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Identification of Layers in a Tomographic Image of an Eye Based on the Canny Edge Detection

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Information Technologies in Biomedicine

Part of the book series: Advances in Soft Computing ((AINSC,volume 47))

Abstract

In the paper we present an algorithm for the identification of retina layers using the Canny edge detection for images obtained with OCT (Optical Coherence Tomography) Copernicus. The developed algorithm is an extension of the approaches covered in [4] and allows the identification and detection of hyaline-retinal border layers, the retina and other. The algorithm was implemented in the Matlab environment and the C language.

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References

  1. Canny, J.: A Computational Approach to Edge Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 8(6) (November 1986)

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  4. Koprowski, R., Wróbel, Z.: Analiza warstw na tomograficznym obrazie oka, Systemy wspomagania Decyzji (2007)

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  5. Koprowski, R., Wróbel, Z.: Determining the contour of cylindrical biological objects using the directional field. In: Proc. CORES 2007, Springer, Heidelberg (2007)

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Ewa Pietka Jacek Kawa

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© 2008 Springer-Verlag Berlin Heidelberg

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Koprowski, R., Wrobel, Z. (2008). Identification of Layers in a Tomographic Image of an Eye Based on the Canny Edge Detection. In: Pietka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Soft Computing, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68168-7_26

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  • DOI: https://doi.org/10.1007/978-3-540-68168-7_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68167-0

  • Online ISBN: 978-3-540-68168-7

  • eBook Packages: EngineeringEngineering (R0)

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