J4 ›› 2015, Vol. 42 ›› Issue (6): 88-93.doi: 10.3969/j.issn.1001-2400.2015.06.016

• 研究论文 • 上一篇    下一篇



  1. (1. 西安电子科技大学 计算机学院,陕西 西安  710071;
    2. 西安电子科技大学 雷达信号处理国家重点实验室,陕西 西安  710071)
  • 收稿日期:2014-06-20 出版日期:2015-12-20 发布日期:2016-01-25
  • 通讯作者: 靳峰
  • 作者简介:靳峰(1982-),男,西安电子科技大学博士研究生,E-mail: xdjinfeng@163.com.
  • 基金资助:

    国家自然科学基金资助项目( 61271293)

Fast and precise image registration algorithm

JIN Feng1,2;FENG Dazheng2   

  1. (1. School of Computer Science and Technology, Xidian Univ., Xi'an  710071, China;
    2. National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an  710071, China)
  • Received:2014-06-20 Online:2015-12-20 Published:2016-01-25
  • Contact: JIN Feng



关键词: 图像配准, 特征点匹配, 描述子, 中心对称局部二值模式, 空间序列特征


An image registration algorithm is proposed through the analysis of the objective function. There are two optimal solutions to the function: the biggest number of efficient point pairs and the image transformation matrix with the highest accuracy, which can be solved by two different point matching matrices. The algorithm gets the transformation matrix by the points described in the center symmetric local binary pattern (CS-LBP), and obtains the efficient points by the statistical deflection angle order (SDAO). The SDAO is a sample and accuracy descriptor that integrates the local structure and global information of images. By combining with the advantages of the two description methods, the algorithm achieves a high alignment accuracy and a small computational volume.

Key words: image registration, point matching, descriptor, center symmetric local binary pattern, spatial order property