移技术获取粗略的椭圆中心,然后再由精提策略实现椭圆中心的精确像素级定位,并采用插值方法进一步获取椭圆中心亚像素坐标。仿真及真实图像的实验结果表明,所提出的方法同时具备了椭圆检测的鲁棒性和中心定位的精确性。
Ellipse detection is the basic task of machine vision and pattern recognition. The proposed algorithm in the early stages via the mean shift technique obtains a rough center of the ellipse through parameter space of a small amount of voting for the center of the ellipse. Then the accurate pixel-level center of the ellipse is obtained by refining strategies, and further in- terpolation method is used to get sub-pixel ellipse center coordinates. Experimental results for simulated and true image show that the proposed method not only achieves robust ellipse detection, but also receives the accurate center location.
出处
《光学技术》
CAS
CSCD
北大核心
2016年第2期141-145,共5页
Optical Technique
基金
国家重大科学仪器设备开发专项项目(2012YQ140032)
江苏省博士后科研资助计划(1402012B)
江苏大学高级专业人才科研启动基金(14JDG134)
