Image Registration Method Based on Improved Speed-up Robust Features

SHANG Ming-shu

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Image Registration Method Based on Improved Speed-up Robust Features

更新时间：2026-09-04

- Image Registration Method Based on Improved Speed-up Robust Features
- Vol. 31, Issue 2, Pages: 125-128(2014)
- 作者机构：
  
  哈尔滨学院机构工学院,黑龙江,哈尔滨,150080
- 作者简介：
- 基金信息：
- DOI：
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- Published：2014
- 稿件说明：
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尚明姝. 一种基于改进SURF的图像配准方法[J]. 微电子学与计算机, 2014, 31(2): 125-128.

SHANG Ming-shu. Image Registration Method Based on Improved Speed-up Robust Features[J]. 2014, 31(2): 125-128.
尚明姝. 一种基于改进SURF的图像配准方法[J]. 微电子学与计算机, 2014, 31(2): 125-128. DOI：

SHANG Ming-shu. Image Registration Method Based on Improved Speed-up Robust Features[J]. 2014, 31(2): 125-128. DOI：

摘要

针对经典SURF算法存在特征点冗余、运算量大的问题，提出一种基于SURF的改进算法，首先使用SURF算法提取特征点，然后建立两级特征点筛选机制从初步检测出的特征点中筛选出信息含量高、分布均匀的特征点，减少特征点数量来减轻算法的计算量，提高算法整体性能.最后采用鲁棒性较好的PROSAC算法剔除误匹配点，计算变换矩阵.实验验证了本算法性.

Abstract

Considering the redundant feature points

high computational complexity in image registration method based on speed-up robust features (SURF) algorithm

an improved SURF algorithm is proposed.At first it uses SURF to extract the feature points from two images.The feature points with higher entropy are extracted.By using the distance threshold to reduce the number of feature points

the computation work can be reduced.PROSAC algorithm is used to reject false matches and compute homography matrix.The experiments verify the algorithms efficiency and robustness.

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