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Registration of Image Sequences from Experimental Low-Cost Fundus Camera

  • Radim Kolar
  • Bernhard Hoeher
  • Jan Odstrcilik
  • Bernhard Schmauss
  • Jiri Jan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8545)

Abstract

This paper describes new registration approach for registration of low SNR retinal image sequences. We combine two approaches - Fourier-based method for large shift correction and Lucas-Kanade tracking for small shift and rotation correction. We also propose method for evaluation of registration results, which uses spatial variation of minimum value in intensity profiles through blood-vessels. We achieved precision of registration below 2.1 pixels, which is acceptable with regards to image SNR (around 10dB). The final averaging of registered sequence leads to improvement of image quality and improvement in SNR over 10 dB.

Keywords

Retinal Image Tracking Point Fundus Image Fundus Camera Investigative Ophthalmology 
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 International Publishing Switzerland 2014

Authors and Affiliations

  • Radim Kolar
    • 1
    • 2
  • Bernhard Hoeher
    • 3
    • 4
  • Jan Odstrcilik
    • 1
    • 2
  • Bernhard Schmauss
    • 3
    • 4
  • Jiri Jan
    • 1
  1. 1.Department of Biomedical Engineering, Faculty of Electrical Engineering and CommunicationBrno University of TechnologyBrnoCzech Republic
  2. 2.International Clinical Research Center, Center of Biomedical EngineeringSt. Anne’s University HospitalBrnoCzech Republic
  3. 3.Institute of Microwaves and PhotonicsFriedrich-Alexander University of Erlangen-NurembergErlangenGermany
  4. 4.Erlangen Graduate School in Advanced Optical Technologies (SAOT)University of Erlangen-NurembergErlangenGermany

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