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Optic Disc Segmentation Based on Red Channel Retinal Fundus Images

  • Conference paper
Intelligence in the Era of Big Data (ICSIIT 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 516))

Abstract

Glaucoma is a one of the serious diseases that occurs in retina. Early detection of glaucoma can prevent patients from blindness. One of the techniques to support the diagnosis of glaucoma is developed through the detection and segmentation of optic disc area. Optic disc area is also useful in assisting automated detection of abnormalities in the case of diabetic retinopathy. In this work, extracted red channel of colour retinal fundus images is used. Median filter is used to reduce noises in the red channel image. Segmentation of optic disc is conducted based on morphological operation. DRISHTI-GS dataset is used in this research works. Results indicate that the proposed method can achieve an accuracy of 94.546% in segmenting the optic disc.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering and Information Technology, Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia

    K. Z. Widhia Oktoeberza, Hanung Adi Nugroho & Teguh Bharata Adji

Authors
  1. K. Z. Widhia Oktoeberza
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  2. Hanung Adi Nugroho
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  3. Teguh Bharata Adji
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Corresponding author

Correspondence to K. Z. Widhia Oktoeberza .

Editor information

Editors and Affiliations

  1. Informatics, Petra Christian University, Surabaya, Indonesia

    Rolly Intan

  2. CSIRO, Hobart, Tasmania, Australia

    Chi-Hung Chi

  3. Informatics, Petra Christian University, Surabaya, Indonesia

    Henry N. Palit

  4. Informatics, Petra Christian University, Surabaya, Indonesia

    Leo W. Santoso

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© 2015 Springer-Verlag Berlin Heidelberg

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Oktoeberza, K.Z.W., Nugroho, H.A., Adji, T.B. (2015). Optic Disc Segmentation Based on Red Channel Retinal Fundus Images. In: Intan, R., Chi, CH., Palit, H., Santoso, L. (eds) Intelligence in the Era of Big Data. ICSIIT 2015. Communications in Computer and Information Science, vol 516. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-46742-8_32

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  • DOI: https://doi.org/10.1007/978-3-662-46742-8_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-46741-1

  • Online ISBN: 978-3-662-46742-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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