Wang Gangyi, Ren Guanghui, Wu Zhilu, Zhao Yaqin, Jiang Lihui
School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, Heilongjiang 150001, China.
ScientificWorldJournal. 2014 Mar 23;2014:481312. doi: 10.1155/2014/481312. eCollection 2014.
A fast and robust ellipse-detection method based on sorted merging is proposed in this paper. This method first represents the edge bitmap approximately with a set of line segments and then gradually merges the line segments into elliptical arcs and ellipses. To achieve high accuracy, a sorted merging strategy is proposed: the merging degrees of line segments/elliptical arcs are estimated, and line segments/elliptical arcs are merged in descending order of the merging degrees, which significantly improves the merging accuracy. During the merging process, multiple properties of ellipses are utilized to filter line segment/elliptical arc pairs, making the method very efficient. In addition, an ellipse-fitting method is proposed that restricts the maximum ratio of the semimajor axis and the semiminor axis, further improving the merging accuracy. Experimental results indicate that the proposed method is robust to outliers, noise, and partial occlusion and is fast enough for real-time applications.
本文提出了一种基于排序合并的快速且鲁棒的椭圆检测方法。该方法首先用一组线段近似表示边缘位图,然后逐步将线段合并为椭圆弧和椭圆。为了实现高精度,提出了一种排序合并策略:估计线段/椭圆弧的合并度,并按合并度降序合并线段/椭圆弧,这显著提高了合并精度。在合并过程中,利用椭圆的多个属性来过滤线段/椭圆弧对,使该方法非常高效。此外,还提出了一种限制长半轴与短半轴最大比值的椭圆拟合方法,进一步提高了合并精度。实验结果表明,该方法对离群值、噪声和部分遮挡具有鲁棒性,并且对于实时应用来说足够快。