基于尺度不变特征点匹配的太阳磁场图像配准与定位方法  

Registration and Location Method of Solar Magnetic Field Images Based on Scale-invariant Feature Point Matching

作　　者：杨盼 曾曙光[1] 刘锁 郑胜[1] 林钢华[2] 何慧灵[1] 

机构地区：[1]三峡大学理学院,湖北宜昌443000 [2]中国科学院太阳活动重点实验室,北京100012

出　　处：《天文研究与技术》2018年第1期59-68,共10页Astronomical Research & Technology

基　　金：国家自然科学基金(U1531247;U1331113);科技部基础工作专项重点项目(2014FY120300;2012FY120500);中国科学院太阳活动重点实验室开放课题(KLSA201617)资助

摘　　要：不同太阳观测站间存在观测时间、观测范围、观测设备等差异,为了方便科学研究,有必要找到不同观测站间太阳图像自动配准与定位的方法。提出了基于尺度不变特征点匹配的太阳磁场图像配准与定位方法。首先,对原始图像进行对比度增强、降采样等预处理;其次,采用尺度不变特征检测算法提取两图的尺度不变特征点;然后,寻找同名点的方法对两幅图像特征点进行粗配准和粗定位;最后,基于粗定位区域实现太阳磁场图像的精确配准和定位。开展了不同时段磁场图像的配准和定位实验,对匹配点对数、匹配准确率、匹配误差等参数进行了定量分析,实验结果表明,该方法可以自动、准确、快速地实现太阳磁场图像的配准与定位。There are differences among different solar scope and equipment. For the convenience of scientific observation stations in terms of observation time, research, it is necessary to work out a way to automatically match and locate the solar images of different observation stations. A method to match and locate solar magnetic field image based on scale-invariant feature point matching is put forward. Firstly, pre-treatment for the original image is carried out by contrast enhancing and down sampling; Secondly, the feature scale- invariant feature points are extracted using scale-invariant feature point detection algorithm; Next, the feature points of the two images are matched and located roughly by seeking their homologous points; Finally, Based on coarse located area, the solar magnetic image can be matched and located exactly. The registration and positioning experiments of the solar magnetic field image in different time periods are carried out, and numbers of matching point pairs, matching logarithm, matching accuracy and matching error are defined to quantitatively analyze the experimental results. As proved by experiment results, the presented method can match and locate the solar magnetic images automatically, accurately and quickly.

关 键 词：太阳图像 图像配准 自动定位 尺度不变 特征提取 

分 类 号：P182[天文地球—天文学]