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Mosaicing the Retinal Fundus Images: A Robust Registration Technique Based Approach

  • Xinge You
  • Bin Fang
  • Yuan Yan Tang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3612)

Abstract

Mosaicing fundus retinal images is fundamental to reveal helpful information of the eyes in order to track the progress of possible diseases. We propose the use of a simple rigid model to globally match vascular trees via a multi-resolution scheme. An elastic matching algorithm is employed to achieve accurate local alignment. We build mosaic maps by merging gray intensities of pixels from different fundus images at the same transformed locations with arithmetic average operation. Experiment results show that successful matching can be achieved with improved accuracy and the mosaic maps seem perfect in terms of visual inspection.

Keywords

Feature Point Retinal Image Vascular Tree Fundus Image Optimal Transformation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Xinge You
    • 2
    • 3
  • Bin Fang
    • 1
    • 3
  • Yuan Yan Tang
    • 2
    • 3
  1. 1.Center for Intelligent Computation of InformationChongqing UniversityChina
  2. 2.Faculty of Mathematics and Computer ScienceHubei UniversityChina
  3. 3.Department of Computer ScienceHong Kong Baptist University 

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