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基于局部搜索的多椭圆随机检测算法 被引量:4

Randomized Multi-ellipse Detection Method Based on Local Search
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摘要 随机采样2个图像点后再分别在这2点相关的3条线段上搜索1个图像点。利用采样的2个图像点和搜索的3个图像点决定侯选椭圆。当采样和搜索图像点时,通过识别和剔除孤立、半连续噪声和不在同一个真椭圆上的图像点,显著地减少了无效采样及无效计算。在确认真椭圆时,文中方法将椭圆变换成对应圆,通过确认真圆来确认真椭圆并直接控制椭圆的检测精度。数值实验结果表明:该文算法在检测多个椭圆时的检测效率和鲁棒性等方面都具有良好的性能。 After two edge points are picked randomly search an edge on three line segments regarding sampling two edge points respectively.A possible ellipse is determined with two sampling points and three searching points.When sampling two edge points searching three edge points,isolated noises,half-link noises and edge points not being on the same that true ellipse are recognized and eliminated,as decrease significantly invalid sample and invalid computation. After founding possible ellipse,this method transforms the possible ellipse into corresponding circle and applies an evidence-collecting process to determine whether possible ellipse is true and to control directly detection accuracy of the ellipse.The experimental results demonstrate that the approach can perform better than other algorithms of multiellipses detection on speed and robustness.
出处 《计算机工程与应用》 CSCD 北大核心 2006年第12期9-11,37,共4页 Computer Engineering and Applications
基金 国家自然科学基金资助项目(编号:50575031)
关键词 广义Hough 变换 多椭圆检测 直线拟合 generalized hough transform,multi-circle detection,line fitting
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