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Application of cepstral preprocessing for the improvement of spatial contrast of ocular fundus images

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Abstract

A method based on the cepstral analysis is proposed to preprocess fundus images. The method effectively reveals spectral peaks in a narrow band of spatial frequencies thus improving the spatial contrast of the image. The resulting images can be readily used for an automated structural analysis of eye pathologies. The method is applied to stitch several small-aperture fragments together.

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References

  1. P. Massin, A. Erginay, and A. Gaudric, Rétinopathie Diabéthique (Elsevier, Paris, 2000), Vol. 1.

    Google Scholar 

  2. J. K. Udupa, “Multiple Sclerosis Lesion Quantification Using Fuzzy-Connectedness Principles,” IEEE Trans. Med. Imaging 16(5), 598–607 (1997).

    Article  Google Scholar 

  3. U. Oberheide, C. Lee, and R. Krebs, “Therapy Monitoring of Laser Cyclophotocoagulation,” Proc. SPIE 4611, 47–52 (2002).

    Google Scholar 

  4. F. Zana, Une approche morphologique pour les détections et Bayesienne pour le recalage d’images multimodales: Application aux images rétiniennes (Ecole des Mines de Paris, 1999).

  5. L. Gagnon, M. Lalonde, M. Beaulieu, and M.-C. Boucher, “Procedure to Detect Anatomical Structures in Optical Fundus Images,” in Proceedings of the SPIE Symposium on Medical Imaging, San Diego, 2001; Proc. SPIE 4322, 1218–1225 (2001).

  6. V. K. Salakhutdinov, Y. G. Smetanin, and D. M. Murashov, “Image Registration Neural System for the Analysis of Fundus Topology,” in Proceedings of the CVAMIA + MMBIA Workshop Held in Conjunction with the 8th European Conference on Computer Vision (ECCV), Prague, 2004, B-24.

  7. “Fundus Camera,” RF Patent No. 2 215 463 (2003).

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Authors and Affiliations

  1. Institute of Optico-Neural Technologies, Russian Academy of Sciences, ul. Vavilova 44/2, Moscow, 119991, Russia

    V. K. Salakhutdinov

  2. Scientific Council on Cybernetics, Russian Academy of Sciences, ul. Vavilova 40, GSP-1, Moscow, 119991, Russia

    Yu. G. Smetanin

Authors
  1. V. K. Salakhutdinov
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  2. Yu. G. Smetanin
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Salakhutdinov, V.K., Smetanin, Y.G. Application of cepstral preprocessing for the improvement of spatial contrast of ocular fundus images. Pattern Recognit. Image Anal. 16, 52–53 (2006). https://doi.org/10.1134/S1054661806010160

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  • DOI: https://doi.org/10.1134/S1054661806010160

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