›› 2012, Vol. ›› Issue (03): 749-753.

• 论文 • 上一篇    下一篇

基于相关约束匹配和射影约束的最优匹配点提取

何凯, 何海龙, 邹刚, 远中文, 牟聪翀   

  1. 天津大学 电子信息工程学院, 天津 300072
  • 收稿日期:2011-01-11 出版日期:2012-05-01
  • 基金资助:
    国家自然科学基金项目(61002030).

Best matching point extraction based on corrective constraint matching and projective constraint

HE Kai, HE Hai-long, ZOU Gang, YUAN Zhong-wen, MU Cong-chong   

  1. School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China
  • Received:2011-01-11 Online:2012-05-01

摘要: 首先采用相关约束匹配的方法得到候选匹配对集,初步排除位移角点和伪角点。然后根据特征点集在图像射影变换过程中的整体稳定特性进行配准。最后通过设定共面点射影约束条件,自动选取相对精度最高的匹配点作为最优匹配点对。仿真实验结果表明,利用本文算法提取的最优匹配点对噪声和干扰具有很好的鲁棒性,对具有明显噪声和较大干扰的实际图像,仍能够获得比较理想的配准效果。

关键词: 信息处理技术, 图像配准, 相关约束匹配, 射影约束

Abstract: First, to get rid of the unstable and false corners, the candidate matching points are obtained with the corrective constraint matching method. Second, based on the stability of the corners in the process of affine transformation, the images are initially matched. Finally, by setting the condition of coplanar point projective constraint, the relative highest accurate matching points are selected as the best matching corners. Experiments show that the best matching points selected by the proposed method are robust to the added noise and interference, and ideal registration effect can be achieved even for real images with serious added noises and interference.

Key words: information processing, image registration, correlative constraint matching, projective constraint

中图分类号: 

  • TN911.73
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