Layers Recognition in Tomographic Eye Image Based on Random Contour Analysis

  • Robert Koprowski
  • Zygmunt Wrobel
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 57)

Summary

The paper presents an algorithm designed to detect layers of eye’s retina using an area analysis. This analysis has been implemented and tested in images obtained by means of Copernicus OCT (Optical Coherence Tomography). The algorithm created is an original approach to detect layers, contours and psuedoparallels. The approach presented is an expansion of approaches described in [1] and [2],[3] and enables identification and recognition of external limiting membranes, retina and others. The algorithm has been implemented in Matlab and C environment.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Koprowski, R., Wrobel, Z.: Analiza warstw na tomograficznym obrazie oka (Layer Analysis in a Tomographic Eye Image), Systemy Wspomagania Decyzji (Decision Support Systems), Zakopane (2007)Google Scholar
  2. 2.
    Koprowski, R., Wrobel, Z.: Rozpoznawanie warstw na tomograficznym obrazie oka w oparciu o detekcje krawedzi Canny (Layers Recognition in Tomographic Eye Image Based on Canny Edges Detection). Submitted for Conference on Information Technology in Biomedicine, Kamien Slaski (2008)Google Scholar
  3. 3.
    Koprowski, R., Wrobel, Z.: Layers Recognition in Tomographic Eye Image Based on Random Contour Analysis - sent to Mirage (2009)Google Scholar
  4. 4.
    Koprowski, R., Wrobel, Z.: Determining the contour of cylindrical biological objects using the directional field. In: Proceedings 5th International Conference on Computer Recognition Systems CORES 2007. Advances in Soft Computing (2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Robert Koprowski
    • 1
  • Zygmunt Wrobel
    • 1
  1. 1.Institute of Computer ScienceUniversity of SilesiaSosnowiecPoland

Personalised recommendations