期刊文献+

已知初始匹配对的图像四元松弛匹配算法 被引量:2

Four-element relaxation matching algorithm of images based on known initial matching pairs
下载PDF
导出
摘要 提出了已知初始匹配对的四元松弛匹配算法,该算法以向量旋转角的旋转和缩放不变性特征作为匹配对的优化准则,首先计算向量旋转角度差值,然后通过构造支持度函数和剔除策略选出最优匹配对.在初始错误匹配比例较高和游动误差较大的情况下能够实现正确匹配.通过大量图像实验证明,该算法在匹配速度和正确率上优于桑农松弛匹配算法. A four-element relaxation matching algorithm based on known initial matching pairs was proposed.The algorithm with characteristics of anti-rotation and anti-scale of rotating angle of vectors was applied as the optimization criterion of matching pairs.Under the condition of higher initial error matching rate and larger walk errors,the algorithm achieved the matching correctly.The value difference of the rotating angle of vectors was calculated,and the optimal matching pairs was selected by using of the support function and the rules of rejection.Experimental results with large images show that the matching speed and correctness of the algorithm is better than Sangnong relaxation matching algorithm.
出处 《北京航空航天大学学报》 EI CAS CSCD 北大核心 2010年第7期785-788,共4页 Journal of Beijing University of Aeronautics and Astronautics
基金 国家自然科学基金资助项目(50808057)
关键词 松弛匹配 向量旋转角 游动误差 桑农松弛匹配算法 relaxation matching the rotating angle of vectors work error Sangnong relaxation matching algorithm
  • 相关文献

参考文献8

二级参考文献29

  • 1桑农,张天序,魏洛刚,汪国有.松弛匹配算法的神经网络实现[J].通信学报,1996,17(2):46-52. 被引量:3
  • 2Ranade S,Rosenfeld A.Point Pattern Matching by Relaxation[J].Pattern Recognition,1980,12 (4):269-275.
  • 3Moravec H P.Towards Automatic Visual Obstacle Avoidance[A].Proceedings of the 5th International Joint Conference on Artificial Intelligence[C].Cambridege,Massachusetts,1977:584.
  • 4Skea D,Kuwahara R,Poecker R.A Control Point Matching Algorithm[J].Pattern Recognition,1993,26(2):269-276.
  • 5LI Hui, et al. A Contour-Based Approach to Multisensor Image Registeation[J]. IEEE Transaction on Image Processing, 1995,4(3).
  • 6PRATT W. Digital Image Processing [ M ]. NewYork: Wiley, 1991.
  • 7HARALICK R, et al. Computer and Robot Vision[ M]. Massachusetts: Addison-Wesley, 1993.
  • 8ZHENG Q F,CHELLAPPA R. A Computational Vision Approach to Image Registration[J]. IEEE Transaction on Image Processing, 1993,2(3).
  • 9HSU C T, BEUKER R A. Multiresolution Feature-Based Image Registration [ A ]. Proceedings of SPIE[ C]. Perth: [s n ],2000.
  • 10SMITH S M, BRADY J M. SUSAN-A New Approach to Low Level Image Processing[J]. Int Journal of Computer Vision, 1997,23( 1 ).

共引文献109

同被引文献19

引证文献2

二级引证文献8

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部