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  • 标题:Retinal Image Matching Using Hierarchical Vascular Features
  • 本地全文:下载
  • 作者:Alauddin Bhuiyan ; Ecosse Lamoureux ; Baikunth Nath
  • 期刊名称:Computational Intelligence and Neuroscience
  • 印刷版ISSN:1687-5265
  • 电子版ISSN:1687-5273
  • 出版年度:2011
  • 卷号:2011
  • DOI:10.1155/2011/749054
  • 出版社:Hindawi Publishing Corporation
  • 摘要:We propose a method for retinal image matching that can be used in image matching for person identification or patient longitudinal study. Vascular invariant features are extracted from the retinal image, and a feature vector is constructed for each of the vessel segments in the retinal blood vessels. The feature vectors are represented in a tree structure with maintaining the vessel segments actual hierarchical positions. Using these feature vectors, corresponding images are matched. The method identifies the same vessel in the corresponding images for comparing the desired feature(s). Initial results are encouraging and demonstrate that the proposed method is suitable for image matching and patient longitudinal study.
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