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The Contour Extraction of Cup in Fundus Images for Glaucoma Detection

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 6 No. 6 (2016)

DOI
10.11591/ijece.v6i6.pp2797-2804
ISSN
2088-8708, 2088-8708
Published
2016-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Glaucoma is the second leading cause of blindness in the world; therefore the detection of glaucoma is required. The detection of glaucoma is used to distinguish whether a patient's eye is normal or glaucoma. An expert observed the structure of the retina using fundus image to detect glaucoma. In this research, we propose feature extraction method based on cup area contour using fundus images to detect glaucoma. Our proposed method has been evaluated on 44 fundus images consisting of 23 normal and 21 glaucoma. The data is divided into two parts: firstly, used to the learning phase and secondly, used to the testing phase. In order to identify the fundus images including the class of normal or glaucoma, we applied Support Vector Machines (SVM) method. The performance of our method achieves the accuracy of 94.44%.

Collaboration network of the authors

24 authors · 66 co-authorship links · 29 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Mulawarman University
  • Universitas Teknologi Yogyakarta
  • STMIK Banjarbaru
  • Musamus Merauke University
  • Universitas Respati Yogyakarta
  • STMIK El Rahma Yogyakarta
  • Universitas Islam Negeri Antasari Banjarmasin
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Budi RahmaniSTMIK Banjarbaru5
Heru IsmantoMusamus Merauke University5
Agus Qomaruddin MunirUniversitas Respati Yogyakarta4
Andri SyafriantoSTMIK El Rahma Yogyakarta4
Didit SuprihantoMulawarman University4
Septya MaharaniMulawarman University2
Heliza Rahmania HattaMulawarman University2
Ummul HairahMulawarman University2
Novianti PuspitasariMulawarman University2
Andi TejawatiMulawarman University2
Surya Eka PriyatnaUniversitas Islam Negeri Antasari Banjarmasin2
Enny Itje SelaUniversitas Teknologi Yogyakarta1
Saucha DiwandariUniversitas Teknologi Yogyakarta1
Briyan Efflin SyahputraUniversitas Teknologi Yogyakarta1
Nathaniela Aptanta ParamaUniversitas Teknologi Yogyakarta1
Shinta HermawatiMulawarman University1
Indah Fitri AstutiMulawarman University1
Ramadiani RamadianiMulawarman University1
Famylia Puspa RaniMulawarman University1
Indra Cahya PramuktiMulawarman University1
Hugo ApriliantoSTMIK Banjarbaru1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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