基于特征点精度提纯的图像配准改进算法

刘珊珊; 李凡

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基于特征点精度提纯的图像配准改进算法

更新时间：2026-09-04

- 基于特征点精度提纯的图像配准改进算法
- The Improved Algorithm of Image Registration Based on Feature Point Accuracy Purification
- 微电子学与计算机 2016年33卷第5期页码：22-27
- 作者机构：
  
  西安交通大学电子与信息工程学院,陕西,西安,710049
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目 61261036陕西省自然科学基础研究计划 2014JM8318
- DOI：
  中图分类号：
- 纸质出版：2016
- 稿件说明：
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刘珊珊, 李凡. 基于特征点精度提纯的图像配准改进算法[J]. 微电子学与计算机, 2016, 33(5): 22-27.

LIU Shan-shan, LI Fan. The Improved Algorithm of Image Registration Based on Feature Point Accuracy Purification[J]. 2016, 33(5): 22-27.
刘珊珊, 李凡. 基于特征点精度提纯的图像配准改进算法[J]. 微电子学与计算机, 2016, 33(5): 22-27. DOI：

LIU Shan-shan, LI Fan. The Improved Algorithm of Image Registration Based on Feature Point Accuracy Purification[J]. 2016, 33(5): 22-27. DOI：

摘要

由于飞机抖动、噪声等不期望因素的存在

图像配准不能准确将背景一致化.针对上述问题

提出了特征点精度提纯的图像配准方法.在角点提取部分

通过控制特征点的数量和准确度降低角点冗余度; 在角点匹配部分

通过去除匹配误差较大的点去除错误匹配点对; 并结合分辨率的高斯金字塔降低算法复杂度.实验结果证明基于特征点精度提纯的图像配准改进算法比未进行特征点提纯的配准方法有更好的效果

且计算量降低到原来的28%左右.

Abstract

Due to aircraft vibrating

noise and other undesirable factors

image registration cant make the background consistent precisely. To solve this problem

this paper presents a method with feature point accuracy purification for image registration. In the corner extraction part

it lowers corner redundancy by controlling the amount and accuracy of the feature point; and in the corner matching part

it remove false matching points by removing the points with larger matching error. Furthermore

establish the Gaussian pyramid about resolution for the sake of reducing algorithm complexity. Experimental results show that the improved algorithm of image registration based on the feature point accuracy purification has better results than that without purification of the feature point

and the calculated amount is reduced to about 28% of the original.

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Keywords

references

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Hellier P, Barillot C. Coupling dense and landmark-based approaches for non-rigid registration[R]. France, IRISA research report, PI 1368: 30, 2000.

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田伟刚, 郭雷, 黄雷. 一种应用于图像配准中的点特征匹配算法[J]. 微电子学与计算机, 2008, 25(3): 172-174. DOI: 172

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