期刊文献+

眼底图像配准技术研究进展 被引量:2

Progress of Research in Retinal Image Registration
原文传递
导出
摘要 眼底图像在疾病的辅助诊断和治疗过程中具有重要的应用意义。眼底图像配准可以衡量疾病进程及治疗效果。近年来,各种眼底图像配准技术已得到广泛研究,但仍有值得改进之处。本文在广泛文献调研的基础上,分析了眼底图像的特点和配准的难点,综述了眼底图像配准技术中变换模型和目前眼底图像配准的主要技术,分析了各类方法的优缺点。最后,总结了目前眼底图像配准存在的主要问题及发展方向。 The retinal image registration has important applications in the processes of auxiliary diagnosis and treat- ment for a variety of diseases. The retinal image registration can be used to measure the disease process and the ther- apeutic effect. A variety of retinal image registration techniques have been studied extensively in recent years. How- ever, there are still many problems existing and there are numerous research possibilities. Based on extensive investi- gation of existing literatures, the present paper analyzes the feature of retinal image and current challenges of retinal image registration, and reviews the transformation models of the retinal image registration technology and the main research algorithms in current retinal image registration, and analyzes the advantages and disadvantages of various types of algorithms. Some research challenges and future developing trends are also discussed.
出处 《生物医学工程学杂志》 EI CAS CSCD 北大核心 2011年第5期1043-1047,共5页 Journal of Biomedical Engineering
基金 国家自然科学基金专项基金项目科学仪器基础研究专项项目资助(60827002)
关键词 眼底图像 图像配准 变换模型 基于灰度配准 基于特征配准 Retinal image Image registration Transformation models Intensity-based approaches Feature-basedapproaches
  • 相关文献

参考文献27

  • 1CHANWIMALUANG T, FAN G, FRANSEN S R, et al. 3- D Retinal Curvature Estimation[J]. IEEE Transactions on Information Technology in Biomedicine,2009,13(6) :997-1005.
  • 2CAN A, STEWERT C V, ROYSAM B, et al. A feature based, robust, hierarchical algorithm for registering pairs of images of the curved human retina[J]. IEEE Trans Pattern Anal Machine Intell, 2002,24(3) ,347-364.
  • 3CHANWIMALUANG T, FAN G, FRANSEN S R. Fransen. Hybrid retinal image registration[J]. IEEE Trans on Information Technology in Biomedicine, 2006, 10 :129-142.
  • 4TREIGVS P, DZEMYDA G, BARZDZIUKAS V. Automated positioning of overlapping eye fundus images [C]. the 8th international conference on Computational Science, Poland, 2008, 770-779.
  • 5LIN Y P, MEDIONI, G. Retinal image registration from 2D to 3D [C]. Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, Anchorage, 2008: 1063-6919.
  • 6STEWERT C V, TSAI C L, ROYSAM B. The dual-bootstrap iterative closest point algorithm with application to retinal image registration[J]. IEEE Trans Med Imag, 2003, 22 (11), 1379-1394.
  • 7邵婷婷,郑穗联,王波,施明光.正常个体人眼角膜空间形态数学建模路线研究[J].眼视光学杂志,2005,7(4):253-256. 被引量:7
  • 8YANG Y, HUANG S Y. Retinal image mosaic base on genetic algorithm and automated blood vessel extracting approach [C]. 7th World Congress on Intelligent Control and Automation,Chongqing,China, 2008:25-27.
  • 9FANG B, TANG Y Y. Elastic registration for retinal images based on reconstructed vascular trees[J]. IEEE Transactions on Biomedical Engineering, 2006,6 (53) :1183-1187.
  • 10TROGLIO G, BENEDIKTSSON J A, SERPICO S B, et al. Automatic registration of retina images based on genetic techniques [C]. Conf Proc IEEE Eng MedBiol Soc, Canada,2008: 5419-5424.

二级参考文献29

  • 1李铁军,陈哲,王任享.基于尺度不变特征变换的图像快速拼接算法[J].微计算机信息,2008,24(12):282-283. 被引量:5
  • 2王建忠,肖绍良.图像镶嵌及其边界处理[J].模式识别与人工智能,1993,6(3):189-195. 被引量:20
  • 3王翠平,李新光,季亚成.高血压和糖尿病患者视网膜病变与脑梗死的关系[J].实用心脑肺血管病杂志,2007,15(2):152-153. 被引量:6
  • 4E. Pel, R.A. Augliere, G.T. Timberlake, "Feature-based registration of retinal images," IEEE Trans. Med. Imag., vol. 6,no. 3. pp. 272-278, 1987.
  • 5J. Park, J.M. Keller, P.D. Gader, et al, "Hough-base registration of Retinal hnages," In Proc. IEEE International Conference on Systems, Man, and Cybernetics, pp. 4550-4555, 1998.
  • 6D.E. Becker, A.Can, N.Turner6et al, "Image processing algorithms for retinal montage synthesis, mapping, and real-time location determination," IEEE Trans. Biomed. Eng.,vol. 45, no.1, pp. 105-108, 1998.
  • 7Ali Can, Charles V.Stewart, A feature-based technique for joint linear estimation of high-order image-to-mosaie transformations mosaicing to the curved human retina. IEEE Trans,Pattern Analysis and Machine Intelligenee, Mar. 2002.
  • 8D. Lowe. Object Recognition from Local Scale-Invariant Features [C]. In Procs of the International Conference on Computer Vision, pages 1150-1157,Corfu, Greece, September 1999.
  • 9David G.Lowe. Distinctive linage Features from Scale-lnvariant Keypoints[J]. IJCV,2004.
  • 10Ke Y, Sukthankar R. A more distinctive representation for local image descriptors [A]. In: Proceedings of IEEE International Conference on ComputerVision and Pattern Recognition [C], Washington, DC, USA, 2004, 2: 504-513.

共引文献26

同被引文献10

引证文献2

二级引证文献2

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