ICIAR 2016: Image Analysis and Recognition pp 697-706 | Cite as

Automatic Optic Disc and Fovea Detection in Retinal Images Using Super-Elliptical Convergence Index Filters

  • Behdad Dashtbozorg
  • Jiong Zhang
  • Fan Huang
  • Bart M. ter Haar Romeny
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9730)

Abstract

This paper presents an automatic optic disc (OD) and fovea detection technique using an innovative super-elliptical filter (SEF). This filter is suitable for the detection of semi-elliptical convex shapes and as such it performs well for the OD localization. Furthermore, we introduce a setup for the simultaneous localization of the OD and fovea, in which the detection result of one landmark facilitates the detection of the other one. The evaluation is performed on 1200 images of the MESSIDOR dataset containing both normal and pathological cases of diabetic retinopathy (DR) and macular edema (ME). The proposed approach achieves success rates of 99.75 % and 98.87 % for the OD and fovea detection, respectively and outperforms or equals all known similar methods.

Keywords

Retina Fovea Optic disc Convergence index filter Diabetic retinopathy 
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Notes

Acknowledgments

The work is part of the Hé Programme of Innovation Cooperation, which is financed by the Netherlands Organization for Scientific Research (NWO), dossier No. 629.001.003.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Behdad Dashtbozorg
    • 1
  • Jiong Zhang
    • 1
  • Fan Huang
    • 1
  • Bart M. ter Haar Romeny
    • 1
    • 2
  1. 1.Department of Biomedical EngineeringEindhoven University of TechnologyEindhovenThe Netherlands
  2. 2.Sino-Dutch School for Biomedical and Information EngineeringNortheastern UniversityShenyangChina

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