Signal, Image and Video Processing

, Volume 11, Issue 5, pp 945–952 | Cite as

Optic disc and cup segmentation by automatic thresholding with morphological operation for glaucoma evaluation

  • Anindita Septiarini
  • Agus Harjoko
  • Reza Pulungan
  • Retno Ekantini
Original Paper


This research proposes a robust method for disc localization and cup segmentation that incorporates masking to avoid misclassifying areas as well as forming the structure of the cup based on edge detection. Our method has been evaluated using two fundus image datasets, namely: D-I and D-II comprising of 60 and 38 images, respectively. The proposed method of disc localization achieves an average \(F_{\mathrm{score}}\) of 0.96 and average boundary distance of 7.7 for D-I, and 0.96 and 9.1, respectively, for D-II. The cup segmentation method attains an average \(F_{\mathrm{score}}\) of 0.88 and average boundary distance of 13.8 for D-I, and 0.85 and 18.0, respectively, for D-II. The estimation errors (mean ± standard deviation) of our method for the value of vertical cup-to-disc diameter ratio against the result of the boundary by the expert of D-I and D-II have similar value, namely \(0.04 \pm 0.04\). Overall, the result of our method indicates its robustness for glaucoma evaluation.


Glaucoma Disc segmentation Cup segmentation Thresholding Morphology 



The authors would like to thank Dr. Sardjito Hospital and Dr. YAP Eye Hospital in Yogyakarta, Indonesia, for providing the fundus images.


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Copyright information

© Springer-Verlag London 2016

Authors and Affiliations

  • Anindita Septiarini
    • 1
    • 3
  • Agus Harjoko
    • 1
  • Reza Pulungan
    • 1
  • Retno Ekantini
    • 2
  1. 1.Department of Computer Science and Electronics, Faculty of Mathematics and Natural SciencesUniversitas Gadjah MadaYogyakartaIndonesia
  2. 2.Faculty of MedicineUniversitas Gadjah MadaYogyakartaIndonesia
  3. 3.Department of Computer ScienceMulawarman UniversitySamarindaIndonesia

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