期刊文献+

一种应用Partial Hausdorff距离的多尺度图像配准方法 被引量:4

A Multiresolution Algorithm for Image Registration with Partial Hausdorff Distance
下载PDF
导出
摘要 基于图像边缘特征提取的PartialHausdorff距离的配准方法,可以有效抑制由于多传感器的成像特性差异、边缘特征提取等原因对配准的影响。本文对基于PartialHausdorff距离的图像配准方法作了改进,采用多尺度的配准方法,避免了PartialHausdorff距离准则引起的无值和多值性问题,而且显著减少了计算量,实现了PartialHausdorff距离准则对于图像配准的优点。 Image registration algorithms based on edge extraction with Partial Hausdorff distance can efficiently reduce the influence made by different imaging properties of mutisensors, edge extraction procedure etc. In this work,the image registration algorithm with Partial Hausdorff distance is improved and the multiresolution method is adopted so as to avoid the problem of singularity and ambiguity introduced by Partial Hausdorff distance rule. Furthermore the computation quantity is greatly reduced, while various advantages of Partial Hausdorff distance rule can be thoroughly realized.
出处 《航空学报》 EI CAS CSCD 北大核心 2004年第6期593-597,共5页 Acta Aeronautica et Astronautica Sinica
关键词 图象配准 PARTIAL HAUSDORFF距离 多尺度 image registration Partial Hausdorff distance multiresolution
  • 相关文献

参考文献9

  • 1Rosenfeld A,Kak A C. Digital picture processing[M]. Orlando:Academic Press, Fla, 1982.
  • 2Maes F,Collegnon A, Vandermeulen D, et al. Multimodality image registration by maximization of mutual information[J]. IEEE Trans on Medical Imaging, 1997,16:187-198.
  • 3Kuglin C D,Hines D C. The phase correlation image alignment method[A]. Proc IEEE 1975 Int Conf Cyber-netics and Society[C].1975.163-165.
  • 4Lee D J, Krile T F, Mitra S. Digital registration techniques for sequential fundus images[A]. IEEE Proc of SPIE: Applications of Digital Image Processing X 829[C]. 1987.293-300.
  • 5Chen H M. Automatic Two-Stage IR and MMW image registration algorithm for concealed weapons detection[J]. IEEE Proc--Vis Image Signal Process, 2001,148 (4):209-216.
  • 6Hsieh J W. Image registration using a new edge-based approach [J]. Computer Vision and Image Understanding, 1997, 67 (2): 112-130.
  • 7Huttenlocher D P, Klanderman G A , Rucklidge W J. Pattern analysis and machine intelligence[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, 15(9): 850-863.
  • 8Yang X J,Sheng Y L,Guan W G,et al. Adaptive hill climbing and iterative closest point algorithm for multisensor image registration with Partial Hausdorff distance[A]. Proceedings of SPIE[C].2000.99-108.
  • 9Gua W G, Ma S D. A list-processing approaching to compute Voronoi diagrams and the uclidean distance transform[J]. IEEE Trans Pattern Analysis and Machine Intelligence, 1998, 20(7): 751-761.

同被引文献37

引证文献4

二级引证文献26

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