基于直线Hough变换的图像配准方法

计算机科学 ›› 2014, Vol. 41 ›› Issue (Z11): 107-109.

基于直线Hough变换的图像配准方法

曲智国,谭贤四,林强,王红,高颖慧

空军预警学院二系武汉430019;空军预警学院二系武汉430019;空军预警学院二系武汉430019;空军预警学院二系武汉430019;国防科技大学ATR重点实验室长沙410073

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受空军重点科研项目(KJ2011192),国家自然科学基金(61103082)资助

Image Registration Method Based on Straight-line in Hough Parameter Space

QU Zhi-guo,TAN Xian-si,LIN Qiang,WANG Hong and GAO Ying-hui

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 为了有效解决不同传感器、不同视角和不同时相条件的图像配准问题,提出了一种基于直线极坐标参数在Hough空间求解图像变换参数的图像配准算法。先提取图像中直线极坐标特征参数,形成匹配特征空间；然后在Hough空间逐步求解RST图像变换的旋转、尺度和平移参数；最后利用实际图像对算法的性能进行了分析与验证。实验结果表明,该方法不需进行复杂的匹配空间搜索,具有适应性强、配准精度高的优点。

关键词: 图像配准,直线极坐标参数Hough变换,旋转尺度平移变换

Abstract: In order to solve the image registration problem of different sensors under different view obtained at different time,a novel image registration algorithm based on straight-lines was presented in this paper.Firstly,we transformed the straight lines in the image space into points in the Hough parameter space by using Hough transform.Then we proposed an approach that simultaneously determines the correspondences between the points and solves for the parameters involved in the registration transformation function in Hough space.Experiments were conducted on real-world images.The experimental results reveal that the algorithm is robust and efficient for most images with rich line features.

Key words: Image registration,Line log-polar parameter hough transform,RST transform

曲智国,谭贤四,林强,王红,高颖慧. 基于直线Hough变换的图像配准方法[J]. 计算机科学, 2014, 41(Z11): 107-109. https://doi.org/

QU Zhi-guo,TAN Xian-si,LIN Qiang,WANG Hong and GAO Ying-hui. Image Registration Method Based on Straight-line in Hough Parameter Space[J]. Computer Science, 2014, 41(Z11): 107-109. https://doi.org/

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