A FEATURE-BASED DENSE LOCAL REGISTRATION OF PAIRS OF RETINAL IMAGES

M. Fernandes, Y. Gavet, J. C. Pinoli

Abstract

A method for spatial registering pairs of digital images of the retina is presented, using intrinsic feature points (landmarks) and dense local transformation. First, landmarks, i.e. blood vessel bifurcations, are extracted from both retinal images using filtering followed by thinning and branch point analysis. Correspondances are found by topological and structural comparisons between both retinal networks. From this set of matching points, a displacement field is computed and, finally, one of the two images is transformed. Due to complex retinal registration problem, the presented transformation is dense, local and adaptive. Expermimental results established the effectiveness and the interest of the dense registration method.

References

  1. Becker, D., Can, A., Turner, J., Tanenbaum, H., and Roysam, B. (1998). Image processing algorithms for retinal montage synthesis, mapping, and real-time location determination. IEEE Transactions on Biomedical Engineering, 45(1):105-118.
  2. Can, A., Stewart, C., Roysam, B., and Tanenbaum, H. (2002). A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(3):347-364.
  3. Chaudhuri, S., Chatterjee, S., Katz, N., Nelson, M., and Goldbaum, M. (1989). Detection of blood vessels in retinal images using two-dimensional matched filters. IEEE Transactions on Medical Imaging, 8(3):263- 269.
  4. Laliberte, F., Gagnon, L., and Sheng, Y. (2003). Registration and fusion of retinal images - an evaluation study. IEEE Transactions on Medical Imaging, 22(5):661- 673.
  5. Ritter, N., Owens, R., Cooper, J., Eikelboom, R., and Van Saarloos, P. (1999). Registration of stereo and temporal images of the retina. IEEE Transactions on Medical Imaging, 18(5):404-418.
  6. Ryan, N., Heneghan, C., and de Chazal, P. (2004). Registration of digital retinal images using landmark correspondence by expectation maximization. Image and Vision Computing, 22(11):883-898.
  7. Zana, F. and Klein, J. (1999). A multimodal registration algorithm of eye fundus images using vessels detection and hough transform. IEEE Transactions on Medical Imaging, 18(5):419-428.
  8. Zitova, B. and Flusser, J. (2003). Image registration methods: a survey. Image and Vision Computing, 21(11):977-1000.
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Paper Citation


in Harvard Style

Fernandes M., Gavet Y. and Pinoli J. (2009). A FEATURE-BASED DENSE LOCAL REGISTRATION OF PAIRS OF RETINAL IMAGES . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 265-268. DOI: 10.5220/0001797102650268


in Bibtex Style

@conference{visapp09,
author={M. Fernandes and Y. Gavet and J. C. Pinoli},
title={A FEATURE-BASED DENSE LOCAL REGISTRATION OF PAIRS OF RETINAL IMAGES},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={265-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001797102650268},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - A FEATURE-BASED DENSE LOCAL REGISTRATION OF PAIRS OF RETINAL IMAGES
SN - 978-989-8111-69-2
AU - Fernandes M.
AU - Gavet Y.
AU - Pinoli J.
PY - 2009
SP - 265
EP - 268
DO - 10.5220/0001797102650268