• 地球信息科学理论与方法 •

### 局部点、线仿射不变性约束的近景影像直线段匹配

1. 1. 辽宁工程技术大学测绘与地理科学学院,阜新 123000
2. 西南交通大学地球科学与环境工程学院,成都 611756
• 收稿日期:2018-07-25 修回日期:2018-12-06 出版日期:2019-02-20 发布日期:2019-01-30
• 通讯作者: 崔昊 E-mail:xiaoxue1861@163.com;921260976@qq.com
• 作者简介:

作者简介：王竞雪(1981-),女,河南淮阳人,博士,副教授,研究方向为影像匹配与三维建模。E-mail: xiaoxue1861@163.com

• 基金资助:
国家自然科学基金项目（41871379）;地球观测与时空信息科学国家测绘地理信息局重点实验室经费资助项目（201801）

### Line Segment Matching based on Local Point-Line Affine Invariance Constraints for Close-Range Image

Jingxue WANG1,2(), Hao CUI1,*()

1. 1. School of Geomatics, Liaoning Technical University, Fuxin 123000, China
2. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
• Received:2018-07-25 Revised:2018-12-06 Online:2019-02-20 Published:2019-01-30
• Contact: Hao CUI E-mail:xiaoxue1861@163.com;921260976@qq.com
• Supported by:
National Natural Science Foundation of China No.41871379;Key Laboratory of Earth Observation and Geospatial Information Science of NASG, No.201801

Abstract:

We proposed the line-segment-matching approach with the constraint of local point-line affine invariance, to seek the solution to the fracture in straight lines extraction, the inconsistency of image scale, and the weakness of the gray similarity constraint in the texture fracture. Firstly, the corresponding triangulation network is established by the corresponding points which are obtained using SIFT(Scale-Invariant Feature Transform) matching algorithm in the references and searching images, at the same time, the candidate straight lines are obtained by triangulation network which searching range is constrained in the process of straight lines matching; Secondly, the direction constraint is used to perform secondary screening for the candidate straight lines in order to filter the candidate straight lines with obvious error. It can not only get further filter results of triangulation network constraint, but also provide a solution for angle transformation which caused by image rotation in the process of straight lines matching. The direction angles of each characteristic point of the reference image and the searching image are calculated separately, and the angle histogram is established according to the statistical results. Angle difference corresponding to the maximum peak of two histograms is called rotation angle. Finally, the support regions with the center of target straight line segment in the reference image and the corresponding support region with the center of candidate straight line segment in the searching image are both determined, and then the matching points in the support region are determined, after that the matching points are divided based on the straight line, meanwhile the corresponding straight line is determined according to subregional constraint by the principle of point-straight line affine invariance. Using proposed algorithm to perform straight line matching experiments in the typical image pairs which are selected from the online public image database, and the experiment results show that the proposed algorithm has better robustness and it can obtain reliable straight line matching results. What's more, instability problems caused by many factors exist in other algorithms of straight lines matching are improved by our algorithm.