期刊文献+

基于特征点匹配的图像配准算法精度提升方法研究 被引量:2

Research on Precision Improvement Method of Image Registration Algorithm Based on Feature Points Matching
原文传递
导出
摘要 图像配准是多种图像后续处理的基础,较为常见的有图像融合,图像拼接、图像的三维重建等,这些后续操作都需要在一个好的配准前提下才能完成,因此,对于图像配准精度改进的研究具有很重要的实际应用价值。对基于特征点匹配的图像配准算法提出了几个配准精度提升的方法,这些方法分别针对特征检测精度的提升和特征匹配精度的提升来达到图像配准精度提升的目的。 Image registration is the basis of post processing for multi-image, including image fusion, image mosaic and 3D reconstruction of image. The requirement of post-operation accomplishment is good registration. It is important for studying the precision improvement of image registration. Several methods of precision registration improvement are presented for the image registration algorithm based on the feature points matching. The precision improvement of image registration is real- ized by the methods for precision improvement of feature detection and matching.
作者 李志国
机构地区 中国人民解放军
出处 《光学与光电技术》 2012年第6期103-106,共4页 Optics & Optoelectronic Technology
关键词 图像配准 配准精度 特征点匹配 特征检测 image registration registration precision feature points matching feature detection
  • 相关文献

参考文献3

  • 1D I Barnea. H F Silverman. A Class of Algorithm for Fast Digital Registration[J]. IEEE Transactions on Computers, 1972, 21(2): 179-186.
  • 2葛永新,杨丹,雷明.基于良分布的亚像素定位角点的图像配准[J].电子与信息学报,2010,32(2):427-432. 被引量:10
  • 3Fischler M A, Bolles R C. Random sample consensus:Aparadigm for model fitting with applications to image analysis and automated cartography[J]. Communications of ACM, 1981, 24(6): 381-395.

二级参考文献11

  • 1王靖,朱梦宇,赵保军,何佩琨.基于小波和改进型Hausdorff距离的遥感图像配准方法[J].电子学报,2006,34(12):2167-2169. 被引量:15
  • 2付朝霞,韩焱,昝波.基于角点检测的图像镶嵌算法[J].光电工程,2007,34(5):126-130. 被引量:7
  • 3徐玮,王炜,张茂军,吴玲达.一种基于角点匹配的视图合成方法[J].系统仿真学报,2007,19(14):3263-3265. 被引量:6
  • 4Barbara Zitova and Jan Flusser. Image registration methods: a survey[J]. Image and Vision Computing, 2003, 21(11): 977-1000.
  • 5Harris C and Stephens M J. A combined corner and edge detector[C]. Proc. Fourth Alvey Vision Conference, Manchester, UK, 1988: 147-152.
  • 6Mikolajczyk K and Schmid C. An affine invariant interest point detector[C]. Proc. Seventh European Conf. Computer Vision, Copenhagen, Denmark, 2002: 128-142.
  • 7Brown M and Lowe D G. Invariant features from interest point groups[C]. In British Machine Vision Conference, Cardiff, Wales, 2002: 656-665.
  • 8Brown M, Szeliski R, and Winder S. Multi-image matching using multi-scale oriented patches[C]. In Proceedings of the International Conference on Computer Vision and Pattern Recognition, San Diego, may, 2005: 510-517.
  • 9Fischler M A and Bolles R C. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography[J]. Communications of ACM, 1981, 24(6): 381-395.
  • 10刘贵喜,王蕾.基于区域选择和特征点匹配的图像配准算法[J].光电子.激光,2007,18(8):999-1002. 被引量:19

共引文献9

同被引文献37

引证文献2

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