计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (17): 159-162.DOI: 10.3778/j.issn.1002-8331.2009.17.048

• 图形、图像、模式识别 • 上一篇    下一篇

基于高通能量变换的多传感器图像配准

张庭厚1,庹红娅2,敬忠良2   

  1. 1.上海交通大学 电子信息与电气工程学院,上海 200240
    2.上海交通大学 空天科学技术研究院,上海 200240
  • 收稿日期:2008-04-21 修回日期:2008-06-26 出版日期:2009-06-11 发布日期:2009-06-11
  • 通讯作者: 张庭厚

Multi-sensor image registration based on high-pass energy transformation

ZHANG Ting-hou1,TUO Hong-ya2,JING Zhong-liang2   

  1. 1.School of Electronic,Information and Electrical Engineering,Shanghai Jiaotong University,Shanghai 200240,China
    2.Institute of Aerospace Science & Technology,Shanghai Jiao Tong University,Shanghai 200240,China
  • Received:2008-04-21 Revised:2008-06-26 Online:2009-06-11 Published:2009-06-11
  • Contact: ZHANG Ting-hou

摘要: 针对多源传感器图像的特点,提出了一种结合高通能量变换与角点匹配的图像配准方法。该方法首先利用SUSAN 算法进行角点检测,然后将角点匹配分为粗匹配和精匹配两个阶段实现:粗匹配时,对图像进行高通能量变换,有效减少多传感器图像间的差异,并利用高通能量图上角点邻域间的归一化互相关度量,来建立角点初始对应关系;精匹配时,通过RANSAC算法,进一步筛选出正确的匹配点对,并获取匹配参数。实验证明该方法能快速、准确地配准红外与可见光图像。

Abstract: This paper presents an effective multi-sensor image registration method combining high-pass energy transformation and feature point matching.First,the SUSAN algorithm is used to obtain the corners of the two images.And then,the matching procedure is realized with two stages:For coarse matching,the normalized local cross-correlation based on high-pass energy image is defined as similarity measurement to obtain the original correspondence;For precise matching,the robust RANSAC algorithm is applied to discard the incorrectly matched corner pairs and get the registrationt parameters.The validity and exactness have been shown by the experimental results.