期刊文献+

基于局部血管结构特征的眼底图像二级配准

Two-stage Retinal Fundus Image Registration Based on Local Blood Structure Features
下载PDF
导出
摘要 提出了一种结合全局配准和局部配准技术的眼底图像二级配准算法,该算法采用4个相连的分叉点组成的局部血管结构来代替单独的分叉点作为配准特征,通过减少配对点集,提高了配准效率.同时针对非线性形变造成的局部配准偏移较大的问题,在全局配准基础上进一步采用局部配准技术,提升了配准的准确度.实验结果表明,该算法以很高的配准效率和准确度有效实现了眼底图像的配准. A two-stage registration algorithm combining global registration and local registration technology is proposed.In this algorithm,bifurcation structures with 4 connected bifurcation points rather than single bifurcation points are used as the registration features.By reducing pairing points,the efficient of registration is improved.Moreover due to non-linear deformation,there are some registration errors appear in some local region.To solve this problem,a local registration technology is introduced according to the global registration results,which improve registration precision.Experiment results show that the algorithm effectively achieve fundus image registration with higher efficient and precision.
出处 《光子学报》 EI CAS CSCD 北大核心 2012年第10期1236-1241,共6页 Acta Photonica Sinica
基金 国家自然科学基金(No.60835004) 湖南省科技厅项目(No.2012FJ3113) 湖南省教育厅科研项目(No.10B109)资助
关键词 局部特征 分叉点 分叉结构 特征提取 配准 Local feature Bifurcation point Bifurcation structure Feature extraction Registration
  • 引文网络
  • 相关文献

参考文献13

  • 1MATSOPOULOS G K;ASVESTAS P A;MOURAVLI-ANSKY N A.Multimodal registration of retinal images using self organizing maps,2004(12).
  • 2FERNANDES M;GAVET Y;PINOLI J C.A feature-based dense local registration of pairs of retinal Images,2009.
  • 3TAHA H M;BENDARY N E;HASSANIEN A E.Retinal feature-based registration scheme,2011(01).
  • 4游嘉.眼底图像融合的研究及系统实现,2011.
  • 5RITTER N;OWENS R;COOPER J.Registration of stereo and temporal images of the retina,1999(05).
  • 6CHOE T E;COHEN I;LEE M.Optimal global mosaic generation from retinal images,2006.
  • 7CAN A;STEWART C;ROYSAM B.A feature-based,robust,hierarchical algorithm for registering pairs of images of the curved human retina,2002(03).
  • 8STEWART C V;TSAI C L;ROYSAM B.The dual-bootstrap iterative closest point algorithm with application to retinal image registration,2003(11).
  • 9LALIBERTE F;GAGNON L;SHENG Yun-long.Registration and fusion of retinal images-An evaluation study,2003(05).
  • 10张波.基于ICP和SVD的眼底图像配准研究,2009.
;
使用帮助 返回顶部