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基于改进最小二乘的缺陷椭圆定位方法

何志强 曹彪 张立新

计算机与数字工程2017,Vol.45Issue(11):2113-2117,5.
计算机与数字工程2017,Vol.45Issue(11):2113-2117,5.DOI:10.3969/j.issn.1672-9722.2017.11.007

基于改进最小二乘的缺陷椭圆定位方法

A Defect Ellipse Locating Method Based on Least Squares

何志强 1曹彪 1张立新1

作者信息

  • 1. 海军航空工程学院基础实验部 烟台 264001
  • 折叠

摘要

Abstract

In this paper,an improved elliptic ellipse center extraction algorithm based on stochastic sampling consistency method is proposed,which is too sensitive to noise and has poor anti-jamming performance in typical ellipse center extraction algo-rithms such as centroid method,Hough transform method and least squares fitting method. Simulation results show that the proposed algorithm has higher accuracy and strong robustness compared with the least square method and the centroid method.

关键词

中心定位/椭圆拟合/最小二乘法/RANSAC

Key words

Key Word central location/ellipse fitting/least square method/RANSAC

分类

信息技术与安全科学

引用本文复制引用

何志强,曹彪,张立新..基于改进最小二乘的缺陷椭圆定位方法[J].计算机与数字工程,2017,45(11):2113-2117,5.

计算机与数字工程

OACSTPCD

1672-9722

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