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Registration of Image Sequences from Experimental Low-Cost Fundus Camera

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Biomedical Image Registration (WBIR 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8545))

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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.

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Author information

Authors and Affiliations

  1. Department of Biomedical Engineering, Faculty of Electrical Engineering and Communication, Brno University of Technology, Brno, Czech Republic

    Radim Kolar, Jan Odstrcilik & Jiri Jan

  2. International Clinical Research Center, Center of Biomedical Engineering, St. Anne’s University Hospital, Brno, Czech Republic

    Radim Kolar & Jan Odstrcilik

  3. Institute of Microwaves and Photonics, Friedrich-Alexander University of Erlangen-Nuremberg, Erlangen, Germany

    Bernhard Hoeher & Bernhard Schmauss

  4. Erlangen Graduate School in Advanced Optical Technologies (SAOT), University of Erlangen-Nuremberg, Erlangen, Germany

    Bernhard Hoeher & Bernhard Schmauss

Authors
  1. Radim Kolar
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  2. Bernhard Hoeher
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  3. Jan Odstrcilik
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  4. Bernhard Schmauss
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  5. Jiri Jan
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Editor information

Editors and Affiliations

  1. Centre for Medical Imaging, Front Engineering, University College London, Building, Malet Place, WC1E 6BT, London, UK

    Sébastien Ourselin  & Marc Modat  & 

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Kolar, R., Hoeher, B., Odstrcilik, J., Schmauss, B., Jan, J. (2014). Registration of Image Sequences from Experimental Low-Cost Fundus Camera. In: Ourselin, S., Modat, M. (eds) Biomedical Image Registration. WBIR 2014. Lecture Notes in Computer Science, vol 8545. Springer, Cham. https://doi.org/10.1007/978-3-319-08554-8_18

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  • DOI: https://doi.org/10.1007/978-3-319-08554-8_18

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08553-1

  • Online ISBN: 978-3-319-08554-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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