计算机与数字工程2017，Vol.45Issue(8)：1652-1655,1669,5.DOI:10.3969/j.issn.1672-9722.2017.08.041
基于二维卡尔曼滤波与最小二乘法的目标定位算法
Circle Positioning Algorithm Based on 2D Kalman Filtering and Least Square Method
马羽 1高蕾1
作者信息
- 1. 平顶山教育学院计算机系 平顶山 467000
- 折叠
摘要
Abstract
In order to solve the current find circle algorithm in dealing with noise and weak target feature,there can be no ac-curately find the target circle,a circle algorithm for prospecting based on Kalman filtering and least squares method is presented in this paper. First of all,based on one-dimensional Kalman filter,and the two-dimensional image of Kalman filter,the image noise is filtered out,the contour extraction of the target circle is completed. Then the least square method is let into,regression equation of a circle is established,target circle contour is fitted out,the position of the center of a circle with radius circle target search is cal-culated. Finally,the programming of the Kalman image filters and least squares fitting are integrated into the circle algorithm. The experimental results show that compared with the traditional algorithm,the algorithm has a higher accuracy of circle finding in the face of more noise interference and the feature of the target circle is not obvious.关键词
卡尔曼滤波/最小二乘法/圆目标定位/图像噪声/回归圆方程Key words
Kalman filter/least square method/circle target location/image noise/regression equation分类
信息技术与安全科学引用本文复制引用
马羽,高蕾..基于二维卡尔曼滤波与最小二乘法的目标定位算法[J].计算机与数字工程,2017,45(8):1652-1655,1669,5.
