计算机科学 ›› 2014, Vol. 41 ›› Issue (Z11): 88-90.

• 模式识别与图像处理 • 上一篇    下一篇

基于代数距离的椭圆拟合的优化及应用研究

崔家礼,宫贺,王一丁,贾瑞明,肖珂   

  1. 北方工业大学信息工程学院 北京100144;北方工业大学信息工程学院 北京100144;北方工业大学信息工程学院 北京100144;北方工业大学信息工程学院 北京100144;北方工业大学信息工程学院 北京100144
  • 出版日期:2018-11-14 发布日期:2018-11-14

Optimization and Research on Ellipse Fitting and Application Based on Algebraic Distance

CUI Jia-li,GONG He,WANG Yi-ding,JIA Rui-ming and XIAO Ke   

  • Online:2018-11-14 Published:2018-11-14

摘要: 鉴于传统的椭圆拟合算法容易受噪声的影响,本文提出了一种基于代数、几何距离和RANSAC算法的最小平方中值的椭圆拟合方法。方法先采用线性变换对原始数据进行预处理,在得到处理后的离散点后,最小化椭圆和离散点之间的欧氏距离,采用五边形的方法对筛选出的不同点集进行测试,最后确定出椭圆的5个参数,拟合出最终的椭圆图形。仿真实验和实际图像的拟合结果表明,方法可以快速地对星体进行拟合和识别,对噪声具有一定的抵抗力, 具有良好的准确性和鲁棒性。

关键词: 椭圆拟合,几何距离,平方中值,星体识别

Abstract: Considering of the fact that sample points are easily affected by noise in a traditional ellipse fitting algorithm,the ellipse fitting approach of the least median square was proposed in this paper with the foundation of algebraic,geometric distance and RANSAC algorithm (random sample consensus).Linear transformation on the original data is adopted,and then many tests of selected different points from the painted pentagon are performed with the help of the minimum Euclidean distance between the fitting ellipse and boundary points.In the end,five parameters of the ellipse are obtained and the final ellipse is fitted.The experimental results on simulated and actual images show that the algorithm has good accuracy,robustness and small time complexity;in the meantime,it can correctly fit and recognize the planets.

Key words: Ellipse fitting,Geometric distance,Median square,Planet recognition

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