Image Feature Matching Algorithm Research on Topography Measurement

王崴 1; 2; 李培林 2; 张宇红 3; 韩华亭 2; 杨鹏涛 1

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Image Feature Matching Algorithm Research on Topography Measurement

更新时间：2025-12-08

- Image Feature Matching Algorithm Research on Topography Measurement
- Vol. 42, Issue 7, Pages: 870-874(2008)
- 作者机构：
  
  1. 西安交通大学机械制造系统工程国家重点实验室,西安,710049
  2. 空军工程大学导弹学院发射工程系, 713800, 陕西三原
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.3
- Online First：10 July 2008，
  
  Published：2008
- 稿件说明：
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王崴 1, 2, 李培林 2, et al. Image Feature Matching Algorithm Research on Topography Measurement[J]. 2008, 42(7): 870-874.
DOI：

王崴 1, 2, 李培林 2, et al. Image Feature Matching Algorithm Research on Topography Measurement[J]. 2008, 42(7): 870-874. DOI：

摘要

针对地貌测量重构中的图像特征匹配问题

提出了一种新的图像特征匹配方法.通过对待匹配的资源和模板图像进行分区

并根据灰度相关值实现区域之间的匹配

在区域匹配的基础上再根据角点所属区域的对应关系进行角点特征匹配运算.在角点特征匹配过程中

利用去均值归一化相关法进行区域灰度相关运算

从而确定出初始匹配点对.为消除初始匹配角点对中的错误匹配点对

保证角点特征提取的准确性和可靠性

采用松弛迭代法、零交叉法以及最小平方中值法进行了错误匹配角点的滤除.实验结果表明

该算法可有效提高地貌图像特征匹配的精度和效率.

Abstract

To effectively realize the image feature matching for topography measurement and rebuilding

a new matching scheme is presented

where the topography resource image and model image matched are partitioned at first

and then the regions are matched according to the gray level correlation. Based on the region match

the corner feature match operation is processed following the relationship among the regions to which the corner points belong. During the corner feature match operation

the initial matching points are determined by region gray level correlation calculation with removing mean value normalization method. To eliminate the wrong matching points and assure the accuracy and reliability of corner detection

relaxation iteration algorithm

zero-crossing method and least squares escalator algorithms are adopted. The experiment results show the precision and accuracy of this algorithm for topography image feature match.

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references

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